Literatura académica sobre el tema "Time-varying network"
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Artículos de revistas sobre el tema "Time-varying network"
Crane, Harry. "Time-varying network models". Bernoulli 21, n.º 3 (agosto de 2015): 1670–96. http://dx.doi.org/10.3150/14-bej617.
Texto completoYu, Hui, Yi Zhang y Gao Yang Liu. "Multi-Agent Consensus with a Time-Varying Reference State and Time-Varying Delays". Applied Mechanics and Materials 48-49 (febrero de 2011): 724–29. http://dx.doi.org/10.4028/www.scientific.net/amm.48-49.724.
Texto completoLucas, Maxime, Duccio Fanelli, Timoteo Carletti y Julien Petit. "Desynchronization induced by time-varying network". EPL (Europhysics Letters) 121, n.º 5 (10 de mayo de 2018): 50008. http://dx.doi.org/10.1209/0295-5075/121/50008.
Texto completoCarchiolo, Vincenza, Christian Cavallo, Marco Grassia, Michele Malgeri y Giuseppe Mangioni. "Link Prediction in Time Varying Social Networks". Information 13, n.º 3 (1 de marzo de 2022): 123. http://dx.doi.org/10.3390/info13030123.
Texto completoWang, Li Fu, Jian Ding y Zhi Kong. "Local Synchronization for Time Varying Topological Networks". Advanced Materials Research 850-851 (diciembre de 2013): 545–48. http://dx.doi.org/10.4028/www.scientific.net/amr.850-851.545.
Texto completoHammachukiattikul, Porpattama. "Finite-time Stability, Dissipativity and Passivity Analysis of Discrete-time Neural Networks Time-varying Delays". Emerging Science Journal 3, n.º 6 (1 de diciembre de 2019): 361–68. http://dx.doi.org/10.28991/esj-2019-01198.
Texto completoSharma, Vicky, Koushik Kar, Richard La y Leandros Tassiulas. "Dynamic network provisioning for time-varying traffic". Journal of Communications and Networks 9, n.º 4 (diciembre de 2007): 408–18. http://dx.doi.org/10.1109/jcn.2007.6182876.
Texto completoZhaoyan Wu y Xiaoli Gong. "IMPULSIVE SYNCHRONIZATION OF TIME-VARYING DYNAMICAL NETWORK". Journal of Applied Analysis & Computation 6, n.º 1 (2016): 94–102. http://dx.doi.org/10.11948/2016008.
Texto completoMyung, Hyun y Jong-Hwan Kim. "Time-Varying Two-Phase Optimization Neural Network". Journal of Intelligent and Fuzzy Systems 5, n.º 2 (1997): 85–101. http://dx.doi.org/10.3233/ifs-1997-5201.
Texto completoKhamfroush, Hana, Daniel E. Lucani, Joao Barros y Peyman Pahlevani. "Network-Coded Cooperation Over Time-Varying Channels". IEEE Transactions on Communications 62, n.º 12 (diciembre de 2014): 4413–25. http://dx.doi.org/10.1109/tcomm.2014.2367016.
Texto completoTesis sobre el tema "Time-varying network"
Afrasiabi, Rad Amir. "Social Network Analysis and Time Varying Graphs". Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/34441.
Texto completoKhan, Asif H. "Analysis of time varying load for minimum loss distribution reconfiguration". Diss., This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-06062008-171313/.
Texto completoReber, David Patrick. "Exponential Stability of Intrinsically Stable Dynamical Networks and Switched Networks with Time-Varying Time Delays". BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/7136.
Texto completoOlanders, David. "Optimal Time-Varying Cash Allocation". Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273626.
