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The 8th World Congress on Intelligent Control and Automation(第八届智能控制与自动化世界大会 WCICA 2010)

作者： Peter B.Luh Bingjie Zhang Tongxin Zheng Feng Zhao Eugene Litvinov Department of Electrical and Computer Engineering University of Connecticut Storrs CT 06269 USA Systems Architecture and Technology ISO New England Holyoke MA 01040-2841 USA

In the current US day-ahead electricity markets, auction is complicated because of the existence of both discrete variables and continuous variables, which implies that there may be no linear prices to support equilibrium. To meet the system demand, the Independent System Operator (ISO) uses lump sum “uplift payments” to make generators follow its schedule. However, these uplift payments are opaque and difficult to hedge in terms of price signals. In addition, there are incentives for suppliers to bid other than their true costs. Untruthful bidding is undesirable, since in this case minimizing the total bid cost does not imply minimizing the total production cost, or maximizing the social welfare. As a result, the market may not be efficient. In this paper, system-wide redundant constraints on weighted generation levels are introduced to the day-ahead energy market to achieve equilibrium. With multipliers relaxing system demand constraints and redundant constraints serving as multipart prices, equilibrium can be achieved under the general condition that the optimal primal solution is among subproblem solutions for all units. Although incentive compatibility may not be achievable, the novel “local incentive compatibility” concept is introduced and quantified as the second best alternative to incentive compatibility.

关键词： Pricing Generators Silicon Electricity supply industry ISO Biological system modeling Schedules

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An approach to extracting building objects in natural images

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Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and technology (Natural Science Edition) 2010年第8期38卷 38-41页

作者： Li, Lingling Jin, Taisong Li, Cuihua Li, Yuan Department of Computer Science and Application Zhengzhou Institute of Aeronautical Industry Management Zhengzhou 450015 China School of Information Science and Technology Xiamen University Xiamen 361005 China School of Architecture and Civil Engineering Xiamen University Xiamen 361005 China

A new approach to extract building objects was proposed. Firstly, rival penalized competitive learning(RPCL) algorithm was used to improve segmentation granularity of super-pixel algorithm based on graph theory;Secondly, the spatial envelope was used to classify the image patches using support vector machine (SVM) classifier, and distinguish building and non-building category in the image;Finally, building hypothesis in the image was verified based on structure of the building category. The experiments show on standard dataset that the proposed algorithm outperforms other similar algorithms on building extraction, and also meet the real-time requirements in general application.

关键词： Buildings

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Benchmarking IP blacklists for financial botnet detection

Benchmarking IP blacklists for financial botnet detection

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International Symposium on Information Assurance and Security (IAS)

作者： David Oro Jesus Luna Toni Felguera Marc Vilanova Jetzabel Serna Security Research Group Barcelona Digital Technology Centre Barcelona Spain La Caixa CSIRT Barcelona Spain Computer Architecture Department Technical University of Catalonia Barcelona Spain

Every day, hundreds or even thousands of computers are infected with financial malware (i.e. Zeus) that forces them to become zombies or drones, capable of joining massive financial botnets that can be hired by well-organized cyber-criminals in order to steal online banking customers' credentials. Despite the fact that detection and mitigation mechanisms for spam and DDoS-related botnets have been widely researched and developed, it is true that the passive nature (i.e. low network traffic, fewer connections) of financial botnets greatly hinder their countermeasures. Therefore, cyber-criminals are still obtaining high economical profits at relatively low risk with financial botnets. In this paper we propose the use of publicly available IP blacklists to detect both drones and Command & Control nodes that are part of financial botnets. To prove this hypothesis we have developed a formal framework capable of evaluating the quality of a blacklist by comparing it versus a baseline and taking into account different metrics. The contributed framework has been tested with approximately 500 million IP addresses, retrieved during a one-month period from seven different well-known blacklist providers. Our experimental results showed that these IP blacklists are able to detect both drones and C&C related with the Zeus botnet and most important, that it is possible to assign different quality scores to each blacklist based on our metrics. Finally, we introduce the basics of a high-performance IP reputation system that uses the previously obtained blacklists' quality scores, in order to reply almost in real-time whether a certain IP is a member of a financial botnet or not. Our belief is that such a system can be easily integrated into e-banking anti-fraud systems.

关键词： IP networks Bismuth Random access memory Measurement Banking Malware Real time systems

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Partial Target Coverage Problem in Surveillance Sensor Networks

Partial Target Coverage Problem in Surveillance Sensor Netwo...

