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10th ACM International Conference on Underwater Networks and systems, WUWNet 2015

作者： Zhang, Xi Zhu, Qixuan Networking and Information Systems Laboratory Dept. of Electrical and Computer Engineering Texas A and M University College StationTX77843 United States

ISBN: (纸本)9781450340366

The multiple-input-multiple-output (MIMO), the orthogonal frequency division multiplexing (OFDM), and the cooperative communication techniques are widely applied in and significantly improved the essential performances of underwater acoustic (UWA) wireless networks in recent years. However, the challenge of reducing the computational complexity while guaranteeing performances of MIMO-OFDM based UWA wireless networks still remains to be resolved. In this paper, we propose a scheme for transmit antenna selection and relay selection to address this problem as follows. Using the channel station information feedback in the MIMO-OFDM based UWA cooperative communication channel, a single transmit antenna for each underwater sensor and one relay node which can maximize the total channel coefficient are selected to transmit data to the corresponding surface destination station, providing a balanced tradeoff between complexity and performance of the network.

关键词： Cooperative communication

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Robust control of flat systems using sliding mode approach

Robust control of flat systems using sliding mode approach

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American Control Conference

作者： Liming Chen Yingmin Jia Junping Du Seventh Research Division and the Center for Information and Control School of Automation Science and Electrical Engineering Beihang University (BUAA) Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications 100876 China

ISBN: (纸本)9781467386838

In this paper, sliding mode approach is used to deal with the robust control of flat systems. Model of flat systems with disturbance and parametric uncertainty is established. A scheme to design sliding mode control laws is proposed to guarantee the robustness of the systems. For the case that the bounds of disturbance and parametric uncertainty are unknown, adaptive controllers are designed to estimate the bounds or unknown parameters. The stability is proved with Lyapunov method. Simulations of a magnetic levitation system are given to illustrate the effectiveness of the approach.

关键词： Sliding mode control Uncertainty Tracking Lyapunov methods Robustness Feedforward neural networks Adaptive control feedforward neural nets Variable structure systems Lyapunov methods Robust control adaptive control Magnetic levitation systems tracking Uncertainty Robustness Sliding mode FLAT adaptive controller disturbance

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Multispectral palmprint identification method using rotation invariant variance measures

Multispectral palmprint identification method using rotation...

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International Conference on information Technology for Organizations Development (IT4OD)

作者： Abdallah Meraoumia Maarouf Korichi Hakim Bendjenna Salim Chitroub LAboratory Of Mathematics Informatics and Systems (LAMIS) University of Larbi Tebessi Tebessa ALGERIA Fac. des nouvelles technologies de l'information et de la communication Lab. de Génie Électrique Ouargla ALGERIA Electronics and Computer Science Faculty Laboratory of Intelligent and Communication Systems Engineering (LISIC) Bab Ezzouar Algiers ALGERIA

Biometric technologies are becoming the foundation of an extensive array of highly secure identification and personal verification solutions. Nowadays, palmprint identification is a novel and one of the most reliable biometrically based technology in applications of personal identification due to its highly stability and uniqueness. In this paper, biometric security system for access control based on multi-spectral palmprint is presented. To represent texture information, rotation invariant variance measures is used. Finally, a hamming distance score is employed to measure the similarity between templates of palmprints during the atching phase. The results show that a rotation invariant variance measure is robust to some extent in rotation of the images. The accuracy and speed of the proposed method can meet the requirements of an online biometric identification.

关键词： Biometrics (access control) Feature extraction Rotation measurement Reliability Security Hamming distance Discrete wavelet transforms

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Stability of a giant connected component in a complex network

arXiv

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arXiv 2017年

作者： Kitsak, Maksim Ganin, Alexander A. Eisenberg, Daniel A. Krapivsky, Pavel L. Krioukov, Dmitri Alderson, David L. Linkov, Igor Department of Physics Northeastern University 110 Forsyth Street 111 Dana Research Center BostonMA02115 United States University of Virginia Department of Systems and Information Engineering CharlottesvilleVA22904 United States U.S. Army Engineer Research and Development Center Contractor ConcordMA01742 United States School of Sustainable Engineering and the Built Environment Arizona State University TempeAZ85281 United States Department of Physics Boston University BostonMA02215 United States Departments of Physics Mathematics and Electrical and Computer Engineering Northeastern University BostonMA02115 United States Operations Research Department Naval Postgraduate School MontereyCA93943 United States U.S. Army Engineer Research and Development Center Environmental Laboratory ConcordMA01742 United States

