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Image encryption using the reciprocal-orthogonal parametric transform

Image encryption using the reciprocal-orthogonal parametric ...

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Saad Bouguezel M. Omair Ahmad M. N. S. Swamy Scientific Instrumentation Laboratory Department of Electronics Faculty of Engineering University Farhat Abbas of Setif Setif Algeria Center of Signal processing and Communications Department of Electrical and Computer Engineering Concordia University Montreal Canada

Discrete transforms have been widely used in various signal processing applications. Specifically, transform-based data encryption techniques have become attractive for many recent communication systems. In this paper, we propose a fast and efficient image encryption method based on the reciprocal-orthogonal parametric (ROP) transform. By exploiting the properties of the ROP transform, we show that its independent parameters can successfully be used as an additional secret key for encryption. Experiments results carried clearly show the efficiency of the proposed encryption method.

关键词： Cryptography Discrete transforms signal processing Watermarking Instruments Laboratories Image coding Application software Matrix decomposition Software algorithms

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Inter-cell interference coordination with adaptive frequency-reuse for VoIP and data traffic in downlink of 3GPP-LTE

Inter-cell interference coordination with adaptive frequency...

引用

International Conference on Application of Information and Communication Technologies (AICT)

作者： Zahra Bakhti Shahriar Shirvani Moghaddam Department of Electrical Engineering Tehran South Branch Islamic Azad University Tehran Iran Digital Communications Signal Processing (DCSP) Research Lab Department of Electrical and Computer Engineering Shahid Rajaee Teacher Training University Tehran Iran

One of the most important challenges is how to manage inter-cell interference. Special care has to be taken regarding voice traffic which has more strict requirements on delay and packet loss. The goal of inter-cell interference coordination schemes is to decrease inter-cell interference and get higher cell throughput, so we evaluated the performance of inter-cell interference coordination schemes containing reuse-one, reuse-three, reuse-one with power-planning, Soft frequency reuse and Fractional frequency reuse schemes. With considering high traffic load the best option regarding to the cell throughput what can be seen is the Fractional reuse with b=0.7 (b, percentage of reduced power sub-band). In the second step for interference control, adaptive reuse is proposed. The frequency reuse of the system can be changed in function of the proportion of voice users. When two traffic types are present at the same time reuse-one and reuse-three are the best schemes for data and voice, respectively. However the best scheme in performance for one traffic type is the worst for the other in general. The proposed algorithm gives a performance between reuse-one and reuse-three.

关键词： Interference Throughput OFDM signal to noise ratio Adaptation model Bandwidth Resource management

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Techniques for automatic magnetic resonance image classification

Techniques for automatic magnetic resonance image classifica...

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International Conference on Genetic and Evolutionary Computing

作者： Chen, Hsian-Min Chen, Shih-Yu Chai, Jyh Wen Chen, Clayton Chi-Chang Wu, Chao-Cheng Ouyang, Yen-Chieh Tsai, Ching Tsorng Yang, Ching-Wen Lee, San-Kan Chang, Chein-I Department of Biomedical Engineering Hungkuang University Taichung Taiwan Department of Electrical Engineering National Chung Hsing University Taichung Taiwan Section of Radiology College of Medicine China Medical University Taichung Taiwan Department of Radiology Taichung Veterans General Hospital Taichung Taiwan Department of Radiological Technology Central Taiwan University of Science and Technology Taichung Taiwan Department of Electrical Engineering National Taipei University of Technology Taipei Taiwan Computer Science Department Tunghai University Taichung Taiwan Computer Center Taichung Veterans General Hospital Taichung Taiwan Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD 21250 United States

ISBN: (纸本)9780769542812

Designing and developing automatic techniques for magnetic resonance images (MR) for data analysis is very challenging. One popular and public available method, FAST (FMRIB Automatic Segmentation Tool) has been widely used for automatic brain tissue segmentation for this purpose. This paper investigates limitations of this software algorithm on implementation and further develops a new approach to automatic MR brain tissue classification. The proposed new technique first implements an unsupervised training sample generation process (UTSGP) which includes a Pixel Purity Index (PPI) to generate an initial set of training samples that are further refined by a Support Vector Machine. The resulting training samples are then as a set of training samples for an Iterative Fisher's Linear Discriminant Analysis (IFLDA) which implements FLDA iteratively to improve classification. In order to conduct a fair comparison synthetic images are used for performance evaluation. Experimental results show that our proposed technique is superior in practical implementation to this software algorithm in several aspects of generalization ability, flexibility of choosing number of classes to be classified, avoidance of inconsistent results caused by different initial conditions. © 2010 IEEE.

