文献翻译-系统分析的方法

合集下载

文献翻译-多路数据采集与分析系统的设计及应用

文献翻译-多路数据采集与分析系统的设计及应用

附录五中英文资料Multi-channel data collection and analysisof the design and applicationAbstract:The Paper mainly introduces a multichannel data acquisition and analysis system composed of one PC and one measuring instrument. The system can test eight products parallelly. It reduces the test cost and improves work efficiency. The paper also gives the hardware structure and software flow diagr am of the system. The application in the gyro test is also introduced briefly.Key words:communication prot;data acquisition; gyro; testWith the development of computer technology and the digital measuring instrument, usually by computer and measuring instruments to communicate with each other in real-time data collection and use of computer powerful computing capability to conduct the analysis of the data processing. Particularly in the large volume of data, measuring the length of time occasions, such as the Gyro-tilt test, using computer for automatic control of measuring instruments, automatic data acquisition and analysis it is particularly important, can save a lot of manpower and material resources to improve work efficiency, reduce costs , The conventional method of testing is usually a measuring instrument at the same time can only test a product, namely a computer and a measuring instrument test system can only be composed of serial testing. To test multiple products at the same time, they need multiple systems, testing products in large volume, low efficiency, such as the composition of several sets of test system, an increase of cost. First on a machine with a PC and a measuring instrument consisting of 8-way data collection and analysissystem, which can carry out multiple sets of product testing, at no additional cost on the basis of a computer give full play to the advantages of automatic test, Improve work efficiency.1 PrincipleThe system hardware and software system. A PC through a RS232 port and a measuring instrument connected, PC-parallel port (LPT) and an 8-way channel selector attached to a 8-way connector will channel selector were connected with a number of test products.The working principle as shown in Figure 1. The course of testing, computer through the parallel port 8-way control channel selection, were open different channels, each channel for data transmission by choosing to measuring instruments, measuring instruments through the RS232 port to the computer data sent to save, A complete cycle of all channels of data collection, and this has also tested a number of product features.Figure 1 system block diagram of workThroughout the course of testing, all the control operations have completed the software automatically, without human intervention.2 hardware designThe system is mainly to use the computer onboard RS232 communication ports and digital measuring instrument of communication port connecting communications, re-use LPT parallel port on a 8-way channel selector for access control. 8-way channel of choice for an 8-elected one of analog switches and related circuit, the control signals from the computer's parallel port to provide and meet shown in table 1.Table1 The relation between channel selection and port output8-way channel selector industry can use the SCM, subject to additional controls, select RS232 serial port as data transmission, because the RS232 port is the computer and measuring instruments on the standard configuration, communicate with each other without additional hardware , Easy to use. In addition, a serial communication-only a bit, with only a standard data-voltage potential, hence more difficult in data errors. In a parallel port to transfer data 8-bit, data transmission speed, but the data vulnerable to interference. Transmission distance in a shorter amount of data transmission larger circumstances, may be parallel port (such as GPIB, LPT, etc.) to communicate. In addition, since LPT parallel port may signal transmission, channel selection is suitable for the control port.System in the course of work, good access control modules and data acquisition module synchronization is particularly important because different channels of datastorage needs of the corresponding data buffer pool, which is controlled by software.3 software designThe whole system software design is the most important part. Software system from the bottom of the communication protocol can be divided into functional three-tier module and user interface. Software design in the use of multi-threaded Windows technology, the technology for data collection procedures can effectively accelerate the reaction time and increase the efficiency of implementation. The procedures used in a separate thread for data collection, so the guaranteed maximum energy collection of real-time; using another thread at the same time data processing, such procedures to avoid a single-threaded the same time only the implementation of a functional deficiencies. Especially when the amount of data collection, data processing task, using multi-threaded technology will greatly improve the efficiency of the system as a whole.3.1 Data Acquisition ModuleData acquisition modules to eight channels of data in a cycle of all the acquisition to the computer, and save the channel, and the corresponding data in the buffer. Its procedures diagram shown in Figure 2.Fig 2 Flow diagram of data acquisitionAt the beginning of procedures, with the choice of control and store data buffer at the same time to switch to the same channel, 8-way data collection cycle and command judgement, in the end not received orders, has recycling collection to do.Multi-channel data acquisition process the data vulnerable to interference, especially in the fast-channel switching, the data vulnerable to fluctuations, as shown in Figure 3. At this time if the data collection, will be collecting the wrong data, the need to add some software algorithms to prevent this from happening. If we develop the automated data tracking algorithm to automatically track each channel data to determine whether the channel in a stable state, and only the stability of dataacquisition, the volatility of other data. In addition, the software can also add some filtering algorithm (such as limiting filter, etc.) to filter out man-made interference or other factors caused by the mutation data. Limiting filter for(1)Figure 3 channel switching, the data volatilityWhen the new collected data and the data before a difference to the absolute value of more than one set of values that the data is invalid, and the previous data from the current data.3.2 Data Analysis ModuleIn the data analysis module can be added if the algorithm analysis, graphics display and print output, and other useful features, such as gyroscopes and stability in the standard deviation algorithm can function in the course of testing real-time calculation of zero stability, and through chart shows. Zero stability calculation formula as follows:(2)According to first-(2) to prepare an algorithm function, and then call in the analysis module. Analysis module diagram of the procedure shown in Figure 4.Figure 4 data analysis process flow chartBecause the system uses multi-threaded technology, in the cycle of operation and will not affect the acquisition module's operation. The module also in its algorithm in the function of any expansion, forming a algorithm to adapt to different procedures for data analysis.In addition, software design, a friendly user interface is necessary in the process of the functions from the package, through a unified interface to users, to reduce operating difficulties and enhance efficiency.4 system test resultsFigure 5 to 8 in the analysis of data acquisition systems, at the same time two three-axis gyro and a single axis gyroscope total of seven road test data of thesituation. Its precise data collection, data analysis can be conducted at the same time, and through real-time charts, user-friendly, easy to operate.Figure 5 8 Data Collection and Analysis System5 ConclusionMulti-channel data acquisition and analysis system for the hardware requirements simple, easy to set up, can be applied to various tests occasions, it can also test multiple products, thereby reducing the cost and enhance efficiency. As a result of a multi-threaded technology, the speed of data acquisition systems and hardware only (instrument) and the response speed of the speed of Communication. With the collection and analysis software algorithm has nothing to do.PAD programming tools can be used to develop a data collection, data analysis, graphics display and print output, and other powerful features and friendly user interface of our software. Software modular design and easy to carry out expansion, according to different algorithm for data analysis at the request of upgrades, and hardware can remain the same. The system give full play to the use of computers and measuring instruments of mutual communication, automation and test advantage.多路数据采集与分析系统的设计及应用摘要:介绍了用一台PC机和一台测量仪表组成的8路数据采集与分析系统。

