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IEEE International Conference on Computer Science and Automation Engineering

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

ISBN: (纸本)9781424487257

In wireless communication, the cooperative communications technology has been concern because of its advantages of spatial diversity. In particular, cooperative communication with a single relay is a simple, practical technology for wireless sensor networks. In this paper, we analyze several simple network topologies. Under the condition of equal power allocating, the optimum relay locations are respectively determined by using symbol error rate (SER) formula. And these types of topologies are compared, the analysis results show that, Linear network topology has the best system performance, the system performance of isosceles triangle topology is better than that of equilateral triangle topology. © 2011 IEEE.

关键词： Cooperative communication

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Tissue P systems with cell separation: attacking the partition problem

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Science China(Information Sciences) 2011年第2期54卷 293-304页

作者： ZHANG XingYi1, WANG Shuo2, NIU YunYun2 & PAN LinQiang2 1key Lab of intelligent computing and signal processing of Ministry of Education, School of Computer Science and Technology, Anhui University, Hefei 230039, China 2Image processing and intelligent Control key laboratory of Education Ministry of China, Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei China Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan China

Tissue P systems are distributed parallel and non-deterministic computing models in the framework of membrane computing, which are inspired by intercellular communication and cooperation between neurons. Recently, cell separation is introduced into tissue P systems, which enables systems to generate an exponential workspace in a polynomial time. In this work, the computational power of tissue P systems with cell separation is investigated. Specifically, a uniform family of tissue P systems with cell separation is constructed for effciently solving a well-known NP-complete problem, the partition problem.

关键词： membrane computing tissue P system cell separation partition problem

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Design and implementation of multimedia control system based on bluetooth and electrooculogram (EOG)

Design and implementation of multimedia control system based...

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International Conference on Bioinformatics and Biomedical Engineering

作者： Li, Lian Wu, XiaoPei Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University HeFei China

ISBN: (纸本)9781424450893

Nowadays, the Human Computer Interaction (HCI) developments improve the research of EOG. In this paper, A new EOG-based HCI system for multimedia control is designed and implemented. A special headset named Mindset is used to detect the EOG pulses generated by blinking, and then transmit them wirelessly via Bluetooth to PC. Three modules are contained in the system, which are the wireless communication module, EOG recognition module and the multimedia control module, respectively. The system can be used as an assistant for the disable persons, also can be used for amusement among normal people. It is feasible to put the system into practical use due to its security and convenience. © 2011 IEEE.

关键词： Bluetooth

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A novel granular support vector machine based on mixed kernel function

International Journal of Digital Content Technology and its ...

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International Journal of Digital Content Technology and its Applications 2012年第20期6卷 484-492页

作者： Huang, Huajuan Ding, Shifei Jin, Fengxiang Yu, Junzhao Han, Youzhen School of Computer Science and Technology China University of Mining and Technology Xuzhou 221116 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Science Beijing 100080 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia Beijing University of Posts and Telecommunications Beijing 100876 China Geomatics College Shandong University of Science and Technology Qingdao 266510 China

The constaints of time and memory will reduce the learning performance of Support Vector Machine (SVM) when it is used to solve the large number of samples. In order to solve this problem, a novel algorithm called Granular Support Vector Machine based on Mixed Kernel Function (GSVM-MKF) is proposed. Firstly, the granular method is propsed and then the judgment and extraction methods of support vector particles are given. On the above basis, we propose a new granular support vector machine learning model. Secondly, in order to further improve the performance of the granular support vector machine learning model, a mixed kernel function which effectively uses the global kernel function having the good generalization ability and the local kernel function having good learning ability is proposed. Finally, the theoretical analysis and experimental results show the effectiveness of the method.

关键词： Support vector machines

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Twin support vector machines based on rough sets

International Journal of Digital Content Technology and its ...

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International Journal of Digital Content Technology and its Applications 2012年第20期6卷 493-500页

作者： Yu, Junzhao Ding, Shifei Jin, Fengxiang Huang, Huajuan Han, Youzhen School of Computer Science and Technology China University of Mining and Technology Xuzhou 221116 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Science Beijing 100190 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia Beijing University of Posts and Telecommunications Beijing 100876 China Geomatics College Shandong University of Science and Technology Qingdao 266510 China

TWSVM(Twin Support Vector Machines) is based on the idea of GEPSVM (Proximal SVM based on Generalized Eigenvalues), which determines two nonparallel planes by solving two related SVM-type problems, so that its computing cost in the training phase is 1/4 of standard SVM. In addition to keeping the superior characteristics of GEPSVM, the classification performance of TWSVM significantly outperforms that of GEPSVM. In order to further improve the speed and accuracy of TWSVM, this paper proposes the twin support vector machines based on rough sets. Firstly, using the rough sets theory to reduce the attributes, and then using TWSVM to train and predict the new datasets. The final experimental results and data analysis show that the proposed algorithm has higher accuracy and better efficiency compared with the traditional twin support vector machines.

