近程反导舰炮武器系统射击效率评估

近程舰炮武器系统担负着舰艇末端防空反导任务。提出了一种评估反导射击效率的方法,该方法选取了单目标毁伤概率、毁伤目标数学期望、服务概率作为射击效率指标。在确定舰炮武器系统有效射击区域的基础上,分析了反导可射击条件,研究了对单目标沿其航路射击的可射击时间、点射次数、受到各次点射的概率,利用经验公式得到单目标毁伤概率。然后,研究了多座舰炮对群目标射击时毁伤目标数学期望、服务概率两项评估指标的计算方法。实例计算分析表明该方法有效可行。     

HOW ARE PRODUCT-SERVICE COMBINED OFFERS PROVIDED IN GERMANY AND ITALY？ ANALYSIS WITH COMPANY SIZES AND COUNTRIES

A new business concept that offers products and services in a different way of traditional product-sales businesses is getting more attention especially in manufacturing industries. This paper investigates how this new business by means of integration of products and services is achieved in Germany and Italy. In addition, it analyzes the differences according to the company sizes. The results include that this type of business is in many cases motivated by their focus on customers and often consists of physical products and their maintenance. The Italian companies, as opposed to the German ones, often design their physical products specifically for this type of offers. From the analysis based on the size difference, small companies are found to achieve specific design for this type of offers while owning physical products. There do not seem to be any established methods or tools developed to support the development of such offers and within such methods/tools there would be room for more adaptation in form of physical product design.     

基于蚂蚁寻径原理的最优路径选择算法

蚂蚁算法在动态路径寻优方面具有特有的优势。文章首先阐述了蚂蚁寻径原理,在长春市驾驶员调查问卷的基础上,对驾驶员的偏好性进行了分析。在蚂蚁寻径原理的基础上,结合驾驶员的偏好性,提出了一种能够综合反映驾驶员偏好的最优路径选择算法。算法以调查问卷得出的驾驶员最为关心的三类因素——行程时间、行驶距离和道路等级为考虑因素,以驾驶员对路径的硬性要求为约束条件,通过对偏好性参数的标定,体现驾驶员在路径选择上的不同偏好。最后以算例进行验证,表明算法具有很好的可行性和适用性。     

基于MTO-MTS的钢厂合同计划方法

建立了基于MTO-MTS的钢厂合同计划的整数规划模型,模型同时考虑库存余材匹配和生产计划,以提前/拖期惩罚、交货时间窗内拖后惩罚、生产费用、库存匹配费用、合同违约惩罚总额最小为目标.根据模型特点,构造了对非可行解进行启发式修复的改进粒子群算法求解策略.仿真实验首先对参数设置进行分析,然后对多组数据进行了结果分析,并在相同条件下,对比了本文模型与分阶段考虑库存匹配/合同计划方法的实验结果,验证了本文模型和算法的有效性.     

面向武器装备系列研制的灵境仿真研究

首先阐明面向武器装备系列研制的灵境仿真研究的重要性及其学科归属.根据实施约束条件,将本项研究定位于应用基础研究.基于90年代的计算技术基础设施,将VR仿真开发系统的技术目标设定为自学习、自优化、目标驱动的自产生式建模与仿真环境.在1995年已实现的人工智能嵌入面向对象编程AI+OOP形式化体系中,通过知识封装赋予对象以知识禀赋和似人的精神属性.把AIOOM开发平台提升到面向智能体层次.文章给出Agent设计及实现的形式化描述,并通过二个实例说明该系统的可行性和优势.最后,展望系统发展方向并指出待努力解决和问题.     

一种分散式空间服务网络模型

提出分散式空间服务网络模型来克服空间服务宿主服务器间的"孤岛"状态以及网络的伸缩性障碍。以Super Geo-Peer、Basic Geo-Peer和Inferior Geo-Peer分别建模不同能力的空间服务宿主服务器和空间服务消费者。在分散式空间服务网络模型的服务发现过程中,建立关于Super Geo-Peer和Basic Geo-Peer间比率的系统代价模型,并推导出满足最小系统代价的最佳比率。在此基础上,给出了一种维护分散式空间服务网络系统的可选方案。     

一种面向服务的空战实体建模方案

重用性和互操作性是仿真建模的核心目标,然而由于传统建模范式的"强计划"性特征,导致仿真系统中各模型要素之间关联协议的固化,从而使得模型的可重用和互操作水平较低.提出一种面向服务的空战仿真实体建模方案,将遍布于其中创建、协调、通信等各方面的关联协议有效抽取并集成为一系列通用的仿真服务.这些仿真服务具有一致性的普适接口和充分的机器可处理性描述,从而为复杂关联协议的可编制和动态绑定能力提供支持,使空战仿真实体成为服务化的仿真系统,进一步促进了其可重用和互操作水平.     

普适化仿真网格中仿真服务迁移技术的研究

为了满足普适化仿真网格中节约网络带宽、资源配置优化和负载平衡、支持离线服务的应用需求,研究提出了基于移动Agent和上下文感知技术的仿真服务迁移机制.在实现上,定义了仿真服务迁移代理及其内部模块组成,设计了与外部环境进行交互的三类接口,设计了仿真服务和客户端与迁移相关的通用接口,实现了对仿真服务迁移全生命周期的管理;提出了一种基于上下文感知的仿真服务迁移策略.最后,给出了普适化仿真网格中仿真服务迁移的具体实现.     

基于面向服务的通用任务规划仿真集成方法研究

采用基于Service oriented architecture(SOA)的集成框架实现了仿真环境中无人机系统的通用任务规划模块功能的集成.给出了具有系统之系统特点的多无人机综合仿真环境UAVSSE体系结构设计和多层次集成方法.将任务规划功能模决抽象为任务规划服务,基于Web Services技术实现通用的任务规划服务封装.利用注册、发现和绑定机制,任务规划功能能够动态地集成进仿真运行,并能为多架无人机和多个地面系统的仿真提供任务规划服务.通过综合仿真环境中的原型系统验证了相关技术,结果表明基于面向服务方法的任务规划集成能够为多UAV仿真环境提供有效的任务规划功能集成,弥补了HLA在构建动态"系统之系统"仿真中的不足,并能为未来的仿真系统和真实UAV一体化运行提供借鉴.     

Automatic patent document summarization for collaborative knowledge systems and services

Engineering and research teams often develop new products and technologies by referring to inventions described in patent databases. Efficient patent analysis builds R&D knowledge, reduces new product development time, increases market success, and reduces potential patent infringement. Thus, it is beneficial to automatically and systematically extract information from patent documents in order to improve knowledge sharing and collaboration among R&D team members. In this research, patents are summarized using a combined ontology based and TF-IDF concept clustering approach. The ontology captures the general knowledge and core meaning of patents in a given domain. Then, the proposed methodology extracts, clusters, and integrates the content of a patent to derive a summary and a cluster tree diagram of key terms. Patents from the International Patent Classification (IPC) codes B25C, B25D, B25F (categories for power hand tools) and B24B, C09G and H011 (categories for chemical mechanical polishing) are used as case studies to evaluate the compression ratio, retention ratio, and classification accuracy of the summarization results. The evaluation uses statistics to represent the summary generation and its compression ratio, the ontology based keyword extraction retention ratio, and the summary classification accuracy. The results show that the ontology based approach yields about the same compression ratio as previous non-ontology based research but yields on average an 11% improvement for the retention ratio and a 14% improvement for classification accuracy.