文献翻译-系统分析的方法

文献翻译-系统分析的方法

外文资料翻译The Methodology of Systems AnalysisFor a system analysis to be undertaken,someone must think there is a problem-or at least recognize the possibility that a problem exists.That is,he must be dissatisfied with the current or anticipated state of affairs and want help in discovering how to bring about a change for the better.Systems analysis can almost always provide help,even if it does no more than turn up relevant information or indicate that certain actions offer little hope of bringing about improvement.In most circumstances,the analysis may even discover a course of action that will bring about the desired change,a course that can be recognized as the advantageous and implemented by those with authority to act.Systems analysis can also be used to present factual arguments and reliable information to help win acceptance for a proposed couse of action.In addition,it can help to prevent the chosen course from being rendered ineffective by adverse interests,misinterpretations,or unanticipated problems.Although a system analysis may be carried out without a specific user or set of users in mind,such work is not likely to have much influence other than to inform public debate.Decisionmaker is assumed to be an individual who wants to make decisions as rationally as possible by taking into consideration the probable consequences of each available course of action-selecting the "best"action by balancing its cost against the extent to which it helps to achieve his objectives and possible other benefits.The analyst's basic procedure is to determine what the decisionmaker wants,search out his feasible alternatives,work out the consequences that would follow the decision to adopt each of the alternatives,and then,either rank the alternatives in terms of their consequences according to criteria specified by the decisionmaker,or present the alternatives with their consequences to the decisionmaker for ranking and choice.In reality,the decisionmaking situation is rarely so uncomplicated.Theperson for whom a study is done is ususlly but one of many participants in a decisionmaking process,and he must use the results of the analysis as evidence and argument to bring the others to his point of view before acting.In some cases the decisions cannot be separated from the managerial,organizational,and political situation in which they are made,and the model we are assuming for the decisionmaker(called the rational actor model,or model I by Allison)must be supplemented or modified by bringing in organizational and political considerations.Nevertheless,as Allison remarks,"For solving problems.a model I-style analysis provides the best first cut. Indeed,for analyzing alternatives and distinguishing the preferred proposal,there is no clear alternative to this basic framework."This is the basic,unsophisticated view of the decisionmaking situation.As an example to illustrate the basic procedure,assuming that a legislative committee wants to propose legislation to increase highway safety,it is willing to consider three alternatives:a requirement for devices to make the use of seat belts automatic,lowering the maximum speed limit and enforcing it more strictly,and establishing higher standards for issuing driver's licenses.They ask the legislative analyst to carry out a systems analysis.It is useful to consider aproblem of thes type in terms of these elements: Objectives——what the decisionmaker desires to achieve.In the example,the objective is the problem,the alternatives may be policies,strategies,designs,actions,or whatever it appears might attain the objective.In the example,although the alternatives are limited to three types, within each type there are many possibilities to consider.Consequences——the results that would ensure were the alternatives to be adopted and put into effect.In the highway safety example,if the alternative of a lower maximum speed limit with stricter enforcement were implemented,a positive consequence(abenefit)would be a lower rate of fatal highway accidents;a negative consequence(a cost)would be the need for more police officers to be hired or taken from other tasks.Criteria——rules or standards that specify in terms of consequences(orsome subset of them)how the alternatives are to be ranked in order of desirability.For example,a possible criterion might be to rank the alternatives in decreasing order of the ratio of the reduction in the annual number of fatalities from implementing the alternative to the expenditure of public funds required.Model——an abstraction,a set of assumptions about some aspect of the world,either real or imaginary,intended to clarify our view of an object,process,or problem by retaining only characteristics essential to the purpose we have in mind.It is a simplified conceptual or physical image that may be used to investigate the behavior of a system or the result of an action without altering the system or taking the action.A model is made up of factors relevant to the problem and the relations among them essential to the purpose in mind.A model may take many forms.some common types are a set of tables,a series of mathematical equations,a computer program,or merely a mental image of the situation held by someone contemplating an action.In most systems analyses explicit models are normally used for predicting both the context and environment in which the alternatives are to be implemented and their associated consequences.This is necesary because the factors are usually so numerous and their interrelations so complex that intuition and mental models are not adequate to handle the large number of factors and their intricate relations.Predicting consequences is not the only,or even the first,use of models in a system analysis.It is however,the most prominent use,for such models are likely to be elaborate and programmed for a computer,whereas many other models may be no more than well-thought through concept.In our example many different models are needed to estimate the results for the alternatives,and their consequences are of different types.In our example an early problem for the analysis is to fend a way to turn the vague goal of increased highway safety into something of a more operational character——in other words,to settle on a way to measure it .Onemeasure might be the reduction in annual number of fatalities;another might be the reduction in the annual(monetary)cost of highway accidents to the victims.Another task for the analyst is to check the alternatives for feasibility.It might turn out the alternative of automated seat belts is not feasible owing to public unacceptability.If this alternative were far superior to all the others i n increasing safety,the decisionmaker would probably want to investigate the cost and effectiveness of a campaign to change public opinion.The analyst will also want to search for and examine alternatives not on the original list——such things as better emergency ambulance service,eliminating unguarded railroad crossings,and changed car design——for these alternatives may promise increased highway safety at less cost than those on the original list,and,when presented with supporting calculations,may lead the decisionmakers to expand the list of possibilities they are welling to consider.Indeed,the discovery,invention,or design of new and better alternatives is often the real payoff from systems analysis.In predicting the results associated with the various alternatives,the analyst may have to use radically differing models or methods.A model to show the effect of improved driving skills on the number of fatalities can differ considerably from a model to predict the way a lower speed limit affects fatalities.On the other hand ,predictions for both cases may be obtained statistically from experiences in other jurisdictions with similar driving conditions.In comparing alternatives various future contexts may also have to be considered,with predictions or conjectures made about the effects of,for instance,a petroleum shortage on automobile traffic and other exogenous factors beyond the decisionmakers' control.One run-through of the set of procedures is seldom enough.Several cycles or iterations are almost always necessary to refine the first models and assumptions,and thus increase one's confidence in the outcomes.系统分析的方法进行系统分析时,人们一定认为存在某个问题,或至少应该认识到存在某个问题的可能性。

层次分析法---文献翻译

层次分析法---文献翻译

层次分析法---文献翻译888大学毕业设计(论文)文献翻译题目层次分析法院、系(部) 计算机科学与技术学院专业及班级计科0903班姓名 888 指导教师 888 日期 2013年3月Analytic Hierarchy ProcessThe Analytic Hierarchy Process (AHP) is a structured technique for helpingpeople deal with complex decisions. Rather than prescribing a "correct" decision, the AHP helps people to determine one that suits their needs and wants. Based on mathematics and psychology, it was developed by Thomas L. Saaty in the 1970s and has been extensively studied and refined since then. The AHP provides a comprehensive and rational framework for structuring a problem, for representing and quantifying its elements, for relating those elements to overall goals, and for evaluating alternative solutions. It is used throughout the world in a wide variety of decision situations, in fields such as government, business, industry, healthcare, and education.Several firms supply computer software to assist in using the process.Users of the AHP first decompose their decision problem into a hierarchy of more easily comprehended sub-problems, each of which can be analyzed independently. The elements of the hierarchy can relate to anyaspect of the decision problem—tangible or intangible, carefully measured or roughly estimated, well- or poorly-understood—anything at all that applies to the decision at hand.Once the hierarchy is built, the decision makers systematically evaluate its various elements, comparing them to one another in pairs. In making the comparisons, the decision makers can use concrete data about the elements, or they can use their judgments about the elements' relative meaning and importance. It is the essence of the AHP that human judgments, and not just the underlying information, can be used in performing the evaluations.The AHP converts these evaluations to numerical values that can be processed and compared over the entire range of the problem. A numerical weight or priority is derived for each element of the hierarchy, allowing diverse and often incommensurable elements to be compared to one another in a rational and consistent way. This capability distinguishes the AHP from other decision making techniques.In the final step of the process, numerical priorities are derivedfor each of the decision alternatives. Since these numbers represent the alternatives' relative ability to achieve the decision goal, they allow a straightforward consideration of the various courses of action.Uses and applicationsWhile it can be used by individuals working on straightforward decisions, Analytic Hierarchy Process (AHP) is most useful where teamsof people are working on complex problems, especially those with high stakes, involving human perceptionsand judgments, whose resolutions have long-term repercussions. Ithas unique advantages where important elements of the decision are difficult to quantify or compare, or where communication among team members is impeded by their different specializations, terminologies, or perspectives.Decision situations to which the AHP can be applied include:, Choice - The selection of one alternative from a given set of alternatives,usually where there are multiple decision criteria involved., Ranking - Putting a set of alternatives in order from most toleastdesirable Prioritization - Determining the relative merit of a setofalternatives, as opposed to selecting a single one or merely ranking them, Resource allocation - Apportioning resources among a set of alternatives, Benchmarking - Comparing the processes in one's own organization withthose of other best-of-breed organizations, Qualitymanagement - Dealing with the multidimensional aspects of quality and quality improvementThe applications of AHP to complex decision situations have numbered in the thousands, and have produced extensive results in problems involving planning, Resource allocation, priority setting, and selection among alternatives. Other areas have included forecasting, toreotal quality management, business process re-engineering ,quality function deployment, and the Balanced Scorecard.ManyAHP applications are never reported to the world at large, because they take place at high levels of large organizations where security and privacy considerations prohibit their disclosure. But some uses of AHP are discussed in the literature. Recently thesehave included:, Deciding how best to reduce the impact of global climate change (Fondazione Eni Enrico Mattei), Quantifying the overall quality of software system(Microsoftcorporation), Selecting university faculty(Bloomsburg University of Pennsy), Deciding where to locate offshore manufacturing plants(University ofCambridge), Assessing risk in operating cross-country prtroleumpipelines(AmericanSociety of Civil Engineers), Deciding how best to manage U.S. watersheds(U.S. Department of Agriculture)AHP is sometimes used in designing highly specific procedures for particular situations, such as the rating of buildings by historic significance. It was recently applied to a project that uses video footage to assess the condition of highways inVirginia. Highway engineers first used it to determine the optimum scope of the project, then to justify its budget to lawmakers.AHP is widely used in countries around the world. At a recent international conference on AHP, over 90 papers were presented from 19 countries, including the U.S., Germany, Japan, Chile , Malaysia, andNepal. Topics covered ranged from Establishing Payment Standards for Surgical Specialists, to Strategic TechnologyRoadmapping, to Infrastructure Reconstruction in Devastated Countries. AHP wasintroduced in China in 1982, and its use in that country has expanded greatly since then—its methods are highly compatible with the traditional Chinese decision making framework, and it has been used for many decisions in the fieldsofeconomics,energy,management,environment,traffic,agriculture, industry, and the military.Though using AHP requires no specialized academic trainning, the subject is widely taught at the university level—one AHP software provider lists over a hundredcolleges and universities among its clients. AHP is considered an important subject in many institutions of higher learning, includingschools of engineering and Graduate school of Business . AHP is also an important subject in the quality field, and is taught in many specialized courses including Six Sigma, Lean Six Sigma, and QFD.In China, nearly a hundred schools offer courses in AHP, and many doctoral students choose AHP as the subject of their research and dissertations. Over 900 papers have been published on the subject inthat country, and there is at least one Chinese scholarly journal devoted exclusively to AHP.ImplementationAs can be seen in the examples that follow, using the AHP involves the mathematical synthesis of numerous judgments about the decision problem at hand. It is not uncommon for these judgments to number in the dozens or even the hundreds. While the math can be done by hand or with a calculator, it is far more common to use one of several computerized methods for entering and synthesizing the judgments. The simplest of these involve standard spreadsheet software, while the most complex use custom software, often augmented by special devices for acquiring the judgmentsof decision makers gathered in a meeting room.Steps in using the processThe procedure for using the AHP can be summarized as:1. Model the problem as a hierarchy containing the decision goal,the alternativesfor reaching it, and the criteria for evaluating the alternatives.2. Establish priorities among the elements of the hierarchy bymaking a series ofjudgments based on pairwise comparisons of the elements. For example, whencomparing potential real-estate purchases, the investors might say they preferlocation over price and price over timing.3. Synthesize these judgments to yield a set of overall prioritiesfor the hierarchy.This would combine the investors' judgments about location, priceand timingfor properties A, B, C, and D into overall priorities for each property.4. Check the consistency of the judgments.5. Come to a final decision based on the results of this process.CriticismsThe AHP is now included in most operations research and management science textbooks, and is taught in numerous universities; it is used extensively in organizations that have carefully investigated its theoretical underpinnings. While the general consensus is that it isboth technically valid and practically useful, the method does have its critics.In the early 1990s a series of debates between critics andproponents of AHP was published in Management Science and The Journal of the Operational ResearchSociety. These debates seem to have been settled in favor of AHP.Occasional criticisms still appear. A 1997 paper examined possible flaws in the verbal (vs. numerical) scale often used in AHP pairwise comparisons. Another from the same year claimed that innocuous changesto the AHP model can introduce order where no order exists. A 2006 paper found that the addition of criteria for which all alternatives perform equally can alter the priorities of alternatives. An in-depth paper discussing the academic criticisms of AHP was published in Operations Research in2001.Most of the criticisms involve a phenomenon called rank reversal, discussed inthe following section.Rank reversalMany people hear about rank reversal and assume that there is some sort of proven principle about it that needs to be upheld in making decisions. That assumption has led to much misunderstanding of AHP and other decision making techniques. In actuality, rank reversal is a complex matter about which there are many conflicting ideas and opinions. This section offers a simplified explanation of the situation.Decision making involves ranking alternatives in terms of criteriaor attributes of those alternatives. It is an axiom of some decision theories that when new alternatives are added to a decision problem, the ranking of the old alternatives must not change. But in the real world, adding new alternatives can change the rank of the old ones. These rank reversals do not occur often, but the possibility of their occurrencehassubstantial logical implications about the methodology used to make decisions, the underlying assumptions of various decision theories, etc.A simple example will demonstrate the phenomenon of rank reversal: Consider a pretty girl in a small town. She's having a party next week, and she wants to buy a dress that will impress her guests. She visitsthe town's only dress store and goes to the rack of party dresses. There are five such dresses, and after long consideration she ranks them by desirability as follows:Rank Style Color Price1 Style A Blue $1092 Style A Green $1093 Style B Red $1194 Style C Yellow $995 Style D Off-White $149Now imagine that she enters the back room and sees the store'sentire inventory of dresses. The dresses she has looked at in Styles B, C, and D are the only ones of their kind, but there are four more StyleA dresses in green and eight more Style A dresses in blue. In the language of decision science, these dresses are copies of the existing alternatives. In our one-store small town scenario, there's a reasonable chance that one or more party guests would buy and wear one of the copies.When made aware of these new alternatives, our fashion-consciousgirl might rank her choices in a different order. Considering her great embarrassment if a guest were to wear the same dress that she did, she might rank her choices like this:OldRank Style Color PriceRank1 3 Style B Red $1192 4 Style C Yellow $993 5 Style D Off-White $1494 2 Style A Green $1095 1 Style A Blue $109Notice that the rankings of the two Style A dresses have reversed (since there are more copies of the blue dress than of the green one). Not only that, but Style A has gone from the most preferred style to the least preferred. Rank reversal has occurred. Axioms of decision theories have been violated. Scholars and researchers can cry"foul," or impugn the method by which the girl has made her choice, but there is no denying that in the world of our example, ranks havebeen reversed. There is no doubt that the reversal is due to the introduction of additional alternatives that are no different from the existing ones.The above is but one example of rank reversal. Rank reversal canalso occur when additional alternatives are added/removed that are not copies of the original alternatives (e.g., red and yellow dresses in completely different styles). Another example of rank reversal occurred in the 2000 U.S. presidential election. Ralph Nader was an 'irrelevant' alternative, in that he was dominated by both the Democrat and Republican candidates. However, since he attracted more votes from those who would have voted Democrat rather than Republican, his presence caused the ranks to reverse. Put another way, if Nader were not in the race, it is widely accepted that Al Gore would have won.There are two schools of thought about rank reversal. One maintains that new alternatives that introduce no additional attributes should not cause rank reversal under any circumstances. The other maintains that there are both situations in which rank reversal is not reasonable as well as situations where they are to be expected. The current version of the AHP can accommodate both these schools — its Ideal Mode preserves rank, while its Distributive Mode allows the ranks to change. Either mode is selected according to the problem at hand.层次分析法层次分析法(AHP)是一种帮助人们处理复杂决策的结构化技术,比起一种指定的“正确”的方法,层次分析法能帮助人们决定哪一种是更适合他们的需求。

