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

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 31 gennaio 2023

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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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5

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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7

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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8

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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11

Wenjun Luo and M. El Zarki. "Quality control for VBR video over ATM networks." IEEE Journal on Selected Areas in Communications 15, no. 6 (1997): 1029–39. http://dx.doi.org/10.1109/49.611157.

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12

Bok, Kyoungsoo, Eunkyung Ryu, Junho Park, Jaijin Jung, and Jaesoo Yoo. "Multimedia congestion control in wireless sensor networks." Computer Science and Information Systems 12, no. 2 (2015): 801–21. http://dx.doi.org/10.2298/csis141009027b.

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In this paper, we propose a new congestion control scheme to minimize data loss and maintain data quality in wireless multimedia sensor networks. The proposed scheme extracts and transfers dynamic regions by considering monitoring characteristics over multimedia sensor network environments to reduce the transferred data. Furthermore, it can reduce the packet size by deleting and transferring low-priority bit data by considering multimedia data characteristics during congestion situations to minimize packet loss. To show the superiority of the proposed scheme, we compare it with the existing co

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13

Al-Maitah, Mohammed, Olena O. Semenova, Andriy O. Semenov, Pavel I. Kulakov, and Volodymyr Yu Kucheruk. "A Hybrid Approach to Call Admission Control in 5G Networks." Advances in Fuzzy Systems 2018 (October 8, 2018): 1–7. http://dx.doi.org/10.1155/2018/2535127.

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Artificial intelligence is employed for solving complex scientific, technical, and practical problems. Such artificial intelligence techniques as neural networks, fuzzy systems, and genetic and evolutionary algorithms are widely used for communication systems management, optimization, and prediction. Artificial intelligence approach provides optimized results in a challenging task of call admission control, handover, routing, and traffic prediction in cellular networks. 5G mobile communications are designed as heterogeneous networks, whose important requirement is accommodating great numbers o

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14

Zhabayev, Yermakhan, Esen Bidaibekov, Saltanat Sharmukhanbet, Arynova Gulnar, and Shirinkyz Shekerbekova. "Evaluation of the efficiency of teaching future informatics teachers in computer networks based on modeling of networks." Cypriot Journal of Educational Sciences 16, no. 5 (October 31, 2021): 2769–80. http://dx.doi.org/10.18844/cjes.v16i5.6362.

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When organizing training in computer networks on real equipment, educational institutions face organizational, technical and material difficulties. Using network modeling, the above difficulties can be avoided in teaching future informatics teachers about computer networks. The aim of the research was to prove the effectiveness of teaching future informatics teachers to computer networks based on network modeling. The method of theoretical analysis is carried out in order to comprehensively study the state of the problem under consideration. A pedagogical experiment has been conducted for eval

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15

Carnimeo, Leonarda, and Michele Dassisti. "Innovative quality process control via cellular neural networks." International Journal of Technology Management 37, no. 1/2 (2007): 86. http://dx.doi.org/10.1504/ijtm.2007.011805.

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16

Li, Hong Juan, Jin Cui Kang, Qian Dong, and Dong Bin He. "The Research of AD-HOC Network Bandwidth Control Distribution Mechanism." Advanced Materials Research 216 (March 2011): 65–69. http://dx.doi.org/10.4028/www.scientific.net/amr.216.65.

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Ad Hoc network is a novel type of mobile computer network, Its own distinctive quality entrusts with its huge prospects for development. This paper presents a TM program, and thus to determine the proportion of each data stream in multi-hop ad hoc wireless networks accounts for the channel time. At the same time, TM program based on a proposed multi-hop wireless data flow algorithm for fair bandwidth allocation.

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17

Manousos, M., S. Apostolacos, I. Grammatikakis, D. Mexis, D. Kagklis, and E. Sykas. "Voice-Quality Monitoring and Control for VoIP." IEEE Internet Computing 9, no. 4 (July 2005): 35–42. http://dx.doi.org/10.1109/mic.2005.92.

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18

Papir, Z. "Quality of service control in high-speed networks [Book Review]." IEEE Communications Magazine 40, no. 11 (November 2002): 18–19. http://dx.doi.org/10.1109/mcom.2002.1046988.

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19

Uskenbayeva, Raissa, Aigerim Altayeva, Faryda Gusmanova, Gluyssya Abdulkarimova, Saule Berkimbaeva, Kuralay Dalbekova, Azizah Suiman, Akzhunis Zhanseitova, and Aliya Amreyeva. "Indoor Air Quality Control Using Backpropagated Neural Networks." Computers, Materials & Continua 70, no. 2 (2022): 3837–53. http://dx.doi.org/10.32604/cmc.2022.020491.

