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IFIP Annual Mediterranean Ad Hoc Networking Workshop, Med-Hoc-Net

作者： Anna Sidera Stavros Toumpis Department of Electrical and Computer Engineering University of Cyprus Cyprus Department of Informatics Athens University of Economics and Business Greece

We present the Extended Minimum Estimated Expected Delay (EMEED) protocol. EMEED is designed for use in wireless Delay Tolerant Networks (DTNs) that consist of a large number of highly mobile nodes with non-uniform mobility patterns. Under the EMEED protocol, any two nodes that are often in contact, either directly or through a multihop path, disseminate in the network the expected time they have to wait until they come into contact. Nodes route packets according to routing tables created using these expected times. When its main parameter, the contact radius, is equal to unity, the EMEED protocol operates similarly to the well known MEED protocol. However, using simulations, we show that for many mobility scenarios, when the contact radius is greater than unity, the EMEED protocol performs far better than MEED, in terms of throughput and delay, with only a modest increase in the control overhead.

关键词： Protocols Routing Delays Noise measurement Ad hoc networks Transient analysis Wireless communication

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DC programming and DCA based cross-layer optimization in multi-hop TDMA networks

DC programming and DCA based cross-layer optimization in mul...

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5th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2013

作者： Le Thi, Hoai An Nguyen, Quang Thuan Phan, Khoa Tran Pham Dinh, Tao Laboratory of Theoretical and Applied Computer Science Paul Verlaine University of Metz France School of Applied Mathematics and Informatics Hanoi University of Science and Technology Viet Nam Department of Electrical and Computer Engineering University of Alberta Edmonton AB Canada Laboratory of Modelling Optimization and Operations Research INSA Rouen France

ISBN: (纸本)9783642365423

Efficient design of wireless networks is a challenging task. Recently, the concept of cross-layer design in wireless networks has been investigated extensively. In this work, we present a cross-layer optimization framework, i.e., joint rate control, routing, link scheduling and power control for multi-hop time division multiple access (TDMA) networks. In particular, we study a centralized controller that coordinates the routing process and transmissions of links such that the network lifetime is maximized. We show that the aforementioned design can be formulated as a mixed integer-linear program (MILP) which has worst case exponential complexity to compute the optimal solution. Therefore, our main contribution is to propose a computationally efficient approach to solve the cross-layer design problem. Our design methodology is based on a so-called Difference of Convex functions algorithm (DCA) to provide either optimal or near-optimal solutions with finite convergence. The numerical results are encouraging and demonstrate the effectiveness of the proposed approach. One of the advantages of the proposed design is the capability to handle very large-scale problems which are the usual scenarios encountered in practice. © 2013 Springer-Verlag.

关键词： Time division multiple access

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Novel tag antenna design for UHF RFID applications

Novel tag antenna design for UHF RFID applications

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2013 13th Mediterranean Microwave Symposium, MMS 2013

作者： Hamani, A. Touhami, R. Yagoub, M.C.E. Instrumentation Laboratory Faculty of Electronics and Informatics U.S.T.H.B Algiers 16111 Algeria School of Electrical Engineering and Computer Science University of Ottawa Ottawa ON K1N 6N5 Canada

ISBN: (纸本)9781467358200

In this paper, a novel miniaturized UHF Radio-Frequency Identification (RFID) tag dipole antenna is proposed. Its original structure consists on a series of parallel arms connected to a perpendicular line at their ends. This configuration allows decreasing the physical length of the dipole antenna. A short stub is used at the input to provide a flexible impedance tuning. Two antennas were designed with different sizes. The first antenna, designed for both North American and European bands, has a size of 76.5 mm times 16 mm. The second designed antenna operates in the North American band and has a size of 48.5 mm times 25.5 mm. The two antennas exhibit respective efficiencies of 85 per cent and 74 per cent, making them suitable for RFID applications. © 2013 IEEE.