第七章系统评价的方法与评价原则2012

第七章系统评价的方法与评价原则2012

(二)检索文献
系统、全面地收集所有相关的文献资料是系统评价与叙述性文献 综述的重要区别之一。为了避免出版偏倚和语言偏倚,应围绕要解决 的问题,按照计划书中制订的检索策略(包括检索工具及每一检索工 具的检索方法),采用多种渠道和系统的检索方法。除发表的原著之 外,还应收集其他尚未发表的内部资料以及多语种的相关资料。 除了利用文献检索的期刊工具及电子光盘检索工具(Medline、 Embase、Scisearch、Registers of clinical trials)外,系统评价还强调 通过与同事、专家和药厂联系以获得未发表的文献资料如学术报告、 会议论文集或毕业论文等;对已发表的文章,由Cochrane协作网的工 作人员采用计算机检索和手工检索联合的方法查寻所有的随机对照试 验,建立了Cochrane对照试验注册库和各专业评价小组对照试验注册 库,既可弥补检索工具如MEDLINE等标识RCT不完全的问题,也有 助于系统评价者快速、全面获得相关的原始文献资料。
性的作用。
系统评价本身只不过是一种研究的方法学,并不仅限于随机对照试验或 仅对治疗措施疗效进行系统评价。 根据研究的临床问题不同,系统评价可分为病因、诊断、治疗、预后、 卫生经济评价和定性研究等方面的系统评价; 根据系统评价纳入的原始研究类型不同,可分为临床对照试验和观察性 研究的系统评价,前者如随机对照试验和非随机对照试验的系统评价,后者 如队列研究和病例-对照研究的系统评价; 根据进行系统评价时纳入原始研究的方式,可分为前瞻性、回顾性和累 积性系统评价; 根据资料分析时是否采用统计学方法(Meta-分析),可分为定性和定 量的系统评价。 目前,由于根据随机对照试验所进行的系统评价在理论和方法学上较完 善及其论证强度较高,所以有关随机对照试验或评估治疗措施疗效的系统评 价较多,而其他类型的系统评价如诊断试验、病因学研究、非随机试验等正 在研究之中。

外文文献翻译---基于 Web 的分析系统

外文文献翻译---基于 Web 的分析系统

文献翻译基于 Web 的分析系统院(系)名称信息工程学院专业名称软件工程英文译文基于Web 的分析系统马克斯科特,约翰琳1 摘要在使用分析型数据库时,分析人员将数据归入公用组,并尝试确定条件变化时产生的结果。

例如,提高产品价格会增加单位利润,但可能会减少销量ù会产生较高还是较低的总利润?或者,联邦贴现率的下降会如何影响房地产贷款的收益?为了帮助分析人员根据历史趋势做出有根据的预测,Microsoft 在SQL Server 2000 中提供了分析服务,在SQL Server 7.0 中提供了OLAP 服务。

