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2010 IEEE 7th international conference on Mobile Adhoc and Sensor Systems, MASS 2010

作者： Khurri, Andrey Kuptsov, Dmitriy Gurtov, Andrei Helsinki Institute for Information Technology Department of Computer Science and Engineering Aalto University Finland

ISBN: (纸本)9781424474882

Recent advances in development of low-cost wireless sensor platforms open up opportunities for novel wireless sensor network (WSN) applications. Likewise emerge security concerns of WSNs receiving closer attention of research community. Well known security threats in WSNs range from Denial-of-Service (DoS), Replay and Sybil attacks to those targeted at violating data integrity and confidentiality. Public-key cryptography (PKC) as a countermeasure to potential attacks, although originally treated infeasible for resource-constrained sensor nodes, has shown its eligibility for WSNs in the past few years. However, different security and performance requirements, energy consumption issues, as well as varying hardware capabilities of sensor motes pose a challenge of finding the most efficient security protocol for a particular WSN application and scenario. In this paper, we propose to use the Host Identity Protocol (HIP) as the main component for building network-layer security in WSNs. Combining PKC signatures to authenticate wireless nodes, a Diffie-Hellman key exchange to create a pairwise secret key, a puzzle mechanism to protect against DoS attacks and the IPsec protocol for optional encryption of sensitive application data, HIP provides a standardized solution to many security problems of WSNs. We discuss how HIP can strengthen security of WSNs, suggest possible alternatives to its heavy components in particular WSN applications and evaluate their computational and energy costs on a Linux-based Imote2 wireless sensor platform. ©2010 IEEE.

关键词： Energy utilization

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Extraction of human heart conduction network from diffusion tensor MRI

Extraction of human heart conduction network from diffusion ...

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作者： El-Aff, Ihab Abdalla Ibrahim Computer Engineering Department Arab Academy for Science and Technology and Maritime Transport P.O.Box: 1029 Alexandria Egypt

ISBN: (纸本)9780889868250

Modeling of the Conduction Network of the heart has been addressed in much research for simulating the heart's electrical stimulation. the previous models estimate the Conduction Network depending on the early activation points of Durrer et. al. measurements and/or some dissection data where this gives an approximation to the real network. However, there are some considerable differences between Conduction Networks of different human hearts in which lead to a lake of accuracy of the provided models. A new approach is presented in this paper, where the Conduction Network can be built as a case-based structure and according to the literature this is the first method to achieve this. the method that is developed is based on the biological properties of the heart tissues as well as the working methodology of the Magnetic Resonance Imaging (MRI) scanner. Results of the produced structure were much similar to some dissection data and by employing the reconstructed Conduction Network in an inhomogeneous human model;the produced results were much similar to the measured ones. Copyright © 2011 ACTA Press.

关键词： Magnetic resonance imaging

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A collaborative decision support model for marine safety and security operations 7th

A collaborative decision support model for marine safety and...

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7th IFIP TC 10 Working conference on Distributed and Parallel Embedded Systems, DIPES 2010 and 3rd IFIP TC 10 international conference on Biologically-Inspired Collaborative Computing, BICC 2010 Held as Part of 21st IFIP World computer Congress, WCC 2010

作者： Glässer, Uwe Jackson, Piper Araghi, Ali Khalili When, Hans Shahir, Hamed Yagho Ubi Software Technology Lab School of Computing Science Simon Fraser University BurnabyBC Canada MacDonald Dettwiler and Associates Ltd RichmondBC Canada

ISBN: (纸本)9783642152337

Collaboration and self-organization are hallmarks of many biological systems. We present the design for an intelligent decision support system that employs these characteristics: it works through a collaborative, self-organizing network of intelligent agents. Developed for the realm of Marine Safety and Security, the goal of the system is to assist in the management of a complex array of resources in both a routine and emergency role. Notably, this system must be able to handle a dynamic environment and the existence of uncertainty. the decentralized control structure of a collaborative self-organizing system reinforces its adaptiveness, robustness and scalability in critical situations. © IFIP international Federation for Information Processing 2010.

关键词： Decision support systems

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A space and time efficient algorithm for SimRank computation

A space and time efficient algorithm for SimRank computation

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12th international Asia Pacific Web conference, APWeb 2010

作者： Yu, Weiren Lin, Xuemin Le, Jiajin Dept. of Computer Science and Technology Donghua University Shanghai China School of Computer Science and Engineering University of New South Wales NSW Australia

ISBN: (纸本)9780769540122

SimRank has been proposed to rank web documents based on a graph model on hyperlinks. the existing techniques for conducting SimRank computation adopt an iteration computation paradigm. the most efficient technique has the time complexity O (n3) with the space requirement O (n2) in the worst case for each iteration where n is the number of nodes (web documents). In this paper, we propose novel optimization techniques such that each iteration takes the time O (min {n · m;nr}) and requires space O (n + m) where m is the number of edges in a web-graph model and r ≤ log 2 7. We also show that our algorithm accelerates the convergence rate of the existing techniques. Moreover, our algorithm not only reduces the time and space complexity of the existing techniques but is also I/O efficient. We conduct extensive experiments on both synthetic and real data sets to demonstrate the efficiency and effectiveness of our iteration techniques. © 2010 IEEE.

