Academic literature on the topic 'Connected networks'
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Journal articles on the topic "Connected networks"
Treur, Jan. "Analysis of a network’s asymptotic behavior via its structure involving its strongly connected components." Network Science 8, S1 (October 1, 2019): S82—S109. http://dx.doi.org/10.1017/nws.2019.24.
Full textStone, Tim. "Protecting connected transportation networks." Network Security 2018, no. 12 (December 2018): 8–10. http://dx.doi.org/10.1016/s1353-4858(18)30125-9.
Full textDunbar, Robin. "Social networks: Getting connected." New Scientist 214, no. 2859 (April 2012): ii—iii. http://dx.doi.org/10.1016/s0262-4079(12)60855-0.
Full textMajetich, SA, AC Carter, R. D. McCullough, J. Seth, and J. A. Belot. "Connected CdSe nanocrystallite networks." Zeitschrift f�r Physik D Atoms, Molecules and Clusters 26, S1 (March 1993): 210–12. http://dx.doi.org/10.1007/bf01425667.
Full textJohnston, A. "Networks as Connected Contracts." Industrial Law Journal 41, no. 3 (September 1, 2012): 374–79. http://dx.doi.org/10.1093/indlaw/dws022.
Full textQuillinan, J. "The connected building [Internet connected building control networks]." IEE Review 51, no. 4 (April 1, 2005): 44–47. http://dx.doi.org/10.1049/ir:20050405.
Full textBläser, Markus, Andreas Jakoby, Maciej Liskiewicz, and Bodo Manthey. "Private Computation: k-Connected versus 1-Connected Networks." Journal of Cryptology 19, no. 3 (May 27, 2005): 341–57. http://dx.doi.org/10.1007/s00145-005-0329-x.
Full textFirat, Mehmet. "Analysis of 3D Virtual Worlds as Connected Knowledge Networks." International Journal of Information and Education Technology 4, no. 2 (2014): 203–7. http://dx.doi.org/10.7763/ijiet.2014.v4.399.
Full textBuechel, Berno, and Tim Hellmann. "Under-connected and over-connected networks: the role of externalities in strategic network formation." Review of Economic Design 16, no. 1 (February 15, 2012): 71–87. http://dx.doi.org/10.1007/s10058-012-0114-x.
Full textWu, Qingxiu, Zhanji Gui, Shuqing Li, and Jun Ou. "Directly Connected Convolutional Neural Networks." International Journal of Pattern Recognition and Artificial Intelligence 32, no. 05 (January 3, 2018): 1859007. http://dx.doi.org/10.1142/s0218001418590073.
Full textDissertations / Theses on the topic "Connected networks"
Bai, Xiaole. "Optimal Connected Coverage for Wireless Sensor Networks." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1259772831.
Full textKim, Kyoung Min Sun Min-Te. "Multi initiator connected dominating set construction for mobile ad hoc networks." Auburn, Ala, 2008. http://hdl.handle.net/10415/1549.
Full textHill, Robert M. Martin Barbara N. "Leadership capacity in a complex connected age." Diss., Columbia, Mo. : University of Missouri--Columbia, 2009. http://hdl.handle.net/10355/7033.
Full textLiu, Feng. "Symmetrically multi-connected optical fiber wide area networks." Thesis, University of Ottawa (Canada), 1994. http://hdl.handle.net/10393/6704.
Full textCanning, Andrew Magnus. "Ising spin models of partially connected neural networks." Thesis, University of Edinburgh, 1988. http://hdl.handle.net/1842/13304.
Full textMabuza, Sicelo Msuthu. "Stability of distribution networks connected with distributed generation." Master's thesis, University of Cape Town, 2002. http://hdl.handle.net/11427/22460.
Full textThis thesis describes an investigation into the stability of distribution networks that are connected with distributed generators. Due to the restructuring of the electricity industry in the region as well as environmental concerns, distributed generation is bound to increase at a higher rate in the Southern African region in the near future. Southern Africa, like many other developing regions, is dominated by electrically weak distribution networks that have relatively high impedance lines. These networks suffer extreme voltage fluctuations when a transient disturbance occurs on the network. The distributed generators are connected onto distribution networks that were designed to operate without any generation, but were designed to receive power from the transmission networks. Once distributed generators are connected to distribution networks, a number of technical challenges are presented. One of the technical challenges includes investigating the stability of distribution networks connected with distributed generation. It would be beneficial to know what effect the connection of distributed generators onto distribution networks would have on the system stability. This is because if the connection of distributed generators onto distribution networks increases instability on the network, the quality of supply of that network would be degraded, therefore the connection of distributed generators must be limited or methods of improving the stability must be implemented. It is important to establish the measures that can be taken to make sure that the generators react in a stable manner when subjected to disturbances and to make sure that the local system stability is not compromised. The first objective of this thesis was to identify the types of generators that are likely to be connected to Southern African distribution networks and investigate their stability. The next objective was to design model distribution networks that would be utilised to highlight key stability issues that are raised when distributed generation is connected to distribution networks. The third objective was to conduct and analyse stability studies on model as well as existing Southern African distribution networks connected with distributed generation, including the assessment of the implications of potential instability such as on the quality of supply. The last objective was to identify various ways of improving the stability of distribution networks that are connected with distributed generation.