We analyze the stability of the network’s giant connected component under impact of adverse events, which we model through the link percolation. Specifically, we quantify the extent to which the largest connected component of a network consists of the same nodes, regardless of the specific set of deactivated links. Our results are intuitive in the case of single-layered systems: the presence of large degree nodes in a single-layered network ensures both its robustness and stability. In contrast, we find that interdependent networks that are robust to adverse events have unstable connected components. Our results bring novel insights to the design of resilient network topologies and the reinforcement of existing networked systems. Copyright © 2017, The Authors. All rights reserved.

关键词： Complex networks

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Changes in the EEG amplitude as a biomarker for early detection of Alzheimer's disease

Changes in the EEG amplitude as a biomarker for early detect...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Ali H. Al-nuaimi Emmanuel Jammeh Lingfen Sun Emmanuel Ifeachor Beijing Laboratory of Advanced Information Networks Beijing University of Posts and Telecommunications Beijing P. R. China Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China Shanghai Key Laboratory of Scalable Computing and Systems Shanghai Jiao Tong University Shanghai China

The rapid increase in the number of older people with Alzheimer's disease (AD) and other forms of dementia represents one of the major challenges to the health and social care systems. Early detection of AD makes it possible for patients to access appropriate services and to benefit from new treatments and therapies, as and when they become available. The onset of AD starts many years before the clinical symptoms become clear. A biomarker that can measure the brain changes in this period would be useful for early diagnosis of AD. Potentially, the electroencephalogram (EEG) can play a valuable role in early detection of AD. Damage in the brain due to AD leads to changes in the information processing activity of the brain and the EEG which can be quantified as a biomarker. The objective of the study reported in this paper is to develop robust EEG-based biomarkers for detecting AD in its early stages. We present a new approach to quantify the slowing of the EEG, one of the most consistent features at different stages of dementia, based on changes in the EEG amplitudes (ΔEEG A ). The new approach has sensitivity and specificity values of 100% and 88.88%, respectively, and outperformed the Lempel-Ziv Complexity (LZC) approach in discriminating between AD and normal subjects.

关键词： Electroencephalography Dementia Complexity theory information processing Electrodes

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GPU-based simulation of ocean water using fluid dynamics model and displacement mapping

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ICIC Express Letters 2016年第6期10卷 1239-1245页

作者： Xu, Jie Fu, Jinhua Zhang, Hongtao School of Software Zhengzhou University of Light Industry No. 5 Dongfeng Road Zhengzhou450002 China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450002 China School of Computer and Communication Engineering Zhengzhou University of Light Industry No. 5 Dongfeng Road Zhengzhou450002 China College of Information Engineering Zhengzhou University No. 100 Kexue Ave. Zhengzhou450000 China

Real-time realistic simulation of liquids like ocean water is an important task nowadays in the field of computer graphics. In this paper, we present a novel method to achieve plausible visual results of ocean water at higher rendering rates. Based on evolution of the density and the velocity, we establish the fluid dynamics model to express properties of the fluid and simulate ocean water efficiently. Also we implement the displacement mapping by utilizing the heightmap and design the shading shader on the GPU (Graphics Processing Unit), which gives a realistic appearance in higher rendering speed. The results show that we can acquire realistic rendering effects such as water color, light reflection, caustics and soft shadow, while achieving a relatively faster speed of rendering. © 2016 ISSN.

关键词： Graphics processing unit

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Position Prediction Social-Relationship-Based on Multi-order Markov Model 3

Position Prediction Social-Relationship-Based on Multi-order...

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3rd International Conference on Advanced Cloud and Big Data, CBD 2015

作者： Zou, Yue Zhang, Sanfeng College of Software Engineering Southeast University Nanjing China Key Laboratory of Computer Network and Information Integration in Southeast University Ministry of Education Southeast University Nanjing China

ISBN: (纸本)9781467385374

Opportunistic network mobile user-nodes location prediction can help to collect the data, improve the dynamic network and help to decrease the problems which include the delay, low success rate, high storage space energy consume and so on, which are the results of the blindness in the process of delivery. In this paper, a mobile node location prediction algorithm base on the Multi-Order Markov prediction model as the initial forecast, and then use social-relationship which is closely linked to the node to optimize the algorithm. Experimental results show that the proposed algorithm is better than the single Multi-Order Markov model. © 2015 IEEE.