关键词： Iterative methods

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Effects of feature selection using binary particle swarm optimization on wheat variety classification

Effects of feature selection using binary particle swarm opt...

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4th international conference on advances in Information technology, IAIT 2010

作者： Babalik, Ahmet Baykan, Ömer Kaan Işcan, Hazim Babaoǧlu, Ismail Findik, Oǧuz Selçuk University Department of Computer Engineering 42075 Konya Turkey

ISBN: (纸本)3642166989

In this article, classification of wheat varieties is aimed with the help of multiclass support vector machines (M-SVM) and binary particle swarm optimization (BPSO) algorithm. For each wheat kernel, 9 geometric and 3 color features are obtained from the digital images which are belong to 5 wheat type. Wheat types are classified using M-SVM. In order to increase the reliability of the classification process, 2 fold cross validation approach is implemented and this process repeated 250 times. Average classification accuracy is obtained as 91.5%. With the aim of increasing the classification accuracy and decreasing the process time, descriptive features are decreased by BPSO algorithm and reduced from 12 to 7. Average of classification accuracy is obtained as 92.02% using 7 features obtained from reduction with BPSO. © 2010 Springer-Verlag.

关键词： Support vector machines

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Biomechanics and numerical evaluation of cervical porcine models considering compressive loads using 2-D classic computer tomography CT, 3-D scanner and 3-D Computed Tomography

Biomechanics and numerical evaluation of cervical porcine mo...

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7th international conference on advances in Experimental Mechanics

作者： Beltran-Fernandez, J. A. Hernandez-Gomez, L. H. Urriolagoitia-Calderon, G. Gonzalez-Rebatu, A. Urriolagoitia-Sosa, G. Inst Politecn Nacl ESIME Unidad Zacatenco Secc Estudios Posgrado & InvestUPALMESIME Zacat Edificio 53Er Piso Mexico City 07738 DF Mexico Inst Politecn Nacl Hosp Reg ISSSTE Magdalene Coll Magdalena de las Salinas 07760 Mexico

ISBN: (纸本)9780878492480

In this paper the biomechanical behavior and numerical evaluation results of three C3-C5 porcine cervical models created with different modeling techniques are shown. the objective of this evaluation is to know the differences between the biomechanical effects on a bone graft, which replaces a damaged C4 vertebral body, a titanium alloy (Ti-6Al-4V) cervical plate, used to isolate the C4 damaged vertebra, and the influence on the compressive loads on the complete and instrumented C3-C5 cervical model. the biomechanical integrity of the healthy C3 and C5 vertebral body after the fixation of the cervical plate using titanium alloy screws is considered. Besides, 2-D computer Tomography classic technique, 3-D Scanner Z-Corp 700 and a CT scanning Philips Brilliance system was used to create the three FEM models. In addition, 3-D Software as Pro-E Wildfire 4.0, ScanIP 3.1, UGS NX-4 and Geomagics R 10.0 was used to create specific numerical model. Main displacements and von Misses stresses between the upper and lower surfaces of the vertebral bodies and the bone graft and the influence of the titanium alloy (Ti-6Al-4V) screws on the vertebral body of C3 and C5 were evaluated. the contribution of this study is to optimize the actual surgical technique once the numerical results on the FEM model have been analyzed. In other words, the numerical disparity between classic CT techniques versus 3-D modern techniques is established.

关键词： Biomechanics cervical 3-D Scanning Compressive loads Porcine vertebrae

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TELEMON - An embedded wireless monitoring and alert system for homecare

TELEMON - An embedded wireless monitoring and alert system f...

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12th Mediterranean conference on Medical and Biological Engineering and Computing, MEDICON 2010

作者： Rotariu, C. Costin, H. Ciobotariu, R. Adochiei, F. Amariutei, I. Andruseac, Gladiola Gr. T. Popa University of Medicine and Pharmacy Faculty of Medical Bioengineering Kogalniceanu 9-13 Iasi Romania Institute for Computer Science Romanian Academy Iasi Romania

ISBN: (纸本)9783642130380

the current common goal in medical information technology today is the design and implementation of monitoring solutions, which provide to patients services that enhance their quality of life. Developing of mobile information and communication technologies in home monitoring applications is becoming more useful. advances in wireless sensor network technology, the overall miniaturization of their associated hardware low-power integrated circuits and wireless communications have enabled the design of low-cost, miniature, and intelligent physiological sensor modules with applications in the medical industry. these modules are capable of measuring, processing, communicating one or more physiological parameters, and can be integrated into a wireless monitoring system. this paper describes the architecture of TELEMON, an embedded medical monitoring and alert system for patients with high medical risk. the system includes continuous monitoring of multiple vital signs, intelligent multiple parameter medical emergency detection, and an Internet/GSM connection to the monitoring centre. © 2010 international Federation for Medical and Biological Engineering.

