Workshop 2 QuestionsBMAN21040 Intermediate Management Accounting

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Microsoft Business Solutions-Axapta 问卷模块文档说明书

Microsoft Business Solutions-Axapta 问卷模块文档说明书

The Microsoft Business Solutions −Axapta Questionnaire module allows you to design effective questionnaires quickly and simply without any technical experience. Business managers, human resources personnel and administrative personnel can design and implement basic questionnaires in a matter of minutes. The Questionnaire module supports Web integration, so questionnaires can be deployed via a corporate intranet as well as public websites.Individual questions can be accompanied by instructions to advise the user. They can also bedesigned to handle multiple choice answers as well as free-text answers. Questions can be deliveredsequentially or randomly. Rich media such as pictures, audio and video can also be used to accompany questions.Support for scheduling the questionnaire process It is easy to schedule, or plan, questionnaires for a range of audiences including employees, customers and job applicants. For example, you can design a survey for participants on a particular course by searching in the course table of your database. The planning functionality also offers easy administration of mail correspondence with target groups inside and outside your organisation.Microsoft Business Solutions −Axapta Questionnaire is a powerful tool for designing, constructing and analysing surveys, which also turns raw data into useful information.Key Benefits: • Easy design and execution of questionnaires • Deploy questionnaires via corporate intranets and websites • Turn raw data into useful information through analysis Key Features: • Simple step-by-step approach to questionnaire design • Integrated with the Web • Flexible analytical toolsDesign effective questionnaires quickly and simplyMultiple usesThe Questionnaire module can be used for a range of activities including customer or employee-satisfaction surveys, job development dialogue, ethical and environmental measurements and management and staff testing.Store all your data in one placeThe Questionnaire module allows you to store your knowledge from surveys in the same system that you store your daily business interaction knowledge. This simplifies retrieval and reduces transaction costs. You no longer have to search through a number of spreadsheets or data conversions from other survey systems.As the questionnaire module is an integral part of Axapta the system provides extensive help with finding and addressing target audiences for questionnaires, as long as they are already listed in the system. Customers, vendors, participants in courses, your own employees and job applicants can be selected from your system. You don’t have to pick out specific contact people or course participants but you can search everybody who has ‘Quality Assurance Manager’ as their job title, for example.Analysis of resultsAnalysis is mandatory for large volume evaluations so the Questionnaire module supports a large number of statistical tools such as calculation and graphical functions, including Pivot Graphics.Analyse results from questionnaires immediatelyYou can make a calculation on any data set in a questionnaire, anywhere in a response hierarchy. There is demographic support for all employees, via the Axapta Human Resource (HRM) module, so that you can cross-reference employee groups across organisational dimensions such as gender, age, length of employment in company, working place, role, salary level and so on.For respondents outside of your organisation, demographic data can be cross-tabbed with respondent master data from the Axapta Customer Relationship Management (CRM) module. The information in Axapta is also integrated with Microsoft Excel, which allows for even greater analysis.Compare new data with earlier resultsIf surveys are repeated, you can compare results, as earlier responses are stored as business transactions in Axapta. This makes it easier to compare results and enables variance and development tracking.Questionnaires can also be used as tracking for management. Whether it is leadership/manager evaluation or business excellence surveys, the results can be easily measured in the Balanced Scorecard module. Data is easy to analyse from within the module or via an On-Line Analytical Processing (OLAP) interface in third party software.One evaluation toolThe questionnaire system supports all business functions that are represented in Axapta, and works closely with modules such as CRM – Telemarketing, HRM, Employee Development for Enterprise Portal and Balanced Scorecard. This means that the module can be used to communicate with your customers, your vendors or your suppliers. You have one evaluation tool across your entire business, and it is ready to cross analyse with your existing business information.Easy to useTraining is simple and inexpensive. As your employees are already familiar with the user interface and terminology, they only need one training course. At the same time, employees across the organisation can share knowledge on how to design and execute surveys.Microsoft Business Solutions−Axapta Enterprise Portal is a Web solution which seamlessly connects your employees, customers and vendors with your business while reducing information overload and making tasks less complex.• Anytime, anywhere access to data• Connect instantly with only Web access• Intuitive Web layout and browser functionality for walk-up usage• Greater visibility for everyone• High ROI - deploy Intranet, Extranet, and Web solution as needed without hassle• No need to buy third party softwareContact your partnerShould you wish to find out more about Microsoft Business Solutions—Axapta, please contact our Internal Sales Team on 0870 60 10 100 where they will be pleased to put you in contact with a certified Microsoft Business Solutions Partner. If you are already a Microsoft Business Solutions customer please contact your Certified Microsoft Business Solutions Partner.About Microsoft Business SolutionsMicrosoft Business Solutions, which includes the businesses of Great Plains®, Microsoft bCentral™ and Navision a/s, offers a wide range of business applications designed to help small and midmarket businesses become more connected with customers, employees, partners and suppliers. Microsoft Business Solutions applications automate end-to-end business processes across financials, distribution, project accounting, electronic commerce, human resources and payroll, manufacturing, supply chain management, business intelligence, sales and marketing management and customer service and support. More information about Microsoft Business Solutions can be found at:/uk/businesssolutionsAddress:Microsoft Business SolutionsMicrosoft CampusThames Valley ParkReadingBerkshire RG6 IWG***********Key Features DescriptionEASY TO USE • Intuitive layout and structure• User-adjustable menu• User-adjustable layout of master files and journals• Windows commands incl. ‘copy and paste’ from and to Axapta• Direct access to master files from journals• Advanced sorting and filter options• Built-in user help including an integrated manual• Option to mail and fax directly from Axapta• Application can be run in different languagesDESIGN AND EXECUTION • Rapid design and deployment of surveys• Individual questions can be accompanied by instructions to advise the user• Each question is linked to an answer mode identified by text, date, numeric value oran answer collection defined by the questionnaire administrator• It is possible to enable free-text answers to any type of question• Response options can be openly defined• Multiple choice or data types• When designing a questionnaire, the questions can be delivered sequentially or inrandom order• Possible to show the percentage of questions in a specific questionnaire that need tobe answered in order to obtain a valid result• Questions can be accompanied by rich media (pictures, audio video, etc.)• Hierarchical questions can be validated• Response groups can be presented sequentially or randomly• Management of access control and user profilesSCHEDULING • Management of questionnaire planning• Easy planning of employees and other individuals in surveys related to applicants,business partners, course participants, networks or organisations• Mail correspondence with all respondents before, during and after response• Online tracking of respondents and responsesREPORTS AND QUESTIONNAIRE ANALYSIS • Response history by questionnaire and individual• Advanced statistical analysis tool supporting: SUM, AVG., MIN., MAX. COUNT, variance and standard deviations• Statistics for % points or number of correct answers• View statistics on individuals including age, geography, etc.• Graphical support and use of pivot table and pivot graphics, integrated to Microsoft Excel• Feedback analysis for 360 degree feedback and other evaluations• Result report, answer report and ‘wrong answers’ reportQUESTIONNAIRE WEB PORTAL • Web execution• Viewing and analysing results onlineQUESTIONNAIRE AND ERP IN ONE • Unique planning and tracking with questionnaires linked to all Axapta processes• Specific integration to CRM – Tele-Marketing• Specific integration to HRM and Employee Development for Enterprise Portal• Specific integration to Balanced ScorecardData summary sheetSystem RequirementsTO OBTAIN ALL OF THE FEATURES MENTIONED IN THIS FACT SHEET, THE FOLLOWING MODULES AND TECHNOLOGIES ARE REQUIRED: • Microsoft Business Solutions−Axapta 3.0• Microsoft Business Solutions−Axapta Questionnaire I• Microsoft Business Solutions−Axapta Questionnaire II• Microsoft Business Solutions−Axapta Enterprise Portal Framework• Microsoft Business Solutions−Axapta Employee role• Microsoft Business Solutions−Axapta Questionnaire for Enterprise Portal07/04/2003© 2003 Microsoft Corporation. All rights reserved.Microsoft Business Solutions includes the business of Great Plains, Microsoft bCentral™ and Navision A/S。

the following section assignments of model -回复

the following section assignments of model -回复

the following section assignments of model -回复The section assignments of the model refer to the specific tasks or responsibilities assigned to different parts or components of the model. These assignments help in ensuring an organized and efficient functioning of the model. In this article, we will provide a step-by-step explanation of each section assignment of the model, elaborating on their importance and how they contribute to the overall operation.1. Data collection and preprocessing:The first assignment deals with collecting relevant data for the model and preparing it for analysis. This involves identifying the sources of data, ensuring its quality and reliability, and converting it into a suitable format for further analysis. Proper data collection and preprocessing are crucial for the accuracy and effectiveness of the model.2. Feature selection and engineering:In this assignment, the focus is on selecting the most relevant features or variables for the model and engineering new features if required. Feature selection helps in reducing the dimensionality of the data and improving the model's efficiency. Feature engineering involves creating new features by combining or transformingexisting ones to capture additional information or patterns.3. Model building and training:The next assignment involves building the actual model using the selected features and training it on the prepared dataset. This step includes selecting the appropriate algorithms and techniques based on the problem at hand and the available data. The model is trained using labeled data to learn the underlying patterns and relationships.4. Model evaluation and validation:Once the model is trained, it needs to be evaluated to assess its performance and validity. This assignment involves various metrics and techniques to evaluate the model's accuracy, precision, recall, and other relevant parameters. Cross-validation techniques are often used to validate the model's generalizability and robustness.5. Model optimization and tuning:In this assignment, the focus is on improving the model's performance by optimizing its parameters and tuning the algorithms used. Different optimization techniques such as grid search or Bayesian optimization can be employed to identify the optimal set of hyperparameters for the model. This step involves experimentation and fine-tuning to achieve the best possible results.6. Model deployment and integration:The penultimate assignment deals with deploying the trained model into a production environment where it can be utilized for real-time predictions or decision-making. This step involves integrating the model with existing systems, creating relevant APIs or interfaces, and ensuring its compatibility and scalability. Continuous monitoring and maintenance are also essential to ensure the model's ongoing performance and accuracy.7. Model interpretation and communication:The final assignment focuses on interpreting and communicating the model's results and findings to stakeholders and decision-makers. This step involves translating complex technical jargon into easily understandable insights and recommendations. Visualization techniques and storytelling methods can be employed to effectively communicate the model's outcomes and implications.In conclusion, the section assignments of the model encompass a series of steps that collectively form a comprehensive approach to data analysis and modeling. Each assignment plays a crucial role in ensuring the model's accuracy, efficiency, and usability. By following these assignments in a systematic manner,organizations can harness the power of data and make informed decisions that drive growth and success.。

Ellis-Corrective-Feedback

Ellis-Corrective-Feedback

T tries to elicit correct pronunciation and the corrects
S: alib[ai]
S fails again
T: okay, listen, listen, alb[ay] T models correct pronunciation
SS: alib(ay)
Theoretical perspectives
1. The Interaction Hypothesis (Long 1996) 2. The Output Hypothesis (Swain 1985;
1995) 3. The Noticing Hypothesis (Schmidt
1994; 2001) 4. Focus on form (Long 1991)
2. In the course of this, they produce errors. 3. They receive feedback that they recognize as
corrective. 4. The feedback causes them to notice the errors they
first row. (uptake)
The complexity of corrective feedback
Corrective feedback (CF) occurs frequently in instructional settings (but much less frequently in naturalistic settings)
Commentary
Initial focus on meaning Student perceives the feedback as corrective

optimal workshop 介绍

optimal workshop 介绍

英文回答:Optimal Workshop is a specialized software designed to improve the user experience of global information stations and applications to help users optimize their product。

