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检索条件"任意字段=10th International Conference on Parallel and Distributed Computing, Applications and Technologies"

共 1765 条记录，以下是121-130 订阅

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A Droop Control Method Based on Adaptive Virtual Impedance for parallel Control of distributed Generators

A Droop Control Method Based on Adaptive Virtual Impedance f...

引用

international conference on Power Electronics Systems and applications (ICPESA)

作者： Taozi Mo Neng Li Zhang Zhang Junhua Li Zhenghong Zhang Jianfei Pan College of Mechatronics and Control Engineering Shenzhen University Shenzhen China

ISBN: (数字)9798350365801

ISBN: (纸本)9798350365818

Traditional droop control method cannot achieve effective reactive power distribution when distributed generators are paralleled. therefore, this paper proposes a droop control scheme based on adaptive virtual impedance to solve the problem of uneven distribution of reactive power. the proposed method calculates the impedance difference between the two distributed power sources based on the feedback of line current and voltage, and introduces the adaptive virtual impedance compensation scheme accordingly. the proposed scheme reduces the amount of data to be transmitted during communication, and the system design is simple. the simulation in this paper demonstrate that, the proposed method reduces the percentage error in reactive power distribution from 10.5% to 0.4% under load variations and from 21% to 0.1%, when there is a sudden change in the impedance of one of the lines.

关键词： Reactive power Simulation Load management Generators Real-time systems Power electronics Impedance

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Energy Storage technologies for Hybrid Electric Vehicles 10

Energy Storage Technologies for Hybrid Electric Vehicles

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10th IEEE international conference on Power Electronics, Drives and Energy Systems (IEEE PEDES)

作者： Raut, Kiran Shendge, Asha Chaudhari, Jagdish Lamba, Ravita G H Raisoni Univ Dept Elect Engn Amrawati India MNIT Jaipur Dept Elect Engn Jaipur Rajasthan India

ISBN: (纸本)9781665455664

Electric vehicles (EVs) have recently received a lot of attention, as has the advancement of battery technology. Despite substantial advancements in battery technology, the existing batteries do not fully match the energy demands of EV power usage. One of the major concerns is non- monotonic energy consumption, which is accompanied by rapid variations during the battery discharge process. this is extremely damaging to the battery's electrochemical process. A viable approach is to combine the battery with a super capacitor, which is essentially an electrochemical cell with a similar design but with a greater rate capability and improved cyclic stability. In this arrangement, the super capacitor may supply the extra energy needed when the battery fails. Aside from the battery and super capacitor as independent elements, creating the architecture of the related hybrid system from an electrical engineering perspective is important. this article goes through the various energy storage technologies for hybrid electric vehicles as well as their advantages and disadvantages. It demonstrates that hybrid energy system technologies based on batteries and super capacitors are best suited for electric vehicle applications. In these paper lead acid battery is used as energy storage device in electric vehicle. In addition of super capacitor with battery, increases efficiency of electric vehicle and life of electric vehicle. this paper also examines the hybrid energy storage system's basic parallel design.

关键词： Battery Super capacitor Electric Vehicle

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Simulation of counter-UAV tactics against drone swarms: a serious game approach

Simulation of counter-UAV tactics against drone swarms: a se...

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international conference on Recent Advances in Space technologies (RAST)

作者： Gökhan Karadeniz Ahmet Ozcan Mehmet Bayram Gökhan Ince Game and Interaction Technologies Istanbul Technical Unviersity Istanbul Turkiye Computer Engineering Dept National Defence University Istanbul Turkiye Industrial Engineering Dept National Defence University Istanbul Turkiye Computer Engineering Dept. Istanbul Technical University Istanbul Turkiye

the increasing use of drone swarms in civil and military applications has led to a rise in research on swarm creation, formation, control, and innovative usage areas. In this study, a simulator was designed and implemented to verify the effectiveness of various tactics against a swarm of attacking drones aimed at disabling a high-voltage power line. We tested four different scenarios with varying degrees of complexity to evaluate the performance of our drone swarm defense strategy. the first scenario involved evenly distributed attacking and defending drones, while in the second scenario, attacking drones concentrated their attack on randomly selected poles. In the third scenario, attacking drones were evenly distributed, and defending drones were launched where they were needed by a drone launcher. the fourth scenario was a combination of the second and third scenarios. the results showed that the success rate of defense varied depending on factors such as drone distribution and the overall defensive response time. this study demonstrates the value of using simulations to test and refine drone swarm tactics and formations in real-world scenarios.

