Academic literature on the topic 'Network Operations Center'

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Journal articles on the topic "Network Operations Center"

1

Shih, Mao-Chang, Hani S. Mahmassani, and M. Hadi Baaj. "Planning and Design Model for Transit Route Networks with Coordinated Operations." Transportation Research Record: Journal of the Transportation Research Board 1623, no. 1 (1998): 16–23. http://dx.doi.org/10.3141/1623-03.

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A heuristic model is presented for the design of bus transit networks with coordinated operations. Different from past solution methodologies focusing on conventional uncoordinated transit systems, this model addresses the design of transit networks with coordinated operations, using a transit center concept and incorporating a trip assignment model explicitly developed for coordinated (timed-transfer) systems. In addition, this model determines the appropriate vehicle size for each bus route and incorporates demand-responsive capabilities to meet demand that cannot be served effectely by fixed-route, fixed-schedule services. This model is composed of four major procedures: ( a) a route generation procedure (RGP), which constructs the transit network around the transit center concept; ( b) a network analysis procedure, which incorporates a trip assignment model (for both coordinated and uncoordinated operations) and a frequency-setting and vehicle-sizing procedure; ( c) a transit center selection procedure, which identifies the suitable transit centers for route coordination; and ( d) a network improvement procedure, which improves on the set of routes generated by the RGP. The model is demonstrated via a case-study application to data generated from the existing transit system in Austin, Texas.
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OKITA, Hideki, Masahiro YOSHIZAWA, Keitaro UEHARA, Kazuhiko MIZUNO, Toshiaki TARUI, and Ken NAONO. "Virtual Network Configuration Management System for Data Center Operations and Management." IEICE Transactions on Communications E95.B, no. 6 (2012): 1924–33. http://dx.doi.org/10.1587/transcom.e95.b.1924.

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3

Valenzuela, Jesus Felix, Erika Fille Legara, Xiuju Fu, Rick Siow Mong Goh, Robert De Souza, and Christopher Monterola. "A network perspective on the calamity, induced inaccessibility of communities and the robustness of centralized, landbound relief efforts." International Journal of Modern Physics C 25, no. 06 (2014): 1450047. http://dx.doi.org/10.1142/s0129183114500478.

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We examine the robustness of centralized, landbound relief operations' capability to promptly reach areas affected by a disaster event from a network perspective. We initially look at two idealized road networks: a two-dimensional grid and a scale-free network, and compare them to an actual road network obtained from OpenStreetMap. We show that, from a node designated as the center for relief operations (a "relief center"), damage to a road network causes a substantial fraction of the other nodes (about 20% in the three networks we examined) to become initially inaccessible from any relief effort, although the remaining majority can still be reached readily. Furthermore, we show the presence of a threshold in the two idealized road networks but not in the real one. Below this threshold, all nodes can robustly be reached in a short span of time, and above it, not only the partitioning mentioned above sets in, but also the time needed to reach the nodes becomes susceptible to the amount of damage sustained by the road network. Under damage sustained by random segments of the network, this threshold is higher in the scale-free network compared to the grid, due to the robustness of the former against random attacks. Our results may be of importance in formulating contingency plans for the logistics of disaster relief operations.
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Chen, Dong, Fan Tang, Weiming Dong, Hanxing Yao, and Changsheng Xu. "SiamCPN: Visual tracking with the Siamese center-prediction network." Computational Visual Media 7, no. 2 (2021): 253–65. http://dx.doi.org/10.1007/s41095-021-0212-1.

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AbstractObject detection is widely used in object tracking; anchor-free object tracking provides an end-to-end single-object-tracking approach. In this study, we propose a new anchor-free network, the Siamese center-prediction network (SiamCPN). Given the presence of referenced object features in the initial frame, we directly predict the center point and size of the object in subsequent frames in a Siamese-structure network without the need for perframe post-processing operations. Unlike other anchor-free tracking approaches that are based on semantic segmentation and achieve anchor-free tracking by pixel-level prediction, SiamCPN directly obtains all information required for tracking, greatly simplifying the model. A center-prediction sub-network is applied to multiple stages of the backbone to adaptively learn from the experience of different branches of the Siamese net. The model can accurately predict object location, implement appropriate corrections, and regress the size of the target bounding box. Compared to other leading Siamese networks, SiamCPN is simpler, faster, and more efficient as it uses fewer hyperparameters. Experiments demonstrate that our method outperforms other leading Siamese networks on GOT-10K and UAV123 benchmarks, and is comparable to other excellent trackers on LaSOT, VOT2016, and OTB-100 while improving inference speed 1.5 to 2 times.
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Filali-Yachou, Said, Carina S. González-González, and Carlos Lecuona-Rebollo. "HMI/ SCADA standards in the design of data center interfaces: A network operations center case study." DYNA 82, no. 193 (2015): 180–86. http://dx.doi.org/10.15446/dyna.v82n193.53494.

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Sarrazin, François, Luc LeBel, and Nadia Lehoux. "Analyzing the impact of implementing a logistics center for a complex forest network." Canadian Journal of Forest Research 49, no. 2 (2019): 179–89. http://dx.doi.org/10.1139/cjfr-2018-0346.

