Auswahl der wissenschaftlichen Literatur zum Thema „Non-Centralized algorithms“
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Zeitschriftenartikel zum Thema "Non-Centralized algorithms"
Li, Xiang, und Yuxuan Ma. „Analysis of Multi-Robot Patrolling Algorithms“. Journal of Physics: Conference Series 2419, Nr. 1 (01.01.2023): 012100. http://dx.doi.org/10.1088/1742-6596/2419/1/012100.
Der volle Inhalt der QuelleGE, Quan-Bo, Wen-Bin LI, Ruo-Yu SUN und Zi XU. „Centralized Fusion Algorithms Based on EKF for Multisensor Non-linear Systems“. Acta Automatica Sinica 39, Nr. 6 (25.03.2014): 816–25. http://dx.doi.org/10.3724/sp.j.1004.2013.00816.
Der volle Inhalt der QuelleDong, Da Wei, Xiao Guo Liu und Tian Jing. „Channel Assignment Algorithm in Centralized WLAN“. Applied Mechanics and Materials 721 (Dezember 2014): 728–31. http://dx.doi.org/10.4028/www.scientific.net/amm.721.728.
Der volle Inhalt der QuelleXian, Wenhan, Feihu Huang und Heng Huang. „Communication-Efficient Frank-Wolfe Algorithm for Nonconvex Decentralized Distributed Learning“. Proceedings of the AAAI Conference on Artificial Intelligence 35, Nr. 12 (18.05.2021): 10405–13. http://dx.doi.org/10.1609/aaai.v35i12.17246.
Der volle Inhalt der QuelleLiu, Zonglin, und Olaf Stursberg. „Distributed control of networked systems with coupling constraints“. at - Automatisierungstechnik 67, Nr. 12 (18.11.2019): 1007–18. http://dx.doi.org/10.1515/auto-2019-0085.
Der volle Inhalt der QuelleCapocasale, Vittorio. „Trapdoor proof of work“. PeerJ Computer Science 10 (19.01.2024): e1815. http://dx.doi.org/10.7717/peerj-cs.1815.
Der volle Inhalt der QuelleHuanca-Anquise, Candy A., Ana Lúcia Cetertich Bazzan und Anderson R. Tavares. „Multi-Objective, Multi-Armed Bandits: Algorithms for Repeated Games and Application to Route Choice“. Revista de Informática Teórica e Aplicada 30, Nr. 1 (30.01.2023): 11–23. http://dx.doi.org/10.22456/2175-2745.122929.
Der volle Inhalt der QuelleZhao, Weiwei, Hairong Chu, Xikui Miao, Lihong Guo, Honghai Shen, Chenhao Zhu, Feng Zhang und Dongxin Liang. „Research on the Multiagent Joint Proximal Policy Optimization Algorithm Controlling Cooperative Fixed-Wing UAV Obstacle Avoidance“. Sensors 20, Nr. 16 (13.08.2020): 4546. http://dx.doi.org/10.3390/s20164546.
Der volle Inhalt der QuelleTan, Fuxiao. „The Algorithms of Distributed Learning and Distributed Estimation about Intelligent Wireless Sensor Network“. Sensors 20, Nr. 5 (27.02.2020): 1302. http://dx.doi.org/10.3390/s20051302.
Der volle Inhalt der QuelleDr. C.V. Nageswara, Rao, und Putta Mr. Vihari. „RNGA based Centralized PI Controller for Multivariable Non Square Systems using Direct Synthesis Method“. International Journal of Innovative Technology and Exploring Engineering 12, Nr. 6 (30.05.2023): 1–10. http://dx.doi.org/10.35940/ijitee.f9518.0512623.
Der volle Inhalt der QuelleDissertationen zum Thema "Non-Centralized algorithms"
Alvarez, Valera Hernan Humberto. „An energy saving perspective for distributed environments : Deployment, scheduling and simulation with multidimensional entities for Software and Hardware“. Electronic Thesis or Diss., Pau, 2022. https://theses.hal.science/tel-04116013.
