Littérature scientifique sur le sujet « Consensus Based Applications »
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Articles de revues sur le sujet "Consensus Based Applications"
MOSTEFAOUI, A., et M. RAYNAL. « LEADER-BASED CONSENSUS ». Parallel Processing Letters 11, no 01 (mars 2001) : 95–107. http://dx.doi.org/10.1142/s0129626401000452.
Texte intégralLi, Wenjun, et Huaiyu Dai. « Cluster-based distributed consensus ». IEEE Transactions on Wireless Communications 8, no 1 (janvier 2009) : 28–31. http://dx.doi.org/10.1109/t-wc.2009.071146.
Texte intégralUddin, Moin, Muhammad Muzammal, Muhammad Khurram Hameed, Ibrahim Tariq Javed, Bandar Alamri et Noel Crespi. « CBCIoT : A Consensus Algorithm for Blockchain-Based IoT Applications ». Applied Sciences 11, no 22 (20 novembre 2021) : 11011. http://dx.doi.org/10.3390/app112211011.
Texte intégralYang, Tao, Di Wu, Yannan Sun et Jianming Lian. « Minimum-Time Consensus-Based Approach for Power System Applications ». IEEE Transactions on Industrial Electronics 63, no 2 (février 2016) : 1318–28. http://dx.doi.org/10.1109/tie.2015.2504050.
Texte intégralStankovic, Srdjan S., Milos S. Stankovic et Dusan M. Stipanovic. « Consensus Based Overlapping Decentralized Estimator ». IEEE Transactions on Automatic Control 54, no 2 (février 2009) : 410–15. http://dx.doi.org/10.1109/tac.2008.2009583.
Texte intégralPan, Shin-Hung, et Shu-Ching Wang. « Optimal Consensus with Dual Abnormality Mode of Cellular IoT Based on Edge Computing ». Sensors 21, no 2 (19 janvier 2021) : 671. http://dx.doi.org/10.3390/s21020671.
Texte intégralGe, Lina, Jie Wang et Guifen Zhang. « Survey of Consensus Algorithms for Proof of Stake in Blockchain ». Security and Communication Networks 2022 (29 mai 2022) : 1–13. http://dx.doi.org/10.1155/2022/2812526.
Texte intégralSebbak, Faouzi, et Farid Benhammadi. « Majority-consensus fusion approach for elderly IoT-based healthcare applications ». Annals of Telecommunications 72, no 3-4 (4 novembre 2016) : 157–71. http://dx.doi.org/10.1007/s12243-016-0550-7.
Texte intégralGeng, Tieming, Laurent Njilla et Chin-Tser Huang. « Delegated Proof of Secret Sharing : A Privacy-Preserving Consensus Protocol Based on Secure Multiparty Computation for IoT Environment ». Network 2, no 1 (25 janvier 2022) : 66–80. http://dx.doi.org/10.3390/network2010005.
Texte intégralOnan, Aytuğ. « Consensus Clustering-Based Undersampling Approach to Imbalanced Learning ». Scientific Programming 2019 (3 mars 2019) : 1–14. http://dx.doi.org/10.1155/2019/5901087.
Texte intégralThèses sur le sujet "Consensus Based Applications"
Genta, L. « CONSENSUS-BASED CROWDSOURCING : TECHNIQUES AND APPLICATIONS ». Doctoral thesis, Università degli Studi di Milano, 2015. http://hdl.handle.net/2434/263749.
Texte intégralDel, Favero Simone. « Analysis and Development of Consensus-based Estimation Schemes ». Doctoral thesis, Università degli studi di Padova, 2010. http://hdl.handle.net/11577/3427027.