The software provides a range of tools, including user research,information architecture, card sequencing and tree testing,aimed at helping users to enhance the user experience of their products。

Through Optimal Workshop, users can conduct user research activities such as online surveys, user interviews and user insights to gain insight into users ' needs and behaviour。

Users can also use the software to create information architecture and optimize the information architecture of global information stations and applications through card sequencing and tree testing to enhance user experience。

From a political perspective, Optimal Workshop provides users with aprehensive solution that helps them to optimize the user experience of their products and enhances user satisfaction。

How-to-Summarize(共14张)

How-to-Summarize(共14张)
text is about. • Try to be as specific as possible about the topic.
第6页,共14页。
Step 2: Purpose
• What is the purpose of the text. • Does it tell a story (narrate)? Inform? Persuade
or raise readers' awareness of an issue?
第7页,共14页。
Step 3: What is the Thesis?
• Look for the thesis the topic).
• Look first in the introduction, then in the conclusion;
• A summary of a work's thesis and supporting points should be written in your own words.
第11页,共14页。
Tips
• When summarizing, avoid examples, asides, analogies, and rhetorical strategies.
• Only quote and paraphrase words and phrases that you feel you absolutely must to reproduce exactly the author's or authors' full meaning.
• Keep in mind that your summary must fairly represent the author's or authors' original ideas.

Systemdesigninterview:howtodesignachatsystem(。。。

Systemdesigninterview:howtodesignachatsystem(。。。

Systemdesigninterview:howtodesignachatsystem(。

System design interview: how to design a chat system (e.g., Messenger, WeChat or WhatsApp)Methodology: READ MF!For system design interview questions, normally we should follow the "READ MF!" steps. You can easily remember this as "Read! Mother Fucker!", similar to , with an attitude to your interviewer (Because if I can design this complicated system in 60 minutes, why would I waste my time interviewing here? JK)READ MF! (Requirement, Estimation, Architecture, Details, Miscellaneous, Future)1. Requirement clarification, keep it simple first and make some assumptions to make your life easier, later we can drill down orimprove.2. Estimation on scalability (QPS, storage size, network bandwidth per sec) the scalability determines the final architecture since weshould not over engineering things, keep it simple first3. Design system Architecture & Layers, major services and responsibilities, front-end/edge layer, service layer & storage layer4. Drill down Details into each component, e.g, data models on storage layers, API interface between micro services5. Miscellaneous. Talk about design trade-offs, bottlenecks, peak traffic handling, failover plan, monitoring & alerting, security concerns.Talk things that you are most comfortable with6. Future work on if new features are added, how system would be extended to support themKey designs and terms(On OSI 7, application layer) is more suitable for real time chatting over HTTP due to the bidirectional nature (HTTP long polling is also not efficient)Maintaining connection efficiently. We should reuse those socket connections since it's not efficient to recreate them (still under IP&TCP), also utilize each machine in Chat Service to host more connections. In real world, WhatsApp tech stack + can host 1 Million connections per commodity host.Data storage solutions. For large volumn writes and range query (for latest messages), we might not want to go with relational database (write is not super efficient for large scale) and we want to read from memory as well. We could cache over a relational DB but we can also choose (), ) or evenSent, Delivered & Seen State are easy given the above graph. Sent is when Chat Service returns success. Delivered when message is written into the main coveration storage, Seen is when user pulls the latest chat history or connection is open chat servicesuccessfully pushed the message. Tying is simply a listener on the client side.Baozi Youtube VideoExisting Resources (Credits to original authors)on F8 about WhatsApp Design []Culture is important! 57 engineers in total to reach 1B WhatsApp users, including clients and server sidesDesign principle: Just enough engineering. Only provide the most essential features. E.g., simple layers between services, go as native as possible for performance gains, simple data replication by keeping a hot copySmall number of servers, each server support 1M connections. Not just about cost saving, also about easier to maintain (since you have less servers), How to scale to Millions of Simultaneous Connections: ,Transient messages when users are offline: WhatsApp won’t delete those messages unless all recipients get it High Scalability:。