Texto completoEn betalning är den mest fundamentala aspekten av handel som involverar kapital. De senaste åren har utvecklingen av nya betalmedel ökat drastiskt då världen fortsatt att utvecklas genom digitaliseringen. Utvecklingen har lett till en ökad efterfrågan på digitala betalningslösningar som kan hantera handel över hela världen. Då handel idag kan ske när som helst oberoende av var betalaren och betalningsmottagaren befinner sig, måste systemet som genomför betalningen alltid vara tillgängligt för att kunna förmedla handel mellan olika parter. Detta kräver att betalningssystemet alltid måste ha medel tillgängligt i efterfrågade länder och valutor för att handeln ska kunna genomföras. Den här uppsatsen fokuserar på hur kapital kostnadseffektivt kan omallokeras i ett betalsystem för att säkerställa att handel alltid är tillgängligt. Traditionellt har omallokeringen av kapital gjorts på ett regelbaserat sätt, vilket inte tagit hänsyn till kostnadsdimensionen och därigenom enbart fokuserat på själva omallokeringen. Den här uppsatsen använder metoder för att optimalt omallokera kapital baserat på kostnaderna för omallokeringen. Därigenom skapas en möjlighet att flytta kapital på ett avsevärt mer kostnadseffektivt sätt. När omallokeringsbesluten formuleras matematiskt som ett optimeringsproblem är kostnadsfunktionen formulerad som ett linjärt program med både Booleska och reella begränsningar av variablerna. Detta gör att traditionella lösningsmetoder för linjära program inte är användningsbara för att finna den optimala lösningen, varför vidareutveckling av tradtionella metoder tillsammans med mer avancerade metoder använts. Modellen utvärderades baserat på ett stort antal simuleringar som jämförde dess prestanda med det regelbaserade systemet. Den utvecklade modellen presterar en signfikant kostnadsreduktion i jämförelse med det regelbaserade systemet och överträffar därigenom det traditionellt använda systemet. Framtida arbete bör fokusera på att expandera modellen genom att utöka de potentiella överföringsmöjligheterna, att ta ökad hänsyn till osäkerhet genom en bayesiansk hantering, samt slutligen att integrera samtliga kostnadsaspekter i nätverket.
Maråk, Knut Petter. "The Time Varying Elastance Model used as a Boundary Condition in Arterial Network Simulations". Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for konstruksjonsteknikk, 2013. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-23203.
Texto completoNakajima, Natsu. "Genetic Network Completion Using Dynamic Programming and Least-Squares Fitting". 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/195987.
Texto completoUnsal, Ahmet Dundar. "Estimation Of Time-dependent Link Costs Using Gps Track Data". Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/3/12608010/index.pdf.
Texto completothey rarely exist on back roads, secondary roads and streets due to their deployment costs. Today, telematics systems offer fleet operators to track their fleet remotely from a central system. Those systems provide data about the behaviors of vehicles with time information. Therefore, a tracking system can be used as an alternative to detector-based systems on estimating travel speeds on networks. This study aims to provide methods to estimate network characteristics using the data collected directly from fleets consisting of global positioning system (GPS) receiver equipped vehicles. GIS technology is used to process the collected GPS data spatially to match digital road maps. After matching, time-dependent characteristics of roads on which tracked vehicles traveled are estimated. This estimation provides data to perform a time-dependent network analysis. The methods proposed in this study are tested on traffic network of Middle East Technical University campus. The results showed that the proposed methods are capable of measuring time-dependent link-travel times on the network. Peak hours through the network are clearly detected.
Liang, Qingkai. "Survivability of time-varying networks". Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/98694.
Texto completoCataloged from PDF version of thesis.
Includes bibliographical references (pages 81-83).
Time-varying graphs are a useful model for networks with dynamic connectivity such as mmWave networks and vehicular networks, yet, despite their great modeling power, many important features of time-varying graphs are still poorly understood. In this thesis, we study the survivability properties of time-varying networks against unpredictable interruptions. We first show that the traditional definition of survivability is not effective in time-varying networks and propose a new survivability framework. To evaluate survivability of time-varying networks under the new framework, we propose two metrics that are analogous to MaxFlow and MinCut in static networks. We show that some fundamental survivability-related results such as Menger's Theorem only conditionally hold in timevarying networks. Then we analyze the complexity of computing the proposed metrics and develop several approximation algorithms. Finally, we conduct trace-driven simulations to demonstrate the application of our survivability framework in the robust design of a real-world bus communication network.
by Qingkai Liang.
S.M.
Slind, Jillian Rae. "Community detection in sparse time-varying networks". Thesis, University of British Columbia, 2014. http://hdl.handle.net/2429/50043.
Texto completoScience, Faculty of
Computer Science, Department of
Graduate
Demircin, Mehmet Umut. "Robust video streaming over time-varying wireless networks". Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/24790.
Texto completoCommittee Chair: Yucel Altunbasak; Committee Member: Chuanyi Ji; Committee Member: Ghassan AlRegib; Committee Member: Ozlem Ergun; Committee Member: Russell M. Mersereau.
Libros sobre el tema "Time-varying network"
Mukherjee, Animesh. Dynamics On and Of Complex Networks, Volume 2: Applications to Time-Varying Dynamical Systems. New York, NY: Springer New York, 2013.
Buscar texto completoDror, Shahar. Identification and control of non-linear time-varying dynamical systems using artificial neural networks. Monterey, Calif: Naval Postgraduate School, 1992.
Buscar texto completoWong, C. K. y Dan Sha. Time-Varying Network Optimization. Springer London, Limited, 2007.
Buscar texto completoTime-Varying Network Optimization. Boston, MA: Springer US, 2007. http://dx.doi.org/10.1007/0-387-71215-1.
