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2012 International Conference on Computer Science and Information Processing, CSIP 2012

作者： Zhang, Xianyong Miao, Duoqian Department of Computer Science and Technology Tongji University Shanghai 201804 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China College of Mathematics and Software Science Sichuan Normal University Chengdu Sichuan 610068 China

ISBN: (纸本)9781467314114

Grade serves as a fundamental quantitative index, and the graded rough set model is a basic model. Thus, this paper aims to investigate an original logical difference in the graded rough set model. According to the specific logical requirement on the grade index, the logical difference is put forward based on the graded lower and upper approximation operators;the new concept has the practical logical quantitative meaning. Then, both the macroscopic essence and microscopic fundamental structure are obtained for the new concept. For calculation, two algorithms, the conventional and microscopic algorithms are proposed and analyzed emphatically, and we conclude that the microscopic algorithm has more advantages in time and space complexity. Finally, the logical difference and its algorithms are both illustrated by an example. © 2012 IEEE.

关键词： Rough set theory

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A study on the optimum state for classroom learning from brain cognition perspective-research on relaxed alertness

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Journal of Convergence Information Technology 2012年第23期7卷 564-571页

作者： Gu, Rong Li, Jie Department of Electronic Science and Technology Tongji University Shanghai China The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai China

Booming development in brain science injects new vitality into the reform of teaching methods. Based on the perspective of brain cognition, this article addresses the optimum state for classroom learning- the relaxed alertness. This is a good state of mind combined low threats with high challenges. Specially, the vigilance is estimated by extracting useful electroencephalogram (EEG) information in time-domain, frequency-domain and spatial distribution. It is used as an indicator to judge whether a student is in the optimum state. Focusing on how to achieve that ideal state, this article discusses some new teaching methods, including the use of Baroque music to stimulate alpha brainwave, the design of effective pattern of guiding class to arouse positive emotions of students and the conversion of teaching forms as novel stimuli to heip them improve vigilance and tide over thinking trough. The effectiveness of these methods is verified by the relevant experimental results.

关键词： Electroencephalography

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Mobile message-aware enhancement using fuzzy lattice reasoning

Mobile message-aware enhancement using fuzzy lattice reasoni...

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2012 9th International Conference on Fuzzy systems and Knowledge Discovery, FSKD 2012

作者： Al-Sultany, Ghaidaa Li, Maozhen Ponraj, Mahesh Al-Raweshidy, Hamid School of Engineering and Design Brunel University Uxbridge UB8 3PH United Kingdom Key Laboratory of Embedded Systems and Service Computing Ministry of Education Tongji University China

ISBN: (纸本)9781467300223

Developing service discovery, information retrieval and context-aware to adapt to user everywhere/anytime and attain the ambient intelligence arise the issue of handling misclassification, imperfect reasoning and estimation with respect to the current context. To deal with this issue, we propose the use of Fuzzy set theory with the purpose of inferring and reasoning that adopt fuzzy lattice classifier for decision making. It is applied on top of SOIM framework to increase the accuracy of the classification process with clearer decisions. © 2012 IEEE.

关键词： Fuzzy set theory

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Battery discharge characteristics of wireless sensors in building applications

Battery discharge characteristics of wireless sensors in bui...

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2012 9th IEEE International Conference on Networking, Sensing and Control, ICNSC 2012

作者： Guo, Wenqi Healy, William M. Zhou, MengChu Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ 07102 United States National Institute of Standards and Technology Gaithersburg MD 20899 United States Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 200092 China

ISBN: (纸本)9781467303880

Sensor nodes in wireless networks often use batteries as their source of energy, but replacing or recharging exhausted batteries in a deployed network can be difficult and costly. Therefore, prolonging battery life becomes a principal objective in the design of wireless sensor networks (WSNs). There is little published data that quantitatively analyze a sensor node's lifetime under different operating conditions. This paper presents several experiments to quantify the impact of key wireless sensor network design and environmental parameters on battery performance. Our testbed consists of MicaZ motes, commercial alkaline batteries, and a suite of techniques for measuring battery performance. We evaluate known parameters, such as communication distance, working channel and operating power that play key roles in battery performance. Through extensive real battery discharge measurements, we expect our results to serve as a quantitative basis for future research in designing and implementing battery-efficient sensing applications and protocols. © 2012 IEEE.

关键词： Zigbee

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On iterative liveness-enforcement for a class of generalized Petri nets

On iterative liveness-enforcement for a class of generalized...

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2012 IEEE International Conference on Automation Science and Engineering: Green Automation Toward a Sustainable Society, CASE 2012

作者： Hou, Yifan Liu, Ding Zhou, Mengchu School of Electro-Mechanical Engineering Xidian University No. 2 South Taibai Road Xi'an 710071 China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ 07102 United States Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 200092 China

ISBN: (纸本)9781467304283

This work presents an iterative liveness-enforcing method for a class of generalized Petri nets, which can model flexible manufacturing systems. The proposed method checks the liveness of net models using mixed integer programming and controls the token allocations of resource places instead of siphons using a liveness and resource usage ratio-enforcing supervisor. The enumeration of a kind of special structures, which is required in the previous work, is avoided and the number of iterations is bounded by the number of shared resource places in the net model. All strict minimal siphons in the controlled systems are minimally controlled. Several explanatory examples are used to illustrate this method. © 2012 IEEE.

关键词： Petri nets

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A distributed SVM ensemble for image classification and annotation

A distributed SVM ensemble for image classification and anno...