Texte intégralGli ultimi decenni sono stati segnati dallo straordinario sviluppo di Internet e dalla pervasiva diffusione della tecnologia wireless, consentendo ad un numero sempre maggiore di dispositivi di scambiare tra loro informazioni. Questo fatto, assieme alla crescente disponibilità, a prezzi modici, di nodi equipaggiati con un'ampia varietà di dispositivi di misura, rende tecnologicamente concretizzabile l'idea di sviluppare grandi piattaforme di sensing, incaricate di monitorare qualsivoglia grandezza fisica. Tuttavia, queste grandi reti di dispositivi estremamente semplici hanno stringenti vincoli sul consumo energetico e sulla banda di comunicazione, che rendono criticamente necessario lo sviluppo di tecniche efficienti per la stima e la data-fusion, così da evitare carichi computazionali e di comunicazione insostenibili ai colli di bottiglia della rete. Questa tesi si propone di contribuire proprio in questo settore, presentando alcuni algoritmi per la soluzione distribuita di specifici problemi di stima ed analizzando le prestazioni di algoritmi recentemente proposti. Strumento chiave nella decentralizzazione della stima è la teoria del consensus, che propone algoritmi in grado di portare l'intera rete a concordare su una specifica quantità. L'utilizzo di algoritmi di consensus come elemento base nella costruzione di algoritmi di stima ci consente di sfruttare la solida comprensione di questo problema, affinata dai molti risultati recentemente proposti in letteratura, e di sfruttare degli strumenti di analisi ben consolidati. Nella tesi, motivati dal problema della localizzazione e del tracking di un oggetto, proponiamo un algoritmo per la compensazione degli offset ed un algoritmo per la stima ai minimi quadrati dei parametri caratterizzanti il canale wireless. Inoltre presentiamo un nuovo risultato di algebra lineare, utile nell'analisi di algoritmi randomizzati. Questo risultato giocherà un ruolo centrale nell'analisi qui proposta di un algoritmo distribuito per la stima alla Kalman. Infine, consideriamo l'interessante caso di una rete di sensori incaricata di stimare quantità diverse ma tra loro correlate e proponiamo un algoritmo per l'inferenza di un semplice campo di Gauss-Markov.
Saravi, Sara. « Use of Coherent Point Drift in computer vision applications ». Thesis, Loughborough University, 2013. https://dspace.lboro.ac.uk/2134/12548.
Texte intégralHuang, Fengqiong, James A. Macklin, Hong Cui, Heather A. Cole et Lorena Endara. « OTO : ontology term organizer ». BioMed Central, 2015. http://hdl.handle.net/10150/610269.
Texte intégralOuattara, Mory. « Développement et mise en place d'une méthode de classification multi-blocs : application aux données de l'OQAI ». Phd thesis, Conservatoire national des arts et metiers - CNAM, 2014. http://tel.archives-ouvertes.fr/tel-01062782.
Texte intégralKyrgyzov, Ivan. « Recherche dans les bases de donnees satellitaires des paysages et application au milieu urbain : clustering, consensus et categorisation ». Phd thesis, Télécom ParisTech, 2008. http://pastel.archives-ouvertes.fr/pastel-00004084.
Texte intégralKyrgyzov, Ivan. « Recherche dans les bases de données satellitaires des paysages et application au milieu urbain : clustering, consensus et catégorisation ». Paris, ENST, 2008. http://www.theses.fr/2008ENST0011.
Texte intégralRemote sensed satellite images have found a wide application for analysing and managing natural resources and human activities. Satellite images of high resolution, e. G. , SPOT5, have large sizes and are very numerous. This gives a large interest to develop new theoretical aspects and practical tools for satellite image mining. The objective of the thesis is unsupervised satellite image mining and includes three main parts. In the first part of the thesiswe demonstrate content of high resolution optical satellite images. We describe image zones by texture and geometrical features. Unsupervised clustering algorithms are presented in the second part of the thesis. A review of validity criteria and information measures is given in order to estimate the quality of clustering solutions. A new criterion based on Minimum Description Length (MDL) is proposed for estimating the optimal number of clusters. In addition, we propose a new kernel hierarchical clustering algorithm based on kernel MDL criterion. A new method of ”clustering combination” is presented in the thesis in order to benefit from several clusterings issued from different algorithms. We develop a hierarchical algorithm to optimise the objective function based on a co-association matrix. A second method is proposed which converges to a global solution. We prove that the global minimum may be found using the gradient density function estimation by the mean shift procedure. Advantages of this method are a fast convergence and a linear complexity. In the third part of the thesis a complete protocol of unsupervised satellite images mining is proposed. Different clustering results are represented via semantic relations between concepts
Huang, Chang-Min, et 黃昶閔. « A Circuit Implementation of Random Sample Consensus Algorithm for Feature-based Image Registration Applications ». Thesis, 2012. http://ndltd.ncl.edu.tw/handle/31620421641171434252.
