基于Java RMI的数据库代理集成研究

该文从代理与非代理集成的基本模型出发,讨论了如何用JavaRMI技术去实现将一个非代理的数据库系统集成到一个代理系统中去,让代理软件可以访问非代理的数据库系统。

基于代理的Pro/E与外部程序界面互动集成技术研究

以外部进程PDM/CAPP中的产品信息界面直接为Pro/E模型参数界面导入数据为例,介绍了如何利用Pro/TOOLKIT在Pro/E内部进行常规二次开发以及深入利用代理方法同外部程序进行界面和数据的互动集成,从而将Pro/E二次开发概念拓展到与其它应用程序的联合开发和互动集成上。

基于服务代理集成商的全过程物业管理

在论述基于服务代理集成商物业管理概念的基础上,探讨基于服务代理集成商参与物业管理全过程的管理模式和运行策略。

一种基于消息总线的交通信息集成模型

针对交通业务系统的复杂性和交通信息的多样化,为实现彼此之间一致有效的信息集成,提出一种基于消息总线的交通信息集成模型。该模型采用一种频道机制来注册和管理集成的消息服务,并可以通过在频道中部署消息集成代理对集成的信息进行进一步的分类和融合,以实现异源信息的融合,根据该模型构建的城市交通综合管理和信息服务平台的数据共享模式有着更好的信息分析能力和事件处理效率。

基于聚类的代理模型构建策略

为提高代理模型效率,对数据进行聚类,根据模型构建的需求从聚类结果中选择少量数据训练模型参数,得到一种基于聚类的代理模型构建策略。以该策略构建的代理模型作为近似评价模型,设计一种基于聚类的代理模型辅助粒子群优化算法,提出一种以代理模型辅助迭代搜索作为加速策略的混合变量多目标进化算法。数值实验结果表明,基于聚类的代理模型构建策略具有时间复杂度低、模型构造效率高的优点,模型辅助的迭代搜索过程具有较好的全局探索和局部开发能力。

结合特征扰动与分配策略的集成辅助多目标优化算法

代理模型利用近似预测代替算法对多目标优化问题的真实评价,大幅减少了算法寻优所需的真实适应度评估次数。为提高代理模型在求解高维问题时的准确性并降低计算开销,提出一种基于特征扰动与分配策略的集成辅助多目标优化算法。将径向基函数网络代理模型与支持向量机回归代理模型作为集成过程中的基模型,降低算法在高维问题上的计算开销。结合特征扰动与基于记忆的影响因子分配策略构建集成代理模型,提高集成准确性。使用集成预测值与不确定信息加权辅助管理集成代理模型,平衡全局搜索与局部探索,增强算法在目标空间中的寻优能力。实验结果表明,该算法在ZDT1~ZDT3和ZDT6测试问题上所得解集的分布性与收敛性相比经典算法更好,并且当决策变量维数增加时,使用集成代理模型相比于Kriging代理模型约减少了90%的适应度评估次数,同时可获得更准确的预测结果。

基于协调决策中心的供应链应用系统集成平台研究

为了支持供应链集成化管理,提出了一个在电子商务环境下基于协调决策中心的供应链应用系统集成平台。它包括框架结构、核心功能集和供应链数据交换规范等。在该集成平台中,将供应链应用系统集成归纳为企业内部应用系统的集成和企业间应用系统的集成两类,采用基于公共对象请求代理体系结构封装技术的集成接口代理实现企业内应用系统集成,采用基于可扩展标记语言数据交换技术的数据泵实现企业间应用系统集成。利用该集成平台,将供应链管理的核心业务流程和企业管理应用系统等通过相应的标准组合起来,实现面向多企业的供应链集成化管理。

基于深度学习贝叶斯模型平均代理的油藏自动历史拟合研究

油藏自动历史拟合过程中,需要频繁调用数值模拟器进行正向计算,导致计算时间长、资源消耗大。基于深度学习的油藏数值模拟代理模型提供了一种快速计算油水井生产动态的替代方案。然而,单一神经网络产量预测代理模型在特征提取和学习能力方面存在局限性。基于空间特征构建的代理模型侧重于学习油藏渗流的空间特性,但忽视了时间维度;基于时空特征构建的模型虽然擅长捕捉时间序列特征,却在空间特征学习方面不足。为此,文章提出了一种基于深度学习的贝叶斯模型平均代理方法,利用贝叶斯模型平均方法对两种深度学习代理模型进行集成,结合二者优势,增强代理模型对油藏特征的多维度学习能力,从而提高预测精度。该方法进一步结合多重数据同化集合平滑器,应用于实际油藏历史拟合中。实验结果表明,基于深度学习贝叶斯模型平均代理的历史拟合方法能够在保证高效计算的同时,准确拟合油藏实际生产动态,为快速、精确的历史拟合提供了一种创新解决方案。

区域医疗网络案例研究——美国佛罗里达州健康信息网络素描

介绍了美国佛罗里达州卫生局(FDOH)建立区域医疗网络项目的概况和进展,着重探讨了项目架构和解决标准统一问题。佛州卫生局在考虑到各地方不同的医疗卫生状况后选用了"混合式"的架构,以企业级应用集成(Enterprise Appli- cation Integration,EAI)技术为基础实现区域医疗信息的共享。同时针对各地医院采用的信息系统差异很大、数据缺乏统一标准的情况,佛州卫生局引入"集成代理"的方案以很低的成本解决了统一标准问题。佛州卫生局建立RHIO(Regional Health Information Organization)的实践对于我国的RHIO建设具有很高的参考价值。