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2012 9th International Conference on Fuzzy systems and Knowledge Discovery, FSKD 2012

作者： Alham, Nasullah Khalid Li, Maozhen Liu, Yang Ponraj, Mahesh Qi, Man School of Engineering and Design Brunel University Uxbridge UB8 3PH United Kingdom Key Laboratory of Embedded Systems and Service Computing Ministry of Education Tongji University China Department of Computing Canterbury Christ Church University Canterbury-Kent CT1 1QU United Kingdom

ISBN: (纸本)9781467300223

Combination of classifiers leads to a substantial reduction of classification errors in a wide range of applications. Among them SVM ensembles with bagging have shown better performance in classification than a single SVM. However, the training process of SVM ensembles is notably computationally intensive especially when the number of replicated training datasets is large. This paper presents MRESVM, a MapReduce based distributed SVM ensemble algorithm for image annotation which re-samples the training dataset based on bootstrapping and trains SVM on each dataset in parallel using a cluster of computers. MRESVM is evaluated in a experimental environment and the results show that the MRESVM algorithm reduces the training time significantly while achieves high level of accuracy in classifications. © 2012 IEEE.

关键词： MapReduce

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Trust-drive Minimize Cost Within Deadline Algorithm for Instance-intensive Workflows in Cloud computing Environment

Trust-drive Minimize Cost Within Deadline Algorithm for Inst...

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第十二届中国Rough集与软计算学术会议、第六届中国Web智能学术研讨会及第六届中国粒计算学术研讨会联合学术会议

作者： LI Dao-guo YANG Chen ZHAO Rong Hangzhou Dianzi University Hangzhou 310018 China The Key Laboratory of Embedded System and Service Hangzhou Dianzi University Hangzhou 310018 China

The workflow scheduling algorithms and strategies having been put forward by Wieczorek M,Rajakumar S,Simion B,Shi Zhiao,etc can be effectively applied to deal with instance-sparse workflows and single complex instance,but these computing techniques are inefficient to dispatch and process instance-intensive workflows which emerge largely in the electronic commerce,the online banking,the e-government,and the cloud computing *** cloud computing has many unique advantages of facilitating instance-intensive workflows execution except unreliable server resource.

关键词： Cloud computing Instance-intensive workflows Trust value Trust-drive minimize cost

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Mobile message-aware enhancement using fuzzy lattice reasoning

Mobile message-aware enhancement using fuzzy lattice reasoni...

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International Conference on Fuzzy systems and Knowledge Discovery (FSKD)

作者： Ghaidaa Al-Sultany Maozhen Li Mahesh Ponraj Hamid Al-Raweshidy School of Engineering and Design Brunel University Uxbridge UK The Key Laboratory of Embedded Systems and Service Computing Ministry of Education University of Tongji China

关键词： Lattices Cognition Context Ontologies Semantics Decision making Mobile communication

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SmartMote: Energy and VoI aware solar-powered sensor network design for environment monitoring

SmartMote: Energy and VoI aware solar-powered sensor network...

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IEEE Internatonal Conference on Mobile Adhoc and Sensor systems (MASS)

作者： Shao-Jie Tang Cheng Bo Xiang-Yang Li Yunhao Li Xiaohua Xu Jing Yuan Department of Computer Science Illinois Institute of Technology USA The Key Laboratory of Embedded System and Service Computing Tongji University China Tsinghua University Beijing Beijing CN Department of Computer Science University of Illinois at Chicago USA

Due to advances in low power micro-sensor technology, energy harvesting techniques, we can now build large scale solar-powered sensor networks to support long-running operations. Solar powered sensors often harvest variable amounts of energy in different weather conditions. Then a primary requirement for an efficient and a long-running solar-powered sensor system is to adapt to changing environment conditions and resources, and to gather as much valuable data as possible. Sensing and collecting data at a constant rate, without taking into account energy availability or data deliverability, will either drain the battery or waste resources. In this work, we design and test a highly efficient and robust solar-powered system SmartMote; and we further present an energy and value of information (VoI) aware routing strategy, that balances the rates of sensing with packet delivery for SmartMote. SmartMote achieves fairness and near maximum utility across the network. We deploy SmartMote in a forest with 100 sensors in order to monitor the humidity, temperature and luminance intensity. Our experimental results corroborate our design.

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SelectCast: Scalable Data Aggregation Scheme in Wireless Sensor Networks

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IEEE Transactions on Parallel and Distributed systems 2012年第10期23卷 1958-1969页

作者： Cheng Wang Changjun Jiang Shaojie Tang Xiang-Yang Li Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai China Department of Computer Science and Engineering University of Tongji China Department of Computer Science Illinois Institute of Technology Chicago IL USA Department of Computer Science and Engineering Tsinghua National Laboratory for Information Science and Technology (TNLIST) University of Tongji China

In this work, for a wireless sensor network (WSN) of n randomly placed sensors with node density \lambda \in [1,n], we study the tradeoffs between the aggregation throughput and gathering efficiency. The gathering efficiency refers to the ratio of the number of the sensors whose data have been gathered to the total number of sensors. Specifically, we design two efficient aggregation schemes, called single-hop-length (SHL) scheme and multiple-hop-length (MHL) scheme. By novelly integrating these two schemes, we theoretically prove that our protocol achieves the optimal tradeoffs, and derive the optimal aggregation throughput depending on a given threshold value (lower bound) on gathering efficiency. Particularly, we show that under the MHL scheme, for a practically important set of symmetric functions called divisible perfectly compressible (DPC) functions, including the mean, max, and various kinds of indicator functions, etc., the data from \Theta (n) sensors can be aggregated to the sink at the throughput of a constant order \Theta (1), implying that, our MHL scheme is indeed scalable.

关键词： Throughput Wireless sensor networks Temperature measurement Protocols Lattices Temperature sensors

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