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Relevant bibliographies by topics / Networks

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Academic literature on the topic 'Networks'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Networks"

1

Kim, Junki. "Networks, Network Governance, and Networked Networks." International Review of Public Administration 11, no. 1 (2006): 19–34. http://dx.doi.org/10.1080/12294659.2006.10805075.

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PELLEGRINI, Lilla, Monica LEBA, and Alexandru IOVANOVICI. "CHARACTERIZATION OF URBAN TRANSPORTATION NETWORKS USING NETWORK MOTIFS." Acta Electrotechnica et Informatica 20, no. 4 (2020): 3–9. http://dx.doi.org/10.15546/aeei-2020-0019.

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We use tools and techniques specific to the field of complex networks analysis for the identification and extraction of key parameters which define ”good” patterns and practices for designing public transportation networks. Using network motifs we analyze a set of 18 cities using public data sets regarding the topology of network and discuss each of the identified motifs using the concepts and tools of urban planning.

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Shydlovskyi, P., and Ya Morozova. "FOREWORD: Network Approach for Studying the Prehistoric Networks." Vita Antiqua 1, no. 10 (2018): 6–12. http://dx.doi.org/10.37098/2519-4542-2018-1-10-6-12.

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THATIPAMULA RAJU, THATIPAMULA RAJU, and D. DEEPIKA RANI D. DEEPIKA RANI. "Achieving Network Level Privacy in Wireless Sensor Networks." International Journal of Scientific Research 2, no. 8 (2012): 183–87. http://dx.doi.org/10.15373/22778179/aug2013/61.

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Yiyuan Xie, Yiyuan Xie, and Zhu Yang Zhu Yang. "All-optical network interface from backbone networks to local area networks based on semiconductor optical amplifiers." Chinese Optics Letters 11, no. 11 (2013): 110605–8. http://dx.doi.org/10.3788/col201311.110605.

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Yi-Wei Ma, Yi-Wei Ma, Jiann-Liang Chen Yi-Wei Ma, Yu-Liang Tang Jiann-Liang Chen, and Kuan-Hung Lai Yu-Liang Tang. "Towards Adaptive Network Resource Orchestration for Cognitive Radio Networks." 網際網路技術學刊 23, no. 5 (2022): 1087–97. http://dx.doi.org/10.53106/160792642022092305017.

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<p>This work proposes an adaptive resource orchestration system for a Wireless Local Area Network (WLAN) that is based on the operating principle of Cognitive Radio (CR) technology. By collecting environmental parameters, including the retransmission rate and the channel occupancy rate, the proposed system has &ldquo;knowledge&rdquo; of overall transmission behavior and can regulate transmission resources. An Adaptive Connection Assignment (ACA) mechanism is proposed for end devices; it find out target end devices with poor transmission performance, analyzes their alternative Acc

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HRABCAK, David, and Lubomir DOBOS. "THE CONCEPT OF MULTILAYERED NETWORK MODEL FOR 5G NETWORKS." Acta Electrotechnica et Informatica 19, no. 3 (2019): 39–43. http://dx.doi.org/10.15546/aeei-2019-0022.

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Yan, Erjia, and Ying Ding. "Scholarly network similarities: How bibliographic coupling networks, citation networks, cocitation networks, topical networks, coauthorship networks, and coword networks relate to each other." Journal of the American Society for Information Science and Technology 63, no. 7 (2012): 1313–26. http://dx.doi.org/10.1002/asi.22680.

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Naranjo Orovio, Consuelo. "A network of networks." HAU: Journal of Ethnographic Theory 11, no. 1 (2021): 52–66. http://dx.doi.org/10.1086/713372.

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Iedema, Rick, Raj Verma, Sonia Wutzke, Nigel Lyons, and Brian McCaughan. "A network of networks." Journal of Health Organization and Management 31, no. 2 (2017): 223–36. http://dx.doi.org/10.1108/jhom-07-2016-0146.

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Purpose To further our insight into the role of networks in health system reform, the purpose of this paper is to investigate how one agency, the NSW Agency for Clinical Innovation (ACI), and the multiple networks and enabling resources that it encompasses, govern, manage and extend the potential of networks for healthcare practice improvement. Design/methodology/approach This is a case study investigation which took place over ten months through the first author’s participation in network activities and discussions with the agency’s staff about their main objectives, challenges and achievemen

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Dissertations / Theses on the topic "Networks"

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Rivas, Antonio Canales. "Network management using active networks." Thesis, De Montfort University, 2006. http://hdl.handle.net/2086/4781.