Conferences, workshops and journals

Conferences, workshops and journals

INTELLIGENTTRANSPORTATIONSYSTEMS/itsIEEE ITS SOCIETY NEWSLETTEREditor:Prof.Bart van Arem,b.vanarem@utwente.nl Vol.9,No.2,June2007In This IssueSociety News3Message from the Editor:Bart van Arem (3)Message VP Member Activities:Christoph Stiller (3)Message VP Technical Activities:Daniel Zeng (4)Bookreview:Algirdas Pakstas (6)IEEE Trans.on ITS Report:Alberto Broggi (8)IEEE Transactions on ITS-Index:Simona Bert´e (10)Technical Contributions17Second Generation Controller Interface Device Design,byZhen Li,Michael Kyte,Brian K.Johnson,RichardB.Wells,Ahmed Abdel-Rahim and Darcy Bullock.17Research Programs25Research Review,by Angelos Amditis (25)Conferences,Workshops,Symposia29By Massimo Bertozzi and Alessandra Fascioli (36)THEIEEE INTELLIGENT TRANSPORTATION SYSTEMSSOCIETY——————————————President2007:................Fei-Yue Wang,CAS,China and U.of Arizona,Tucson,AZ85721,USA President Elect2007:William T.Scherer,University of Virginia,Charlottesville,VA22904-4747,USA Vice President Financial Activities:..........Sudarshan S.Chawathe,University of Maine,Orono,ME04469-5752,USA Vice President for Publication Activities:..........Jason Geng,Rockville,MD20895-2504,USA Vice President for Conference Activities:..Umit Ozguner,Ohio State University,Columbus,OH43210,USA Vice President Technical Activities:..................Daniel Zeng,University of Arizona,Tucson,AZ85721,USA Vice President Administrative Activities:......Daniel J.Daily,University of Washington,Seattle,WA98195,USA Vice President Member Activities:........Christoph Stiller,Universit¨a t Karlsruhe,76131Karlruhe,Germany Transactions Editor:.....................Alberto Broggi,Universit`a di Parma,Parma,I-43100,Italy Newsletter Editor:...Bart van Arem,University of Twente,Enschede,NL-7500AE,The NetherlandsCOMMITTEESAwards Committee:Chip White(Chair):...................................cwhite@ Conferences and Meetings Committee:Umit Ozguner(Chair):..............u.ozguner@ Constitution and Bylaws Committee:Daniel J.Dailey(Chair):...............d.dailey@ Fellow Evaluation Committee:Petros Ioannou(Chair):..........................ioannou@ Finance Committee:Sudarshan S.Chawathe(Chair): History Committee:E.Ryerson Case(Chair):......................................r.case@ Long Range Planning Committee:Pitu B.Mirchandani(Chair):...........pitu@ Member Activities Committee:Christoph Stiller(Chair):......................stiller@a.de Nominations and Appointments Committee:William T.Scherer(Chair):.....w.scherer@ Publications Committee:Jason Geng(Chair):...............................jason.geng@ Standards Committee:Jason Geng(Chair):..................................jason.geng@ Student Activities Committee:Shuming Tang(Chair):..........................sharron@ Technical Activities Committee:Daniel Zeng(Chair):...................zeng@Society NewsFrom the Editorby Bart van AremDear reader of this newsletter,It is my pleasure to present to you the second newsletter of the ITS Society in2007.In this newsletter you willfind the usual content.In particular I would like to ask your attention for the technical activities of the ITS Society:there are now11technical committees covering a wide range of ITS topics and3more committees will be formed.You can learn more about these activities and how you can join in this newsletter.After this newsletter,Charles Herget(c.herget@)will be the new Editor in Chief of the newslet-ter.It has been my pleasure to serve the IEEE ITS Society during the past3years.In these years,the production of the newsletter was organized in a more professional way by setting up an Editorial Board and introducing the book review and research review sections.The user needs survey that we conducted shows that you the newsletter,The number of downloads of the newsletter has been steadily growing from1,000 in2005to about1,500now.I want to thank you as a reader for your appreciation,the ITS Society for their confidence and Dorette Alink-Olthof for the technical production and layout and Rob Quentemeijer for maintaining the e-mail list.I wish you the best!Bart van AremMessage from the VP Member Activitiesby Christoph StillerMessage from the VP of Member Activities by Christoph StillerMeanwhile,the IEEE Intelligent Transportation Systems Society(ITSS)has become a well established authority in the ITSfield.Every month,new professionals join us,thus improving their network with inter-disciplinary experts which is a keystone for a successful carreer.Since last year the ITSS promotes young as well as experienced engineers in ITS through its award pro-gramme.The following four ITSS awards will be presented at the IEEE Intelligent Transportation Systems Conference in Seattle this autumn.1.IEEE ITSS Best Ph.D.Dissertation Award2.IEEE ITSS Best Practice Award for Engineers3.IEEE ITSS Technical Career Achievement Award4.IEEE ITSS Leadership Award for Government,Institutes,and ResearchI am personally looking forward to see the winners of these awards at the ITSC conference in Seattle Sep. 30-Oct.3,2007!IEEE ITSS MEMBERSHIP:OPENING THE WORLD OF ITS TECHNOLOGYRemember to renew Your Membership for2007Join the IEEE Intelligent Transportation Systems Society ITSS membership includes the Transactions on ITS:/renewMessage from the VP Technical Activitiesby Daniel ZengDear Colleagues,I would like to take this opportunity to update you about ITSS Technical sub-Committees(TCs).These TCs,organized by ITS subject topics,are a central part of the ITSS Technical Activity Board(TAB).They are expected to promote various areas of ITS research by organizing special sessions at the ITSS-sponsored conferences,editing special sections/issues for the Transactions and the Newsletter,and pursuing other tech-nical activities with partners within or outside of the ITSS.Through efforts in the past couple of years,ITSS has extended the coverage of its TCs significantly.Now it has11TCs:•Mobile Communication Networks•Intelligence and Security Informatics for Transportation Systems•Artificial Transportation Systems and Simulation•Logistics and Services•Railroad Systems and Applications•ITS for Air Traffic•Communication Networks•Mechatronic and Embedded Systems in ITS•Port Automation and Management•Vehicle Safety Technologies and Applications•Software Infrastructure in ITSMany TCs have been very active in organizing ITSS events including both ITSS-sponsored conferences and special sessions within ITSS main events.They have also done a superb job reaching out to other profes-sional groups for joint technical activities.These efforts are certainly greatly appreciated by the ITSS and its members!We are continuing the expansion of the TC coverage.In the short term,we are hoping to form3more TCs covering the following critical areas:•Traffic and Travel Management•Public Transportation Management•Intelligent Water Transportation SystemsWe are encouraging established researchers in these areas to take the lead in setting up these TCs and certainly welcome our members to participate actively in these TCs.Please drop me an email atzeng@ if you have an interest.Of course,other suggestions about future ITSS technical activities are always welcome as well.Enjoy your summer!Bookreviewby Algirdas Pakstas London Metropolitan UniversityBook Review:Parking Management Best PracticesBy Todd LitmanReviewed by Dr.Farhi Marir,Knowledge Management Research Group,London Metropolitan Univer-sityThis book is written by Todd Litman who is the executive director ofthe Victoria Transport Policy Institute,an independent research organi-zation dedicated to developing innovative solutions to transport problems.His research is used worldwide in transport planning and policy analy-sis.In this book,Litman puts in writing his experience of best prac-tice in parking management,which is a major issue for a large numberof stake holders of parking space;the car drivers who is not happy whenthere is no parking space,the government which can not afford to main-tain large number of parking space,businesses who are not happy becausethey loose their customers when there is not enough parking space,thelocal communities who are asking for better land use and better environ-ment.The book in its introduction put forward strong arguments to the stakeholders that the solution to this conflict is not about providing abundantand free parking spaces but it is about managing efficiently these parkingspaces instead.The author presents a variety of strategies that encouragemore efficient use of existing parking facilities,improve the quality of serviceprovided to parking facility users and improve parking facility design.He also argues that the strategies put forward can help address a wide range of transportation problems,land use development,economic,and environmental objectives.The author devoted292pages in this book(8Chapters,Glossary and Index)to consolidate his strate-gies and present parking management best practices.Chapter1(Introduction)emphasises that parking is an important component of the transportation system. It presents the benefits of better management of parking space on individual,businesses and communities. It also presents different strategies for parking facilities efficiency and the parking management principles. Then,in Section two,the author emphasises that parking management represents a paradigm shift from the old paradigm which strives to maximise supply and minimise price to the new paradigm which strives to provide optimal parking supply and price.It consolidates these arguments by providing summaries of cost benefit analysis.Based on this paradigm shift and the results of the cost benefit analyses,the third Section redefines the parking problem supported by an extensive comparison of the increased supply against management solutions.Chapter2(How Much is Optimal?)focuses on how to achieve the objective of the new paradigm in terms of optimal parking supply and optimal pricing.In thefirst Section of this Chapter the author highlights the problem of the planner of the parking supply who,instead of using economic theory to determine optimal parking supply to satisfy the consumers,relies on recommended minimum standards published by profes-sional organisations.Although these standards seem rational and efficient,they are developed based onvarious biases that drive towards excessive parking supply.In Section two and three,the author presents conventional standards limitations and the evidence that they lead to excessive parking supply.Then in Section four,the author presents better ways that determine how much parking to supply.He argues that it will be more efficient to use efficiency-based standards that take into account specific needs of each location and its geographic,demographic,and economic factors.He backed this Chapter with16references and information resources.In Chapter3(Factors Affecting Parking Demand and Requirements),the author argues that many parking management strategies use these factors to increase efficiency and reduce the supply of parking needed at a particular location.In Section one,it is discussed how parking demand is affected by parking facility location,type and design and how this compares with other nearby portions.In Section two it is analysed how the geography factor is affecting parking demand.For instance,residents of communities with more diverse transportation systems tend to own fewer cars and take fewer vehicle trips than in more automobile-dependent areas.The third Section is devoted to the demographic factors,which affects vehicle ownership and use where for instance communities composed of students,renters,elderly people with disability tend to own fewer cars.In the last three Sections the author discusses in details how the pricing and regulations, parking mobility management programme and time period affect the parking demands.This Chapter ends with evaluation of multiple factors and33references and information sources used by the author to consoli-date his discussion.In Chapter4(Parking Facility Costs),the author emphasises that the major benefit of parking management is the ability to reduce various parking costs.He states that the magnitude of saving is an important factor when it comes to the evaluation of parking management strategies.In thefirstfive Sections of this Chapter, the author discusses the costs of parking space in terms of land use,construction of above ground parking, operation and maintenance of parking space,transaction such as cost for equipment,signs,attendants and other associated costs.In the Section seven and eight,the author presents the total and the sunk costs for parking and put some arguments that if an efficient parking management is in place it does not only reduce these costs but provides indirect benefits.In the last three Sections,the author presents an extensive comparisons between parking costs with total development costs and other transaction costs and he also highlights the implication of under priced costs.This Chapter ends with18references and information resources.Chapter5(Parking Management Strategies)is the largest Chapter where three strategies are described and evaluated extensively:strategies that increase parking facilities efficiency,strategies that reduce park-ing demand and support strategies.Each strategy is described in details including its impacts on parking demand and requirements,its benefit,costs and consumer impacts,where it could be best applied,how it could be implemented and its lists of useful reference and source of additional information.This Chapter is the core of this book where the author lays out his extensive experience and best practice that could be used by planners to implement an efficient parking management strategy.In this Chapter there are109references and information sources for the strategies that increase parking facilities efficiency,102references and infor-mation resources for strategies that reduce parking demand and76references and information resources for support strategies.Chapter6(Developing an Integrated Parking Plan)provides a clear and concise methodology for developing an integrated parking plan that includes an optimal combination of complementary management strategies. It describes the steps for an efficient planning process,providing leadership for innovation and cost benefits analysis in terms additional income,cost saving and increased benefits to users and community.These steps are enhanced with real world example to support the planner in his decisions.This Chapter ends with15 references and information resources.Chapter7(Evaluating Individual Parking Facilities)equips the planner with tools which can help to evalu-ate specific parking facilities in terms of various parking performance indicators and management strategies. This Chapter is enriched with many examples of well designed and efficiently managed parking facilities in contrast to unattractive and poorly managed parking facilities.This Chapter is another additional incentiveand supports the planner for better innovation when there is a need for planning or designing new parking facilities.This Chapter ends with16references and information resources.Chapter8(Examples)is devoted to description of examples/case studies of the various types of parking management.The study includes the description of the situation,a discussion on how practically the park-ing management could be applied,and also the list of appropriate parking management strategies best suited for that situation.This Chapter ends with16references and information resources.Glossary contains a rich set of terms related to Parking Management.Additional Chapter of References contains46references and information resources,which are relevant to the whole area considered in this book.The book is ended with Index on7pages.Parking Management Best Practices,By Todd Litman2006,292p.,Hardcover,ISBN:978-1-932364-05-7Publisher’s recommended price:69.95USDReport on IEEE Trans.on Intelligent Transportation Systems by Alberto BroggiTransactions EiC report,updated June1,2007Number of submissions:The number of submissions is increasing:167in2004,157in2005,234in2006,and97in thefirst5 months of2007.Rapid posting:All papers appear on Explore before being printed,thanks to rapid posting.Authors have expressed interest in this way of disseminating their results independently of the actual publication.Please be advised that authors can post their papers on their websites provided they add the specific disclaimer supplied by IEEE.Special Issues:The following special issues are under way:-special issue on On-the-road Mobile Networks-special issue on ITSC06Type of accepted manuscripts:From Jan1,2007,T-ITS accepts the following type of manuscripts:-regular papers-short papers(formerly known as’technical correspondences’)-survey papers(formerly known as’reviews’)-practitioners papersMaximum number of pages:From the2007September issue,the policy on the maximum number of pages will change:regular papers will be allowed10pages,short papers and practitioners papers6,while there will be no limit to survey papers. Current status:The attachedfigure shows:in blue the number of papers submitted in each month from April2003(when we switched to electronic submission),and in red the number of papers still without a decision;this means that either thefirst submission did not come to an end,or that a new revision is currently under evaluation. Thefigure shows that the trend is positive and,a part from isolated cases,all submitted papers receive a notification in a reasonably short time.IEEE Trans.on Intelligent Transportation Systems-Indexby Simona Bert´eWe are happy to present you an extension of this section in which you normally canfind the titles and abstracts of the upcoming issue of our Transactions.To go directly to the online Transactions Table of Contents,click on”Index”above.In addition we will give you the index of the past issue including direct access using a hyperlink.By using this link IEEE ITSS members have full access to the papers.Non-members can browse the abstracts.We hope you will appreciate this new feature.Vol.8,No.2,June2007:this issue is a collection of two special sections(on ITSC05and on ICVES05)•Video and Seismic Sensor-Based Structural Health Monitoring:Framework,Algorithms, and Implementation,by Gandhi,T.,Chang,R.and Trivedi,M.M.Abstract:This paper presents the design and application of novel multisensory testbeds forcollection,synchronization,archival,and analysis of multimodal data for health monitoring oftransportation infrastructures.The framework for data capture from vision and seismic sensorsis described,and the important issue of synchronization between these modalities is addressed.Computer-vision algorithms are used to detect and track vehicles and extract their properties.It isnoted that the video and seismic sensors in the testbed supply complementary information aboutpassing vehicles.Data fusion between features obtained from these modalities is used to per-form vehicle classification.Experimental results of vehicle detection,tracking,and classificationobtained with these testbeds are described.Page(s):169-180Digital Object Identifier10.1109/TITS.2006.888601AbstractPlus—Full Text:PDF(1309KB)Rights and Permissions•Determining Traffic-Flow Characteristics by Definition for Application in ITS,by Ni,D.Abstract:Traffic-flow characteristics such asflow,density,and space mean speed(SMS)arecritical to Intelligent Transportation Systems(ITS).For example,flow is a direct measure ofthroughput,density is an ideal indicator of traffic conditions,and SMS is the primary input tocompute travel times.An attractive method to compute traffic-flow characteristics in ITS isexpected to meet the following criteria:1)It should be a one-stop solution,meaning it involvesonly one type of sensor that is able to determineflow,SMS,and density;2)it should be accurate,meaning it determines these characteristics by definition rather than by estimation or by usingsurrogates;3)it should preserve the fundamental relationship amongflow,SMS,and density;and4)it should be compatible with ITS,meaning it uses ITS data and supports online application.Existing methods may be good for one or some of the above criteria,but none satisfies all ofthem.This paper tackles the challenge by formulating a method,called the n−t method,whichaddresses all these criteria.Its accuracy and the fundamental relationship are guaranteed byapplying a generalized definition of traffic-flow characteristics.Inputs to the method are time-stamped traffic counts which happen to be the strength of most ITS systems.Some empiricalexamples are provided to demonstrate the performance of the n−t method.Page(s):181-187Digital Object Identifier10.1109/TITS.2006.888621AbstractPlus—Full Text:PDF(607KB)Rights and Permissions•A Traffic Accident Recording and Reporting Model at Intersections,by Ki,Y.-K.and Lee, D.-Y.Abstract:In this paper,we suggested a vision-based traffic accident detection algorithm and developed a system for automatically detecting,recording,and reporting traffic accidents at inter-sections.A system with these properties would be beneficial in determining the cause of accidents and the features of an intersection that impact safety.This modelfirst extracts the vehicles from the video image of the charge-couple-device camera,tracks the moving vehicles(MVs),and ex-tracts features such as the variation rate of the velocity,position,area,and direction of MVs.The model then makes decisions on the traffic accident based on the extracted features.In afield test,the suggested model achieved a correct detection rate(CDR)of50%and a detection rate of 60%.Considering that a sound-based accident detection system showed a CDR of1%and a DR of66.1%,our result is a remarkable achievement.Page(s):188-194Digital Object Identifier10.1109/TITS.2006.890070AbstractPlus—Full Text:PDF(506KB)Rights and Permissions•Elucidating Vehicle Lateral Dynamics Using a Bifurcation Analysis,by Liaw,D.-C.,Chiang, H.-H.and Lee,T.-T.Abstract:Issues of stability and bifurcation phenomena in vehicle lateral dynamics are pre-sented.Based on the assumption of constant driving speed,a second-order nonlinear lateral dynamics model is obtained.Local stability and existence conditions for saddle-node bifurcation appearing in vehicle dynamics with respect to the variations in front wheel steering angle are then derived via system linearization and local bifurcation analysis.Bifurcation phenomena occurring in vehicle lateral dynamics might result in spin and/or system instability.A perturbation method is employed to solve for an approximation of system equilibrium near the zero value of the front wheel steering angle,which reveals the relationship between sideslip angle and the applied front wheel angle.Numerical simulations from an example model demonstrate the theoretical results. Page(s):195-207Digital Object Identifier10.1109/TITS.2006.888598AbstractPlus—Full Text:PDF(868KB)Rights and Permissions•Conflict Resolution and Train Speed Coordination for Solving Real-Time Timetable Per-turbations,by D’Ariano,A.,Pranzo,M.and Hansen,I.A.Abstract:During rail operations,unforeseen events may cause timetable perturbations,which ask for the capability of traffic management systems to reschedule trains and to restore the timetable feasibility.Based on an accurate monitoring of train positions and speeds,potential conflicting routes can be predicted in advance and resolved in real time.The adjusted targets (locationtimespeed)would be then communicated to the relevant trains by which drivers should be able to anticipate the changed traffic circumstances and adjust the train’s speed accordingly.We adopt a detailed alternative graph model for the train dispatching problem.Conflicts be-tween different trains are effectively detected and solved.Adopting the blocking time model, we ascertain whether a safe distance headway between trains is respected,and we also consider speed coordination issues among consecutive trains.An iterative rescheduling procedure provides an acceptable speed profile for each train over the intended time horizon.After afinite number of iterations,thefinal solution is a conflict-free schedule that respects the signaling and safety constraints.A computational study based on a hourly cyclical timetable of the Schiphol railway network has been carried out.Our automated dispatching system provides better solutions in terms of delay minimization when compared to dispatching rules that can be adopted by a human traffic controller.Page(s):208-222Digital Object Identifier10.1109/TITS.2006.888605AbstractPlus—Full Text:PDF(728KB)Rights and Permissions•Maximum Freedom Last Scheduling Algorithm for Downlinks of DSRC Networks,by Chang,C.-J.,Cheng,R.-G.,Shih,H.-T.and Chen,Y.-S.Abstract:This paper proposes a maximum freedom last(MFL)scheduling algorithm for down-links,from the roadside unit to the onboard unit(OBU),of dedicated short-range communication networks in intelligent transportation systems,to minimize the system handoffrate under the maximum tolerable delay constraint.The MFL scheduling algorithm schedules the service or-dering of OBUs according to their degree of freedom,which is determined by factors such as remaining dwell time of service channel,remaining transmission time,queueing delay,and max-imum tolerable delay.The algorithm gives the smallest chance of service to the OBU with the largest remaining dwell time,the smallest remaining transmission time,and the largest weighting factor,which is a function of the queueing delay and the maximum tolerable delay.Simulation results show that the MFL scheduling algorithm outperforms the traditionalfirst-comefirst-serve and earliest-deadline-first methods in terms of service failure and system handoffrates.Page(s):223-232Digital Object Identifier10.1109/TITS.2006.889440AbstractPlus—Full Text:PDF(621)Rights and Permissions•Collision Avoidance for Vehicle-Following Systems,by Gehrig,S.K.and Stein,F.J.Abstract:The vehicle-following concept has been widely used in several intelligent-vehicle appli-cations.Adaptive cruise control systems,platooning systems,and systems for stop-and-go traffic employ this concept:The ego vehicle follows a leader vehicle at a certain distance.The vehicle-following concept comes to its limitations when obstacles interfere with the path between the ego vehicle and the leader vehicle.We call such situations dynamic driving situations.This paper introduces a planning and decision component to generalize vehicle following to situations with nonautomated interfering vehicles in mixed traffic.As a demonstrator,we employ a car that is able to navigate autonomously through regular traffic that is longitudinally and laterally guided by actuators controlled by a computer.This paper focuses on and limits itself to lateral control for collision avoidance.Previously,this autonomous-driving capability was purely based on the vehicle-following concept using vision.The path of the leader vehicle was tracked.To extend this capability to dynamic driving situations,a dynamic path-planning component is introduced.Several driving situations are identified that necessitate responses to more than the leader vehicle.We borrow an idea from robotics to solve the problem.Treat the path of the leader vehicle as an elastic band that is subjected to repelling forces of obstacles in the surroundings.This elastic-band framework offers the necessary features to cover dynamic driving situations.Simulation results show the power of this approach.Real-world results obtained with our demonstrator validate the simulation results.Page(s):233-244Digital Object Identifier10.1109/TITS.2006.888594AbstractPlus—Full Text:PDF(530KB)Rights and Permissions。

