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International Conference on Advanced Computer Theory and Engineering

作者： Zhong, Hong Huang, Hongsheng Shi, Runhua Key Laboratory of Intelligent Computing and Signal Processing Anhui University Ministry of Education Hefei Anhui 230039 China School of Computer Science and Technology Anhui University Hefei Anhui 230039 China

ISBN: (纸本)9781424465408

Secure Multi-party Computation (SMC) plays an important role in information security under the circumstance of cooperation calculation, so SMC on privacy-preservation is of great interest. In this paper we discuss an issue which is a special SMC problem. Based on Scalar Product Protocol, Monte Carlo Method and Oblivious Transfer, we give two solutions to the problem about how to decide the areas. That is, a polygon is divided into two parts by a line: SI and S2. Furthermore, we analyze the security and computational complexity, as well as the comparison of these two protocols. The results of analysis show that the proposed protocols are secure and efficient. We believe the two protocols will be useful in other geometric and combinatorial problems. © 2010 IEEE.

关键词： Computational geometry

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Improved particle swarm algorithm for portfolio optimization problem

Improved particle swarm algorithm for portfolio optimization...

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2010 2nd International Conference on Industrial Mechatronics and Automation, ICIMA 2010

作者： Cao, Jianguo Tao, Liang Department of Computer Science Anhui Vocational and Technical College of Industry and Trade Huainan 232007 China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 China

ISBN: (纸本)9781424476541

Particle swarm optimization (PSO) is a recently proposed population-based random search algorithm, which performs well in some optimization problems. In this paper, we proposed an improved PSO algorithm to solve portfolio selection problems. The proposed approach IPSO employs an opposite mutation operator to enhance the performance of the standard PSO. In order to verify the performance of IPSO, we test it on five well-known benchmark function optimization problems. At last, we use IPSO to solve a classical portfolio selection problem. The results show that the proposed approach is effective and achieves better results than standard PSO. ©2010 IEEE.

关键词： Particle swarm optimization (PSO)

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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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International Conference on Communication Technology (ICCT)

作者： Lei Xu Hong-wei Zhang Xiao-hui Li Xian-liang Wu The Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

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 temperature and humidity monitoring system based on MCU and wireless networking is proposed.

关键词： Read only memory Mobile communication Biomedical monitoring Monitoring Switches Computers Servers

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Ontology mapping based on structures and instances

Ontology mapping based on structures and instances

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International Conference on Machine Learning and Cybernetics

作者： Zheng, Cheng Shen, Ya-Ping Mei, Lin Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University China School of Computer Science Anhui University Hefei 230039 China School of Adult Education Anhui Agricultural University Hefei 230036 China

ISBN: (纸本)9781424465262

Ontology mapping is to find the mapping relationship between different ontology to reuse and share ontology. In this paper we present a multi-strategy ontology mapping technique based on the structure and instance. When the similarity between the mapping pairs is approximating to the threshold, context structures are used to judge their similarity. The key of the instance mapping is calculating the instance similarity. Firstly the instance is preprocessed. Then set similarity and probability similarity based on Bayesian theory is calculated respectively. Finally instance similarity is calculated by the set similarity and probability similarity comprehensively. Experimental results show its effectiveness. © 2010 IEEE.

关键词： Ontology

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Depth Recovery from Defocus Images Using Total Variation

Depth Recovery from Defocus Images Using Total Variation

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International Conference on Computer Modeling and Simulation, ICCMS

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

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%.

关键词： Layout Lenses Focusing signal processing algorithms Least squares approximation Anisotropic magnetoresistance Heat recovery Polynomials Robot vision systems Cameras

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Efficient multi-resolution detection of binary object

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Information Technology Journal 2010年第8期9卷 1641-1646页

作者： Fang, Xianyong Wu, Hao MOE Key Laboratory of Intelligent Computing and Signal Processing School of Computer Science and Technology Anhui University Anhui 230039 China

This study presents an efficient multi-resolution method to detect binary object directly. Both intensity and geometry differences are used to measure the similarity between the source object template and target objects inside the test image. Especially for the geometrical difference, the histogram of oriented gradients is proposed to measure the similarity of the edge images between the source object template and the target object. Based on these two measurements, a multi-resolution strategy is used to accurately locate the object position in a coarse-to-fine way, where intensity difference and geometry difference applied consequently in each layer. Experimental results demonstrate the efficiency of the proposed method. © 2010 Asian Network for Scientific Information.