Texto completoTime-Varying Network Optimization (International Series in Operations Research & Management Science). Springer, 2007.
Buscar texto completoGanguly, Niloy, Animesh Mukherjee, Monojit Choudhury, Fernando Peruani y Bivas Mitra. Dynamics On and Of Complex Networks, Volume 2: Applications to Time-Varying Dynamical Systems. Birkhäuser, 2015.
Buscar texto completoDong, Hongli, Zidong Wang y Nan Hou. Networked Non-Linear Stochastic Time-varying Systems. Taylor & Francis Group, 2021.
Buscar texto completoNetworked Non-Linear Stochastic Time-Varying Systems: Analysis and Synthesis. Taylor & Francis Group, 2021.
Buscar texto completoDong, Hongli, Zidong Wang y Nan Hou. Networked Non-Linear Stochastic Time-Varying Systems: Analysis and Synthesis. Taylor & Francis Group, 2021.
Buscar texto completoDong, Hongli, Zidong Wang y Nan Hou. Networked Non-Linear Stochastic Time-Varying Systems: Analysis and Synthesis. Taylor & Francis Group, 2021.
Buscar texto completoCapítulos de libros sobre el tema "Time-varying network"
Dong, Hongli, Zidong Wang y Nan Hou. "Distributed Estimation over Sensor Network". En Networked Nonlinear Stochastic Time-Varying Systems, 119–58. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003189497-6.
Texto completoZhu, Jun-Wei, Xin Wang y Guang-Hong Yang. "IE for Time-Varying Delay Systems". En Fault Estimation for Network Systems via Intermediate Estimator, 43–53. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-6321-6_4.
Texto completoKarsai, Márton y Nicola Perra. "Control Strategies of Contagion Processes in Time-Varying Networks". En Temporal Network Epidemiology, 179–97. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5287-3_8.
Texto completoShen, Yi, Meiqin Liu y Xiaodong Xu. "Stochastic Time-Varying Competitive Neural Network Systems". En Advances in Neural Networks - ISNN 2006, 683–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11759966_100.
Texto completoSha, D., X. Cai y C. K. Wong. "The Maximum Flow in a Time-Varying Network". En Lecture Notes in Economics and Mathematical Systems, 437–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57014-8_29.
Texto completoWu, Yuanqing, Renquan Lu, Hongye Su, Peng Shi y Zheng-Guang Wu. "Sampled-Data Control with Time-Varying Coupling Delay". En Synchronization Control for Large-Scale Network Systems, 67–91. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45150-3_4.
Texto completoMarcastel, Alexandre, E. Veronica Belmega, Panayotis Mertikopoulos y Inbar Fijalkow. "Interference Mitigation via Pricing in Time-Varying Cognitive Radio Systems". En Network Games, Control, and Optimization, 177–86. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51034-7_17.
Texto completoLi, Zhan y Yunong Zhang. "Time-Varying Quadratic Programming by Zhang Neural Network Equipped with a Time-Varying Design Parameter γ(t)". En Advances in Neural Networks – ISNN 2011, 101–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21105-8_13.
Texto completoSquartini, Stefano, Yibin Ye y Francesco Piazza. "Learning Capabilities of ELM-Trained Time-Varying Neural Networks". En Recent Advances of Neural Network Models and Applications, 41–52. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04129-2_5.
Texto completoJiang, Dingguo. "Finite Time Stability of Cohen-Grossberg Neural Network with Time-Varying Delays". En Advances in Neural Networks – ISNN 2009, 522–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01507-6_60.
Texto completoActas de conferencias sobre el tema "Time-varying network"
Nakajima, Natsu y Tatsuya Akutsu. "Network Completion for Time Varying Genetic Networks". En 2013 7th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS). IEEE, 2013. http://dx.doi.org/10.1109/cisis.2013.100.
Texto completoBaohua, Fan, Zhang Heying y Dou Wenhua. "A Time Varying Network Calculus". En 2009 Fifth International Joint Conference on INC, IMS and IDC. IEEE, 2009. http://dx.doi.org/10.1109/ncm.2009.230.
Texto completoTomasi, Federico, Veronica Tozzo, Saverio Salzo y Alessandro Verri. "Latent Variable Time-varying Network Inference". En KDD '18: The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3219819.3220121.
Texto completoStoorvogel, Anton A., Ali Saberi y Meirong Zhang. "Synchronization in an homogeneous, time-varying network with nonuniform time-varying communication delays". En 2016 IEEE 55th Conference on Decision and Control (CDC). IEEE, 2016. http://dx.doi.org/10.1109/cdc.2016.7798383.