OpenText ALM Quality Center客户端常见问题解答说明书

OpenText ALM Quality Center客户端常见问题解答说明书

ALM/Quality Center Clients Frequently Asked QuestionsApril 2023OpenT ext ALM/Quality Center is continually evolving. We continue to innovate, enhancing the user experience and improving administration efficiency to meet the demands of the digital age. Have questions about the evolution of ALM/Quality Center clients? We have created the fol-lowing guide to provide the answers to your FAQs.Microsoft has ended the support for Internet Explorer for certain operating systems since June 15, 2022.How does it impact ALM Desktop Client?Following Microsoft’s announcement, Micro Focus (now part of OpenT ext) ended support for ALM Desktop Client on Internet Explorer start-ing June 15, 2022. Our recommended replacement is ALM Client Launcher—a Windows application that runs ALM Desktop Client with-out dependency on Internet Explorer. It support full functionality of ALM Desktop Client and greatly reduces administration overhead.Y ou need ALM/Quality Center 12.60 or later to use ALM Client Launcher. Since ALM/Quality Center 12.60 ended committed support on August 31, 2022, OpenT ext recommends updating your ALM/Quality Center server to the latest product version to avoid Internet Explorer depen-dency, as well as receive latest updates and benefits from the full range of new features and functionalities. OpenT ext’s product support lifecy cle provides an overview of which versions of our products are suppor ted. Visit this lookbook for information and resources on ALM/Quality Center upgrade.What is ALM Client Launcher and what benefits doesit bring?ALM Client Launcher is a Microsoft Windows application to run ALM Desktop Client without dependency on IE browser and Active X tech-nology. It can be deployed via Windows Installer and greatly reduce administration overhead. The installer makes it easy for IT organiza-tions to distribute ALM Client Launcher to all end-user environments. Y ou can also install ALM Client Launcher from command line, enabling automatic deployment using scripts. Alternatively, your organization may let each individual user install it for himself without the need of administrator privilege.ALM Client Launcher runs the ALM Desktop Client in place of Internet Explorer, preserving all functionality including Lab Management and Site Administration. Therefore it is the best choice for minimizing the impact of IE11 retirement on your business.F igure 1. ALM Client Launcher Windows installerWhere can I download ALM Client Launcher?You can download it from OpenT ext AppDelivery Marketplace. Please refer to the product compatibility information on the marketplace page to learn the supported versions of ALM server.If you are using ALM/Quality Center 15.5 or later, you can download ALM Client Launcher directly from your ALM server via the ALM qcbin page (for example https://alm.server.domain/qcbin/). Click on the ‘A LM Desktop Client’ link or the rocket icon next to it and it will guide you where to download.FAQFAQALM/Quality Center ClientsFigure 2. ALM qcbin pageHow do I migrate ALM Desktop Client from Internet Explorer to ALM Client Launcher?Simply run ALM Client Launcher and no client-side migration needed. When you run ALM Client Launcher for the first time it will download the ALM client files to your local machine. From then on, you can enjoy the same ALM functionality as what you can access with ALM Desktop Client on Microsoft Internet Explorer.Besides ALM Client Launcher, what other client options does OpenT ext recommend?Besides ALM Client Launcher, we recommend the following lightweight clients.Lightweight ClientsThese clients contain a subset of ALM client functions and feature simple and modern UI, providing enjoyable and productive user experiences.■Web Runner: a pure web-based client with release management,requirement management, test plan, test lab, defect management and dashboard view functions.■Quality of Things (QoT): runs on tablet devices running Android, iOS or Windows, with offline manual testing capability.What browsers does Web Runner support?Web Runner is purely web-based, so it works with any browser including Google Chrome, Mozilla Firefox, Apple Safari and Microsoft Edge, and runs on any type of PC or tablet with a browser.What can I do in Web Runner?Most of the common end-user tasks can be done in Web Runner, with the following modules: Dashboard, Releases, Requirements, T est Plan, T est Lab and Defects. Y ou can implement customizable workflow using JavaScript language. You can also create and view test coverage for requirements, and view requirement coverage for tests.Web Runner has a modern user interface that provides a productive work environment.Web Runner functionalities are evolving in each release, see Appendix to learn details.Can I run UFT tests with Web Runner?Yes, with the ALM T est Execution Agent configured on your host ma-chine, you can trigger UFT tests and view the results (passed/failed) in Web Runner.Does Web Runner have any features to enforce processes?Y ou can use customizable workflow scripts to implement controls.If I connect to an ALM project in Web Runnerand modify workflow script there, how does that present in the ALM Desktop Client for the sameALM project, and vice versa?Workflow defined in Web Runner is not the same as what defined in ALM Desktop Client. The same ALM project can have two separate workflows: the new JavaScript script workflow for Web Runner and the existing VB script workflow for ALM Desktop Client.If you want to apply the same workflow for all the users of a project, either let them use the same client or keep the two workflows consistent.Y ou can restrict a user group from using both ALM Desktop Client and Web Runner. T o disable certain user groups from using Web Runner, you can do so in Project Customization—Module Access.T o disable certain user groups from using ALM Desktop Client, you can do a simple edit to the workflow VB script ‘CanLogin’ function. Here’s an example:Function CanLogin (DomainName, ProjectName, UserName)CanLogin = Trueif User.IsInGroup("Defect Reporter") thenmsgbox "You are expected to visit this ALM project using Web Runner!" CanLogin = Falseend ifEnd FunctionIs there a migration tool from VB script workflowin ALM Desktop Client to the JavaScript one inWeb Runner?No such tool will be available. The best practice is to first identify which user groups can start to use Web Runner, and then review their work-ing process and implement the new JavaScript workflow. Others still remain on the ALM Desktop Client and their existing workflow. Does Web Runner consume a full ALM license?Because Web Runner has most of the common functionality, it needs a full ALM/Quality Center license.Is there a web-based UI for site admin?Yes. Site Administration has a web-based user interface that enables site administrators to manage their ALM/Quality Center environments from anywhere and any browser with full admin functionality. Where can I download Quality of Things (QoT)?Install QoT for Android from the Google Play Store, QoT for iOS from Apple App Store, and download QoT for all supported OS, including Windows from the OpenT ext AppDelivery Marketplace.Is QoT included with an ALM license purchase,like an add-in, or does it require a separate license?QoT is part of the ALM/Quality Center offering, with no additional charge. Note that QoT consumes a full license when connected to the server (online mode).Does QoT have any features to enforce process?Though ALM/Quality Center workflow is not supported, QoT allows ad-mins to set rules for all users to control what they can do under certain conditions. For example, a test can be downloaded or executed only when it meets certain conditions.Does QoT include reporting features?Because QoT is mainly for test execution and not management, there are no plans to add reporting and dashboards.Is it okay to access a single ALM project via different types of ALM client?Y es. Each user can use their preferred client to access the same project in ALM.What will happen to those client options not inOpenT ext’s recommended list?In the past, OpenT ext introduced a few different client options as listed in the table below. They are essentially different ways to run the same ALM Desktop Client. OpenT ext will continue to support these options if the technology they rely on is still supported by the vendor. However, we recommend using ALM Client Launcher which offers more conve-nience in terms of deployment and upgrade.Legacy Options to Run ALM Desktop ClientHow do I use ALM Desktop Client with Microsoft Edge? Run ALM Desktop Client in Microsoft Edge ‘Internet Explorer (IE) mode.’ Refer to Microsoft Getting Started Guide on Microsoft Edge + Internet Explorer mode. OpenT ext also provides a KB article with instructions about how to access ALM from the Edge Browser with IE mode. How long will ALM Desktop Client for Microsoft EdgeIE Mode be supported?According to Microsoft, Internet Explorer mode in Microsoft Edge en-ables backward compatibility and will be supported through at least 2029. As long as IE mode in Edge is supported, OpenT ext supports ALM Desktop Client running in this mode.How do I deploy ALM Desktop Client withMicrosoft Application Virtualization (MS App-V)?A brief description of the process is:1. Create a .msi installation file for ALM Desktop Client files using the tool OpenT ext provided2. Package the .msi file and register it in Microsoft App-V server3. On App-V client, download the ALM App-V package and launch the client.For more detailed instructions, please refer to the KB article.ALM Desktop Client Microsoft Edge(Internet Explorer mode)Windows administrator ALM Explorer Microsoft Windows Windows administratorALM Client forMicrosoft App-VMicrosoft Windows Windows userFAQALM/Quality Center ClientsAppendix: Comparing Web Runner Functionalities in ALM/Quality Center VersionsDashboard Analysis ViewDashboard View View Only View Only View OnlyManagement Releases CRUD ●ProgressQualityStatusRequirements Requirements CRUD ●Requirement Tree ●Requirement GridLinked Defects ●Requirement TraceabilityT est Coverage ●Coverage AnalysisTraceability MatrixVersion Control View OnlyT esting T est Plan CRUD ● ●T est Plan Tree ● ●T est GridParametersT est ConfigurationsRequirement Coverage View OnlyLinked Defects ● ●DependenciesAnalysisVersion Control View Only View OnlyT est Lab CRUD ●Execution Grid ● ● ●Manual T ests OnlyExecution FlowAutomationLinked Defects ● ●AnalysisT est RunsDefects ● ● ● ●Blank: Unsupported ●: Supported Continued on next page CRUD: create, read, update, and deleteProduct Module Product Feature ProductFunctionality17.0.x16.0.x15.5.x15.0.xProject Customization User Properties●*●*●*●* Project Users●*●*●*●* Groups and Permissions●*●*●*●* Module Access●*●*●*●* Project Entities●*●*●*●* Requirement Types●*●*●*●* Risk-Based Quality ManagementProject Lists●*●*●*●* Automail●*●*●*●* Alert UsersWorkflow ●Blank: Unsupported ●: Supported*T hese customizations need to be defined using the ALM Desktop Client. Existing customizations can all be used in Web Runner.Need More?■Learn more about ALM/Quality Center: /alm ■Get help from ALM/Quality Center online documentation:https:///alm Learn more at/opentext。

