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IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

作者： Shaik Sahil Babu Arnab Raha Mrinal Kanti Naskar Omar Alfandi Dieter Hogrefe Department of Electronics and Telecommunication Engineering Jadavpur University Kolkata West Bengal India Institute of Computer Science Sensor Laboratory Telematics Group Georg-August-Universität Göttingen Gottingen Germany College of Information Technology Zayed University UAE

ISBN: (纸本)9781467321723

Sensor nodes of Wireless Sensor Networks (WSNs) are resource constraints in energy, memory, processing and communication bandwidth. Since they are operated by battery, their life span is limited. Specially, energy conservation is very important issue in the WSN, because it directly affects the life of the node as well as the entire network. Here, we develop a new way of electing a node among many trustworthy nodes for routing processes. This method consumes the energies of network nodes based on Fuzzy logic applied on their residual energy, trust level and distance from the Base Station. The proposed method elects one indispensible node for participating in routing among many worthy nodes. Hence, this method of election of node for routing in WSN sees the conservation of nodes energies go by very smooth and justifying, thereby increasing the life of the WSN.

关键词： Wireless sensor networks Routing Fuzzy logic Databases Routing protocols Energy states Nominations and elections

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Lung nodules classification in CT images using Shannon and Simpson Diversity Indices and SVM 1

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8th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2012

作者： Nascimento, Leonardo Barros De Paiva, Anselmo Cardoso Silva, Aristófanes Corrêa Federal University of Maranhão - UFMA Post-graduate Program in Engineering of Electricity Campus Do Bacanga Av. dos Portugueses SN Bacanga 65085-580 São Luis MA Brazil Federal University of Maranhao - UFMA Department of Computer Science Campus Do Bacanga Av. dos Portugueses SN Bacanga 65085-580 Sao Luís MA Brazil

ISBN: (数字)9783642315374

ISBN: (纸本)9783642315367

In this work, we present the use of Shannon and Simpson Diversity Indices as texture descriptors for lung nodules in computerized Tomography (CT) images. These indices will be proposed to characterize the nodules into two classes: benign or malignant. The investigation is done using the Support Vector Machine (SVM) for classification in a dataset consisting of 73 nodules, 47 benign and 26 malignant;the results of the methodology were: sensitivity of 85.64%, specificity of 97.89% and accuracy of 92.78%. © 2012 Springer-Verlag.

关键词： Support vector machines

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A brain-machine interface to navigate mobile robots along human-like paths amidst obstacles

A brain-machine interface to navigate mobile robots along hu...

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2012 IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Abdullah Akce James Norton Timothy Bretl Department of Computer Science University of Illinois Urbana-Champaign Urbana IL USA Neuroscience Program University of Illinois Urbana-Champaign Urbana IL USA Department of Aerospace Engineering University of Illinois Urbana-Champaign Urbana IL USA

ISBN: (纸本)9781467317375

This paper presents an interface that allows a human user to specify a desired path for a mobile robot in a planar workspace with noisy binary inputs that are obtained at low bit-rates through an electroencephalograph (EEG). We represent desired paths as geodesics with respect to a cost function that is defined so that each path-homotopy class contains exactly one (local) geodesic. We apply max-margin structured learning to recover a cost function that is consistent with observations of human walking paths. We derive an optimal feedback communication protocol to select a local geodesic-equivalently, a path-homotopy class-using a sequence of noisy bits. We validate our approach with experiments that quantify both how well our learned cost function characterizes human walking data and how well human subjects perform with the resulting interface in navigating a simulated robot with EEG.

关键词： Navigation Cost function Mobile robots Humans Electroencephalography Protocols

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Development Model for Knowledge Management System (KMS) to Improve University's Performance (Case Studies in Indonesia University of Education)

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International Journal of computer science Issues 2012年第1 1-1期9卷 1-6页

作者： Munir Rohendi, Dedi Study Program of Computer Science Faculty of Mathematics and Sciences Education Indonesia University of Education Bandung Indonesia Mechanical Engineering Education Department Faculty of Technology and Vocational Education Indonesia University of Education Bandung Indonesia

Knowledge Management System (KMS) is one way to organize and documented the knowledge of institution. The purpose of this study is to develop a prototype KMS in organizing and documenting the knowledge in the university and to do a document aggregation based on the total number, subjects and writers (lecturers). The development method of KMS prototype is using sharepoints which are able to collect, store and publish all digital data available at the university which can be accessed online. Aggregation is using the percentage between the number of documents, subjects, and writers (lecturers). The aggregation's result between the number of digital files compared to the number of courses and the number of lecturers are each below 10%. In the future, the university still needs to encourage all lecturers or academic community to increase the collection of digital files that can indirectly improve the quality and educational services. © 2012 International Journal of computer science Issues.

