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Near-field Source Localization in 3-D Using Two Parallel Centrally Symmetric Unfold Coprime Array

IEEE Transactions on Wireless Communications 2025年第6期24卷 4738-4749页

作者： Chen, Hua Li, Junjie Yang, Songjie Liu, Wei Eldar, Yonina C. Yuen, Chau Ningbo University Faculty of Electrical Engineering and Computer Science Ningbo315211 China University of Electronic Science and Technology of China National Key Laboratory of Wireless Communications Chengdu610054 China The Hong Kong Polytechnic University Department of Electrical and Electronic Engineering Kowloon Hong Kong Weizmann Institute of Science Faculty of Mathematics and Computer Science Rehovot7610001 Israel Nanyang Technological University School of Electrical and Electronics Engineering Singapore639798 Singapore

Most near-field (NF) localization algorithms cannot deal with the underdetermined case, while those which can are computationally expensive due to employment of fourth-order cumulants. In this work, a low-complexity solution is provided for underdetermined three-dimensional (3-D) NF localization, by employing second-order statistics with a tailored array configuration named two parallel centrally symmetric unfold coprime (TPSC) array. Its implementation can be divided into three stages. Firstly, the proposed algorithm constructs two cross-correlation matrices based on the received array data, which eliminates the non-linear range-related information of NF signals. Secondly, covariance and vectorization operations are applied to these two cross-correlation matrices to form a virtual array with extended aperture. Finally, the two-dimensional (2-D) angle parameters are estimated by the sparse and parametric approach (SPA) and a phase retrieval operation, and then the one-dimensional (1-D) range parameter is achieved by the multiple signal classification (MUSIC) algorithm. One specific feature is that the estimated angle and range parameters are matched automatically. An analysis of the properties of the TPSC array is provided, and an optimal parameter configuration is derived, given that the total number of array elements is fixed. Simulation results demonstrate that the designed TPSC array can achieve underdetermined 3-D NF localization, and deliver enhanced estimation capabilities, surpassing those of established algorithms. © 2002-2012 IEEE.

关键词： Multiple signal classification

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Effective and Efficient Offloading Designs for One-Sided Communication to SmartNICs 31

Effective and Efficient Offloading Designs for One-Sided Com...

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31st Annual IEEE International Conference on High Performance Computing, Data, and Analytics, HiPC 2024

作者： Michalowicz, Ben Suresh, Kaushik Kandadi Subramoni, Hari Abduljabbar, Mustafa Panda, Dhabaleswar K. Poole, Steve Department of Computer Science and Engineering The Ohio State University Columbus United States Los Alamos National Laboratory United States

ISBN: (纸本)9798331509095

One-sided communication is one of many approaches to use for data transfer in High-Performance Computing (HPC) applications. One-sided operations require less demand on parallel programming libraries and do not require HPC hardware to issue acknowledgments of successful data transfer. Thanks to its inherently non-blocking nature, one-sided communication is also useful for improving overlap between communication and compute. As with any non-blocking communication, however, we run into the issue of message progression getting interleaved with computation. With the advent of Smart Network Cards (SmartNIC) such as NVIDIA’s BlueField Data Processing Units (DPU), we can offload the communication and message progression to these devices to improve the overlap of communication and compute. In this paper, we propose designs for efficient offloading of one-sided communication. We show how our designs can be used for offloading both MPI one-sided "put" and "get" and OpenSHMEM’s non-blocking "put" and "get". Using a Block Sparse Matrix-Multiplication Kernel (BSPMM), we show that our designs achieve over 96% improvement in runtime over pure-host execution for communication offload. We also briefly explore initial compute offload ideas for such one-sided kernels and show over 91% improvement in runtime here. © 2024 IEEE.

