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15th WSEAS International Conference on Communications, Part of the 15th WSEAS CSCC Multiconference, 5th International Conference on Communications and Information Technology, CIT'11

作者： Alexandris, George Karadimas, Nikolaos V. Doukas, Nikolaos Informatics and Computer Science LAB Department of Mathematics and Science Engineering Univ. of Military Education-Hellenic Army Academy Vari-Koropi Ave 16673 Vari Greece

ISBN: (纸本)9781618040183

The use of covering models in military operations is a key issue which can significantly affect decision making in several military scenarios concerning the formulation of the best military structure. In this paper we concentrate on the well known Maximal Coverage Location Problem in combination with the Back Up Coverage Location Problem and demonstrate that using the above covering models in order to formulate the best military structure can lead to excellent covering results. We propose the above models based on the notion of coverage and exploit the capabilities of Geographic Information Systems in order to better formulate, solve and visualize the problem of the best military coverage structure. Results of an empirical study indicate that the proposed models can provide optimal coverage structure and thus must be used extensively in military operations.

关键词： Decision making

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Psychophysiological monitoring as part of the training of hellenic airforce pilots

Psychophysiological monitoring as part of the training of he...

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15th WSEAS International Conference on Communications, Part of the 15th WSEAS CSCC Multiconference, 5th International Conference on Communications and Information Technology, CIT'11

作者： Karanasiou, Irene Informatics and Computer Science LAB Department of Mathematics and Engineering Sciences Univ. of Military Education-Hellenic Army Academy Vari-16673 Athens Greece

ISBN: (纸本)9781618040183

Psychophysiological monitoring as part of the training of pilots of the Greek Airforce and the implementation of an auditory identification task for error monitoring are discussed in this paper. The proposed tones-matching task (TMT) allows investigating, via simultaneous assessment of brain potentials of the two pilots working together, the time course of relevant perceptual, decisional and audio-related information processes in flying task performance. With Event Related Potentials (ERP) research error-related negativities (ERNs) relative to action and perceptual consequences of action in both pilot and co-pilot will be assessed. The TMT will be in this sense a tool of evaluating the co-pilots or trainer's skills and capabilities. In addition to the above, auditory EEG neurofeedback could be also used for error correction and concentration improvement in pilots.

关键词： Error correction

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Improving usability and accessibility of cheminformatics tools for chemists through cyberinfrastructure and education

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In Silico Biology 2011年第1-2期11卷 41-60页

作者： Guha, Rajarshi Wiggins, Gary D. Wild, David J. Baik, Mu-Hyun Pierce And, Marlon E. Fox, Geoffrey C. Department of Computer Science Community Grids Lab Indiana University School of Informatics Bloomington IN 47405 501 N. Morton United States Indiana University Department of Chemistry School of Informatics Bloomington IN United States Indiana University Pervasive Technology Laboratories Community Grids Lab Bloomington IN United States

Some of the latest trends in cheminformatics, computation, and the world wide web are reviewed with predictions of how these are likely to impact the field of cheminformatics in the next five years. The vision and some of the work of the Chemical informatics and Cyberinfrastructure Collaboratory at Indiana University are described, which we base around the core concepts of e-science and cyberinfrastructure that have proven successful in other fields. Our chemical informatics cyberinfrastructure is realized by building a flexible, generic infrastructure for cheminformatics tools and databases, exporting "best of breed" methods as easily-accessible web APIs for cheminformaticians, scientists, and researchers in other disciplines, and hosting a unique chemical informatics education program aimed at scientists and cheminformatics practitioners in academia and industry. © 2011/2012 - IOS Press and the authors. All rights reserved.

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UR3D-C: Linear dimensionality reduction for efficient 3D face recognition

UR3D-C: Linear dimensionality reduction for efficient 3D fac...

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2011 International Joint Conference on Biometrics, IJCB 2011

作者： Ocegueda, Omar Passalis, Georgios Theoharis, Theoharis Shah, Shishir K. Kakadiaris, Ioannis A. Computational Biomedicine Lab Department of Computer Science University of Houston Houston TX 77004 United States Department of Informatics and Telecommunications University of Athens Ilisia Attiki 15784 Athens Greece

ISBN: (纸本)9781457713583

We present a novel approach for computing a compact and highly discriminant biometric signature for 3D face recognition using linear dimensionality reduction techniques. Initially, a geometry-image representation is used to effectively resample the raw 3D data. Subsequently, a wavelet transform is applied and a biometric signature composed of 7,200 wavelet coefficients is extracted. Finally, we apply a second linear dimensionality reduction step to the wavelet coefficients using Linear Discriminant Analysis and compute a compact biometric signature. Although this biometric signature consists of just 57 coefficients, it is highly discriminant. Our approach, UR3D-C, is experimentally validated using four publicly available databases (FRGC v1, FRGC v2, Bosphorus and BU-3DFE). State-of-the-art performance is reported in all of the above databases. © 2011 IEEE.

