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IET International Communication Conference on Wireless Mobile and computing, CCWMC 2011

作者： Ding, Yan Zhu, Jun Fang, Wei-Dong Ge, Xiao-Guang Chen, Xiang Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University No.3 Feixi Rd Hefei Anhui 230039 China Shanghai Research Center for Wireless Communications Information Building 1 lane 280 Linhong Rd China Shanghai University No. 149 Yanchang Rd Shanghai 200072 China

ISBN: (纸本)9781849195058

To meet the increasing capacity and mobility as well as decrease the costs in next-generation optical access networks, RoF technology is a promising technique in the emerging optical and wireless convergence network, mm-wave generation is a key technique to realize the convergence network. In this paper, existing optical mm-wave generation technologies are introduced, including direct modulation, optical heterodyning and external modulation. Associated with Shanghai University, a scheme based on Optical Frequency Multiplication employing a dual drive Mach-Zehnder Modulator (DD-MZM) is presented. The novel efficient technique does not require expensive high-frequency electrical equipment. Moreover, no optical filtering is used, which significantly reduces the cost.

关键词： Millimeter waves

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A novel description of the reproducing kernel support vector machines

A novel description of the reproducing kernel support vector...

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IEEE International Conference on Computer Science and Automation Engineering (CSAE)

作者： Li-xiang Xu Bin Luo Feng-hai Yu Jin Xie Department of Mathematics & Physics Hefei University Hefei China Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Anhui China

Support vector machines (SVMs) and related kernel-based algorithms have become one of the most popular approaches for many machine learning problems. but little is known about the structure of their reproducing kernel Hilbert spaces (RKHS). In this work, based on Mercer's Theorem, the relation among reproducing kernel (RK) and Mercer kernel, and their roles in SVMs are discussed, corresponding to some important theorems and consequences are given. Furthermore, a novel framework of reproducing kernel support vector machines (RKSVM) is proposed. The simulation results are presented to illustrate the feasibility of the proposed method. Choosing a proper Mercer kernel for different tasks is an important factor for studying the result of the SVMs.

关键词： Kernel Support vector machines Hilbert space Equations Mathematical model Resonant frequency Simulation

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MST based stream data clustering algorithm

International Journal of Digital Content Technology and its ...

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International Journal of Digital Content Technology and its Applications 2011年第9期5卷 352-360页

作者： Cheng, Zheng Xiaodong, Zhu Jingcheng, Li Key Laboratory of Intelligent Computing and Signal Processing of the Ministry of Education Anhui University China School of Computer Science and Technology Anhui University China Institute of Information Management and Electronic Business University of Shanghai for Science and Technology China

How to make use of limited memory space and processing speeds of computer for rapid and accurate data mining has become an important research topic on the stream data cluster analysis. A stream data clustering algorithm based on the minimum spanning tree (MSTSC) is described. MSTSC is divided into online processing and offline clustering. Stream data are analyzed online by using two groups of processing unit respectively. In offline process clusters is taken as representative objects, and the minimum spanning tree algorithm is used in offline clustering. MSTSC can improve the clustering quality on non-spherical clusters. Some experiments are carried out in both real data sets and synthetic data sets. Results show that MSTSC algorithm not only can deal with non-spherical clusters effectively, but also has better efficiency and clustering quality. In addition, MSTSC is insensitive to order of input data, and has a good effect for skewed class distributions.

关键词： Cluster analysis

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An Effective Method to Solve the Induced Surface Current for Arbitrary Conducting Objects at Resonant Frequencies

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电子学报(英文版) 2010年第1期19卷 66-68页

作者： SONG Kaihong WU Xianliang Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

A novel scheme is developed to compute correctly the induced current based on the Electric field integral equation (EFIE) by the Method of moments (MOM) at resonant frequencies. As a First step, the inaccurate induced current is obtained by solving the EFIE. Then, the scattered magnetic field due to the inaccurate induced current is calculated at any given point on the surface of the object. Finally, the accurate induced current at any given point is determined through the total magnetic field. The proposed approach is applied to the case of the infinitely Perfectly electric conducting (PEC) cylinder and PEC sphere to check its accuracy and efficiency. It is found that the numerical results match the analytical solution or the Combined field integral equation (CFIE) solution.

关键词：感应电流共振频率导体目标表面诱导电场积分方程数值结果总磁场

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Stereoscopic learning for disparity estimation

Stereoscopic learning for disparity estimation

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Zhebin Zhang Yizhou Wang Tingting Jiang Wen Gao National Engineering Laboratory for Video Technology Peking University Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China Key Laboratory of Machine Perception (MoE) School of EECS Peking University Beijing China Peking University Beijing Beijing CN

In this paper, we propose a learning based approach to estimating pixel disparities from the motion information extracted out of input monoscopic video sequences. We represent each video frame with superpixels, and extract the motion features from the superpixels and the frame boundary. These motion features account for the motion pattern of the superpixel as well as camera motion. In the learning phase, given a pair of stereoscopic video sequences, we employ a state-of-the-art stereo matching method to compute the disparity map of each frame as ground truth. Then a multi-label SVM is trained from the estimated disparities and the corresponding motion features. In the testing phase, we use the learned SVM to predict the disparity for each superpixel in a monoscopic video sequence. Experiment results show that the proposed method achieves low error rate in disparity estimation.