关键词： Geometry

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2010 IEEE 5th International Conference on Bio-Inspired computing: Theories and Applications, BIC-TA 2010

作者： Zhang, Zhujin Wang, Shuo Zhang, Xingyi Zhang, Zheng Department of Control Science and Engineering Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China School of Computer and Information Science University of South Australia Adelaide SA 5095 Australia Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei 230039 China

ISBN: (纸本)9781424464388

Randí et al. proposed a significant graphical representation for DNA sequences, which is very compact and avoids loss of information. In this paper, we build a fast algorithm for this graphical representation with time complexity O(n2), and find another important advantage in the representation: no degeneracy. Moreover, we propose a new method to do similarity analysis of DNA sequences based on the representation. The approach adopts four elements of covariance matrix as a descriptor, and is illustrated on the first exon of beta-globin genes from 11 different species. © 2010 IEEE.

关键词： DNA sequences

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Motor Imagery EEG Classification based on Dynamic ICA Mixing Matrix

Motor Imagery EEG Classification based on Dynamic ICA Mixing...

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The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

作者： Xiaojing Guo Xiaopei Wu The Key Laboratory of Intelligent Computing & Signal Processing of MOE Anhui University Hefei city Anhui province China

Recently the mu rhythm by motor imagination has been used as a reliable EEG pattern for brain-computer interface (BCI) system. To motor-imagery-based BCI, feature extraction and classification are two critical stages. This paper explores a dynamic ICA base on sliding window Infomax algorithm to analyze motor imagery EEG. The method can get a dynamic mixing matrix with the new data inputting, which is unlike the static mixing matrix in traditional ICA algorithm. And by using the feature patterns based on total energy of dynamic mixing matrix coefficients in a certain time window, the classification accuracy without training can be achieved beyond 85% for BCI competition 2003 data set Ⅲ. The results demonstrate that the method can be used for the extraction and classification of motor imagery EEG. In the present study, it suggests that the proposed algorithm may provide a valuable alternative to study motor imagery EEG for BCI applications.

关键词： Electroencephalography Independent component analysis signal processing algorithms Brain computer interfaces Computer interfaces Rhythm Laboratories signal processing Cities and towns Feature extraction

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Locating Human Eyes in Face Images Based on Illumination Normalization and Progressive Thresholding

Locating Human Eyes in Face Images Based on Illumination Nor...

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The 5th International Conference on Computer Science & Education(第五届国际计算机新技术与教育学术研讨会 ICCSE'10)

作者： Hua-bin Wang Liang Tao Xue-you Hu Shi-yi Wang Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University HefeiAnhui230039China

Based on illumination normalization and progressive thresholding, this paper presents a novel algorithm for automatic localization of human eyes in still images with complex background. First of all, Retinex method is used to realize normalizing of the face image. Secondly, a determination criterion of eye location is established by the priori knowledge of geometrical facial features. Thirdly, a range of threshold values that would separate eye blocks from others in a segmented face image is estimated. With the progressive increase of the threshold by an appropriate step in that range, once two eye blocks appear from the segmented image, they will be detected by the determination criterion of eye location. Finally, the 2-D correlation coefficient is used as a symmetry similarity measure to check the factuality of the two detected eyes. The experimental results demonstrate the high efficiency of the algorithm in runtime and correct localization rate.

关键词： detecting and locating human eyes:image segmentation:skin color segmentation:face recognition

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Mobility robustness optimization based on UE mobility for LTE system

Mobility robustness optimization based on UE mobility for LT...

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International Conference on Wireless Communications and signal processing (WCSP)

作者： Zhenzhen Wei Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University of Science and Technology Hefei China

Self-organizing networks (SON) for cellular systems are emerging as an important technology to reduce the cost of network deployment and maintenances. Mobility robustness optimization (MRO) is one of the main use cases of SON and has been intensively studied in 3GPP working groups. In this paper, we take the user equipment (UE) speed into account to solve the MRO problem. We propose a US-MRO algorithm, which assigns different Hysteresis parameters to UEs with different speed. The simulation results show that the success rate of Handover (HO) is improved and user experience is enhanced by the US-MRO algorithm.

关键词： Algorithm design and analysis Optimization Hysteresis Wireless communication Analytical models Robustness Simulation

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