关键词： Support vector machines

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Volume-based magnetic resonance brain image classification

Volume-based magnetic resonance brain image classification

引用

International Conference on Genetic and Evolutionary Computing

作者： Chiou, Yaw-Jiunn Chai, Jyh-Wen Chen, Clayton Chi-Chang Chen, Shih-Yu Chen, Hsian-Min Ouyang, Yen-Chieh Su, Wu-Chung Tsai, Ching Tsorng Yang, Ching-Wen Lee, San-Kan Chang, Chein-I Department of Electrical Engineering National Chung Hsing University Taichung Taiwan Section of Radiology College of Medicine China Medical University Taichung Taiwan Department of Radiology Taichung Veterans General Hospital Taichung Taiwan Department of Radiological Technology Central Taiwan University of Science and Technology Taichung Taiwan Department of Biomedical Engineering Hungkuang University Taichung Taiwan Computer Science Department Tunghai University Taichung Taiwan Computer Center Taichung Veterans General Hospital Taichung Taiwan Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD 21250 United States

ISBN: (纸本)9780769542812

This paper develops a volume-based technique, called Volume Sphering Analysis (VSA) which can process all acquired Magnetic Resonance (MR) image slices-formed image cube using only one set of training samples obtained from an image slice. So, several significant advantages and benefits can be gained from our proposed VSA. In the past, when MR image classification is performed, each image slice requires its own specific training samples and training samples obtained from one slice are not applied to another slice. The VSA allows users to reduce computational time. In addition, it saves significant effort in selecting training samples for each of image slices. Thirdly, it is robust to all image slices compared to the traditional one-slice MR image classification which is sensitive to each image slice. Experimental results demonstrate that the VSA performs as well as does that using specifically selected training samples for individual image slices. © 2010 IEEE.

关键词： Support vector machines

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Characterization of delay and Doppler spreads of underwater particle velocity channels using zero crossing rates

Characterization of delay and Doppler spreads of underwater ...

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Annual Conference on Information Sciences and Systems (CISS)

作者： H. Guo A. Abdi A. Song M. Badiey Center for Wireless Communication and Signal Processing Research Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA Physical Ocean Science and Engineering College of Earth Ocean and Environment University of Delaware Newark DE USA

Communication in acoustic particle velocity channel using vector sensors is recently proposed for the underwater medium. Due to the presence of multiple propagation paths, a mobile receiver collects the transmitted signal with different delays and Doppler shifts. This introduces certain delay and Doppler spreads in particle velocity communication channels. In this paper, these channel spreads are characterized using the zero crossing rates of channel responses in frequency and time domain. Useful expressions for delay and Doppler spreads are derived in terms of the key channel parameters, mean angle of arrivals and angle spreads. Closed-form expressions for the temporal correlations of underwater acoustic particle velocity channels are presented as well. These results are needed for design and performance predication of communication systems in time-varying and frequency-selective underwater particle velocity channels.

关键词： Underwater acoustics Mobile communication Underwater communication Sensor phenomena and characterization Acoustic sensors Acoustic propagation Propagation delay Doppler shift Communication channels Closed-form solution

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Digital transmission via underwater acoustic particle velocity channels

Digital transmission via underwater acoustic particle veloci...

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Annual Conference on Information Sciences and Systems (CISS)

作者： C. Chen A. Abdi A. Song M. Badiey Center for Wireless Communication and Signal Processing Research Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA Physical Ocean Science and Engineering College of Earth Ocean and Environment University of Delaware Newark DE USA

Recent studies have shown that a compact underwater vector sensor receiver can perform as an array of scalar sensors. Here we propose a scheme to transmit data via underwater particle velocity channels using a dipole vector sensor. System equations are derived and simulations are presented. This demonstrates the possibility of digital transmission using a vector sensor.

关键词： Underwater acoustics Acoustic sensors Acoustic devices Sensor systems Acoustic measurements Pressure measurement Transmitters Sensor phenomena and characterization Sensor arrays Sea measurements

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Spectral clustering approach with sparsifying technique for functional connectivity detection in the resting brain

Spectral clustering approach with sparsifying technique for ...

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International Conference on Intelligent and Advanced Systems, ICIAS

作者： Mahdi Ramezani Amin Heidari Emad Fatemizadeh Hamid Soltanian-Zadeh Biomedical Signal and Image Processing Laboratory Sharif University of Technology Tehran Iran Radiology Image Analysis Laboratory Henry Ford Health System Detroit MI USA Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Iran

The aim of this study is to assess the functional connectivity from resting state functional magnetic resonance imaging (fMRI) data. Spectral clustering algorithm was applied to the realistic and real fMRI data acquired from a resting healthy subject to find functionally connected brain regions. In order to make computation of the spectral decompositions of the entire brain volume feasible, the similarity matrix has been sparsified with the t-nearest-neighbor approach. Realistic data were created to investigate the performance of the proposed algorithm and comparing it to the recently proposed spectral clustering algorithm with the Nystrom approximation and also with some well-known algorithms such as the Cross Correlation Analysis (CCA) and the spatial Independent Component Analysis (sICA). To enhance the performance of the methods, a variety of data pre and post processing steps, including data normalization, outlier removal, dimensionality reduction by using wavelet coefficients, estimation of number of clusters and optimal number of independent components (ICs). Results demonstrate the applicability of the proposed algorithm for functional connectivity analysis.