关键词： Data transfer

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Exponential Decay of Laminated Beam with Nonlinear Time-varying Delay and Microtemperature Effect

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Acta Mathematicae Applicatae Sinica 2025年第1期41卷 270-285页

作者： Imene LARIBI Ali KRELIFA Djamel OUCHENANE Fares YAZID Salah BOULAARAS Salah ZITOUNI Department of Mathematics Djilali Bounaama University of Khemis MilianaKhemis MilianaAlgeria Computer Science and Mathematics Laboratory Amar Telidji UniversityLaghouat 03000Algeria Laboratory of Pure and Applied Mathematics Amar Telidji UniversityLaghouat 03000Algeria Department of Mathematics College of ScienceQassim UniversityBuraydah 51452Saudi Arabia Department of Mathematics and Informatics University Mohamed-Cherif MessaadiaSouk AhrasAlgeria

This research paper addresses a topic of interest to many researchers and engineers due to its effective applications in various industrial *** focuses on the thermoelastic laminated beam model with nonlinear structural damping,nonlinear time-varying delay,and microtemperature *** primary goal is to establish the stability of the *** achieve this,and under suitable hypotheses,we demonstrate energy decay and construct a Lyapunov functional that leads to our results.

关键词： structural damping energy decay laminated beam microtemperature time-varying delay partial differential equations nonlinear equations

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Energy Efficient Transmitter Creation by Consuming Free Energy in Molecular Communication

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IEEE Transactions on Molecular, Biological, and Multi-Scale Communications 2025年第2期11卷 292-303页

作者： Jing, Dongliang Li, Linjuan Cheng, Zhen Lin, Lin Eckford, Andrew W. Northwest A and F University College of Mechanical and Electronic Engineering Yangling China Ministry of Agriculture and Rural Affairs Key Laboratory of Agricultural Internet of Things Yangling China Zhejiang University of Technology School of Computer Science and Technology Hangzhou310023 China Tongji University College of Electronics and Information Engineering Shanghai China York University Department of Electrical Engineering and Computer Science TorontoON Canada

Information molecules play a crucial role in molecular communication (MC), acting as carriers for information transfer. A common approach to get information molecules in MC involves harvesting them from the environment;however, the harvested molecules are often a mixture of various environmental molecules, and the initial concentration ratios in the reservoirs are identical, which hampers high-fidelity transmission techniques such as molecular shift keying (MoSK). This paper presents a transmitter design that harvests molecules from the surrounding environment and stores them in two reservoirs. To separate the mixed molecules, energy is consumed to transfer them between reservoirs. Given limited energy resources, this work explores energy-efficient strategies to optimize transmitter performance. Through theoretical analysis and simulations, we investigate different methods for moving molecules between reservoirs. The results demonstrate that transferring higher initial concentration molecules enhances transmitter performance, while using fewer molecules per transfer further improves efficiency. These findings provide valuable insights for optimizing MC systems through energy-efficient molecule transfer techniques. © 2015 IEEE.

关键词： Transmitters

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Machine Learning-Based Prediction of Flight Punctuality and Delays 7

Machine Learning-Based Prediction of Flight Punctuality and ...

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7th IEEE International Congress on Information science and Technology, CiSt 2023

作者： Alla, Hajar Moumoun, Lahcen Balouki, Youssef Hassan First University of Settat Laboratory of Mathematics Computer and Engineering Sciences Mathematics and Computer Science Department Faculty of Sciences and Techniques Settat26000 Morocco

ISBN: (纸本)9781665461337

Air traffic demand has recently expanded considerably, creating worries about saturation, congestion, and queuing. Flight delays impact transportation networks, resulting in operational errors, higher economic losses for airlines, and consumer complaints and discontent. As a result, aviation authorities, universities, and researchers are increasingly interested in developing preventive techniques to mitigate the impact of aircraft delays. In this study, we created a predictive model to estimate airline delays for domestic flights in the United States through a survey of pilots, air traffic controllers, airport leaders, airport personnel, and passengers. Data for all the year 2018 were utilized with powerful Machine Learning algorithms such as feed-forward Neural Network, Random Forest, Gradient Boosting and Decision Trees. The conventional attributes that influence on flight delays were taken from the database used. To increase the performance of the suggested model, we created and introduced more variables that, as far as we know, had never been considered in prior research. As a consequence, with the incorporation of the conventional and suggested features at the same time, the model proved capable to estimate flight delays with an R-squared of 98.33% for the neural network. © 2023 IEEE.

关键词： Air transportation

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Performance Evaluation of Evolutionary Multi-Objective Algorithms Using Real-World Problems with an Additional Total Constraint Violation Objective 13

Performance Evaluation of Evolutionary Multi-Objective Algor...