这些服务都提供OLAP 功能,能够将存储在SQL Server(或任何其他OLE DB 兼容的数据源)上的数据处理成多维数据结构,称为多维数据集。

多维数据集简化了趋势分析和建立实体间交互方式联系的过程。

例如,房地产投资者采用现金流模型来区分一组具有共同特征(如:地产类型、地理位置和利率范围)的贷款,并预测各种事件的影响。

如果贷款提前偿还或者借款人违约,后果将会如何?此类不可预测的事件会如何影响贷款所担保的债券的收益。

从包含几百笔贷款的清单中选择并区分具有分析特征的贷款是需要相当技巧的。

分析服务和OLAP 服务有助于在各组贷款间建立联系,以便分析人员能够建立贷款假设模型。

为了帮助客户的房地产分析人员预测商业抵押证券的业绩,我们的开发小组需要设计一个以各种方式(如:利率、到期期限或地产位置)来简化贷款分类的系统。

其界面应易于学习和使用。

而且,所开发的系统需要在Internet 上进行安全的部署。

为了满足这些要求,开发小组选择了分析服务。

2 在Web上部署Office在选定了后端技术后,开发小组开始制订实现前端界面的计划。

多数金融分析人员使用Microsoft Excel,他们对其界面比较熟悉,感觉也很舒服。

Excel 包括数据透视表服务,能够允许分析人员连接到分析服务数据库。

Excel 的拖放界面提供了对多维数据的简单和直观的访问,并不要求用户进行深入的培训。

中英文文献翻译-举升系统失效分析

中英文文献翻译-举升系统失效分析

附录附录ALifting sytem failure analysisBelow a certain brand can explain a type of lift accident .Because lifting machine structure is more complicated ,e to maintenance enterprise use it frequently in work under high load ,We have to consider its damaged condition. actual use, as repeated wear and tear of fatigue damage ,So anytime possible lifting system failure .If the downturn is likely to cause maintenance personnel injured and vehicles damaged .After the failure of the lift inspection, analysis, found its existence defects in design. This product for the mechanical lifting machine, uses the pin shaft transmission, driven by shaft lifting arm motion realization Auto lift. Unless the power cut off the motor car, driven shaft lifting stop failure analysis personnel of nantong product quality supervision, inspection ZouLei can observed. To effectively guarantee the safety, auto lift should lock up the device. In order to effectively To protect the security, automotive lift Should stop the browser and the backstop. From The Brand Lift of the occurrence of several Lapsed since the incident, the principal, Vice-nut at the same time lead to wear and tear due to strong Decreases occurred in the thread root cut Letter, which of course, and materials selection, Manufacturing quality, the use of maintenance due to Su-relevant, but imagine if Is an independent work of the backstop , And even in the absence of Vice-nut, so that The possibility of a thing you Moment of downtime in order to achieve things, it does not work independently of the stop device and the backstop , And only made use of the role of self-locking screw to prevent the decline in our care arm Know that the conditions for self-locking thread is the thread friction angle or Chaetoceros. It's an But to protect the whole body is fitted with a nut in the bottom of the main vice of the so-called Nut, through institutions linked synchronous rotation with the main nut. There is no denying that when the Lord, Vice-nut There is a certain gap between the, if nut the main event of an accident, child care Vice-nut will be on the arm and not the accidents. However, the main, the Deputy nut As the gap between the main nut and gradually reduce the wear and tear, when reduced to a Certain extent, it must be replaced with new ones of the main nut, otherwise, continue to use When the owners go, the gap between the Deputy nutcompletely disappear, the Lord, is Vice-nut Quality has become one, and act as security devices has been gradually Vice nut Until all the nuts to replace the main workload. At this point if an accident such as Thread occur due to wear and cut the root, see the attached map, security protection devices can play It should be the role to be sure, if the timely replacement of the main nut, can be avoided Some accidents, but not all users have the professional knowledge and Lord, the gap between the Vice-nut is not clear at a glance from the outside can, it is necessary to disassemble Therefore, the use of cars to check whether the lift should be independent Work backstop safety protection device, if not, be sure to strengthen the Inspection and timely replacement of drive nut to avoid accidents. If not, then, be sure to strengthening inspection and change in time transmission nut, lest produce an accident. The manufacturers character, also Should improve design.Hope so as to remind each manufacturer .译文举升系统失效分析下面是某个品牌的一次事故分析,因为起重机械结构比较复杂,维护企业使用它经常在工作在高负载时,我们必须考虑其受损的情况.实际使用中因为重复的磨损及疲劳损伤,所以随时可能发生举升系统的损坏事故。

文献检索系统及检索效率评价指标分析

文献检索系统及检索效率评价指标分析

文献检索系统及检索效率评价指标分析李辉【期刊名称】《《科技创业月刊》》【年(卷),期】2012(000)012【总页数】2页(P160-161)【关键词】文献检索; 检索效率; 综合指标【作者】李辉【作者单位】黑龙江科技学院图书馆黑龙江哈尔滨150027【正文语种】中文【中图分类】G252.71 文献检索系统的类型文献检索系统又叫文献情报检索系统,它是检索和提供文献线索、文献地址、文献目录、文献原文或文献复制件的一种常见的检索系统。

它是一个使情报用户需要同文献情报源之间相互联系,包含有文献情报资源,具备一定的物质载体与设备,能够提供一定检索技术手段的有机整体。

在文献检索系统中,文献描述体数据库,就是文献检索工具。

检索工具虽然是文献著录款目的集合,但它却包含了词表、索引等因素。

它是一种有形的实体,总是同一定的载体设备相联系,它必然具备一定的检索手段和潜力,并且总是体现着一定的用途、对象和目标。

实际上,检索工具就是检索系统的核心和概括。

文献检索系统的种类主要有:①书目检索系统。

书目检索系统包括传统的文摘、索引和目录、机读目录、联机目录以及提供书目数据库查询服务的系统;②全文检索系统。

全文检索系统包括传统的缩微检索系统、电子报刊、电子辞书以及能提供其它全文数据库查询服务的系统;③语段检索系统。

以语段作为存贮和检索单元,介于文献检索与事实检索之间。

2 文献检索系统的构成2.1 逻辑构成一个完整的文献检索系统通常包括以下六个方面,即六个子系统:(1)文献选择子系统,即检索工具对一定学科范围文献的覆盖面,摘贮率,以及对文献类型、文种与时间跨度的包含程度。

(2)词表子系统,即作为文献的存贮与检索两个方面的用来表达文献内容与提问内容的共同依据,词表(包括主题词表和分类表等)的规模(网罗度)与细分程度(专指度),是影响检索工具查全与查准潜力的重要因素。

(3)标引子系统,即根据一定的词表,将文献的主题内容经过概念分析,而翻译(转换)成检索系统语言的词汇。

信息系统外文文献翻译---系统的分析与设计

信息系统外文文献翻译---系统的分析与设计

附录1 外文翻译(原文)Systems Analysis and DesignWorking under control of a stored program, a computer processes data into information. Think about that definition for a minute. Any given computer application involves at least three components: hardware, software, and data. Merely writing a program isn't enough; because the program is but one component in a system.A system is a group of components that work together to accomplish an objective. For example, consider a payroll system. Its objective is paying employees. What components are involved? Each day,employees record their hours worked on time cards. At the end of each week, the time cards are collected and delivered to the computer center, where they are read into a payroll program. As it runs, the program accesses data files. Finally, the paychecks are printed and distributed. For the system to work, people, procedures, input and output media, files, hardware, and software must be carefully coordinated. Note that the program is but one component in a system.Computer-based systems are developed because people need information. Those people, called users, generally know what is required, but may lack the expertise to obtain it. Technical professionals, such as programmers, have the expertise, but may lack training in the user's field. To complicate matters, users and programmers often seem to speak different languages, leading to communication problems. A systems analyst is a professional who translates user needs into technical terms, thus serving as a bridge between users and technical professionals.Like an engineer or an architect, a systems analyst solves problems by combining solid technical skills with insight, imagination, and a touch of art. Generally, the analyst follows a well-defined, methodical process that includes at least the following steps;1.Problem definition2.Analysis3.Design4.Implementation5.MaintenanceAt the end of each step, results are documented and shared with both the user and the programmers. The idea is to catch and correct errors and misunderstandings as early as possible. Perhaps the best way to illustrate the process is through example.Picture a small clothing store that purchases merchandise at wholesale, displays this stock, and sells it to customers at retail. On the one hand, too much stock represents an unnecessary expense. On the other hand, a poor selection discourages shoppers. Ideally, a balance can be achieved: enough, but not too much.Complicating matters is the fact that inventory is constantly changing, with customer purchases depleting stock, and returns and reorders adding to it. [1] The owner would like to track inventory levels and reorder and given item just before the store runs out. For a single item, the task is easy-just count the stock-on-hand. Unfortunately, the store has hundreds of different items, and keeping track of each one is impractical. Perhaps a computer might help.2-1 Problem DefinitionThe first step in the systems analysis and design process is problem definition. The analyst's objective is determining what the user (in this case, the store's owner) needs. Note that, as the process begins, the user possesses the critical information, and the analyst must listen and learn. Few users are technical experts. Most see the computer as a "magic box, "and are not concerned with how it works. At this stage, the analyst has no business even thinking about programs, files, and computer hardware, but must communicate with the user on his or her own term.The idea is to ensure that both the user and the analyst are thinking about the same thing-Thus, a clear, written statement expressing the analyst's understanding of the problem is essential. The user should review and correct this written statement. The time to catch misunderstandings and oversights is now, before time, money and effort are wasted.Often, following a preliminary problem definition, the analyst performs a feasibility study. The study a brief capsule version of the entire systems analysis and design process, attempts to answer three questions:1.Can the problem be solved?2.Can it be salved in the user's environment?3.Can it be solved at a reasonable cost?If the answer to any one of these questions is no, the system should not be developed. Given a good problem definition and a positive feasibility study, theanalyst can turn to planning and developing a problem solution.2- 2 AnalysisAs analysis begins, the analyst understands the problem. The next step is determining what must be done to solve it. The user knows what must be done 1 during analysis; this knowledge is extracted and formally documented. Most users think in terms of the functions to be performed and the data elements to be manipulated. The objective is to identify and link these key functions and data elements, yielding a logical system design.Start with the system's basic functions. The key is keeping track of the stock-on-hand for each product in inventory. Inventory changes because customers purchase, exchange, and return products, so the system will have to process customer transactions. The store's owner wants to selectively look at the inventory level for any product in short supply and, if appropriate, order replacement stock, so the system must be able to communicate with management. Finally, following management authorization, the system should generate a reorder ready to send to a supplier.Fig 1Given the system's basic functions, the analyst's next task is gaining a sense of their logical relationship. A good way to start is by describing how data flow between the functions. As the name implies, data flow diagrams are particularly useful for graphically describing these data flows. Four symbols are used (Fig. 1). Data sources and destinations are represented by squares; input data enter the system from a source, and output data flow to a destination. Once in the system, the data are manipulated or change by processes, represented by round-corner rectangles. A process might be a program, a procedure, or anything else that changes or moves data. Data can be held for later processing in data stores, symbolized by open-ended rectangles. A data store might be a disk file, a tape file, a database, written notes, or even a person's memory.Finally, data flow between sources, destinations, processes, end data stores over data flows, which are represented by arrows.Fig 2Figure 2 shows a preliminary data flow diagram for the inventory system. Start with CUSTOMER. Transactions flow from a customer f into the system, where they are handled by Process transaction. A data store, STOCK, holds data on each item in inventory. Process transaction changes the data to reflect the new transaction. Meanwhile, MANAGEMENT accesses the system through Communicate, evaluating the data in STOCK and, if necessary, requesting a reorder. Once, a reorder is authorized. Generate reorder sends necessary data to the SUPPLIER, who ships the items to the store. Note that, because the reorder represents a change in the inventory level of a particular product or products it is handled as a transaction.The data flow diagram describes the logical system. The next step is tracing the data flows. Start with the destination SUPPLIER. Reorders flow to suppliers; for example, the store might want 25 pairs of jeans. To fill the order, the supplier needs the product description and the reorder quantity. Where do these data elements come from? Since they are output by Generate reorder, they must either be Input to or generated by this process. Data flow into Generate reorder for STOCK; thus, product descriptions and reorder quantities must be stored in STOCK.Other data elements, such as the item purchased and the purchase quantity are generated by CUSTOMER. Still others, for example selling price and reorder point, are generated by or needed by MANAGEMENT. The current stock-on-hand for a given item is an example of a data element generated by an algorithm in one of the procedures. Step by step, methodically, the analyst identifies the data elements to be input to .stored by, manipulated by, generated by, or output by the system.To keep track of the data elements, the analyst might list each one in a datadictionary. A simple data dictionary can be set up on index cards, but computerized data dictionaries have become increasingly popular. The data dictionary, a collection of data describing and defining the data, is useful throughout the systems analysis and design process, and is often used to build a database during the implementation stage.The idea of analysis is to define the system's major functions and data elements methodically. Remember that the objective is translating user needs into technical terms. Since the system starts with the user, the first step is defining the user's needs. Users think in terms of functions and data. They do not visualize programs, or files, or hardware .and during this initial, crucial analysis stage it is essential that the analyst think like a user, not like a programmer.Data flow diagrams and data dictionaries are useful tools. They provide a format for recording key information about the proposed system. Also, they jog the analyst's memory) for example, if the analyst doesn't have sufficient information to complete a data dictionary entry, he or she has probably missed something. Perhaps most importantly, the data flow diagram and the data dictionary document the analyst's understanding of the system requirements. By reviewing these documents, the user can correct misunderstandings or oversights. Finally, they represent an excellent starting point the next step, design.2-3 DesignAs we enter the design stage, we know what the system must do, and thus can begin thinking about how to do it. The objective is to develop a strategy for solving the problem. At this stage, we are not interested in writing code or in defining precise data structures; instead, we want to identify, at a black box level, necessary programs, files, procedures, and other components.The data flow diagram defines the system's necessary functions; how might they be implemented? One possibility is writing one program for each process. Another is combining two or more processes in a single program; there are dozens of alternative solutions. Let's focus on one option and document it.A system flowchart uses symbols to represent programs, procedures, hardware devices, and the other components of a physical system (Fig. 3). Our flowchart (.Fig.4) shows that transaction data enter the system through a terminal, are processed by a data collection program, and then are stored on an inventory file. Eventually, the inventory file is processed by a Report and reorder program. Through it, management manipulates the data and authorizes reorders.Fig. 4 on a system flowchart, symbols represent programs, procedures, hardware devices, and the other components of a physical system.Fig 3Look at the system flowchart. It identifies several hardware components, including a computer, a disk drive, a data entry terminal, a printer, and a display terminal. Two programs are needed; Process transaction and Report and reorder. In addition to t he hardware and the programs, we’ll need data structures for the inventory file and for data flaws between the I/O devices and the software. Note that this system flowchart illustrates one possible solution; a good analyst will develop several feasible alternatives before choosing one.Fig 4The flowchart maps the system, highlighting its major physical components. Since the data link the components, the next task is defining the data structures.Consider, for example, the inventory file. It contains all the data elements from the data store STOCK. The data elements are listed in the data dictionary. Using them, the file's data structure can be planned,How should the file be organized? That depends on how it will be accessed. For example, in some applications, data are processed at regular, predictable intervals. Typically, the data are collected over time and processed together, as a batch. If batch processing is acceptable, a sequential file organization is probably best.It is not always possible to wait until a batch of transactions is collected, however. For example, consider an air defense early warning system. If an unidentified aircraft is spotted it must be identified immediately the idea of waiting until 5 _ 00 p.m. because "that's when the air defense program is run" is absurd. Instead, because of the need for quick response, each transaction must be processed as it occurs. Generally such transaction processing systems call for direct access file.Our inventory system has two programs. One processes transactions. A direct access inventory file seems a reasonable choice. The other allows management to study inventory data occasionally; batch processing would certainly do. Should the inventory file be organized sequentially or directly? Faced with such a choice a good analyst considers both options. One possible system might accept transactions and process them as they occur. As an alternative, sales slips might be collected throughout the day and processed as a batch after the store closes. In the first system, the two programs would deal with direct access files; in the second system, they would be linked to sequential files. A program to process direct access data is different from a program to process sequential data. The data drive the system. The choice of a data structure determines the program’s structure. Note that the program is defined and planned in the context of the system.2- 4 ImplementationOnce the system's major components have been identified .we can begin to develop them. Our system includes two programs, several pieces of equipment, and a number of data structures. During implementation, each program is planned and written using the techniques described in Chapter 7. Files are created, and their contents checked. New hardware is purchased, installed, and tested. Additionally, operating procedures are written and evaluated. Once all the component parts are ready, the system is tested. Assuming the user is satisfied, the finished system is released.2- 5 MaintenanceMaintenance begins after the system is released. As people use it, they will suggest minor improvements and enhancements. Occasionally, bugs slip through debug and testing, and removing them is another maintenance task. Finally, conditions change, and a program must be updated; for example, if the government passes a low changing the procedure for collecting income taxes, the payroll program must be modified. Maintenance continues for the life of a system, and its cost can easily match or exceed the original development cost. Good planning, solid documentation, and well-structured programs can help to minimize maintenance cost.附录2 外文翻译(译文)系统的分析与设计在存储程序的控制下,计算机把数据处理成信息。