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Taha, Abd-Elhamid M. "Quality of Experience in 6G Networks: Outlook and Challenges." Journal of Sensor and Actuator Networks 10, no. 1 (February 1, 2021): 11. http://dx.doi.org/10.3390/jsan10010011.

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In this paper, we discuss the critical characteristics of user experience in sixth generation (6G) cellular networks. We first describe cellular networks’ evolution through 5G and then discuss the enabling technologies and projected services in 6G networks. We note that these networks are markedly centered around expanded intelligence, end-to-end resource and topology synchronization, and the intrinsic support to low-latency, high-bandwidth communication. These capabilities make context-rich, cyberphysical user experiences viable. It thereby becomes necessary to define and identify the role of

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21

Klevtsov, O., A. Symonov, and S. Trubchaninov. "Computer Security of NPP Instrumentation and Control Systems: Computer Security Assessment." Nuclear and Radiation Safety, no. 4(88) (December 11, 2020): 69–76. http://dx.doi.org/10.32918/nrs.2020.4(88).09.

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The paper is devoted to the issues of computer security assessment of instrumentation and control systems (I&C systems) of nuclear power plants (NPPs). The authors specified the main areas of assessing the computer security of NPP I&C systems, especially the assessment of cyber threats, vulnerabilities of I&C computer security, sufficiency of applied measures for ensuring I&C systems computer security, risks of I&C system computer security as well as periodic reassessment of I&C computer security. The paper considers the assessment of I&C computer security vulnerabi

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22

Grzyb, Sławomir, and Przemysław Orłowski. "Multi-Objective Control Optimization for Congestion Avoidance in Computer Networks." Modelling, Measurement and Control A 93, no. 1-4 (December 31, 2020): 39–44. http://dx.doi.org/10.18280/mmc_a.931-406.

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Effective congestion control is an issue strongly impacting basic features demanded from modern network environment as reliability, high and stable throughput, and low delays. These characteristics define the quality of communication channels. Optimizing network nodes configuration for only one of mentioned features, can exacerbate other parameters. This paper focuses on avoiding and alleviating network congestions using multi-objective optimization for gain setting of used controllers. Unlike in other presented approaches, in this case the non-stationary, discrete, dynamical model is discusse

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23

Yende, Raphael Grevisse, Tshiela Marie Alice Nkuna, Kazadi Pamphile Mulumba, Ntumba Freddy Katayi, Kaseka Viviane Katadi, Musubao Patient Swambi, and Muamba Bernard Tshiasuma. "Signal performance optimization in the local area network trafic management in the DRC : Models for transmission networks." European Journal of Computer Science and Information Technology 10, no. 5 (May 15, 2022): 1–23. http://dx.doi.org/10.37745/ejcsit.2013/vol10n5123.

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The high availability of computer networks is a prerequisite in large companies and service providers. Thus, computer network administrators are called upon to face the various growing challenges related to unscheduled downtime of services; lack of expertise; lack of tools; the complexity of technologies; market consolidation and competition to provide better quality services. It should be remembered that the organization of the networks of telecommunication aims at giving control of the phenomena which occur there, during the treatment of the communications, and more generally of the services

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24

Allahbakhsh, M., B. Benatallah, A. Ignjatovic, H. R. Motahari-Nezhad, E. Bertino, and S. Dustdar. "Quality Control in Crowdsourcing Systems: Issues and Directions." IEEE Internet Computing 17, no. 2 (March 2013): 76–81. http://dx.doi.org/10.1109/mic.2013.20.

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Cheung, Michael C. "Total Quality Program Change Control." EDPACS 18, no. 1 (July 1990): 11–13. http://dx.doi.org/10.1080/07366989009450610.

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Lu, Zhaoming, Tao Lei, Xiangming Wen, Luhan Wang, and Xin Chen. "SDN Based User-Centric Framework for Heterogeneous Wireless Networks." Mobile Information Systems 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/9874969.

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Due to the rapid growth of mobile data traffic, more and more basestations and access points (APs) have been densely deployed to provide users with ubiquitous network access, which make current wireless network a complex heterogeneous network (HetNet). However, traditional wireless networks are designed with network-centric approaches where different networks have different quality of service (QoS) strategies and cannot easily cooperate with each other to serve network users. Massive network infrastructures could not assure users perceived network and service quality, which is an indisputable

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Koryachko, V. P., D. A. Perepelkin, and V. S. Byshov. "Enhanced Dynamic Load Balancing Algorithm in Computer Networks with Quality of Services." Automatic Control and Computer Sciences 52, no. 4 (July 2018): 268–82. http://dx.doi.org/10.3103/s0146411618040077.