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Wells, Daniel David. "Network management for community networks." Thesis, Rhodes University, 2010. http://hdl.handle.net/10962/d1006587.

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Community networks (in South Africa and Africa) are often serviced by limited bandwidth network backhauls. Relative to the basic needs of the community, this is an expensive ongoing concern. In many cases the Internet connection is shared among multiple sites. Community networks may also have a lack of technical personnel to maintain a network of this nature. Hence, there is a demand for a system which will monitor and manage bandwidth use, as well as network use. The proposed solution for community networks and the focus within this dissertation, is a system of two parts. A Community Access P

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Gaddam, Nishanth. "Network coding in wireless networks." [Ames, Iowa : Iowa State University], 2009. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1468982.

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Jiang, Shu. "Efficient network camouflaging in wireless networks." Texas A&M University, 2005. http://hdl.handle.net/1969.1/3067.

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Camouflaging is about making something invisible or less visible. Network camouflaging is about hiding certain traffic information (e.g. traffic pattern, traffic flow identity, etc.) from internal and external eavesdroppers such that important information cannot be deduced from it for malicious use. It is one of the most challenging security requirements to meet in computer networks. Existing camouflaging techniques such as traffic padding, MIX-net, etc., incur significant performance degradation when protected networks are wireless networks, such as sensor networks and mobile ad hoc networks.

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Bhatia, Anuj. "Voice network for aviation data networks." Thesis, Wichita State University, 2007. http://hdl.handle.net/10057/1500.

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Airline companies are always looking for various services they can offer to differentiate them from others and increase there market share. On the other hand passengers in the aircraft always want to be in touch with the rest of the world through phone or internet to make there time more productive. The drive of gaining market share by airline companies and advances in wireless and internet technology has made voice communication possible from the aircraft. Present technologies offer cell phone access or allow voice communication over internet through satellite link. The major disadvantage the

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Somalingam, Ramesh Ramvel. "Network performance monitoring for multimedia networks." Thesis, McGill University, 1996. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=23939.

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Multimedia applications require certain guarantees from the underlying system concerning quality of various parameters, such as the throughput, delay, loss rate etc. We assume that such quality of service (QoS) parameters are normally agreed upon for the duration of a session, and should be maintained throughout that session. If a QoS violation occurs, possibly due to the temporary overload of one of the system components, either the user will notice this and may request a renegotiation of the quality and cost parameters, or the system will automatically do some internal reconfiguration in ord

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Alkhawlani, Mohammed Mohssen. "Access network selection in heterogeneous networks." Thesis, De Montfort University, 2008. http://hdl.handle.net/2086/5217.

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The future Heterogeneous Wireless Network (HWN) is composed of multiple Radio Access Technologies (RATs), therefore new Radio Resource Management (RRM) schemes and mechanisms are necessary to benefit from the individual characteristics of each RAT and to exploit the gain resulting from jointly considering the whole set of the available radio resources in each RAT. These new RRM schemes have to support mobile users who can access more than one RAT alternatively or simultaneously using a multi-mode terminal. An important RRM consideration for overall HWN stability, resource utilization, user sat

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Jannotti, John 1974. "Network layer support for overlay networks." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/29274.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.<br>Includes bibliographical references (p. 98-103).<br>Overlay networks are virtual networks formed by cooperating nodes that share an underlying physical network. They represent a flexible and deployable approach for applications to obtain new network semantics without modification of the underlying network, but they suffer from efficiency concerns. This thesis presents two new primitives for implementation in the network layer (i.e., the routers of the physical network). These

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Kim, MinJi Ph D. Massachusetts Institute of Technology. "Network coding for robust wireless networks." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/71276.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student submitted PDF version of thesis.<br>Includes bibliographical references (p. 157-167).<br>Wireless networks and communications promise to allow improved access to services and information, ubiquitous connectivity, and mobility. However, current wireless networks are not well-equipped to meet the high bandwid

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Attar, Hani Hasan. "Cooperative Network Coding for wireless networks." Thesis, University of Strathclyde, 2011. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=16782.

