Java Modelling Tools an Open Source Suite for Queueing Network Modelling and Workload Analy
Mockito框架教程：Java基础库的单元测试与API使用说明书
About the T utorialMockito is a mocking framework, JAVA-based library that is used for effective unit testing of JAVA applications. Mockito is used to mock interfaces so that a dummy functionality can be added to a mock interface that can be used in unit testing.This tutorial should help you learn how to create unit tests with Mockito as well as how to use its APIs in a simple and intuitive way.AudienceThis tutorial is meant for Java developers, from novice to expert level, who would like to improve the quality of their software through unit testing and test-driven development.After completing this tutorial, you should gain sufficient exposure to Mockito from where you can take yourself to next levels of expertise.PrerequisitesReaders must have a working knowledge of JAVA programming language in order to make the most of this tutorial. Knowledge of JUnit is an added advantage.Copyright & Disclaimer© Copyright 2018 by Tutorials Point (I) Pvt. Ltd.All the content and graphics published in this e-book are the property of Tutorials Point (I) Pvt. Ltd. The user of this e-book is prohibited to reuse, retain, copy, distribute or republish any contents or a part of contents of this e-book in any manner without written consent of the publisher.We strive to update the contents of our website and tutorials as timely and as precisely as possible, however, the contents may contain inaccuracies or errors. Tutorials Point (I) Pvt. Ltd. provides no guarantee regarding the accuracy, timeliness or completeness of our website or its contents including this tutorial. If you discover any errors on our website or in this tutorial, ******************************************T able of ContentsAbout the Tutorial (i)Audience (i)Prerequisites (i)Copyright & Disclaimer (i)Table of Contents (ii)1.MOCKITO – OVERVIEW (1)What is Mocking? (1)Mockito (1)Benefits of Mockito (1)2.MOCKITO – ENVIRONMENT SETUP (4)System Requirement (4)3.MOCKITO – FIRST APPLICATION (8)4.MOCKITO – JUNIT INTEGRATION (13)5.MOCKITO – ADDING BEHAVIOR (17)Example (17)6.MOCKITO – VERIFYING BEHAVIOR (21)Example - verify() with same arguments (21)Example - verify() with different arguments (24)7.MOCKITO – EXPECTING CALLS (28)Example (28)8.MOCKITO – VARYING CALLS (33)Example (33)9.MOCKITO – EXCEPTION HANDLING (37)Example (37)10.MOCKITO – CREATE MOCK (41)Example (41)11.MOCKITO – ORDERED VERIFICATION (45)Example (45)12.MOCKITO – CALLBACKS (50)Example (50)13.MOCKITO – SPYING (55)Example (55)14.MOCKITO – RESETTING A MOCK (60)Example (60)15.MOCKITO – BEHAVIOR DRIVEN DEVELOPMENT (64)Example (64)16.MOCKITO – TIMEOUTS (68)Example (68)Mockito1.What is Mocking?Mocking is a way to test the functionality of a class in isolation. Mocking does not require a database connection or properties file read or file server read to test a functionality. Mock objects do the mocking of the real service. A mock object returns a dummy data corresponding to some dummy input passed to it.MockitoMockito facilitates creating mock objects seamlessly. It uses Java Reflection in order to create mock objects for a given interface. Mock objects are nothing but proxy for actual implementations.Consider a case of Stock Service which returns the price details of a stock. During development, the actual stock service cannot be used to get real-time data. So we need a dummy implementation of the stock service. Mockito can do the same very easily, as its name suggests.Benefits of Mockito∙No Handwriting– No need to write mock objects on your own.∙Refactoring Safe– Renaming interface method names or reordering parameters will not break the test code as Mocks are created at runtime.∙Return value support– Supports return values.∙Exception support– Supports exceptions.∙Order check support– Supports check on order of method calls.∙Annotation support– Supports creating mocks using annotation.Consider the following code snippet.Let's understand the important concepts of the above program. The complete code is available in the chapter First Application.∙Portfolio– An object to carry a list of stocks and to get the market value computed using stock prices and stock quantity.∙Stock– An object to carry the details of a stock such as its id, name, quantity, etc.∙StockService– A stock service returns the current price of a stock.∙mock(...)– Mockito created a mock of stock service.∙when(...).thenReturn(...)– Mock implementation of getPrice method of stockService interface. For googleStock, return 50.00 as price.∙portfolio.setStocks(...)– The portfolio now contains a list of two stocks.∙portfolio.setStockService(...) - Assigns the stockService Mock object to the portfolio.∙portfolio.getMarketValue()–The portfolio returns the market value based on its stocks using the mock stock service.MockitoMockito is a framework for Java, so the very first requirement is to have JDK installed in your machine.System RequirementStep 1: Verify Java Installation on Your MachineOpen the console and execute the following java command.Let's verify the output for all the operating systems:2.If you do not have Java installed, To install the Java Software Development Kit (SDK) click here. We assume you have Java 1.6.0_21 installed on your system for this tutorial.Step 2: Set JAVA EnvironmentSet the JAVA_HOME environment variable to point to the base directory location where Java is installed on your machine. For example,Append the location of the Java compiler to your System Path.Verify Java Installation using the command java -version as explained above.Step 3: Download Mockito-All ArchiveTo download the latest version of Mockito from Maven Repository click here.Save the jar file on your C drive, let's say, C:\>Mockito.Step 4: Set Mockito EnvironmentSet the Mockito_HOME environment variable to point to the base directory location where Mockito and dependency jars are stored on your machine.The following table shows how to set the environment variable on different operating systems, assuming we've extracted mockito-all-2.0.2-beta.jar onto C:\>Mockito folder.Step 5: Set CLASSPATH VariableSet the CLASSPATH environment variable to point to the location where Mockito jar is stored. The following table shows how to set the CLASSPATH variable on different operating systems.Step 6: Download JUnit ArchiveDownload the latest version of JUnit jar file from Github. Save the folder at the location C:\>Junit.Step 7: Set JUnit EnvironmentSet the JUNIT_HOME environment variable to point to the base directory location where JUnit jars are stored on your machine.The following table shows how to set this environment variable on different operating systems, assuming we've stored junit4.11.jar and hamcrest-core-1.2.1.jar at C:\>Junit.Step 8: Set CLASSPATH VariableSet the CLASSPATH environment variable to point to the JUNIT jar location. The following table shows how it is done on different operating systems.End of ebook previewIf you liked what you saw…Buy it from our store @ https://。
计算机辅助翻译系统设计-Internet+时代说明书
Research on Computer-Assisted Translation in the“Internet Plus” EraLiangping Zhang1 and Xiangxin Liu2,*1School of Foreign Languages, Wuhan Polytechnic University, Wuhan, 430028, China 2Department of Public Relations, Wuhan Railway Vocational Technological University, Wuhan, 430028, China*Corresponding authorAbstract—In the "Internet +" era, computer-assisted translation can not only improve the efficiency of translation, but also ensure the improvement of translation quality. This paper attempts to design a computer - aided translation system based on the Internet + era by combining the functions of dictionary support, automatic translation and Internet engine search.Keywords-Internet +; computer-assisted translation; designI.I NTRODUCTIONWhen Internet technology develops rapidly, it not only forces the development of a variety of auxiliary translation tools, but also optimizes the design of computer-aided translation system, not only ensures the integration of a variety of dictionaries, automatic translation software and search engine functions in the process of translation, but also enhances the quality of system-assisted translation, so as to achieve the perfect machine translation as soon as possible and exert a positive impact.II.“I NTERNET +"E RAComputer-assisted translation (CAT) has also successfully squeezed into the translation market in the "Internet +" era. "CAT only seems to be able to translate, but actually it works on ‘fake’ translation rather than translation in a real sense. Only people are really competent at the translation work.” However, with the development of computer technology in "Internet +" era, the optimization of computer-aided translation system can not only give full play to the advantages of computer-aided translation, but also avoid the defects of computer-assisted translation, and bring the advantages of CAT into full play.III.A NALYSIS OF THE R EQUIREMENTS FOR THE D ESIGN OFC AT S YSTEMTranslation memory is the core technology of CAT. We can make a comparison between the untranslated fragments and the existing translated fragments. Through the process of comparing the existing translation fragments of the existing system, the fragment with high matching rate can be output from the system for reference by the translator. Therefore, for the design of the actual system in the “Internet + "era, Internet dictionary tools can meet the actual translator’s needs to look up words and split words. And in the “Internet + "era, the design of computer-aided translation system can also give machine translation quickly and improve the productivity of translation software. Whether the sentence is short or long, even the entire article or the entire page can be immediately translated. Similarly, in the system design, with the help of the search engine, we can get a large number of the source language and target language information focusing on translation tasks, and have access to background knowledge search and translation of professional vocabulary. This information has a positive impact on improving the quality of computer-assisted translation and efficiently accomplishing translation tasks.IV.D ESIGN C OMPUTER -A IDED T RANSLATION S YSTEM INTHE “I NTERNET +”E RAA.Overall Structural DesignIn the “Internet +” era, the design and implementation of computer-aided translation system can start from three modules: dictionary tools, automatic translation and search engine. The integration of the three modules into the system design can improve the quality of computer-assisted translation.B.Functional DesignDictionary function: mainly including word search, word split and translation and example sentence search. The meaning of a word can often be derived from other words that are used in conjunction with it, of which the resulting translation is quick and easy and basically, the majority of words can be found. In actual machine-assisted translation, different machine dictionaries will make different translations for the same sentence.Reasonable use of online dictionary segmentation translation function is possible to a certain extent, reduce the intensity of translation and improve the speed and quality of translation. When a word has more meaning and usage, which is difficult to make a decision, we can query its use in different sentences through the support of some auxiliary tools with functions of word search and sentence search, so as to obtain the translation of the reference answer.Automatic translation function: mainly including the use of automatic translation of direct access to translation, access to "effective translation of information" and the advanced use of automatic translation. In order to make the automatic translation be able to "understand" the human language better, it is advisable to make necessary adjustments or modifications2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM 2017)without changing the original meaning. Pretranslation does not have to be done to any sentence, but it does help to improve the translation, especially for that rules-oriented automatic translation software. The correct result given by the machine translation is to be retained; the result given by the machine translation which is basically correct but contains a small error is to be adjusted.Search engine function: mainly including background knowledge search, professional vocabulary translation and the network translation method of professional vocabulary. "Internet +" era greatly improves the efficiency of the acceptance of knowledge. The translation of "YX, YXKS, YXKK series of high-efficiency high-voltage three-phase asynchronous motor use and maintenance manual" involves a lot of three-phase asynchronous motor terms and a large number of proper nouns with high usage frequency. The accuracy of the translation results directly affects the quality of the translation; search engines can be used to improve translation accuracy.C.Assisted Translation Model in the "Internet +" EraIn the "Internet +" era, translation model of the computer-aided translation system can focus on translation user’s needs in practice, through the system's human-computer interface, so as to output results according to the relevant functions of assisted translation to assist users to practice translation.V.A PPLICATION B ENEFIT AND D EVELOPMENT T ENDENCYOF C AT S YSTEMIn the “Internet +" era, the design of CAT system can help to meet the requirements of translation practice and improve the teaching ability of translation practice in specific translation practice. In the "Internet +" era, the use and design of CAT system, not only can improve the operability by 18. 0%, but also ensure the increase of translation practice quality in the “Internet +" era by 20%, so as to effectively promote the exchanges of translation and culture among different languages and give full play to the application benefits of design.In addition, as a tool for the development of human society, the goal of computer-aided translation technology is to continuously improve the level of automation, and gradually transform the computer into the main translation project, to achieve intelligent computer-aided translation, save manpower and improve human efficiency. The author believes that the development can be called Smart CAT. The concept for the smart development of CAT can be divided into the following three aspects:First of all, to improve the combination with the translation theory. Theory is the basis of practice, computer-assisted translation technology and translation theory should be closely integrated. The combination of Computer-assisted translation and translation theory can choose selective operation, namely to establish a translation theory according to the classification of terminology, and make users to select the appropriate translation theory according to the source text before translation. The translation of literary works such as poetry can choose Xu Yuanchong's "three beauties" theory. Translation of non-literary works can choose Eugene Nida's dynamic functional equivalence theory, or choose literal translation and free translation, assimilation and alienation according to the situation and customer needs. To be simple, translation theory is the general standard for classification, and the branch under is classified according to the specific translation theory. At the same time, because the translation theory is developing dynamically and constantly improving, it should be directly attached to some of the translation methods as classification items. Then set the translation summary of various words, phrases, chapters under various classification items. Finally, identify the system through a specific program in translation practice and make accurate choice of the translation results. This will ensure the accuracy of translation in theory, so as to improve the quality of translation.Second, expand the source of the termbase. To achieve the accuracy of translation, we can also start from expanding the source of the term base. Term base is people’s automatic collection and summary of terms in translation practice, which determines that the size a person's term base depends on its translation workload and translation time. However, in today's society, full-time translators tend to turn to part-time translators, so it is difficult for a single translator to form a systematic, comprehensive term base. Thus, the existence of termbase can not simply rely on the translator and the expansion of the term base from the point to the surface is a wise move. Based on the protection and respect for individual labor outcomes, the realization of this change requires the help of a compensatory mechanism. It may be understood that a termbase smart user identification system may be added to the computer-assisted translation software. The termbase may be freely importable, but may only be exported in a particular form and a particular program. When the first translator and the computer-aided translation software development company reach an agreement, the first translator will share the term base he organized with the computer-aided translation software development company for consideration. Then the computer-assisted translation software development company shares the termbase with the second translator who is required by the term for consideration, but the term base can not be directly shared by the second translator to other translators except the first translator. In this way, the computer-aided translation software development company serves as a shared intermediary to assume the role of this termbase collection. In a sense, the computer-aided translation software development company is all translators’ term base, which provides resources to smart computer-assisted translation.Finally, simplify the operating procedures. One of the requirements of intelligent is the simple operation. Simple operation is not only the embodiment of a high level of intelligence, but also the key to the wide promotion of the technology. For example, the simplification of computer typing software. The initial typing software requires users to master Wubi input method, and then to master pinyin input method. But now, we have long been able input with fuzzy handwriting on desktop. The improvement of the typing software has greatly expanded range of the computer user's age. Because the gender of the translator is mainly composed of women, and considering the influence of family, interest and other factors, some of the current computer-aided translation softwareoperating procedures for many translators need to be simplified. Simplify the operating procedures of the software and carry out a reasonable division of the task of translation, so as to promote the sound development of the cause of translation.VI.C ONCLUSIONIn summary, in the "Internet +" era, the design of computer-aided translation system can not only ensure that the translators automatically work on language translation with the help of computer-assisted translation system, but also enhance the translation quality and efficiency, promote the performance of computer-aided translation, and give full play to the application value with the help of search engine function in the "Internet +" age.A CKNOWLEDGMENTThis research was supported by Humanities and Social Science Fund of Ministry of Education(12YJAZH192).R EFERENCES[1] Chen Sili. The Advantages and Limitations of Computer AssistedTranslation in the Age of Internet Science and Technology [J].Electronic Testing, 2013, (14).[2] Ye Na, Zhang Guiping, Han Yadong and so on. From computer - aidedtranslation to collaborative translation [J]. Journal of Chinese Information Processing, 2012, 26 (6).[3] Dong Hongxue, Han Dawei. Design of computer - aided translationcourse in translation majors of science and engineering colleges [J].Chinese University Teaching, 2012, (9).[4] Sun Na. Computer Assisted Translation and English News Compilationof Teaching Methodology - Access Database Application [J]. Overseas English (on), 2013, (11).[5] Xiong Jing, Gao Feng, Wu Qinxia and etc. Research on OracleComputer - aided Translation Technology [J]. Science and Technology and Engineering, 2014, 14 (2).。
DevSecOps教程说明书