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ŻOCHOWSKI, MICHAL, MACIEJ LEWENSTEIN, and ANDRZEJ NOWAK. "LOCAL NOISE IN NEURAL NETWORKS MODELS WITH SELF-CONTROL." International Journal of Neural Systems 05, no. 04 (December 1994): 287–98. http://dx.doi.org/10.1142/s0129065794000293.

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We modify neural networks models of the Hopfield type so that they can recognize the degree of novelty of the input stimuli on a local level. The networks control themselves the quality of recognition and can also recognize locally the bits of information in the input patterns which do not agree with known patterns, i.e. stored memories. This task is achieved by introducing local variations of the noise level β in the network. Noise level in a given location depends on the flip frequency of the neurons close to that location.

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Aweya, James, Michel Ouellette, Delfin Y. Montuno, and Zhonghui Yao. "Improving network service quality with explicit TCP window control." International Journal of Network Management 11, no. 3 (2001): 169–88. http://dx.doi.org/10.1002/nem.402.

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30

Dai, Penglin, Kai Liu, Qingfeng Zhuge, Edwin H. M. Sha, Victor Chung Sing Lee, and Sang Hyuk Son. "Quality-of-Experience-Oriented Autonomous Intersection Control in Vehicular Networks." IEEE Transactions on Intelligent Transportation Systems 17, no. 7 (July 2016): 1956–67. http://dx.doi.org/10.1109/tits.2016.2514271.

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Liu, Heyu, and Fuchun Sun. "A QoS-Oriented Congestion Control Mechanism for Satellite Networks." Mathematical Problems in Engineering 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/487483.

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The sharply increasing amount of data, which are transferred by the satellite network, requires the satellite network to provide quality-of-service (QoS). However, the upsurge in the data flow leads to the network congestion, impeding its ability to offer QoS. Congestion control mechanisms, deployed in the ground networks, have been thoroughly studied. But those deployed in the satellite networks have not been studied yet. As satellite networks are now important supplements to the ground backbone networks, this paper carefully analyzes the current challenges of developing the QoS-oriented cong

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Ahmed, N. U., Qun Wang, and L. Orozco Barbosa. "Systems approach to modeling the Token Bucket algorithm in computer networks." Mathematical Problems in Engineering 8, no. 3 (2002): 265–79. http://dx.doi.org/10.1080/10241230215282.

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In this paper, we construct a new dynamic model for the Token Bucket (TB) algorithm used in computer networks and use systems approach for its analysis. This model is then augmented by adding a dynamic model for a multiplexor at an access node where the TB exercises a policing function. In the model, traffic policing, multiplexing and network utilization are formally defined. Based on the model, we study such issues as (quality of service) QoS, traffic sizing and network dimensioning. Also we propose an algorithm using feedback control to improve QoS and network utilization. Applying MPEG vide

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Liu, Xiaojuan, Shangbo Zhou, Sheng Wu, Duo Tan, and Rui Yao. "3D visualization model construction based on generative adversarial networks." PeerJ Computer Science 8 (March 29, 2022): e768. http://dx.doi.org/10.7717/peerj-cs.768.

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The development of computer vision technology is rapid, which supports the automatic quality control of precision components efficiently and reliably. This paper focuses on the application of computer vision technology in manufacturing quality control. A new deep learning algorithm is presented, Multi-angle projective Generative Adversarial Networks (MapGANs), to automatically generate 3D visualization models of products and components. The generated 3D visualization models can intuitively and accurately display the product parameters and indicators. Based on these indicators, our model can ac

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Pencheva, Evelina, and Ivaylo Atanasov. "Mobile Edge Services for Quality of Service Control and Access to Terminal Status." Cybernetics and Information Technologies 18, no. 2 (June 1, 2018): 133–50. http://dx.doi.org/10.2478/cait-2018-0034.

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Abstract An important ingredient of fifth generation (5G) networks will be Multi-access Edge Computing (MEC). MEC brings the computational intelligence of the cloud within the Radio Access Network (RAN). The virtualized functionality is accessible through Application Programming Interfaces (APIs). In this paper, we study capabilities of reuse existing time-tested Web Services to provide mobile edge middleware services. The focus is on mobile edge services that can be used by applications for bandwidth management and access to user contextual information. An extension of Web Service functionali

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Storey, Dominic. "Securing process control networks." Network Security 2009, no. 10 (October 2009): 10–13. http://dx.doi.org/10.1016/s1353-4858(09)70110-2.

