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International Conference on Signal Processing, Communication and Networking (ICSCN)

作者： Suraiya Tarannum Divya Prakash Sneha Susan George B V Tara S Ushe L Nalini K R Venugopal L M Patnaik Department of Computer Science and Engineering University Visvesvaraya College of Engineering Bangalore University Bangalore India Department of Computer Science and Engineering Bangalore University Bangalore Microprocessor Applications Laboratory Indian Institute of Science Bangalore India

Research in wireless sensor networks has become an extensive explorative area during the last few years. In this paper we emphasize the need for repositioning of the consolidating and advancing node, (CAN : Principal Node) to improve network lifetime in terms of energy and other QoS parameters such as latency and throughput. We also address issues related to its repositioning such as the time and position of relocation and the control of its movement without causing negative impact on the performance of the WSN. Mobility factor is exploited to support QoS requirements. We present a scheme called energy conserving relocation (ECR) to pursue relocation of CAN to a safe location on demand. ECR performs relocation based on the minimum energy concept of sensor nodes. The concept of repositioning adds a new dimension to the existing heterogeneous wireless sensor network. It is observed through simulation that lifetime of the network, average energy consumption and QoS parameters are much better when compared to earlier algorithms.

关键词： Wireless sensor networks Quality of service Batteries computer networks Technology management Energy consumption Condition monitoring Signal processing computer network management Conference management

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Routing in Large-Scale Buses Ad Hoc Networks

Routing in Large-Scale Buses Ad Hoc Networks

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IEEE Conference on Wireless Communications and Networking

作者： Michel Sede Xu Li Da Li Min-You Wu Minglu Li Wei Shu Laboratory for Computer Communications and Applications EPF Lausanne Switzerland Department of Computer Science and Engineering Shanghai Jiaotong University China Department of Electrical and Computer Engineering University of New Mexico USA

A disruption-tolerant network (DTN) attempts to route packets between nodes that are temporarily connected. Difficulty in such networks is that nodes have no information about the network status and contact opportunities. The situation is different in public bus networks because the movement of buses exhibits some regularity so that routing in a deterministic way is possible. Many algorithms use a contacts oracle that provides the exact meeting times and durations between all nodes. However, in a real vehicular environment, an oracle is not always accurate, and deterministic routing gives poor results. In this paper, we present BLER, a routing algorithm that achieves effective routing in a buses environment. BLER, compared to other algorithms, performs routing at bus line level instead of bus level; it uses specific bus lines information to achieve good performances. We evaluate BLER on real traces of the bus network of Shanghai, and compare it to other routing algorithms. Performances provide good results for this kind of DTNs.

关键词： Routing Large-scale systems Ad hoc networks Disruption tolerant networking Peer to peer computing Communications Society Application software Cities and towns Laboratories computer applications

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Robust image adaptive steganography using integer wavelets

Robust image adaptive steganography using integer wavelets

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International Conference on Communication Systems Software and Middleware (COMSWARE)

作者： K. B. Raja S. Sindhu T. D. Mahalakshmi S. Akshatha B. K. Nithin M. Sarvajith K. R. Venugopal L. M. Patnaik Department of Computer Science and Engineering Bangalore University Bangalore India Microprocessor Applications Laboratory Indian Institute of Science Bangalore India

Information-theoretic analysis for parallel Gaussian models of Images prescribe embedding the secret data in low and mid frequency regions of image which have large energies. In this paper, we propose a novel steganographic scheme called robust image adaptive steganography using integer wavelet transform(RIASIWT), which is a practical realization of these prescriptions. Using this scheme we can hide large volumes of data without causing any perceptual degradation of the cover image. The scheme embeds the payload in every non-overlapping 4times4 blocks of the low frequency band of cover image, two pixels at a time, one on either sides of the principal diagonal. Tests for the similarity between the condition number of the cover image and the stego image are done for further embedding. We also perform cover image adjustment before embedding the payload in order to ensure lossless recovery. Embedding done in the low frequency bands ensures robustness against attacks such as compression and filtering. Experimental results show better trade off between Visual perceptivity and capacity compared to the existing algorithms.