【计算机专业文献翻译】信息系统分析

【计算机专业文献翻译】信息系统分析

附录二Information Systems Analysis and DesignThis class reconstructs the classical computer science topics of "systems analysis and design" -- mapping information flows and data modeling -- within a framework derived from industrial design. Compared with the traditional approach, our focus of attention will shift from systems to services, mainframes to networks, the desktop to the street, organizational workplaces to institutionally organized relationships, cognition to physical activity, and individual users to communities of practice. The class will be organized around presentations by interdisciplinary teams, with minimal lecturing and written work. We will attend closely to the design process, and the teams' own experiences will become raw material for their projects.Two books are required: David G. Messerschmitt, Networked Applications: A Guide to the New Computing Infrastructure, Morgan Kaufman, 1999. This is an outstanding plain-language introduction to the structure of modern information systems.Donald A. Norman, The Invisible Computer, MIT Press, 1999. This is a polemic against the personal computer and in favor of a new generation of diverse and specialized computing devices.Another book is recommended:Jeffrey L. Whitten and Lonnie D. Bentley, Systems Analysis and Design Methods, fourth edition, Irwin McGraw-Hill, 1998. This is a thorough introduction to the conventional practice of systems analysis and design. If you are going to work with people who have the conventional training then it will be useful reference book. But as I say, I regard this material as out-of-date.Here are summaries of the group projects from week to week: Assignment for week 2: Team-Building Exercise.Everyone writes down their skill set and gets copies of everyone else's. Class members then form themselves into teams. Each team's members discuss their past and future, and how they complement one another. They draw a diagram that gives clear form to the conclusions they have reached, and they design a presentation around it.Assignment for week 3: Seeing information happen. Each team gets a distinct assignment, all of which involve going out in the world and watching information happen. Bring back what you've observed and show us. If you use what you've learned in other classes about information seeking then that's great. But we really want you to be observant and name things, and learn how to show what you've seen in a way that changes how other people see the world.Assignment for week 4: Growth of the technology.Each team again gets a distinct assignment, this time involving library work on the state of information technology ten years from now. Because of Moore's Law and related phenomena, we can predict reasonably well the quantitative properties of computing. Processors, for example, will be 100 times faster. What about mass storage, memory chips, wireline and wireless bandwidths, penetration rates of the technologies both domestically and globally, and so on? What important standards will be widely deployed by then? Show us what you've found.Assignment for week 5: Layering.Building on last week, we will do an exercise about the concept of a platform: a service upon which a diversity of other services can be built. The hard part is figuring out what belongs in the generic service, and what the interface should look like between the platform and the services that are built on it. This is going to be a central concept for design in the future. By this time we will have discussed several examples of platforms.Assignment for week 6: Show us your collaboration patterns.All the while you've been documenting your team's work process. This might mean keeping notes,taking pictures, drawing diagrams, videotaping, saving your work, etc. You have probably also settled into something of a routine. Show us how you work together. Along the way we will offer several ideas about what to look for. For example, where is the borderline between "routine" and "improvised"? This will be important in the coming weeks as we mess with the traditional concepts of systems analysis. This is the first week of a six-week iterative design exercise.Assignment for week 7: Ontology of collaborative work. Data modeling is the only idea from traditional systems analysis that is intellectually hard, so we will spend some extra time in class working an example of it. Then your assignment will be to model the data that will be required to implement one or more of your prospective services. Whereas earlier assignments have called on you to invent your own representation schemes, for this assignment we'll have you use a conventional notation scheme for data models. Having done so, sketch an information service that you might like to design to support collaborative work activities.Assignment for week 8: Service design. Now it is time to spell out the details of a potential information service for collaborative work. To prepare for this, think about your service from several angles. What institutional roles are people playing as they use the service? Where are they located? What actions do they need to take? Who gets access to what information? Who creates the data that goes in the databases? Which parts of the data should be structured, and what should the structure be? What existing services does your service exchange data with? And so on. Having explored all of these questions, draw a dataflow diagram for the service you are designing, decomposing the design into enough component processes and databases to get a clear idea of its properties.Assignment for week 9: Information ing cardboard, crayons, glue, and other materials found in kindergarten classrooms, build a mockup of one or more of your services. Show what your service will look like in practice, and tell us how it is comprehensible. We will have discussed some examples of information design, including several that have nothing to do with computers. We wantcomputers to be more like the diagrams in Edward Tufte's books. We also want them to be more like the information appliances that Norman argues for.Assignment for week 10: Service architecture. Having sketched first the insides and then the outsides of your service, it will be time to return to the inside, applying serious architectural concepts this time. How are the processes and databases that comprise your service divided among the various networked devices that they run on? You will have been reading Messerschmidt throughout the quarter, and this is where you will apply everything in that book.Assignment for finals week.We don't imagine that anyone will be around during finals week to see your work, and so instead we will have each group videotape a final presentation that we can put on the Web. This will include your service mockup, its information design and internal architecture, how it works cognitively, how the information flows, and generally how it works as a service in the full sense.MIS Application Server: Easy back-end adminstrationAccurate information is the first step to better planning, reporting and analysis. In many companies, however, this information is stored in several formats across multiple locations. MIS Application Server brings this information together in a single analytic platform.Test thousands of scenariosHow much revenue will our new product generate? Should we split our sales cost center into direct and indirect sales? What if I only invested, 10% of my marketing budget into advertising?Managers test these and thousands of other scenarios during each and every budget planning. Let MIS Application Server support you throughout the process. Its unique “splashing” technology automatically allocates your budget into different projects –down to any desired level of detail. Once you are satisfied with your results, just write back your finalized budget into the database, where you can later access it for comparing budget-actual variances.When changes arise in your budget structure, you can update these quickly from a familiar Excel environment. This unparalleled planning flexibility is powered by the multidimensional real-time OLAP database, MIS Alea.信息系统分析和设计这种重建“系统分析和设计”的古典计算机科学题目 -- 绘图资料流动和数据模型 -- 从工业设计图得到的一种框架。