关键词： Location

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Development of software Tools for Health Status Evaluation of the Geodynamic Observation Network of the Far Eastern Branch of the Russian Academy of Sciences

Development of Software Tools for Health Status Evaluation o...

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2016 International Conference on Sustainable Energy, Environment and information engineering (SEEIE 2016)

作者： Aleksei SOROKIN Sergey KOROLEV Igor URMANOV Nikolay SHESTAKOV Information and Telecom Systems Laboratory Computer CenterFar Eastern BranchRussian Academy of Sciences Department of Geodesy Land Management and CadastreSchool of EngineeringFar Eastern Federal University Institute of Applied Mathematics Far Eastern Branch of the Russian Academy of Sciences

The paper describes the concept and implementation of the software for health status evaluation of the geodynamic observation network of the Far Eastern Branch of the Russian Academy of Sciences(FEB RAS). The operation check of the observation network includes checking the health and availability of all its components, as well as data archive completeness verification.

关键词： Monitoring system Observation network Data archive File GPS

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On physical-layer security over SIMO generalized-K fading channels

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IEEE Transactions on Vehicular Technology 2016年第9期65卷 7780-7785页

作者： Lei, Hongjiang Gao, Chao Shafique Ansari, Imran Guo, Yongcai Pan, Gaofeng Qaraqe, Khalid A. Key Laboratory of Optoelectronics Technology and System Ministry of Education Chongqing University Chongqing400044 China Chongqing Key Laboratory of Mobile Communications Technology Chongqing University of Posts and Telecommunications Chongqing400065 China Key Laboratory of Optoelectronic Technology Systems of Education Ministry of China Chongqing University Chongqing400044 China Department of Electrical and Computer Engineering Texas A and M University at Qatar Doha Qatar School of Electronic and Information Engineering Southwest University Chongqing400715 China

In this paper, we consider the transmission of confidential message through single-input-multiple-output (SIMO) identically and independent generalized-K fading channels in the presence of an eavesdropper. We derive the analytical expressions for the probability of strictly positive secrecy capacity (SPSC), secure outage probability (SOP), and average secrecy capacity (ASC) of SIMO systems. Numerical results are presented and verified via Monte Carlo simulation. © 2015 IEEE.

关键词： Fading channels

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Towards a general framework for optimal role mining: A constraint satisfaction approach 15

Towards a general framework for optimal role mining: A const...

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20th ACM Symposium on Access Control Models and Technologies, SACMAT 2015

作者： Jafarian, Jafar Haadi Takabi, Hassan Touati, Hakim Hesamifard, Ehsan Shehab, Mohamed Department of Software and Information Systems University of North Carolina at Charlotte CharlotteNC United States Department of Computer Science and Engineering University of North Texas DentonTX United States

ISBN: (纸本)9781450335560

Role Based Access Control (RBAC) is the most widely used advanced access control model deployed in a variety of organizations. To deploy an RBAC system, one needs to first identify a complete set of roles, including permission role assignments and role user assignments. This process, known as role engineering, has been identified as one of the costliest tasks in migrating to RBAC. Since many organizations already have some form of user permission assignments defined, it makes sense to identify roles from this existing information. This process, known as role mining, has gained significant interest in recent years and numerous role mining techniques have been developed that take into account the characteristics of the core RBAC model, as well as its various extended features and each is based on a specific optimization metric. In this paper, we propose a generic approach which transforms the role mining problem into a constraint satisfaction problem. The transformation allows us to discover the optimal RBAC state based on customized optimization metrics. We also extend the RBAC model to include more context-aware and application specific constraints. These extensions broaden the applicability of the model beyond the classic role mining to include features such as permission usage, hierarchical role mining, hybrid role engineering approaches, and temporal RBAC models. We also perform experiments to show applicability and effectiveness of the proposed approach. © Copyright 2015 ACM.

关键词： Access control

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