关键词： Clustering algorithms Algorithm design and analysis Correlation Approximation methods Independent component analysis Time series analysis Approximation algorithms

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Vulnerability of Bluetooth to impulsive noise in electricity transmission substations

Vulnerability of Bluetooth to impulsive noise in electricity...

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International Conference on Wireless Sensor Network

作者： Bhatti, S.A. Glover, I.A. Atkinson, R. Shan, Qingshan Yang, Yang De S Neto, J.M.R. Da Rocha Neto, J.S. Centre for Excellence in Signal and Image Processing Centre for Intelligent Dynamic Communications University of Strathclyde 204 George Street Glasgow G1 1XW United Kingdom Department of Electronic and Electrical Engineering Centre for Intelligent Dynamic Communications University of Strathclyde 204 George Street Glasgow G1 1XW United Kingdom MRC Institute of Hearing Research University Park Nottingham NG7 2RD United Kingdom Shanghai Research Center for Wireless Communications SIMIT Chinese Academy of Sciences Shanghai China Departamento de Engenharia Eletrica Universidade Federal de Campina Grande Campina Grande Brazil

ISBN: (纸本)9781849192392

Vulnerability of Bluetooth receiver to impulsive noise has been assessed in this paper. Impulsive noise environment of an Electricity transmission substation environment is modelled as a Symmetric Alpha Stable process. Parameters of the model are estimated from the measurements carried out in control room of an electricity transmission substation.

关键词： Impulse noise

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A Multi-resolution Entropic-Based Image processing Technique for Diagnostic Analysis of Microcirculation Videos

A Multi-resolution Entropic-Based Image Processing Technique...

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International Conference on Biosciences (BIOSCIENCESWORLD)

作者： Nazanin Mirshahi Sumeyra U. Demir Kevin Ward Rosalyn Hobson Roya Hakimzadeh Kayvan Najarian Department of Computer Science Virginia Commonwealth University Richmond VA USA Department of Electrical Engineering Virginia Commonwealth University Richmond VA USA Department of Emergency Medicine Virtual Reality Applications Center Richmond VA USA Signal Processing Technologies LLC Richmond VA USA

ISBN: (纸本)9781424459292;9780769539683

Segmentation of microcirculation is a major step in analyzing blood circulatory system. In this study, a method for segmentation of capillaries and small blood vessels in video recordings captured from lingual surface is presented. The main objective is to monitor and quantitatively assess the variations that occur in microcirculation over a period of treatment for diseases or during a resuscitation process. The resulting system will assist physicians and researchers to make diagnostically and therapeutically important decisions such as determination of effectiveness of drug usage and resuscitation process. The algorithm is based on advanced digital image processing methods to detect capillaries and to determine the Functional Capillary Density (FCD) in order to identify the distribution of blood flow for a variety of normal and abnormal cases. The technique consists of four main steps; preprocessing, video stabilization, segmentation and post-processing. This study specifically focuses on minimizing user interaction and improving the accuracy of results. Visual inspection of the results by medical experts indicates that the technique can identify 95% of active capillaries and small blood vessels.

关键词： Image processing Image analysis Image segmentation Biomedical imaging Blood vessels Circulatory system Video recording Surface treatment Monitoring Diseases

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Multi-Variable Cost Function for Application Layer Multicast Routing

Multi-Variable Cost Function for Application Layer Multicast...

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2010 IEEE Global Telecommunications Conference GLOBECOM 2010

作者： Tien Anh Le Hang Nguyen Hongguang Zhang Department of Electrical and Computer Engineering University of Massachusetts Amherst Amherst USA National Science Center Kharkiv Institute of Physics and Technology” Kharkiv Ukraine Digital Signal Processing Indian Institute of Technology Delhi India National Academy of Science of Ukraine Scientific and Technological Center of Electrophysics Kharkiv Ukraine

Cost function is an essential part in Application Layer Multicast (ALM) routing algorithms. It is from a cost function that we can calculate links' costs and then build the data delivery tree for multicasting. Unfortunately, cost function remains an almost untouched research area in ALM routing. In this research, we propose a new multi-variable cost function considering various end-to-end QoS parameters simultaneously. The mathematical derivation process is also described in details so that one can apply it to obtain other multi-variable cost functions according to their specific requirements. The newly proposed multi-variable cost function can avoid congestion before it happens, preventing the data delivery tree from being frequently or unnecessarily changed while still be adaptable to the dynamic requirements of different applications. With theoretical analysis, we have proved that the new cost function can provide better performance for ALM routing algorithms compared to conventional cost functions.

关键词： Cost function Bandwidth Delay Quality of service Routing Equations IEEE communications Society

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