时敏打击指挥控制技术初探

分析了时敏目标打击链,介绍了压缩打击链的主要途径,描述了图像处理、战场数据管理、武器动态分配、智能代理集成等有关时敏打击指挥控制技术,为时敏打击指挥控制系统的研究提供参考。

Co-evolutionary cloud-based attribute ensemble multi-agent reduction algorithm

In order to improve the performance of the attribute reduction algorithm to deal with the noisy and uncertain large data, a novel co-evolutionary cloud-based attribute ensemble multi-agent reduction（CCAEMR） algorithm is proposed.First, a co-evolutionary cloud framework is designed under the M apReduce mechanism to divide the entire population into different co-evolutionary subpopulations with a self-adaptive scale. Meanwhile, these subpopulations will share their rewards to accelerate attribute reduction implementation.Secondly, a multi-agent ensemble strategy of co-evolutionary elitist optimization is constructed to ensure that subpopulations can exploit any correlation and interdependency between interacting attribute subsets with reinforcing noise tolerance.Hence, these agents are kept within the stable elitist region to achieve the optimal profit. The experimental results show that the proposed CCAEMR algorithm has better efficiency and feasibility to solve large-scale and uncertain dataset problems with complex noise.

Ontological similarity network reasoning framework

To properly compute the ontological similarity, an ontological similarity network-based reasoning framework is proposed. It structurally integrates extension-based approach, intension-based approach, the similarity network-based reasoning to exploit the implicit similarity, and the feedback from the context to validate the similarity measures. A new similarity measure is also presented to construct concept similarity network, which scales the similarity using the relative depth of the least common super-concept between any two concepts. Subsequently, the graph theory, instead of predefined knowledge rules, is applied to perform the similarity network-based reasoning such that the knowledge acquisition can be avoided. The framework has been applied to text categorization and visualization of high dimensional data. Theory analysis and the experimental results validate the proposed framework.

Integration of Agent System with Legacy Software

Agent technique is a new method that can analyze, design and realize a distributed open system. It has been used in almost every field. But if act for the real practical words in technique, it must integrate with legacy software, such as database system etc, and control them. This paper introduces the specification of agent software integration, ontology, instances database as implementing agent software integration with CORBA technique and takes XML, ACL as language communicating among agents.

基于CORBA与DDS技术改进DRS系统通信

为了解决目前国内现有航管雷达模拟机系统(DRS系统)数据通信时存在数据丢失、数据延迟、系统不稳定方面的问题,提出了一种基于公共对象请求代理结构(CORBA)技术与数据分发服务(DDS)技术的新通信模式。研究了现有DRS系统的通信模式及存在的问题,探讨了CORBA技术和DDS技术在DRS系统中的应用,并对DRS系统在新通信模式下的通信质量进行了分析总结。实验结果表明,该方法能很好解决目前DRS系统在通信上存在的以上问题。

Agent-Based Simulation for Interconnection-Scale Renewable Integration and Demand Response Studies

This paper collects and synthesizes the technical requirements, implementation, and validation methods for quasi-steady agent-based simulations of interconnectionscale models with particular attention to the integration of renewable generation and controllable loads. Approaches for modeling aggregated controllable loads are presented and placed in the same control and economic modeling framework as generation resources for interconnection planning studies. Model performance is examined with system parameters that are typical for an interconnection approximately the size of the Western Electricity Coordinating Council(WECC) and a control area about 1/100 the size of the system. These results are used to demonstrate and validate the methods presented.

Evolutionary Algorithm with Ensemble Classifier Surrogate Model for Expensive Multiobjective Optimization

For many real-world multiobjective optimization problems,the evaluations of the objective functions are computationally expensive.Such problems are usually called expensive multiobjective optimization problems(EMOPs).One type of feasible approaches for EMOPs is to introduce the computationally efficient surrogates for reducing the number of function evaluations.Inspired from ensemble learning,this paper proposes a multiobjective evolutionary algorithm with an ensemble classifier(MOEA-EC)for EMOPs.More specifically,multiple decision tree models are used as an ensemble classifier for the pre-selection,which is be more helpful for further reducing the function evaluations of the solutions than using single inaccurate model.The extensive experimental studies have been conducted to verify the efficiency of MOEA-EC by comparing it with several advanced multiobjective expensive optimization algorithms.The experimental results show that MOEA-EC outperforms the compared algorithms.

Study on Model for Assessment of Quality Management Performance of Coal Preparation Plant in CIMS

In this paper the method to calculate intangible quality cost is put forward for the first time based on the production and management characteristics of coal preparation plant. A model for assessment of quality management performance of coal preparation plant is established on the ground of quality cost. By using of CIMS integration environment the strategy to carry out the model and the application example are also offered. It provides a new and feasible way to assess performance quality management of coal preparation plant.

Research on Resources Integration of the Fourth Party Logistics based on Multiple Agent

The key of the effective operation for the fourth party logistics is to integrate logistics resources with supply chain management concept and technology. According to the essence of the fourth party logistics resources integration, understand the characteristics of complexi .ty, the virtual and dynamic and so on, the paper analyzed the three kinds of Agent attribute for fourth party logistics resources integration system using the Agent technology and the principle, and then puts forward the fourth party logistics resources integration model of based on multi Agent.