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Letteratura scientifica selezionata sul tema "Computer networks – Quality control"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 31 gennaio 2023

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Articoli di riviste sul tema "Computer networks – Quality control"

1

Khafidin, Ahmad, Tatyantoro Andrasto, and Suryono Suryono. "Implementation flow control to improve quality of service on computer networks." Indonesian Journal of Electrical Engineering and Computer Science 16, no. 3 (December 1, 2019): 1474. http://dx.doi.org/10.11591/ijeecs.v16.i3.pp1474-1481.

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<p>Quality of Service (QoS) is the collective effect of service performances, which determine the degree of satisfaction of a user of the service. In addition, QoS defined as the ability of a network to provide good service. QoS aims to provide different quality of services for various needs in the IP network. QoS parameters that can be used to analyze the data communication services are jitter, packet loss, throughput, and delay. The quality of QoS parameters in the network is affected by congestion. Congestion occurs because there is an excessive queue in the network. Congestion can be

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2

Kim, Dae-Young, Dae-sik Ko, and Seokhoon Kim. "Network Access Control for Location-Based Mobile Services in Heterogeneous Wireless Networks." Mobile Information Systems 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/6195024.

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Recent advances in information communication technology and software have enabled mobile terminals to employ various capabilities as a smartphone. They adopt multiple interfaces for wireless communication and run as a portable computer. Mobile services are also transferred from voice to data. Mobile terminals can access Internet for data services anytime anywhere. By using location-based information, improved mobile services are enabled in heterogeneous networks. In the mobile service environment, it is required that mobile terminals should efficiently use wireless network resources. In additi

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3

Slabyshev, Mykhailo O., and Anatolij G. Berdnikov. "Model of control access process in wireless computer network." 47, no. 47 (September 28, 2020): 72–79. http://dx.doi.org/10.26565/2304-6201-2020-47-06.

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The problem of ensuring the minimum delivery time of information with prevention of collisions is a pressing problem in ACS TP, since collisions often occur during transmission or the delay time of information is not optimal. This problem is solved by the use of wireless computer networks and methods of information transmission with collision prevention, which affect the delay time of information transmission. The developed model of the access control process in wireless computer networks solves the problem of effective information transfer with collision prevention. The purpose of using this

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4

Chromy, Erik, Marcel Jadron, and Tomas Behul. "Admission Control Methods in IP Networks." Advances in Multimedia 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/918930.

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Telecommunications operators and research institutions pay close attention to the issue of quality of service. The paper deals with methods of admission control in IP networks, which is only one of the subsets of quality of service. There are two large groups of AC methods: parameter-based admission control and measurement-based admission control. The core of the paper is simulation of AC methods and algorithms for topology model in MATLAB. Our simulations are mainly focused on required bandwidth and loss rates. At the end of the paper there are compared results of simulations.

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Pencheva, Evelina, and Ivaylo Atanasov. "Open Access to Control on Quality of Service in Convergent Networks." International Journal of Information Technology and Web Engineering 5, no. 2 (April 2010): 53–74. http://dx.doi.org/10.4018/jitwe.2010040104.

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This paper investigates the capabilities for open access to quality of service management in convergent networks. Based on the analysis of requirements for policy and charging control in Internet Protocol Multimedia Subsystem (IMS), functions for quality of service (QoS) management and charging that are available for third party applications are identified. The functionality of Open Service Access (OSA) and Parlay X interfaces is evaluated for support of dynamic QoS control, while an approach to development of OSA compliant application programming interfaces for QoS management in IMS networks

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6

Guglielmi, N., R. Guerrieri, and G. Baccarani. "Highly constrained neural networks for industrial quality control." IEEE Transactions on Neural Networks 7, no. 1 (January 1996): 206–13. http://dx.doi.org/10.1109/72.478406.