关键词： Knowledge based systems

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Plasmonic Complex Fluids of Nematiclike and Helicoidal Self-Assemblies of Gold Nanorods with a Negative Order Parameter

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Physical Review Letters 2012年第8期109卷 088301-088301页

作者： Qingkun Liu Bohdan Senyuk Jianwei Tang Taewoo Lee Jun Qian Sailing He Ivan I. Smalyukh Department of Physics Material Science and Engineering Program Department of Electrical Computer & Energy Engineering and Liquid Crystal Materials Research Center University of Colorado Boulder Colorado 80309 USA Centre for Optical and Electromagnetic Research Zhejiang University Hangzhou 310058 People’s Republic of China Department of Electromagnetic Engineering Royal Institute of Technology S-100 44 Stockholm Sweden Renewable and Sustainable Energy Institute National Renewable Energy Laboratory and University of Colorado Boulder Colorado 80309 USA

We describe a soft matter system of self-organized oblate micelles and plasmonic gold nanorods that exhibit a negative orientational order parameter. Because of anisotropic surface anchoring interactions, colloidal gold nanorods tend to align perpendicular to the director describing the average orientation of normals to the discoidal micelles. Helicoidal structures of highly concentrated nanorods with a negative order parameter are realized by adding a chiral additive and are further controlled by means of confinement and mechanical stress. Polarization-sensitive absorption, scattering, and two-photon luminescence are used to characterize orientations and spatial distributions of nanorods. Self-alignment and effective-medium optical properties of these hybrid inorganic-organic complex fluids match predictions of a simple model based on anisotropic surface anchoring interactions of nanorods with the structured host medium.

关键词： PLASMONS (Physics) COMPLEX fluids MOLECULAR self-assembly GOLD nanoparticles PARAMETER estimation SOFT condensed matter

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Transmission of electromagnetic waves through one-dimensional photonic crystals including anisotropic material and magnetic material

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Rengong Jingti Xuebao/Journal of Synthetic Crystals 2012年第SUPPL. 1期41卷 382-386页

作者： Fang, Yun-Tuan Yang, Li-Xia Han, Ling School of Computer Science and Telecommunication Engineering Jiangsu University Zhenjiang 212013 China Department of Radiation Medicine Second Military Medical University Shanghai 200433 China

In order to control electromagnetic wave polarization, one-dimensional photonic crystal with anisotropic media and a defect consisting of magnetic media were designed. Through 4 × 4 transfer matrix method, we study its transmission properties. At the resonant wavelength, the input of linear polarization makes the output of linear polarization, but the direction of output polarization is different with that of input polarization. The change of the directions of output polarization and input polarization can be either in the same direction or in two reverse directions. The result provides us a new method to control light by light.

关键词： Anisotropic media

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Selective gas sensing with a single graphene-on-silicon transistor

Selective gas sensing with a single graphene-on-silicon tran...

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IEEE Silicon Nanoelectronics Workshop (SNW)

作者： A.A. Balandin S. Rumyantsev G. Liu M.S. Shur R.A. Potyrailo Nano-Device Laboratory Department of Electrical Engineering and Materials Science and Engineering Program Bourns College of Engineering University of California Riverside Riverside CA USA Center for Integrated Electronics and Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY USA Ioffe Physical-Technical Institute Russian Academy of Science Saint Petersburg Russia Chemistry and Chemical Engineering GE Global Research Center Niskayuna NY USA

The low-frequency 1/f noise in graphene transistors has been studied extensively owing to the proposed graphene applications in analog devices and communication systems [1-5]. The studies were motivated by the fact that the low-frequency noise can be up-converted by device nonlinearity and contribute to the phase noise of the system. Similarly, the sensor sensitivity is often limited by the electronic low-frequency noise. Therefore, noise is usually considered as one of the main limiting factors for the device or overall system operation. However, the electronic noise spectrum itself can be used as a sensing parameter increasing the sensor sensitivity and selectivity. Here, we show that vapors of different chemicals produce distinguishably different effects on the low-frequency noise spectra of the graphene-on-Si transistor. Our study showed that some gases change the electrical resistance of pristine graphene devices without changing their low-frequency noise spectra while other gases modify the noise spectra by inducing Lorentzian components with distinctive features. The characteristic corner frequency f C of the Lorentzian noise bulges in graphene devices is different for different chemicals and varies from f C =10 - 20 Hz for tetrahydrofuran to f C =1300 - 1600 Hz for chloroform. We tested the selected set of chemicals vapors on different graphene device samples and alternated different vapors for the same samples. The obtained results indicate that 1/f noise in combination with other sensing parameters can allow one to achieve the selective gas sensing with a single pristine graphene transistor. Our method of gas sensing with graphene does not require graphene surface functionalization or fabrication of an array of the devices with each tuned to a certain chemical. The observation of the Lorentzian components in the vapor-exposed graphene can also help in developing an accurate theoretical description of the noise mechanism in graphene.