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Books on the topic "Networks"

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Dean, Tamara. Network+ guide to networks. Course Technology, Thomson Learning, 2000.

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Jeroen, Van Schaick, Klaasen, I. T. (Ina T.), and Technische Universiteit Delft. Faculteit der Bouwkunde, eds. Urban networks: Network urbanism. Techne Press, 2008.

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Dean, Tamara. Enhanced Network+ guide to networks. Thomson/Course Technology, 2003.

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R, Coover Edwin, ed. Systems network architecture (SNA) networks. IEEE Computer Society Press, 1992.

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Coover, Edwin R. Systems network architecture (SNA) networks. IEEE Computer Society Press, 1992.

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Evans, Markuson Barbara, Network Advisory Committee, and Educom, eds. Networks for Networkers II Conference. Library of Congress, 1991.

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Reichl, Peter, Burkhard Stiller, and Bruno Tuffin, eds. Network Economics for Next Generation Networks. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01796-4.

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Abdelfatteh, Haidine, and Lehnert R, eds. Broadband powerline communications networks: Network design. Wiley, 2004.

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Blomeley, Frances. Networks and network services: A user's guide. Immediate, 1994.

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Grzech, Adam. Networks and networks' services. Edited by Politechnika Wrocławska. Wrocław University of Technology, 2010.

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Book chapters on the topic "Networks"

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de Jesús Cruz Guzmán, José, and Zbigniew Oziewicz. "Network of Networks,." In Computational Science - ICCS 2004. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24687-9_82.

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Lovell, Heather. "Networks." In Understanding Energy Innovation. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6253-9_2.

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AbstractSocial scientists study many different types of networks, from policy networks to sociotechnical networks, in order to better understand processes of change. These diverse networks have a number of characteristics in common, including interconnectedness, flows, and fragility. Exploring these characteristics in relation to smart grids helps us to better understand the social nature of energy sector innovation. In this chapter, I use these themes and concepts to assess three examples: international smart grid policy networks; a local community network on Bruny Island, Australia; and a fr

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Walrand, Jean. "Networks: A." In Probability in Electrical Engineering and Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-49995-2_5.

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AbstractSocial networks connect people and enable them to exchange information. News and rumors spread through these networks. We explore models of such propagations. The technology behind social networks is the internet where packets travel from queue to queue. We explain some key results about queueing networks.Section 5.1 explores a model of how rumors spread in a social network. Epidemiologists use similar models to study the spread of viruses. Section 5.2 explains the cascade of choices in a social network where one person’s choice is influenced by those of people she knows. Section 5.3 s

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Pyka, Andreas, and Andrea Scharnhorst. "Introduction: Network Perspectives on Innovations: Innovative Networks – Network Innovation." In Innovation Networks. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-92267-4_1.

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Tschudin, Christian. "An Active Networks Overlay Network (ANON)." In Active Networks. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-540-48507-0_14.

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Barthelemy, Marc. "Optimal Transportation Networks and Network Design." In Spatial Networks. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-94106-2_19.

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Flores-Márquez, Dorismilda. "Networks and networked society." In The Routledge Encyclopedia of Citizen Media. Routledge, 2020. http://dx.doi.org/10.4324/9781315619811-45.

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Assens, Christophe, and Aline Courie Lemeur. "From Network to “Network of Networks”." In Networks Governance, Partnership Management and Coalitions Federation. Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/9781137566638_4.

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Gopinath, Divya, Luca Lungeanu, Ravi Mangal, Corina Păsăreanu, Siqi Xie, and Huanfeng Yu. "Feature-Guided Analysis of Neural Networks." In Fundamental Approaches to Software Engineering. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-30826-0_7.

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AbstractApplying standard software engineering practices to neural networks is challenging due to the lack of high-level abstractions describing a neural network’s behavior. To address this challenge, we propose to extract high-level task-specific features from the neural network internal representation, based on monitoring the neural network activations. The extracted feature representations can serve as a link to high-level requirements and can be leveraged to enable fundamental software engineering activities, such as automated testing, debugging, requirements analysis, and formal verificat

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Ivanov, Plamen Ch, and Ronny P. Bartsch. "Network Physiology: Mapping Interactions Between Networks of Physiologic Networks." In Understanding Complex Systems. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03518-5_10.