DevSecOpsWhat Why and How?Anant Shrivastava@anantshriNotSoSecure Global ServicesDirector NotSoSecure Global ServicesSysadmin / Development / SecurityTrainer / Speaker: BlackHat, Nullcon, RootConf, RuxCon, IPExpo, C0c0n Project Owner: Android Tamer, Code VigilantContributor: null, G4H, OWASP and morehttps:// (@anantshri on social platforms)About: Anant ShrivastavaAgenda●What is DevSecOps?●Why do we need DevSecOps?●How do we do DevSecOps?●Integrate Security in DevOps Pipeline●Tools of Trade●Sample Implementation (On Prem and Cloud Native)●Case StudiesDisclaimer●I will be listing a lot of tools, It’s not an exhaustive list ●I don't endorse or recommend any specific tool / vendor ●Every environment is different: Test and validate beforeimplementing any ideasWhat is DevSecOps? Effort to strive for “Secure by Default”●Integrate Security via tools●Create Security as Code culture●Promote cross skillingWhy do we need DevSecOps?●DevOps moves at rapid pace, traditional security just can’tkeep up●DevSecOps makes it easier to manage rapid pace ofdevelopment & large scale secure deployments●DevSecOps allows for much smoother scaling of process ●Security as part of process is the only way to ensure safetyDeveloperSource Code RepositoryBuildCI/CD Server Staging /QAProduction MonitoringSuite of Security Test1 SQL Injection Fewer Man Day Effort No New DeploymentsAutomated Source Code ReviewDeveloperSource Code RepositoryBuildCI/CD ServerStaging /QA Production MonitoringSuite of Security TestHow do we do DevSecOps?●DevSecOps is Automation + Cultural Changes●Integrate security tools into your DevOps Pipeline●Enable cultural changes to embrace DevSecOpsPre-Commit Hooks IDE PluginsDeveloperSecretsManagementCode RepositoryCI/CD ServerStatic Application SecurityTesting(SAST)SourceComposition Analysis (SCA)Pre-BuildDynamic Application SecurityTesting(DAST)Post-BuildBuild Artifacts versioning against code commitsArtifact RepositoryManual Web Application Pentesting Business Logic FlawsQA/StagingSecurity in Iaac Compliance as CodeAlerting & MonitoringProductionVulnerability ManagementInjecting Sec in DevOpsDevOps ---> DevSecOps DevOps PipelineDevSecOps PipelinePre-Commit Hooks●Sensitive information such as the access keys, accesstokens, SSH keys etc. are often erroneously leaked due to accidental git commits●Pre-commit hooks can be installed on developer’sworkstations to avoid the same●Work on pure Regex-based approach for filtering sensitivedata●If developers want they can circumvent this step hence useit like a defense in depth but don't fully rely on itIDE Security Plugin●IDE Plugin's provide quick actionable pointer to developers ●It is useful to stop silly security blunders●Work on pure Regex-based approach●If developers want they can circumvent this step hence useit like a defense in depth but don't fully rely on itSecrets Management●Often credentials are stored in config files●Leakage can result in abuse scenario●Secrets Management allows you totokenize the informationSoftware Composition Analysis●We don’t write software's, we build on frameworks●Biggest portion of software is now third party libraries●Major languages provide module managements●PIP, NPM, Gems, go get, perl cpan, php packager and more●Software Composition Analysis performs checks to identifyvulnerable/outdated 3rd party librariesStatic Analysis Security Testing●White-box security testing using automated tools●Useful for weeding out low-hanging fruits like SQL Injection,Cross-Site Scripting, insecure libraries etc●Tool by default configured with generic setting, needsmanual oversight for managing false-positivesDynamic Analysis Security Testing●Black/Grey-box security testing using automated tools●SAST may not get full picture without application deployment ●DAST will help in picking out deployment specific issues●Results from DAST and SAST can be compared to weed outfalse-positives●Tools may need prior set of configuration settings to givegood resultsSecurity in Infrastructure as Code●Infrastructure as a code allows you to document andversion control the infra●It also allows you to perform audit on the infrastructure●Docker / K8s infra relies on base images●Environment is as secure as the base image●Base images need to be minimal in nature and need to beassessed to identify inherited vulnerabilitiesCompliance as Code●Compliance could be industry standard (PCI DSS, HIPAA,SOX) or org specific●Compliance is essentially a set of rules and hence can beconverted into written test cases●Having written code format this can again be versioncontrolledVulnerability Management●All the tools discussed above result in report fatigue●Every tool has a different style of presentation● A central dashboard is required to normalize the data●Vulnerability Management System can then be integrated tobug tracking systems to allow devs to work on itemsAlerting and Monitoring●Monitoring is needed for two end goals●Understand if our security controls are effective●What and where we need to improve●To test Security control effectiveness:●When did an attack occur●Was it blocked or not●What level of access was achieved●what data was bought in and bought outAsset Monitoring●With recent advancements assets now should includeanything and everything where organization data resides●With rapid development & provisioning the asset inventorycan't be a static inventory●We need to monitor the assets constantly both on premiseand CloudReference: https:///blog/redifining-assets-a-modern-perspective.htmlSample Implementation - Java A simplistic flow of DevSecOps Pipeline incorporating various stagesPre-Commit Hooks Software Composition AnalysisStatic Analysis Security Testing(SAST)Secret Management Threat Modelling Tools ThreatSpec Microsoft ThreatModeling ToolRetire.js IDE Plugins Git HoundtruffleHog KeywhizDynamic Analysis Security Testing (DAST)Security in Infrastructure asCodeCompliance as Code Vulnerability ManagementWAFDocker Bench for SecurityTo be or Not to Be in Pipeline ●API / command line access●Execution start to final output should be 15 minutes max ●Tools should be Containerizable / scriptable●Minimal licensing limitations (parallel scans or threads)●Output format parsable / machine readable (no to stdout,yes to json / xml)●Configurable to counter false negatives / false positivesPipeline Optimization●Pipeline to be tweaked based on Milestone (Initiative/Epic/Story)●Remember initial onboarding is tedious●Ensure dataset dependent tool get frequent data refresh●Sample optimization●Only CSS Changes: no need for SCA●Only pom.xml or gradle changes: no need of SAST●If Infra as code has zero changes skip or fast track infra scan●Ensure to run full (non optimized) pipeline periodicallyDoes Programming Language Matter ●Different programming languages need different tools forstatic analysis and software composition analysis●Some tools support multiple languages like sonarqube●Others are focused on one languageLanguage Specific ToolsJAVAPHPPythonRuby/RailsLanguagesSoftware Composition Analysis Source Code Static Analysis .NETDotNET Retire SafeNuGet ClearlyDefined Node JS ClearlyDefinedgraudit graudit graudit DotNet Security Guard Brakeman graudit NodeJsScan npm-checkDevSecOps Lab - RubyDevSecOps Lab - PHPDevSecOps Lab - PythonDevSecOps Lab - NodeJS●The Threat Landscape changes-Identity and Access Management -Asset Inventory -Billing●Infrastructure as Code allows quick audit / linting ●Focus more on:-Security groups-Permissions to resources -Rogue / shadow admins-Forgotten resources (compromises / billing)What about CloudCloud Native Approach to Security●Different Service Providers Approach Security Differently ●All of them provide some of the ingredient in-house●Irrespective of Cloud provider some tools will still need tobe sourced●Static Code Analysis Tool●Dynamic Code Analysis Tool●Software Composition Analysis●Vulnerability Management ToolAWS Cloud Native DevSecOpsCloud Native Dev[Sec]OpsConventional Infra AWS Azure GCPSource Code Management Bitbucket, Github, Gitlab etc..AWS CloudCommit Azure Repos Cloud Source Repositories Infrastructure As a Code Chef, Puppet, Ansible more..Amazon CloudFormation Azure DevTest Labs Cloud CodeCI/CD Server Jenkins, Bamboo, Gitlab,Travis CI, Circleci moreAWS CodeBuildAWS CodeDeployAWS CodePipelineAzure Pipelines, Azure Test Plans Cloud Build, TektonArtifactory RepositoryjFrog Artifactory,Sonatype Nexus, more..Amazon S3Azure Artifacts Cloud FirestoreStg/Prod ServersVMWare,On-premises serversEC2ECS (Elastic Containers)EKS (Elastic Kubernetes)Virtual Machines,Azure Lab Services,Azure Kubernetes Service (AKS)Compute Engine,App Engine,Shielded VMsMonitoring & Alert Nagios, Graphite, Grafana AWS CloudWatch Azure Monitor, Network Watcher Access TransparencyFirewall Modsecurity AWS Firewall Manager, AWSWAFAzure Firewall Application GatewayDLP MyDLP, OpenDLP Amazon Macie Azure Information Protection Cloud Data Loss PreventionThreat Detection Snort, Kismet Amazon GuardDuty Azure Advanced ThreatProtectionEvent Threat Detection (beta)Vulnerability Scanning OpenVAS, Nessus Amazon Inspector Azure Security Center Cloud Security Scanner Secrets Management Hashicorp Vault, Docker Secrets AWS Secrets Manager Azure Key Vault Secrets management●Automation alone will not solve the problems●Encourage security mindset especially if outside sec team ●Cultivate/Identify common goals for greater good ●Build allies (security champions) in company ●Focus on collaboration and inclusive culture ●Avoid Blame GameSecurity team should try to eliminate the need of dedicated security teamCultural AspectSecurity Champion●Bridge between Dev, Sec and Ops teams●Single Person per team●Everyone provided with similar cross skilling opportunities ●Incentivize other teams to collaborate with Sec team○Internal Bug bounties○Sponsor Interactions (Parties / get-togethers)○Sponsor cross skilling trainings for other teamsSecurity EnablersPeople•Build relationships between teams, don’t isolate•Identify, nurture security conscious individuals•Empower Dev / ops todeliver better and fasterand secure, instead ofblocking.•Focus on solutions instead of blamingProcess•Involve security from get-go(design or ideation phase)•Fix by priority, don’tattempt to fix it all•Security Controls must beprogrammable andautomated whereverpossible•DevSecOps Feedbackprocess must be smoothand governedTechnology•Templatize scripts/tools perlanguage/platform•Adopt security to devopsflow don’t expect others toadopt security•Keep an eye out for simplerand better options and bepragmatic to test and usenew toolsGeneric Case StudyNegative Case StudiesC l o u d A ss e t sM i s co n f ig u r at i o nPrevention: Continuous monitoring and review of cloud assets and configIs it Enough?●Rite of passage by periodic pen test and continuous bug bounty●It's not just important to get feedback but to also action on them●Risk Acceptance Documentation should be the worst case scenarionot your first bet●Did we secure the security controls●DevSecOops : If attacker controls securitytools / build chain It has limitless power●Ensure the same practice is followed backagain for these tools●Security role doesn't means you get tocircumvent the rules●Follow basic security hygiene we alwayskeep talking about●Secure configuration●Patching PolicyWho Watches the WatcherReferences•https:///docs/us-17/thursday/us-17-Lackey-Practical%20Tips-for-Defendin g-Web-Applications-in-the-Age-of-DevOps.pdf•https:///hubfs/2018%20State%20of%20the%20Software%20Supply%20 Chain%20Report.pdf•https://snyk.io/opensourcesecurity-2019/•https:///•https:///state-of-software-security-reportKey Takeaways●Security is everyone responsibility●Embrace security as an integral part of the process, use feedback torefine the process●DevSecOps is not a one size fit all: your mileage will vary*********************。
modellingtocontainpandemics：模型包含流行病
Modelling to contain pandemicsAgent-based computational models can capture irrational behaviour, complex social networks and global scale — all essential in confronting H1N1, says Joshua M. Epstein .A s the world braces for an autumn wave of swine flu (H1N1), the relatively new technique of agent-based computational modelling is playing a central part in mapping the disease’s possible spread, and designing policies for its mitigation.Classical epidemic modelling, which began in the 1920s, was built on differential equa-tions. These models assume that the popula-tion is perfectly mixed, with people movingfrom the susceptible pool,to the infected one, to therecovered (or dead) one.Within these pools, every-one is identical, and no oneadapts their behaviour. A tri-umph of parsimony, this approachrevealed the threshold nature of epidem-ics and explained ‘herd immunity’, wherethe immunity of a subpopulation can stifleoutbreaks, protecting the entire herd.But such models are ill-suited to captur-ing complex social networks and the direct contacts between individuals, who adapt theirbehaviours — perhaps irrationally — based on disease prevalence. Agent-based models (ABMs) embrace this complexity. ABMs are artificial societies: every single person (or ‘agent’) is represented as a dis-tinct software individual. The computer model tracks each agent, ‘her’ contacts and her health status as she moves about virtual space — travel-ling to and from work, for instance. The models can be run thousands of times to build a robust statistical portrait comparable to epidemic data. ABMs can record exact chains of transmission from one individual to another. Perhaps most importantly, agents can be made to behave something like real people: prone to error, bias, fear and other foibles. Such behaviours can have a huge effect on disease progres-sion. What if significant num-bers of Americans refuse H1N1 vaccine out of fear? Surveys and historical experience indicate that this is entirely possible, as is substantial absenteeism among health-care workers. Fear itself can be contagious. In 1994, hundreds of thousands of people fled the Indian city of Surat to escape pneumonic plague, although by World Health Organization criteria no cases were con-firmed. The principal challenge for agent mod-elling is to represent such behavioural factors appropriately; the capacity to do so is improv-ing through survey research, cognitive science,and quantitative historical study.Robert Axtell and I published a full agent-based epidemic model 1 in 1996. Agents withdiverse digital immune systems roamed a land-scape, spreading disease. The model trackeddynamic epidemic networks, simple mecha-nisms of immune learning, and behaviouralchanges resulting from disease progression, allof which fed back to affect epidemic dynamics.However, the model was small (a few thousandagents) and behaviourally primitive.Now, the cutting edge in performance is theGlobal-Scale Agent Model (GSAM)2, developedby Jon Parker at the Brookings Institution’sCenter on Social and Economic Dynamics inWashington DC, which I direct. This includes6.5 billion distinct agents, with movementand day-to-day local interactions modelled asavailable data allow. The epidemic plays outon a planetary map, colour-coded for the dis-ease state of people in differentregions — black for suscepti-ble, red for infected, and bluefor dead or recovered. The map pictured shows the state ofaffairs 4.5 months into a simu-lated pandemic beginning inTokyo, based on a plausible H1N1 variant.For the United States, the GSAM contains 300million cyber-people and every hospital andstaffed bed in the country. The National Centerfor the Study of Preparedness and CatastrophicEvent Response at Johns Hopkins University inBaltimore is using the model to optimize emer-gency surge capacity in a pandemic, supportedby the Department of Homeland Security.Models, however, are not crystal ballsand the simulation shown here is not a pre-diction. It is a ‘base case’ which by design is highly unrealistic, ignoring pharmaceuticals, quarantines, school closures and behavioural adaptations. It is nonetheless essential because, base case in hand, we can rerun the model to investigate the questions that health agencies face. What is the best way to allocate limited supplies of vaccine or antiviral drugs? How effective are school or work closures? Agent-based models helped to shape avian flu (H5N1) policy, through the efforts of the National Institutes of Health’s Models of Infectious Disease Agent Study (MIDAS) — a research network to which the Brookings Institution belongs. The GSAM was recently presented to officials from the Centers for Disease Control and Prevention in Atlanta, Georgia, and other agencies, and will be inte-gral to MIDAS consulting on H1N1 and other emerging infectious diseases. In the wake of the 11 September terrorist attacks and anthrax attacks in 2001, ABMs played a similar part in designing containment strategies for smallpox. These policy exercises highlight another important feature of agent models. Because they are rule-based, user-friendly and highly visual, they are natural tools for participatory modelling by teams — clinicians, public-health experts and modellers. The GSAM executes an entire US run in around ten minutes, fast enough for epidemic ‘war games’, giving deci-sion-makers quick feedback on how interven-tions may play out. This speed may even permit the real-time streaming of surveillance data for disease tracking, akin to hurricane tracking. As H1N1 progresses, and new health challenges emerge, such agent-based modelling efforts will become increasingly important. ■Joshua M. Epstein is director of the Center on Social and Economic Dynamics at the Brookings Institution, 1775 Massachusetts Avenue, Washington DC 20036, USA.e-mail:**********************1. Epstein, J. M. & Axtell, R. L. Growing Artificial Societies: Social Science from the Bottom Up Ch. V. (MIT Press, 1996).2. Parker, J. A. ACM Trans Model. Comput. S. (in the press).See Opinion, page 685, and Editorial, page 667. Further reading accompanies this article online. “Agents can be made to behave something like real people: prone to error, bias, fear.”J . P A R K E RSimulation of a pandemic beginning in T okyo.687Below is given annual work summary, do not need friends can download after editor deleted Welcome to visit againXXXX annual work summaryDear every leader, colleagues:Look back end of XXXX, XXXX years of work, have the joy of success in your work, have a collaboration with colleagues, working hard, also have disappointed when encountered difficulties and setbacks. Imperceptible in tense and orderly to be over a year, a year, under the loving care and guidance of the leadership of the company, under the support and help of colleagues, through their own efforts, various aspects have made certain progress, better to complete the job. For better work, sum up experience and lessons, will now work a brief summary.To continuously strengthen learning, improve their comprehensive quality. With good comprehensive quality is the precondition of completes the labor of duty and conditions. A year always put learning in the important position, trying to improve their comprehensive quality. Continuous learning professional skills, learn from surrounding colleagues with rich work experience, equip themselves with knowledge, the expanded aspect of knowledge, efforts to improve their comprehensive quality.The second Do best, strictly perform their responsibilities. Set up the company, to maximize the customer to the satisfaction of the company's products, do a good job in technical services and product promotion to the company. And collected on the properties of the products of the company, in order to make improvement in time, make the products better meet the using demand of the scene.Three to learn to be good at communication, coordinating assistance. On‐site technical service personnel should not only have strong professional technology, should also have good communication ability, a lot of a product due to improper operation to appear problem, but often not customers reflect the quality of no, so this time we need to find out the crux, and customer communication, standardized operation, to avoid customer's mistrust of the products and even the damage of the company's image. Some experiences in the past work, mentality is very important in the work, work to have passion, keep the smile of sunshine, can close the distance between people, easy to communicate with the customer. Do better in the daily work to communicate with customers and achieve customer satisfaction, excellent technical service every time, on behalf of the customer on our products much a understanding and trust.Fourth, we need to continue to learn professional knowledge, do practical grasp skilled operation. Over the past year, through continuous learning and fumble, studied the gas generation, collection and methods, gradually familiar with and master the company introduced the working principle, operation method of gas machine. With the help of the department leaders and colleagues, familiar with and master the launch of the division principle, debugging method of the control system, and to wuhan Chen Guchong garbage power plant of gas machine control system transformation, learn to debug, accumulated some experience. All in all, over the past year, did some work, have also made some achievements, but the results can only represent the past, there are some problems to work, can't meet the higher requirements. In the future work, I must develop the oneself advantage, lack of correct, foster strengths and circumvent weaknesses, for greater achievements. Looking forward to XXXX years of work, I'll be more efforts, constant progress in their jobs, make greater achievements. Every year I have progress, the growth of believe will get greater returns, I will my biggest contribution to the development of the company, believe inyourself do better next year!I wish you all work study progress in the year to come.。
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Modelling, simulation and experimental investigation
ORIGINAL ARTICLEModelling,simulation and experimental investigation of cutting forces during helical milling operationsChangyi Liu &Gui Wang &Matthew S.DarguschReceived:21September 2011/Accepted:23January 2012/Published online:18February 2012#Springer-Verlag London Limited 2012Abstract The kinematics of helical milling on a three-axis machine tool is first analysed.An analytical model dealing with time domain cutting forces is proposed in this paper.The cutting force model is established in order to accurately predict the cutting forces and torque during helical milling operations as a function of helical feed,spindle velocity,axial and radial cutting depth and milling tool geometry.The forces both on the side cutting edges and on the end cutting edges along the helical feed path are described by considering the tangential and the axial motion of the tool.The dual periodicity which is caused by the spindle rotation,as well as the period of the helical feed of the cutting tool,has been included.Both simulation and experiments have been performed in order to compare the results obtained from modelling with experiments.Keywords Helical milling .Hole machining .Cutting forces .Analytical model .Time domainNomenclature a e i ,a e *Radial cutting depth of side cutting edge andend cutting edge (millimetres)a p i ,a p *Axial cutting depth of side cutting edge and endcutting edge (millimetres)D m Milling tool diameter (millimetres)F Cutting force (newtons)f va Axial component of helical feed speed (millimetres per second)f vt X –Y plane component of helical feed speed (millimetres per second)f za Axial component of helical feed rate per tooth (millimetres)f zt X –Y plane component of helical feed rate per tooth (millimetres)h i ,h *Instantaneous undeformed chip width of side cutting edge and end cutting edge (millimetres)K rc ,K tc ,K ac Cutting force coefficients of radial,tangential and axial direction (newtons per square millimetre)K re ,K te ,K ae Cutting force coefficients of edge effect (newtons per millimetre)K *vc ,K *nc Tangential and normal cutting force coefficients of end cutting edges (newtons per square millimetre)K *ve ,K *ne Tangential and normal cutting force coefficients of edge effect (newtons per millimetre)P Pitch of the helix feed trajectory N m Flute number of the milling toolv Velocity of milling tool or velocity of a point of the cutting edge (millimetres per second)t Time (seconds)βHelix angle of the milling tool fluteθAngular of motive direction and X –Y plane of a point of the cutting edge (radians)ϕϕj Relative rotational angle of milling tool and the cutting tooth j (radians)Φst ,Φex Cut-in and cut-out relative rotational angle of the cutting toolΦB Diameter of the hole (millimetres)ΦODiameter of the helical feed trajectory in X –Y plane (millimetres)C.Liu (*)Nanjing University of Aeronautics &Astronautics,Nanjing,Jiangsu,Chinae-mail:liuchangyi@G.Wang :M.S.DarguschCAST CRC,School of Mechanical and Mining Engineering,The University of Queensland,Brisbane,Queensland,Australia G.Wange-mail:gui.wang@.au M.S.Dargusche-mail:m.dargusch@.auInt J Adv Manuf Technol (2012)63:839–850DOI 10.1007/s00170-012-3951-4ΩSpindle rotating angular velocity(radians per second)Ωh Helix feed rotating angular velocity(radians per second)1IntroductionHelical milling has been applied to generate boreholes by means of a milling tool to some difficult-to-cut materials. This innovative method was found to facilitate hole making in AISI D2tool steel in its hardened state,resulting in an enhancement in cutting tool life and the ability to machine H7quality holes with a surface finish of0.3μm Ra[1].The operation has also been applied to hole making in composite-metal compounds as a substitute for drilling operations.The impact of the axial and tangential feed per tooth on the process forces[2]has been investigated. Employing helical milling to aluminium