Der volle Inhalt der QuelleNowadays, strong economic growth and extreme weather conditions increased global electricity demand by more than 6% in 2021 after the COVID pandemic. The fast recovery regarding this demand rapidly increased electricity consumption. Even though renewable sources present a significant growth, electricity production from both coal and gas sources has reached a historical level.On the other hand, the consumption of energy by the digital technology sector depends on its growth and its degree of energy efficiency. On this matter, although devices at all deployment levels are energy efficient today, their massive use means that global energy consumption continues to grow.All these data show the need to use the energy of these devices wisely. For that reason, this thesis work addresses the dynamic (re)deployment of software components (containers or virtual machines) and their data to save energy. To this extent, we designed and developed intelligent distributed scheduling algorithms to decrease global power consumption while preserving the applications' quality of service.Such algorithms execute migrations and duplications procedures considering the natural relation between hardware components' load/features and power consumption. For that, they implement a novel manner of decentralized negotiations based on a distributed middleware we created (Kaligreen) and multidimensional data structures.To operate and assess the algorithms above, appropriate tools regarding hardware and software solutions are essential. Here, our choice was to develop our ownsimulation tool called: PISCO.PISCO is a versatile and straightforward simulator that allows users to concentrate only on their scheduling strategies. It enables network topologies to be abstracted as data structures whose elements are devices indexed by one or more criteria. Additionally, it mimics the execution of microservices by allocating resources according to various scheduling heuristics.We have used PISCO to implement, run and test our scheduling algorithms
Vestin, Albin, und Gustav Strandberg. „Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms“. Thesis, Linköpings universitet, Reglerteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160020.
Der volle Inhalt der QuelleÖstman, Alexander. „Non-centralized distributed algorithm to locate nearby servers based on player positions for a MMOG server cluster“. Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-186714.
Der volle Inhalt der QuelleIn den här uppsatsen presenteras en icke-centraliserad algoritm som hittar närliggande servrar baserat på deras spelares positioner i ett massivt multi-spelare online spel med flera servrar. Syftet är att möjliggöra att spelare från olika servrar kan se varandra visuellt även fast de är uppkopplade till olika servrar. Genom att använda sig av ”peer-to-peer” kommunikation i klustret blir algoritmen tolerant mot hårdvarufel. Algoritmen simplifierar data som skickas genom en ny typ av konkav polygon algoritm vilken fungerar i linjär exekveringstid, vilket möjliggör snabba beräkningar för realtidsspel. Algoritmen fungerar genom att hitta kolliderande polygoner från andra servrar och även de mest närliggande baserat på distans för att lokalisera närliggande servrar att dela information med. De här två algoritmerna arbetar i kvadratisk tid vilket skulle kunna förbättras. Detta kan kräva att konkava polygonen konverteras till en eller flera konvexa polygoner. Algoritmen är designad för att ge användaren bra tillgång till hur mycket nätverkstrafik som bör skickas inom klustret vilket ger en bättre kontroll och förståelse över hur mycket data som kommer att skickas totalt. Det visas att algoritmen är beroende av hur spelarna är distribuerade över servrarna. Genom att ha närliggande spelare i världen på samma server förbättras resultatet av algoritmen. Det visas även att jämfört med en centraliserad server så förbättras nätverkstrafiken på varje enskild nod jämfört med trafiken som mottogs av den centraliserade servern.
Buchteile zum Thema "Non-Centralized algorithms"
Albers, Susanne, und Alexander Eckl. „Explorable Uncertainty in Scheduling with Non-uniform Testing Times“. In Approximation and Online Algorithms, 127–42. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80879-2_9.
Der volle Inhalt der QuelleUmar, Raza, und Wessam Mesbah. „Throughput-Efficient Spectrum Access in Cognitive Radio Networks“. In Advances in Wireless Technologies and Telecommunication, 454–77. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-6571-2.ch017.
Der volle Inhalt der QuelleWang, Yunlong, Yang Cai und Yuan Shen. „Cooperative Localization in Wireless Networks“. In Advances in Wireless Technologies and Telecommunication, 232–73. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3528-7.ch006.