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distributed EK-NN Classification 7th

Distributed EK-NN Classification

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7th international conference on Belief Functions (BELIEF)

作者： Gong, Chaoyu Su, Zhi-gang Wang, Qian You, Yang Natl Engn Res Ctr Power Generat Control & Safety Nanjing 210096 Peoples R China Southeast Univ Sch Energy & Environm Nanjing 210096 Peoples R China Jiangsu Univ Sci & Technol Sch Energy & Power Zhenjiang 212003 Jiangsu Peoples R China Natl Univ Singapore Sch Comp Singapore 119077 Singapore

ISBN: (纸本)9783031178016;9783031178009

For big data, the Evidential K-Nearest Neighbor (EK-NN) classifier is still impractical due to the restrictions of time and memory. In both the training and testing stage, searching for K closest neighbors requires intensive quadratic computation and has to be repeated for each input sample. To address this issue, we propose a distributed EK-NN classifier, named Global Exact EK-NN, for fast processing with Apache Spark. We compare the proposed classifier, which can be scaled to 48 nodes (2688 cores) at a cluster named the Texas Advanced computing Center Frontera, with several other parallel K-NN based algorithms over 4 large datasets. Our method is able to achieve state-of-the-art scaling efficiency and accuracy on the large datasets having more than 10 million samples.

关键词： EK-NN Apache spark distributed calculation

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N-way Gysels Modeling Using Transmission Line-based Wave Digital Framework

N-way Gysels Modeling Using Transmission Line-based Wave Dig...

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Electrical, Electronic and computing Engineering (IcETRAN), international conference on

作者： Biljana P. Stošić Marin Nedelchev Department of Telecommunications University of Niš Faculty of Electronic Engineering Niš Serbia Department of Radiocomm. and Video Technologies Faculty of Telecommunications Technical University of Sofia Sofia Bulgaria

the transmission line (TL)-based wave digital framework can be used to simplify engineering of complex microwave circuits like power dividers/splitters. In this paper, N-way Gysel power dividers (GPDs) are studied by derivation of the TL-based equivalent wave digital model (WDM) followed by utilizing MATLAB/Simulink environment. Based on this approach, a code is developed that predicts the scattering parameters of the analyzed GPD structures. Planar GPD structures containing 3-ways or 4-ways are investigated and a method for development of an equivalent circuit for the multiport parallel adaptor is presented. the analysis of the studied GPD structures begins with a simple geometry and can be extended to more complex geometries very easily. the simulation results are evaluated against TL-based simulations from Advanced Design System software. Inclusion of the multiport adaptor models with one port being dependent against the models with all independent ports reduces the total number of multipliers used in WDMs.

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An Elasticity Description Language for Task-parallel Cloud applications 10

An Elasticity Description Language for Task-parallel Cloud A...

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10th international conference on Cloud computing and Services Science (CLOSER)

作者： Haussmann, Jens Blochinger, Wolfgang Kuechlin, Wolfgang Reutlingen Univ Parallel & Distributed Comp Grp Reutlingen Germany Univ Tubingen Symbol Computat Grp Tubingen Germany

ISBN: (纸本)9789897584244

In recent years, the cloud has become an attractive execution environment for parallel applications, which introduces novel opportunities for versatile optimizations. Particularly promising in this context is the elasticity characteristic of cloud environments. While elasticity is well established for client-server applications, it is a fundamentally new concept for parallel applications. However, existing elasticity mechanisms for client-server applications can be applied to parallel applications only to a limited extent. Efficient exploitation of elasticity for parallel applications requires novel mechanisms that take into account the particular runtime characteristics and resource requirements of this application type. To tackle this issue, we propose an elasticity description language. this language facilitates users to define elasticity policies, which specify the elasticity behavior at both cloud infrastructure level and application level. Elasticity at the application level is supported by an adequate programming and execution model, as well as abstractions that comply with the dynamic availability of resources. We present the underlying concepts and mechanisms, as well as the architecture and a prototypical implementation. Furthermore, we illustrate the capabilities of our approach through real-world scenarios.

关键词： Cloud computing High Performance computing parallel Application Elasticity

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Design and Implementation a Secured and distributed System using CBC, Socket, and RMI technologies 2021

Design and Implementation a Secured and Distributed System u...