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Conference papers on the topic "Networks"

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Krishnamoorthy, Ashok V., Fouad Kiamilev, and Sadik Esener. "A class of packet-switched extended generalized shuffle networks." In OSA Annual Meeting. Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.wv4.

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Extended generalized shuffle (EGS) networks1 have recently been proposed as a broad class of multistage interconnection networks (MINs) that include strictly non-blocking networks as well as networks with finite blocking probabilities. These networks can be viewed as extensions to generalized shuffle networks2 (GSNs) that include the facility to fan-out and fan-in at the input and output stages, respectively, of the interconnection network. We present a new class of packets-witched EGS networks. At the heart of these networks is a unipath EGS network that allows a continuous tradeoff between a

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Shi, Min, Yu Huang, Xingquan Zhu, Yufei Tang, Yuan Zhuang, and Jianxun Liu. "GAEN: Graph Attention Evolving Networks." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/213.

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Real-world networked systems often show dynamic properties with continuously evolving network nodes and topology over time. When learning from dynamic networks, it is beneficial to correlate all temporal networks to fully capture the similarity/relevance between nodes. Recent work for dynamic network representation learning typically trains each single network independently and imposes relevance regularization on the network learning at different time steps. Such a snapshot scheme fails to leverage topology similarity between temporal networks for progressive training. In addition to the stati

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Shi, Weijia, Andy Shih, Adnan Darwiche, and Arthur Choi. "On Tractable Representations of Binary Neural Networks." In 17th International Conference on Principles of Knowledge Representation and Reasoning {KR-2020}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/kr.2020/91.

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We consider the compilation of a binary neural network’s decision function into tractable representations such as Ordered Binary Decision Diagrams (OBDDs) and Sentential Decision Diagrams (SDDs). Obtaining this function as an OBDD/SDD facilitates the explanation and formal veriﬁcation of a neural network’s behavior. First, we consider the task of verifying the robustness of a neural network, and show how we can compute the expected robustness of a neural network, given an OBDD/SDD representation of it. Next, we consider a more efﬁcient approach for compiling neural networks, based on a pseudo-

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Najmon, Joel C., and Andres Tovar. "Comparing Derivatives of Neural Networks for Regression." In ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/detc2023-117571.

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Abstract In the past decades, neural networks have rapidly grown in popularity as a way to model complex non-linear relationships. The computational efficiently and flexibility of neural networks has made them popular for machine learning-based optimization methods. As such the derivative of a neural network’s output is required for gradient-based optimization algorithms. Recently, there have been several works towards improving derivatives of neural network targets, however there is yet to be done a comparative study on the different derivation methods for the derivative of a neural network’s

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Lian, F. L., J. R. Moyne, and D. M. Tilbury. "Performance Evaluation of Control Networks for Manufacturing Systems." In ASME 1999 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/imece1999-0116.

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Abstract There are many different networks which have been promoted for use in manufacturing control systems. In this paper, we discuss the features of three candidates: Ethernet (CSMA/CD), ControlNet (Token Bus) and DeviceNet (CAN Bus). We consider how each of these control networks could be used as a communication backbone for a networked control system. A detailed discussion of the medium access control protocol for each network is provided. The medium access control protocol is responsible for providing both the satisfaction of the time-critical/real-time response requirement over the netw

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Alabbasi, Yahia, Khaled Aboelenen, and Mohammed Sadeq. "New Technique for Flood Risk Assessment of Sub-Networks in Large Networks Using InfoWorks ICM: A Case Study of Qatar's Full Storm Water Network." In The 2nd International Conference on Civil Infrastructure and Construction. Qatar University Press, 2023. http://dx.doi.org/10.29117/cic.2023.0189.

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The elements of the storm water network are made to safely drain most water during a heavy rainstorm. Flood risk modelling (mathematical modelling) with hydraulic software is a good way to check the network's level of service, especially now that technology has changed. Flood risk modelling is an essential method for checking the network sufficiency and adequacy for different kinds of rain. Modelling flood risk should be done for the whole network to ensure that flows are connected and get accurate results. In this study, one-dimensional flood risk modelling is needed for a sub-network that is

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Yang, Zhun, Adam Ishay, and Joohyung Lee. "NeurASP: Embracing Neural Networks into Answer Set Programming." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/243.