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Rodríguez Cadena, Katherin, and Frank Nixon Giraldo Ramos. "Artificial neuronal networks for optical inspection in PCB quality control." Visión electrónica 11, no. 2 (November 28, 2017): 169–78. http://dx.doi.org/10.14483/22484728.14619.

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This paper is the result of the research work on the application of an artificial neural network algorithm applied in decision making in the process of AIO (Automatic Optical Inspection) for quality control from an electronic prototyping company, generating models for the assurance of Quality in the PCB (Printed Circuit Board) product, covering the fields of decision making, quality management, production processes, neural computer systems and artificial vision among others. It is intended to develop an algorithm of artificial neural networks that provides an approach to human recognition and

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Mikov, A. I., and A. A. Mikov. "Managing dynamic graphs of mobile computer networks with random disturbances." Informatization and communication, no. 2 (April 30, 2020): 136–42. http://dx.doi.org/10.34219/2078-8320-2020-11-2-136-142.

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We consider mobile computer networks whose stationary movements are forced to change at some points in time by external control actions or random disturbances. External influence can be aimed at the transition of the network to another stationary movement, but during the transition period there is a danger of decreasing the reliability of the network, the quality of its functioning, and even the threat of operability. One of the reasons for this is the rapid change in the topological (graph) characteristics of the network — the loss of connectivity of the dynamic graph of the network, the chan

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9

Mahul, Antoine, and Alex Aussem. "Distributed Neural Networks for Quality of Service Estimation in Communication Networks." International Journal of Computational Intelligence and Applications 03, no. 03 (September 2003): 297–308. http://dx.doi.org/10.1142/s1469026803000999.

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We study an original scheme based on distributed feedforward neural networks, aimed at modelling several queueing systems in cascade fed with bursty traffic. For each queueing system, a neural network is trained to anticipate the average number of waiting packets, the packet loss rate and the coefficient of variation of the packet inter-departure time, given the mean rate, the peak rate and the coefficient of variation of the packet inter-arrival time. The latter serves for the calculation of the coefficient of variation of the cell inter-arrival time of the aggregated traffic which is fed as

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10

Nwazor, Nkolika Ogechukwu, and Eliezar Elisha Audu. "Data communications network for real-time industrial control systems." Nigerian Journal of Technological Development 19, no. 1 (June 6, 2022): 48–58. http://dx.doi.org/10.4314/njtd.v19i1.6.

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The advancements in network technologies and the evolution of the Internet of Things (IoT) have made supporting industrial control systems over probabilistic data networks promising. However, control systems’ communication over the traditional data networks is faced with problems of instability in feedback control and poor quality of performance due to time-varying data propagation delay. This paper presents two approaches that can enable real-time industrial control over non-deterministic computer networks allowing control system designers to take advantage of the existing communication infra

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Tesi sul tema "Computer networks – Quality control"

1

Tam, Wing-yan, and 譚泳茵. "Quality of service routing with path information aggregation." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B36782956.

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Saraireh, Mohammad Suleiman Abdul-Qader. "Medium access control mechanisms for quality of service in wireless computer networks." Thesis, Sheffield Hallam University, 2006. http://shura.shu.ac.uk/20325/.

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The fast growth and development of wireless computer networks and multimedia applications means it is essential that these applications can be transmitted over the standard IEEE 802.11 Medium Access Control (MAC) protocol with high Quality of Service (QoS). The lack of QoS in the standard IEEE 802.11 Distributed Coordination Function (DCF) results in applications with considerably different QoS requirements receiving similar network services. This means, the performance of time-sensitive applications with stringent delay, jitter, and packet loss requirements will not be met. Even time-insensit

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3

Chang, Xiaolin. "On improving Internet quality of service using a control theoretic approach /." View abstract or full-text, 2005. http://library.ust.hk/cgi/db/thesis.pl?COMP%202005%20CHANG.

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Foulkes, Philip James. "An investigation into the control of audio streaming across networks having diverse quality of service mechanisms." Thesis, Rhodes University, 2012. http://hdl.handle.net/10962/d1004865.