关键词： Dipole antennas

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Guidance, navigation, and control of an unmanned hovercraft

Guidance, navigation, and control of an unmanned hovercraft

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2013 21st Mediterranean Conference on Control and Automation, MED 2013

作者： Kim, Kilsoo Lee, Young-Ki Oh, Sehwan Moroniti, David Mavris, Dimitri Vachtsevanos, George J. Papamarkos, Nikos Georgoulas, George School of Aerospace Engineering Georgia Institute of Technology Atlanta GA 30332 United States School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA 30332 United States Democritus University of Thrace Greece KIC Laboratory Department of Informatics and Telecommunications Technology Technological Educational Institute of Epirus GR-47100 Greece

ISBN: (纸本)9781479909971

This paper introduces a simulation and evaluation of guidance, navigation, and control algorithms applied to an autonomous hovercraft. A line-of-sight guidance law is adopted in conjunction with a neural network based adaptive dynamic inversion control scheme for the underactuated hovercraft following a prescribed path. The simulation result demonstrates that the guidance and control scheme can be effective in waypoint following of the underactuated hovercraft, especially, when external disturbances exist. It is also shown that the error signals are bounded using Lyapunov's direct method. © 2013 IEEE.

关键词： Air cushion vehicles

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Basic theories for neuroinformatics and neurocomputing

Basic theories for neuroinformatics and neurocomputing

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12th IEEE International Conference on Cognitive informatics and Cognitive Computing, ICCI*CC 2013

作者： Wang, Yingxu Schulich School of Engineering University of Calgary 2500 University Drive NW Calgary AB T2N 1N4 Canada Laboratory for Cognitive Informatics and Cognitive Computing Dept. of Electrical and Computer Engineering Schulich School of Engineering 2500 University Drive NW Calgary AB T2N 1N4 Canada

ISBN: (纸本)9781479907816

A fundamental challenge for almost all scientific disciplines is to explain how natural intelligence is generated by physiological organs and what the logical model of the brain is beyond its neu ral architectures. According to cognitive infonnatics and abstract in telligence, the exploration of the brain is a complicated recursive problem where contemporary denotational mathematics is needed to efficiently deal with it. Cognitive psychology and medical science were used to explain that the brain works in a ce rtain way based on empirical observations on related activ ities in usually overlapped brain areas. However, the lack of precise models and rigorous causality in brain studies has dissatisfied the formal expectations of researchers in computational intelligence and mathematics, because a computer, the logical counterpart of the brain, might not be explained in such a vague and empirical approach without the support of formal models and rigorous means. In order to fonnally explain the archi tectures and functions of the brain, as well as their intricate relations and interactions, systematic models of the brain are sought for revealing the principles and mechanisms of the brain at the neural, physiological, cognitive, and logical (abstract) levels. Cognitive and brain informatics investigate into the brain via not only inductive syntheses through these four cognitive levels from the bottom up in order to form theories based on empirical observations, but also deductive analyses from the top down in order to explain various functional and behavioral instances according to the abstract intelligence theory. This keynote lecture presents systematic models of th ebrain from the facets of cognitive informatics, abstract intelligence, brain informatics, neuroinformatics, and cognitive psychology. A logical model oft he brain is introduced that maps the cognitive functions of the brain onto its neural and physiological architectures. This work leads to a coherent abstr

关键词： Engines

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Reconstruction of Object Surface from Multi-View Images Improved by Image Forces

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SICE Journal of Control, Measurement, and System Integration 2013年第4期6卷 231-237页

作者： Karolina Nurzynska Mamoru Kubo Ken-ichiro Muramoto Institute of Informatics Silesian University of Technology Division of Electrical Engineering and Computer Science Graduate School of Natural Science and Technology Kanazawa University National College of Science

Currently available techniques for surface reconstruction from multi-view images require a large number of images in order to assure high surface resolution and precise detail reconstruction. Obtaining such big number of images in some cases is impossible; moreover, it may impose high preparation cost. Therefore, to address this drawback, a novel method is presented. This method is based on the visual hull approach. It assumes to be able to reconstruct three dimensional manifolds without edge from images, the number of necessary images should be as small as possible, and the quality of reconstructed mesh should be good. Applying this method for four images from a dino dataset proved the proposed method works well.