关键词： Robustness Steganography Frequency Payloads Image analysis Information analysis Degradation Pixel Testing Image coding

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Highly Conductive Films of Layered Ternary Transition‐Metal Nitrides†

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Angewandte Chemie 2009年第8期121卷

作者： Hongmei Luo Haiyan Wang Zhengxing Bi Guifu Zou T. Mark McCleskey Anthony K. Burrell Eve Bauer Marilyn E. Hawley Yongqiang Wang Quanxi Jia Materials Physics and Applications Division Los Alamos National Laboratory Los Alamos NM 87545 (USA) Fax: (+1) 505‐665‐3164 Department of Chemical Engineering New Mexico State University Las Cruces NM 88003 (USA) Department of Electrical and Computer Engineering Texas A&M University College Station TX 77843 (USA) Materials Science and Technology Division Los Alamos National Laboratory Los Alamos NM 87545 (USA)

Epitaktische Filme aus BaZrN 2 (siehe TEM‐Bild) und BaHfN 2 wurden durch polymerunterstützte Abscheidung auf SrTiO 3 (STO)‐Substraten gezüchtet. Die Filme sind phasenrein, wodurch sich die intrinsischen physikalischen Eigenschaften der ternären Nitride untersuchen lassen. Zwischen 5 und 300 K zeigen die Filme ein metallartiges Widerstands‐Temperatur‐Verhalten bei hohen Restwiderstandsverhältnissen.

关键词： Abscheidetechniken Dünne Filme Nitride Supraleiter

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An Efficient Probability-Based t out of n Secret Image Sharing Scheme

An Efficient Probability-Based t out of n Secret Image Shari...

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International Conference on Future Generation Communication and Networking Symposia, FGCNS

作者： Chi-Chen Chang Yu-Zheng Wang Chi-Shiang Chan Department of Information Engineering and Computer Science Feng Chia University FCU Taichung Taiwan Department of Computer Science and Information Engineering National Chung Cheng University Chiayi Taiwan Department of Information Science and Applications Asia University Wufeng Taiwan

Noar and Shamir presented the concept of visual cryptography. Many researches following it go down the same track: to expand the secret pixels to blocks. As a result, the size of the secret image becomes larger, and the quality of the expanded secret image becomes worse. In order to prevent the pixels from expanding, Yang has proposed his probability-based visual secret sharing scheme, where the concept of probability is employed to pick out pixels from the black or white sets. In this paper, we shall propose a new scheme that is a modified version of Yangpsilas scheme. Our experimental results show that we can obtain better recovered image quality with high contrast.

关键词： Cryptography Cellular phones Electronic mail computer science Image quality Stacking Personal digital assistants Conferences Information science Application software

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Stability and L2-Gain Analysis for Switched Neutral Systems

Stability and L2-Gain Analysis for Switched Neutral Systems

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International Conference on Apperceiving Computing and Intelligence Analysis, ICACIA

作者： Du-Yu Liu Shou-Ming Zhong Yuan-Qing Huang School of Applied Mathematics University of Electronic Science and Technology of China Chengdu China Department Computer Science and Applications Sichuan University of Science and Engineering Zigong China

This paper considers the stability and L 2 -gain for a class of switched neutral systems. Sufficient conditions for exponential stability criteria and L 2 -gain are developed for arbitrary switching signal with averag... 详细信息

关键词： Stability analysis Switched systems Symmetric matrices Stability criteria Lyapunov method Delay effects Control systems Eigenvalues and eigenfunctions Mathematics computer science

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Research on Face Recognition Method based on Cognitive Mechanism

Research on Face Recognition Method based on Cognitive Mecha...

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International Conference on Apperceiving Computing and Intelligence Analysis, ICACIA

作者： Jia Cui Jian-Ping Li Yu-Jie Hao Department of Computer Science and Engineering University of Electronic Science and Technology Chengdu China International Centre for Wavelet Analysis and Its Applications Logistical Engineering University Chongqing China

A face recognition method similar to human cognitive mechanism has been proposed. Motivated by the continuity rule of a same class samples, face recognition can be regarded as face pattern cognition. Compared with traditional statistical pattern based face recognition, it has a kind of relationship with human's cognitive mechanism. When face coverage of different people overlap, a person's face distribution in low dimension space has a certain kind of cohesion. With the increase of space dimension, the cohesion of a same class samples decreases, meanwhile the repellency of different class samples increases. However, with further increasing of dimension, both the cohesion of a same class and the repellency of different class decrease. The coverage of candidate face recognition is processed in a certain space. If it belongs to several candidate face coverage, Fisher LDA method can be applied to obtain the final results. Experiments based on ORL have proved that untrained random objects can be recognized perfectly.

关键词： Face recognition Humans Face detection Cognition Linear discriminant analysis Neural networks Pattern recognition computer science Wavelet analysis Application software

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Study on Multi-Biometric Feature Fusion and Recognition Model

Study on Multi-Biometric Feature Fusion and Recognition Mode...