with minimum quantity lubrication has shown an improvement in geometri-cal accuracy and a reduction in burr formation,lower cutting temperature and a smaller cutting force compared to drilling operations[3].The prediction of cutting force through modelling and simulation is an important research area in order to improve process ling is the most complex machining operation.Previously in the literature,machining mechanisms have been derived from a general model[4,5]and applied to the specific application,for example,five-axis milling, three-axis milling,peripheral milling,face milling and plunge milling.Modelling peripheral milling is a fundamental requirement in order to model more complex milling operations.A theoretical model based on the oblique cutting principle and cutting force coefficients has been developed in order to predict the cutting forces during peripheral milling[6–8].Considering the helical flute(or side cutting edge)of the milling cutters,an attempt to accurately simulate milling forces including the effects of engaged flute length and the number of engaged flutes caused by the radial and axial depths of cut has been previously presented[9].A common approach to facilitate the modelling of this complex situation including the milling tool geometry and the interaction with the workpiece involves analysing the cutting forces on axial discrete milling tools,then integrating these force elements.The intersection of the tool path swept envelope with the workpiece Z-buffer elements has been used to find the contact area between the cutter and the workpiece. An axial slice cutting tool discrete mechanistic model was used to estimate the cutting force vectors[10].Cutter entry and exit angles,along with the immersion angles,were used as boundary conditions in order to predict cutting forces when flank milling ruled surfaces with tapered,helical and ball end mills[11].The effect of lead and tilt angles between the cutter and the workpiece on the milling forces,tool deflections and form errors during multi-axis end milling have been analysed[12,13].During modelling of the cutting forces and system dynamics,one of the outstanding characteristics is that both side cutting edges and end cutting edges interact with the workpiece during helical milling processing.An accurate predictive model should describe and sum up the mechanics on both edges simultaneously.Ball end milling tools are most often used in three-axis or five-axis milling.Ball end milling tool processing models have been separated into ball end and cylindrical sections in order to obtain accurate prediction[10,14,15].A mechanistic force model describing the cutting force as a sum of the cutting and edge forces has been developed for a general end milling cutter(cylindrical,taper,ball,bull nose)with the specific cutting and edge force coefficients identified[16].As one type of three-axis milling operation,axial feed is a typical characteristic of helical milling operations. This operation uses a flat end mill not a ball end mill that is used in typical3-axis and5-axis milling situations.Axial feed using a flat end mill is also applied in plunge milling which is a two-axis operation.Considering rigid body motion of the cutter,the cutting force model and dynamics model for the plunge milling process in the time domain have been established[17,18].The cutting forces associated with plunge milling operations are predicted by considering the feed,radial engagement,tool geometry,spindle speed and the regenera-tion of the chip load due to vibrations[19].Considering the flexibility of the workpiece,tool setting errors and tool kine-matics and geometry,a horizontal approach was used to compute the chip area including the contribution of the main and side edge in the cutting zone[20].Drilling operations and boring operations typically involve axial feed.Both these operations are similar to helical milling and plunge milling operations but with different cutting tools.The drilling cutting forces and dynamics have been integrated into the model in order to obtain drilled hole profiles[21].A mechanistic model for predicting thrust force and torque during the drilling process using a drill tool with double-point angle edges [22].To predict temperatures and forces on both the drilling and ball end milling operations,the cutting edges of the twist drill lip and the ball end mill were divided into oblique cutting elements[23].A theoretical model to predict thrust and torque in high-speed drilling has been presented[24,25].The methodology for extracting cutting force coefficients for drilling operations has also been investigated[26].When modelling the drilling process, the axial feed effect was not considered explicitly because the lip of the twist drill has a taper angle(point angle),and the interaction between the lip and workpiece caused by spindle rotation could lead to a spontaneous axial force(thrust).In the literature,helical milling has been introduced as an enabling technology to substitute for drilling operations [1–3].In recent years,research on modelling the mechanics of the helical milling process has been published [27,28].Although both the side cutting edges and the end cutting edges have been considered to participate in the machining process,the detail interaction between the end cutting edges and workpiece still needs more elaborate investigation and description.Modelling,simulation and experimental investigation during cutting forces of the helical milling operation will be discussed in this paper including the influence of helical feed.This research aims to develop an analytical cutting force model in the time domain including both the axial cutting depth and the radial cutting depth associated with helical milling operations.The model considers the effects of both the tangential feed and axial feed,and the combination of both mechanics on the side cutting edges and the end cutting edges.2Kinematics of helical millingIn helical milling,the trajectory of a point on the milling toolcutting edge is the result of the spiral curve movement of the axis of the tool (reference frame)and the circular movement of the edge point relative to the axis (relative motion).Two sets of coordinates are defined to describe the motion of the cutter and the cutting force on the cutter;an X,Y ,Z global coordinate frame fixed to the workpiece and an x,y,z local coordinate frame fixed to the cutting tool with the origin at the centre of the end flat surface which defines the reference frame.A description of helical milling with tool feed using helical trajectory and the coordinate settings are depicted inFig.1.The feed motion of the tool is decomposed into two components,f va and f vt .f vt ¼ΦB ÀD m ðÞΩh 2¼N m Ωf zt2p mm =s ðÞð1Þf va ¼P Ωh 2p ¼N m Ωf za 2pmm =s ðÞð2ÞThe flat-end cylinder milling tools suitable for helical milling operations have two types of cutting edges:the side cutting edge (peripheral cutting edge)and the end cutting edge through the centre.The interaction characteristics of these two types with the workpiece are different.The side edges participate in the peripheral cutting component,while the end edges participate in the plunge cutting component.Therefore,these two movements will be initially analysed separately before being assembled or composed.The side edge cutting process is typical intermittent cutting.The undeformed chip geometry,width,depth,and thickness have been described in the literature [2].The side edge cutting process that is typical intermittent cutting is depicted in Fig.2(using superscript i ).The velocity composition of an arbitrary point on the side cutting edge is described in cross section perpendicular to the tool axis.The undeformed chip geometry can be described as a i e ¼D m ;hole generating ΦB ÀΦO2;hole enlarging&ð3Þa i p ðt Þ¼f va t ;t 2p =Ωh P ;t >2p =Ωh&ð4Þh i ¼f zt sin fð5ÞFig.1Kinematics of helical millingwhere ϕ¼2p ΩÆΩh ðÞt is the relative rotational angle of the cutter (+up milling,−down milling).The end edge cutting process,which is continuous cutting,is depicted in Fig.3(using superscript *).The velocity composition of an arbitrary point on the end cutting edge is described in the cross section perpendicular to the end cutting edge.The undeformed chip geometry,width and height can be described as:a Ãe ¼D m ;hole making ΦB ÀΦO 2;hole enlarging &ð6Þh üf za cos θð7Þ3Cutting force model for helical milling 3.1Cutter feed influence on the cutting forcesThe influence of cutter feed movement on the cutting forces during machining processing is almost always neglected.Similar to spindle rotation resulting in the relative movement between cutter and workpiece,cutter feed motion leads to relative movement also.This relative movement between the cutter and workpiece could influence the directionand magnitude of the cutting forces.The premise that the influence of the feed can be neglected is based on the assumption that the relative displacement and velocity from spindle rotation are much larger than the feed.Thus,in most situations,the influence of feed is insignificant and can be ignored.However,when modelling some specific machining operations including axial feed,such as drilling,plunge milling and helical milling,to ignore the feed motion is unreasonable.If the axial feed effect is not considered,the cutting force along the axial direction might not be expressed accurately.For this reason,analysis of the influence of axial feed on cutting forces when modelling helical milling operations is necessary.In this paper,the feed motion effect on cutting forces has been analysed completely.Firstly,the movement of an arbitrary point P at the side cutting edge could be decomposed to cylinder helical move-ment (reference movement)and circular movement perpen-dicular to the cutter axis,as depicted in Fig.1.The reference movement can be decomposed to horizontal tangential feed and perpendicular axial feed,shown in Fig.2.The horizon-tal velocity of point P is defined as v P 0v PO +v O ,where v O is identical to f vt .For Ω>>Ωh ,means |v PO |>>|v O |,and therefore,v P ≈v PO .The influence of horizontal tangential feed on the side edge cutting force can beignored.Fig.2Kinematics of the side cuttingedgeFig.3Kinemics of the end cutting edgeSecondly,axial feed f vz may result in a portion of the axial cutting force being on the side edge.For every axial feed,the cutting volume of the side edge is proportional to f za a e h i ,but the cutting volume of the end edge is proportional to f za a e p ΦB ÀD m ðÞ=sin θ.That means that the side edge undergoes intermittent cutting while the end edge undergoes continuous cutting.In the same time period,the cutting force derived from axial feed on the side edge is much smaller than that on the end side.So,the influence of axial feed on the side edge cutting force can also be ignored.Then,assuming the top points on an end cutting edge in a straight line,the radial distance of point P to the cutting axis is variable.The influence of the horizontal feed f vt is more outstanding when P is near to the axis.The horizontal movement of point P at the end edge can be decomposed into the relative tangential part v t and relative radial part v r ,as described in pared to drilling or plunge milling operations in which tangential cutting forces are vanished andtangential velocity of the z -axis is zero,tangential forces and axis tangential velocity of the helical milling are not zero,as depicted in Fig.4.For the aforementioned reason,the influence of horizontal tangential feed on end edge cutting forces can be ignored.The existence of the relative radial part v r of the end edge implies that the radial force also exists.If we consider the end cutting edge of the flat-end milling cutter as approximately a straight line,the cutting edge along the radial direction slides rather than shears.F r *should be the friction force that is smaller than the shear force.Therefore,the radial force onthe end edge can be neglected,or F Ãa ¼0.Finally,due to the axial feed associated with f va ,the dis-placement direction of the end edge is not horizontal but having an angle θrelative to f va and f vz .After calculating this angle,the actual direction of the machined surface,the variation of the rake angle and the clearance angle can be defined.The cutting force on the end edge derived from axial feed can be defined within the plane to which the machined surface belongs.3.2Side cutting edgeBased on the kinematics of the helical milling process,two new features that may influence the cutting force and dynamics of the helical milling process have been considered.One was the periodic force variation created by the circular or tangential feed of the tool,and the other is the additional force component generated by the axial feed of the tools.The axial feed force mostly occurs at the end cutting edge of the milling tools.The interaction conditions between the tool and the workpiece are the combination of side edge cutting forces and end edge cutting forces.F !¼F !i þF!Ãð8ÞWhere,F !i is the side cutting edge component and F !Ãis end cutting edge component.Considering a point P on the (jth)Fig.4Horizontal feed influence to forces on end cuttingedgesFig.5Cutting forces on the side cutting edgecutting tooth,shown in Fig.5,the integration cutting force F !i(defined in the local coordinate system)along the in-cut por-tion of the flute j is similar to that presented in the referenced literature [4].F i x ;jϕj ðz ÞÀÁ¼f zt 4k b ÀK tc cos2ϕj ðz ÞþK rc 2ϕj ðz ÞÀsin2ϕj ðz ÞÀÁÂÃþ1k b K te sin ϕj ðz ÞÀK re cos ϕj ðz ÞÂÃ&'ϕj ;z z j ;1ðÞϕj ;z z j ;1ðÞð9ÞF iy ;j ϕj ðz ÞÀÁ¼Àf zt 4k b K tc 2ϕj ðz ÞÀsin2ϕj ðz ÞÀÁþK rc cos2ϕj ðz ÞÂÃþ1k b K te cos ϕj ðz ÞþK re sin ϕj ðz ÞÂÃ&'ϕj ;z z j ;1ðÞϕj ;z z j ;1ðÞð10ÞF iz ;jϕj ðz ÞÀÁ¼1k bK ac f zt cos ϕj ðz ÞþK ae ϕj ðz ÞÂÃϕj ;z z j ;1ðÞϕj ;z zj ;1ðÞð11Þwhere k b ¼2tan b D m=The detail of the integration of these forces is complicated because the contours of the side edge of the generic milling cutter are helical circles.To get the details of the forces at an arbitrary time,the integration procedure at one period (e.g.from zero to 2π)of the forces on the discrete cutter has to beFig.6Different intervals of a cutting period.a a p >Φex ÀΦst ðÞ=k b ,b a p <Φex ÀΦst ðÞ=k bFig.7Cutting forces on theend cutting edgedivided into several time intervals,as shown in Fig.6.The oblique lines represent the unfolding of the milling tool flutes in a plane.If a p >Φex ÀΦst ðÞ=k b is as shown in Fig.6a ,axial cutting depth is large.Φst and Φex is the cut-in and cut-out relative rotational angle of the cutter,respectively.0.0050.010.0150.020.0250.030.035−1,500−7500750bTime (sec)F o r c e (N )0.0050.010.0150.020.0250.030.035−1,500−75007501500Time (sec)F o r c e (N )Cutting force of Side edge No. 20.0050.010.0150.020.0250.030.035−1,500−75007501,500Time (sec)F o r c e (N )Result Cutting force of Side edges−4000−2000020004000Time (sec)F o r c e (N )Cutting force of End edge No. 1−4000−2000020004000Time (sec)F o r c e (N )Cutting force of End edge No. 20.0050.010.0150.020.0250.030.035−20000200040006000Time (sec)F o r c e (N )Result Cutting force of End edgesFig.8Simulation of the cutting forces during helical milling (milling tool diameter D m 16mm,five flutes,cutting speed v c 100m/min,axial feed rate per tooth f za 0.2mm,tangential feed rate per tooth f zt 0.5mm,radial cutting depth a e 8mm,up milling)In intervals 1and 5,there are no interactions between the cutter and workpiece,and therefore,the cuttingforce 0 ϕj <Φst ;F !j ¼0;Φq ϕj <2p ;F !j ¼0During interval 2,the cutting tooth begins to cut into the workpiece,where Φst ϕj <Φex ;ϕj z 1ðÞ¼ϕj ;ϕj z 2ðÞ¼ΦstDuring interval 3,the cutting tooth is fully involved in cutting the workpiece until the maximum axial cutting depth a p ,where Φex ϕj <Φp ;ϕj z 1ðÞ¼Φex ;ϕj z 2ðÞ¼Φst is obtained.During interval 4,the cutting tooth completes the cutting and quits the interaction finally,where Φp ϕj <Φq ;ϕj z 1ðÞ¼Φex ;ϕj z 2ðÞ¼ϕj ÀΦp ÀΦst ðÞIf a p <Φex ÀΦst ðÞ=k b as shown in Fig.6b ,axial cutting depth is large.In interval 1and 5,there is no interaction between the cutter and workpiece,and therefore no cutting force.0 ϕj <Φst ;F !j ¼0;Φq ϕj <2p ;F !j ¼0During interval 2,the cutting tooth begins to cut into the workpiece and progress towards the maximum axial cutting depth a p ,where Φst ϕj <Φp ;ϕj z 1ðÞ¼ϕj ;ϕj z 2ðÞ¼ΦstDuring interval 3,the cutting tooth interacts with the workpiece with a p ,where Φp ϕj <Φex ;ϕj z 1ðÞ¼ϕj ;ϕj z 2ðÞ¼ϕj ÀΦp ÀΦst ðÞDuring interval 4,the cutting tooth completes the cutting operation and quits the interaction finally,where Φex ϕj <Φq ;ϕj z 1ðÞ¼Φex ;ϕj z 2ðÞ¼ϕj ÀΦp ÀΦst ðÞ3.3End cutting edgeSince both the tangential feed f vt and axial feed f va are present during helical milling,the end cutting edge force component and the edge of these teeth are assumed to be a straight line and coincide with the radial line during analysis.If the friction force is neglected along the endcutting edge,the radial force F Ãa ¼0.As shown in Fig.7,the end cutting edge force component can be represented asd F Ãv¼K Ãvc f za cos θd r þK Ãve d r ð12Þd F Ãn ¼K Ãnc f za cos θd r þK Ãne d rð13Þd F Ãt ¼d F Ãv cos θÀd F Ãn sin θð14Þd F Ãa¼d F Ãv sin θþd F Ãn cos θð15Þd T ür d F Ãt ð16Þ00.0050.010.0150.020.0250.030.035−5000Time (sec)F o r c e (N )00.0050.010.0150.020.0250.030.035−50005000Time (sec)F o r c e (N )Cutting force of cutting edge No. 20.0050.010.0150.020.0250.030.035−20000200040006000Time (sec)F o r c e (N )Result Cutting force of milling toolFig.8(continued)Denote A ¼N m f za 2p ,B ¼N m f zt cos ϕj 2p ,θ¼argtan v av t¼argtan A r þB ,Θ½ ¼R D m 2D m 2Àa eÃd r cos θÀsin θ0sin θcos θ0000r cos θÀr sin θ026643775;K ý ¼K Ãvc K Ãve K ÃncK Ãne K ÃrcK Ãre2435,therefore,F Ãt ;j F Ãa ;jF Ãr ;j T Ãj8>><>>:9>>=>>;¼Θ½ K ý f za 1&'ð17ÞTransform to the local coordinate,F Ãx ;j F Ãy ;j F Ãz ;j T Ãj 8>><>>:9>>=>>;¼ÀF Ãt ;j cos ϕj ðt ÞÀÁF Ãt ;j sin ϕj ðt ÞÀÁF Ãa ;j T Ãj8>><>>:9>>=>>;ð18ÞSum up side cutting edge forces and end cutting forces onthe j th tooth and convert to global coordinates.F x ;j F Y ;j F Z ;j T Z ;j 8>><>>:9>>=>>;¼cos Ωh t sin Ωh t00Àsin Ωh tcos Ωh t 0000100126643775F i x ;j þF Ãx ;j F i y ;j þF Ãy ;j F i z ;j þF Ãz ;j T Ãj8>><>>:9>>=>>;ð19ÞThen,sum up all the cutting forces on the cutting teeth toobtain the cutting force model.246810−400400Time (sec)F o r c e (N )Experimental Cutting Force of X directionab246810−400400Time (sec)F o r c e (N )Experimental Cutting Force of Y direction0200400Time (sec)F o r c e (N )Experimental Cutting Force of Z direction−4000400Time (sec)F o r c e (N )Simulate Cutting Force of X direction246810−4000400Time (sec)F o r c e (N )Simulate Cutting Force of Y direction0200400Time (sec)F o r c e (N )Simulate Cutting Force of Z directionFig.9Cutting force result from experiment and simulation during helical milling cutting (milling tool M.A.Ford 20-mm five-flute end mill 17878703A,cutting speed v c 100m/min,axial feed rate per toothf za 0.005mm,tangential feed rate per tooth f zt 0.1mm,radial cutting depth a e 1mm,down milling)12345678x 10−3−300−200−100100200300400Time (sec)F o r c e (N )Experimental cutting force of single tooth periodcd12345678x 10−3−300−200−100100200300400Time (sec)F o r c e (N )Simulation cutting force of single tooth periodFig.9(continued)F X F Y F Z T Z8>><>>:9>>=>>;¼X N m j ¼1F X ;j Ωt þj À1ðÞ2pN ÀÁF Y ;j Ωt þj À1ðÞ2p N ÀÁF Z ;j Ωt þj À1ðÞ2pN ÀÁT Z ;j Ωt þj À1ðÞ2p NÀÁ8>><>>:9>>=>>;ð20ÞThe cutting force model during helical milling operationsin the time domain has therefore been established analyti-cally.This model defines both the cutting force on the side cutting edge and on the end cutting edge,incorporating the interactions between the cutter and the workpiece on the effect of the spindle rotation and the helical feed.4Simulations and experimental resultsCutting forces during helical milling have been simulated on the MATLAB platform using the models presented previ-ously,and experiments have been performed to compare with the model predictions.The process parameters includ-ed the workpiece material,cutting conditions,tool material and geometry.The Ti6Al4V alloy was cast and then HIPed (hot isostatic pressing,HIP)at a pressure of 100–140MPa at 920°C for 2.5h;then,the casting was rough milled to the end geometry (160×160×20mm)with a hole in a diameter of 60mm in the centre of the plate as shown in Fig.1.There were two types of cutting tools,the M.A.Ford 20-mm five-flute carbide end mill (17878703A)and the M.A.Ford 16-mm five-flute carbide end mill (17862903A).Experiments were carried out on a five-axis high-speed Mikron UCP-710CNC machining centre.A three-axis piezo-electric Kistler 9265B type dynamometer was set up on the fixture with the workpiece.The accessory data ac-quisition system of the dynamometer consisted of a Kistler 5019A type multi-channel charge amplifier and signal pro-cessing software DynoWare.Before commencing the experiments,the dynamometer was calibrated using static loads.The simulated cutting forces in an entire milling tool revolution on the side edges,end edges and whole cutter during the typical cutting conditions are depicted in Fig.8.In this simulation,the up milling and large radial cutting depth are considered as the significant characteristics of the operation.Figure 8a shows the simulated cutting forces that acted on first side cutting edge,second side cutting edge and cutting forces that acted on the milling tool from both the five cutting edges,respectively.For the up milling condi-tion,the j th edge engages with the workpiece,and the (j -1)th edge engages following.The large radial cutting depth means that before the previous cutting edge has completed cutting,the next cutting edge has engaged the workpiece.Therefore,there is a period of time that forces overlap between the consecutive cutting edges.Figure 8b shows thesimulated cutting forces that acted on the end cutting edges.There are similar cutting forces superposing between consec-utive side cutting edges.However,the sum of the X ,Y direc-tion forces are nearly zero,that is one of the important features of helical milling and plunge milling operations.Figure 8c shows the cutting forces that acted on the milling tool.These results are the integration of the component forces from Fig.8a and b .The simulated and experimental cutting force results are compared in Fig.9.In this case,cutting tools travel along an entire helical curve and machine an entire helical milling period.The X ,Y ,Z coordinates are fixed to the workpiece,during the helical feed motion of the tool,the amplitude of F X and F Y change with time following a sine relationship.The amplitude of Fig.9a and b counter profile is the maximum result of F X and F Y .Figure 9c and d shows the experimental and simulated cutting forces in detail in a single tooth period.The comparison result from experiment and simulation are shown in Table 1.This figure depicts the simulation results to an accuracy of about 10%in these selected indicators.The maximum value of F X ,F Y and F Z indicates for a single tooth period for both simulation and experimental results shown.The maximum of ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiF 2X þF 2Yp indicates the amplitude of force of F X and F Y during helical milling.The errors probably result from cutting tool deflection and cutting tool wear.5ConclusionIn this paper,cutting forces during helical milling operations have been modelled in the time domain.The cutting forces both on the side cutting edges and on the end cutting edges along the helical feed path have been modelled by considering the tangential and the axial motion of the tool.The cutting force model can be used to predict cutting forces both on the side cutting edges and the end cutting edges.The model can also predict forces on the whole helix milling tool considering the process parameters and tool geometry.The experimental results show that for the given helix milling operation param-eters,the result of simulation predicts the cutting forces effec-tively and accurately.Table 1Comparison of experiment and simulation resultsExperiment (average)SimulationErrorHelical feed period (s)9.509.4750.263%Maximum of F X (N)371.1341.2−8.06%Maximum of F Y (N)253.2283.211.8%Maximum of F Z (N)287.7269.4−6.36%Maximum of ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiF 2X þF 2Yp (N)365.3397.68.84%。