关键词： surface reconstruction multi-view images surface carving

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Distributed Offline Load Balancing in MapReduce Networks

Distributed Offline Load Balancing in MapReduce Networks

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IEEE Annual Conference on Decision and Control

作者： Themistoklis Charalambous Evangelia Kalyvianaki Christoforos N. Hadjicostis Mikael Johansson School of Electrical Engineering Royal Institute of Technology (KTH) Stockholm Sweden School of Informatics City University London UK Department of Electrical and Computer Engineering at the University of Cyprus Nicosia Cyprus

ISBN: (纸本)9781467357159

In this paper we address the problem of balancing the processing load of MapReduce tasks running on heterogeneous clusters, i.e., clusters composed of nodes with different capacities and update cycles. We present a fully decentralized algorithm, based on ratio consensus, where each mapper decides the amount of workload data to handle for a single user job using only job specific local information, i.e., information that can be collected from directly connected neighboring mappers, regarding their current workload usage and capacity. In contrast to other algorithms in the literature, the proposed algorithm can be deployed in heterogeneous clusters and can operate asynchronously in both directed and undirected communication topologies. The performance of the proposed algorithm is demonstrated via simulation experiments on large-scale strongly connected topologies.

关键词： Delays Clustering algorithms Topology Educational institutions Distributed algorithms Information exchange Equations

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Optimal Bayesian feature selection

Optimal Bayesian feature selection

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IEEE Global Conference on Signal and Information Processing (GlobalSIP)

作者： Lori A. Dalton Dept. of Electrical and Computer Engineering and Dept. of Biomedical Informatics The Ohio State University Columbus OH USA

Biomarker discovery and classification in medical applications both typically involve feature selection applied to a small-sample high-dimensional dataset. Recent work has proposed a framework to integrate a prior over an uncertainty class of parameterized feature-label distributions with training data to obtain optimal classifiers, MMSE classifier error estimates, and evaluate the MSE of error estimates. However, feature selection has not been investigated rigorously in this paradigm. In the present work, we begin to address optimal feature selection in a Bayesian framework via a sparsity inducing prior that assumes the number of “good” features is small. From modeling assumptions and this prior we derive expressions for the sample-conditioned probability mass over good feature sets. It thus becomes possible to find feature sets that are optimal relative to maximal posterior probability. Furthermore, one may provide this probability along with a given feature set, and thereby evaluate the validity and reliability of the results.

关键词： Bayes methods Error analysis Vectors Approximation methods Training Bioinformatics Uncertainty

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Animation Model of Multi-object in Fractal form based on Partitioned-random Iteration Algorithm

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Procedia Technology 2013年 11卷 93-98页

作者： Tedjo Darmanto Iping Supriana Suwardi Rinaldi Munir Informatics Department AMIK Bandung School of Management Informatics and Computer Jl.Jakarta 28 Bandung 40272 Indonesia School of Electrical Engineering and Informatics Bandung Institute of Technology. Jl.Ganesha 10 Bandung 40132 Indonesia

Animation model of objects in fractal form has many advantages over animation model of objects in traditional form. Traditionally simple object is drawn by drawing functions and the slight different form of object should be redrawn by different function, so every manipulation effort to change or to animate the form of object should call the different function. Naturally fractal object is drawn by a single algorithm through drawing pixels at the position according the code of fractal, so to change the form of or to animate the fractal object is done simply by changing the code of fractal such as IFS code at any time interactively. IFS code is the inverse problem representation of object in fractal form. The IFS fractal objects can be reconstructed by random iteration algorithm and the multi-object of fractal can be reconstructed by partitioned-random iteration algorithm from the IFS code sets.

关键词： Animation drawing fractal IFS code inverse problem: multi-object partitioned-random iteration

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Cognitive Networking with Opportunistic Routing in Wireless Sensor Networks

Cognitive Networking with Opportunistic Routing in Wireless ...

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IEEE International Conference on Communications

作者： Petros Spachos Periklis Chatzimisios Dimitrios Hatzinakos Department of Electrical and Computer Engineering University of Toronto Toronto ON Canada Department of Informatics Alexander TEI of Thessaloniki Thessaloniki Greece

Under the cognitive networking architecture, this paper presents an opportunistic routing protocol for cognitive radio in Wireless Sensor Networks (WSNs), which can deliver higher performance and efficiency in multihop wireless communications. Cognitive Networking with Opportunistic Routing, (CNOR), opportunistically routes traffic across paths over all available spectrum. A discrete event simulator is applied to evaluate and compare the proposed scheme against three other routing protocols: traditional routing with single channel, traditional routing with multiple channels and opportunistic routing with single channel. It is shown that by integrating opportunistic routing with cognitive radio much better results can be obtained, with respect to energy consumption, throughput and latency.

关键词： Routing Wireless sensor networks Cognitive radio Energy consumption Throughput Routing protocols

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