2023年系统分析师考试模拟试题及参考答案

2023年系统分析师考试模拟试题及参考答案

2023年系统分析师考试模拟试题及参考答案模拟试题(一)1.使用多处理机系统的主要目的是实现()代码的并行性。

A、操作级和指令级B、指令级和作业级C、作业级和任务级D、任务级和指令级答案:D解析:在多处理机系统中,提高程序并行性的关键,是把任务分解成足够多的可同时操作的进程,即实现任务级和指令级的并行。

2.按照Cache地址映像的块冲突概率,从高到低排列的是()。

A、全相联映像→直接映像→组相联映像B、直接映像→组相联映像→全相联映像C、组相联映像→全相联映像→直接映像D、直接映像→全相联映像→组相联映像答案:B解析:直接映像是指在进行映像的工作时,规定各区中的某一信息块只能映像到Cache中的一个固定的信息块中。

全相联映像是指主存中的每一个字块可映像到Cache任何一个字块位置上。

组相联映像方式是直接映像和全相联映像的一种折衷方案,这种方法将存储空间分为若干组,各组之间是直接映像,而组内各块之间则是全相联映像。

进行地址映像时,直接映像方式下冲突概率最高,全相联映像方式下冲突概率最低。

3.面向对象分析中,构建用例模型一般分为四个阶段,其中,除了()阶段之外,其它阶段是必需的。

A、识别参与者B、合并需求获得用例C、细化用例描述D、调整用例模型答案:D解析:在OOA方法中,构建用例模型一般需要经历四个阶段,分别是识别参与者、合并需求获得用例、细化用例描述和调整用例模型,其中前三个阶段是必需的。

4.某文件管理系统在磁盘上建立了位示图(bitmap),记录磁盘的使用情况。

若磁盘上物理块的编号依次为:0、1、2、…;系统中的字长为32位,字的编号依次为:0、1、2、…,字中的一位对应文件存储器上的一个物理块,取值0和1分别表示空闲和占用,如下图所示。

假设操作系统将2053号物理块分配给某文件,那么该物理块的使用情况在位示图中编号为(请作答此空)的字中描述;系统应该将()。

A、该字的位号5的位置"0"B、该字的位号5的位置"1"C、该字的位号6的位置"0"D、该字的位号6的位置"1"答案:B解析:2053号物理块对应字的编号是64号,前面的0-2047位已经占满,因此第64号字的第0位是2048,第1位是2049,第2位是2050,第3位2051,第4位2 052,第4位2053。

文献翻译-基于虚拟样机技术的系泊系统的应用分析

文献翻译-基于虚拟样机技术的系泊系统的应用分析

基于虚拟样机技术的系泊系统的应用分析Xu Cijun Xiao XinhuaSchool of Mechanical and Electronic EngineeringHuangshi Institute of TechnologyHuangshi, ChinaE-mail:xucijun818@摘要模拟方法的动态响应分析系泊系统基于虚拟样机技术的根据其特点的多了耦合、非线性。

锚链作为得到的系泊系统的初始条件链通过静态分析。

根据动态分析系泊系统,运用墨里森方程的简化系泊系统的数学分析模型,并解决它采用摄动法。

系泊系统适合非线性系统根据不同条件下的实验数据,和简化为非线性弹簧约束构建在亚当斯的海洋平台的虚拟样机模型软件。

基于虚拟动态分析其可行性虚拟样机技术是由应用程序演示的例子表明抓斗挖泥船仿真分析。

的仿真结果表明,系泊的简化模型系统提供了可靠的虚拟分析平台海上平台的仿真,并降低其分析在动态性能的理论研究的复杂性。

关键词:虚拟样机;系泊系统;动态分析;非线性弹簧;抓斗式挖泥船1.简介系泊系统是其中的重要组成部分海洋平台,它提供了一个水平的、有弹性的恢复力定位水下物体下外部环境的影响。

动态系泊系统的性能是其设计的关键因素。

由于波浪和风的影响,这是一个非常的动态响应的复杂力学问题系泊系统的分析和动态的解决方案系泊线张力,属于非线性分析从系泊系统运动的角度数学模型。

因此,系泊分析系统的非线性是研究的一个重要辊机制的容器。

它的力学分析,包括静态和动态分析,静态分析是基础动力分析因为前者提供后者的解决的某些初始条件。

黄朝志等。

研究了静态计算半两种系泊系统的比较—潜水平台,和计算公式恢复钢丝绳链的结合力丛重了。

研究了静态悬链丝链锚泊线的性能。

基于目前没有任何假设条件和变形的线被忽视。

在时间域和频率域分析方法解决问题的动态分析。

在时间域进行响应分析解决系泊平台的动态行为采迭代增量集成系统已经建立了一个三分析整个动态有限元模型,系泊系统的时域。

外文文献翻译方法与技巧

外文文献翻译方法与技巧

外文文献翻译方法与技巧
翻译外文文献可以为学术研究提供重要的支持,以下是一些翻译方法和技巧:
精读原文
在翻译外文文献之前,先要精读原文并理解文本内容和结构,这可以帮助翻译者确定文本的主题和重点。

同时,熟悉文本的语言风格和词汇也非常重要,可以帮助翻译者更好地理解并翻译文本。

注重语言风格
不同的外文文献可能有着不同的语言风格和表达方式,翻译者应该注重语言风格的翻译,尽可能地保持原文的表达方式和文化背景,同时也要注意译文的可读性。

注意文化差异
在翻译外文文献时,注意文化差异也是非常重要的。

不同的国家和地区有着不同的文化背景和惯,翻译者应该根据文本的背景和主题灵活运用词汇、表达方式和文化隐喻等,让译文更符合文化差异和读者的惯。

使用辅助工具
在翻译外文文献时,辅助工具可以帮助翻译者提高翻译效率和准确率。

例如,使用翻译软件可以帮助翻译者快速翻译大量文本,但需要注意软件翻译的准确性和语言风格是否符合需求。

查看参考文献
在翻译外文文献时,参考文献可以为翻译者提供重要的帮助。

翻译者可以查看相关的研究文献和资料,了解行业和学术领域的相关术语和表达方式,提高翻译的准确性和专业性。

总之,翻译外文文献需要翻译者具有良好的语言能力和专业知识,同时秉承着精读原文、注重语言风格、注意文化差异、使用辅
助工具和查看参考文献的翻译方法和技巧,才能提高翻译质量和效率。

文献翻译技巧

文献翻译技巧

先确保你真的把原文读懂了,不仅仅是字面上的,而是完全理解它在说什么,表达怎样的观点。

然后结合国内相关领域的表达方式来组织语言。

注意不要依主观取向随意添加原文没有明确传达的内容或删改,更不要遇到似懂非懂的句子不经严谨查证就随意混过去。

也不建议大幅跳脱原文行文,除非你有绝对的自信不会造成错译、漏译、过译、曲译的问题。

谨记,你的职责是「为原作者忠实传话」而不是「消化吸收后再论述」。

措辞方面,鉴于英文学术文献往往采用复杂的句式结构,注意避免翻译腔。

除了特定术语表达外,建议选词以精准为前提,兼顾平实易懂,尽可能简洁。

初译完成后,抛开原文,以初读者的心态重新通读译文全文,看看是否能读懂自己译文的每一句话都在讲什么,论述是否符合基本的相关常识,与原文传达主旨是否一致,句子、段落之间的逻辑关系是否成立、统一,等等。

这个步骤也可请对该领域有了解的朋友代劳。

如果你发现自己能读懂,翻译起来却难以下笔,那么问题很可能出在你的中文表达能力不足。

这种情况下,建议是多阅读一些相关领域内的原创中文文本(而非翻译过来的文本),从中把握语感,然后再应用到自己的翻译文本中。

需要的主要能力在于,1充分利用搜索引擎;2强大的学习能力。

可用的技巧包括,拆分句子结构;将翻译结果,返回搜索引擎进行验证;学习行业知识。

另外,自己在翻译的过程中,不能把翻译当成目的,而是要把学习当成目的。

在大学里,有很多老师曾是外交部、国内外高官的翻译,从他们身上得到最重要的经验之一就是:对于任何不懂的行业,优秀的翻译都能靠自学,将自己变成一个初通行业门道的人甚至专家。