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IEEE Conference on Wireless Communications and Networking

作者： Yu Gu Yusheng Ji Hongyang Chen Jie Li Baohua Zhao Department of Computer Science University of Science and Technology Hefei Anhui China Information Systems Architecture Science Research Division National Institute of Information Tokyo Japan Department of Computer Science University of Tsukuba Tsukuba Ibaraki Japan Institute of Industrial Science University of Tokyo Tokyo Japan

This paper deals with the partial target coverage (PTC) problem in wireless sensor networks with the objective of optimizing network lifetime. We first build a linear programming formulation, which takes total time a sensor spends on covering some targets into consideration, in order to obtain a lifetime upper bound. Then, based on the information of this formulation, we develop a sensor assignment algorithm to seek an optimal time table meeting the lifetime upper bound. A formal proof of optimality is given. We compare the proposed algorithm with a state-of-the-art algorithm: column generation approach and show that the proposed algorithm significantly outperforms in terms of computational time. Experiments have been conducted to study the effect of network parameters on network lifetime and interesting insights have been offered.

关键词： Surveillance Upper bound Wireless sensor networks Character generation computer science Linear programming Communications Society Sensor systems Laboratories Communication switching

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A park transform-based method for condition monitoring of three-phase electromechanical systems

A park transform-based method for condition monitoring of th...

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5th IET International Conference on Power Electronics, Machines and Drives (PEMD 2010)

作者： Christopher Laughman Steven B. Leeb Leslie K. Norford Steven R. Shaw Peter R. Armstrong Mitsubishi Electric Research Laboratories Inc. Cambridge MA USA Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA USA Department of Architecture Massachusetts Institute of Technology Cambridge MA USA Department of Electrical and Computer Engineering Montana State University Bozemon MT USA Masdar Institute of Science and Technology Abu Dhabi United Arab Emirates

This paper presents a Park transform-based method for preprocessing stator current data from a motor and transforming it into a form that is useful for fault detection and diagnostics. The proposed method generates power signatures that are invariant to the initial electrical angle of the voltage when the motor is connected to the utility, and can also adapt to variations in the electrical angle of the supply voltage over time. A modified nonlinear least squares algorithm identifies and tracks the parameters of the supply voltage over time, ensuring that the supply voltage and the argument of the Park transformation remain synchronized. Experimental results are presented that illustrate the method's effectiveness for identifying changes in the mechanical load on a 3/4 HP refrigeration compressor.

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Frequency dependent efficiency model of on-chip DC-DC buck converters

Frequency dependent efficiency model of on-chip DC-DC buck c...

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IEEE Convention of the Electrical and ELectronic Engineers in Israel

作者： Gregory Sizikov Avinoam Kolodny Eby G. Fridman Michael Zelikson Electrical Engineering Department Technion Technion-Israel Institute of Technology Haifa Israel Electrical and Computer Engineering Department University of Rochester Rochester NY USA Intel Architecture Group Intel Corporation Haifa Israel

An analytic method to evaluate frequency dependent losses in on-chip DC-DC buck converters is presented in this paper. These converters feature high switching losses caused by the skin effect in the package inductors. The frequency dependent air-core inductor model is shown to be critical in determining the optimal switching frequency. A general RLC parameter extraction method is also described. Considering the skin effect results in a 15% reduction in overall DC-DC converter losses. The proposed approach focuses on decreasing ripple current related losses, which are dominant in the target operating condition. Consequently, to obtain optimal efficiency, the switching frequency increases as the load current decreases. An intuitive explanation for this surprising result is that switching losses rise linearly with frequency whereas ripple losses decrease as n 1.5 . A SPICE based circuit model of a DC-DC converter is applied to validate the proposed analytic method.

关键词： Inductors Switching frequency Analytical models Converters Load modeling Skin effect Frequency dependence

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ECG T Wave Detector Based on Neural Network Improved by Genetic Algorithms

ECG T Wave Detector Based on Neural Network Improved by Gene...

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GCIS, WRI Global Congress on Intelligent Systems

作者： Sheng Chen Yu Ying Hu Gui Xian Yu Xu Ling Jin Li Nang Zhang Tie Jun Shao Computer Science Department North China University of Science and Technology Beijing China Computer Science Department of North China University of Science & Technology Beijing China Beijing Zhao Fang Investment Trust Co. Ltd. Beijing China Science College Beijing University of Civil Engineering and Architecture Beijing China Beijing Information Science & Technology University Beijing China

In order to improve the detection rate of T wave, and to solve the problem that the back propagate neural network (BPNN) is invalid when these initial weight and threshold values of BP neural network are chosen impertinently (Objective), Genetic Algorithms (GA)'s characteristic of getting whole optimization value was combined with BP's characteristic of getting local precision value with gradient method. After getting an approximation of whole optimization value of weight and threshold values of BP NN by GA, the approximation was used as first parameter of BP neural network, to train (educate) the BPNN again (in other words, learning). The educated BPNN was used to recognize T wave of electrocardiogram (ECG). In order to improve the detection rate of T wave ,making full use of the character that multi-scales changing rules of Wavelet Transform (WT)'s mould max value pairs can indicate signal break points, combining with body physiology synthesis strategy practice, T wave in ECG signal was detected. At the same time, with the help of the educated BP neural network, T wave was confirmed (Methods). Experiment results shown that this method was useful and applicable, and the detection right rate of T wave was above 98% for the MIT database (Results). It is concluded that the combination (WT, GA, BPNN) makes BP neural network to recognition T wave better (Conclusions).