Texte intégral國立交通大學
電機工程學系
101
With the camera calibration and image processing development in recent years, image registration has become more important in the image processing increasingly. The application of the image registration is also increasingly widespread. This thesis proposes a circuit implementation of RANdom SAmple Consensus (RANSAC)for feature-based image registration applications. In order to achieve the effect of random sampling, the interleaving and the group shuffling method are adopted to disorder the stored matching feature point coordinates. This thesis uses the systolic array architecture to implement the forward elimination step in the Gaussian elimination. The computational complexity in the forward elimination is reduced by sharing the coefficient matrix. As a result, the area of the hardware cost is reduced by more than 50%.The using of the look-up table for the divider circuit implementation make the calculation can be done in a single clock cycle without any iteration. The proposed architecture is realized by using verilog and achieves real-time calculation on 30fps 1024 * 1024 video stream on 100 MHz clock.
Venugopalakrishna, Y. R. « Data Fusion Based Physical Layer Protocols for Cognitive Radio Applications ». Thesis, 2016. http://etd.iisc.ernet.in/handle/2005/2683.
Texte intégralBonadio, Alessio. « Mobile Computing and Networking Architectures for the Internet of Vehicles ». Doctoral thesis, 2021. http://hdl.handle.net/2158/1259056.
Texte intégralLivres sur le sujet "Consensus Based Applications"
Mitchener, Donald K. U.S. Naval Gunfire Support in the Pacific War. University Press of Kentucky, 2021. http://dx.doi.org/10.5810/kentucky/9781949668124.001.0001.
Texte intégralBolfing, Andreas. Cryptographic Primitives in Blockchain Technology. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198862840.001.0001.
Texte intégralWolfson, Todd, dir. Governance : Democracy All the Way Down. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252038846.003.0006.
Texte intégralGeddes, John R., Nancy C. Andreasen et Guy M. Goodwin, dir. New Oxford Textbook of Psychiatry. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780198713005.001.0001.
Texte intégralChapitres de livres sur le sujet "Consensus Based Applications"
Caicedo-Núñez, Carlos H., et Miloš Žefran. « Counting and Rendezvous : Two Applications of Distributed Consensus in Robotics ». Dans Wireless Networking Based Control, 175–201. New York, NY : Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-7393-1_8.
Texte intégralNguyen, Ngoc Thanh, et Hai Bang Truong. « A Consensus-Based Method for Fuzzy Ontology Integration ». Dans Computational Collective Intelligence. Technologies and Applications, 480–89. Berlin, Heidelberg : Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16732-4_51.
Texte intégralFornasier, Massimo, Timo Klock et Konstantin Riedl. « Convergence of Anisotropic Consensus-Based Optimization in Mean-Field Law ». Dans Applications of Evolutionary Computation, 738–54. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-02462-7_46.
Texte intégralMudumbai, Raghuraman, Soura Dasgupta et M. Muhammad Mahboob Ur Rahman. « Analysis of a Distributed Consensus Based Economic Dispatch Algorithm ». Dans Systems & ; Control : Foundations & ; Applications, 481–500. Cham : Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04630-9_14.
Texte intégralSobecki, Janusz, et Ngoc Thanh Nguyen. « Consensus-Based Adaptive Interface Construction for Multiplatform Web Applications ». Dans Intelligent Data Engineering and Automated Learning, 457–61. Berlin, Heidelberg : Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45080-1_62.
Texte intégralWang, Dong, Chenguang Jin, Han Li et Marek Perkowski. « Proof of Activity Consensus Algorithm Based on Credit Reward Mechanism ». Dans Web Information Systems and Applications, 618–28. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60029-7_55.
Texte intégralQu, Yaohong, Xu Zhu et Youmin M. Zhang. « Cooperative Control for UAV Formation Flight Based on Decentralized Consensus Algorithm ». Dans Intelligent Robotics and Applications, 357–66. Berlin, Heidelberg : Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33509-9_35.
Texte intégralJiao, Zilong, et Jae Oh. « Consensus-Based Protocol for Distributed Exploration and Mapping ». Dans Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 533–44. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55789-8_46.
Texte intégralJung, Jason J., et Geun-Sik Jo. « Consensus-Based Evaluation Framework for Cooperative Information Retrieval Systems ». Dans Agent and Multi-Agent Systems : Technologies and Applications, 169–78. Berlin, Heidelberg : Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72830-6_18.
Texte intégralLiu, Xiyu, Yuzhen Zhao et Wenxing Sun. « K-Medoids-Based Consensus Clustering Based on Cell-Like P Systems with Promoters and Inhibitors ». Dans Bio-inspired Computing – Theories and Applications, 95–108. Singapore : Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-3611-8_11.
