from    
to    
search  

 


物理系colloquium: Excitonic Condensation in a Quantum Semiconductor ofSuperat...
理学院科学之美讲坛: Chiral Spintronics
清华大学材料科学与工程研究院《材料科学论坛》学术报告:In Situ Surface X-raySc...
【图书馆系列讲座】开题与立项前的文献调研概述(社科类)
报告题目:
AI and Optimization Methods in Sensor Network Management
 报告人:
Kendall E. Nygard
Professor in the Department of Computer Science and Operations Research at North Dakota State University
报告时间:
2007-06-05 10:00
报告地点:
清华大学FIT3-125
主办单位:
计算机科学与技术系
  简介:

Abstract:

 

We describe several coverage and scheduling problems that arise in the intelligent management of heterogeneous sensor networks. We also describe an application to management of a new lunar rover design that is embedded in a sensor network. Fuzzy reasoning, rough sets, and closed-form generalized network models are devised to manage the sensor networks.

 

 

Biographical information:

 

 

Dr. Kendall E. Nygard is a Professor in the Department of Computer Science and Operations Research at North Dakota State University.  From 1996 to 2005 he served as department chair.  He also served as the Director of the Scientific Computing center at the University of North Dakota.  He earned his Ph.D. degree in 1978 from Virginia Polytechnic Institute and State University.  He is serving as Advisory Editor of the Journal of Heuristics. He has been principal investigator for more than 30 federal, state, and private grants and contracts. He is widely published in aspect-oriented software, sensor networks, cooperative control, multi-agent systems, metaheuristics, network and combinatorial optimization, and sub-symbolic artificial intelligence.

今日相关信息
Chinese American Images in Early Amer...
 
同类别相关信息
清华海外名师讲堂第144讲:Skype 的故事...
清华信息大讲堂第113讲:Perceptual Co...
Challenges in Personal Super-comput...
动物保护志愿者团队的组织建设与发展――...
清华大学科学社会学与政策学沙龙第89期...
学术活动