关键词： Pixel Three dimensional displays Cameras Feature extraction Histograms Support vector machines Optical imaging

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Study of millimetre-wave generation based on optical frequency multiplication

Study of millimetre-wave generation based on optical frequen...

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IET International Communication Conference on Wireless Mobile and computing (CCWMC 2011)

作者： Yan Ding Jun Zhu Wei-Dong Fang Xiao-Guang Ge Xiang Chen Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei Anhui China Shanghai Research Centre for Wireless Communications China School of Communication and Information Engineering Key Laboratory of Specialty Fiber Optics and Optical Access Net works Shanghai University Shanghai China

ISBN: (纸本)9781618399571

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Logarithmic backoff algorithm of MAC protocol in Ad Hoc networks

Logarithmic backoff algorithm of MAC protocol in Ad Hoc netw...

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International Conference on E-Business and E-Government (ICEE)

作者： Fang, Hong-Yu Xu, Lei Li, Xiao-Hui Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (纸本)9780769539973

A new backoff algorithm based on logarithmic function is presented by introducing the parameter which can change with the network state, in allusion to the problems of Binary Exponential Backoff algorithm of IEEE 802.11 MAC. This algorithm dynamic changes the initial value of collision window and the increasing extent of backoff by using the logarithmic function which takes the numbers of network nodes as variable and reduces the probability of collision of data transmission. The results of simulation show that the backoff algorithm based on logarithmic function has obvious effects in improving the capability of throughput and fairness of Ad Hoc network, reducing network delay and the ratio of packet loss. © 2010 IEEE.

关键词： Ad hoc networks

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A design of wireless temperature and humidity monitoring system

A design of wireless temperature and humidity monitoring sys...

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2010 IEEE 12th International Conference on Communication Technology, ICCT'2010

作者： Xu, Lei Zhang, Hong-Wei Li, Xiao-Hui Wu, Xian-Liang Key Laboratory of Intelligent Computing and Signal Processing Anhui University Ministry of Education Hefei China

ISBN: (纸本)9781424468690

The existing data sampling schemes can not update ROM serial numbers of DS18B20 automatically and locate DS18B20s accurately. For these reasons above, it is difficult to replace the faulty DS18B20s immediately. To solve this problem, both I/O (Input/Output) ports number of MCU (Micro Controller Unit) and the value of temperature alarm trigger registers (TH and TL) are used to determine the storage address of ROM serial numbers in 24LC256, and are also used to adopted as the physical address of DS18B20. Consequently, automatic updating of ROM (Read Only Memory) serial numbers and exactly locating of the temperature data can be completed. Meanwhile, to reduce the cost and avoid complex network cabling in wired network, a distributed wireless tempreature and humidity monitoring system based on MCU and wireless networking is proposed. © 2010 IEEE.

关键词： Complex networks

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Depth recovery from defocus images using total variation

Depth recovery from defocus images using total variation

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2010 International Conference on Computer Modeling and Simulation, ICCMS 2010

作者： Liu, Hong Jia, Yu Cheng, Hong Wei, Sui Education Ministry Key Laboratory of Intelligent Computing and Signal Processing Anhui University Hefei China

ISBN: (纸本)9780769539416

According to defocus imaging theory, the amount of blur in the defocus images varies with depth of the object in the scene. So depth in the scene can be recovered by estimating the blur with the knowledge of the lens parameters. A novel application of the total variation principle is made for the estimation of the amount of blur in the defocus images. Three main processes are included: the process of image defocusing is modeled using the model of anisotropic heat diffusion, then the depth recovery problem is translated into the minimum problem of energy functional with total variation regularization, and the gradient flow is used to seek the optimal solution. The recovery of focus image and the excess restrictions are avoided. The experiment results show that the algorithm is quite effective and depth information in edge is well retained particularly. Compared with the least square algorithm, depth recovery error with the total variation algorithm is reduced about 40%. © 2010 IEEE.

关键词： Recovery

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Inferring protein-protein interactions from sequence using sequence order information

Inferring protein-protein interactions from sequence using s...

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International Conference on Computer Science and Education

作者： Du, Xiuquan Cheng, Jiaxing Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (纸本)9781424460052

Identification of protein-protein interaction is crucial for nearly all biological process. In this paper, we introduce a new transformation of protein sequence based on sequence order information. We use 5594 interacting pairs of yeast organism from DIP core database as training data set, seven types organism as independent data set. The model with a new protein coding scheme obtains 88.927% accuracy, 88.243% sensitivity, 89.468% specificity, 77.864% MCC. The average performance on independent data set is 79.4999%. ©2010 IEEE.

关键词： Proteins

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