关键词： Image representation

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FAST IMPLEMENTATION ZERO KNOWLEDGE IDENTIFICATION SCHEMES USING THE GALOIS FIELDS ARITHMETIC

FAST IMPLEMENTATION ZERO KNOWLEDGE IDENTIFICATION SCHEMES US...

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International Symposium on Telecommunications

作者： Nikolaos G. Bardis Oleksandr P. Markovskyi Nikolaos Doukas Athanasios Drigas Department of Military Sciences Faculty of Mathematics and Engineering Science Informatics and Computer Engineering Lab Univ. Military Education - Hellenic Army Academy Vari - 16673 Greece. Department of Computer Engineering National Technical University of Ukraine (Polytechnic Inst. of Kiev)Peremohy pr. Kiev 252056 KPI 2003 Ukraine. National Centre for Scientific Research "Demokritos" Institute of Informatics & Telecommunications - Net Media Lab Ag.Paraskevi - Athens 15310 Greece.

ISBN: (纸本)9781467348751

This article proposes an approach that accelerates the realization of user identification schemes that follow the principle of zero knowledge. The proposed approach is based on using finite field arithmetic to replace the usual modular arithmetic approaches. The application of this efficient method that was developed using Galois Fields, renders feasible an exponential reduction of the computation time required for classical zero knowledge authentication methods, such as FFSIS, Schnorr and Guillou & Quisquater. Modifications of the relevant schemes are presented that use Galois Field multiplication operations. It is shown, both theoretically and experimentally that the proposed procedure attains a per order acceleration of the execution time required for the user authentication by 2 - 3 orders of magnitude, via a hardware implementation.

关键词： Galois Field Modulo Multiplication User Identification

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Classification of total load demand profiles for war-ships based on pattern recognition methods

Classification of total load demand profiles for war-ships b...

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15th WSEAS International Conference on Communications, Part of the 15th WSEAS CSCC Multiconference, 5th International Conference on Communications and Information Technology, CIT'11

作者： Tsekouras, G.J. Karanasiou, I.S. Kanellos, F.D. Department of Electrical and Computer Science Hellenic Naval Academy Terma Hatzikyriakou Piraeus Greece Informatics and Computer Science LAB Department of Mathematics and Engineering Sciences Univ. of Military Education-Hellenic Army Academy Piraeus Vari-16673 Athens Greece Hellenic Transmission System Operator Kastoros 72 Piraeus Greece

ISBN: (纸本)9781618040183

The classification of total load demand profiles for every type of war-ships is crucial information, because it is the necessary base for a series of studies and operations, such as load estimation, load shedding and power management systems. In this paper a pattern recognition methodology is presented, which is based on different pattern recognition methods, such as k-means, modified k-means etc. Each method can properly be optimized by using different adequacy measures, such as the ratio of within cluster sum of squares to between cluster variation. This methodology is applied to total load demand of Hellenic Navy MEKO type frigate indicatively and the usefulness of the respective results for the power system design and operation is proved.

关键词： Clustering algorithms

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Visual tracking based on log-Euclidean Riemannian sparse representation

Visual tracking based on log-Euclidean Riemannian sparse rep...

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7th International Symposium on Visual Computing, ISVC 2011

作者： Wu, Yi Ling, Haibin Blasch, Erik Bai, Li Chen, Genshe Center for Data Analytics and Biomedical Informatics Computer and Information Science Department Temple University Philadelphia PA United States Air Force Research Lab. SNAA OH United States Electrical and Computer Engineering Department Temple University Philadelphia PA United States