Der volle Inhalt der QuellePrakash, Ved, Suman Pandey und Deepti Singh. „A Perspective View of Bio-Inspire Approaches Employing in Wireless Sensor Networks“. In IoT-enabled Sensor Networks: Architecture, Methodologies, Security, and Futuristic Applications, 18–31. BENTHAM SCIENCE PUBLISHERS, 2024. http://dx.doi.org/10.2174/9789815049480124060004.
Der volle Inhalt der QuelleAnitha, V. S., und M. P. Sebastian. „Multi-Purpose DS-Based Cluster Formation and Management in Mobile Ad Hoc Networks“. In Innovations in Mobile Multimedia Communications and Applications, 1–20. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-60960-563-6.ch001.
Der volle Inhalt der QuelleZardari, Munwar Ali, und Low Tang Jung. „Classification of File Data Based on Confidentiality in Cloud Computing Using K-NN Classifier“. In Cloud Security, 678–97. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8176-5.ch034.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Non-Centralized algorithms"
Iman Taheri, Seyed, Lucas Lima Rodrigues, Mauricio B. C. Salles und Alfeu Joãozinho Sguarezi Filho. „A day-ahead hybrid optimization algorithm for finding the dispatch schedule of VPP in a distribution system“. In Simpósio Brasileiro de Sistemas Elétricos - SBSE2020. sbabra, 2020. http://dx.doi.org/10.48011/sbse.v1i1.2476.
Der volle Inhalt der QuellePanetta, Chandler J., Osama N. Ennasr und Xiaobo Tan. „Distributed Particle Filter With Online Model Learning for Localization Using Time-Difference-of-Arrival (TDOA) Measurements“. In ASME 2020 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dscc2020-3305.
Der volle Inhalt der QuelleGarg, Ankit, Aman Sharma, Saurabh Rajvanshi, Abhinav Suman, Bhargab Goswami, Mahendra Prasad Yadav, DKJ Narayana und Rajesh Tiwary. „Optimization of Gas Injection Network Using Genetic Algorithm: A Solution for Intermittent Gas Lift Wells“. In SPE Canadian Energy Technology Conference and Exhibition. SPE, 2024. http://dx.doi.org/10.2118/218028-ms.
Der volle Inhalt der QuelleNeagu, Laurentiumarian, Teodormihai Cotet, Mihai Dascalu, Stefan Trausanmatu, Laura Badescu und Eugen Simion. „SEMANTIC AUTHOR RECOMMENDATIONS BASED ON THEIR BIOGRAPHY FROM THE GENERAL ROMANIAN DICTIONARY OF LITERATURE“. In eLSE 2019. Carol I National Defence University Publishing House, 2019. http://dx.doi.org/10.12753/2066-026x-19-022.
Der volle Inhalt der QuelleRocha, Celso, Paulo Radatz, Carlos Almeida und Nelson Kagan. „OPF-based Active Network Management Strategy for Distribution Networks with High Penetration of Distributed Generation“. In Simpósio Brasileiro de Sistemas Elétricos - SBSE2020. sbabra, 2020. http://dx.doi.org/10.48011/sbse.v1i1.2490.
Der volle Inhalt der QuelleRangasamy, Kotteeswaran, Rangam Vijaya Ramraj und G. Sivagurunathan. „Performance Assessment Of Conventional And Cuckoo Search Algorithm Based Centralized PID Controller For Multivariable Non-square System With RHP Zeros“. In 2020 First IEEE International Conference on Measurement, Instrumentation, Control and Automation (ICMICA). IEEE, 2020. http://dx.doi.org/10.1109/icmica48462.2020.9242858.
Der volle Inhalt der QuelleNestinger, Stephen S., Harry H. Cheng und Bo Chen. „Flexible Dynamic Task Allocation in Cooperative Mission-Based Robotic Systems“. In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87627.
Der volle Inhalt der QuelleFong, K. F., T. T. Chow und V. I. Hanby. „Development of Optimal Design of Solar Water Heating System by Using Evolutionary Algorithm“. In ASME 2005 International Solar Energy Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/isec2005-76189.
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