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The transmission of realtime audio data across digital networks is subject to strict quality of service requirements. These networks need to be able to guarantee network resources (e.g., bandwidth), ensure timely and deterministic data delivery, and provide time synchronisation mechanisms to ensure successful transmission of this data. Two open standards-based networking technologies, namely IEEE 1394 and the recently standardised Ethernet AVB, provide distinct methods for achieving these goals. Audio devices that are compatible with IEEE 1394 networks exist, and audio devices that are compati

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Blanpain, Yannick. "A scalable and deployable approach for achieving fair rate allocation in high speed networks." Thesis, Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/14868.

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Li, Wei. "Artificial neural networks for quality control of seam pucker on textiles." Click to view the E-thesis via HKUTO, 2008. http://sunzi.lib.hku.hk/hkuto/record/B41508312.

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Li, Wei, and 李巍. "Artificial neural networks for quality control of seam pucker on textiles." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2008. http://hub.hku.hk/bib/B41508312.

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Zafer, Murtaza Abbasali 1979. "Dynamic rate-control and scheduling algorithms for quality-of-service in wireless networks." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/42241.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.<br>Includes bibliographical references (p. 195-202).<br>Rapid growth of the Internet and multimedia applications, combined with an increasingly ubiquitous deployment of wireless systems, has created a huge demand for providing enhanced data services over wireless networks. Invariably, meeting the quality-of-service requirements for such services translates into stricter packet-delay and throughput constraints on communication. In addition, wireless systems have stringent limitati

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Rakotoarivelo, Thierry Electrical Engineering &amp Telecommunications Faculty of Engineering UNSW. "Distributed discovery and management of alternate internet paths with enhanced quality of service." Awarded by:University of New South Wales. School of Electrical Engineering and Telecommunications, 2006. http://handle.unsw.edu.au/1959.4/27316.

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The convergence of recent technology advances opens the way to new ubiquitous environments, where network-enabled devices collectively form invisible pervasive computing and networking environments around the users. These users increasingly require extensive applications and capabilities from these devices. Recent approaches propose that cooperating service providers, at the edge of the network, offer these required capabilities (i.e services), instead of having them directly provided by the devices. Thus, the network evolves from a plain communication medium into an endless source of services

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Benfattoum, Youghourta, and Youghourta Benfattoum. "Network coding for quality of service in wireless multi-hop networks." Phd thesis, Université Paris Sud - Paris XI, 2012. http://tel.archives-ouvertes.fr/tel-00763375.

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In this thesis we deal with the application of Network Coding to guarantee the Quality of Service (QoS) for wireless multi-hop networks. Since the medium is shared, wireless networks suffer from the negative interference impact on the bandwidth. It is thus interesting to propose a Network Coding based approach that takes into account this interference during the routing process. In this context, we first propose an algorithm minimizing the interference impact for unicast flows while respecting their required bandwidth. Then, we combine it with Network Coding to increase the number of admitted

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Libri sul tema "Computer networks – Quality control"

1

Vaughan, Collin. Network quality of service. Hauppauge, N.Y: Nova Science Publishers, 2011.

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2

Xiaolei, Guo, ed. Quality of service control in high-speed networks. New York: Wiley, 2002.

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OSS for telecom networks: An introduction to network management. New York: Springer, 2004.

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4

Marchese, Mario. QoS over heterogeneous networks. Chichester: John Wiley & Sons, 2007.

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5

Abdelhamid, Mellouk, ed. End-to-end quality of service: Engineering in next generation heterogeneous networks. London: ISTE, 2008.

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6

Network quality of service: Know it all. Burlington, MA: Elsevier/Morgan Kaufmann, 2008.

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7

Bhattarakosol, Pattarasinee. Intelligent quality of service technologies and network management: Models for enhancing communication. Hershey, PA: Information Science Reference, 2010.

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8

Torsten, Braun, ed. End-to-end quality of service over heterogeneous networks. Berlin: Springer-Verlag, 2008.

