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第四届国际自动化测试与仪器仪表学术会议

作者： Shi Yanpeng Wu Guoxin Zhu Chunmei Liaoning Provincial College of Communication Key Laboratory of Modern Measurement & Control Technology(Ministry of Education) Beijing Information Science &Technology University

A typical optical-mechanical integration instrument system integrity development based on multi-attribute comprehensive evaluation method is proposed in this *** multi-attribute comprehensive evaluation process is stipulated and the new evaluation system for optical-mechanical-electrical instrument is *** evaluation system includes numerous secondary indices based on seven primary evaluation *** realizes the comprehensive evaluation for the new system quality by index model which is made according to the multiple attribute features of the integrity development *** method can not only inspect the product quality,but also can rapidly and effectively perform a comprehensive evaluation for the instrument integrity development capacity and effect.

关键词： instrument integration development multi-attribute synthetic evaluation method thermal analyzer

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An efficient algorithm for time-driven data gathering in wireless sensor networks using inter-session network coding

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Journal of Convergence information technology 2012年第1期7卷 11-18页

作者： Xiao, Qian Zheng, Kangfeng Luo, Shoushan Yang, Yixian Zhang, Ling Information Security Center Beijing University of Posts and Telecommunications Beijing 100876 China National Engineering Laboratory for Disaster Backup and Recovery Beijing University of Posts and Telecommunications Beijing 100876 China Science and Technology on Communication Security Laboratory Chengdu 610041 China

Energy consumption and time delay, i.e., the amount of energy and time consumed by all the nodes for transmitting data, are two critical factors for estimating the efficiency of algorithms in wireless sensor networks. We focus on the application of time-driven data gathering, where all nodes act as sources at the same time to transmit data to an immobile sink node. We propose an efficient algorithm called DGNC for this scenario using inter-session network coding and opportunistic routing. Besides, we theoretically quantify the energy and time delay saving that our algorithm could offer in a rectangular grid network, and demonstrate the fact by simulation results in random networks, which DGNC could offer significant benefits in terms of both energy consumption and time delay in timedriven data gathering.

关键词： Energy utilization

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Detecting and adapting to drifting concepts

Detecting and adapting to drifting concepts

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Haixia Chen Shengxian Ma Kai Jiang Science and Technology on Electro-optical Information Security Control Laboratory Beijing China The 45th Research Institute of CETC Beijing China

The importance of incremental learning in changing environments has been acknowledged in recent years. In this paper we present an ensemble learning method for supervised learning with drifting concepts. The method employs hypothesis test as mechanism for detecting concept drift and learns a base classifier for each new training data chunk. Former classifiers deemed as usable by the hypothesis test mechanism and the new classifiers are integrated to form the final classifiers ensemble for prediction. The main focus of the work is to identify the usability of base classifiers that representing the same or similar concept with the current one, make full use of the older valid information together with the newer examples to improve classification accuracy, and avoid the interference of classifiers representing conflictive concepts with the current one. Experiments with simulated concept drift scenarios compared the proposed method with other approaches. The results showed that the method could consistently recognize different types of drift, adapt quickly to these changes to maintain its performance level, and utilize the former knowledge to improve its performance for recurring context.

关键词： Classification algorithms Accuracy Training Learning systems Error analysis Machine learning Data mining

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Classification of incomplete data using classifier ensembles

Classification of incomplete data using classifier ensembles

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International Conference on Systems and Informatics (ICSAI)

作者： Haixia Chen Yuping Du Kai Jiang Science and Technology on Electro-optical Information Security Control Laboratory Beijing China The 45th Research Institute of CETC Beijing China

This paper proposes a method for classification of incomplete data using neural network ensembles. In the method, the incomplete data set is analyzed and projected into a group of complete data subsets that give a full description of the known values in the data set by joining together. Those complete data subsets are then used as the training sets for the neural networks. Base classifiers are selected and integrated according to their classification accuracies and the support degrees of their training data sets to give the final predication. Compared with other methods dealing with missing data in classification, the proposed method can utilize all the information provided by the incomplete data, maintain maximum consistency of the incomplete data set and avoid the dependency on distribution or model assumptions. Experiments on two UCI datasets showed the superiority of the algorithm to other two typical treatments of missing data in ensemble learning.

关键词： Neural networks Classification algorithms Accuracy Data models Training data Machine learning Bagging

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Design of modified 6-18ghz balanced antipodal vivaldi antenna

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Progress In Electromagnetics Research C 2012年 25卷 271-285页

作者： Wang, P. Zhang, H. Wen, G. Sun, Y. Centre for RFIC and System Technology School of Communication and Information Engineering University of Electronic Science and Technology Chengdu 611731 China Science and Technology on Electronic Information Control Laboratory Chengdu 610036 China College of Electronic and Information Engineering Chongqing Three Gorges University Chongqing 404000 China

In this paper, a modified planar balanced Vivaldi antenna with endfire characteristics near the metal surface is proposed for 6-18 GHz applications. The proposed antenna structure consists of three copper layers, among which two external layers locate on the two outsides of two dielectric substrates, and the central layer is sandwiched by these two dielectric substrates. To further enhance the end-fire radiation characteristic, a number of novel techniques are proposed, including elongation and shaping of the supporting substrate of a conventional balanced antipodal Vivaldi antenna beyond its aperture, using an I-shaped slot loaded radiation patch and cutting a triangle on the edge of three copper layers. Measured and simulated results show that the proposed antenna not only exhibits good impedance bandwidth, but also improves the end-fire performance in the operational frequency of 6-10 GHz and achieves high gain in the end-fire direction, low cross-polarization and high front-to-back (F-to-B) ratio.