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Zhou, Yang. "Research on Network Control Based on QoS of the Network." Advanced Materials Research 989-994 (July 2014): 4265–68. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.4265.

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With the technology improvement of computer communication and multimedia coding, real time communication such as audio and video is introduced to networks and become a dominant way of communication.In the control of network, the optimization problem of the network controller based on network Quality of service (QoS) is a very important problem in the research of network control. Considering the influence of network quality—of service (QoS) on the control performance,a system model combining the network parameters and the control parameters is established for networked control systems (NCSs). B

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Alnawayseh, Saif E. A., Waleed T. Al-Sit, and Taher M. Ghazal. "Smart Congestion Control in 5G/6G Networks Using Hybrid Deep Learning Techniques." Complexity 2022 (October 25, 2022): 1–10. http://dx.doi.org/10.1155/2022/1781952.

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With the mobility and ease of connection, wireless sensor networks have played a significant role in communication over the last few years, making them a significant data carrier across networks. Additional security, lower latency, and dependable standards and communication capability are required for future-generation systems such as millimeter-wave LANs, broadband wireless access schemes, and 5G/6G networks, among other things. Effectual congestion control is regarded as of the essential aspects of 5G/6G technology. It permits operators to run many network illustrations on a single organizat

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Antonopoulos, Angelos, and Christos Verikoukis. "Network-Coding-Based Cooperative ARQ Medium Access Control Protocol for Wireless Sensor Networks." International Journal of Distributed Sensor Networks 8, no. 1 (September 12, 2011): 601321. http://dx.doi.org/10.1155/2012/601321.

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We introduce a novel Medium Access Control (MAC) protocol for Automatic Repeat reQuest-based (ARQ-based) cooperative wireless sensor networks. Using network coding techniques, we achieve a better network performance in terms of energy efficiency without compromising the offered Quality of Service (QoS). The proposed solution is compared to other cooperative schemes, while analytical and simulation results are provided to evaluate our protocol.

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Ehrlich, Marco, Arne Neumann, Alexander Biendarra, and Jürgen Jasperneite. "Quality-of-Service monitoring of hybrid industrial communication networks." at - Automatisierungstechnik 67, no. 1 (January 28, 2019): 69–78. http://dx.doi.org/10.1515/auto-2018-0057.

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Abstract Today many hybrid (wired & wireless) industrial communication networks with a huge variety of heterogeneous technologies and protocols are present in the manufacturing and automation domain. The increasing requirements regarding e. g., latency, reliability, or determinism create the need for a holistic network management concept in order to assure a network-wide Quality-of-Service (QoS) resource provisioning and the assurance of the admissioned resources. Consequently, a monitoring of the whole network is required to feed the network management system with the needed information a

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Hatva, Erika. "Improving Quality Control In Medical Equipment Inventory." Biomedical Instrumentation & Technology 46, no. 3 (May 1, 2012): 211–15. http://dx.doi.org/10.2345/0899-8205-46.3.211.

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Chen, Yuan, Lan Fen Niu, and Guo Biao Ren. "Application of Computer Network Technology to Control the Coal Quality." Applied Mechanics and Materials 536-537 (April 2014): 1215–18. http://dx.doi.org/10.4028/www.scientific.net/amm.536-537.1215.

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In recent years, the government has stepped up efforts to control coal mine. A large number of small coal mines were shut down for the simple reason that they are not up to the standards. More and more coal enterprises now put the informatization at the top of the long-term development list. In the management information system, the coal quality control is regarded as a main functional module. The traditional process of coal quality testing can’t meet the regulatory requirements. With information technology, to get faster and more accurate monitoring of coal quality and give management advice

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Kirichek, Ruslan, Alexander Paramonov, Andrei Vladyko, and Evgeny Borisov. "Implementation of the Communication Network for the Multi-Agent Robotic Systems." International Journal of Embedded and Real-Time Communication Systems 7, no. 1 (January 2016): 48–63. http://dx.doi.org/10.4018/ijertcs.2016010103.

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The paper proposes a structure of self-organizing communication networks of the multi-robot system. The considered networks are organized on the basis of two radio channels: to transmit control (telemetry data) and to transmit data (video flow), which have the higher bandwidth requirements. The algorithm of self-organizing network is designed and presented based on the wideband channel quality control: data of the received signal strength indicator (RSSI), the capacity and the packet error ratio (PER).