Java开源测试工具汇总
Java开源测试工具汇总JUnitJUnit是由Erich Gamma 和Kent Beck 编写的一个回归测试框架（regression testing framework）。
Ju nit测试是程序员测试，即所谓白盒测试，因为程序员知道被测试的软件如何（How）完成功能和完成什么样（What）的功能。
Junit是一套框架，继承TestCase类，就可以用Junit进行自动测试了。
/CactusCactus是一个基于JUnit框架的简单测试框架，用来单元测试服务端Java代码。
Cactus框架的主要目标是能够单元测试服务端的使用Servlet对象的Java方法如HttpServletRequest,HttpServletResponse,HttpSess ion等/cactus/AbbotAbbot是一个用来测试Java GUIs的框架。
用简单的基于XML的脚本或者Java代码，你就可以开始一个GUI。
/JUnitPerfJunitperf实际是junit的一个decorator，通过编写用于junitperf的单元测试，我们也可使测试过程自动化。
/software/JUnitPerf.htmlDbUnitDbUnit是为数据库驱动的项目提供的一个对JUnit 的扩展，除了提供一些常用功能，它可以将你的数据库置于一个测试轮回之间的状态。
/MockrunnerMockrunner用在J2EE环境中进行应用程序的单元测试。
它不仅支持Struts actions, servlets，过滤器和标签类还包括一个JDBC和一个JMS测试框架，可以用于测试基于EJB的应用程序。
/index.htmlDBMonsterDBMonster是一个用生成随机数据来测试SQL数据库的压力测试工具。
http://dbmonster.kernelpanic.pl/MockEJBMockEJB是一个不需要EJB容器就能运行EJB并进行测试的轻量级框架。
UniSim Design Process Modelling Software说明书
Connected PlantUniSim ®Design SuiteProduct Information NoteProcess modelling software for process design, simulation, safety studies, operations monitoring and debottlenecking, process optimization and business planning.WHY DO CUSTOMERS CHOOSE OUR SOLUTION?The Challenge: Optimum Process DesignsEngineers in the oil and gas, refining, petrochemical and chemical industries must optimize their work to ensure safe and cost-effective process designs. Optimum designs must be accurately identified, to ensure companies comply with regulations and at the same time maximize their business performance. Process engineers are challenged with making timely business decisions while meeting the business objectives of designing and operating efficient, safe and profitable plants. The Opportunity: Linking Business Objectives to Process DesignUniSim Design process modeling is a powerful technology that enablesdecision makers and engineers to link critical business objectives to process design, by: ∙ Utilizing the same technology and process model throughout a project or plant asset lifecycle by different functions and for multiple purposes. ∙ Ensuring process equipment is properly specified to deliver desired product throughput and specifications.∙Performing ‘what -if’ scenarios and sensitivity analyses to identify the optimal design based on operating and business targets. ∙ Evaluating the effect of feed changes, upsets and equipment downtime on process safety, reliability and profitability.∙ Improving plant control, operability and safety using dynamic simulation. ∙Monitoring equipment/plant asset performance against expectations. De-bottlenecking Operations with UniSim ® Design. As a true life-cycle simulation application, UniSim ®Design Suite allows process models to be built,updated and used for multiple applications throughout a project or plant asset lifecycle. The same processmodel that is built for a feasibility study, can be re-used and updated for: ∙ Front-end engineering design ∙ Detailed engineering design ∙ Engineering studies ∙Process de-bottlenecking∙ Control and safety system check-out∙Advanced applications such as: Operator Training Simulator, Advanced Process Control, Asset Management and Operations Analysis and Business Support.Best-in-Class SupportOur after-market services engineers, averaging 8 years of UniSim Support experience are: ∙ Responsive ∙ Knowledgeable ∙ Reliable∙ With a solid processengineering background.Robust TechnologyUniSim Design Suite technology is: ∙ Robust ∙ Scalable ∙ Stable ∙ Accurate ∙ Fast∙ A Life-Cycle simulation platform. InnovationLeveraging in-house process, control and software development expertise, we bring to market features: ∙ Developed with users ∙ For the users∙ Adopting best practices & workflowsrecommended by the users.Joint-Development We actively engage in joint programs with customers to: ∙ Address specific customer needs ∙ Accelerate development ∙ Pilot new technologies.Commercially flexible Flexible licensing model aligned with customer expectations in terms of: ∙ Product Options ∙ Access Type ∙ Contract length.T he Solution: UniSim ® Design Suite UniSim Design Suite provides an accurate and intuitive process modeling solution that enables engineers to create steady-state and dynamic models for plant and control design, safetystudies, performance monitoring, troubleshooting, operational improvement, business planning and asset management.UniSim Design Suite helps process industries improve productivity and profitability throughout the plant lifecycle. The powerful simulation and analysis tools, real-time applications and the integrated approach to engineering solutions provided by UniSim Design Suite enables companies to improve designs, optimizeproduction and enhance decision-making. These models may be leveraged into advanced training and optimization solutions provided by theUniSim® Operations and UniSim® Optimizationsuites.PFD (Process Flowsheet Diagram) Modeling Environment.The BenefitsImproved Process DesignsEngineers can rapidly evaluate the most profitable, reliable and safest design. It is estimated that on-site design changes made during commissioning constitute 7 percent of the capital cost of a project. UniSim Design enables engineers to evaluate the impact of their design decisions earlier in theproject. For new designs, UniSim Design enables users to create models quickly to evaluate many scenarios. The interactive environment allows for easy ‘what -if’ studies and sensitivity analysis. The top candidates can be used to create high fidelity models, in which additional equipment and process details ae included.Equipment/Asset Performance MonitoringTo ensure optimal equipment/asset performance,UniSim Design allows users to rapidly determine whether equipment/asset is performing below specification. For example, engineerstroubleshooting or improving plant operations use UniSim Design to assess equipment deficiencies such as heat exchanger fouling, column flooding, and compressor and separation efficiencies. Engineers engaged in retrofit work can quickly evaluate equipment employed in different services or evaluate the consequences of a design basis change.Reduced Engineering CostsSimulating with UniSim Design reducesengineering costs by creating models that can be leveraged throughout the plant lifecycle, from conceptual design to detailed design, rating, training and optimization; providing a work environment that ensures work is completed quickly, effectively and consistently. This avoids the time-consuming and error-prone manual process of transferring, formatting and analyzing production and process data that can account for up to 30 percent of engineering time.FeaturesIn order to operate with maximum effectiveness and provide the necessary insights andknowledge, a process modeling tool must combine ease-of-use with robust engineering power.UniSim Design is built upon proven technologies with more than 30 years’ experience supplying process simulation tools to the oil and gas,refining, petrochemical and chemical industries. Features include:Easy-to-Use Windows EnvironmentPFDs provide a clear and concise graphicalrepresentation of the process flowsheets, including productivity features such as cut, copy, paste, auto connection and organizing large cases into sub-flowsheets.Comprehensive ThermodynamicsEnsure accurate calculation of physical properties, transport properties and phase behavior. UniSim Design contains an extensive componentdatabase and the ability to add user components or modify component properties. It also includes a pure compound database loader system which provides users with direct access to external compound property databases, such as DIPPRUniSim ® Design Suite has an integrated steady-state anddynamics environment and is a true life-cycle simulation platform.(Design Institute of Physical Properties), DDBST (Dortmund Data Bank), and GERG 2008.It offers tremendous flexibility for users to choose compound properties from their preferred sources to meet their needs. A PVT Regression Import Tool reads PVT export files into UniSim Design. In addition a crude manager feature, allows the import and use crude assay databases from excel into UniSim Design. Also, a link to the HaverlyH/CAMS crude manager allows the import of over 2000 crude assays, through the seamless interface between to two products. Finally, 3rd party thermodynamics can be used with UniSim Design through CAPE-OPEN 1.0 and 1.1.Comprehensive Unit Operation Library UniSim Design supports process modeling of separation, reaction, heat transfer, rotating equipment and logical operations in both steady-state and dynamic environments. These models are proven to deliver quality realistic results and handle various situations such as vessel emptying or overflowing and reverse flow.UniSim Design has extended the rotating equipment support to sub-sea unit operations, which include the Wet-Gas Compressor and the Multi-Phase Pump.Active X (OLE Automation) Compliance Permits the integration of user-created unit operations, proprietary reaction kinetic expressions and specialized property packages and interfaces easily; with programs such as Microsoft® Excel® and .NET®.Flexible License ManagerUniSim License Manager supports temporary license locking to laptop computers (commuting), token-based or hybrid (token-network) licensing models, and provides insightful administration tools for monitoring usage and managing access control.OptionsUniSim Design Suite provides maximum flexibility and power to users by using an open architecture which enables industry-specific capabilities to be easily added by Honeywell or third-party suppliers. The following options are available for UniSim Design to help ensure client needs are met and enhance the use of simulation throughout the plant lifecycle.UniSim Dynamic Option provides dynamic simulation capability fully integrated with the UniSim Design environment. A steady-state model can be converted into a dynamic model which offers rigorous and high-fidelity results with very fine level of equipment geometry and performance detail. Special features for dynamic modeling include pressure-flow dynamics, a rich set of control functionality to support process control and detailed process monitoring, cause and effect matrices, and an event scheduler.Crude Modeling in the UniSim Dynamic Option EnvironmentUniSim Flare is a steady state flare and relief network simulator used to design new flare and vent systems from relief valve to flare tip, or to rate existing systems to ensure that they can handle all possible emergency scenarios. UniSim Flare can also be used to debottleneck an existing flare system that no longer meets the need for safe operation in a plant.UniSim Blowdown Customize is a dynamic simulation utility for blowdown studies. It allows for flowsheeting and event scheduling; it has a very detailed heat loss models for vessels and vessel heads and it implements the API 521 6th edition fire method.UniSim PRS is new a standalone tool for sizing and rating PSVs and BDs and surrounding pipes. Originally a UOP internal tool, it is now commercialized and made available to UniSimUniSim® Design Suite supports open architecture through Active X, CAPE-OPEN and OPC compliance.customers. The UniSim PRS interfaces with UniSim Flare for easier data transfer between the two products.UniSim Spiral Wound Tube Bundle Option for accurate dynamic modeling of complex spiral wound tube bundle exchangers commonly found in LNG production.UniSim Design Gasifier Option unlocks the gasifier operation block inside UniSim Design allowing the user to model these complex units in both steady state and dynamic modes.UniSim Heat Exchangers is a suite of products that allow thermal specialists to design, check, simulate, and rate heat exchange equipment rigorously. Used on their own, they enable the determination of the optimum heat exchanger configuration that satisfies all process constraints. Integrated with UniSim Design, opportunities for capital savings in the overall process design may be identified. These products are the result of over 35 years of industry collaboration and research. The heat exchanger products offered in this suite include:∙Shell-Tube Exchanger Modeler∙Crossflow Exchanger Modeler∙Plate-Fin Exchanger Modeler∙Fired Process Heater Modeler∙Plate Exchanger Modeler∙FeedWater Heater Modeler∙Process Pipeline ModelerUniSim ExchangerNet is an advanced tool for the design and optimization of heat exchanger networks. Utilizing advanced optimization technologies, ExchangerNet allows customers to perform pinch analyses as part of capital expenditure projects and ongoing operational optimization work. This leads to optimal process economics between capital and operating costs. UniSim ThermoWorkbench provides userswith the ability to create and analyzethermodynamic packages by regressingparameters against laboratory data and foranalyzing the resulting predicted phase equilibriabehavior. These packages may then be used inUniSim Design or other application using UniSimThermo. UniSim ThermoWorkbench also allowsusers to perform azeotropic calculations formultiple compound systems, and to view resultsusing a number of different graphical tools such asTxy and ternary phase equilibria diagrams.UniSim 3rd Party Options are specialisttechnologies which complement the UniSimDesign Suite through product integration.Honeywell is a reseller for the followingtechnologies:∙HTRI’s XchangerSuite and XSimOp∙OLI’s Electrolytes and Corrosion Monitor∙Schlumberger’s AMSIM, BlackOil, Pipesys, andOLGAS∙AIChE’s DIPPR 801 (2015).In addition, UniSim Design links to a number ofother technologies, such as:∙Schlumbe rger’s OLGA and PIPESIM∙Petroleum Experts’ IPM Suite∙CALSEP’s PVTSim Nova∙Cost Engineering’s Cleopatra Enterprise∙Haverly’s H/CAMS∙KBC’s Multiflash∙MySep’s MySep∙MSE’s Pro-M∙Siemens’ COMOS∙Bentley’s Axsys∙DDBST’s DDBSP∙MS Excel∙Mathwork’s Matlab/Si mulink.UniSim® Design Suiteprovides the besttechnical solution in themarket for processdesign customers,through own-developedproducts or partnershipswith specialist 3rdparties.UniSim® Design Suite R451 System RequirementsPROCESSOR SPEED Minimum: Pentium III 700 MHz Recommended: Pentium IV 2.4 GHz or betterRAM REQUIREMENTS Minimum: 768 MB RAM, 1 GB total memory (RAM + virtual memory) Recommended: 2 GB RAM, 4GB total memory (RAM + virtual memory)DISK SPACE Minimum: 500 MB of free disk spaceDISPLAY Minimum screen resolution: 1024 x 768 Recommended monitor size: 19 inch diagonal measure.DESKTOP CLIENT OPERATING SYSTEM Microsoft Windows 7, 8.x (Home, Business, Ultimate or Enterprise - 32 and 64 bit) Microsoft Windows 10 (32 and 64 bit)SERVER OPERATING SYSTEM Microsoft Windows Server 2008 Microsoft Windows Server 2012DESKTOP WEB BROWSER Microsoft Internet Explorer version 8 Microsoft Internet Explorer version 10MICROSOFT OFFICE COMPATIBILITY Microsoft Office 2013 Microsoft Office 2016 Microsoft Office 365VIRTUALISATION COMPATIBILITY VMWare EXSiFor More InformationLearn more about how Honeywell’s UniSim Design Suite can improve process design, visitwww.hwll.co/uniSimDesign or contact your Honeywell Account Manager or authorized distributor.Honeywell Process Solutions1250 West Sam Houston Parkway South Houston, TX 77042Honeywell House, Arlington Business Park Bracknell, Berkshire, England RG12 1EB UK Shanghai City Centre, 100 Zunyi Road Shanghai, China 200051 PIN-17-01-ENGJanuary 2017© 2017 HoneywellInternational Inc.UniSim Design Suite Support ServicesThis product comes with worldwide, premiumsupport services through our BenefitsGuardianship Program (BGP). BGP is designed tohelp our customers improve and extend the usageof their applications and the benefits they deliver,ultimately maintaining and safeguarding theiradvanced applications.Honeywell provides a complete portfolio of serviceofferings to extend the life of your plant andprovide a cost-effective path forward to the latestapplication technology. Honeywell servicesinclude:∙Standard and Customized Training∙Consulting∙Model Building∙Engineering Studies∙Custom Thermo/Unit OperationsUniSim® Design SuiteHoneywell’s UniSim Design Suite, is part of the UniSim software family ofonline and off-line process design and optimization applications. Givingusers the power to determine process workflows, equipment sizing andrating requirements, UniSim solutions help you capture and share processknowledge, improve plant profitability and maximize returns on investmentsin simulation technology.UniSim Design Suite offers:∙An integrated steady-state and dynamics environment to easily re-use, update and transition the process models throughout a projector plant asset lifecycle.∙ A user-friendly interface which helps engineers to easily accessand visualize the process information and identify trends.∙Built-in industry standards that minimize the need for literaturesearch when sizing and rating equipment.∙Integration with 3rd party specialty technologies which allow for thebest technical solution for process simulation.∙Interfacing capabilities with process historians, DCS & safetysystems, and other advanced applications that maximize thebenefits for green-field, brown-field and revamp projects.Honeywell® and UniSim® are registered trademarks ofHoneywell International Inc.Other brand or product names are trademarks of theirrespective owners.。
免费的数据库建模工具
免费的数据库建模工具对于数据模型的建模，最有名的要数ERWin和PowerDesigner，基本上，PowerDesigner 是在中国软件公司中他是非常有名的，其易用性、功能、对流行技术框架的支持、以及它的模型库的管理理念，都深受设计师们喜欢。
PowerDesigner是我一直以来非常喜欢的一个设计工具，对于它，我可以用两个字来形容，那就是我能驾驭这个工具！现在所在的公司自上市以来，对软件版权问题看得非常重，公司从上市以后，对软件的版权做了一些相应的规定，不允许使用破解的软件，软件只能使用开源的、免费的、或者共享的软件！所用软件必须公司注册的！没办法，我也只能放弃我多年的喜好，转向开源、免费的领域！数据库物理建模是在软件设计当中必不可少的环节，数据库建得怎么样，关系到以后整个系统的扩展、性能方面的优化以及后期的维护。
使用一个数据建模工具是非常必须的。
那在开源或免费的领域，有没有比较好的工具呢？其实是有很多的，只是开源这一块，功能上、易用性上没有商业软件那么好用！现在介绍几个相对比较好用的工具：第一个：ERDesigner NG官方网址是：/?Welcome:ERDesigner_NG属于sourceforge的一个开源产品，目前版本为1.4以下是官方所描述的：程序代码The Mogwai ERDesigner is a entity relation modeling tool such as ERWin and co. The only difference is that it is Open Source and does not cost anything. It was designed to make database modeling as easy as it can be and to support the developer in the whole development process, from database design to schema and code generation. This tool was also designed to support a flexible plug in architecture, to extend the system simply by installing a new plug in. This way, everybody can implement new featur es and tools to make ERDesigner fit the requirements.ERDesigner NG* is based on Java and can be run on Windows and Unix systems* has a powerfull WYSIWYG for physical database design* handles tables, relations, indexes and comments* supports subject areas* supports MySQL, oracle, Microsoft SQLServer and Postgres* creates the SQL DDL statements for schema creation* has an integrated schema version control system* can generate schema migration scripts for every change* stores the database definition as XML files for further processing* can export the database schema as GIF, BMP, JPEG or SVG files* has an integrated reverse engineering module for existing schemas* it is based on GPL license* support is available by authors and newsgroups从上述的描述我们可以看得出，软件支持多种主流的数据库，比如mysql、oracle、MSSQLSERVER等。
赣州三中高一入学考试英语答案
2022-2023学年第一学期高一英语开学考试答案一、听力1-5 CBABC 6-10 BCBAC 11-15 BABAC 16-20 AABCA二、语音21. idea22. honor/honour 23. cloudy24. courage 25. worth26. royal27. usually28. drive29. open30. careless 31. believe32. method 33. practice34. skate 35. breathe37. march/March38. beginning 39. interesting40. confidence三、阅读理解阅读A：BDB阅读B：DBAD阅读C：ACAC阅读D：CAAD七选五：DECBG四、完形61-65 CBDAD66-70 BCACA70-75 ACBDB五、书面表达New school—New StartHow time flies! Now I am a senior high school student. Words fail to express my excitement at being able to study in such a beautiful high school. To make the most of this precious opportunity, I am determined to do the following things.First, it’s important to form good learning habits, which include listening to the teachers carefully in class, finishing my homework as required, going over what I’ve learned in time and so on. Second, I will take an active part in some extra-curricular activities such as sports meeting, all kinds of competitions and some volunteer activities. Besides, doing sports regularly is also necessary, which helps build up my body.In a word, I will spare no effort to make my high school life meaningful as well as colorful.答案详解：A篇【答案】41．B 42．D 43．B【分析】解析：本文介绍的是去北京值得游玩的地方，主要给出了少年宫科学活动的时间表。
Google Cloud 托管数据库迁移指南说明书