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We present NeurASP, a simple extension of answer set programs by embracing neural networks. By treating the neural network output as the probability distribution over atomic facts in answer set programs, NeurASP provides a simple and effective way to integrate sub-symbolic and symbolic computation. We demonstrate how NeurASP can make use of a pre-trained neural network in symbolic computation and how it can improve the neural network's perception result by applying symbolic reasoning in answer set programming. Also, NeurASP can make use of ASP rules to train a neural network better so that a n

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Roland, C. M., P. G. Santangelo, and P. H. Mott. "Elastic Response of Rubber Double Networks." In ASME 1999 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/imece1999-0933.

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Abstract Double network elastomers are formed by twice-curing rubber, the second time while the material is deformed. When measured parallel to the curing deformation, the equilibrium modulus of a double network exceeds that of an isotropic elastomer of equal crosslink density. This difference increases with increasing strain. Despite the higher modulus, the mechanical fatigue lifetimes of double networks of natural rubber were found to be as much as a factor of ten higher than for the conventionally crosslinked rubber. The double network’s tensile strength, on the other hand, was slightly low

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Hadi, Mohammad F., and Victor H. Barocas. "Generating Random Fiber Network Topologies That Mimic Previously Characterized Networks." In ASME 2013 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/sbc2013-14615.

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Fibrous proteins, such as collagen and elastin, form the underlying structure of many soft tissues. These proteins form micrometer-scale networks of varying topology that play a role in governing the mechanics of tissues at larger length scales [1]. The relationship between a network’s topology and its mechanics, however, are poorly understood. This disconnect presents an important challenge in constructing realistic multiscale models of tissues informed by collagen network micrographs and subsequently reconstructed networks [2]. Accurate multiscale simulations may require thousands to million

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Louri, Ahmed, Hongki Sung, Yoonkeon Moon, and Bernard P. Zeigler. "An Efficient Signal Distinction Scheme for Large-scale Free-space Optical Networks Using Genetic Algorithms." In Photonics in Switching. Optica Publishing Group, 1995. http://dx.doi.org/10.1364/ps.1995.pthc5.

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Free-space optical interconnection networks can be classified into two types, space variant and space invariant, according to the degree of space variance [1]. The degree of space variance determines the network’s complexity and regularity. A totally space variant network allows a completely arbitrary interconnection between nodes, whereas a totally space invariant network has a definite, regular structure with all the nodes having the same connection patterns. In terms of physical implementations, the degree of space variance can be interpreted as the degree of sharing beam steering optics am

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Reports on the topic "Networks"

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Sentz, Kari, and Jacob Green. Threat Network: Network of Networks Graphic. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1162150.

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Gont, F., and T. Chown. Network Reconnaissance in IPv6 Networks. RFC Editor, 2016. http://dx.doi.org/10.17487/rfc7707.

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Kornell, James. Network of Networks Final Report 2016. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1755855.

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Kornell, James. Network of Networks Final Report 2016. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1755855.

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Lin, Mengjou, Jenwei Hsieh, David H. Du, Joseph P. Thomas, and James A. MacDonald. Distributed Network Computing Over Local ATM Networks. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada388752.

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Sutton, Jeffrey P. Reconfigurable Network of Networks for Multiscale Computing. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada389675.

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Stanley, H. E. Threats Networks and Threatened Networks. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada428870.

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Miller, Jack. Heat networks. Parliamentary Office of Science and Technology, 2020. http://dx.doi.org/10.58248/pn632.

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A heat network provides heating and hot water to an apartment, commercial site or series of buildings close together. It can also provide cooling. There is interest in using them to help reduce greenhouse gas emissions from UK buildings. This POSTnote looks at the technology of heat networks and their sources of heat. It looks at considerations when building new networks. It also outlines a potential future market framework.

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Zhang, Junshan. Networked Information Gathering in Stochastic Sensor Networks: Compressive Sensing, Adaptive Network Coding and Robustness. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada590144.

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Sutton, Jeffrey. Reconfigurable Network of Networks for Multi-Scale Computing. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada405332.

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