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L, Della Maggiora Paul, ed. Performance and fault management. Indianapolis, IN: Cisco Press, 2000.

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Wang, Ning. Recent advances in providing QoS and reliability in the future Internet backbone. Hauppauge, N.Y: Nova Science Publishers, 2011.

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Capitoli di libri sul tema "Computer networks – Quality control"

1

Garg, Rachit Mohan, Kapil Kumar, and Yamini Sood. "Cost Control and Quality Maintenance Metrics for Component- Based Software Development." In Computer Networks and Information Technologies, 478–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19542-6_92.

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2

Stützle, Thomas. "A neural network approach to Quality Control Charts." In Lecture Notes in Computer Science, 1135–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-59497-3_295.

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3

Kim, Minsu, and Kwangsue Chung. "Adaptive Quality Control Scheme to Improve QoE of Video Streaming in Wireless Networks." In Lecture Notes in Computer Science, 8–17. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05755-8_2.

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Bür, Kaan, and Cem Ersoy. "Admission Control for Multicast Routing with Quality of Service in Ad Hoc Networks." In Computer and Information Sciences - ISCIS 2005, 44–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11569596_7.

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Ghaderi, Majid, Raouf Boutaba, and Gary W. Kenward. "Stochastic Admission Control for Quality of Service in Wireless Packet Networks." In NETWORKING 2005. Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communications Systems, 1309–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11422778_105.

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Dudin, Alexander, Chesoong Kim, and Sergey Dudin. "Optimal Control by the Queue with Rate and Quality of Service Depending on the Amount of Harvested Energy as a Model of the Node of Wireless Sensor Network." In Distributed Computer and Communication Networks, 165–78. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36614-8_13.

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Baratta, Daniela, Gian Marco Bo, Daniele D. Caviglia, Maurizio Valle, Giovanni Canepa, Riccardo Parenti, and Carla Penno. "A hardware implementation of hierarchical Neural Networks for real-time quality control systems in industrial applications." In Lecture Notes in Computer Science, 1229–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0020319.

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Tadayon, Farhad, and Jay Lee. "An integrated automated root cause identification fuzzy neural network reasoning for quality control." In Computer-aided Maintenance, 170–80. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5305-2_8.

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Canonico, Roberto, Francesco Flammini, Stefano Marrone, Roberto Nardone, and Valeria Vittorini. "Automatic Generation of Domain-Aware Control Plane Logic for Software Defined Railway Communication Networks." In Lecture Notes in Computer Science, 308–20. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19762-8_23.

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AbstractThe emergence of 5G technologies opens up new opportunities for railway communications. One of the foundational aspects of 5G architecture is its control-plane programmability, which can be achieved through Software Defined Networking (SDN). In railway scenarios, this can be used to dynamically reconfigure the network for a more effective and efficient management of communication flows produced by moving trains. The paper presents a framework for integrating modelling and analysis tools into a programmable control plane specifically tailored to railway communications. We introduce the concept of domain-awareness in the network control plane as an SDN-enabled feature that allows achieving application-specific advantages besides those purely expressed in terms of key performance indicators such as the quality of service. We propose a reference architecture in which domain-awareness in the control plane is obtained by considering information gathered by network devices and ad-hoc communication gateways that are able to detect relevant signalling events. In the architecture, the actual behaviour of the SDN controller is governed by applications that are able to react to specific triggers and re-configure network devices accordingly. We also provide a methodological framework based on model-driven engineering and formal methods, including dynamic state machines, for the automatic generation of SDN control plane logic.

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Penhaker, Marek, Monika Darebnikova, and Martin Cerny. "Sensor Network for Measurement and Analysis on Medical Devices Quality Control." In Communications in Computer and Information Science, 182–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22729-5_16.

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Atti di convegni sul tema "Computer networks – Quality control"

1

Li, Peiliang, Hong Wang, and Yanru Jiao. "Medical quality control and management based on computer management system." In 3rd International Conference on Green Communications and Networks. Southampton, UK: WIT Press, 2014. http://dx.doi.org/10.2495/gcn130952.