Hiselius, Leo. "Stimulus representation in anisotropically connected spiking neural networks." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-300153.
Full textBiologiska neurala nätverk är ett centralt studieobjekt inom beräkningsneurovetenskapen, och nyliga studier har även visat deras potentiella applicerbarhet inom artificiell intelligens och robotik [1]. De kan formuleras på många olika sätt, och ett välkänt och vida studerat exempel är liquid state machine från 2004 [2]. 2019 presenterades en ny och enkel kopplingsregel i SpreizerNätverket [3]. Kopplingarna i SpreizerNätverket styrs av en typ av gradientbrus vid namn Perlinbrus, och som sådana är de anisotropiska men korrelerade. Spikdatan som genereras av SpreizerNätverket är möjligtvis betydelsefull för funktion, till exempel för motorisk kontroll eller separation av stimuli. 2020 visade Michaelis m. fl. att spikdatan var relevant för motorisk kontroll [4]. I denna masteruppsats frågar vi oss om spikdatan är funktionellt relevant för stimulusrepresentation. Vi undersöker hur stimulus från MNIST handwritten digits -datasetet representeras i de spatiotemporella aktivitetssekvenserna som genereras i SpreizerNätverket, och huruvida denna representation är tillräcklig för separation.Vidare betraktar vi hur parametrarna som styr den lokala kopplingsstrukturen påverkar representation och separation. Vi visar att (1) SpreizerNätverket separerar stimuli i ett initialt skede efter stimuli och (2) att separationen minskar med tid när aktiviteten från olika stimuli blir enhetlig.
Makke, Ali. "Pervasive Service Provisioning in Intermittently Connected Hybrid Networks." Thesis, Lorient, 2015. http://www.theses.fr/2015LORIS362/document.
Full textThe vision of pervasive computing of building interactive smart spaces in the physical environment is gradually heading from the research domain to reality. Computing capacity is moving beyond personal computers to many day-to-day devices, and these devices become, thanks to multiple interfaces, capable of communicating directly with one another or of connecting to the Internet.In this thesis, we are interested in a kind of pervasive computing environment that forms what we call an Intermittently Connected Hybrid Network (ICHN). An ICHN is a network composed of two parts: a fixed and a mobile part. The fixed part is formed of some fixed infostations (potentially connected together with some fixed infrastructure, typically the Internet). The mobile part, on the other hand, is formed of smartphones carried by nomadic people. While the fixed part is mainly stable, the mobile part is considered challenging and form what is called an Opportunistic Network. Indeed, relying on short-range communication means coupled with the free movements of people and radio interferences lead to frequent disconnections. To perform a network-wide communication, the "store, carry and forward" approach is usually applied. With this approach, a message can be stored temporarily on a device, in order to be forwarded later when circumstances permit. Any device can opportunistically be used as an intermediate relay to facilitate the propagation of a message from one part of the network to another. In this context, the provisioning of pervasive services is particularly challenging, and requires revisiting important components of the provisioning process, such as performing pervasive service discovery and invocation with the presence of connectivity disruptions and absence of both end-to-end paths and access continuity due to user mobility. This thesis addresses the problems of providing network-wide service provisioning in ICHNs and proposes solutions for pervasive service discovery, invocation and access continuity. Concerning service discovery challenge, we propose TAO-DIS, a service discovery protocol that performs an automatic and fast service discovery mechanism. TAO-DIS takes into account the hybrid nature of an ICHN and that the majority of services are provided by infostations. It permits mobile users to discover all the services in the surrounding environment in order to identify and choose the most convenient ones. To allow users to interact with the discovered services, we introduce TAO-INV. TAO-INV is a service invocation protocol specifically designed for ICHNs. It relies on a set of heuristics and mechanisms that ensures performing efficient routing of messages (both service requests and responses) between fixed infostations and mobile clients while preserving both low values of overhead and round trip delays. Since some infostations in the network might be connected, we propose a soft handover mechanism that modifies the invocation process in order to reduce service delivery delays. This handover mechanism takes into consideration the opportunistic nature of the mobile part of the ICHN. We have performed various experiments to evaluate our solutions and compare them with other protocols designed for ad hoc and opportunistic networks. The obtained results tend to prove that our solutions outperform these protocols, namely thanks to the optimizations we have developed for ICHNs. In our opinion, building specialized protocols that benefit from techniques specifically designed for ICHNs is an approach that should be pursued, in complement with research works on general-purpose communication protocols
Shishani, Basel. "Segmentation of connected text using constrained neural networks." Thesis, Queensland University of Technology, 1997.