ISBN: (纸本)9783642240270

Recently, sparse representation has been utilized in many computer vision tasks and adapted for visual tracking. Sparsity-based visual tracking is formulated as searching candidates with minimal reconstruction errors from a template subspace with sparsity constraints in the approximation coefficients. However, an intensity template is easily corrupted by noise and not robust for target tracking under a dynamic environment. The recently proposed covariance region descriptor has been proven robust and versatile for a modest computational cost. Further, the covariance matrix enables efficient fusion of different types of features, where the spatial and statistical properties as well as their correlation are characterized, and its dimension is small. Although the covariance matrix lies on Riemannian manifolds, its log-transformation can be measured on a Euclidean subspace. Based on the covariance region descriptor and using the sparse representation, we propose a novel tracking approach on the Log-Euclidean Riemannian subspace. Specifically, the target region is characterized by a covariance matrix which is then log-transformed from the Riemannian manifold to the Euclidean subspace. After that, the target tracking problem is integrated under a sparse approximation framework, where the sparsity is achieved by solving an 1- regularization problem. Then the candidate with the smallest approximation is taken as the tracked target. For target propagation, we use the Bayesian state inference framework, which propagates sample distributions over time using the particle filter algorithm. To evaluate our method, we have collected several video sequences and the experimental results show that our tracker can achieve robustly and reliably target tracking. © 2011 Springer-Verlag.

关键词： Target tracking

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WIDELY LINEAR KERNEL-BASED ADAPTIVE FILTERS

WIDELY LINEAR KERNEL-BASED ADAPTIVE FILTERS

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European Signal Processing Conference

作者： P. Bouboulis S. Theodoridis M. Mavroforakis Department of Informatics and Telecommunications University of Athens Greece Computational Biomedicine Lab Department of Computer Science University of Houston

Widely linear estimation for complex-valued signal processing is growing in popularity, especially in the cases where the involved signals exhibit non-circular characteristics. In this paper, the extended Wirtinger's calculus in complex Reproducing Kernel Hilbert Spaces (RKHS), presented in, is adopted to derive complex kernel-based widely-linear estimation filters. Furthermore, we illuminate several important characteristics of widely linear filters, which, to our knowledge, haven’t been considered before. Our results indicate that, in contrast to many cases where the gains from adopting widely linear estimation filters, instead of ordinary linear filters, are rudimentary, for the case of kernel-based widely linear filters significant performance improvements can be obtained.

关键词： Kernel Hilbert space Estimation Calculus Least squares approximations Signal processing Signal processing algorithms

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Robust and stable small-world topology of brain intrinsic organization during pre- and post-task resting states

Robust and stable small-world topology of brain intrinsic or...

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Lecture Notes in computer science

作者： Wang, Zhijiang Liu, Jiming Zhong, Ning Qin, Yulin Zhou, Haiyan Li, Kuncheng International WIC Institute Beijing University of Technology China Beijing Municipal Lab. of Brain Informatics China Dept. of Computer Science Hong Kong Baptist University Hong Kong Dept. of Life Science and Informatics Maebashi Institute of Technology Japan Dept. of Psychology Carnegie Mellon University United States Dept. of Radiology Xuanwu Hospital Capital Medical University China

ISBN: (纸本)9783642236044

Brain functional network studies have demonstrated the small-world topology as the nature of large-scale spontaneous brain activity. Studies have also revealed that the temporal coherence of spontaneous activity could be reshaped during task-dependent (or post-task) resting states within local spatial patterns such as task-related and the default-mode networks. However, to our best knowledge, it is still a lack of rigorous investigations that whether the small-world topology of spontaneous intrinsic organization remains robust and stable during different resting states. To address the problem, we recorded blood oxygen level-dependent (BOLD) signals from two rests (namely, pre- and post-task resting states) before and after a simple semantic-matching task, and investigated the preceding task influences on the topology of the large-scale spontaneous intrinsic organization during the post-task resting state. The major findings are that the small-world configuration of spontaneous intrinsic organization remains robust and stable during resting states regardless of preceding task influences. © 2011 Springer-Verlag.

关键词： Brain

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Investigation of scalable video delivery using H.264 SVC on an LTE network

Investigation of scalable video delivery using H.264 SVC on ...

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2011 14th International Symposium on Wireless Personal Multimedia Communications: Communications, Networking and Applications for the Internet of Things, WPMC'11

作者： McDonagh, Patrick Vallati, Carlo Pande, Amit Mohapatra, Prasant Perry, Philip Mingozzi, Enzo Performance Eng. Lab. School of Comp. Sci. and Informatics University College Dublin Ireland Dipartimento di Ingegneria dell'Informazione University of Pisa Italy Department of Computer Science University of California Davis CA 95616 United States

ISBN: (纸本)9781457717864

The combination of increased data rates in 4G cellular networks (such as LTE Advanced), dedicated multicast/broadcast services (e-MBMS) and the emergence of scalable video coding standards (H.264 SVC) allow mobile operators to offer multimedia-based services with a high quality of experience to end users. H.264 SVC offers three dimensions of scalability v.i.z. Quality (SNR), Temporal and Spatial. © 2011 National Institute of Inform.

关键词： Scalable video coding

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