Accelerate your move to the cloud with managed databasesTable of contentsMigration trends across the industry5 reasons why Google Cloud is right for your database migrationsDeep dive into customer use cases Getting started 01 02 03 04Migration trends across the industryMonitoringThis requires a lot of work and a diverse skill set. As your database fleet grows to hundreds or eventhousands of databases, the time and energy that you spend managing all this only hinders your ability to outmaneuver your competitors.Managed servicesmake sense for databasesPower, HVAC, network High availabilityScalingDatabase installs OS installation OS patches Database backupsSoftware patches Server maintenance/upgradesRack & stack Managing your database infrastructure can be a chore. You need to consider:●The work required to provision, set up and maintain your hardware●The operating system, database software,management tools, and all the ongoing patches for security and maintenance●Scaling the system, ensuring that backups and restores are meeting recovery goals and that the application can continue to run during various failure scenarios ●Monitoring everything to ensure that your systems are running the way your business needs them toIt’s no surprise that databases are rapidly moving to the cloud.The Cloud Database Management Systems (DBMS) market is not new, but the growth in cloud revenue is a newer development.IDC predicts 80% of enterprises will speed up their shift to a cloud-centric infrastructure. This trend suggests that cloud service provider (CSP)infrastructures and the services that run on them are becoming the new data management platform .Databases are moving tothe cloud, fastMany companies have turned to managed services in the cloud for their databases. Managed database services allow teams to focus on developing their applications instead of managing infrastructure.Let’s explore why Google Cloud offers the best platform to migrate your databases.80%moving quicker to cloud-centric infrastructure5 reasons why Google Cloud is rightfor your databasesDatabase capabilities that are simply unmatched for speed, scale, security, and reliabilityGoogle Cloud provides a ground-breaking platform for innovation based ondecades of first-hand experience developing one-of-a-kind database systems.You can achieve massive scalability and data durability for your applications fromthe same underlying architecture that powers Google’s most popular, globallyavailable products like YouTube, Search, Maps, and Gmail.Our core services Cloud Spanner, BigQuery, Firestore, Cloud SQL, AlloyDB for PostgreSQL, and Cloud Storage, for example, leverage common infrastructuresuch as our highly durable distributed file system, disaggregated compute andstorage at every layer of the stack, and our high-performance networkinginfrastructure, to get the highest levels of availability and reliability i.e. up to99.999% SLA across Spanner, Bigtable, and Firestore, and billions of transactionsper second across Spanner (2B+ at peak) and Bigtable (5B+ at peak).Many organizations have adopted our leading cloud-first solutions: Spanner,Bigtable, and Firestore to deliver the best possible experiences for their usersfrom anywhere, in just a few clicks, and with minimal operational overhead.Cloud Spanner Processes over 2 billion requests per second at peakBigtableProcesses over5 billion requests persecond at peakFirestoreHas more than 250Kmonthly activedevelopers99.999%SLABigQueryCustomers analyze110 terabytes of dataevery second99.99%SLAOpen and standards-based, providing you the freedom to work the way you wantAt Google Cloud, we understand that most companies have a multi-database strategy. In some cases this is intentional and in others it’s a natural consequence of growing over the years combined with the intimidating nature of replatforming a database.Google Cloud databases support the most popular open source and commercial engines - MySQL, PostgreSQL, Oracle, SQL Server and Redis - providing choice and flexibility to work the way you want.Cloud SQL is a fully managed relational database service for MySQL, PostgreSQL, and SQL Server. Memorystore is a fully managed database service that is 100% compatible with open source Redis and Memcached. AlloyDB for PostgreSQL is a new PostgreSQL-compatible relational database with superior performance, scale and availability for your most demanding enterprise workloads.Database Google Cloud Service Oracle →Bare Metal Solution SQL Server Cloud SQL for SQL Server PostgreSQL Cloud SQL for PostgreSQL AlloyDB for PostgreSQL MySQL Cloud SQL for MySQL Redis → Memorystore for Redis | Redis LabsMemcached → Memorystore for Memcached HBase → Bigtable MongoDB→MongoDB AtlasAll these options provide flexibility for quickly and safelymigrating to the cloud and a seamless user experience across management, billing, and support.Relational databasesNon-relational databasesDatabase Migration Service can migrate these workloadsDevelop rich applications quickly through our intuitive user interface, robust client and server-side libraries, and one-of-a-kind provisioning and managementautomation services. Experience seamless integrations with Google Cloud services like Google Compute Engine and Google Kubernetes Engine (GKE), with more than 650K GKE pods securely connected to Cloud SQL.Drive productivity by automating time-consuming tasks such as database provisioning, storage capacity management, and performance tuning. This frees developers and DBAs to focus on higher-value work like data modelling, performance optimization and deriving value from their data.Innovative, one-of-a-kind developer experiencesIndustry-leading database observability features, such as Cloud SQL Insights and Key Visualizer , help developers address database performance problems in development and in production. These features complement existing application performance monitoring (APM) and observability tools by providing database metrics and traces through the OpenTelemetry open standard.The unified ecosystem of Google’s data cloudGoogle Cloud offers a comprehensive data cloud that allows you to securely unify data across your entire organization so you can break down silos, increase agility, innovate faster, and support business transformation.Bridge the gap between operational data andanalytics by using BigQuery federation to query data residing in Cloud SQL, Spanner and Bigtable without moving or copying it. We’re also enabling BigQuery customers to directly access Spanner data through a serverless architecture for workload isolatedanalytical queries. You can now run analytical queries on your operational data in Spanner with virtually no impact on the performance of your low latency, transactional systems.Datastream for BigQuery supports seamlessreplication from operational database sources such as AlloyDB, PostgreSQL, MySQL, and Oracle, directly into BigQuery.We connect the different stakeholders that work with data and provide a common platform for them to build upon. No matter where you start, there are always more places to go with analytics, databases, and AI and machine learning services.Data Fabric: catalog, workflow orchestration, security controls DataplexBI and data-driven experiences LookerAI modelsand automation Vertex AIOperational databases SpannerAnalytics platform BigQueryDatastreamDataflowFederated queriesReason 05Sophisticated data security and privacy controlsSecurity and governance are key concerns forevery industry, which is why we provide robusttools and technology to protect and govern yourdata throughout its lifecycle.Built-in data protectionat scale, by defaultAll data is automatically encrypted in transit and at rest Customer managed encryption keys (CMEK)Multi-layered security approachSupport forcompliancerequirementsThird-party auditsand certificationsEasy visibility intosecurity policiesTrust throughtransparencyAccessTransparency tool forvisibility into ouractionsGoogle Trust Principlesfor deploymentintegrity, privileges,access, andcomplianceTools andtechnology toefficientlygovern dataIntegration withCloud IAM for accesscontrol and visibilityinto security policiesWith Cloud SQL forSQL Server, we'veenabled cross-projectintegration toauthenticate viaManaged MicrosoftActive DirectorySuch capabilities ensure that your data isprotected. Find out more about leveraging thebest of Google Cloud security on our Trust andSecurity site.Deep dive into customer use casesResults●Ability to scale with the business without having to significantly increase operational headcount.●Increase in internal engineering support for the DBaaS platform, with an increase of 28.52% for NPS and 41.22% for our tooling (offering) NPS.ChallengeWith 18 fulfillment centers, 38 delivery centers, and a catalog of more than 22 million items, online retailer Wayfair needed a way to quickly move from their on-premises data centers, running on SQL Server, to Google Cloud. This had to be achieved withoutinconveniencing their team of over 3,000 engineers, their tens of millions of customers, or their 16,000 supplier partners.SolutionWayfair chose Google Cloud database services’ Cloud SQL for PostgreSQL, Cloud Spanner and Cloud Bigtable to help shift their workloads to the cloud. Now that migration is complete, they’re also usingGoogle Kubernetes Engine (GKE) and Compute Engine VMs to host the services built by our team. They also use Pub/Sub and Dataflow for sending operational data to their analytical store in BigQuery.WayfairNow we’re able to spend more time working with users and less time on infrastructuremanagement. Working with Google Cloud as a cloud provider reduces our time to market to support new use cases, reduces our operational overhead, increases developer velocity, and enables us to scale at the speed of our business.Phil PortnoyAssociate Director of EngineeringBloghttps:///blog/products/databases /wayfair-migrates-to-cloud-sql-and-cloud-spanne rResults●The entire migration project was completed in two years.●Reduced database maintenance and operation activity, resulting in faster and more stable applications.●The migration has also resulted in lower cost because Renault group is not overprovisioned.ChallengeAs part of a company-wide strategic plan, Renault has shifted their focus over the past year from a car company integrating tech, to a tech companyintegrating cars that will develop software for their business. For the information systems group, thatmeant modernizing their entire portfolio and migrating 70 in-house applications in 2 years from Oracle to Cloud SQL for PostgreSQL.SolutionThe Renault Group uses BigQuery and Dataflow to improve scaling and costs, but they’re also now using fully managed database services like Cloud SQL for PostgreSQL.Cloud SQL has made it much easier for the company to change their infrastructure as needed, add more power when necessary or even reduce theirinfrastructure size. Now that they’re running on Cloud SQL, they’ve improved performance even on large databases with many connected users.Renault GroupSo as part of our migration to Google Cloud, weoptimized our applications with monitoring services. With these insights ourteam has more control over resources, which hasreduced our maintenance and operations activity and resulted in faster, more stable applications. Plus, migrating to Cloud SQL has made it much easier for us to change ourinfrastructure as needed, add more power when necessary or even reduce our infrastructure size.Cyril Picchiottino, Quality & Customer Satisfaction IS VPBloghttps:///blog/products/databases /renault-drives-fully-loaded-database-migration-t o-google-cloudResults●65% of Oracle footprint migrated to Cloud SQL.●Release cadence improved by over 140% year-over-year.●Peak of 458 releases to production in a single day.●36,000 releases in a year with an improved success rate of 99.87%.ChallengeAuto Trader had invested a lot in on-premisesinfrastructure and was starting to shift to the cloud, but needed to move faster. Several capabilities were becoming increasingly difficult to realize without a significant overhaul.SolutionCloud SQL was a natural fit for Auto Trader and now sits at the heart of its data storage strategy. Cloud SQL’s fully managed relational database services for MySQL, PostgreSQL, and SQL Server removed the resources and cost that would typically be taken up by database maintenance.Auto TraderMoving to Cloud SQL significantlyimpacted the way our teams work and has helped us created a seamless development experience.Mohsin Patel Principal Database Engineer, Auto Trader UKBloghttps:///blog/products/databases /how-auto-trader-migrated-its-on-prem-databas es-to-cloud-sqlResults●Developers can now focus on game logic and development rather than database complexity and infrastructure issues.●COLOPL can launch new game titleswithout concerns over stability, scalability, or performance.●Database costs have been reduced by up to 25% and operational costs have been reduced by up to 80%.ChallengeFrom 2012 onward, COLOPL relied on a traditional cloud service to develop and run its games.Responding rapidly to load changes—particularly when loads were higher than expected—wasextremely difficult. COLOPL tended to add excessive server capacity to reduce the risk of being caught short. As well as taking up to 5.5 workdays to complete, this also drove up costs.SolutionUsing Google Cloud services, including Cloud Spanner and Google Kubernetes Engine, COLOPL is achieving the scalability, stability, and cost efficiency to optimize player experiences of leading mobile games such as Dragon Quest Walk.COLOPLCloud Spannerperfectly matched our need for scalingdatabase resources in a cost-effective way to manage game loads. We knew that Google Cloud, by being the leader in Kubernetes development andproviding direct access to developers, would boost the spirit of inquiry among our engineers.Kenta SugaiExecutive Director, COLOPLCase studyhttps:///customers/colopl/Results●Create a new replica for a TB size database in <30 minutes, which used to take several days.●Unplanned downtime is 83% less than with previous database solutions.●Manhattan Associates moved every Manhattan Active® solution to Google Cloud, including Cloud SQL, with < 4 hours of downtime.ChallengeManhattan Associates needed a database solution that could support their availability and cost needs. Their previous database solutions struggled across different cloud platforms and created challenges in total cost of ownership and licensing.SolutionManhattan Associates uses Cloud SQL for MySQL to run Manhattan Active® solutions. Cloud SQL helps them meet their availability goals with automaticfailovers, automatic backups, point-in-time recovery, binary log management, and more. Cloud SQL also allows us them create in-region and cross-region replicas efficiently with near zero replication lags.Manhattan Associates“Today, we run hundreds of Cloud SQL instances and operate most of them with just a few database administrators (DBA). By offloading the majority of our database management tasks to Cloud SQL, we significantly reduced the cost to maintain Manhattan Active® Platform databases.”Sanjeev Siotia,SVP and CTO, Manhattan AssociatesBloghttps:///blog/products/databases /manhattan-associates-powers-supply-chain-app -with-cloud-sqlResults●45% savings in database management costs.●20% savings in infrastructure costs.●Decommission of 16 legacy on-premise systems.ChallengeIn early 2020, TIM Group set out to solve a common challenge faced by large enterprises: keeping up with competitive trends and new technologicaldevelopments. One of their core IT systems, the billing function, was in need of a modernization overhaul.SolutionTIM Group used Cloud SQL for PostgreSQL andGoogle Compute Engine to automate important billing and credit systems that had previously been processed manually.TIM GroupWith Cloud SQL powering our newbilling system, we can now automate previous manual billing and credit processing, dismiss over a dozen legacy systems, and build upon technology that provides high performance, easystorage scalability, high availability, anddisaster recovery. And this is all at significant cost savings indatabase maintenance and infrastructure.Enrico Rocino ICT Manager, TIM Group,Responsible for “Wholesale -Billing to Cash” - IT Digital SolutionsBloghttps:///blog/products/databases /how-tim-group-achieved-45-database-managem ent-cost-savingsGetting startedFour key phases for a successful migrationAssess and evaluate your IT landscape and workloads to understand what you already haveOptimize your operationsand save on costs Plan, based on your assessment, what can move, what should move, and in which orderMigrate: pick a path, and get startedThough this migration plan is shown as a single circle, it’s a bit more iterative than that. You’ll have your high-level migration plan, with groups of apps called migration waves that need their own specific plans.In theory, each plan adapts the lessons from previous migration waves. It’s not uncommon to go back and forth between the four different phases. It’s all about building that migration muscle memory and realizing that it’s a journey.A good migration plan has four phases:assessment, planning, execution, and optimizationPartner solutions such as Striim Real-time data integration and data movement to BigQuery,Spanner, and Cloud SQL.Database Migration Program Quickly migrate your database workloads to our managed offerings. Database assessmentAssess and prioritizeyour workloads for migration We offer tools to help you get there safely and efficiently Database Migration Service(DMS) and DatastreamMigrate workloads in just a fewclicks with a serverless experienceThis white papercontains useful information about migrating your databases to managed services on Google Cloud. Download and read it hereGet started with ourhands-on labs if you’d like to learn more about Cloud SQL and other products.https://www.cloudskillsboost.google/quests/52Thank you。
Matlab的第三方工具箱全套整合(强烈推荐)
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Proceedings of the 33rd Hawaii International Conference on System Sciences- 2000 Software E
Software Engineering ToolsJonathan GraySchool of Information Technology and Computer Science University of Wollongong, NSW 2522, AUSTRALIA Tel +61 2 4221 3606, Fax +61 2 4221 4170jpgray@AbstractAutomated tools play an important role in the promotion and adoption of software engineering methods and processes. The development of these tools is itself a significant software engineering task, requiring a considerable investment of time and resources. There are a large number of different kinds of automated software engineering tools, variously known as CASE, CAME, IPSE, SEE, and metaCASE tools. Although these tools differ in the particular methods, activities, and phases of the software development cycle to which they are applied, constructors of these tools often face similar implementation issues. Decisions about host computing platform, implementation language, conformance with standards and reference models, choice of repository, integration and interoperability mechanisms, and user interface style have to be made. This mini-track is based around the experience reports of researchers and practitioners actively involved in software engineering tool development.1. Background and motivationThe purpose of this mini-track is to bring together a community of software engineering practitioners and researchers who have an interest in developing software engineering tools. The mini-track should be of interest to anyone concerned with:•tool construction technologies and techniques;•development and application of new tools;•evaluation of tools.By software engineering tool we mean any software tool that provides some automated support for the software engineering process [1]. This is quite an encompassing definition that covers a number of levels of automated tool support, including:•support for development activities, including specification, design, implementation, testing, andmaintenance;•support for process modeling and management;•meta-tool technology, such as metaCASE products, used for the generation of custom tools to supportparticular activities or processes.Within each level of support, we can find differing breadths of support [2]:•individual tools that support one particular task;•workbenches, or toolsets, that support a number of related tasks;•environments that support the whole, or at least a large part, of the development process.These definitions include many different kinds of software engineering tool variously known as CASE (Computer Aided Software Engineering), CAME (Computer Aided Method Engineering), IPSE (Integrated Project Support Environment), SEE (Software Engineering Environment), metaCASE, CSCW (Computer Supported Cooperative Work), and Workflow Management Systems.The mini-track focuses on practical issues of the design, implementation, and operation of these tools, with the intention of sharing experiences and exchanging ideas so that our future tool development activities will be more productive and the tools more useful. The authors in this mini-track report on tool development covering a wide range of topics including metaCASE approaches, component based technologies, process modelling, repository organisation, distribution and configuration, data interchange, HCI/GUI, and cognitive and social aspects of tool development. Given this range of topics, it is hard to classify each paper into a single topic area. What follows below is a short overview of each paper anda brief description of the topics addressed.2. Papers and topicsUnderstanding the cognitive processes involved in software development, and codifying knowledge about the software artifacts produced in this process, is an important and challenging undertaking. Encoding the experiences of software developers through the use of design patterns [3] is a topic explored in the paper by Reiss. The author presents a novel pattern language, and he describes thePEKOE tool for assisting the identification, classification, creation, and maintenance of design patterns. The tool allows programmers to work with both design patterns and code simultaneously. Patterns can be saved in a library that accompanies the PEKOE system, and the patterns can be verified, maintained as the source evolves, and edited to modify the source.Software engineering tools collect and store valuable amounts of information of various types including software designs, process management information, and meta-model data. To assist engineers in collaborative development work, these tools need to inter-operate and exchange information. Various classification schemes [4], reference models [5], and standards [6][7][8] have been proposed to tackle the problems of interoperability and data interchange. The paper by St-Denis, Keller, and Schauer examines the topic of data interchange in the context of a design recovery environment known as SPOOL. The authors describe the difficulties involved in model interchange and they evaluate a number of solutions to this problem. There is currently a lot of interest in this topic by standards organisations, and the new XMI format [9] looks like a very promising interchange format that may become widely adopted.With the increasing popularity of distributed systems, there is demand for software engineering tools that support software engineering in a distributed manner, across a wide area, and possibly over heterogeneous networks [10]. Lehto and Marttiin examine the topic of collaborative working and the development of groupware tools to support this kind of activity. The authors describe theories of collaborative working, and they report their experiences with the with the Timbuktu system for supporting collaborative design.The use of meta-tool technology is an important topic in software engineering tool development. The objective is to (re)build tools and tool components in a rapid manner and at the highest possible level of description. This topic is addressed in the paper by Kahn et al. The authors explore the generation of implementations of tool components, such as interchange formats, database schemas, and application program interfaces, from high level, implementation independent specifications. This work is focused on tools, based on the ISO STEP/EXPRESS standards [7] [8], for supporting major product manufacturing domains. The authors describe a transformation system, known as STEPWISE, for manipulating specifications written in EXPRESS, and they provide example transforms to illustrate this behaviour.The manipulation of graphical representations of software artifacts is an important topic in software engineering tool development. The generation of new, customised, graphical modeling tools, tailored to domain-specific notational conventions, is the theme of the paper by Sapia et al. The authors describe their generic modeling tool, known as GraMMi, and they explain how it can be configured at run time to different notations by reading specifications of the desired graphical notation from a metadata repository. The incorporation of a four layer metadata framework, a layered system architecture, and a model-view-controler (MVC) user interface [11] are features of GraMMi that tool developers will find particularly relevant and interesting.The generation of tools from high level specifications and the manipulation of visual representations of software are topics addressed in the paper by Mernik et al. The authors describe the LISA system, in which, formal language specifications [12] are used to generate language specific program development environments. This work addresses several important software engineering issues including: incremental development of new programming languages; software development using visual design languages; and the portability of the generation system and its tools across different computing platforms.3. References[1]Sommerville, I. Software Engineering, Addison-Wesley,(1995).[2]Fuggetta, A. “A classification of CASE technology”,IEEE Computer, Vol 26, No 12, December (1993), 25-38.[3]Gamma, E., Helm, R., Johnson, R., and Vlissides, J.Design Patterns, Adison-Wesley (1995).[4]Thomas,I. and Nejmah, B. "Definitions of toolintegration for environments", IEEE Software, Vol 9 No 3, March (1992), 29-35.[5]Wakeman, L. and Jowett, J. PCTE: the standard forOpen Repositories, Prentice Hall, (1993).[6]Electronic Industries Associates. "CDIF: CASE DataInterchange Format Technical Reports." CDIF Technical Committee, Electronic Industries Associates, Engineering Department, 2500 Wilson Blvd, Arlington, VA 22201, USA (1994).[7]ISO 10303-11. Part 11: "EXPRESS Language ReferenceManual", (1994).[8]ISO 10303-21. Part 21: "Clear Text Encoding of theExchange Structure", (1994).[9]Object Management Group. "XML Metadata Interchange(XMI)", OMG Document ad/98-10-05, October (1998).Available from /docs/ad98-10-05.pdf.[10]Agha, Gul A. "The Emerging Tapestry of SoftwareEngineering", IEEE Concurrency, Parallel, Distributed & Mobile Computing, vol.5, no.3, July-Sept (1997), Special Issue on Better Tools for Software Engineering, pp.2-4. [11]Lee, G. Object-oriented GUI application development,Prentice Hall, (1994).[12]Wolper, P. "The meaning of "formal": from weak tostrong formal methods", International Journal on Software Tools for Technology Transfer, Vol 1, No 1+2, (1997) 6-8.。