关键词： Transistors Sensors Low-frequency noise Chemicals Gases Physics

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A Static Binary Instrumentation Threading Model for Fast Memory Trace Collection

A Static Binary Instrumentation Threading Model for Fast Mem...

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High Performance Computing, Networking, Storage and Analysis (SCC), SC Companion:

作者： Michael A. Laurenzano Joshua Peraza Laura Carrington Ananta Tiwari William A. Ward Roy Campbell Performance Modeling and Characterization Laboratory San Diego Supercomputer Center University of California San Diego USA Department of Computer Science and Engineering University of California San Diego USA High Performance Computing Modernization Program United States Department of Defense USA

In order to achieve a high level of performance, data intensive applications such as the real-time processing of surveillance feeds from unmanned aerial vehicles will require the strategic application of multi/many-core processors and coprocessors using a hybrid of inter-process message passing (e.g. MPI and SHMEM) and intra-process threading (e.g. pthreads and OpenMP). To facilitate program design decisions, memory traces gathered through binary instrumentation can be used to understand the low-level interactions between a data intensive code and the memory subsystem of a multi-core processor or many-core co-processor. Toward this end, this paper introduces the addition of threading support for PMaCs Efficient Binary Instrumentation Toolkit for Linux/x86 (PEBIL) and compares PEBILs threading model to the threading models of two other popular Linux/x86 binary instrumentation platforms - Pin and Dyninst - on both theoretical and empirical grounds. The empirical comparisons are based on experiments which collect memory address traces for the OpenMP-threaded implementations of the NASA Advanced Supercomputing Parallel Benchmarks (NPBs). This work shows that the overhead of collecting full memory address traces for multithreaded programs is higher in PEBIL (7.7x) than in Pin (4.7x), both of which are significantly lower than Dyninst (897x). This work also shows that PEBIL, uniquely, is able to take advantage of interval-based sampling of a memory address trace by rapidly disabling and re-enabling instrumentation at the transitions into and out of sampling periods in order to achieve significant decreases in the overhead of memory address trace collection. For collecting the memory address streams of each of the NPBs at a 10% sampling rate, PEBIL incurs an average slowdown of 2.9x compared to 4.4x with Pin and 897x with Dyninst.

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P2P traffic classification method based on the PNN

P2P traffic classification method based on the PNN

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7th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2011

作者： Chang, Lei Li, Feng Department of Computer Science and Telecommunication Engineering Jiangsu University Zhenjiang Jiangsu Province China

ISBN: (纸本)9781424462520

A method of classifying the P2P traffic based on the Probabilistic Neural Network is proposed. Firstly, we utilize "WinPcap" to capture the network packets and then the core characteristics of the obtained data are analyzed with the help of the tool. Based on the above work, the P2P traffic classification system was realized. It makes full use of the advantage of the PNN which has a high convergence rate and strong classification ability. Meanwhile, the complexity of the system is reduced efficiently. The verification results show that the scheme is better than others in the flexibility, adaptability and accuracy. © 2011 IEEE.

关键词： Neural networks

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QoS-aware service selection in virtualization-based Cloud computing

QoS-aware service selection in virtualization-based Cloud co...

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Asia-Pacific Network Operations and Management Symposium (APNOMS)

作者： Ruozhou Yu Xudong Yang Jun Huang Qiang Duan Yan Ma Yoshiaki Tanaka School of Computer Science Beijing Univ. of Posts and Telecom. Beijing China School of Communication and Information Engineering Chongqing Univ. of Posts and Telecom. Chongqing China Infonnation Science and Technology Department The Pennsylvania State University Abington College Abington Pennsylvania Global Information and Telecommunication Institute Waseda University Tokyo Japan

Cloud computing is one of the most significant latest efforts in the field of information technology, which may change the way how information services are provisioned. In a Cloud environment, different types of resources need to be virtualized as a collection of Cloud services using virtualization technology. End-users in the Cloud are usually provided with customized Cloud services that involve not only different kinds of computing services but also the networks interconnecting those computing services. Therefore, a set of Cloud computing services and the networking services should be modeled as a composite customized Cloud service. In this paper, we present an improved model for Cloud service provisioning based on our previous Network-Cloud proposal, and propose a procedure with several QoS-aware service selection algorithms for composing different services offered by a Cloud. Our analysis with numerical experiments show that the presented algorithms can select services appropriately that deal with different requirements of service provisioning.

关键词： Quality of service Cloud computing Measurement Indium phosphide Numerical models Algorithm design and analysis

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