【CMMI认证】EST、PLAN、MC、RSK、MPM、CAR、DAR 访谈问题 -项目经理

【CMMI认证】EST、PLAN、MC、RSK、MPM、CAR、DAR 访谈问题 -项目经理

一、EST估算(访谈角色:PM:XXX,XXX)1、如何确定和更新项目范围?EST 2.1答:通过前期了解的项目需求边界,对项目的技术和管理工作进行顶层WBS(工作分解结构)工作分解,细分成功能需求用例点(UCP)。

2、如何估算和更新解决方案的(产品/项目)规模?EST 2.2答:我们采用UCP用例点估算方法,步骤如下:⚫对每一个用例的复杂性进行分析,复杂性包括简单、普通和复杂三种。

权重值简单是5,普通是10,复杂是15,通过权重计算出UUCP原始用例点数。

⚫对原始用例点数的技术复杂度TCF因素估计,包括易用性、可复用性、可移植性、性能等进行加权评定,得到TCP因素估计值⚫对原始用例点数的环境复杂度ECF因素估计,包括团队开发经验、需求稳定度、分析师能力,采用的编程语言,客户配合度等进行加权评定,得到ECF因素估计值。

⚫计算出最终的规模用例点数UCP公式:UCP = UUCP原始用例点数* TCP因素估计值* ECF因素估计值3、如何估算工作量、项目周期、成本?请具体描述一下估算方法原理。

EST 2.3答:根据计算出的规模UCP,乘以公司历史数据算出的生产率(14.5人时/UCP),得到项目总工作量。

项目总工作量= 规模UCP * 生产率(14.5人时/UCP)项目成本= 项目总工作量* 工时成本(60元/时)+ 其他差旅费+ 商务成本项目周期是根据项目每阶段工作量和投入人员数量计算得出。

4、公司定义了哪些估算方法?EST 3.1答:公司定义了UCP、Delphi估算方法,主要是使用了UCP估算方法。

5、估算时参考了组织资产库的哪些内容?EST 3.2答:估算时参考了软件行业数据和公司历史度量库的数据,如技术复杂因素TCF和环境复杂因素ECF的行业值,公司历史度量库的生产率等数据。

二、PLAN 策划(访谈角色:PM:XXX)1、你的项目目标有哪些?你的项目采用了什么生命周期?用到了哪些技术和资源?PLAN2.1答:⚫在项目计划书中定义了项目的目标⚫项目采用了瀑布生命周期⚫用到了Java(这里根据项目实际情况回答)开发技术,大数据分析技术等,资源方面主要是用到了软硬件资源和人力资源。