java hultool断言用校验参数的例子
java hultool断言用校验参数的例子Here's an example of using the Java Hultool assertion for parameter validation:```javaimport mon.utils.Assert;public class MyService {public void doSomething(String param) {// 使用Hultool的Assert进行参数校验Assert.notNull(param, "Parameter 'param' must not be null");Assert.hasText(param, "Parameter 'param' must have text");// 参数校验通过后，执行实际业务逻辑// ...}}```在这个例子中，我们使用了Java Hultool库的`Assert`类来进行参数校验。
在`doSomething`方法中，我们首先通过`Assert.notNull`方法来校验`param`参数是否为`null`。
如果`param`为`null`，则会抛出一个`IllegalArgumentException`异常，并附带错误信息"Parameter 'param'must not be null"。
接着，我们使用`Assert.hasText`方法来校验`param`参数是否包含文本内容。
如果`param`为空字符串或只包含空白字符，同样会抛出一个`IllegalArgumentException`异常，并附带错误信息"Parameter 'param' must have text"。
只有当参数校验通过后，我们才会执行实际的业务逻辑。
jupyter记事本 项目管理知识
英文回答：The Jupyter Notebook， an open—source interactive notebook tool， has been widely applied in the areas of data science，machine learning and project management。
In the area of project management， the Jupyter transcript facilitates team collaboration， records project progress， displays data analysis，etc。
It supports many programming languages， such as Python， R and Julia， which allow team members to choosethe appropriate language for project management based on their preferences。
The use of such tools will increase efficiency，facilitate project management and demonstrate the multi—faceted and integrated ability of team members to prepare codes， document writing， data visualization and modelling。
Jupyter记事本作为一种开源交互式笔记本工具，已经在数据科学、机器学习和项目管理等领域得到广泛应用。
在项目管理方面，Jupyter记事本有助于团队协作，记录项目进展，展示数据分析结果等。
其支持多种编程语言，如Python、R、Julia等，使得团队成员可以根据自己的偏好选择合适的语言进行项目管理。
空间系统 aboard 设备创建的技术设计基础设施说明书
Simulation Infrastructure Design on the Basis of the Space Industry’s International StandardsLudmila Nozhenkova, Olga Isaeva, Aleksey Markov, Andrey Koldyrev, Rodion Vogorovskiyand Alexander EvsyukovInstitute of Computational Modelling of the Siberian Branch of the Russian Academy of Sciences, Akademgorodok 50/44,660036 Krasnoyarsk, RussiaAbstract—We have designed a technology for creation of the space systems’ onboard equipment simulation problem-oriented infrastructure, based on the Simulation Model Portability standard. The simulation infrastructure is a software environment allowing to create, integrate and use simulation models of different purpose including those of different manufacturers’. The infrastructure includes software components, specifications, simulation models and the results of tests, as well as the knowledge bases consolidating knowledge and experience of the experts in space systems’ onboard equipment creation. Our product will help to increase the quality and validity of designer solutions at different stages of the space equipment production lifecycle.Keywords-simulation model portability; spacecraft; onboard equipment; command and measuring system; simulation infrastructureI.I NTRODUCTIONUnification of space equipment production requires unified approaches to the software tools supporting its production lifecycles. The European Cooperation for Space Standardization has developed a number of standards recommending computer modeling technology for support of all the stages of space projects’ realization. [1]. There are simulation models created for different design and production tasks, that provide the necessary characteristics and properties of the space systems. In order to provide construction and usage of complex multi-component simulation models describing the specifics of function of software-hardware systems, it is necessary to increase integrability of the modelsin complex solutions. In this regard, a topical direction of research is creation of the libraries of reusable models and of their shared use technologies, independently from the software tools applied for their building. [2]. The main principles providing integrability of different manufacturers’ models are set by the international Simulation Model Portability (SMP) standard [3, 4]. The standard determines universal approaches to organization of the simulation systems for simulation models building and their transferability in the modeling environments and operation systems.In this article we present the product of our research in creation of an original technology for building of a space systems’ onboard equipment simulation problem-oriented infrastructure, based on the Simulation Model Portability standard. The technology adds the standard’s architectural and functional requirements to software with the original methods of information-graphical and intellectual modeling [5, 6]. The standard sets the general principles of model interface description and regulates functionality of the software modules constituting the core of the modeling infrastructure. However, it doesn’t solve a number of problems concerning construction, modeling, integration and interaction of the models, and they are solved by software designers individually. Presently, there is a number of simulation infrastructure designs. The biggest and most significant ones are: SimTG – Astrium Satellites [7], SimSAT – European Space Agency [8], the European mission control center simulator SWARMSIM [9]. Each of the projects is based on the standard, but has different technological approaches in simulation and experiment conduction. The introduced functional additions are aimed at optimal task solution, determined by the purposes of the infrastructure building. We suggest technological and software approaches that allow not only to provide usage of models in different projects and in different programm, but also to consider the specifics of the task under solution. Information-graphical modeling allows to set the system’s structure in a graphical form, visualize model’s behavior during simulation and the events appearing in it related to the onboard systems’ interaction: command transmission, telemetry generation and analysis. The intellectual modeling method allows in an interactive mode to create model rules describing the onboard systems’ interaction logics in terms of the subject area. The ability to set the function logics in form of rules allows the constructor to easily build and then modify a simulation model without using programming skills. The technology of simulation infrastructure construction that integrates information-graphical, intellectual and simulation methods and meets the requirements SMP, is an original and promising one for such task solution.II.T HE TASKS OF THE O NBOARD E QUIPMENT S IMULATIONINFRASTRUCTUREThe functions of our simulation infrastructure are determined by the basic tasks of the space systems’ onboard equipment design. The software tasks include support of the design and analysis of the designer solutions at different stages of production lifecycle. These tasks can be technologically presented in actions for which the software can be applied (Figure 1).2nd International Conference on Control, Automation, and Artificial Intelligence (CAAI 2017)FIGURE I. TASKS OF THE ONBOARD EQUIPMENT SIMULATIONINFRASTRUCTUREA complex model design is performed on the basis of the analysis of the purpose and tasks that need be solved by this simulation model. The structure of the modeled onboard system is built, and its subsystems and their functional dependencies are defined. An onboard equipment designer must be able to build space systems’ functional models using the existing models of different manufacturers or creating his own ones in a special environment not requiring additional programming skills from him. The infrastructure provides a rule editor allowing to create model’s elements’ functions and the logics of their interaction in an interactive mode. This functions will let a specialist to easily build and then modify a simulation model without programming. The rules are clear, thus letting a constructor understand the models, both his own and the ones created by the other specialists, and to see the modeled system in whole. The examples of the space equipment intellectual modeling methods are described in literature [10], but such research does not satisfy the principles of transferability provided by the SMP standard, and they cannot be used in simulation infrastructures. We have developed our own technology of simulation models’ integration, including those built on the no-rule basis, and those created in accordance with the SMP standard. The technology allows to build complex models of big systems by uniting the models on the basis of the rules and the SMP models in a one complex model with support their modification. Different realizations of the models are transformed into a unified form by means of the information-graphical modeling tools, and this allows to use the same approaches and software tools for simulation tests preparation and execution, as well as for visualization and analysis of the results of the modeling.III. S IMULATION M ODELING I NFRASTRUCTURER EALIZATIONAt the moment the simulation infrastructure is under realization. We are developing the simulation core, graphical modeling tools, editors of models, rules and scenarios. The simulation modeling core includes the mechanisms defined by the SMP standard: Time Keeper, Scheduler, Logger, Event Manager Link Registry, Resolver. The infrastructure includes a subsystem of integration that makes automated interpretation of the models, adding it the graphical structures and mechanisms necessary for the joint work of the models. The modeling core initiates execution of the SMP models and carry out logical inference on the basis of the rules. It allows to manage the speed and the process of the simulation experiment. Its functions include gathering of information about the model’sperformance during simulation tests, control of the order of messaging between the model’s elements and change of the model’s condition. The modeling core contains the functions of visualization and saving of the results of modeling, allow to further retrospective analysis of the simulation results. Each of the software subsystems is a special tool providing advanced features for task solution.High level of the problem orientation in the simulation infrastructure is provided due to model design graphical tools and the rule editor. An example of model element’s graphical presentation and knowledge base is given in Figure 2.FIGURE II. GRAPHICAL MODELING TOOLS AND RULE EDITORThe program windows with the model parameters are shown in Figure 3. The tools allow a designer to use familiar semantic constructions to build onboard equipment models of work. The methods are set in form of condition-action rules. Our special tools for knowledge base creation allow to describe different variants of the modeled objects’ behavior. These tools were tested earlier, they were used to build function models of spacecraft command-and-measuring system’s onboard equipment [11]. Their implementation in the simulation infrastructure will extend the abilities to build models and provide their transferability and integrability in complex solutions.FIGURE III. MODEL PARAMETERSFigure 4 (at the end of the article) shows the view of the main window of the of infrastructure’s for the simulation of spacecraft onboard equipment functions. The navigation tools for the models, scenarios and the results of modeling allow to easily choose, perform and view the ready model solutions. The linkage of the models, scenarios and the results supported by the software, is an end-to-end technology of modeling and analysis of the spacecraft onboard equipment functions.IV.C ONCLUSIONThe technology for build of problem-oriented simulation infrastructure , based on the Simulation Model Portability standard, and it realization allow to build different models of space systems’ onboard equipment. Our software includes all the necessary components for simulation models’ integrability and transferability support. The software subsystems’ structure is added with the original tools of graphic and intellectual modeling that provide creation, conservation and replication of the onboard equipment constructors’ unique experience. Usage of the modeling tools will allow to increase the quality and propriety of designer solutions at different stages of space equipment production lifecycle.Creation of centralized banks of models and modeling scenarios will provide knowledge exchange of specialists of different departments and areas of the instrument making industry, involved in the space systems design.A CKNOWLEDGMENTThe reported study was funded by RFBR and Government of Krasnoyarsk Territory according to the research project №16-41-242042.R EFERENCES[1]Space engineering. System modelling and simulation // ESARequirements and Standards Division ESTEC, 2010.[2]Lammen W.F., Moelands J., MOSAIC Release 7.1: User Manual, NLR-CR-2006-517, NLR 2006.[3]Simulation modelling platform. ECSS E-40-07 // ESA Requirements andStandards Division ESTEC, The Netherlands, 2011, p. 49.[4]Simulation Model Portability 2.0 Handbook, 2005, EGOS-SIM-GEN-TN-0099, issue 1, revision 2, 2005.[5]Nozhenkova L.F., Isaeva O.S., Gruzenko E.A., Koldyrev A.Yu, MarkovA.A., Belorusov A.I., Vogorovskiy R.V. Unified description of theonboard equipment model on the basis of the «Simulation Model Portability» standard // Advances in Intelligent Systems Research (ISSN 1951-6851), Vol. 133, 2016, pp. 481-484, doi:10.2991/aiie-16.2016.111.[6]Nozhenkova L.F., Isaeva O.S., Gruzenko E.A., Koldyrev A.Yu.Integration technology of the onboard equipment simulation models in simulation modeling infrastructure // Proceedings of the 2016 International Conference on Electrical Engineering and Automation (ICEEA2016), 2016, pp.618-622, doi:10.12783/dtetr/iceea2016/6728. [7] C. Cazenave and W. Arrouy, “Implementing SMP2 Standard withinSimTG Simulation Infrastructure” SESP (ESA): Simulation and EGSE for Space Programmes, 2012.[8]J. Eggleston, H. Boyer, D. van der Zee, A. Pidgeon, N. de Nisio, F.Burro, and N. Lindman, “Simsat 3.0: Esoc's New Simulation Infrastructure,” 6th International Symposium on Reducing the Costs of Spacecraft Ground Systems and Operations (RCSGSO).[9]Peter Fritzen, Daniele Segneri and Max Pignède, “SWARMSIM – Thefirst fully SMP2 based Simulator for ESOC,” 11th Int. WS on Simulation & EGSE facilities for Space Programmes SESP, 2010. [10]Eickhoff J. Simulating Spacecraft System. Springer-Verlag BerlinHeidelberg, P. 360, 2009.[11]Nozhenkova L., Isaeva O., Gruzenko E. Computer Simulation ofSpacecraft Onboard Equipment // ACSR-Advances in Comptuer Science Research, Vol.18, 2015, pp.943-945, DOI: 10.2991/cisia-15.2015.255.FIGURE IV. THE MAIN WINDOW OF THE OF INFRASTRUCTURE’SFOR THE SIMULATION OF SPACECRAFT ONBOARD EQUIPMENT FUNCTIONS。
OptSuite-TheJavaOpticalMeasurementSuite
OptSuite–The Java Optical Measurement SuiteAlexander Bieber,Stephan Reichelt,and Hans ZappeLaboratory for Micro-optics,Department of Microsystems Engineering–IMTEK,University of Freiburg,Germany*****************A software platform for the control of experimental measurement setups is presented.The platform is built on the Eclipse RCP and makes use of its plug-in mechanism to build an extendable framework that can be adapted to a variety of tasks in an optical laboratory.Opt-Suite provides interfaces on all levels of programming or computer knowledge.It enables users to manage measurements by a graphical user interface or extend OptSuite’s capa-bilities by JavaScript,Matlab scripts or Java classes.OptSuite’s current set of plug-in’s pro-vides extensions of the framework for phase-shifting interferometry and time domain OCT. For this purpose,several reusable hardware interfaces and measurement algorithms were developed,including the control of FireWire cameras as intensity detectors,a framework for controlling motor stages,and USB-controlled piezo-driven device for phase-shifting.1IntroductionThe control of experimental setups is often done indi-vidually in a variety of technologies or with expensive commercial software.This increases research costs and causes multiple implementations of similar tasks.The OptSuite1project aims to bundle common tasks aris-ing from measurement applications in optical laborato-ries and to provide a framework that can be easily ex-tended by users or programmers.Unlike commercial software,OptSuite is published as free software and un-der an Open Source license.It is written in the Java pro-gramming language,which has recently attracted a huge community and for which many libraries are freely avail-able.OptSuite’s focus of development has been on its general adaptability to different applications and on col-laboration and sharing of its extensions.2Application FrameworkThe OptSuite platform is based on the Eclipse RCP2that provides a free application development framework.Al-though Eclipse is based on native libraries and adapts to the appearance and behavior of the underlying operating system,it is available for most common systems such as Windows,Linux or Mac.Besides basic UI components, like windows,buttons or tables,Eclipse provides a pow-erful plug-in architecture.An Eclipse plug-in consists of its Java classes usually packed into a jarfile and a descriptor(plugin.xml and MANIFEST.MF).The descriptor defines a plug-in’s in-terconnections with others.Plug-ins can set dependen-cies on other plug-ins in order to access their exported classes.By providing an extension-point,a plug-in can declare an interface with which other plug-in’s can inter-act,or extend the functionality provided by the declaring plug-in.The other plug-ins can access this functionality by declaring extensions to these points.Furthermore,Eclipse plug-ins can be bundled into fea-tures that are used by Eclipse’s update mechanism. They can be individually installed and updated from a remote update-site.OptSuite is integrated into the Eclipse framework and defines extension-points specific to optical measure-ment.The next sections briefly describe the most im-portant extension-points of OptSuite and their concepts. 3Extension ConceptsOptSuite manages the different measurement tasks as so called measurement-routines.These routines con-sist of an arbitrary list of routine-steps and can be grouped into routine-sequences.One can consider a routine as the workflow of a real measurement setup that in most cases can be divided into three major parts: data-acquisition,data-analysis and data-visualization. All parts can be modeled as routine-steps,in which Opt-Suite provides special extension-points for common ap-plications.One example is the measurement-tool con-cept of OptSuite.Measurement-tools are brought in by OptSuite plug-ins and provide access to hardware tools such as light sources,detectors or motor stages.The tools are made available to routine-steps upon data-acquisition.For data-analysis,OptSuite simply passes the previously acquired data to registered data-analyzers,which then can either read the data for statistical or qualificatory purposes or directly manipulate it.Analyzers can add their results to so-called OptSuite reports.Reports have two aspects.One is the graphical result-presentation to the user and the second is the storage of these results. Here again a framework was developed and can be ex-tended to support specialized UI representation or cus-tom storage formats for the further use in external appli-cations.Similar to the report framework,the extension-point“ioFilter”enables the registration offilters to storeFig.1:OptSuite’s architecture,which is based on the Eclipse RCP and provides extension-points to extenders of the platform.the raw and analyzed measurement data to differentfile formats.Currently it supports the storage into binary and text format developed at IMTEK(*.opa,*.opb),CODE-V (*.int)and PGM format.Data visualization is also done by special routine-steps. OptSuite incorporates plotting components in Java SWT technology that can be used to plot one-and two-dimensional data.These standard components,how-ever,are again part of a framework in which OptSuite allows different plotting engines to visualize its data.In addition to its build-in routine-steps or those provided by other plug-in developers,OptSuite allows its users to extend and customize the behavior of the application by so-called scripted routine-steps.These steps will exe-cute a user-defined script written in either JavaScript or Matlab-script.Like Java routine-steps,the scripts have access to measurement-tools and the previously ac-quired data.4Available ExtensionsOptSuite and its current extensions for phase-shifting interferometry(PSI)3and optical coherence tomogra-phy(OCT)provide features unique to these applications, but their development brought up several measurement-tools and routine-steps that can be used for general measurement or interferometrical applications.A very abstract andflexible measurement-tool is the GPIB4interface,which provides a connection to GPIB devices and allows the execution of GPIB commands and queries.Together with a JavaScript routine-step,this can be used for a quick implementation of a device con-trol.For positioning tasks,OptSuite provides a frame-work for the control of motor stages.Currently this can be used with the OWIS PCI card for linear stages.Interferometry requires two-dimensional intensity de-tection that is modelled in OptSuites intensity-detector framework.Its standard extension can be used with digital cameras compliant to the IEEE1394standard (FireWire).For data pre-processing,OptSuite includes a framework to mask the measurement data and mark its data points with attributes.Additionally,a graphical editor was devel-oped to create masking areas for the acquired data.Specialities of PSI are control of the reference phase-shift and unwrapping of the2π-wrapped data that re-sults from calculating the test phase data.Phase shift-ing is accomplished with a piezo transducer(P-239.00, Physik Instrumente).It is controlled via the USB-Port us-ing an I/O controller(IO-warrior40,Code Mercenaries) and D/A converter(MX7248,Maxim)to transform the USB output signal to the desired input signal of a high-voltage amplifier connected to the piezo transducer.For phase unwrapping,the Goldstein unwrapping algorithm was implemented in Java.OptSuite’s OCT extensions use the GPIB interface for data-acquisition and provide functions for the signal pro-cessing of OCT measurement data.5ConclusionOptSuite provides aflexible framework for optical and general measurements.By publishing its source code, we are making it available to an interested optical com-munity.With a growing number of routines and tools, OptSuite can shorten development time and limit dupli-cate implementations.We invite all interested parties to use OptSuite and to actively contribute to the project. AcknowledgementThis work was partiallyfinancially supported by the Landesstiftung Baden-W¨urttemberg gGmbH”Forschung Optische Technologien2002”.References1.http://www.imtek.de/micro-optics/optsuite2./index.php/Rich_Client_Platform3.Stephan Reichelt and Hans Zappe,“Mach-Zehnder/T wyman-Green hybrid interferometer for micro-lens testing,”DGaO-Proceedings,2005.http://www.dgao-proceedings.de/ download/106/106_a12.pdf.4./wiki/GPIB。