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10th international conference on Software and Computer applications, ICSCA 2021

作者： Duc Phung, thang Van Nguyen, thai Quy Tran, Ban FPT University Viet Nam

ISBN: (纸本)9781450388825

this project aims to implement a tool that allows applications following the map-reduce principle and the AES encryption algorithm. the map-reduce policy is used in big data processing for speeding up the treatment of large data sets (large files). AES encryption algorithm is used to secure the data that is transmitted over the network. this principle is to split a large file into blocks (files) that are distributed on several nodes. An application (we call it Map) can be executed on each of these blocks in parallel. All the results (files) from these computations are then gathered on the original node where another application (we call it Reduce) is executed to compute the final result (one file). the typical application we will use is the word count application. this application counts the occurrences of each word in a big file. Each Map counts the presence of words in each block, producing a table . then the Reduce aggregates the created tables to obtain the final result (a table ) © 2021 ACM.

关键词： Cryptography

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SCALE-IT: distributed and Realistic Simulation Frameworks for Testing Cloud-Based Software

SCALE-IT: Distributed and Realistic Simulation Frameworks fo...

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international conference on Electrical Engineering, Computer Science and Informatics (EECSI)

作者： Pratik thantharate

Cloud-based software testing presents unique challenges due to the distributed nature of cloud applications and the need for realistic environment simulation. this paper addresses these challenges by proposing two novel solutions. the first is a distributed testing framework specifically designed for cloud-based software. this framework leverages service virtualization and automated orchestration to efficiently test software components across multiple servers, reducing testing time and resource consumption while improving coverage. the second solution is a realistic environment simulation framework for cloud-based software testing. this framework employs emulation and simulation techniques to replicate diverse deployment scenarios, network conditions, and user interactions, enhancing the accuracy and effectiveness of performance, scalability, and security testing. Experimental results demonstrate significant improvements in testing efficiency, effectiveness, and accuracy compared to traditional methods. For instance, the distributed testing framework reduced testing time by 18.75% and lowered CPU and memory utilization. the realistic environment simulation framework improved response times under various load scenarios and increased throughput during scalability testing. these proposed solutions pave the way for more robust and reliable cloud-based software, ensuring a seamless user experience and driving the continued advancement of cloud technologies.

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A Multi-cloud parallel Selection Approach for Unlinked Microservice Mapped to Budget's Quota: the PUM²Q 1

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10th international conference on Cloud computing and Services Science (CLOSER)

作者： Carvalho, Juliana Trinta, Fernando Vieira, Dario Univ Fed Piaui UFPI Picos Brazil Univ Fed Ceara UFC Fortaleza Ceara Brazil EFREI Paris Paris France

ISBN: (数字)9783030723699

ISBN: (纸本)9783030723682;9783030723699

the world is facing a complicated moment in which social isolation is necessary. therefore, to minimize the problems of companies, remote work is being widely adopted, which is only possible because of existing technologies, including cloud computing. Choosing the providers to host the business applications is a complex task, as there are many providers and most of them offer various services with the same functionality and different capabilities. thus, in this paper, we propose an approach, called PUM(2)Q, for selecting providers to host a distributed application based on microservices that have little communication between them. PUM(2)Q is a provider selection approach based on multi-criteria, and it copes with the needs of microservices individually and in parallel. the proposed approach extends our previous one, UM(2)Q, and should be incorporated by PacificClouds. Besides, we carry out a performance evaluation by varying the number of requirements, microservices, and providers. We also compare PUM(2)Q and UM(2)Q. the results presented by PUM(2)Q are better than those given by UM(2)Q, showing not only its viability but also expanding the number of approaches adopted by PacificClouds. As a result, PUM(2)Q making the tasks of the software architect, who is the user of PacificClouds, more flexible.

关键词： Multi-criteria decision-making method Microservices Multi-cloud parallel selection

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Proceedings of the 8th IEEE/ACM international conference on Big Data computing, applications and technologies, BDCAT 2021

Proceedings of the 8th IEEE/ACM International Conference on ...

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8th IEEE/ACM international conference on Big Data computing, applications and technologies, BDCAT 2021

ISBN: (纸本)9781450391641

the proceedings contain 15 papers. the topics discussed include: evaluating serverless architecture for big data enterprise applications;3D object recognition for virtual reality based digital twins;linking user accounts across social media platforms;crowd counting using deep learning in edge devices;multiscale clustering based diffusion representation learning method;a proactive data-parallel framework for machine learning;distributed orchestration of regression models over administrative boundaries;attribute network embedding method based on joint clustering of representation and network;and comparative analysis of pre-trained deep neural networks for vision-based security systems on a novel dataset.

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