MAKER使用指南说明书

MAKER使用指南说明书

Exercise 1. Using MAKER for Genome AnnotationIf you are following this guide for your own research project, please make the following modifications:1. In this exercise, SNAP was used for gene prediction. When you are working on your owngenome, we recommend that you use Augustus. The instructions for using Augustus is in appendix.2. In the exercise, you will be using 2 CPU cores. When you are working on your own genome,you should use all CPU cores on your machine. When you run the command:"/usr/local/mpich/bin/mpiexec -n 2", replace 2 with number of cores available on yourmachine.3. The steps for Repeatmodeler and Repeatmasker are optional in the exercise, but requiredwhen you work on your own genome.The example here is from a workshop by Mark Yandell Lab (/ ) Further readings:1. Yandel Lab Workshop. /MAKER/wiki/index.php/MAKER_Tutorial_for_WGS_Assembly_and_Annotation_Winter_School_2018 .2. MAKER protocol from Yandell Lab. It is good reference. https:///pmc/articles/PMC4286374/3. Tutorial for training Augustus https:///simonlab/bioinformatics/programs/augustus/docs/tutorial2015/training.html4. Maker control file explained: /MAKER/wiki/index.php/The_MAKER_control_files_explainedPart 1. Prepare working directory.1. Copy the data file from /shared_data/annotation2018/ into /workdir/$USER, and de-compress the file. You will also copy the maker software directory to /workdir/USER. The maker software directory including a large sequence repeats database. It would be good to put it under /workdir which is on local hard drive.mkdir /workdir/$USERmkdir /workdir/$USER/tmpcd /workdir/$USERcp /shared_data/annotation2019/maker_tutorial.tgz ./cp -rH /programs/maker/ ./cp -rH /programs/RepeatMasker ./tar -zxf maker_tutorial.tgzcd maker_tutorialls -1Part 2. Maker round 1 - Map known genes to the genomeRun everything in "screen".Round 1 includes two steps:Repeat masking;Align known transcriptome/protein sequences to the genome;1. [Optional] Build a custom repeat database. This step is optional for this exercise, as it is avery small genome, it is ok without repeat masking. When you work on a real project, you can either download a database from RepBase (https:///repbase/, license required), or you can build a custom repeat database with your genome sequence.RepeatModeler is a software for building custom databases. The commands for building a repeat database are provided here.cd example_02_abinitioexport PATH=/programs/RepeatModeler-2.0:$PATHBuildDatabase -name pyu pyu_contig.fastaRepeatModeler -pa 4 -database pyu -LTRStruct >& repeatmodeler.logAt the end of run, you would find a file "pyu-families.fa". This is the file you can supply to "rmlib=" in the control file.2. Set environment to run Maker and create MAKER control files.Every steps in Maker are specified by the Maker control files. The command "maker -CTL" will create three control files: maker_bopts.ctl, maker_exe.ctl, maker_opts.ctl.by.exportPATH=/workdir/$USER/maker/bin:/workdir/$USER/RepeatMasker:/programs/snap:$PATH export ZOE=/programs/snap/Zoeexport LD_LIBRARY_PATH=/programs/boost_1_62_0/libcd /workdir/$USER/maker_tutorial/example_02_abinitiomaker -CTL3. Modify the control file maker_opts.ctl.Open the maker_opts.ctl file in a text editor (e.g. Notepad++ on Windows, BBEdit on Mac, or vi on Linux). Modify the following values. Put the modified file in the same directory“example_02_abinitio”.genome=pyu_contig.fastaest=pyu_est.fastaprotein=sp_protein.fastamodel_org=simplermlib= #fasta file of your repeat sequence from RepeatModeler. Leave blank to skip.softmask=1est2genome=1protein2genome=1TMP=/workdir/$USER/tmp #important for big genome, as the default /tmp is too smallThe modified maker_opts.ctl file instructs MAKER to do two things.a) Run RepeatMasker.The line “model_org=simple” tells RepeatMasker to mask the low complexity sequence (e.g.“AAAAAAAAAAAAA”.The line “rmlib=” sets "rmlib" to null, which tells RepeatMasker not to mask repeatsequences like transposon elements. If you have a repeat fasta file (e.g. output fromRepeatModeler) that you need to mask, put the fasta file name next to “rmlib=”The line “softmask=1” tells RepeatMasker to do soft-masking which converts repeats tolower case, instead of hard-masking which converts repeats to “N”. "Soft-masking" isimportant so that short repeat sequences within genes can still be annotated as part of gene.If you run RepeatMasker separately, as described in https:///darencard/bb10 01ac1532dd4225b030cf0cd61ce2 , you should leave rmlib to null, but set rm_gff to a repeat gff file.b) Align the transcript sequences from the pyu_est.fasta file and protein sequences from thesp_protein.fasta file to the genome and infer evidence supported gene model.The lines “est2genome=1” and “protein2genome=1” tell MAKER to align the transcriptsequences from the pyu_est.fasta file and protein sequences from the sp_protein.fasta file to the genome. These two files are used to define evidence supported gene model.The lines “est=pyu_est.fasta" and "protein=sp_protein.fasta" specify the fasta file names of the EST and protein sequences. In general, the EST sequence file contains the assembled transcriptome from RNA-seq data. The protein sequence file include proteins from closely related species or swiss-prot. If you have multiple protein or EST files, separate file names with ",".4. [Do it at home] Execute repeat masking and alignments. This step takes an hour. Run it in"screen". In the command: "mpiexec -n 2 " means that you will parallelize Maker using MPI, and use two threads at a time. When you work on a real project, it will take much longer, and you should increase this "-n" setting to the number of cores.Set Maker environment if it is new session:exportPATH=/workdir/$USER/maker/bin:/workdir/$USER/RepeatMasker:/programs/snap:$PATH export ZOE=/programs/snap/Zoeexport LD_LIBRARY_PATH=/programs/boost_1_62_0/libExecute the commands:cd /workdir/qisun/maker_tutorial/example_02_abinitio/usr/local/mpich/bin/mpiexec -n 2 maker -base pyu_rnd1 >& log1 &After it is done, you can check the log1 file. You should see a sentence: Maker is now finished!!!Part 3. Maker round 2 - Gene prediction using SNAP1. Train a SNAP gene model.SNAP is software to do ab initio gene prediction from a genome. In order to do gene prediction with SNAP, you will first train a SNAP model with alignment results produced in the previous step.If you skipped the step "4. [Do it at home] Execute Maker round 1", you can copy the result files from this directory: /shared_data/annotation2019/cd /workdir/qisun/maker_tutorial/example_02_abinitiocp /shared_data/annotation2019/pyu_rnd1.maker.output.tgz ./tar xvfz pyu_rnd1.maker.output.tgzSet Maker environment if it is new session:exportPATH=/workdir/$USER/maker/bin:/workdir/$USER/RepeatMasker:/programs/snap:$PATH export ZOE=/programs/snap/Zoeexport LD_LIBRARY_PATH=/programs/boost_1_62_0/libThe following commands will convert the MAKER round 1 results to input files for building a SNAP mode.mkdir snap1cd snap1gff3_merge -d ../pyu_rnd1.maker.output/pyu_rnd1_master_datastore_index.logmaker2zff -l 50 -x 0.5 pyu_rnd1.all.gffThe “-l 50 -x 0.5” parameter in maker2zff commands specify that only gene models with AED score>0.5 and protein length>50 are used for building models. You will find two new files: genome.ann and genome.dna.Now you will run the following commands to train SNAP. The basic steps for training SNAP are first to filter the input gene models, then capture genomic sequence immediately surrounding each model locus, and finally uses those captured segments to produce the HMM. You can explore the internal SNAP documentation for more details if you wish.fathom -categorize 1000 genome.ann genome.dnafathom -export 1000 -plus uni.ann uni.dnaforge export.ann export.dnahmm-assembler.pl pyu . > ../pyu1.hmmmv pyu_rnd1.all.gff ../cd ..After this, you will find two new files in the directory example_02_abinitio:pyu_rnd1.all.gff: A gff file from round 1, which is evidence based genes.pyu1.hmm: A hidden markov model trained from evidence based genes.2. Use SNAP to predict genes.Modify directly on the maker_opts.ctl file that you have modified previously.Before doing that, you might want to save a backup copy of maker_opts.ctl for round 1.cp maker_opts.ctl maker_opts.ctl_backup_rnd1Now modify the following values in the file: maker_opts.ctlRun maker with the new control file. This step takes a few minutes. (A real project could take hours to finish). You will use the option “-base pyu_rnd2” so that the results will be written into a new directory "pyu_rnd2".Again, make sure the log2 file ends with "Maker is now finished!!!".Part 4. Maker round 3 - Retrain SNAP model and do another round of SNAP gene predictionYou might need to run two or three rounds of SNAP . So you will repeat Part 2 again. Make sure you will replace snap1 to snap2, so that you would not over-write previous round.1. First train a new SNAP model.2. Use SNAP to predict genes.Modify directly on the maker_opts.ctl file that you have modified previously.Before doing that, you might want to save a backup copy of maker_opts.ctl for round 2.Now modify the following values in the file: maker_opts.ctlmaker_gff= pyu_rnd1.all.gffest_pass=1 # use est alignment from round 1protein_pass=1 #use protein alignment from round 1rm_pass=1 # use repeats in the gff filesnaphmm=pyu1.hmmest= # remove est file, do not run EST blast againprotein= # remove protein file, do not run blast againmodel_org= #remove repeat mask model, so not running RM againrmlib= # not running repeat masking againrepeat_protein= #not running repeat masking againest2genome=0 # do not do EST evidence based gene modelprotein2genome=0 # do not do protein based gene model.pred_stats=1 #report AED statsalt_splice=0 # 0: keep one isoform per gene; 1: identify splicing variants of the same genekeep_preds=1 # keep genes even without evidence support, set to 0 if no/usr/local/mpich/bin/mpiexec -n 2 maker -base pyu_rnd2 >& log2 &mkdir snap2cd snap2gff3_merge -d ../pyu_rnd2.maker.output/pyu_rnd2_master_datastore_index.logmaker2zff -l 50 -x 0.5 pyu_rnd2.all.gfffathom -categorize 1000 genome.ann genome.dnafathom -export 1000 -plus uni.ann uni.dnaforge export.ann export.dnahmm-assembler.pl pyu . > ../pyu2.hmmmv pyu_rnd2.all.gff ..cd ..cp maker_opts.ctl maker_opts.ctl_backup_rnd2maker_gff=pyu_rnd2.all.gffsnaphmm=pyu2.hmmRun Maker:/usr/local/mpich/bin/mpiexec -n 2 maker -base pyu_rnd3 >& log3 &Use the following command to create the final merged gff file. The “-n” option would produce a gff file without genome sequences:gff3_merge -n -dpyu_rnd3.maker.output/pyu_rnd3_master_datastore_index.log>pyu_rnd3.noseq.gff fasta_merge -d pyu_rnd3.maker.output/pyu_rnd3_master_datastore_index.logAfter this, you will get a new gff3 file: pyu_rnd3.noseq.gff, and protein and transcript fasta files. 3. Generate AED plots./programs/maker/AED_cdf_generator.pl -b 0.025 pyu_rnd2.all.gff > AED_rnd2/programs/maker/AED_cdf_generator.pl -b 0.025 pyu_rnd3.noseq.gff > AED_rnd3You can use Excel or R to plot the second column of the AED_rnd2 and AED_rnd3 files, and use the first column as the X-axis value. The X-axis label is "AED", and Y-axis label is "Cumulative Fraction of Annotations "Part 5. Visualize the gff file in IGVYou can load the gff file into IGV or JBrowse, together with RNA-seq read alignment bam files. For instructions of running IGV and loading the annotation gff file, you can read under "part 4" of this document:/doc/RNA-Seq-2019-exercise1.pdfAppendix: Training Augustus modelRun Part 1 & 2.In the same screen session, set up Augustus environment.cp -r /programs/Augustus-3.3.3/config/ /workdir/$USER/augustus_configexport LD_LIBRARY_PATH=/programs/boost_1_62_0/libexport AUGUSTUS_CONFIG_PATH=/workdir/$USER/augustus_config/export LD_LIBRARY_PATH=/programs/boost_1_62_0/libexport LC_ALL=en_US.utf-8export LANG=en_US.utf-8export PATH=/programs/augustus/bin:/programs/augustus/scripts:$PATHThe following commands will convert the MAKER round 1 results to input files for building a SNAP mode.mkdir augustus1cd augustus1gff3_merge -d ../pyu_rnd1.maker.output/pyu_rnd1_master_datastore_index.logAfter this step, you will see a new gff file pyu_rnd1.all.gff from round 1.## filter gff file, only keep maker annotation in the filtered gff fileawk '{if ($2=="maker") print }' pyu_rnd1.all.gff > maker_rnd1.gff##convert the maker gff and fasta file into a Genbank formated file named pyu.gb ##We keep 2000 bp up- and down-stream of each gene for training the modelsgff2gbSmallDNA.pl maker_rnd1.gff pyu_contig.fasta 2000 pyu.gb## check number of genes in training setgrep -c LOCUS pyu.gb## train model## first create a new Augustus species namednew_species.pl --species=pyu## initial trainingetraining --species=pyu pyu.gb## the initial model should be in the directoryls -ort $AUGUSTUS_CONFIG_PATH/species/pyu##create a smaller test set for evaluation before and after optimization. Name the evaluation set pyu.gb.evaluation.randomSplit.pl pyu.gb 200mv pyu.gb.test pyu.gb.evaluation# use the first model to predict the genes in the test set, and check theresultsaugustus --species=pyu pyu.gb.evaluation >& first_evaluate.outgrep -A 22 Evaluation first_evaluate.out# optimize the model. this step is very time consuming. It could take days. To speed things up, you can create a smaller test set# the following step will create a test and training sets. the test set has 1000 genes. This test set will be splitted into 24 kfolds for optimization (the kfold can be set up to 48, with processed with one cpu core per kfold. Kfold must be same number as as cpus). The training, prediction and evaluation will beperformed on each bucket in parallel (training on hh.gb.train+each bucket, then comparing each bucket with the union of the rest). By default, 5 rounds of optimization. As optimization for large genome could take days, I changed it to3 here.randomSplit.pl pyu.gb 1000optimize_augustus.pl --species=hh --kfold=24 --cpus=24 --rounds=3 --onlytrain=pyu.gb.train pyu.gb.test >& log &#train again after optimizationetraining --species=pyu pyu.gb# use the optionized model to evaluate again, and check the resultsaugustus --species=pyu pyu.gb.evaluation >& second_evaluate.outgrep -A 22 Evaluation second_evaluate.outAfter these steps, the species model is in the directory/workdir/$USER/augustus_config/species/pyu.Now modify the following values in the file: maker_opts.ctlmaker_gff= pyu_rnd1.all.gffest_pass=1 # use est alignment from round 1protein_pass=1 #use protein alignment from round 1rm_pass=1 # use repeats in the gff fileaugustus_species=pyu # augustus species model you just builtest= # remove est file, do not run EST blast againprotein= # remove protein file, do not run blast againmodel_org= #remove repeat mask model, so not running RM againrmlib= # not running repeat masking againrepeat_protein= #not running repeat masking againest2genome=0 # do not do EST evidence based gene modelprotein2genome=0 # do not do protein based gene model.pred_stats=1 #report AED statsalt_splice=0 # 0: keep one isoform per gene; 1: identify splicing variants of the same genekeep_preds=1 # keep genes even without evidence support, set to 0 if noRun maker with the new augustus model/usr/local/mpich/bin/mpiexec -n 2 maker -base pyu_rnd3 >& log3 &Create gff and fasta output files:Use the following command to create the final merged gff file. The “-n” option would produce a gff file without genome sequences:gff3_merge -n -dpyu_rnd3.maker.output/pyu_rnd3_master_datastore_index.log>pyu_rnd3.noseq.gff fasta_merge -d pyu_rnd3.maker.output/pyu_rnd3_master_datastore_index.logAfter this, you will get a new gff3 file: pyu_rnd3.noseq.gff, and protein and transcript fasta files. To make the gene names shorter, use the following commands:maker_map_ids --prefix pyu_ --justify 8 --iterate 1 pyu_rnd3.all.gff > id_map map_gff_ids id_map pyu_rnd3.all.gffmap_fasta_ids id_map pyu_rnd3.all.maker.proteins.fastamap_fasta_ids id_map pyu_rnd3.all.maker.transcripts.fasta。