2 Introduction Velvet虚拟音乐器说明书
IntroductionVelvet is a virtual instrument that can be used to add the realistic sound of vintage electric pianos to your recording.Velvet provides five high-quality models of rare and legendary electric pianos, developed to deliver unprecedented realism in terms of sound quality and playability.Using proprietary technology, Velvet provides all the nuanced details that influence the sound of a vintage electric piano. A built-in preamplifier and custom equalizer, as well as a multi-effect section with sixteen effects, make Velvet the perfect choice for reproducing all kinds of electric piano sounds of the past and present in your recording.System Requirements and Product SupportFor complete system requirements, compatibility information, and product registration, visit the AIR website: .InstallationWindows®1.Double-click the .exe installer file you downloaded.2.Follow the on-screen instructions.Note: Velvet uses PACE copy protection, so it will install the PACE InterLok driver on your system if you do not already have it. As most audio software uses PACE copy protection, though, this is probably already installed on your system.Mac OS X1.Double-click the .pkg installer file you downloaded.2.Follow the on-screen instructions.Using VelvetVelvet has a straightforward user interface with three separate sections. Each section provides parameters that affect an electric piano’s sound:•Setup Section: This section provides control over the basic sound and behavior of the selected electric piano model. You can manipulate and tune Velvet in this section—for example, mix in mechanical noises or adjust the velocity sensitivity. For more information, see Setup Section of this guide.•Preamp/FX Section: This section provides controls to adjust and shape the electric piano sound using a one-knob Compressor, Tube Drive, Equalizer, and a selection of stomp-box and studio effects. For more information, see Preamp/EQ and FX Section of this guide. •Piano Front Panel: This section provides a Piano Model selector, Master Volume control, and Tremolo/Autopan controls. You can play Velvet by using MIDI input from a MIDI keyboard, an Instrument or MIDI track in Pro Tools, or by clicking the 73 keys on screen.For more information about the Piano Front panel, see the next section of this guide.Piano Front PanelThe Piano Front Panel provides the Piano Model selector, a Master Volume control, Tremolo/Autopan controls, and a K eyboard Extension switch. The 73 keys in the K eyboard section correspond to the keys of a MIDI keyboard and their MIDI notes starting from E0 on the left to E6 on the right. You can play Velvet by clicking the on-screen keys, using MIDI input froma MIDI keyboard, or from MIDI data in an Instrument or MIDI track in your software.1.Model Selector – Velvet contains five different vintage electric piano models. Click theModel Selector and select a piano model from the pop-up menu.Note: Loading a piano model may take several seconds. During the loading process, Velvet and your software may temporarily become unresponsive.2.Master Volume – The Volume knob on the Piano Front Panel controls Velvet’s mainoutput to your audio software.3.Tremolo Controls – Tremolo is a rhythmic variation in amplitude—a common effect thatwas built into many vintage electric pianos. Enabling its stereo mode applies a periodic variation of position in the stereo field. Velvet provides Tremolo effects for all models by reproducing the circuits of the Fender Rhodes Suitcase and the Wurlitzer A200.•On/Off: Enables the Tremolo effect.•Mono/Stereo: Enables Mono or Stereo Tremolo mode.•Rate: Adjusts the speed of the Tremolo effect.•Depth: Adjusts the amount of Tremolo applied to the sound.4.Save/Load Section – This section lets you load and save sounds.•Loading Sounds: To load a sound, click the screen to bring up a categorized list of Velvet sound patches. You can also use the arrow buttons to the right of the patchname to quickly shift between sounds.•Saving Sounds: To save a sound, click the Save button. If you wish to quickly overwrite the file you are currently working on without changing the file name orbringing up the file browser, you can do so by shift-clicking the Save button.5.Keyboard Extension Switch – The electric pianos in Velvet have the same key range asthe original models (A0–C6 for the A200, E0–E6 for the others) to guarantee authenticity.The K ey Extension switch lets you to play notes outside this range. To do this, set the switch to the Up position.6.Configuration – This button brings up a page containing several global parametersaffecting the operation of Velvet. This is described in detail in the Configuration Page section of this manual.Setup SectionThe Setup section provides controls for adjusting Velvet’s basic setup and playing behavior—including adjustment of the Pickup level, mechanical noises, and Key release. You can also set the amount of waveform data loaded into RAM and adjust Velvet’s dynamic response.1.Pickup Level – The Pickup Level control adjusts the volume of the line signal captured bythe instrument's pickups. Usually, a vintage electric piano is recorded by connecting the instrument’s line out directly to an amp or mixer. The Pickup level control adjusts the amount of this signal. Turn the Pickup Level control to the right to increase the line signal’s volume.2.Mechanics – The Mechanics controls adjust the type and amount of mechanical noisesthat occur when playing an electric piano (i.e., the sound of keys being pressed, as heard by the player). These sounds are not captured by the Pickups. Velvet is the first virtual electric piano that lets you add original mechanical noise to the sound for increased realism. There are three Mechanics modes:•Off: Disables mechanical noises.•On: Enables mechanical noises. Turning the Mechanics knob clockwise increases the amount of mechanical noises.•Open: Enables mechanical noise, modelling the sound of an electric piano with the lid removed. Again, turning the Mechanics knob clockwise increases the amount ofmechanical noise.Tip: If you set the Mechanics control to On, and turn the Pickup Level control all the way down, you will hear the sound of a switched-off vintage electric piano.3.Key Off – The Key Off controls adjust the type of noise that occurs when releasing keysand the associated knob sets the volume of the noise. There are three Key Off modes:•Off Disables key release noise.•On Enables key release noise.•Stacc (Staccato) Enables key release noise with a special behavior when short notes are played. Playing staccato notes on a real electric piano keeps the dampersfrom cutting off the note as quickly as normal, resulting in a different release sound.4.Condition – This knob has the effect of increasing the “age” of the piano model. Turningthe knob clockwise introduces increasing note-to-note deviations in tuning and dynamic response, simulating an old electric piano in need of service.5.Mem (Memory Selector) – Use this control to adjust the amount of waveform data Velvetloads into your computer’s RAM.•Eco: Is the smallest possible load size. Eco uses fewer system resources, but also limits the range of expression available.•Mid: Provides a good balance between system load and range of expression.•XXL: Is the default load size. XXL, the largest possible load size, provides the maximum range of expression available, but also places the greatest demands onsystem resources.6.Fine Tune – The Fine Tune control adjusts the tuning of Velvet. The maximum tuningdeviation is 2 semitones up or down.7.Velo Curve (Velocity Curve) – Use the Velo Curve sliders to adjust Velvet’s velocitysensitivity. The four sliders from the left to the right represent Velvet’s velocity response from low to high.(wide dynamic range) (no velocity response) (normal response)8.Velo Response (Velocity Response) – These controls adjust the range of volume andtimbre available when playing at different velocities.•Volume: Adjusts the range of volume available. Turn the knob counter-clockwise to reduce the variation in volume when playing from low to high velocities. Turn theknob clockwise to increase the range.•Timbre: Adjusts the range of timbre available. Turn the knob counter-clockwise to reduce the variation in timbre when playing from low to high velocities. Turn the knobclockwise to increase the range.Tip: MIDI keyboards can have different velocity response behavior. Use the Velocity Response parameters to tune Velvet to the maximum velocity output of your keyboard.9.Timbre – These controls change the overall sound of the selected electric piano model.Turn the knob counter-clockwise for a soft, mellow sound; turn clockwise for a hard, bright sound. Used in combination with the Velocity Response controls, you can achieve a wide range of timbral responses. The Vintage Mode switch simulates the sonic characteristcs of many vintage electric piano recordings by adding a gentle low shelf boost to the overall sound.Preamp/EQ and FX SectionThis area of Velvet can be sub-divided into two sections: Preamp/EQ and FX.•Preamp/EQ: These controls adjust Velvet’s sound using a compressor, tube overdrive, and a three-band equalizer with a sweepable parametric mid-band.Velvet’s signal passes through the Preamp section before being sent into the FXsection.•FX: Velvet provides six categories of classic vintage effects. All of these effects can be switched on simultaneously, but the parameters of only one effect can be viewedat the same time. The FX section receives signal from the Preamp/EQ section andand passes its output to the Master Output Volume on the Piano Front Panel.p (Compressor) – The Compressor control adjusts Velvet’s dynamics using a soft-knee compressor. Turn the Compressor control to the left to accentuate the attacks, and to the right to boost the piano’s sustain.2.Tube Drive – The Tube Drive control adds harmonics and compression to the signal,emulating the behavior of a tube preamp responding dynamically to the input level. Turn the knob clockwise to increase the Tube Drive amount.3.Equalizer Section Controls – The three-band Equalizer provides a low band, a highband, and a parametric mid band for adjusting Velvet’s tone. The EQ section can be engaged or bypassed by clicking the EQ button at the top of this section. The corresponding light is illuminated when the EQ is active.4.EQ Level – The EQ Level control rebalances the volume of Velvet’s signal to compensatefor level changes caused by the Equalizer. Turn this knob counter-clockwise to attenuate, or clockwise to boost the signal before it is sent to the FX section.5.Insert Selector – Velvet has six insert effects that can be independently edited orswitched on and off.•To select an insert effect for editing, click the button corresponding to the effect.•To switch an effect on or off, click the small light to the right of each button. When an effect is active, this red light will be illuminated. If an effect is not active, the light willnot be illuminated.Tip: Click the FX button to quickly switch all insert effects on or off.6.Insert Effect Parameters – The knobs and sliders in this area change depending on whatinsert is selected above.Each effect can have up to four variations that can be selected using the vertical slider. The knobs and buttons to the right of the slider can then be used to fine-tune the effect.Configuration Page1.Mechanics Through FX – Velvet gives you the option of either routing mechanical noisesthrough the FX section or to let mechanical noises bypass the FX section. By default, the mechanical noises bypass FX section (i.e., this parameter is set Off) as this most closely models real-world recording conditions. However, if you would like the mechanical noises of Velvet to also be sent through the FX section, set this menu to On.2.Pedal Noise – This parameter lets you switch sustain pedal noises on and off. By default,this parameter is set to On.3.W ah Before Fuzz – By default, Velvet routes its signal through distortion insert effectsbefore the wah effect. Some players prefer to route their piano’s signal through the Wah first, followed by the distortion. This can be done by setting this parameter to On.4.Tremolo Before FX – By default, the tremolo effects of Velvet happen after the FXinserts. If you would prefer to have the tremolo effects happen before the FX section, set this parameter to On.5.Content Location – Velvet contains a large file called Velvet Data.big that contains all ofthe sample data for the modeled instruments. If Velvet is unable to locate this file at startup (for example, if you have moved the file to a new hard disk), you can manually locate the new file by clicking here.MIDI Controller MappingVelvet lets you assign standard MIDI controllers to virtually any parameter so that you can control Velvet from a MIDI controller in real time.To assign a MIDI controller to a parameter:1.Right-click (Windows or Mac) or Control-click (Mac) a control.2.Do one of the following:a.Select the desired MIDI controller from the Assign sub-menu.b.Select Learn and then move the desired control on your MIDI controller. Theparameter is automatically assigned to that control.To un-assign a MIDI controller:1.Right-click (Windows or Mac) or Control-click (Mac) an assigned control.2.From the pop-up menu, select Forget.About the Velvet Piano ModelsVelvet provides five models of legendary electromagnetic pianos. While Velvet offers a large range of options for changing and adjusting the sound, choosing the right piano model is the most important step to achieve the desired sound and feel. Each of the five models has been accurately replicated from selected originals that have been adjusted and modified to perfection. Sound character, playing feel, and behavior are all based on the models.Note that model names of the models do not refer to the exact original pianos that were studied during the development of Velvet, but rather give you a hint to which kind of Rhodes or Wurlitzer sound is widely associated with the model.Piano Model: SC73SC73 creates the typical sound ofthe Rhodes Suitcase 73. Thetines are set to a soft characterwith lots of body. This model isideal for ballads and blends nicelywith other instruments.Tip: For an accurate suitcasesound, use the Stereo Tremoloon the Piano Front panel(Suitcase tremolo effect) and theLarge setting of the Cab effects(Suitcase amp/speakers).Musical styles: Jazz, Pop BalladsSongs famous for featuring this instrument:•Stevie Wonder: "You Are the Sunshine of My Life"•Billy Joel: "Just the Way You Are"•Miles Davis: "In a Silent Way," Bitches Brew (album) •Bill Withers: "Just the Two of Us"Piano Model: MK IMK I is a model of a very dynamic,vintage-style reproduction of aFender Rhodes piano usually associated with the Mark I. The tineswere moved close to the pickup for afull, harmonically rich timbre and avery hard sound at high velocities.Tip: Use this model for rhythmicchords and soloing—especially whenyou want the piano to stick out of themix or compete against other instruments.Musical styles: Jazz Fusion, Jazz RockSongs famous for featuring this instrument: •Herbie Hancock: Head Hunters (album)•Jamiroquai: "Space Cowboy"•George Duke: "From Dusk to Dawn"•Chick Corea: "Spain"Piano Model: MK IIMK II is a model of the brightRhodes piano sound that becamefamous in the '80s, usually with acondenser upgrade/modificationfor a very bright soundaccentuating the metallic attack ofthe tines, further improved bytines set close to the pickups.This sound is very often referredto as “Dyno Rhodes,” used bykeyboardists David Foster (oftencombined with Grand Piano) andRobbie Buchanan.Musical styles: Westcoast, Fusion, PopSongs famous for featuring this instrument:•Al Jarreau: "I Will Be Here for You"•Whitney Houston: "Saving All My Love for You"•Chicago: "Bad Advice"•Donald Fagen: "Green Flower Street"Piano Model: A200A200 is a model of a Wurlitzerelectric piano. The Wurlitzer wasoriginally designed as a portableand cheap replacement for a realpiano, but its aggressive, powerfulsound character soon made it theonly real competitor to the Rhodespianos in pop and rock music.Many people refer to it as "theSupertramp sound." The Wurlitzercan sound very nice and mellow inballads, but it really excels inpower accompaniment andrhythmic chords.Musical styles: Blues, Pop, Rock.Songs famous for featuring this instrument:•Ray Charles: "What’d I Say"•Marvin Gaye: "I Heard It Through the Grapevine"•Three Dog Night: "Mama Told Me Not to Come"•Steely Dan: "Pretzel Logic"•Pink Floyd: "Money"•Supertramp: "Dreamer"•Supertramp: "Logical Song"Piano Model: Model-TModel-T creates the typical soundof a small "suitcase-style" piano.The instrument had a unique tonedue to the ground stainless steelreeds, a pick-up using variablecapacitance, and leather-facedactivation pads. The instrumentwas manufactured from the 1950sthrough the early 1980s and wasfound on many hit recordings fromthe 1960s and 1970s.Musical styles: Pop, Progressive RockSongs famous for featuring this instrument:•The Beatles: "I Am the Walrus," "Getting Better," "The Night Before"•The Zombies: "She’s Not There"•Herb Alpert: "This Guy’s in Love With You"•Three Dog Night: "Joy to the World"SupportFor technical support, please contact us through the Support page of our website: /support.Trademarks and LicensesVelvet is not connected with, approved by, or endorsed by the owners of the Fender Rhodes and Wurlitzer trademarks. These names are solely used to identify the electric pianos emulated by this product. References to artists and bands on the following pages are for informational purposes only and do not imply an endorsement or sponsorship of Velvet by such artists or bands.Mac and OS X are trademarks of Apple Inc., registered in the U.S. and other countries. Windows is a registered trademark of Microsoft Corporation in the United States and other countries.All other product or company names are trademarks or registered trademarks of their respective owners.Manual Version 1.0。
微 Focus 模型支持9.0 Eclipse 版本说明书