1.拆分句子结构,拆成术语+非术语:因为翻译中,第一个技术难点在于术语,第二个技术难点才是行业知识。

因为有时候整句话的术语翻译完后,虽然整个句子的意思你还是看不懂,但是从翻译角度来讲,已经翻译无误了,这个技巧很类似于机器翻译。

我们仅仅翻译知道的部分,先留下术语不翻译。

只需要填进去术语,然后你就翻对了。

文献分析法——精选推荐

文献分析法——精选推荐

文献分析法文献分析法主要指搜集、鉴别、整理文献,并通过对文献的研究,形成对事实科学认识的方法。

文献分析法是一项经济且有效的信息收集方法,它通过对与工作相关的现有文献进行系统性的分析来获取工作信息。

一般用于收集工作的原始信息,编制任务清单初稿。

总体介绍文献分析是要弄清被分析文献“究竟讲什么”,以便给予检索标识。

一般分两步:(1)先找出文献论述的对象,再进一步查明是论述该对象哪个方面的具体问题;(2)先找出文献中涉及的各种概念,再进一步查明它们之间的关系,从而形成若干完整的主题。

从一篇文献分析出的主题数量可以是多个。

由于文献分析法和内容分析法有共同的对象,都不与文献中记载的人与事直接接触,因此,都称为非接触性研究方法。

内容分析法则通过对文献的定量分析,统计描述来实现对事实的科学认识。

二者的区别是分析的重点与分析的手段上有所不同。

2操作流程主要包括以下两个阶段::确定来源通过浏览文献的篇名、目次、摘要、引言、结论以至正文,对文献内容作调查;信息来源包括内部信息和外部信息。

(1)内部信息包括《员工手册》、《公司管理制度》、《职位职责说明》、《绩效评价》、《会议记录》、《作业流程说明》、《ISO质量文件》、《分权手册》、《工作环境描述》、《员工生产记录》、《工作计划》、《设备材料使用与管理制度》、《作业指导书》等。

(2)外部信息主要指其他企业工作分析的结果,这些资料可以为本企业的工作分析提供参照。

为了保证所收集到的信息有较强的适用性,在收集信息的时候应该注意两点:第一,目标企业应该与本企业在性质上或者行业上具有较高的相似性;第二,目标职位应该与本企业典型职位有较高的相似性。

分析信息对调查所得的情况作分析判断,形成主题概念。

由五个步骤组成:(1)确定选题。

进行文献分析时需要快速浏览文献,从大量的文档中寻找有效信息点。

(2)收集文献。

针对文献中信息不完整和缺乏连贯性的情况,应一一做好标记,在编制工作分析提纲时,作为重点问题加以明示;(3)整理文献。

翻译工作中的文献翻译技巧

翻译工作中的文献翻译技巧
详细描述
文学作品的翻译不仅仅是文字的转换,更是文化和情感的传递。译者需要具备较高的语言功底和文化 素养,注重保留原作的语言美感、文化内涵和人物性格,力求再现原著的艺术价值。
科技文献的翻译
总结词
准确传达信息、术语统一、语言简练
详细描述
科技文献的翻译要求准确传达原文的信息,确保术语翻译的准确性和统一性。译者在翻 译过程中应注重语言的简练,避免过多的修饰和冗余,使译文更加专业和易于理解。
跨文化意识在文献翻译中的运用
深入了解源语言和目标语言的文化背景
01
通过对源语言和目标语言文化背景的深入了解,能够
更好地理解和表达原文的含义。
注重文化意象的传递
02 在文献翻译中,应注重文化意象的传递,尽可能保留
原文的文化特色和内涵。
尊重目标语言的社会价值观
03
在文献翻译中,应尊重目标语言的社会价值观,避免
校对与修改的技巧
核对原文
校对译文时,再次核对原文,确保译文准 确无误。
语法检查
检查译文的语法结构是否正确,避免出现 语病和错别字。
语义连贯
确保译文在整体上语义连贯,避免出现前 后矛盾或信息遗漏。
润色表达
对译文进行润色,提高译文的表达效果和 可读性。
03
文献翻译的实践
文学作品的翻译
总结词
注重语言美感、文化内涵和人物性格
0 上下文关联 4结合上下文语境,理解词汇和
句子的具体含义,避免孤立地 翻译。
表达原文的技巧
选词准确
选择与原文意义相符的词汇,避免歧义和 误解。
句式灵活
根据目标语言的表达习惯,灵活运用句式 ,使译文流畅自然。
语序调整
根据目标语言的表达习惯,适当调整原文 的语序,使译文更加符合阅读习惯。

医学英语文献翻译方法

医学英语文献翻译方法

医学英语文献翻译方法医学英语文献在医学研究和实践中具有重要的价值,然而,由于其专业性和语言特点,翻译起来具有一定的难度。

掌握有效的翻译方法对于准确传达文献中的信息至关重要。

以下将详细介绍一些医学英语文献翻译的方法。

一、准备工作在开始翻译医学英语文献之前,充分的准备工作是必不可少的。

首先,需要对医学领域的基本概念、专业术语和常见的表达方式有一定的了解。

可以通过阅读医学教材、专业词典和相关的科普文章来积累基础知识。

其次,熟悉医学英语文献的常见结构和写作风格。

医学文献通常具有严谨的逻辑和特定的篇章布局,例如引言部分会阐述研究背景和目的,方法部分会详细描述实验或研究的过程,结果部分会呈现数据和发现,讨论部分会对结果进行分析和解释。

此外,准备好权威的医学英语词典和翻译工具也是很重要的。

例如,《牛津医学词典》、《医学英语词汇速记》等词典,以及在线的医学翻译数据库和软件。

二、词汇翻译1、专业术语医学英语中有大量的专业术语,这些术语往往具有特定的含义和固定的翻译。

例如,“cardiovascular”应翻译为“心血管的”,“neurology”应翻译为“神经学”。

对于常见的专业术语,要准确记忆其对应的中文释义。

可以通过制作词汇表、背诵和反复练习来加深记忆。

2、一词多义有些医学词汇可能有多种含义,需要根据上下文来确定其准确的翻译。

比如“cell”,在医学中既可以指“细胞”,也可能指“电池”,在翻译时要结合具体语境进行判断。

3、合成词和派生词医学英语中存在大量的合成词和派生词。

例如,“neuropsychiatry”(神经精神病学)是由“neuro”(神经)和“psychiatry”(精神病学)合成的;“hypertension”(高血压)是由“hyper”(高)和“tension”(压力)构成的。

了解常见的词缀和词根的含义,有助于推测和翻译这些词汇。

三、句子翻译1、长难句医学文献中经常出现长难句,翻译时需要先分析句子结构。

文献分析法

文献分析法

三一文库()〔文献分析法〕*篇一:文献分析法文献分析法文献分析法主要指搜集、鉴别、整理文献,并通过对文献的研究,形成对事实科学认识的方法。

文献分析法是一项经济且有效的信息收集方法,它通过对与工作相关的现有文献进行系统性的分析来获取工作信息。

一般用于收集工作的原始信息,编制任务清单初稿。

总体介绍文献分析是要弄清被分析文献“究竟讲什么”,以便给予检索标识。

一般分两步:(1)先找出文献论述的对象,再进一步查明是论述该对象哪个方面的具体问题;(2)先找出文献中涉及的各种概念,再进一步查明它们之间的关系,从而形成若干完整的主题。

从一篇文献分析出的主题数量可以是多个。

由于文献分析法和内容分析法有共同的对象,都不与文献中记载的人与事直接接触,因此,都称为非接触性研究方法。

内容分析法则通过对文献的定量分析,统计描述来实现对事实的科学认识。

二者的区别是分析的重点与分析的手段上有所不同。

操作流程主要包括以下两个阶段::确定来源通过浏览文献的篇名、目次、摘要、引言、结论以至正文,对文献内容作调查;信息来源包括内部信息和外部信息。

(1)内部信息包括《员工手册》、《公司管理制度》、《职位职责说明》、《绩效评价》、《会议记录》、《作业流程说明》、《ISO质量文件》、《分权手册》、《工作环境描述》、《员工生产记录》、《工作计划》、《设备材料使用与管理制度》、《作业指导书》等。

(2)外部信息主要指其他企业工作分析的结果,这些资料可以为本企业的工作分析提供参照。

为了保证所收集到的信息有较强的适用性,在收集信息的时候应该注意两点:第一,目标企业应该与本企业在性质上或者行业上具有较高的相似性;第二,目标职位应该与本企业典型职位有较高的相似性。

分析信息对调查所得的情况作分析判断,形成主题概念。

由五个步骤组成:(1)确定选题。

进行文献分析时需要快速浏览文献,从大量的文档中寻找有效信息点。

(2)收集文献。

针对文献中信息不完整和缺乏连贯性的情况,应一一做好标记,在编制工作分析提纲时,作为重点问题加以明示;(3)整理文献。

文献分析法

文献分析法

• 社会网络是影响农民工收入的重要因素。有无再 建构社会网的农民工,其在城市的收益有明显差 异 • 农民工使用信息技术来维系初级关系、发展衍生 关系
文献分析法
文献综述:农民工城市融入与手机使用 • 大量的手机以及短信使用使农民工可以· · · · · · • 手机对农民工意味着· · · · · · • 农民工通过移动通信技术所生成的“新的关系” 是建立在高度同质化的、强关系的基础上· · · · · · • 以上海钟点女工为案例的研究发现· · · · • 总结、评论
CNNIC、艾瑞、易观国际、尼尔森媒介研究、 CSM、CTR
二手资料的分析
• 如何评价二手资料的质量 (1)谁收集的? (2)收集的目的? (3)怎样收集的? (4)什么内容? (5)什么时候收集的? (6)一致性如何? • 评价二手资料质量的准则
二手资料的分析
• 二手资料分析的步骤 • 研究问题——收集资料 • 发现资料——构想研究问题 (1)选择研究的主题(主题去适应资料) (2)寻找适合的资料 (3)整理、加工资料 (4)分析资料
文献分析法
• 转引时的原则:
① 能够回到原典本身,就阅读原典,除非语言 不通或找不到原典
② 将概念提出的贡献归给原作者。即使你没有 阅读原典,但在正文中可以说明是谁首先提 出这个观点 ③ 要让读者知道你究竟阅读的是哪一篇文章, 读者自然也就有足够的资料能够回溯到最前 面原始的文献
文献分析法
• 做文献综述时应注意: 1、文献综述不应是对已有文献的重复、罗列和一般性介绍, 而应是对以往研究的优点、不足和贡献的批判性分析与评论 。因此,文献综述应包括综合提炼和分析评论双重含义。 2、文献综述不是资料库,要紧紧围绕课题研究的“问题”, 确保所述的已有研究成果与本课题研究直接相关,其内容是 围绕课题紧密组织在一起。 3、文献综述要文字简洁,尽量避免大量引用原文,要用自己 的语言把作者的观点说清楚。 4、文献综述的综述要全面、准确、客观,用于评论的观点、 论据最好来自一级文献,尽量避免使用别人对原始文献的解 释或综述。