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13th IEEE Congress on Evolutionary Computation, CEC 2024

作者： Nan, Yang Ishibuchi, Hisao Shu, Tianye Southern University of Science and Technology Guangdong Provinial Key Laboratory of Brain-inspired Intelligent Computation Department of Computer Science and Engineering Shenzhen518055 China

ISBN: (纸本)9798350308365

In the community of evolutionary multi-objective optimization (EMO), one important issue is the choice of test problems for performance evaluations of EMO algorithms. This is because performance evaluation results of EMO algorithms totally depend on the choice of test problems. This means that the research on new EMO algorithm design is also influenced by the choice of test problems. Recently, researchers have started to use real-world problems for performance evaluation of EMO algorithms. Among them, a real-world problem suite RE has attracted much attention and has been used in many studies. However, most RE problems have been created from real-world constrained problems by using the total constraint violation as an additional objective. That is, the original versions of most RE problems are not unconstrained multi-objective problems. Thus, even when a good solution set is obtained by an EMO algorithm for an RE problem, it can be a poor solution set for its original constrained problem. This is because many well-distributed solutions over the entire Pareto front of the transformed unconstrained problem are usually infeasible solutions of the original constrained problem with some positive total constraint violation values. In this paper, we examine whether good solution sets obtained by EMO algorithms for RE problems are also good solution sets for their original constrained problems. Our experimental results show that good solutions sets for most RE problems include good feasible solution sets for their original constrained problems. However, for a few RE problems, good solution sets obtained by some high performance EMO algorithms do not include good feasible solution sets. Our results show that high-performance EMO algorithms on most RE problems generate good feasible solution sets for their original constrained versions. This observation supports the usefulness of those RE problems as test problems for performance evaluation of EMO algorithms. © 2024 IEEE.

关键词： Optimization algorithms

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Intermittent Fault Diagnosis of Split-Star Networks and its Applications

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IEEE Transactions on Parallel and Distributed Systems 2023年第4期34卷 1253-1264页

作者： Song, Jiankang Lin, Limei Huang, Yanze Hsieh, Sun-Yuan Fujian Normal University College of Computer and Cyber Security Key Laboratory of Network Security and Cryptology Fuzhou Fujian350117 China Fujian University of Technology School of Computer Science and Mathematics Fuzhou Fujian350118 China National Cheng Kung University Department of Computer Science and Information Engineering Tainan701 Taiwan

With the rapid increase of the number of processors in multiprocessor systems and the fast expansion of interconnection networks, the reliability of interconnection network is facing severe challenges, where the fast recognition of fault processors is crucial. In practice, most of the processor failures are intermittent faults. In this article, we first determine the intermittent fault diagnosability t I PMC(S n 2) tIPMC(Sn2) of n-dimensional split-star network Sn2 under the PMC model. In addition, we propose a fast intermittent fault probabilistic diagnosis algorithm FIFPDPMC to identify the nodes with intermittent fault in the n-dimensional split-star network Sn2 under the PMC model, and we calculated the time complexity of the algorithm FIFPDPMC. Then we implement the algorithm FIFPDPMC in the IoT-based wireless sensor network (IoTWSN) and a randomly generated network (RGN) under different number of nodes with intermittent fault, and we evaluate the performance and efficiency of the algorithm FIFPDPMC in terms of accuracy, precision, recall (TPR), F1, G-mean, FPR, TNR and FNR. Experimental results show that, as the number of stages of executing the algorithm FIFPDPMC increases, the number of nodes with intermittent fault being diagnosed by the algorithm FIFPDPMC increases, which implies that the algorithm FIFPDPMC has good performance and efficiency in both IoTWSN and RGN. © 1990-2012 IEEE.