关键词： Gallium Artificial neural networks Communities Gradient methods Wavelet transforms Electrocardiography Training

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The Design and Implementation of a Mobile Location-Aware Digital Signage System

The Design and Implementation of a Mobile Location-Aware Dig...

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International Conference on Mobile Ad-hoc and Sensor Networks, MSN

作者： Kun-Ming Yu Cheng-Yan Yu Bo-Han Yeh Ching-Hsien Hsu Hung-Nien Hsieh Department of Computer Science and Information Engineering Chung Hua University Taiwan Ph.D. Program of Technology Management Chung Hua University Taiwan Department of Architecture and Urban Planning Chung Hua University Taiwan

The worldwide Digital Signage market has been getting increasingly popular in recent years. Nevertheless, for service providers, the Digital Signage business is still not easy to manage and time-consuming to operate. In this paper, based on the GPS and wireless infrastructure, we present a mobile location-aware digital signage system (LDSS). Through the centralized system architecture, the applications for the Digital Signage can be expanded to various advertising vehicles including buses and other mobile advertising vehicles. Also, we present an advertisement recommendation algorithm, by which the advertisement can be broadcasted in the right markets more effectively. Evidenced by simulated experiments and analysis, compared with traditional region trigger advertising, sequential advertising and random advertising, our advertisement recommendation algorithm can effectively reach to the key target audiences in planned regions, while show excellent ability to differentiate markets in unplanned regions reaching to the target consumer groups as well.

关键词： Advertising Mobile communication Vehicles Decision support systems Mobile handsets Business Wireless communication

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Method of extracting weak signals from strong disturbance field in coal mineral well based on wavelet transform

Method of extracting weak signals from strong disturbance fi...

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2010 2nd IITA Conference on Geoscience and Remote Sensing, IITA-GRS 2010

作者： Yu, Sheng Chen Zhao, Zi Qiang Yu, Gui Xiang Jin, Xu Ling Chen, Yu Bin Zhou, Wen Hao Computer Science Department North China University of Science and Technology Beijing 101601 China Beijing Zhao Fang Investment Trust Co. Ltd. Beijing 100028 China Science College Beijing University of Civil Engineering and Architecture Beijing 100044 China Shanxi Luan Good-Environment Energy Co. Ltd. Shanxi Chanzhi 234000 China

ISBN: (纸本)9781424485154

Disturbance fields in the coal mineral well give a so serious problem on the work of general electric investigation that sometime process of observing useful signal cannot be finished. For extracting weak effective signals from strong disturbance field in coal mineral well, original measured signals are decomposed by wavelet transform and Mallet algorithm, and the weak effective signals are extracted successfully. Experimental results show that the approach method is feasible and efficient. © 2010 IEEE.

关键词： Wavelet transforms

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A new parallel scheduling system for multiple radio wireless mesh network

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中国高等学校学术文摘·计算机科学 2009年第4期3卷 550-559页

作者： Yun HU Shoubao YANG Qi ZHANG Dapeng WANG Qinwei SHEN Department of Computer Science University of Science and Technology of ChinaHefei 230026China Department of Computer Science University of Science and Technology of ChinaHefei 230026China Department of Computer Engineering Anhui University of ArchitectureHefei 230022China

To enhance the capacity of wireless mesh networks,a key technique is widely investigated which is the usage of multi-radio and multi-channel *** this paper,a new parallel scheduling system is proposed which exploits MAC diversities by transmitting packets on the radios *** with conventional packet transmission which follows 'one flow one radio',the new system uses radio diversity to transmit the packets on different radios *** kernel components of this system are selection module and schedule module.A localized selecting algorithm is implemented in the selection model to choose the right radios based on the quality of wireless links; two distributed packet-scheduling algorithms are optional with the schedule ***,a routing metric adapting this system is *** have carried out a comprehensive performance evaluation of this system using *** results show that it can successfully harness diversity of multi-radio and multi-channel to provide considerable improvements over a baseline multi-channel system in several situations.

关键词： wireless mesh network diversity parallel scheduling algorithm

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