关于本地传输网网络优化的探讨

根据长期工作经验,对现有网络存在的问题进行分析,提出对本地传输网网络优化的有关建议。     

刍议C~3I系统技术在城市交通管理中的应用

首先简单叙述了Ｃ３Ｉ系统在军事上的应用，然后针对我国各类大中型城市的交通现状及特点，涉及到城市交通管理、道路管理、车辆管理和城市交通管理指挥中心站、区域指挥站及各交叉路口控制站，提出将Ｃ３Ｉ系统体系结构运用到民用城市交通管理中去的构想。     

山重水碧桃花源——杭州绿城·桃花源生态休闲居住区规划

杭州绿城·桃花源生态休闲居住区是一个集居住、游憩及生态环境于一体的低密度住宅园区。作者介绍了该项目的规划构思和规划内容,指出项目规划由风景园林为主多专业合作的优势,对发展中的城郊居住区规划具有参考价值。     

回转窑窑体变形的一种实时监测与报警系统

针对回转窑在运行过程中窑体变形的情况开发了一种监测与报警系统。完成了系统的前向通道设计、单片机与PC机的串行通讯设计和报警显示。     

城市化进程中的小城镇交通初探

通过对小城镇城市结构、路网结构、交通结构和交通管理特征进行详细分析，得出小城镇交通问题症结所在，并初步提出小城镇交通规划和交通治理的对策。     

智能建筑的电气设计子项

阐述智能建筑的电气设计及施工中各电气设计子项的具体解决方案，以及弱电竖井设置中要注意的一些问题。     

Fodor and Pylyshyn on connectionism

Fodor and Pylyshyn (1988) have argued that the cognitive architecture is not Connectionist. Their argument takes the following form: (1) the cognitive architecture is Classical; (2) Classicalism and Connectionism are incompatible; (3) therefore the cognitive architecture is not Connectionist. In this essay I argue that Fodor and Pylyshyn's defenses of (1) and (2) are inadequate. Their argument for (1), based on their claim that Classicalism best explains the systematicity of cognitive capacities, is an invalid instance of inference to the best explanation. And their argument for (2) turns out to be question-begging. The upshot is that, while Fodor and Pylyshyn have presented Connectionists with the important empirical challenge of explaining systematicity, they have failed to provide sufficient reason for inferring that the cognitive architecture is Classical and not Connectionist.     

On Striping Traffic over Multiple IEEE 802.11(b) Wireless Channels

Due to interference, path loss, multipath fading, background noise, and many other factors, wireless communication normally cannot provide a wireless link with both a high data rate and a long transmission range. To address this problem, striping network traffic in parallel over multiple lower-data-rate but longer-transmission-range wireless channels may be used. In this paper, we propose a new striping method and evaluate its performances over multiple IEEE 802.11(b) channels under various conditions. Our extensive simulation results show that this method is quite effective for such an application. S.Y. Wang is an Associate Professor of the Department of Computer Science and Information Engineering at National Chiao Tung University, Taiwan. He received his Master and Ph.D. degree in computer science from Harvard University in 1997 and 1999, respectively. His research interests include wireless networks, Internet technologies, network simulations, and operating systems. He is the author of the NCTUns 2.0 network simulator and emulator, which is being widely used by network and communication researchers. More information about the tool is available at http://NSL.csie.nctu.edu.tw/nctuns.html. C.H. Hwang received his master degree in computer science from NCTU in 2002 and currently is working for a network company. C.L. Chou currently is a third-year Ph.D. student at the Department of Computer Science and Information Engineering, National Chiao TungUniversity (NCTU), Taiwan. He received his master degree in computer science from NCTU in 2002.     

数据挖掘技术在有线电视领域的应用

数据挖掘是近年来在数据库技术、统计学、人工智能、神经网络等学科的基础上发展起来的一门交叉学科，数据挖掘技术已经成功地应用于商业领域，随之又迅速地扩展到社会保险、医学、电信等领域，探讨和分析数据挖掘技术在有线电视领域的应用，并给出了系统体系结构和挖掘算法。     

加快电信管制改革 实现电信健康发展

通过对我国电信业市场结构、市场行为及市场绩效进行分析，阐明了在我国进行电信管制的必要性。通过管制，以实现电信企业的有效竞争，使我国电信业得到健康发展。