关键词： Slot antennas

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Blind recognition of space-time block code using correlation matrices in a high dimensional feature space

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Journal of information and Computational science 2012年第6期9卷 1469-1476页

作者： Luo, Minggang Gan, Lu Li, Liping School of Electronic Engineering University of Electronics Science and Technology of China Chengdu 610054 China National Key Laboratory of Information Control Technology for Communication System Jiaxing Zhejiang 314033 China

In modern wireless communication systems, one of the most promising techniques to improve the communication reliability and rate relies on the use of Multiple Input Multiple Output (MIMO) systems in association with Space-time Block Code (STBC). The recognition of communication parameters is a key step to decode the signals intercepted by receiver in a MIMO-STBC system. A new algorithm is developed to identify STBCs by adopting the Frobenius norms of space-time correlations matrices as features in a high dimensional space when the Channel State information (CSI) is unavailable. In this high dimensional feature space, STBCs possess better divisibility than the methods in literature. A classifier based on Support Vector Machine (SVM) is trained to recognize STBCs. Simulations show that our classifier works well in the environments of short samples, limited number of receiver antennas and various modulations;the new method can recognize some STBCs which can not be distinguished by the algorithms in literatures;our method has better performance of correct recognition probability than these algorithms. © 2012 by Binary information Press.

关键词： Channel state information

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Leader-follower synchronization for complex dynamical networks via sampled-data control

Leader-follower synchronization for complex dynamical networ...

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31st Chinese control Conference, CCC 2012

作者： Wangli, He Feng, Qian Han, Qing-Long Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China Centre for Intelligent and Networked Systems Central Queensland University Rockhampton QLD 4702 Australia School of Information and Communication Technology Central Queensland University Rockhampton QLD 4702 Australia

ISBN: (纸本)9789881563811

This paper is concerned with leader-follower synchronization of complex dynamical networks with sampled-data control. By sampling the signal from the leader at some discrete time instants and using a zero-order hold function, synchronization is achieved between the network and a desired orbit, known as the leader. By applying Lyapunov functional approach and the property of the network topology matrix, a delay-dependent criterion is derived. It is shown that synchronization of N coupled dynamical systems with a leader can be recast into the stability of N decoupled systems, in which eigenvalues of the network topology matrix are involved. Finally, a chaotic neural network is used to illustrate the effectiveness of the proposed method. © 2012 Chinese Assoc of Automati.

关键词： Synchronization

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Coherent integration weak target detection algorithm based on short time sliding window

Coherent integration weak target detection algorithm based o...

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World Congress on Intelligent control and Automation (WCICA)

作者： Yun-fei Guo Yun-long Zhang An-ke Xue Institute of Information and Control Key Laboratory of Fundamental Science for National Defense-Communication Information Transmission and Fusion Technology Hangzhou Dianzi University Zhejiang Province China

For the problem of weak target detection under lower signal noise ratio in radar detection system, a key technique is to enhance target echo energy by long time coherent integration. During the integration period, the target echo may occur range migration with integration time increasing. Direct coherent integration will lead to echo energy spread and deteriorate integration effect. A coherent integration algorithm based on short time sliding window is proposed in this paper. Radar signal is formed into a first in first out queue. The queen is continually renewed by the sliding window. The produced queens are coherent integrated at last. Simulation result shows that the proposed algorithm can prevent range migration efficiently and improve coherent integration capability.

关键词： Signal to noise ratio Signal processing algorithms Object detection Educational institutions Radar cross section Doppler effect

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Topology modeling and analysis of emergency communications network

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Tongxin Xuebao/Journal on communications 2012年第SUPPL.1期33卷 200-209页

作者： Wang, Wei Zhao, Wen-Hong Science and Technology on Communication Information Security Control Laboratory Jiaxing 314033 China Jiangnan Electronic Communication Institute Jiaxing 314033 China

The construction method, throughput and related properties about the topology model of emergency communication networks were discussed. Firstly, the topology modeling method was presented by three steps, such as the constructions of backbone network, access network and station network. Then, the capacity of network model was analyzed in conditions of arbitrary networks and random networks. At last, some topology properties were discussed, including the shortest path, node degree, rich club, betweenness centrality, current flow centrality, eccentricity and closeness vitality. The experiment re-sults show that the proposed modeling method is steady and applicable to the emergency communication.

关键词： Topology

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Recovering geometric detail by octree normal maps

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2012年 7145 LNCS卷 62-73页

作者： Fan, Wenshan Wang, Bin Chan, Bin Paul, Jean-Claude Sun, Jiaguang School of Software Tsinghua University China Beijing Aerospace Control Center China Department of Computer Science and Technology Tsinghua University China Key Laboratory for Information System Security Ministry of Education China Tsinghua National Laboratory for Information Science and Technology China University of Hong Kong Hong Kong INRIA France

ISBN: (纸本)9783642290497

This paper presents a new approach for constructing normal maps that capture high-frequency geometric detail from dense models of arbitrary topology and are applied to the simplified version of the same models generated by any simplification method to mimic the same level of detail. A variant of loose octree scheme is used to optimally calculate the mesh normals. A B-spline surface fitting based method is employed to solve the issue of thin plate. A memory saving Breadth-First Search (BFS) order construction is designed. Furthermore, a speedup scheme that exploits access coherence is used to accelerate filtering operation. The proposed method can synthesize good quality images of models with extremely high number of polygons while using much less memory and render at much higher frame rate. © 2012 Springer-Verlag Berlin Heidelberg.

关键词： Graphics processing unit

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