Texte intégralActes de conférences sur le sujet "Consensus Based Applications"
Caicedo-Nunez, Carlos H., et Milos Zefran. « Consensus-based rendezvous ». Dans 2008 IEEE International Conference on Control Applications (CCA) part of the IEEE Multi-Conference on Systems and Control. IEEE, 2008. http://dx.doi.org/10.1109/cca.2008.4629611.
Texte intégralGong, Bei, Zhenhu Ning, Wenjing Li et Shanshan Tu. « Consensus Algorithm Based on Subject Credit ». Dans ICSCA 2022 : 2022 11th International Conference on Software and Computer Applications. New York, NY, USA : ACM, 2022. http://dx.doi.org/10.1145/3524304.3524321.
Texte intégralGong, Bei, Zhenhu Ning, Wenjing Li et Shanshan Tu. « Consensus Algorithm Based on Subject Credit ». Dans ICSCA 2022 : 2022 11th International Conference on Software and Computer Applications. New York, NY, USA : ACM, 2022. http://dx.doi.org/10.1145/3524304.3524321.
Texte intégralLizzio, Fausto Francesco, Elisa Capello et Giorgio Guglieri. « A Review of Consensus-based Multi-agent UAV Applications ». Dans 2021 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2021. http://dx.doi.org/10.1109/icuas51884.2021.9476858.
Texte intégralMallik, Galib R., Sangeeta Daingade et Arpita Sinha. « Consensus based deviated cyclic pursuit for target tracking applications ». Dans 2015 European Control Conference (ECC). IEEE, 2015. http://dx.doi.org/10.1109/ecc.2015.7330785.
Texte intégralSaunois, Geoffrey, Frederique Robin, Emmanuelle Anceaume et Bruno Sericola. « Permissionless Consensus based on Proof-of-Eligibility ». Dans 2020 IEEE 19th International Symposium on Network Computing and Applications (NCA). IEEE, 2020. http://dx.doi.org/10.1109/nca51143.2020.9306715.
Texte intégralMata, Francisco, Pedro Sanchez, Ivan Palomares, J. Quesada Francisco et Luis Martinez. « COMAS : A consensus multi-agent based system ». Dans 2010 10th International Conference on Intelligent Systems Design and Applications (ISDA). IEEE, 2010. http://dx.doi.org/10.1109/isda.2010.5687223.
Texte intégralIlic, Nemanja, Milos S. Stankovic et Srdjan S. Stankovic. « Adaptive sensor networks for consensus based distributed estimation ». Dans 2012 IEEE International Conference on Control Applications (CCA). IEEE, 2012. http://dx.doi.org/10.1109/cca.2012.6402382.
Texte intégralLa, Hung Manh, et Weihua Sheng. « Cooperative sensing in mobile sensor networks based on distributed consensus ». Dans SPIE Optical Engineering + Applications, sous la direction de Oliver E. Drummond. SPIE, 2011. http://dx.doi.org/10.1117/12.895519.
Texte intégralZhang, Xueji, Kristian Hengster-Movric, Michael Sebek, Wim Desmet et Cassio Faria. « Consensus-based distributed sensor fusion over a network ». Dans 2017 IEEE Conference on Control Technology and Applications (CCTA). IEEE, 2017. http://dx.doi.org/10.1109/ccta.2017.8062540.
Texte intégralRapports d'organisations sur le sujet "Consensus Based Applications"
Allende López, Marcos, Diego López, Sergio Cerón, Antonio Leal, Adrián Pareja, Marcelo Da Silva, Alejandro Pardo et al. Quantum-Resistance in Blockchain Networks. Inter-American Development Bank, juin 2021. http://dx.doi.org/10.18235/0003313.
Texte intégralButler, John M. Bitemark Analysis. Gaithersburg, MD : National Institute of Standards and Technology, 2022. http://dx.doi.org/10.6028/nist.ir.8352-draft.
Texte intégralAnderson, Gerald L., et Kalman Peleg. Precision Cropping by Remotely Sensed Prorotype Plots and Calibration in the Complex Domain. United States Department of Agriculture, décembre 2002. http://dx.doi.org/10.32747/2002.7585193.bard.
Texte intégralDaudelin, Francois, Lina Taing, Lucy Chen, Claudia Abreu Lopes, Adeniyi Francis Fagbamigbe et Hamid Mehmood. Mapping WASH-related disease risk : A review of risk concepts and methods. United Nations University Institute for Water, Environment and Health, décembre 2021. http://dx.doi.org/10.53328/uxuo4751.
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