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Huang, Xishi, and Jing Ren. "Quality Control on Manufacturing Computer Keyboards Using Multilevel Deep Neural Networks." In 2020 IEEE 6th International Conference on Control Science and Systems Engineering (ICCSSE). IEEE, 2020. http://dx.doi.org/10.1109/iccsse50399.2020.9171988.

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Nijim, Mais, Xiao Qin, and Tao Xie. "Adaptive Quality of Security Control in Networked Parallel Disk Systems." In 15th International Conference on Computer Communications and Networks. IEEE, 2006. http://dx.doi.org/10.1109/icccn.2006.286319.

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Xu, Cheng-Zhong. "Quality Control: A Key to Stress-Resilient Internet Services." In 2007 16th International Conference on Computer Communications and Networks. IEEE, 2007. http://dx.doi.org/10.1109/icccn.2007.4317782.

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Bellos, Christos V., Aleksandros Fyraridis, Georgios S. Stergios, Konstantinos A. Stefanou, and Sotirios Kontogiannis. "A Quality and disease control system for beekeeping." In 2021 6th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM). IEEE, 2021. http://dx.doi.org/10.1109/seeda-cecnsm53056.2021.9566210.

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Wang, Xiaoting, Xiangyang Liu, Bingpeng Zhang, Hao Wu, and Shuwen Chen. "Research on Evaluation Methods of Decentralized and Centralized Operation Quality of Computer Networks." In 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). IEEE, 2020. http://dx.doi.org/10.1109/itnec48623.2020.9084686.

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Kaczmarek, Sylwester, and Magdalena Mlynarczuk. "Quality of Service in ASON/GMPLS Network with Hierarchical Control Plane Structure." In 2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM). IEEE, 2020. http://dx.doi.org/10.23919/softcom50211.2020.9238242.

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Kaufmann, Manuel, Vivien Volland, Yifei Chen, Ira Effenberger, and Christoph Veyhl. "Scan quality estimation for industrial computed tomography using convolutional neural networks." In Fifteenth International Conference on Quality Control by Artificial Vision, edited by Takashi Komuro and Tsuyoshi Shimizu. SPIE, 2021. http://dx.doi.org/10.1117/12.2588990.

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Zinca, Gabriela, Stefan Mocanu, Ana-Maria Dragulinescu, and Radu Dobrescu. "Assessment of quality of health services in fractal-organized connectionist networks." In 2021 23rd International Conference on Control Systems and Computer Science (CSCS). IEEE, 2021. http://dx.doi.org/10.1109/cscs52396.2021.00044.

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Amer, Abdelsalam B., Fayez Gebali, and Y. Abdel-Hamid. "Quality of service support in wireless local area network with error control protocol." In 2008 33rd IEEE Conference on Local Computer Networks (LCN 2008). IEEE, 2008. http://dx.doi.org/10.1109/lcn.2008.4664244.

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Rapporti di organizzazioni sul tema "Computer networks – Quality control"

1

Rubin, Izhak, and Mario Gerla. Performance Evaluation and Control of Distributed Computer Communication Networks. Fort Belvoir, VA: Defense Technical Information Center, September 1985. http://dx.doi.org/10.21236/ada170810.

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Magana-Zook, S. A. Dynamic Networks Experiment FY18 - Quality Control Focus Area Efforts. Office of Scientific and Technical Information (OSTI), July 2018. http://dx.doi.org/10.2172/1465301.

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Galili, Naftali, Roger P. Rohrbach, Itzhak Shmulevich, Yoram Fuchs, and Giora Zauberman. Non-Destructive Quality Sensing of High-Value Agricultural Commodities Through Response Analysis. United States Department of Agriculture, October 1994. http://dx.doi.org/10.32747/1994.7570549.bard.