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Seron, F. J., J. J. Torrens, and J. A. Magallon. "Quality Control of an Interpolation Method for Discontinuous Parametric Surfaces." Computer Graphics Forum 12, no. 3 (August 1993): 461–71. http://dx.doi.org/10.1111/1467-8659.1230461.

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Dovgun, Valery, Sergei Temerbaev, Maxim Chernyshov, Viktor Novikov, Natalia Boyarskaya, and Elena Gracheva. "Distributed Power Quality Conditioning System for Three-Phase Four-Wire Low Voltage Networks." Energies 13, no. 18 (September 19, 2020): 4915. http://dx.doi.org/10.3390/en13184915.

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This paper presents distributed power quality conditioning system to compensate current and voltage distortions in three-phase four-wire networks caused by unbalanced non-linear single-phase loads. The proposed conditioning system consists of several hybrid filter units installed in various nodes for compensation of excessive neutral currents and voltage distortions in a selected area of the distribution network. The system is open and it can be easily modified by installation of new filter units. A novel hybrid filter design procedure based on filter frequency characteristics optimization in

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45

Qian, Fengchen, Yalin Ye, Ning Shan, and Bing Su. "A Novel Architecture of Telecommunication Networks for Next Generation Internet." MATEC Web of Conferences 173 (2018): 03036. http://dx.doi.org/10.1051/matecconf/201817303036.

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In this paper, we present a novel DC-centric architecture of telecommunication networks for next generation Internet. Data flow become the major traffic in existing telecommunication networks. Traditional computer networks and telecom networks meet many challenges in high-quality service, innovation, evolution, and management. Based on analysis existing telecom networks’ challenges, a DC-centric telecom network architecture with splitting the data plane from the control plane is proposed. The DC-centric telecom network is a widely-distributed data center network (DCN), which is composed of tho

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46

Divitskyi, Andriy, Serhii Salnyk, Vladyslav Hol, Pavlo Sydorkin, and Anton Storchak. "Development of a model of a subsystem for forecasting changes in data transmission routes in special purpose mobile radio networks." Eastern-European Journal of Enterprise Technologies 3, no. 9(111) (July 1, 2021): 116–25. http://dx.doi.org/10.15587/1729-4061.2021.235609.

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This research addressed the issue of improving the quality of service for the control system of mobile radio networks. The analysis of the forecasting sphere concerning the methods of service quality of mobile radio networks for special purposes, in particular, forecasting the time of congestion of data transmission routes is carried out. It is found that these methods are used in wired and computer networks operating at the network and data link levels. The basic parameters of the protocols of the channel and network layers of mobile radio networks are highlighted. Forecasting methods are ana

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47

Okhravi, Hamed, and David M. Nicol. "Application of trusted network technology to industrial control networks." International Journal of Critical Infrastructure Protection 2, no. 3 (October 2009): 84–94. http://dx.doi.org/10.1016/j.ijcip.2009.07.001.

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Bao, Feng, Haoyang Yu, and Hao Wang. "TSN-Based Backbone Network of Train Control Management System." Wireless Communications and Mobile Computing 2022 (March 27, 2022): 1–12. http://dx.doi.org/10.1155/2022/5789444.

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Time-sensitive network (TSN), as one of the latest real-time Ethernet techniques, has achieved great success in several scenarios that require strict communication latency and packet loss. This paper reviews the state-of-the-art in time-sensitive networks and investigates the drawbacks of current vehicle networks. By introducing TSN into the TCMS backbone network, next-generation smart vehicles can achieve high-quality data transmissions. This paper also analyzes the priority of the vehicle data and calculates the time-aware shaper slot to ensure that the control data is not affected by the mu

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Velasco, Tomas, and Mark R. Rowe. "Back propagation artificial neural networks for the analysis of quality control charts." Computers & Industrial Engineering 25, no. 1-4 (September 1993): 397–400. http://dx.doi.org/10.1016/0360-8352(93)90305-h.

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50

Yakymchuk, N. M., and A. I. Toroshanko. "METHODS OF IDENTIFICATION AND COMPREHENSIVE DIAGNOSIS OF TELECOMMUNICATION SYSTEMS." Collection of scientific works of the Military Institute of Kyiv National Taras Shevchenko University, no. 69 (2020): 58–65. http://dx.doi.org/10.17721/2519-481x/2020/69-06.

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The article formulates the main tasks of management of information networks and telecommunications services in terms of ensuring their reliable operation. The telecommunication network is considered as a complex system consisting of many components, each of which has its own characteristics of operation during operation. The main functions of the telecommunication network control system are determined: fault detection and network status diagnostics, network device administration, forecasting and elimination of congestion and other possible deviations in network functioning, ensuring coordinate

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