文献分析方法(1)

文献分析方法(1)

文献研究方法(收集、整理、分析)一、文献分析的目的与作用(一)文献分析的意义文献分析是获取有关现实和学术研究的真实情况的重要途径。

分析某个问题的研究现状,人们也可以运用文献分析法,对主要学术期刊发表的论文进行各种要素的统计和分析,从中获取有关研究者和选题的发展变化情况。

此外,通过分析文献中某特定术语的使用情况,也可以得到一些重要信息,诸如人们对某问题的关注情况和研究进展等。

全面的文献资料调研是研究的基础。

一般来说,文献资料调研的数量越多越好,但更重要的是精读10-20篇对自己研究工作具有宝贵参考价值文献,同时泛读几十篇次要文献,并有选择地阅读一般文献的摘要和结论部分。

只有在大量文献调研的基础上,才能去伪存真、去粗取精、提纲挈领和推陈出新地开展自己有特色的研究。

(二)文献分析的目的文献综述要针对某个研究主题,就目前学术界的成果加以研究。

文献综述旨在整合此研究主题的特定领域中已被思考过和研究过的信息,并将此议题上的权威学者所做的努力进行系统的展现、归纳和评述。

在决定研究目的之前,通常必须关注的问题是:研究所属的领域或其他领域对此问题已知多少;已完成的研究有哪些;以往的建议与对策是否成功,有无建议新的研究方向和议题。

许多研究者并不考虑这些问题,就直接进行文献探讨,将在短时间内找到的现有文献做简略引述或归纳,也不做批判,甚至与论文研究的可行性、必要性也无关。

张丽华等(2004)认为,文献综述至少可达到的基本目的有①:●让读者熟悉现有研究主题领域有关研究的进展与困境;●提供后续研究者的思考;●未来研究是否可以找到更有意义、更显著的结果;●对各种理论的立场说明,可以提出不同的概念框架;●作为新假设提出研究理念的基础,对某现象和行为进行可能的解释,识别概念间的前提假设;●改进与批判现有研究的不足,推出另类研究,发掘新的研究方法和途径,验证其他相关研究。

具体来讲,文献分析的目的在于:彰显对某一知识体系的熟悉程度,使他人能够对研究者的专业能力与知识背景做出判断,以取得他人的信任,说服读者。

  1. 1、下载文档前请自行甄别文档内容的完整性,平台不提供额外的编辑、内容补充、找答案等附加服务。
  2. 2、"仅部分预览"的文档,不可在线预览部分如存在完整性等问题,可反馈申请退款(可完整预览的文档不适用该条件!)。
  3. 3、如文档侵犯您的权益,请联系客服反馈,我们会尽快为您处理(人工客服工作时间:9:00-18:30)。

外文资料翻译The Methodology of Systems AnalysisFor a system analysis to be undertaken,someone must think there is a problem-or at least recognize the possibility that a problem exists.That is,he must be dissatisfied with the current or anticipated state of affairs and want help in discovering how to bring about a change for the better.Systems analysis can almost always provide help,even if it does no more than turn up relevant information or indicate that certain actions offer little hope of bringing about improvement.In most circumstances,the analysis may even discover a course of action that will bring about the desired change,a course that can be recognized as the advantageous and implemented by those with authority to act.Systems analysis can also be used to present factual arguments and reliable information to help win acceptance for a proposed couse of action.In addition,it can help to prevent the chosen course from being rendered ineffective by adverse interests,misinterpretations,or unanticipated problems.Although a system analysis may be carried out without a specific user or set of users in mind,such work is not likely to have much influence other than to inform public debate.Decisionmaker is assumed to be an individual who wants to make decisions as rationally as possible by taking into consideration the probable consequences of each available course of action-selecting the "best"action by balancing its cost against the extent to which it helps to achieve his objectives and possible other benefits.The analyst's basic procedure is to determine what the decisionmaker wants,search out his feasible alternatives,work out the consequences that would follow the decision to adopt each of the alternatives,and then,either rank the alternatives in terms of their consequences according to criteria specified by the decisionmaker,or present the alternatives with their consequences to the decisionmaker for ranking and choice.In reality,the decisionmaking situation is rarely so uncomplicated.Theperson for whom a study is done is ususlly but one of many participants in a decisionmaking process,and he must use the results of the analysis as evidence and argument to bring the others to his point of view before acting.In some cases the decisions cannot be separated from the managerial,organizational,and political situation in which they are made,and the model we are assuming for the decisionmaker(called the rational actor model,or model I by Allison)must be supplemented or modified by bringing in organizational and political considerations.Nevertheless,as Allison remarks,"For solving problems.a model I-style analysis provides the best first cut. Indeed,for analyzing alternatives and distinguishing the preferred proposal,there is no clear alternative to this basic framework."This is the basic,unsophisticated view of the decisionmaking situation.As an example to illustrate the basic procedure,assuming that a legislative committee wants to propose legislation to increase highway safety,it is willing to consider three alternatives:a requirement for devices to make the use of seat belts automatic,lowering the maximum speed limit and enforcing it more strictly,and establishing higher standards for issuing driver's licenses.They ask the legislative analyst to carry out a systems analysis.It is useful to consider aproblem of thes type in terms of these elements: Objectives——what the decisionmaker desires to achieve.In the example,the objective is the problem,the alternatives may be policies,strategies,designs,actions,or whatever it appears might attain the objective.In the example,although the alternatives are limited to three types, within each type there are many possibilities to consider.Consequences——the results that would ensure were the alternatives to be adopted and put into effect.In the highway safety example,if the alternative of a lower maximum speed limit with stricter enforcement were implemented,a positive consequence(abenefit)would be a lower rate of fatal highway accidents;a negative consequence(a cost)would be the need for more police officers to be hired or taken from other tasks.Criteria——rules or standards that specify in terms of consequences(orsome subset of them)how the alternatives are to be ranked in order of desirability.For example,a possible criterion might be to rank the alternatives in decreasing order of the ratio of the reduction in the annual number of fatalities from implementing the alternative to the expenditure of public funds required.Model——an abstraction,a set of assumptions about some aspect of the world,either real or imaginary,intended to clarify our view of an object,process,or problem by retaining only characteristics essential to the purpose we have in mind.It is a simplified conceptual or physical image that may be used to investigate the behavior of a system or the result of an action without altering the system or taking the action.A model is made up of factors relevant to the problem and the relations among them essential to the purpose in mind.A model may take many forms.some common types are a set of tables,a series of mathematical equations,a computer program,or merely a mental image of the situation held by someone contemplating an action.In most systems analyses explicit models are normally used for predicting both the context and environment in which the alternatives are to be implemented and their associated consequences.This is necesary because the factors are usually so numerous and their interrelations so complex that intuition and mental models are not adequate to handle the large number of factors and their intricate relations.Predicting consequences is not the only,or even the first,use of models in a system analysis.It is however,the most prominent use,for such models are likely to be elaborate and programmed for a computer,whereas many other models may be no more than well-thought through concept.In our example many different models are needed to estimate the results for the alternatives,and their consequences are of different types.In our example an early problem for the analysis is to fend a way to turn the vague goal of increased highway safety into something of a more operational character——in other words,to settle on a way to measure it .Onemeasure might be the reduction in annual number of fatalities;another might be the reduction in the annual(monetary)cost of highway accidents to the victims.Another task for the analyst is to check the alternatives for feasibility.It might turn out the alternative of automated seat belts is not feasible owing to public unacceptability.If this alternative were far superior to all the others i n increasing safety,the decisionmaker would probably want to investigate the cost and effectiveness of a campaign to change public opinion.The analyst will also want to search for and examine alternatives not on the original list——such things as better emergency ambulance service,eliminating unguarded railroad crossings,and changed car design——for these alternatives may promise increased highway safety at less cost than those on the original list,and,when presented with supporting calculations,may lead the decisionmakers to expand the list of possibilities they are welling to consider.Indeed,the discovery,invention,or design of new and better alternatives is often the real payoff from systems analysis.In predicting the results associated with the various alternatives,the analyst may have to use radically differing models or methods.A model to show the effect of improved driving skills on the number of fatalities can differ considerably from a model to predict the way a lower speed limit affects fatalities.On the other hand ,predictions for both cases may be obtained statistically from experiences in other jurisdictions with similar driving conditions.In comparing alternatives various future contexts may also have to be considered,with predictions or conjectures made about the effects of,for instance,a petroleum shortage on automobile traffic and other exogenous factors beyond the decisionmakers' control.One run-through of the set of procedures is seldom enough.Several cycles or iterations are almost always necessary to refine the first models and assumptions,and thus increase one's confidence in the outcomes.系统分析的方法进行系统分析时,人们一定认为存在某个问题,或至少应该认识到存在某个问题的可能性。

相关文档
最新文档