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International Symposium on Agents, Multi-Agent Systems and Robotics (ISAMSR)

作者： Chengliang Liang Ning Ye Reza Malekian Ruchuan Wang College of Computer Nanjing University of Posts and Telecommunications Nanjing China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing China Department of Electrical Electronic and Computer Engineering University of Pretoria Pretoria South Africa Key Lab of Broadband Wireless Communication and Sensor Network Nanjing University of Post and Telecommunications Nanjing China

In this paper, we proposed a hybrid encryption algorithm in order to solve the security problems on lightweight data on the cloud storage service. This paper first improves the RSA algorithm in the cloud environment by increasing the length of the RSA key to an extent that it can quickly generate big primes. Then, we merge AES and RSA algorithms on the basis of the improved RSA algorithm. This is called a hybrid encryption algorithm which is suitable for security of the lightweight data in cloud storage environment in order to further enhance the confidentiality of data in the cloud. The experimental result shows that the hybrid encryption algorithm has advantages of fast encryption and decryption, more secure, and it is also able to settle the security problems of users' lightweight data in a certain extent.

关键词： Encryption Cloud computing Algorithm design and analysis Public key Access control

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5G entering into a new era [Guest Editorial]

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China Communications 2017年第12期14卷 iv-vi页

作者： Feifei Gao Changle Li Jun Fang Kaizhi Huang Zhi Quan Chengwen Xing Jianhua Zhang Zhongshan Zhang Liqiang Zhao Yulong Zou Department of Automation Tsinghua University Beijing China State Key Laboratory of Integrated Services Networks Xidian University University of Eletronic Science and Technology of China National Digital Switching System Engineering & Technological Research Center Zhengzhou China College of Information Engineering Shenzhen University School of Information and Electronics Beijing Institute of Technology Beijing University of Posts and Telecommunication School of Computer and Communication Engineering in the University of Science and Technology Beijing State Key Lab. of Integrated Service Networks Xidian University Nanjing University of Posts and Telecommunications (NUPT) Nanjing China

The ever increasing wireless data services, such as imaging, video, audio, multimedia, etc., have demands for the very high speed wireless communications and network, which are unfortunately a bottleneck when combining with the wireline core network. Users' are now expecting high quality of experience with low-cost devices, ubiquitous connectivity, energy efficiency, high reliability, or even ultra-low latency if a vehicle terminal is applied.

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On the performance of spatial multiplexing in MIMO-WCDMA networks with Principal Component Analysis at the reception 9

On the performance of spatial multiplexing in MIMO-WCDMA net...

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9th European Conference on Antennas and Propagation, EuCAP 2015

作者： Gkonis, Panagiotis K. Kapsalis, Andrew P. Zekios, Constantinos L. Kaklamani, Dimitra I. Venieris, Iakovos S. Chrysomalis, Michael T. Kyriakou, George A. National Technical University of Athens School of Electrical and Computer Engineering Intelligent Communications and Broadband Networks Laboratory 9 Heroon Polytechneioy str Zografou Athens Greece Democritus University of Thrace Department of Electrical and Computer Engineering Microwaves Lab. Xanthi Greece

ISBN: (纸本)9788890701856

The goal of the study presented in this work is to evaluate the performance of MIMO-WCDMA networks in spatial multiplexing transmission mode. In this context, different bit streams are transmitted from each transmit antenna, in a wireless environment with multipath propagation. Due to the inherent complexity of the network orientation (increased number of active users, multipath components, and transmitted bit streams) a simulation platform has been developed executing independent Monte Carlo (MC) simulations in parallel. Moreover, a proposed transmission algorithm is evaluated as well, which is based on Principal Component Analysis (PCA) at the reception. As results indicate, for a 4×2 MIMO orientation (four transmit antennas and two receive antennas) in a multipath propagation environment with 6 multipath components, the selection of the first 5 eigenvectors (i.e. eigenvectors that correspond to the first 5 maximum eigenvalues) can reconstruct the received signal introducing minimum error. © 2015 EurAAP.

