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Experimental frame structuring for automated model construction: Application to simulated weather generation.

机译:用于自动模型构建的实验框架结构:在模拟天气生成中的应用。

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摘要

The source system is the real or virtual environment that we are interested in modeling. It is viewed as a source of observable data, in the form of time-indexed trajectories of variables. The data that has been gathered from observing or experimenting with a system is called the system behavior data base.; In this paper, automatic experimental system structuring, primarily generator model is developed by the serial and parallel composition for the given source data. The time indexed trajectories of variables provide an important clue to compose the DEVS (discrete event specification) model. Once an event set is derived from the time indexed trajectories of a variable, the DEVS model formalism can be extracted from the given event set. The process must not be a simple model generation but a meaningful model structuring of a request. The search engine searches the requested data in the data repository, and then model creation engine is launched to create the DEVS model. The source data is also designed with SES so that only user defined information is deposited. The source data and query designed with SES is converted to XML Meta data by XML converting process. The entity structure serves as a compact representation for organizing all possible hierarchical composition of system so that it performs an important role to design the structural representation of query and source data to be saved. For the real data application, the model structuring with the US Climate Normals is introduced. This data includes daily 1971-2000 normal maximum, minimum, and mean temperature, heating and cooling degree days, and precipitation for selected cooperative. The basic query for US Climate Normals consists of time, spaces, and variables. The complex systems are being developed at different levels of resolution. When the huge size of source data in US Climate Normals are implemented for the DEVS model, the model complexity is unavoidable. This issue is dealt with the creation of the equivalent lumped model based on the concept of morphism. As the one of the approaches for the model abstraction, aggregation is implemented in this paper. The US region is divided by United States Census Bureau to define the resolution level. Three primary components are coupled to provide more flexible system for user query so that the system can output not only DEVS model but also the resolution level itself or spread value. The system was designed to take a query from the user and give an output to the user. Therefore, the application to Web Service Oriented Architecture is a valuable approach. The recently researched DEVSML (DEVS Modeling Language) gives one solution of the way to return the DEVS model with XML language.
机译:源系统是我们对建模感兴趣的真实或虚拟环境。它以时间索引的变量轨迹的形式被视为可观察数据的来源。从观察或试验系统中收集的数据称为系统行为数据库。本文通过对给定的源数据进行串行和并行组合,开发了自动实验系统结构,主要是生成器模型。时间索引的变量轨迹为构成DEVS(离散事件规范)模型提供了重要线索。一旦从变量的时间索引轨迹中得出事件集,便可以从给定事件集中提取出DEVS模型形式。该过程必须不是简单的模型生成,而是有意义的请求结构。搜索引擎在数据存储库中搜索请求的数据,然后启动模型创建引擎以创建DEVS模型。还使用SES设计源数据,以便仅存储用户定义的信息。使用SES设计的源数据和查询通过XML转换过程转换为XML元数据。实体结构充当组织系统所有可能的层次结构的紧凑表示形式,因此它在设计要保存的查询和源数据的结构表示形式方面起着重要作用。对于实际数据应用,介绍了使用“美国气候法线”构建的模型。此数据包括选定合作社的1971-2000年每日正常最大,最小和平均温度,加热和冷却度天数以及降水量。美国气候正态的基本查询由时间,空间和变量组成。正在以不同的分辨率级别开发复杂的系统。当为DEVS模型实现美国气候法线中巨大的源数据时,模型的复杂性不可避免。这个问题与基于同态性概念的等效集总模型的创建有关。作为模型抽象的方法之一,本文实现了聚合。美国地区由美国人口普查局划分,以定义分辨率级别。三个主要组件耦合在一起,为用户查询提供了更加灵活的系统,因此系统不仅可以输出DEVS模型,而且可以输出分辨率级别本身或扩展值。该系统旨在接收用户的查询并向用户提供输出。因此,将应用程序应用于面向Web服务的体系结构是一种有价值的方法。最近研究的DEVSML(DEVS建模语言)提供了一种使用XML语言返回DEVS模型的方法的解决方案。

著录项

  • 作者

    Cheon, Saehoon.;

  • 作者单位

    The University of Arizona.;

  • 授予单位 The University of Arizona.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 154 p.
  • 总页数 154
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

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