Find full textMILES, RICHARD BRENT. "STRONGLY CONNECTED COMPONENTS AND STEADY STATES IN GENE REGULATORY NETWORKS." University of Cincinnati / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1195439442.
Full textBooks on the topic "Connected networks"
Networks as connected contracts. Oxford, [England]: Hart Pub., 2011.
Find full textTeubner, Gunther. Networks as connected contracts. Oxford, [England]: Hart Pub., 2011.
Find full textHoppensteadt, Frank C., and Eugene M. Izhikevich. Weakly Connected Neural Networks. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1828-9.
Full textM, Izhikevich Eugene, ed. Weakly connected neural networks. New York: Springer, 1997.
Find full textHoppensteadt, Frank C. Weakly Connected Neural Networks. New York, NY: Springer New York, 1997.
Find full textChristakis, Nicholas A. Connected. New York: Little, Brown and Company, 2009.
Find full textJamalipour, Abbas, and Yaozhou Ma. Intermittently Connected Mobile Ad Hoc Networks. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1572-5.
Full textPatrick, Purcell, ed. Networked neighbourhoods: The connected community in context. London: Springer, 2006.
Find full textBroy, Manfred, Ingolf H. Krüger, and Michael Meisinger, eds. Automotive Software – Connected Services in Mobile Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11823063.
Full textRosenberg, Chadd. Get connected: The social networking toolkit for business. Irvine: Jere L. Calmes, 2009.
Find full textBook chapters on the topic "Connected networks"
Buttazzo, Giuseppe, Sergio Solimini, Aldo Pratelli, and Eugene Stepanov. "Optimal connected networks." In Lecture Notes in Mathematics, 1–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-85799-0_3.
Full textHoppensteadt, Frank C., and Eugene M. Izhikevich. "Neural Networks." In Weakly Connected Neural Networks, 103–10. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1828-9_3.
Full textHoppensteadt, Frank C., and Eugene M. Izhikevich. "Weakly Connected Oscillators." In Weakly Connected Neural Networks, 247–93. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1828-9_9.
Full textRenart, Alfonso, Néstor Parga, and Edmund T. Rolls. "Connected cortical recurrent networks." In Lecture Notes in Computer Science, 163–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/bfb0098170.
Full textYagawa, Genki, and Atsuya Oishi. "Mutually Connected Neural Networks." In Lecture Notes on Numerical Methods in Engineering and Sciences, 31–34. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66111-3_4.
Full textWu, Weili, Zhao Zhang, Wonjun Lee, and Ding-Zhu Du. "Connected Sensor Cover." In Optimal Coverage in Wireless Sensor Networks, 33–65. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52824-9_4.
Full textHoppensteadt, Frank C., and Eugene M. Izhikevich. "Introduction." In Weakly Connected Neural Networks, 3–24. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1828-9_1.
Full textHoppensteadt, Frank C., and Eugene M. Izhikevich. "Multiple Andronov-Hopf Bifurcation." In Weakly Connected Neural Networks, 297–309. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1828-9_10.
Full textHoppensteadt, Frank C., and Eugene M. Izhikevich. "Multiple Cusp Bifurcation." In Weakly Connected Neural Networks, 311–35. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1828-9_11.
Full textHoppensteadt, Frank C., and Eugene M. Izhikevich. "Quasi-Static Bifurcations." In Weakly Connected Neural Networks, 337–51. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1828-9_12.
Full textConference papers on the topic "Connected networks"
Corinto, Fernando, Marco Gilli, and Tamas Roska. "Locally connected oscillatory networks acting as fully connected oscillatory networks." In 2010 IEEE International Symposium on Circuits and Systems - ISCAS 2010. IEEE, 2010. http://dx.doi.org/10.1109/iscas.2010.5537187.
Full textSettembre, Marina. "Towards a hyper-connected world." In 2012 XVth International Telecommunications Network Strategy and Planning Symposium (NETWORKS). IEEE, 2012. http://dx.doi.org/10.1109/netwks.2012.6381667.
Full textAltamimi, Ahmed B., and T. Aaron Gulliver. "On Network Coding in Intermittently Connected Networks." In 2014 IEEE 80th Vehicular Technology Conference (VTC Fall). IEEE, 2014. http://dx.doi.org/10.1109/vtcfall.2014.6966080.