关键词： Principal component analysis

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Adaptive optimal control of connected vehicles 10

Adaptive optimal control of connected vehicles

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10th International Workshop on Robot Motion and Control, RoMoCo 2015

作者： Gao, Weinan Jiang, Zhong-Ping Ozbay, Kaan Control and Networks Lab Department of Electrical and Computer Engineering Polytechnic School of Engineering New York University BrooklynNY11201 United States Department of Civil and Urban Engineering New York University BrooklynNY11201 United States

ISBN: (纸本)9781479970438

In this paper, a data-driven non-model-based approach is proposed for the adaptive optimal control of connected vehicles, comprised of n human-driven vehicles only transmitting motional data and an autonomous vehicle in the tail receiving the broadcasted data from preceding vehicles by wireless vehicle-to-vehicle (V2V) communication devices. An optimal control problem is formulated to minimize the errors of distance and velocity and to optimize the fuel usage. By employing adaptive dynamic programming (ADP) technique, optimal controllers are obtained by online approximation for the connected vehicles without knowing the system dynamics. The effectiveness of the proposed approach is demonstrated via online learning control of the connected vehicles in two scenarios. © 2015 IEEE.

关键词： Vehicles

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Publisher Correction: MEMOTE for standardized genome-scale metabolic model testing

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Nature biotechnology 2020年第4期38卷 504页

作者： Christian Lieven Moritz E Beber Brett G Olivier Frank T Bergmann Meric Ataman Parizad Babaei Jennifer A Bartell Lars M Blank Siddharth Chauhan Kevin Correia Christian Diener Andreas Dräger Birgitta E Ebert Janaka N Edirisinghe José P Faria Adam M Feist Georgios Fengos Ronan M T Fleming Beatriz García-Jiménez Vassily Hatzimanikatis Wout van Helvoirt Christopher S Henry Henning Hermjakob Markus J Herrgård Ali Kaafarani Hyun Uk Kim Zachary King Steffen Klamt Edda Klipp Jasper J Koehorst Matthias König Meiyappan Lakshmanan Dong-Yup Lee Sang Yup Lee Sunjae Lee Nathan E Lewis Filipe Liu Hongwu Ma Daniel Machado Radhakrishnan Mahadevan Paulo Maia Adil Mardinoglu Gregory L Medlock Jonathan M Monk Jens Nielsen Lars Keld Nielsen Juan Nogales Intawat Nookaew Bernhard O Palsson Jason A Papin Kiran R Patil Mark Poolman Nathan D Price Osbaldo Resendis-Antonio Anne Richelle Isabel Rocha Benjamín J Sánchez Peter J Schaap Rahuman S Malik Sheriff Saeed Shoaie Nikolaus Sonnenschein Bas Teusink Paulo Vilaça Jon Olav Vik Judith A H Wodke Joana C Xavier Qianqian Yuan Maksim Zakhartsev Cheng Zhang Novo Nordisk Foundation Center for Biosustainability Technical University of Denmark Lyngby Denmark. Systems Biology Lab Amsterdam Institute of Molecular and Life Sciences (AIMMS) Vrije Universiteit Amsterdam Amsterdam the Netherlands. BioQUANT/COS Heidelberg University Heidelberg Germany. Ecole Polytechnique Fédérale de Lausanne Laboratory of Computational Systems Biotechnology Lausanne Switzerland. iAMB-Institute of Applied Microbiology ABBt-Aachen Biology and Biotechnology RWTH Aachen University Aachen Germany. Department of Bioengineering University of California La Jolla CA USA. Department of Chemical Engineering and Applied Chemistry University of Toronto Toronto Ontario Canada. Human Systems Biology Laboratory Instituto Nacional de Medicina Genomica & Coordinación de la Investigación Científica-Red de Apoyo a la Investigación UNAM Mexico City Mexico. Institute for Systems Biology Seattle WA USA. Computational Systems Biology of Infection and Antimicrobial-Resistant Pathogens Institute for Biomedical Informatics (IBMI) Tübingen Germany. Department of Computer Science University of Tübingen Tübingen Germany. German Center for Infection Research (DZIF) partner site Tübingen Tübingen Germany. Australian Institute for Bioengineering and Nanotechnology The University of Queensland Brisbane Queensland Australia. Argonne National Laboratory Lemont IL USA. Analytical Biosciences Division of Systems Biomedicine and Pharmacology Leiden Academic Centre for Drug Research Leiden University Leiden the Netherlands. Department of Systems Biology Centro Nacional de Biotecnología Consejo Superior de Investigaciones Científicas (CNB-CSIC) Madrid Spain. Centro de Biotecnología y Genómica de Plantas (CBGP UPM-INIA) Universidad Politécnica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA) Madrid Spain. Department of Animal and Aquacultural Sciences Faculty of Biosciences Norwegian University of Life Sciences Oslo Norway

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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An intelligent platform for effective management of time-consuming electromagnetic simulation problems

An intelligent platform for effective management of time-con...