Texto completoNadini, Matthieu, Alessandro Rizzo y Maurizio Porfiri. "Contagion Processes Over Temporal Networks With Time-Varying Backbones". En ASME 2019 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/dscc2019-9054.
Texto completoIkeda, Takuya y Kenji Kashima. "Optimal time-varying topology for network systems". En 2022 13th Asian Control Conference (ASCC). IEEE, 2022. http://dx.doi.org/10.23919/ascc56756.2022.9828074.
Texto completoKapetanaki, Alexandra, Konstantinos Kopsidas, C. Tumelo-Chakonta y Muhhamad Buhari. "Network planning evaluation implementing time varying thermal ratings". En 2014 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). IEEE, 2014. http://dx.doi.org/10.1109/pmaps.2014.6960663.
Texto completoUchimura, Y. "Wireless network based control with time varying delay". En IECON 2008 - 34th Annual Conference of IEEE Industrial Electronics Society. IEEE, 2008. http://dx.doi.org/10.1109/iecon.2008.4758431.
Texto completoLi, Yize y Jie Tang. "Expertise Search in a Time-Varying Social Network". En 2008 9th International Conference on Web-Age Information Management (WAIM). IEEE, 2008. http://dx.doi.org/10.1109/waim.2008.100.
Texto completoHallac, David, Youngsuk Park, Stephen Boyd y Jure Leskovec. "Network Inference via the Time-Varying Graphical Lasso". En KDD '17: The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3097983.3098037.
Texto completoInformes sobre el tema "Time-varying network"
Shrader, Brooke, Armen Babikyan, Nathaniel M. Jones, Thomas H. Shake y Andrew P. Worthen. Rate Control for Network-Coded Multipath Relaying with Time-Varying Connectivity. Fort Belvoir, VA: Defense Technical Information Center, diciembre de 2010. http://dx.doi.org/10.21236/ada540462.
Texto completoDew-Becker, Ian, Alireza Tahbaz-Salehi y Andrea Vedolin. Skewness and Time-Varying Second Moments in a Nonlinear Production Network: Theory and Evidence. Cambridge, MA: National Bureau of Economic Research, noviembre de 2021. http://dx.doi.org/10.3386/w29499.
Texto completoMiller-Hooks, E. D. y H. S. Mahmassani. Least expected time paths in stochastic, time-varying transportation networks. Office of Scientific and Technical Information (OSTI), junio de 1999. http://dx.doi.org/10.2172/350896.
Texto completoWoods, A. L., E. Miller-Hooks y H. S. Mahmassani. Optimal routing of hazardous substances in time-varying, stochastic transportation networks. Office of Scientific and Technical Information (OSTI), julio de 1998. http://dx.doi.org/10.2172/663396.
Texto completoGearhart, Jared Lee y Nolan Scot Kurtz. Time-Varying, Multi-Scale Adaptive System Reliability Analysis of Lifeline Infrastructure Networks. Office of Scientific and Technical Information (OSTI), septiembre de 2014. http://dx.doi.org/10.2172/1259845.
Texto completoBowler, L. A. y H. S. Mahmassani. Routing of radioactive shipments in networks with time-varying costs and curfews. Office of Scientific and Technical Information (OSTI), septiembre de 1998. http://dx.doi.org/10.2172/291124.
Texto completoKushner, Harold J. Scheduling and Control of Mobile Communications Networks with Randomly Time Varying Channels by Stability Methods. Fort Belvoir, VA: Defense Technical Information Center, enero de 2006. http://dx.doi.org/10.21236/ada458950.
Texto completoMiles, Gaines E., Yael Edan, F. Tom Turpin, Avshalom Grinstein, Thomas N. Jordan, Amots Hetzroni, Stephen C. Weller, Marvin M. Schreiber y Okan K. Ersoy. Expert Sensor for Site Specification Application of Agricultural Chemicals. United States Department of Agriculture, agosto de 1995. http://dx.doi.org/10.32747/1995.7570567.bard.
Texto completoBielinskyi, Andrii O., Serhii V. Hushko, Andriy V. Matviychuk, Oleksandr A. Serdyuk, Сергій Олексійович Семеріков, Володимир Миколайович Соловйов, Андрій Іванович Білінський, Андрій Вікторович Матвійчук y О. А. Сердюк. Irreversibility of financial time series: a case of crisis. Криворізький державний педагогічний університет, diciembre de 2021. http://dx.doi.org/10.31812/123456789/6975.
Texto completoEvent-Triggered Adaptive Robust Control for Lateral Stability of Steer-by-Wire Vehicles with Abrupt Nonlinear Faults. SAE International, julio de 2022. http://dx.doi.org/10.4271/2022-01-5056.
Texto completo