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Predictive model-aided filtering scheme of data-collection in WSN

The Journal of China Universities of Posts and Telecommunications 2011年第2期18卷 17-24页

作者： HUANG RU ZHANG Zai-chen XU Guang-hui School of Information Science and Engineering East China University of Science and Technology Shanghai 200237 China State Key Laboratory of Mobile Communications Southeast University Nanjing 210096 China Institute of Communications Engineering PLA University of Science and Technology Nanjing 210007 China

The paper proposes a prediction-mode-based filtering mechanism（PMF） to solve the problems of transmission energy wasting caused by time-redundant data in wireless sensor networks（WSN）,according to the characteristic of spatio-temporal correlations on sampling series in *** works have suggested several approaches to decrease energy cost during data transmission process via data aggregation tree *** from those methods in above researches,our proposed scheme mainly focus on reducing the temporal redundant degree in event-source to achieve energy-saving effect via self-adaptive filtering *** framework of PMF for energy-efficient collection is composed of prediction module for mining the change law of time domain,self-learning module for updating model,and driving module for controlling data filtering *** with the design of error driving rule and threshold distributing rule,which is the middleware in the above filtering mechanism,the quantity of transmission load in networks can be greatly inhibited on the premise of quality of service（QoS） assurance and energy consumption can be reduced ***,the experimental results show that the performance of PMF can significantly outperform some classical data-collection algorithms on energy-saving effect and self-adaptability.

关键词： WSN data-collection filtering mechanism energy-saving

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LineMe:A Platform for Constructing Evolving Social Networks 36

LineMe:A Platform for Constructing Evolving Social Networks

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第36届中国控制会议

作者： Yansong Teng Lin Wang Xiaofan Wang Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China

ISBN: (纸本)9781538629185

Although online social network platforms such as Facebook and WeChat have collected huge amount of online ties,many of the ties do not correspond to real-world（offline） friendships and the amount of online communication between a pair of people does not necessarily quantify the strength of the tie in ***,real-world strong and weak ties were collected via questionnaires which were not *** we collect massive offline social ties via online platforms? In this work,we design LineMe,an online website and toolkit which allows users to map their offline friend ties within a *** is scalable and flexible to handle large-scale and controllable experiments on social *** perform an empirical experiment to collect evolving network data in a class of graduates for 4 *** is open to everyone and is now available at http://***.

关键词： Social networks offline data-collection network evolving

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Research and development of 1st 8-slice CT scanner in China

Research and development of 1st 8-slice CT scanner in China

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2004年CT和三维成像学术年会

作者： LIU Ji-ren ZHENG Quan-lu (Neusoft Digital Medical Systems CO.,LTD.Shenyang 110179,China)

Muti-slice based CT scanners are being recognized as the most advanced diagnostic equipments nowadays,theirtechnologies have been innovating & developing tremendously with the badly needs from the *** Group made the 8technical breakthrough and innovation and successfully developed the 8-slice based CT scanner with its independent intellectualproperty right on the basis of those of the 1

关键词： Multi-slice CT scanner X-ray data-collection Dose

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