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International Conference on Apperceiving Computing and Intelligence Analysis, ICACIA

作者： Jia Cui Jian-Ping Li Xiao-Jun Lu Department of Computer Science and Engineering University of Electronic Science and Technology Chengdu China Intemational Centre for Wavelet Analysis and Its Applications Logistical Engineering University Chongqing China

The single biometric identification technology has the inherent and difficult overcoming shortcomings, so multi-modal biometric fusion and identification techniques were proposed to improve the performance and accurate rate of identification system. This paper proposed a model combined with 2-dimensional Fisher linear discriminant analysis for face and iris feature fusion and recognition. First face and iris images are compressed respectively to preprocess the images, and the two corresponding original feature matrixes are obtained. Then the two original feature matrixes are integrated into one matrix, and formed a combined feature matrix. Third 2DFLD is applied to feature extraction to the combined feature matrix, so a fused feature matrix is constructed. At last, nearest neighbor decision rule is applied in the process of recognition. Experiment results show the recognition rate is greatly improved.

关键词： Biometrics Iris Linear discriminant analysis Face recognition Image coding Feature extraction Logic Character recognition Data mining computer science

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A Method of Security Evaluation based on Fuzzy Mathematics

A Method of Security Evaluation based on Fuzzy Mathematics

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International Conference on Apperceiving Computing and Intelligence Analysis, ICACIA

作者： Guo-Ming Lu Zhi-Hong Chen Xue-Zhi He Jian-Ping Li Department of computer science and engineering University of Electronic Science and Technology Chengdu China International Centre for Wavelet Analysis and Its Applications Logistical Engineering University Chongqing China

In order to effectively evaluate the system security, a quantitative information security evaluation method which combine analytic hierarchy process (AHP) and fuzzy comprehensive evaluation were proposed. Firstly, referring to Common Criteria (CC), we established security evaluation hierarchy model. Then, the analytic hierarchy process (AHP) method was used to calculate the security factors' weights to the evaluated system. In the end, fuzzy comprehensive evaluation method was applied to calculate the final quantitative security level. The effectiveness of this method is validated by evaluation of a practical system.

关键词： Mathematics Information security Data security Information analysis Protection computer security Fuzzy systems Information technology Cryptography Resource management

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SVM ranking with backward search for feature selection in type II diabetes databases

SVM ranking with backward search for feature selection in ty...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Sarojini Balakrishnan Ramaraj Narayanaswamy Nickolas Savarimuthu Rita Samikannu Department of Computer Applications K.L.N. College of Information Technology Madurai India Department of Computer Science & Engineering GKM College of Engineering and Technology Chennai India Department of Computer Applications National Institute of Technology Tiruchirappalli India VIT Business School Vellore of Institute of Technology Vellore India

Clinical databases have accumulated large quantities of information about patients and their clinical history. Data mining is the search for relationships and patterns within this data that could provide useful knowledge for effective decision-making. Classification analysis is one of the widely adopted data mining techniques for healthcare applications to support medical diagnosis, improving quality of patient care, etc. Usually medical databases are high dimensional in nature. If a training dataset contains irrelevant features (i.e., attributes), classification analysis may produce less accurate results. Data pre-processing is required to prepare the data for data mining and machine learning to increase the predictive accuracy. Feature selection is a preprocessing technique commonly used on high-dimensional data and its purposes include reducing dimensionality, removing irrelevant and redundant features, reducing the amount of data needed for learning, improving algorithms' predictive accuracy, and increasing the constructed models' comprehensibility. Much research work in data mining has gone into improving the predictive accuracy of the classifiers by applying the techniques of feature selection. The importance of feature selection in medical data mining is appreciable as the diagnosis of the disease could be done in this patient-care activity with minimum number of features. Feature selection may provide us with the means to reduce the number of clinical measures made while still maintaining or even enhancing accuracy and reducing false negative rates. In medical diagnosis, reduction in false negative rate can, literally, be the difference between life and death. In this paper we propose a feature selection approach for finding an optimum feature subset that enhances the classification accuracy of Naive .Bayes classifier. Experiments were conducted on the Pima Indian Diabetes Dataset to assess the effectiveness of our approach. The results confirm that SVM Rank

关键词： Support vector machines Diabetes Spatial databases Data mining Accuracy Support vector machine classification Medical diagnosis Medical diagnostic imaging History Decision making

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