气象雷达通用测试台的设计与实现

采用自动测试和综合仿真技术,解决了对雷达的多路被测信号的选择和陀螺平台的模拟等问题,适用于部分气象雷达的故障检测和性能测试,实现对雷达天线、收发机和显示器的自动测试;采用高灵敏度温度传感器、过压过流检测等多种保护措施,满足被测雷达对电源的特殊要求;其智能化程度高,操作简便,实用,可以减少维修检测的人为误差,对于提高飞行安全具有及其重要的意义,因此推广应用前景好,经济效益明显,填补了国内气象雷达检测设备的空白。     

小灵通基站电源监控系统的电磁干扰设计

为了保证小灵通基站电源的可靠性,业界提出了通过ISDN通信线路进行信号和电源同时传输的方案,即直流电源远供;由于监控单元是小灵通远供电源系统的控制核心,因此,监控模块能够稳定和可靠地工作是保证远供电源系统可靠运行的关键;而通信局站中通信设备众多,电磁环境相对比较恶劣,因此对设备的电磁兼容性要求也较高;分析了小灵通基站电源监控模块的功能与结构,并从原理图设计、PCB设计及外壳设计方面给出了解决电磁干扰的方案;实践证明,该监控系统运行稳定可靠,取得了预期效果,具有较高的实用价值。     

基于WINCE的数据采集与监控系统设计与实现

为了更有效地对电力系统进行监控,提出了一种适合于电力系统的嵌入式WINCE的数据采集与监控系统的设计和实现方案;它是对现场数据进行采集,分析并存储,并将监测到的数据返回给监控界面,实现对远程设备的监控;分析了系统的内部体系结构,介绍了各个模块的功能,并完成了数据采集与监控系统的各个部分的软件设计与实现,并通过了各项性能测试;系统的人性化的监控界面和双机热备的加入,提高了系统的实用性、稳定性和安全性,有很好的应用前景。     

Learning in an Ambient Intelligent World: Enabling Technologies and Practices

The rapid evolution of information and communication technology opens a wide spectrum of opportunities to change our surroundings into an Ambient Intelligent (AmI) world. AmI is a vision of future information society, where people are surrounded by a digital environment that is sensitive to their needs, personalized to their requirements, anticipatory of their behavior, and responsive to their presence. It emphasizes on greater user friendliness, user empowerment, and more effective service support, with an aim to bring information and communication technology to everyone, every home, every business, and every school, thus improving the quality of human life. AmI unprecedentedly enhances learning experiences by endowing the users with the opportunities of learning in context, a breakthrough from the traditional education settings. In this survey paper, we examine some major characteristics of an AmI learning environment. To deliver a feasible and effective solution to ambient learning, we overview a few latest developed enabling technologies in context awareness and interactive learning. Associated practices are meanwhile reported. We also describe our experience in designing and implementing a smart class prototype, which allows teachers to simultaneously instruct both local and remote students in a context-aware and natural way.     

Aligning Collaborative Business Processes—An Organization-Oriented Perspective

Business collaboration encompasses the coordination of information flows among organizations as well as the composition of their business processes toward mutual benefits. While integrating business processes of different organizations seamlessly, it brings great challenges to keep participating organizations as autonomous entities. To address this issue, we propose a new perspective on modeling collaborative business processes with a novel concept called relative workflow (RWF). With its visibility control mechanism, the RWF model defines what a participating organization can perceive in collaboration and thereby allows each organization to customize its own collaboration process and behaviors. In this paper, we present a formal definition of RWFs and related algorithms for generating RWFs. A prototype is implemented on the Web service platform for the proof-of-concept purpose.     

A DR algorithm based on artificial potential field method

Considering player entity’s motion regularity into DR (Dead Reckoning) algorithm can improve its prediction accuracy in MMOG (Massively Multiplayer Online Games), a novel DR algorithm was proposed to solve this problem in this paper. First the artificial potential field model of player entities is created, and then the acceleration of player entities is weighted with the acceleration produced by the potential field force and the acceleration reckoned by the traditional DR algorithm. In order to calculate the weight, Q-Learning algorithm is used. The experiments show that the method can improve prediction accuracy and reduce the network traffic.     

基于ART2神经网络的车辆感应波形识别的方法

在智能交通系统中,无论是在交通监控领域还是在不停车收费系统方面,对车辆进行自动分类都十分重要;环形线圈车辆检测器以其良好的适应性、稳定性和高效性在车辆监测方面得到了广泛的应用,同时利用同类型或同种车辆经过环形线圈产生轮廓相似的电磁感应波形这一特点也可以进行车型识别;对波形进行预处理,以波形轮廓的抽样、量化值作为特征向量,将特征向量作为ART2神经网络的输入向量,经ART2神经网络的自动聚类最终实现车辆感应波形的聚类与识别。     

基于时间放大的光盘抖晃测试系统设计

利用TIA(时序分析仪)或其它模拟方法来测量光盘的抖晃存在成本高、灵活性差、稳定性低等不足,而在实际的光盘生产测试过程中,更需要一种升级扩展方便、性价比高的测试设备。在粗糙脉宽检测方法的基础上,引入时间放大电路,成功地设计出一套以FPGA为核心,基于PCI Express总线的抖晃测试系统;实验表明,该系统具有结构简单、精度高、设计灵活、成本低等特点,在光盘测试和抖晃特性研究方面具有较好的应用价值和一定的市场前景。     

A class of classification and regression methods by multiobjective programming

An extensive review for the recent developments of multiple criteria linear programming data mining models is provided in this paper. These researches, which include classification and regression methods, are introduced in a systematic way. Some applications of these methods to real-world problems are also involved in this paper. This paper is a summary and reference of multiple criteria linear programming methods that might be helpful for researchers and applications in data mining.     

基于多类别支持向量机的城市交通网络模式分类研究

在网络层次上进行区域交通信号控制、交通分配和路径诱导是缓解交通堵塞的有效途径之一。为进一步提高城市交通网络分类检测的准确性,将支持向量机（Support Vector Machine）应用于交通事件的模式分类研究。通过提出一种基于多类别支持向量机的交通模式分类方法,设计了适合该检测系统的网络结构。仿真结果表明：相对于其他算法,城市交通网络的状态可分为数量有限且不同类型的模式,并且这些模式不断重复出现,当系统识别出网络处于某种模式时,就可参照事先确定的优化参数及策略进行交通控制和诱导,以缓解交通拥塞,提高交通系统的运行效率。该网络结构对于小样本数据具有检测率高、误报率低的优点,完全适用于城市交通的模式分类,同时也存在不足之处,指出了今后进一步研究的方向。