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首页> 外文学位 >Analysis of collaboration intelligence and semantic interoperability to provide design guidelines for interfacing design and engineering in automotive design process.
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Analysis of collaboration intelligence and semantic interoperability to provide design guidelines for interfacing design and engineering in automotive design process.

机译：分析协作智能和语义互操作性，以为汽车设计过程中的接口设计与工程提供设计指导。

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摘要

In information systems development, there have been consistent efforts to reduce human involvement which causes time, cost, and error in many cases. However, this is difficult and often impossible to do. With the increasing importance of collaboration, we proposed the concept of collaboration intelligence to measure the level of capacity required to achieve a given task, while collaborating with each other. We defined four kinds of intelligence to represent the cooperative impact of human and machine elements in your system. These four kinds of intelligence are human, machine, interface, and system. To that end, we developed a mathematical model and analyzed the characteristics of collaboration intelligence. We also performed a simulation analysis for various situations. In the above noted mathematical model and comparison, we addressed design guidelines for enterprise information systems.; After we studied collaboration intelligence both by mathematical and empirical methods we increased the descriptive power of our model by focusing on the quality of information. It can be addressed in semantic interoperability and Bayesian network. After we identified critical features, we provided an ontology model for interfacing car stylist and engineers. This model can be readily applicable to solve real world problems. Then we applied Bayesian network to our ontology model, taking advantage of conditional independence. We expanded our model by applying it to GPDS feasibility assessment items at Ford Motor Company. By applying the ontology model and other Bayesian network approaches, we can expect many benefits, including better communication between engineers and designers and the opportunity for earlier design freezes.
机译：在信息系统开发中，一直致力于减少人为参与，这在很多情况下会导致时间，成本和错误。然而，这是困难的，而且通常是不可能的。随着协作的重要性日益提高，我们提出了协作智能的概念，以衡量实现给定任务所需的能力水平，同时彼此协作。我们定义了四种智能来表示人与机器元素在您的系统中的协同影响。这四种智能是人，机器，界面和系统。为此，我们开发了一个数学模型并分析了协作智能的特征。我们还针对各种情况进行了仿真分析。在上面提到的数学模型和比较中，我们讨论了企业信息系统的设计准则。在我们通过数学和经验方法研究了协作智能之后，我们通过关注信息质量来提高了模型的描述能力。可以在语义互操作性和贝叶斯网络中解决。在确定了关键功能之后，我们为汽车设计师和工程师提供了一个本体模型。该模型可以很容易地应用于解决现实世界中的问题。然后，我们利用条件独立性将贝叶斯网络应用于本体模型。通过将其应用于福特汽车公司的GPDS可行性评估项目，我们扩展了模型。通过应用本体模型和其他贝叶斯网络方法，我们可以期待许多好处，包括工程师和设计师之间更好的沟通以及更早地冻结设计的机会。

著录项

  • 作者

    Im, Cheolsoon.;

  • 作者单位

    Wayne State University.;

  • 授予单位 Wayne State University.;
  • 学科 Engineering Automotive.; Engineering Industrial.
  • 学位 Ph.D.
  • 年度 2006
  • 页码 152 p.
  • 总页数 152
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自动化技术及设备;一般工业技术;
  • 关键词

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