Micro FocusThe Lawn22-30 Old Bath RoadNewbury, Berkshire RG14 1QNUK© Copyright 2012-2023 Micro Focus or one of its affiliates.MICRO FOCUS, the Micro Focus logo and Modelling Support are trademarks or registeredtrademarks of Micro Focus or one of its affiliates.All other marks are the property of their respective owners.2023-05-15iiContentsMicro Focus Modelling Support 9.0 for Eclipse Release Notes (4)Installation (5)Before Installing (5)Downloading the Product (5)System Requirements (5)Installation Restrictions and Requirements (6)Installing (6)Licensing Information (8)Installing licenses (8)If you have a license file (8)If you have an authorization code (8)To start Micro Focus License Administration (10)To obtain more licenses (10)Updates and Customer Care (11)Further Information and Customer Care (11)Information We Need (12)Creating Debug Files (12)Copyright and Disclaimer (13)Contents | 3Micro Focus Modelling Support 9.0 forEclipse Release NotesThese release notes contain information that might not appear in the Help. Read them in their entiretybefore you install the product.Note:•This document contains a number of links to external Web sites. Micro Focus cannot beresponsible for the contents of the Web site or for the contents of any site to which it might link.Web sites by their nature can change very rapidly and although we try to keep our links up-to-date,we cannot guarantee that they will always work as expected.•Check the Product Documentation section of the Micro Focus Customer Support Documentation Web site for any documentation updates.Product OverviewApplication Workflow Manager (AWM) is an Eclipse framework that provides a modelling component whichenables you to integrate application development tools with your application development workflow withinan Eclipse perspective.AWM includes a number of function packages that provide tool sets for specific application or functionalarea. For example, a function package is provided that enables you to work specifically with Eclipseresources. Another function package provides tools that enable you to work with RESTful Webapplications. AWM enables you to integrate application development tools into the user interface, alongwith specifying the information flow between tools.See the Application Workflow Manager chapter in the Enterprise Developer product help available from theMicro Focus SupportLine Website, https:///documentation/enterprise-developer/.Note: The MVS and ISPF function packages are included in this product. However, as a prerequisitethey require a Micro Focus MFA Server installation. Alternatively, you can use a server on z/OS thatimplements the Micro Focus API, such as IBM's RSE daemon (RSED) which is shipped with an RDzinstallation.4 | Micro Focus Modelling Support 9.0 for Eclipse Release NotesInstallationBefore InstallingDownloading the Product1.Log into the Software Licenses and Downloads (SLD) site at https:///mysoftware/download/downloadCenter.2.Select your account and click Entitlements.3.Search for the product by using any of the available search parameters.4.Click Show all entitlements.5.Click Get Software in the Action column for the product you want to download or update.In the File Type column, you see entries for "Software" for any GA products, and "Patch" for any patchupdates.6.Click Download on the relevant row.System RequirementsHardware RequirementsModelling Support has the following requirements in addition to the requirements of Eclipse. See theEclipse documentation for details of its requirements.In general, most modern machines will have the required processor and available RAM to run the MicroFocus products under Windows effectively. For planning purposes, you should consider having a minimumof 2GB of RAM though Micro Focus recommends at least 4GB of RAM for optimal performance.The disk space requirements for Windows are, approximately 200 MB.Note: This includes the space needed to cache information locally so that you can modify theinstallation without the original source media.Operating Systems SupportedFor a list of supported operating systems, see Supported Operating Systems and Third-party Software inyour product documentation.Note:•Modelling Support for Eclipse installs fully on both 32 and 64-bit Windows platforms.•This product can be installed on earlier versions of Windows but it has not been tested on them.Software RequirementsThe setup file will check your machine for whether the prerequisite software is installed and will install anymissing prerequisites and the product components.Eclipse requirements•The setup file installs Modelling Support into Eclipse.•Modelling Support for Eclipse installs fully on both 64-bit and 32-bit Windows platforms.Installation | 5•Modelling Support for Eclipse supports both the 32-bit and the 64-bit Eclipse.Software requirements on WindowsModelling Support for Eclipse requires:• A 32-bit Java installation if using the 32-bit Eclipse.• A 64-bit Java installation if using the 64-bit Eclipse.See Java Support Restrictions in the product help for any considerations when using Eclipse and Java.Other RequirementsNote: This release requires version 10000.2.990 or later of the Micro Focus License Administrationtool. For local servers, you do not need to install it separately, as the setup file installs a newModelling Support for Eclipse client and a new licensing server on the same machine.If you have a network server, you must update the license server before installing the product as theclient is not able to communicate with license servers of versions older than 10000.2.660. OnWindows, you can check the version of your license server by clicking Help > About in the MicroFocus License Administration tool.Y ou can download the new version of the license server software from the Micro Focus SupportLineWeb site: .Installation Restrictions and RequirementsBefore starting the installation you should consider the following:•Y ou need to be logged in with a user-ID that has write access to the registry structure underHKEY_LOCAL_MACHINE, HKEY_CLASSES_ROOT, and HKEY_CURRENT_USER so the installationsoftware can set the environment appropriately. Y ou also need to be logged on with Administratorprivileges.•Various actions and operations within your COBOL development environment depend on certain Microsoft files distributed in the following packages: the Windows SDK package and the Microsoft BuildT ools package. By default, a standard product installation downloads and installs these. Refer toMicrosoft Package Dependencies to see if these packages are required. If you do not plan to use yourdevelopment tool in a way that will depend on any of these packages, you can run a non-standardinstallation, which will skip their download and installation, thus saving disk space and time taken forinstallation. Refer to Advanced Installation Tasks for details on the available installation options.InstallingT o install Modelling Support for Eclipse as a plug-in to an Eclipse IDE:1.Run the modsupp_90.exe file and follow the wizard instructions to complete the installation.Note: The supported version of Eclipse is 4.24 (2022-06). Visual COBOL and EnterpriseDeveloper cannot coexist on the same machine.2.Start Eclipse, and then click Help > Install New SoftwareThis opens the Install dialog box.3.Click Add.This opens the Add Repository dialog box.4.In the Name field, type Modelling Support for Eclipse.5.Click Archive, and browse to C:\Program Files (x86)\Micro Focus\Modelling Supportfor Eclipse\installer\files\ModelingSupportUpdateSite.zip.6 | Installation6.Click Open.7.Click OK.•If you are installing into Eclipse:•At the Available Software stage, expand Micro Focus, and then check all options except AWM IDz Integration.•If you are installing into IBM Developer for z Systems (IDz):•At the Available Software stage, check Micro Focus.8.Click Next.The installation process calculates requirements and dependencies.•If a component cannot be installed, a solution is presented at the Install Remediation Page stage, click Next.9.At the Install Details stage, click Next.10.Accept the license agreement, and then click Finish.11.Click Restart Now when prompted to restart Eclipse to finish the installation.Note: AWM model files must always be specified and opened with a .taurus suffix.Installation | 7Licensing InformationNote:•This product requires a Micro Focus Enterprise Developer Connect license.•If you have purchased licenses for a previous release of this product, those licenses will alsoenable you to use this release.•If you are unsure of what your license entitlement is or if you wish to purchase additional licenses, contact your sales representative or Micro Focus Customer Care.Installing licensesY ou need either a license file (with a .mflic extension for Sentinel RMS licenses or an .xml extension forAutoPass licenses) or an authorization code which consists of a string of 16 alphanumeric characters(Sentinel RMS licenses only). Y ou need to install AutoPass licenses into the existing Micro Focus LicenseAdministration tool, and not in the AutoPass License Server.If you have a license file1.Start Micro Focus License Administration.2.Click the Install tab.3.Do one of the following:•Click Browse next to the License file field and select the license file (which has an extension of .mflic).•Drag and drop the license file from Windows Explorer to the License file field.•Open the license file in a text editor, such as Notepad, then copy and paste the contents of the file into the box below the License file field.4.Click Install Licenses.If you have an authorization codeNote: Authorization codes are only available with Sentinel RMS licensing.Authorizing your product when you have an Internet connectionNote:•This topic only applies if you have an authorization code. Authorization codes are only available with Sentinel RMS licensing.•It is not possible to install licenses remotely. Y ou must be logged into the machine on which you are installing the licenses.The following procedure describes how to authorize your product using a local or network license server.The license server is set up automatically when you first install the product.To use the GUI Micro Focus License Administration1.Start Micro Focus License Administration.2.Click the Install tab.8 | Licensing Information3.T ype the authorization code in the Enter authorization code field.4.Click Authorize.If you change the name of the machine running your license server after it has granted licenses, thelicenses stop working.To use the command-line Micro Focus License Administration tool1.Start the command-line Micro Focus License Administration tool.2.Select the Online Authorization option by entering 1 and pressing Enter.3.Enter your authorization code at the Authorization Code prompt and then press Enter.Authorizing your product when you don't have an Internet connectionNote: This topic only applies if you have an authorization code. Authorization codes are only availablewith Sentinel RMS licensing.This method of authorization is required if the machine you want to license does not have an Internetconnection or if normal (automatic) authorization fails.To use the GUI Micro Focus License Administration1.Start Micro Focus License Administration.2.On the Install tab, click Manual Authorization.3.Make a note of the contents of the Machine ID field. Y ou will need this later.4.Do one of the following:•If your machine has an Internet connection, click the Customer Care Web link in the Manual Authorization Information window.•If your machine does not have an Internet connection, make a note of the Web address and type it into a Web browser on a machine that has an Internet connection.The Micro Focus Customer Care Manual product authorization Web page is displayed.5.T ype the authorization code in the Authorization Code field. The authorization code is a 16-characteralphanumeric string supplied when you purchased your product.6.Type the Machine ID in the Machine ID field.7.T ype your email address in the Email Address field.8.Click Generate.9.Copy the generated license string (or copy it from the email) and paste it into the box under the Licensefile field on the Install page.10.Click Install Licenses.To use the command-line Micro Focus License Administration toolIn order to authorize your product from the command-line Micro Focus License Administration tool youmust have the following:•Access to a computer which is connected to the Internet.•Y our authorization code (a 16-character alphanumeric string).•The machine ID. T o get this, start the Micro Focus License Administration tool and select the Get Machine Id option by entering 6. Make a note of the "Old machine ID".If you have previously received the licenses and put them in a text file, skip to step 6.1.Open the Micro Focus license activation web page /activation in abrowser.2.Enter your authorization code and old machine ID and, optionally, your email address in the EmailAddress field.Licensing Information | 93.Click Generate.4.Copy the licenses strings from the web page or the email you receive into a file.5.Put the license file onto your target machine.6.Start the Micro Focus License Administration tool and select the Manual License Installation option byentering 4.7.Enter the name and location of the license file.To start Micro Focus License AdministrationTo start the GUI Micro Focus License AdministrationWindows 10From your Windows desktop, click Start > Micro Focus License Manager > LicenseAdministration.Windows 11Click the Start button in the T ask Bar. Use the search field in the Start menu to find andstart License Administration.To start the command-line Micro Focus License Administration tool1.At a command prompt, navigate to:C:\Program Files (x86)\Micro Focus\Licensing2.Type cesadmintool.bat, and press Enter.To obtain more licensesIf you are unsure of what your license entitlement is or if you wish to purchase additional licenses forModelling Support for Eclipse, contact your sales representative or Micro Focus Customer Care.10 | Licensing InformationUpdates and Customer CareOur Web site provides up-to-date information of contact numbers and addresses.Further Information and Customer CareAdditional technical information or advice is available from several sources.The product support pages contain a considerable amount of additional information, such as:•Product Updates on Software Licenses and Downloads, where you can download fixes anddocumentation updates.1.Log into the Software Licenses and Downloads (SLD) site at https:///mysoftware/download/downloadCenter .2.Select your account and click Entitlements.3.Search for the product by using any of the available search parameters.4.Click Show all entitlements.5.Click Get Software in the Action column for the product you want to download or update.In the File Type column, you see entries for "Software" for any GA products, and "Patch" for anypatch updates.6.Click Download on the relevant row.•The Examples and Utilities section of the Micro Focus Customer Care Web site, including demos and additional product documentation. Go to https:///examplesandutilities/index.aspx.•The Support Resources section of the Micro Focus Customer Care Web site, that includestroubleshooting guides and information about how to raise an incident. Go to https:///supportresources.aspxT o connect, enter https:///en-us/home/ in your browser to go to the Micro Focus homepage, then click Support & Services > Support. T ype or select the product you require from the productselection dropdown, and then click Support Portal.Note: Some information may be available only to customers who have maintenance agreements.If you obtained this product directly from Micro Focus, contact us as described on the Micro Focus Website, https:///support-and-services/contact-support/. If you obtained the product fromanother source, such as an authorized distributor, contact them for help first. If they are unable to help,contact us.Also, visit:•The Micro Focus Community Web site, where you can browse the Knowledge Base, read articles and blogs, find demonstration programs and examples, and discuss this product with other users and MicroFocus specialists. See https://.•The Micro Focus Y ouT ube channel for videos related to your product. See Micro Focus Channel on Y ouTube.https:///en-us/resource-center/webinarUpdates and Customer Care | 11Information We NeedIf your purpose in contacting Micro Focus is to raise a support issue with Customer Care, you shouldcollect some basic information before you contact us, and be ready to share it when you do.Click here to see the Preparing to Raise a Support Case topic on the Product Documentation pages onMicro Focus Customer Care.Creating Debug FilesIf you encounter an error when compiling a program that requires you to contact Micro Focus CustomerCare, your support representative might request that you provide additional debug files (as well as sourceand data files) to help us determine the cause of the problem. If so, they will advise you how to createthem.12 | Updates and Customer CareCopyright and Disclaimer© Copyright 2023 Micro Focus or one of its affiliates.The only warranties for this product and any associated updates or services are those that may bedescribed in express warranty statements accompanying the product or in an applicable license agreementyou have entered into. Nothing in this document should be construed as creating any warranty for aproduct, updates, or services. The information contained in this document is subject to change withoutnotice and is provided "AS IS" without any express or implied warranties or conditions. Micro Focus shallnot be liable for any technical or other errors or omissions in this document. Please see the product'sapplicable end user license agreement for details regarding the license terms and conditions, warranties,and limitations of liability.Any links to third-party Web sites take you outside Micro Focus Web sites, and Micro Focus has no controlover and is not responsible for information on third-party sites.Copyright and Disclaimer | 13。
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Java Modelling Tools:an Open Source Suite for Queueing Network Modelling and Workload AnalysisMarco Bertoli,Giuliano Casale,Giuseppe Serazzi∗Politecnico di Milano-DEI,Via Ponzio,34/5,I-20133Milan,Italy,{bertoli,casale,serazzi}@elet.polimi.itAbstractThe Java Modelling Tools(JMT)is an open source suite for performance evaluation,capacity planning and mod-elling of computer and communication systems.The suite implements numerous state-of-the-art algorithms for the ex-act,asymptotic and simulative analysis of queueing network models,either with or without product-form solution.Mod-els can be described either through wizard dialogs or with a graphical user-friendly interface.The suite includes alsoa workload analysis tool based on clustering techniques.1.IntroductionThe use of modelling techniques for performance eval-uation of computer and communication systems is a well known methodology for capacity planning,tuning,opti-mization and procurement studies.This process requires the use of analytical or simulative methods,often based on queueing network models.Despite the numerous research efforts devoted in the past to the efficient solution of these models[3],there are very few free open-source Java suites for conducting a complete performance evaluation study based on queueing networks,from the workload characteri-zation to the modelling phases.In this paper we introduce the Java Modelling Tools (JMT),a new integrated performance evaluation suite, based on queueing network models,distributed under the GNU General Public Licence.The suite has been devel-oped in the Java language and incorporates an XML data layer that enables full portability across different hardware and software platforms(e.g.,Linux,Windows,Mac).JMT has been developed with two main objectives:(1)to sup-port performance evaluation scientists and practitioners in the analysis of complex systems;(2)as a didactic tool to ∗This work was partially supported by the Italian FIRB-Perf project.help students to understand the basic principles of perfor-mance evaluation and modelling.In the following we sum-marize the fundamental modules of the suite,focusing on their main features.2.Suite Main FeaturesThe JMT suite is composed offive tools that support dif-ferent analyses frequently used in capacity planning studies. The organization of the suite is depicted in Figure1.The main features of each tool follows.JSIM:a discrete-event simulator for the analysis of queue-ing network models.An intuitive sequence of wizard win-dows helps specifying network properties.The simulation engine supports several probability distributions for char-acterizing service and inter-arrival times,e.g.,exponential, hyperexponential,uniform,Erlang and Pareto.Random number generation is based on the Mersenne twister engine [4].It is also possible to reproduce a given sequence of ran-dom numbers,in order to simulate real workloads from col-lected logfiles.Load-dependent strategies using arbitrary functions of the current queue-length can be specified.JSIM supports state-independent routing strategies,e.g., Markovian or round robin,as well as state-dependent strate-gies,e.g.,routing to the server with minimum utilization,or with the shortest response time,or with minimum queue-length.Performance indices like throughputs,utilizations,re-sponse times,residence times,queue-lengths are evaluated. The simulation engine supports several extended features not allowed in product-form models,namely,finite capac-ity regions(i.e.,blocking),fork-join servers,and priority classes.Finite capacity regions may include either shared or class-specific population constraints.The analysis of simulation results employs on-line tran-sient detection techniques based on spectral analysis.What-if analyses,where a sequence of simulations is run for dif-ferent values of parameters,are also possible.MethodSolutionModel DefinitionMVA TextualModel DefinitionTextualGraphicalJSIM JMODEL JMVA JABA JWATFigure 1.JMT Suite OrganizationFigure 2.JMODEL Graphical Workspace JMODEL:a graphical user-friendly interface for the sim-ulator engine used by JSIM.It integrates the same func-tionalities of JSIM with an intuitive graphical workspace as shown in Figure 2.This allows an easy description of network structure,as well as a simplified definition of the execution features like blocking regions.Further,network topology can be saved for later use,e.g.,for classroom demonstrations or homeworks.JMV A:meant for the exact analysis of single or multiclass product-form queueing network models,either processing open,closed or mixed workloads.The classic MV A solu-tion algorithm is used [5].Network structure is specified by textual wizards,with conversion functions from probabil-ities to average visit ratios (and viceversa).The computed performance indices are the same of JSIM.What-if analyses are allowed.JABA:a tool for the identification of bottlenecks in closed product-form networks using efficient convex hull algo-rithms [1].The tool supports models with up to three job classes.It is possible to identify potential bottlenecks corre-sponding to the different mixes of customer classes.Models with thousands of queues can be analyzed efficiently.The saturation sectors,i.e.,the mixes of customer classes that saturate more than one resource simultaneously,are identi-fied.JW AT:supports the workload characterization phase,with emphasis on Web log data.Some standard formats for in-put file are provided (e.g.,Apache HTTP log files),and customized formats may also be specified.The imported data can initially be analyzed using descriptive statistical techniques (e.g,means,correlations,pdf histograms,box-plots,scatterplots),either for univariate or multivariate data.Algorithms for data scaling,sample extraction,outlier fil-tering,k-means and fuzzy k-means clustering for identify-ing similarities in the input data are provided.These tech-niques allow to determine cluster centroids,and then esti-mate mean workload and service demands to be used for model parametrization.The tool includes also an interface to the similarity clustering tool CLUTO [2].3.ConclusionsJava Modelling Tools is a comprehensive suite for sys-tem modelling using queueing networks and workload char-acterization.The latest JMT release,including binaries,user manual,examples and source code can be downloaded from the project homepage/The participation to this project is open to the performance community.References[1]G.Casale,G.Serazzi.Bottlenecks Identification in Mul-ticlass Queueing Networks using Convex Polytopes.Proc.ACM MASCOTS 2004,223–230,2004.[2]G.Karypis,E.H.Han,V .Kumar.CHAMELEON:A Hi-erarchical Clustering Algorithm Using Dynamic Modeling.IEEE Computer ,32(8):68–75,1999.[3]venberg.A perspective on queueing models of com-puter performance.Perf.Eval.,10(1):53–76,1989.[4]M.Matsumoto,T.Nishimura.Mersenne twister:A 623-dimensionally equidistributed uniform pseudorandom num-ber generator.ACM TOMACS ,3–30,1998.[5]M.Reiser,venberg.Mean-value analysis of closedmultichain queueing networks.J.ACM ,27(2):312–322,1980.。