Full textHuang, Gao, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q. Weinberger. "Densely Connected Convolutional Networks." In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2017. http://dx.doi.org/10.1109/cvpr.2017.243.
Full textWang, Guangrun, Keze Wang, and Liang Lin. "Adaptively Connected Neural Networks." In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2019. http://dx.doi.org/10.1109/cvpr.2019.00188.
Full textGupta, Kavya, and Angshul Majumdar. "Sparsely connected autoencoder." In 2016 International Joint Conference on Neural Networks (IJCNN). IEEE, 2016. http://dx.doi.org/10.1109/ijcnn.2016.7727437.
Full textKaur, Manveen, G. G. Md Nawaz Ali, Anjan Rayamajhi, Beshah Ayalew, and Jim Martin. "Network Driven Performance Analysis in Connected Vehicular Networks." In 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall). IEEE, 2019. http://dx.doi.org/10.1109/vtcfall.2019.8891383.
Full textKim, Si-Jung, Bong-Han Kim, Sang-Soo Yeo, and Do-Eun Cho. "Network Anomaly Detection for M-Connected SCADA Networks." In 2013 Eighth International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA). IEEE, 2013. http://dx.doi.org/10.1109/bwcca.2013.61.
Full textBrown, Andrew, Pascal Mettes, and Marcel Worring. "4-Connected Shift Residual Networks." In 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). IEEE, 2019. http://dx.doi.org/10.1109/iccvw.2019.00248.
Full textJacquet, Philippe, and Bernard Mans. "Routing in Intermittently Connected Networks: Age Rumors in Connected Components." In 2007 IEEE International Conference on Pervasive Computing and Communications Workshops. IEEE, 2007. http://dx.doi.org/10.1109/percomw.2007.101.
Full textReports on the topic "Connected networks"
Spears, William M., Lora Billings, and Ira B. Schwartz. Modeling Viral Epidemiology in Connected Networks. Fort Belvoir, VA: Defense Technical Information Center, March 2001. http://dx.doi.org/10.21236/ada389278.
Full textLindgren, A., A. Doria, E. Davies, and S. Grasic. Probabilistic Routing Protocol for Intermittently Connected Networks. RFC Editor, August 2012. http://dx.doi.org/10.17487/rfc6693.
Full textHansen, Jeffrey. Real-Time Mobile Applications in Intermittently Connected Networks. Fort Belvoir, VA: Defense Technical Information Center, October 2014. http://dx.doi.org/10.21236/ada611206.
Full textDauskardt, Reinhold. Mechanical Behavior of Hybrids with Hyper-Connected Molecular Networks. Office of Scientific and Technical Information (OSTI), February 2021. http://dx.doi.org/10.2172/1765147.
Full textSpaulding, Shayne Spaulding. Getting Connected: Strategies for Expanding the Employment Networks of Low-Income People. Philadelphia, PA United States: Public/Private Ventures, November 2005. http://dx.doi.org/10.15868/socialsector.556.
Full textKwiat, Paul, Eric Chitambar, Andrew Conrad, and Samantha Isaac. Autonomous Vehicle-Based Quantum Communication Network. Illinois Center for Transportation, September 2022. http://dx.doi.org/10.36501/0197-9191/22-020.
Full textDroogan, Julian, Lise Waldek, Brian Ballsun-Stanton, and Jade Hutchinson. Mapping a Social Media Ecosystem: Outlinking on Gab & Twitter Amongst the Australian Far-right Milieu. RESOLVE Network, September 2022. http://dx.doi.org/10.37805/remve2022.6.
Full textMay, Julian, Imogen Bellwood-Howard, Lídia Cabral, Dominic Glover, Claudia Job Schmitt, Márcio Mattos de Mendonça, and Sérgio Sauer. Connecting Food Inequities Through Relational Territories. Institute of Development Studies, December 2022. http://dx.doi.org/10.19088/ids.2022.087.
Full textKong, Weiqiang, Simon Furbo, and Jianhua Fan. Simulation and design of collector array units within large systems. IEA SHC Task 55, October 2019. http://dx.doi.org/10.18777/ieashc-task55-2019-0005.
Full textWerny, Rafaela, Marie Reich, Miranda Leontowitsch, and Frank Oswald. EQualCare Policy Report Germany : Alone but connected? Digital (in)equalities in care work and generational relationships among older people living alone. Frankfurter Forum für interdisziplinäre Alternsforschung, Goethe-Universität Frankfurt am Main, October 2022. http://dx.doi.org/10.21248/gups.69905.
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