基于Modelica_的卷包车间生产物流建模与仿真研究

基于Modelica_的卷包车间生产物流建模与仿真研究

第 22卷第 10期2023年 10月Vol.22 No.10Oct.2023软件导刊Software Guide基于Modelica的卷包车间生产物流建模与仿真研究单航1,周睿2,沈毅2,耿建1,张宝坤1,丁吉1,周凡利1(1.苏州同元软控信息技术有限公司,江苏苏州 215000;2.湖南中烟工业有限责任公司长沙卷烟厂,湖南长沙 410007)摘要:针对中烟工业企业卷包车间生产物流前期规划问题,基于Modelica语言对卷包车间生产设备和物流设备进行模型化表达和模块化封装,以逻辑关系类模型为核心,构建一套可重用、可扩展的适用于卷包车间生产物流的模型库。

同时以某卷烟厂卷包车间两条产线改造升级为例,搭建了包括卷接机、装卸盘机、包装机以及相关托盘、自动导向车在内的产线级系统模型,研究了自动导向车参数、托盘配比对生产的影响,并给出优化参数,用于指导产线改造,避免系统性资源浪费风险,为后续工厂级多领域建模探索出一条道路。

关键词:卷包车间;Modelica建模;生产物流;系统规划;仿真应用DOI:10.11907/rjdk.231608开放科学(资源服务)标识码(OSID):中图分类号:TP391.9 文献标识码:A文章编号:1672-7800(2023)010-0019-07Research on Production Logistics Modeling and Simulation of CoiledPackaging Workshop Based on ModelicaSHAN Hang1, ZHOU Rui2, SHEN Yi2, GENG Jian1, ZHANG Baokun1, DING Ji1, ZHOU Fanli1(1.Suzhou Tongyuan Soft.&Ctrl. Tech. Co., Ltd.,Suzhou 215000,China;2.Changsha Cigarette Factory, China Tobacco Hunan Industrial Corporation,Changsha 410007,China)Abstract:In response to the pre planning problem of production logistics in the rolling mill workshop of China Tobacco Industrial Enterpris⁃es,the production equipment and logistics equipment in the rolling mill workshop are modeled and modularized using Modelica language. With a logical relationship class model as the core, a reusable and scalable model library suitable for production logistics in the rolling mill workshop is constructed. At the same time, taking the renovation and upgrading of two production lines in a cigarette factory´s cigarette packag⁃ing workshop as an example, a production line level system model was built, including a coiling machine, a loading and unloading machine, a packaging machine, and related pallets and automatic guided vehicles. The influence of automatic guided vehicle parameters and tray ratio on production was studied, and optimization parameters were provided to guide the renovation of the production line, avoid the risk of systematic resource waste, and explore a path for subsequent factory level multi domain modeling.Key Words:roll-on package workshop; Modelica modeling; production logistics; system planning; simulation application0 引言在传统工厂规划中,物流规划一般是由设计院协同业主依靠经验进行统一规划,但物流规划方案是否科学合理尚缺乏有效验证方式,导致设计阶段的一些隐性问题难以暴露,如节拍瓶颈障碍、物流路径不通畅等[1]。

SIMCA-Q Embedded Readme and Installation Guide

SIMCA-Q Embedded Readme and Installation Guide

SIMCA-QEmbedded solutionSIMCA-Q Readme and Installation Guide12 May 2023 Thank you for your interest in SIMCA®-Q 18.This guide describes how to install and get started with SIMCA-Q on a PC running Windows. There is also a Linux build that comes with its own instructions; however, the main topics here also covers Linux.In general, the high-level steps to get started are:1.Install SIMCA-Q2.Activating the licensee SIMCA-Q from your appMore informationGeneral information about SIMCA-Q can be found at SIMCA®-Q Embedded Multivariate Data Analytics Software | Sartorius.The SIMCA-Q 18 knowledge base article contains the latest updates and system requirements. Requirements• A license to use SIMCA-Q.• A PC to install the software on. SIMCA-Q is supported on all Windows versions supported by Microsoft.• A 64-bit computer is recommended, but there is also a 32-bit version of SIMCA-Q available.•SIMCA projects files created in SIMCA 16 – 18.InstallationAs an Administrator, run the SIMCA-Q_18_x64_Setup.exe to start the installation wizard. This will install the necessary files on your PC so that you can use it.Accept the end user license agreement and click Next.Make sure Activate SIMCA-Q is selected and click Install.Then finish the installation by following the instructions on-screen and close the installation wizard when it has completed.LicensingTo run SIMCA-Q 18, a license for it is required. The license specifies available features and may have an expiry date. A license for a previous version does not work.There are two ways SIMCA-Q can be licensed:•Using an Activation ID (either over the internet or using an offline procedure), similarly to how licensing for SIMCA works. The same Activation ID can allow one or more activations. This is howyou can license SIMCA-Q for testing or development, but it is not the way you license the product for the end-users of your app.•Using a $SQ license file with an embedded OEM password. To integrate SIMCA-Q with your app, you– the OEM integrator - typically bundle your app with SIMCA-Q and a license file. The app unlocksSIMCA-Q by calling a function SetOEMPassword with the password specified in the license. Without this password SIMCA-Q cannot be used. Also see Deploying SIMCA-Q with your app to . Activating the license with an Activation IDThis section shows how to activate a license using an Activation ID.Start the Activate SIMCA-Q app that was installed with SIMCA-Q. You find it in Windows Start.Provide the activation ID you received from Sartorius and click Next. With internet access, the license is then activated and locked to your PC.If you don’t have internet access on the computer the activation will fail, and you must follow a manual activation procedure using a different computer where you have internet access. Instructions for this are given on-screen and in the Manual Product Activation.pdf linked to in the dialog (the pdf is in the SIMCA-Q program files folder).License locationsThe license is by default located in the folder %programdata%\Umetrics\SIMCA-Q\18.0.A SIMCA-Q license file has the extension $SQ. Note that if you have licensed using an Activation ID, then you don’t have a license file, but the license information is still stored i n the above location.The license file need not be in the above folder: use the function SetLicensePath to specify the location of your license.SIMCA-Q searches for the license in multiple locations: first the path specified by SetLicensePath, then the ex ecutable’s location, then the SIMCA-Q.dll location and finally the above programdata folder.Use SIMCA-Q from your appOnce SIMCA-Q has been installed and licensed you can use it from the code in your app.COM or C interfaceFirst decide whether to use the COM interface or the C interface.What to select depends on your experience and what is easiest in your application. COM works well with C# and C works well from C++. Both interfaces have the same API, but the C function names start with SQ_ and the first parameter is always a pointer to the object to perform the action on. For example the COM function project.GetModel(1) corresponds to the C function SQ_GetModel(projectHandle, 1).Code snippet to get startedThis block of code shows the top-level steps that are used to initialize SIMCA-Q:SIMCAQ simcaq = new SIMCAQ();// unlock the functionality of SIMCA-Q:simcaq.SetOEMPassword(“monkey123”); // the OEM password specified in youragreement (.$SQ license file). Omit this step if no password is usedProject project = simcaq.OpenProject(projectPath, nullptr);Then continue to use the project you obtained to call other functions in SIMCA-Q.Learn more about the APILearn more on how to use SIMCA-Q API in:•the PDF files Interface Description, User Guide, Quick Tutorial•the CHM help files with detailed technical information for the C and COM interfaces in the SIMCA-Q program folder)•the sample projects, and their readme files included in the CodingSamples.zip fileThe docs are included in the SIMCA-Q.zip file and in the SIMCA-Q program folder (C:\ProgramFiles\Umetrics\SIMCA-Q by default).Advanced topicsDeploying SIMCA-Q with your app to end-usersTo deploy SIMCA-Q with your app you can do something like this:•Include the SIMCA-Q DLL and other files in the SIMCA-Q folder with the installation of your application.•Include your SIMCA-Q $SQ license file, and make sure it is placed in the location where SIMCA-Q can find it (learn more below).•Make sure the Latest supported Visual C++ Redistributable downloads is installed on the PC. This is installed automatically when you install SIMCA-Q but typically you don’t want your customers to run that setup program.Using the SIMCA-Q COM interfaceBefore using the COM Interfaces in the Q-products, SIMCA-Q.dll must be registered in Windows. This is done by the installation program, but if the DLL file is moved it needs to be re-registered.To register, start the command prompt as an administrator and type:regsvr32 “PATH\SIMCA-Q.dll”where PATH is the full path to the SIMCA-Q.dll.Activating on the command line instead of manual activationIf you don’t want to perform the above manual procedure to activate the license, you can use command line parameters to ActivateSIMCAQ.exe to automate this.Option Parameter/AK Activation ID on the formXXXX-XXXX-XXXX-XXXX- XXXX-XXXX-XXXX-XXXX/L Path to a log file that is useful for troubleshooting. The fileshould not exist when you run the command. For example:c:\temp\log.txt/silent No parameter. Automatically downloads a license file withoutGUI. The activation ID is required using /AK./host No parameter. The host ID needed for manual activation iswritten to the log file.On success the application returns 0, otherwise an error code is returned, and the error is written to the log file. If not in silent mode, the errors are displayed as messages.Value Meaning0 Success1 The license is invalid for this version of SIMCA-Q2 Could not call SIMCA-Q3 License could not be saved4 Failed to write log file5 No activation key (silent mode)SupportSee /umetrics-support.。

pdma examination score report -回复

pdma examination score report -回复

pdma examination score report -回复PDMA Examination Score ReportIntroductionThe purpose of this examination score report is to provide a detailed analysis of the performance of candidates who undertook the PDMA (Product Development and Management Association) examination. This report will outline the various sections of the examination, the scores achieved by the candidates, and a comprehensive analysis of their performance.Section 1: Product Development ProcessThe first section of the examination focused on the product development process. Candidates were evaluated on their knowledge and understanding of the various stages and activities involved in bringing a new product to market. The scoring range for this section was from 0 to 50 points.Overall, the candidates performed exceptionally well in this section. The average score obtained was 45 points, indicating a high level ofunderstanding and proficiency in product development. The majority of candidates demonstrated their knowledge on topics such as idea generation, concept development, design, testing, and launch. It is evident that they have a strong grasp of the fundamental concepts and principles related to the product development process.Section 2: Market Research and AnalysisThe second section of the examination focused on market research and analysis. Candidates were assessed on their ability to conduct market research, analyze the data, and identify market opportunities. The scoring range for this section was from 0 to 40 points.The performance of candidates in this section was relatively good, with an average score of 35 points. Most candidates exhibited a solid understanding of market research techniques, such as surveys, focus groups, and competitive analysis. They were able to demonstrate their analytical skills by interpreting market data and identifying customer needs and preferences. However, there is room for improvement in some areas, such as the utilization ofadvanced statistical analysis methods and the incorporation of market trends and forecasts into their analysis.Section 3: Product Planning and StrategyThe third section of the examination focused on product planning and strategy. Candidates were evaluated on their ability to develop a strategic plan for a new product, including pricing, positioning, and branding strategies. The scoring range for this section was from 0 to 35 points.The performance of candidates in this section was promising, with an average score of 30 points. Candidates displayed a good understanding of the importance of product positioning, competitive pricing, and effective branding in product success. They were able to develop comprehensive product plans that considered market segmentation, target audience, and competitive advantages. However, some candidates lacked depth in their strategic thinking and failed to provide innovative and unique strategies to differentiate their products in the market.Section 4: Product Launch and CommercializationThe fourth section of the examination focused on product launch and commercialization. Candidates were assessed on their knowledge and understanding of the activities involved in successfully introducing a new product to the market. The scoring range for this section was from 0 to 25 points.The performance of candidates in this section was satisfactory, with an average score of 20 points. Most candidates demonstrated their understanding of product launch strategies, including distribution channels, promotional activities, and sales forecasts. However, some candidates lacked depth in their knowledge of commercialization processes, such as intellectual property rights, supply chain management, and legal considerations. Improvement in these areas will further enhance their ability to successfully launch and commercialize a new product.ConclusionIn conclusion, the candidates who undertook the PDMA examination displayed a commendable level of knowledge andunderstanding in the field of product development and management. They showed a strong understanding of the product development process, market research, product planning, and product launch. However, there are areas where improvement is needed, such as advanced statistical analysis in market research and a deeper understanding of commercialization processes. Overall, this examination score report provides valuable insights that can guide candidates in their quest for excellence in product development and management.。