关键词： Physiology

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An operational model for multiprocessors with caches

IFIP Advances in Information and Communication Technology

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IFIP advances in Information and Communication technology 2010年 323 AICT卷 371-385页

作者： Joshi, Salil Prasad, Sanjiva Indian Institute of Technology Delhi India

ISBN: (纸本)3642152392

Modern multiprocessors are equipped with local caches, to enhance program performance. However, the presence of caches can lead to the violation of sequential consistency [7] assumptions regarding program order and write atomicity. With respect to such relaxed memory models [1], we provide an operational description of program execution (in the style of [4]) that accounts for cache effects. In particular, we provide an operational characterization of cache invalidation and update policies and an abstract characterization of cache consistency. the programming model consists of a simple imperative language extended with common synchronization primitives such as locks or barrier instructions. the main results show that by precluding certain data races or by placing certain synchronization constraints, sequentially consistent behavior can be obtained for multiprocessor execution even in the presence of local caches. © IFIP international Federation for Information Processing 2010.

关键词： Multiprocessing systems

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Exploiting prior neurophysiological knowledge to improve brain computer interface performance

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17th international conference on Biomagnetism advances in Biomagnetism, Biomag2010

作者： Ewald, Arne Ziehe, Andreas Shahbazi, Forooz Nolte, Guido Fraunhofer Institute FIRST IDA Group Kekuléstr. 7 12489 Berlin Germany

ISBN: (纸本)9783642121968

Most EEG/MEG based Brain computer Interfaces (BCI) employ machine learning techniques to discriminate and classify the recorded data belonging to different classes. Usually, no neurophysiological knowledge is used within the classification algorithms. Here, a method is proposed that includes prior knowledge about the locations of sources of imagined movement of the left and the right hand by projecting EEG/MEG data onto a subspace defined by modeled sources at the corresponding locations in somatosensory areas. three different source models are investigated. First, one radial dipole on each side is based on the assumption that both location and orientation are known. Hence, for two sides, a 2-dimensional subspace is selected. Second, three dipoles at each location span a 6-dimensional subspace assuming known locations but uncertain orientations. third, we modeled the sources as multipoles up to quadrupolar order resulting in a 16-dimensional subspace. the multipole expansion systematically corrects for inaccuracies both in location and exact shape of the source. After the projection onto respective topographies, feature extraction is performed on the reduced data by Common Spatial Filter (CSP) analysis. Finally, Linear Discriminant Analysis (LDA) is applied for classification. the projection of the data leads to a reduction of the dimensionality of the signal focusing on those parts of the signal which are generated or suppressed in the motor cortex during imagined hand movement. Since EEG/MEG data are strongly affected by various types of artifacts hampering the classification the proposed procedure leads to a removal of parts of the signal and therefore a reduction of artifacts. For EEG data it is shown that a projection with respect to source locations prior to CSP analysis leads to a gain of BCI performance when the sources are modeled as multipoles. © Springer-Verlag 2010.

关键词： Brain computer interface

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Probabilistic mobility models for mobile and wireless networks

IFIP Advances in Information and Communication Technology

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IFIP advances in Information and Communication technology 2010年 323 AICT卷 86-100页

作者： Song, Lei Godskesen, Jens Chr IT University of Copenhagen Rued Langgaards Vej 7 DK-2300 Copenhagen S Denmark

ISBN: (纸本)3642152392

In this paper we present a probabilistic broadcast calculus for mobile and wireless networks whose connections are unreliable. In our calculus, broadcasted messages can be lost with a certain probability, and due to mobility the connection probabilities may change. If a network broadcasts a message from a location, it will evolve to a network distribution depending on whether nodes at other locations receive the message or not. Mobility of nodes is not arbitrary but guarded by a probabilistic mobility function (PMF), and we also define the notion of a weak bisimulation given a PMF. It is possible to have weak bisimular networks which have different probabilistic connectivity information. We furthermore examine the relation between our weak bisimulation and a minor variant of PCTL* [1]. Finally, we apply our calculus on a small example called the Zeroconf protocol [2]. © IFIP international Federation for Information Processing 2010.

关键词： Wireless networks

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