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作者： Kapsalis, Andreas P. Gkonis, Panagiotis K. Zekios, Constantinos L. Kaklamani, Dimitra I. Venieris, Iakovos S. Kyriakou, George A. Intelligent Communications and Broadband Networks Laboratory School of Electrical and Computer Engineering National Technical University of Athens 9 Heroon Polytechneioy Str. Zografou Athens Greece Microwaves Lab. Department of Electrical and Computer Engineering Democritus University of Thrace Xanthi Greece

ISBN: (纸本)9781934142301

Modern simulation applications that carry out large scale iterative processes, such as Monte-Carlo simulations, or manipulate large data structures, tend to be extremely time-consuming due to the shortage of computational resources or the inherent nature of the simulation itself. Typical simulations can take up to several days to complete on conventional systems, while high-end supercomputers can be cost-prohibitive. Therefore, the need for effective parallelization of software execution and resource management is more imperative. The goal of this paper is to present a fully-distributed platform that enables software simulations to be executed within user-acceptable time periods, by predicting the resource requirements of each simulation. In this context, the platform analyzes files that contain historical data about past executions of the particular simulation. Processor and memory utilization, overall execution time, level of parallelization and distributed execution are some of the information collected and used by an efficient training algorithm, in order to determine the optimal amount of resources to be allocated in a particular simulation. The training algorithm applies several machine-learning techniques such as multi-linear regression in order to efficiently predict the resource vector that will satisfy the user requirements.

关键词： Supercomputers

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Patterns of somatic structural variation in human cancer genomes (vol 578, pg 112, 2020)

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NATURE 2023年第7948期614卷 E38-E38页

作者： Li, Yilong Roberts, Nicola D. Wala, Jeremiah A. Shapira, Ofer Schumacher, Steven E. Kumar, Kiran Khurana, Ekta Waszak, Sebastian Korbel, Jan O. Haber, James E. Imielinski, Marcin Weischenfeldt, Joachim Beroukhim, Rameen Campbell, Peter J. Cancer Genome Project Wellcome Trust Sanger Institute Hinxton UK Totient Inc Cambridge MA USA Wellcome Sanger Institute Wellcome Genome Campus Hinxton UK Department of Haematology University of Cambridge Cambridge UK Cambridge University Hospitals NHS Foundation Trust Cambridge UK Korea Advanced Institute of Science and Technology Daejeon South Korea Department of Zoology Genetics and Physical Anthropology University of Santiago de Compostela Santiago de Compostela Spain Centre for Research in Molecular Medicine and Chronic Diseases (CIMUS) University of Santiago de Compostela Santiago de Compostela Spain The Biomedical Research Centre (CINBIO) University of Vigo Vigo Spain Centre for Research in Molecular Medicine and Chronic Diseases (CiMUS) Universidade de Santiago de Compostela Santiago de Compostela Spain Department of Zoology Genetics and Physical Anthropology (CiMUS) Universidade de Santiago de Compostela Santiago de Compostela Spain The Biomedical Research Centre (CINBIO) Universidade de Vigo Vigo Spain The Broad Institute of Harvard and MIT Cambridge MA USA Bioinformatics and Integrative Genomics Harvard University Cambridge MA USA Department of Cancer Biology Dana-Farber Cancer Institute Boston MA USA Broad Institute of MIT and Harvard Cambridge MA USA Department of Medical Oncology Dana-Farber Cancer Institute Boston MA USA Harvard Medical School Boston MA USA Massachusetts General Hospital Center for Cancer Research Charlestown MA USA Dana-Farber Cancer Institute Boston MA USA Department of Biostatistics and Computational Biology Dana-Farber Cancer Institute and Harvard Medical School Boston MA USA Weill Cornell Medical College New York NY USA Department of Physiology and Biophysics Weill Cornell Medicine New York NY USA Institute for Computational Biomedicine Weill Cornell Medicine New York NY USA Controlled Department and Institution New York NY USA Englander Institute for Precision Medicine Weill Cornell Medicine Ne

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Enhancement of wireless bandwidth utilization through user's QoE

Enhancement of wireless bandwidth utilization through user's...