因湃电池数字化领域面试流程

因湃电池数字化领域面试流程

因湃电池数字化领域面试流程英文回答:Interview Process for Digitalization Domain at Envision Battery.The interview process for the Digitalization Domain at Envision Battery typically involves several stages:1. Initial Screening: The initial screening process involves a review of your resume and cover letter to determine if your skills and experience align with the requirements of the position.2. Phone Screening: If you are selected for a phone screening, you will be contacted by a recruiter or hiring manager to discuss your qualifications and experience in more detail.3. Technical Assessment: The technical assessment stagemay involve a coding challenge or a technical interview to evaluate your technical skills and knowledge.4. On-Site Interview: If you are successful in the technical assessment stage, you will be invited to an on-site interview. The on-site interview will typicallyconsist of a panel interview with several members of the hiring team, including the hiring manager, team members,and potential collaborators.5. Reference Checks: Once you have completed the on-site interview, the hiring team may conduct referencechecks to verify your experience and qualifications.中文回答:亿纬电池数字化领域面试流程。

让你的培训成体系DACUM分析法Workshop

让你的培训成体系DACUM分析法Workshop
• 拍照留存。组长保管好本组的《关键任务分析表》。 10分钟
岗位绩效支持
DACUM的产出成果
(1)工作职责和工作任务(Dacum分析表)
岗位说明书——薪酬、绩效
(2)知识、技能、态度
任职资格——招聘、培训
(3)绩效支持系统
软、硬件支持(工作辅助工具)
Follow me KSA 大融合
• 每个小组1、2、3报数,分为K、S、A三组。 • 三组成员分别将前任组员讨论出的相应内容写到大白纸上,按
• 表述简练——动、定、宾
• 组长把控,合并归类、删减取精
• 最终每条写在一张1/4彩色A4纸上
• 贴到墙上对应的工作职责右边,并按顺序为任务编号。
10分钟
头脑风 逻辑梳 匹配

理 核对
关键任 关键任 务选取 务分析
(三)匹配核对
仿佛面缺请对了注逻点辑意什梳么开理呢始的?时结我果们,做你的有没头有脑觉风得暴~
研究结果表明,由岗位优秀工作人员分析、确定 与描述的本岗位工作内容与所需的能力,更加符合 实际工作的需要,而且十分具体、准确。
= 教学计划开发方法
KSA 各项任务 岗位工作内容
1 DACUM的分析对象
岗位
(1)具体到最小的工作单元 (2)层级不同,结果不同
2 DACUM的参与者
领导和主题专家(SME)
5 DACUM流程
头脑风 逻辑梳 匹配核 关键任 关键任



务选取 务分析


头脑 风暴
逻辑梳 匹配核


关键任 关键任 务选取 务分析
(一)头脑风暴
共识:我们要讨论的是哪个岗位?
思考:在这个岗位上,需要胜任者 完成哪些任务?

《运营管理》课后习题答案

《运营管理》课后习题答案

Chapter 02 — Competitiveness, Strategy, and Productivity3. (1) (2) (3) (4) (5)(6)(7)Week Output WorkerCost@$12x40OverheadCost @1。

5MaterialCost@$6TotalCostMFP(2)÷(6)1 30,000 2,880 4,320 2,700 9,900 3。

032 33,600 3,360 5,040 2,820 11,220 2。

993 32,200 3,360 5,040 2,760 11,160 2。

894 35,400 3,840 5,760 2,880 12,480 2.84*refer to solved problem #2Multifactor productivity dropped steadily from a high of 3。

03 to about 2.84.4。

a。

Before:80 ÷ 5 = 16 carts per worker per hour.After:84 ÷ 4 = 21 carts per worker per hour。

b。

Before:($10 x 5 = $50)+ $40 = $90;hence 80 ÷ $90 = 。

89 carts/$1。

After: ($10 x 4 = $40)+ $50 = $90;hence 84 ÷ $90 = .93 carts/$1。

c. Labor productivity increased by 31.25% ((21-16)/16).Multifactor productivity increased by 4。

5% ((。

93—。

89)/.89).*Machine ProductivityBefore: 80 ÷ 40 = 2 carts/$1.After:84 ÷ 50 = 1.68 carts/$1。

mkad方法 -回复

mkad方法 -回复

mkad方法-回复MKAD方法是一种常用的问题解决方法,它以M(mission)、K(know-how)、A(action)和D(details)四个步骤为基础。

下面将详细介绍每个步骤的内容,并给出实际案例进行解释说明,以帮助读者更好地理解和应用这一方法。

第一步:任务(Mission)在MKAD方法中,任务(Mission)是问题解决的起点。

首先,我们需要明确具体的任务或目标是什么,即要解决的问题是什么。

将任务明确化可以帮助我们更好地整理思路和制定解决方案。

例如,假设你的任务是提高公司的销售额。

那么,你可以将任务明确为:制定一套有效的销售策略,以实现销售额的提升。

第二步:知识和方法(Know-how)知识和方法(Know-how)是指解决问题所需的知识和技能。

在这一步中,我们需要了解相关的知识和方法,以便在解决问题时能够正确地运用它们。

继续以上面的例子为例,为了制定一套有效的销售策略,你需要了解市场营销、销售技巧、客户行为等方面的知识。

可以通过阅读书籍、相关的学术研究、参加培训课程等方式来获取这些知识。

同时,你也可以与具有丰富销售经验的人士进行交流,了解他们的成功经验和方法。

第三步:行动(Action)行动(Action)是将我们所掌握的知识和方法应用于实际解决问题的过程。

在这一步中,我们需要充分利用已经获得的知识和技能,制定并执行解决问题的计划。

回到我们的例子中,你可以制定一个包含市场调研、制定策略、培训销售人员、推广等环节的销售提升计划。

然后,根据计划的步骤和时间表,逐步实施。

同时,需要不断监测和评估结果,根据实际情况进行调整和优化。

第四步:细节(Details)细节(Details)是指在解决问题的过程中应该关注的具体细节。

在这一步中,我们需要以周密的思考和详尽的规划来确保执行过程的顺利进行和结果的达成。

继续以上面的例子为例,你需要关注销售数据的收集和分析,确保数据的准确性和可靠性。

同时,还需要关注销售人员的培训和激励措施,确保他们能够全力以赴地推动销售额的提升。

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BMAN 21040- Intermediate Management AccountingWORKSHOP 2 – Semester 1Question 1 – Break even time analysisYummy Ltd built a reputation for its drinks combining the taste of beer with the energy boost provided by a sports drink. The company is planning to manufacture and sell a drink (‘Wheatylive’) which combines the health benefits of a wheatgrass shot with those of a biolive yoghurt drink.Management are aware that any competitive advantage the company gains is likely to be eroded quickly by competitors, therefore break even time is an important factor in whether to continue with their plans for the new drink.The cash flow data below have been provided by the development, production and sales department, and relate to the new product, which is currently under development.In order to produce ‘Wheatylive’, new production equipment will be needed, as the current production lines cannot be adapted to produce the new product. Also included in the direct costs are the costs estimated for a major marketing campaign which will focus on selling the product to health clubs.Amounts in £’000Notes:The depreciation expense referred to relates to the additional depreciation on the machinery purchased for this project.The allocated overhead costs referred to relate to head office costs, which will are not expected to change in totality if the new product is launched. Yummy Ltd has a policy of allocating the head office costs across all products in their range.The additional interest costs referred to relate to the loans taken out specifically to finance this project.The firm’s cost of capital can be approximated to 12% per annum. The table (below) shows the present value of a single payment received n years in the future discounted at x% per year:Discount Table showing PV of £1 Cash Paid/ Received at End of Year (12% rate)Required1.Calculated the break-even time for the ‘Wheatylive’ dri nk.2.What other factors might Yummy Ltd’s management consider before makinga decision about whether to launch this new product?Question 2: Naff Toys Ltd (target costing)Naff Toys Ltd are currently planning to add a new children's game to their ‘Animal Antics’range. They have conducted a major market research exercise on "Angry Rhinos" a game where 2/4 battery operated rhinos charge at each other in a jungle setting, the object being to push the opponent over. The marketing report has identified a large market in the 8 -12 age range, however to guarantee the necessary market share the selling price must not exceed £15.00 per unit, and to contribute the company's long term profitability plan each unit must generate a profit margin of 40%.T he following information on potential customers’ requirements and value functions has also been compiled in this exercise and are listed in the following table:The total of the Hard (Use/Mechanical) functions were weighted 45% and the total of the Soft (Value/Convenience) functions were weighted 55%.REQUIRED:a)Calculate the target cost and value index for each of the above functions andidentify the functions where cost reduction efforts should be targeted. Value index: This is a measure that can be used to indicate how much of a product’s value relates to particular functions/inputs. It is calculated as:Projected actual cost of function(% weighting of type of function –hard or soft x % weighting within hard or soft category x target cost of product overall)Where the value index is significantly greater than 1, it means that the projected actual cost is greater than the target cost and so value engineering might be focused on that particular function, as an area where there might be scope for cost reductions.For example, hard functions have a 45% weighting. Within the hard functions, 40% of the importance of the hard functions is ‘move rhinos’. So the overall weighting of the ‘move rhinos’ function is (45 x 40)/100 = 18%. Once you have calculated the overall target cost of the product, you can multiply it by 18% to get the target cost of the ‘move rhinos’ function. This can then be compared with the projected actual cost of this function which is £1.75 (in the table above).b)Discuss the advantages of using the value index over conventional productcosting in cost reduction exercises using examples from the question to illustrate your answer.c)Describe how Activity-Based Costing can be integrated with functionalanalysis and the potential advantages which may result.。

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