数字电视计费系统模型的设计

数字电视用户管理计费系统是广电行业的运营支撑系统,根据数字电视业务现状及未来的发展趋势,对数字电视计费进行了通用性建模。建模过程完全采用面向对象的分析方法,模型致力于解决广电行业当前计费中所存在的一些问题。     

VRML场景中的智能替身研究

给出VRML场号中的智能替身模型，使得替身可以更好的理解用户的意图。首先，利用参数化的方法构造替身模型，使得用户可以更快捷的定制个性化的替身；在此基础上，分层次的动作模型实现了从高层的面向任务的动作到底层替身物理动作的高效分解与映射；最后，多通道的交互方式使得用户可以通过更自然的方式控制自己的替身。VRML场景中的智能替身研究为VRML多用户虚拟场景中替身交互，以及替身与场景交互的研究提供了基础。     

Density-based clustering method in the moving object database

With the rapid advance of wireless communication, tracking the positions of the moving objects is becoming increasingly feasible and necessary. Because a large number of people use mobile phones, we must handle a large moving object database as well as the following problems. How can we provide the customers with high quality service, that means, how can we deal with so many enquiries within as less time as possible? Because of the large number of data, the gap between CPU speed and the size of main memory has increasing considerably. One way to reduce the time to handle enquiries is to reduce the I/O number between the buffer and the secondary storage. An effective clustering of the objects can minimize the I/O-cost between them. In this paper, according to the characteristic of the moving object database, we analyze the objects in buffer, according to their mappings in the two-dimension coordinate, and then develop a density-based clustering method to effectively reorganize the clusters. This new mechanism leads to the less cost of the I/O operation and the more efficient response to enquiries.     

Training Load Monitoring Algorithms on Highly Sub-Metered Home Electricity Consumption Data

The growing interest in energy-efficient buildings is driving changes in investment, design, and occupant behavior. To better focus cost and resource conservation efforts, electricity consumption feedback can be used to provide motivation, guidance, and verification. Disaggregating by end-use helps both consumers and producers to identify targets for conservation. While hardware-based sub-metering is costly and labor-intensive, non-intrusive load monitoring (NILM) is capable of gathering detailed energy-use data with minimal equipment cost and installation time. However, variations in measurements between metering devices complicate the process of compiling the necessary appliance profiles. Future work involves the devel-opment of NILM algorithms using sensor fusion and detailed appliance-level data gathered from a highly-sensed house currently being constructed near Pittsburgh, Pennsylvania.     

信息技术课程教学中基于网络学习的试验与思考

基于网络的学习是克服现有信息技术教学中存在弊端的有效方法之一 ,本文介绍了试验的过程和调查结果 ,并提出了今后改革的方向 .     

Study on the Medical Image Distributed Dynamic Processing Method

To meet the challenge of implementing rapidly advanced, time-consuming medical image processing algorithms, it is necessary to develop a medical image processing technology to process a 2D or 3D medical image dynamically on the web. But in a premier system, only static image processing can be provided with the limitation of web technology. The development of Java and CORBA (common object request broker architecture) overcomes the shortcoming of the web static application and makes the dynamic processing of medical images on the web available. To develop an open solution of distributed computing, we integrate the Java, and web with the CORBA and present a web-based medical image dynamic processing methed, which adopts Java technology as the language to program application and components of the web and utilies the CORBA architecture to cope with heterogeneous property of a complex distributed system. The method also provides a platform-independent, transparent processing architecture to implement the adva     

海空对抗模拟的面向对象的分析与实现

基于海空对抗的战术背景，结合面向对象的建模技术和数据库技术，给出了基于面向对象的海空对抗的建模与VC 程序实现过程，以及空战部分程序实现流程图。仿真的数学模型基于数理统计理论，并阐述了部分关键模型的实现方法和功能。最后，进行了依据想定的模拟与结果分析。     

氯氧镁水泥结合铝镁质无碳不烧砖性能的研究

采用氯氧镁水泥为结合剂制备铝镁质无碳不烧砖,研究了MgCl2·6H2O和镁砂含量对材料物理性能的影响。结果表明,氯氧镁水泥能明显提高不烧砖(110℃×24h和1600℃×3h)耐压强度;随着镁砂含量的增加,不烧砖高温下低熔相量减少,镁铝尖晶石生成量增加,材料的组织结构变疏松,常温耐压强度逐渐降低。材料中镁砂的最佳加入量为10%～12%。     

求解特征值问题的神经网络

本文给出一种求解矩阵特征值问题的神经网络，理论分析和模拟结果都表明本文给出的网络可实时求解矩阵特征值问题。     

考虑家庭成员的早高峰出行行为分析

早高峰出行行为一般包括：通勤和通学.随着私家车拥有率的提高，在早高峰期间，家庭成员乘坐同一辆车，从居住地出发到达多个目的地的现象越来越普遍，如：通勤者开车先将小孩送到学校，继而前行去往工作地上班.本文基于Y型道路汇流网络，考虑个人通勤和家庭通勤两类出行者，构建高峰期出行选择均衡模型，分析通勤者的出发时间选择.在用户均衡状态下，每类通勤者都不能通过单方面改变自己的行为选择而使其出行成本变得更小.最后，通过数值算例对理论结论进行了验证和分析.