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IEEE Conference on Wireless Communications and Networking

作者： Harsha Chenji Zygmunt J. Haas University of Texas at Dallas School of Electrical Engineering and Computer Science Ohio University Wireless Networks Lab Cornell University

ISBN: (纸本)9781479984077

Quality of Experience (QoE) measures a user's satisfaction with a service delivery. However QoE is a very subjective measure and is context dependent, making it difficult for a service provider to estimate and optimize user's QoE. In this paper, we look at how the provider can maximize QoE by optimizing wireless bandwidth allocation, especially for mobile cloud applications. The multi-stimuli version of the “IQX” hypothesis is used to model the QoE of a user, and this model is used in formulation of a nonlinear optimization problem, which is solved using NSGA-II. Simulations using realistic parameters based on 802.11n demonstrate a reduction in the required bandwidth by as much as 33% (i.e., more users can be accommodated by the system), while maintaining the same level of QoE. Our evolutionary-algorithm-based approach is able to discover the optimal bandwidth allocation. The problem of equalizing user QoE is explored and a tradeoff between QoE and fairness is studied, while being characterized using a Pareto front.

关键词： Quality of service Bandwidth Optimized production technology Signal to noise ratio Modulation Resource management Indexes

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Five-partite entanglement generation in a high-Q microresonator

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Physical Review A 2015年第4期91卷 042311-042311页

作者： Yutian Wen Xufei Wu Rongyu Li Qiang Lin Guangqiang He State Key Lab of Advanced Optical Communication Systems and Networks Department of Electronic Engineering Shanghai Jiao Tong University Shanghai 200240 China Department of Electrical and Computer Engineering University of Rochester New York 14627 USA

We propose to produce five-partite entanglement via cascaded four-wave mixing in a high-Q microresonator that may become a key to future one-way quantum computation on chip. A theoretical model is presented for the underlying continuous-variable entanglement among the generated comb modes that is expansible to more complicated scenarios. We analyze the entanglement condition when the van Loock and Furusawa criteria are violated and discuss the device parameters for potential experimental realization that may be utilized to build an integrated compact five-partite entanglement generator. The proposed approach exhibits great potential for future large-scale integrated full optical quantum computation on chip.

关键词： MICRORESONATORS (Optoelectronics) COMB filters QUANTUM computing QUANTUM systems QUANTUM states

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Data-driven Robust Optimal Control Design for Uncertain Cascaded Systems Using Value Iteration

Data-driven Robust Optimal Control Design for Uncertain Casc...

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IEEE Annual Conference on Decision and Control

作者： Tao Bian Zhong-Ping Jiang Control and Networks Lab Department of Electrical and Computer Engineering Polytechnic School of Engineering New York University 5 Metrotech Center Brooklyn NY 11201 USA

ISBN: (纸本)9781479978878

In this paper, a new non-model-based control design is proposed to solve the H~∞ control problem for linear continuous-time systems. Our first contribution is to develop a robust control design by combining the zero-sum differential game theory with the gain assignment technique together. Compared with traditional game theory-based approaches, the obtained result allows us to assign arbitrarily the input-to-output L~2 gain for a class of continuous-time linear cascaded systems. Moreover, the presence of dynamic uncertainty is tackled using the small-gain theory. Our second contribution is to give a new non-model-based robust adaptive dynamic programming (RADP) algorithm. In sharp contrast to the existing methods, the obtained algorithm is based on continuous-time value iteration (VI), and an initial stabilizing control policy is no longer required. Finally, an example of a power system is adopted to illustrate the effectiveness of the obtained algorithm.

关键词： design control Robust optimal control cascade systems cascades Continuous time systems iterative methods power systems data driven

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