关键词： Rough set theory

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A Mapping from TVPCCS into BPEL

A Mapping from TVPCCS into BPEL

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2012 IEEE 3rd International Conference on Software Engineering and Service Science(第三届IEEE软件工程与服务科学国际会议 ICSESS2010)

作者： Mohammed Lamine Beggar Liao Lejian Beijing Engineering Research Centre of High Volume Language Information Processing & Cloud Computing Applications Beijing Key Laboratory of Intelligent Information TechnologySchool of Computer ScienceBeijing Institute of Technology Beijing 100081China

The Web Services Business Process Execution Language (BPEL) is a language used to specify compositions of web services. In the last few years, a considerable amount of work has been done on modeling (parts of) BPEL and developing verification techniques and tools for BPEL. Petri nets and formal languages have been widely used to model Web services composition, but temporal value passing calculus of communicating systems (TVPCCS) language seems to be more adequate for several reasons. Generally BPEL programs are mapped to other languages and then the verification is performed, A more promising way is to directly build TVPCCS model, to check it and then map it to a BPEL process model. This paper describes a mapping from TVPCCS onto BPEL process model.

关键词： Web services BPEL TVPCCS process algebra

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A Mapping from TVPCCS into BPEL

A Mapping from TVPCCS into BPEL

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2012 IEEE 3rd International Conference on Software Engineering and Service Science（ICSESS 2012）

作者： Mohammed Lamine Beggar Beijing Engineering Research Centre of High Volume Language Information Processing & Cloud Computing Applications Beijing Key Laboratory of Intelligent Information TechnologySchool of Computer ScienceBeijing Institute of Technology Beijing 100081China

The Web Services Business Process Execution Language (BPEL) is a language used to specify compositions of web *** the last few years,a considerable amount of work has been done on modeling (parts of) BPEL and developing verification techniques and tools for *** nets and formal languages have been widely used to model Web services composition,but temporal value passing calculus of communicating systems (TVPCCS) language seems to be more adequate for several *** BPEL programs are mapped to other languages and then the verification is performed,A more promising way is to directly build TVPCCS model,to check it and then map it to a BPEL process *** paper describes a mapping from TVPCCS onto BPEL process model.

关键词： Web services,BPEL,TVPCCS,process algebra.

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Waves Field Prediction of Different Polarization Mode in Mine Tunnels Based on Modern Information Technology

Waves Field Prediction of Different Polarization Mode in Min...

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International Conference on Advances in Computer Science, Environment, Ecoinformatics, and Education

作者： Yao, ShanHua Wu, XianLiang Anhui University of Science and Technology Huainan China Key Laboratory of Intelligent Computing and Signal Processing Anhui University Hefei China

ISBN: (纸本)9783642233388

The propagation environment of electromagnetic waves in mine tunnels is confined areas. The mine tunnel is regard as wave-guide which contains kinds of un-beneficial medium, the field formulas of different polarization waves were presented based on Marcatili method, and field prediction of horizontal and vertical polarization waves were simulated. The results showed that propagation effect of vertical polarization waves was better than horizontal polarization wave in mine tunnels of breadth less than height, contrarily propagation attenuation of horizontal polarization waves were higher than vertical polarization waves in mine tunnels of height less than breadth, at the same time the field distribution would be influenced because of section dimension change.

关键词： electromagnetic wave propagation field prediction polarization mode mine tunnel

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Activity recognition based on semantic spatial relation

Activity recognition based on semantic spatial relation

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International Conference on Pattern Recognition

作者： Lingxun Meng Laiyun Qing Peng Yang Jun Miao Xilin Chen Dimitris N. Metaxas University of the Chinese Academy of Sciences Beijing Beijing CN Computer Science Department Rutgers University Piscataway NJ USA Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China

We propose an approach to recognize group activities which involve several persons based on modeling the interactions between human bodies. Benefitted from the recent progress in pose estimation [1], we model the activities as the interactions between the parts belong to the same person (intra-person) and those between the parts of different persons (inter-person). Then a unified, discriminative model which integrates both types of interactions is developed. The experiments on the UT-Interaction Dataset [2] show the promising results and demonstrate the power of the interacting models.

关键词： Joints Humans Semantics Testing Estimation Biological system modeling Image recognition

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STRUCTURED SPARSE LINEAR DISCRIMINANT ANALYSIS

STRUCTURED SPARSE LINEAR DISCRIMINANT ANALYSIS

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IEEE International Conference on Image processing

作者： Zhen Cui Shiguang Shan Haihong Zhang Shihong Lao Xilin Chen School of Computer Science and Technology Huaqiao University Xiamen China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China Omron Social Solutions Company Limited Kyoto Japan

Linear Discriminant Analysis (LDA) is an efficient image feature extraction technique by supervised dimensionality reduction. In this paper, we extend LDA to Structured Sparse LDA (SSLDA), where the projecting vectors are not only constrained to sparsity but also structured with a pre-specified set of shapes. While the sparse priors deal with small sample size problem, the proposed structure regularization can also encode higher-order information with better interpretability. We also propose a simple and efficient optimization algorithm to solve the proposed optimization problem. Experiments on face images show the benefits of the proposed structured sparse LDA on both classification accuracy and interpretability.

关键词： Face Face recognition Databases Linear discriminant analysis Optimization Training Algorithm design and analysis

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