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The objectives of this project were to develop nondestructive methods for detection of internal properties and firmness of fruits and vegetables. One method was based on a soft piezoelectric film transducer developed in the Technion, for analysis of fruit response to low-energy excitation. The second method was a dot-matrix piezoelectric transducer of North Carolina State University, developed for contact-pressure analysis of fruit during impact. Two research teams, one in Israel and the other in North Carolina, coordinated their research effort according to the specific objectives of the proj

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4

Hansen, Jeffrey, Scott Hissam, B. C. Meyers, Ed Morris, Daniel Plakosh, Soumya Simanta, and Lutz Wrage. Adaptive Flow Control for Enabling Quality of Service in Tactical Ad Hoc Wireless Networks. Fort Belvoir, VA: Defense Technical Information Center, December 2010. http://dx.doi.org/10.21236/ada536719.

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Ye, Nong. A Process Control and Diagnosis Approach to Indications and Warning of Attacks on Computer Networks. Fort Belvoir, VA: Defense Technical Information Center, October 2001. http://dx.doi.org/10.21236/ada397978.

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Huang, Haohang, Erol Tutumluer, Jiayi Luo, Kelin Ding, Issam Qamhia, and John Hart. 3D Image Analysis Using Deep Learning for Size and Shape Characterization of Stockpile Riprap Aggregates—Phase 2. Illinois Center for Transportation, September 2022. http://dx.doi.org/10.36501/0197-9191/22-017.

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Riprap rock and aggregates are extensively used in structural, transportation, geotechnical, and hydraulic engineering applications. Field determination of morphological properties of aggregates such as size and shape can greatly facilitate the quality assurance/quality control (QA/QC) process for proper aggregate material selection and engineering use. Many aggregate imaging approaches have been developed to characterize the size and morphology of individual aggregates by computer vision. However, 3D field characterization of aggregate particle morphology is challenging both during the quarry

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Woodruff, J. Software quality assurance plan for the National Ignition Facility integrated computer control system. Office of Scientific and Technical Information (OSTI), November 1996. http://dx.doi.org/10.2172/461373.

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Rolston, Bri. Attack Methodology Analysis: Emerging Trends in Computer-Based Attack Methodologies and Their Applicability to Control System Networks. Office of Scientific and Technical Information (OSTI), June 2005. http://dx.doi.org/10.2172/911827.

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Seginer, Ido, James Jones, Per-Olof Gutman, and Eduardo Vallejos. Optimal Environmental Control for Indeterminate Greenhouse Crops. United States Department of Agriculture, August 1997. http://dx.doi.org/10.32747/1997.7613034.bard.

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Increased world competition, as well as increased concern for the environment, drive all manufacturing systems, including greenhouses, towards high-precision operation. Optimal control is an important tool to achieve this goal, since it finds the best compromise between conflicting demands, such as higher profits and environmental concerns. The report, which is a collection of papers, each with its own abstract, outlines an approach for optimal, model-based control of the greenhouse environment. A reliable crop model is essential for this approach and a significant portion of the effort went i

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Kyllönen, Katriina, Karri Saarnio, Ulla Makkonen, and Heidi Hellén. Verification of the validity of air quality measurements related to the Directive 2004/107/EC in 2019-2020 (DIRME2019). Finnish Meteorological Institute, 2020. http://dx.doi.org/10.35614/isbn.9789523361256.

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This project summarizes the results from 2000–2020and evaluates the trueness andthequality control (QC) procedures of the ongoing polycyclic aromatic hydrocarbon (PAH)and trace element measurements in Finlandrelating to Air Quality (AQ) Directive 2004/107/EC. The evaluation was focused on benzo(a)pyrene and other PAH compounds as well as arsenic, cadmium and nickel in PM10and deposition. Additionally, it included lead and other metals in PM10and deposition, gaseous mercury and mercury deposition, andbriefly other specificAQ measurements such as volatile organic compounds (VOC)and PM2.5chemical

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