关键词： Fault detection

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Requests Satisfaction in a Virtual Web Services System

Requests Satisfaction in a Virtual Web Services System

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2023 International Conference on Decision Aid sciences and Applications, DASA 2023

作者： Bernine, Nassima Nacer, Hassina Adel-Aissanou, Karima Aissani, Djamil University of Bejaia LaMOS Research Unit Operational Research Department Algeria University of Science and Technology 'USTHB' Movep Laboratory Computer Science Department Algiers Algeria University of Bejaia LaMOS Research Unit Computer Science Department Algeria

ISBN: (纸本)9798350342055

This paper defines analytical models for a Web services system, with two stations on tandem queue, for evaluating the request satisfaction involving two exponential servers, each having its own waiting queue. The first waiting queue is unlimited. The arrivals of requests follow a Poisson process, and after service completion, they can either leave the system or join the second line. The obtained model has not a product form;and the only way to obtain its performances is by computing its steady-state probabilities. To this end, we must use balance equations that give us unlimited equations with unlimited unknowns. In this case the only solution is the use of approximation methods. In this paper we use the truncation method to approximate the performances of our model with the performances of a truncated model. We also use the strong stability method to estimate the error of this approximation. Furthermore, we compute the system's response time, and the average number of clients in the system in terms of the arrival rate of clients requests. © 2023 IEEE.

关键词： Websites

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Dynamics of synthetic yeast chromosome evolution shaped by hierarchical chromatin organization

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National science Review 2023年第5期10卷 240-250页

作者： Sijie Zhou Yi Wu Yu Zhao Zhen Zhang Limin Jiang Lin Liu Yan Zhang Jijun Tang Ying-Jin Yuan Frontiers Science Center for Synthetic Biology (Ministry of Education) Tianjin University Key Laboratory of Systems Bioengineering(Ministry of Education) School of Chemical Engineering and TechnologyTianjin University Institute for Systems Genetics NYU Langone Health School of Computer Science and Technology College of Intelligence and ComputingTianjin University Epigenetic Group Frasergen Bioinformatics Co.Ltd. Department of Computer Science University of South Carolina

Synthetic genome evolution provides a dynamic approach for systematically and straightforwardly exploring evolutionary *** Chromosome Rearrangement and Modification by LoxP-mediated Evolution(SCRaMbLE) is an evolutionary system intrinsic to the synthetic yeast genome that can rapidly drive structural ***,we detect over 260 000 rearrangement events after the SCRaMbLEing of a yeast strain harboring 5.5 synthetic yeast chromosomes(synⅡ,synⅢ,synⅤ,circular synⅥ,synⅨR and synⅩ).Remarkably,we find that the rearrangement events exhibit a specific landscape of *** further reveal that the landscape is shaped by the combined effects of chromatin accessibili and spatial contact *** rearrangements tend to occur in 3D spatially proximal and chromatin-accessible *** enormous numbers of rearrangements mediated by SCRaMbLE provide a driving force to potentiate directed genome evolution,and the investigation of the rearrangement landscape offers mechanistic insights into the dynamics of genome evolution.

关键词： synthetic biology genome rearrangement hierarchical chromatin organization synthetic yeast genome SCRaMbLE Saccharomyces cerevisiae

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Research on active defense decision-making method for cloud boundary networks based on reinforcement learning of intelligent agent

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High-Confidence Computing 2024年第2期4卷 50-61页

作者： Huan Wang Yunlong Tang Yan Wang Ning Wei Junyi Deng Zhiyan Bin Weilong Li School of Computer Science and Technology Guangxi University of Science and TechnologyLiuzhou 545000China Liuzhou Key Laboratory of Big Data Intelligent Processing and Security Liuzhou 545000China Guangxi Education System Network Security Monitoring Center Liuzhou 545000China Center of Graphics and Information Guangxi ECO-Engineering Vocational&Technical CollegeLiuzhou 545004China

The cloud boundary network environment is characterized by a passive defense strategy,discrete defense actions,and delayed defense feedback in the face of network attacks,ignoring the influence of the external environment on defense decisions,thus resulting in poor defense ***,this paper proposes a cloud boundary network active defense model and decision method based on the reinforcement learning of intelligent agent,designs the network structure of the intelligent agent attack and defense game,and depicts the attack and defense game process of cloud boundary network;constructs the observation space and action space of reinforcement learning of intelligent agent in the non-complete information environment,and portrays the interaction process between intelligent agent and environment;establishes the reward mechanism based on the attack and defense gain,and encourage intelligent agents to learn more effective defense *** designed active defense decision intelligent agent based on deep reinforcement learning can solve the problems of border dynamics,interaction lag,and control dispersion in the defense decision process of cloud boundary networks,and improve the autonomy and continuity of defense decisions.

关键词： Active defense decision-making Cloud boundary network security Intelligent agent reinforcement learning Offensive and defensive game

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