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The challenges faced recently by the North American forest products industry have forced it to review many of its key operations. Implementing logistics centers for such a context may therefore help in allocating the wood fibre more efficiently and in reducing sorting and transportation costs. This paper aims to better understand the interaction between a forest logistics center and a complex forest network while exploring the business environment favoring the use of such a structure. A profit maximization model is proposed and applied to a real case in the Mauricie region in Quebec, Canada. A total of 18 groups of scenarios are tested, based on the use of a sort yard and of backhauling. Results show that a logistics center already in operation adds $0.52 in profits for each cubic metre of wood available for harvest (over 2 580 411 m3 per year) for the network under study ($1.4 million annually). A sensitivity analysis also highlights that higher prices and sorting error rates have the greatest impact on the logistics center’s profitability.
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7

Zou, Chi Jia. "Study of Access Algorithms in Wireless Network." Advanced Materials Research 129-131 (August 2010): 1286–90. http://dx.doi.org/10.4028/www.scientific.net/amr.129-131.1286.

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The measure to improve the performance of the wireless network channel is of great significance to the building in the wireless network. Due to IPv6 Agreement is the agreement for the next generation network and the core of it, IPHC header compression technology provides IPv6 basic headers and expanding headers with a good support, so we adopt IPHC header compression scheme which groups the data that need to transmitting, introduce retransmission mechanism and header request mechanism to make IPHC have much compression effect on headers. But IPHC header compression scheme is hard on signal channel, it required that loss rate of transportation link is a little lower. In order to let IPHC better adapt to wireless link, compression based on link state is offered: Using simple portioned Markov model to check channel error rate, adopting RTS/CTS access mechanism to search for link state. Apply OPNET simulation software to imitate and finally achieve the desired target. In past two decades, computer network got rapid development, with the application of computers wider and wider. But because of being limited by areas and time, users couldn’t surf on the Internet, communicate with each other, and transport messages at any time and at any place. In this case, the wireless network developed, wireless network technology also produced therewith. Computer wireless network technology included IEEE802.11 collection [1], bluetooth technology, infrared technology, and broadband wireless technology afterwards and so on. Wireless communication technology contained CDMA, GSM, etc [2-5]. According to access ways, wireless access technology was divided into fixed wireless access technology and mobile wireless access technology with many small parts. Wireless access system consisted of wireless base station, wireless base station controller, operation maintenance center and user units. User units which contained single units and multiunits were connected directly with user terminals. Base station, which provided signal-sending and signal-receiving services for users in one district, was controlled by the controller called center station facility to provide an interface with base station side and operation maintenance center, wireless signal channel control and base station monitor, complete the connection of exchanges and routers. Operation control centre is responsible for operating and maintaining wireless access system machines and managing daily network operations.
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Demertzis, Konstantinos, Panayiotis Kikiras, Nikos Tziritas, Salvador Sanchez, and Lazaros Iliadis. "The Next Generation Cognitive Security Operations Center: Network Flow Forensics Using Cybersecurity Intelligence." Big Data and Cognitive Computing 2, no. 4 (2018): 35. http://dx.doi.org/10.3390/bdcc2040035.

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A Security Operations Center (SOC) can be defined as an organized and highly skilled team that uses advanced computer forensics tools to prevent, detect and respond to cybersecurity incidents of an organization. The fundamental aspects of an effective SOC is related to the ability to examine and analyze the vast number of data flows and to correlate several other types of events from a cybersecurity perception. The supervision and categorization of network flow is an essential process not only for the scheduling, management, and regulation of the network’s services, but also for attacks identification and for the consequent forensics’ investigations. A serious potential disadvantage of the traditional software solutions used today for computer network monitoring, and specifically for the instances of effective categorization of the encrypted or obfuscated network flow, which enforces the rebuilding of messages packets in sophisticated underlying protocols, is the requirements of computational resources. In addition, an additional significant inability of these software packages is they create high false positive rates because they are deprived of accurate predicting mechanisms. For all the reasons above, in most cases, the traditional software fails completely to recognize unidentified vulnerabilities and zero-day exploitations. This paper proposes a novel intelligence driven Network Flow Forensics Framework (NF3) which uses low utilization of computing power and resources, for the Next Generation Cognitive Computing SOC (NGC2SOC) that rely solely on advanced fully automated intelligence methods. It is an effective and accurate Ensemble Machine Learning forensics tool to Network Traffic Analysis, Demystification of Malware Traffic and Encrypted Traffic Identification.
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Finkelstein, A. M., G. S. Golubchin, V. M. Gorodetsky, et al. "Dedicated Soviet VLBI-Network “Quasar”." Symposium - International Astronomical Union 141 (1990): 293–94. http://dx.doi.org/10.1017/s0074180900086952.

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The radiointerferometrical network “QUASAR”, composed of six dedicated VLBI stations linked via a geostationary satellite channel with the Center of Operations, is under construction in the Soviet Union. It is proposed to construct “QUASAR”-stations abroad, in China, Bulgaria and India. A short review of basic scientific and technical features of the project is given in this paper.
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10

Quinteros, Javier, Angelo Strollo, Peter L. Evans, et al. "The GEOFON Program in 2020." Seismological Research Letters 92, no. 3 (2021): 1610–22. http://dx.doi.org/10.1785/0220200415.

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Abstract The GEOFON program consists of a global seismic network, a seismological data center, and a global earthquake monitoring system. The seismic network has regional focus in Europe and North Africa as well as throughout the Indian Ocean, but it operates stations on all continents, including Greenland on the North American continental plate and Antarctica. The data center provides real-time seismic data through the SeedLink protocol and historical data from its large archive that currently comprises 120 TB of temporary and permanent seismic network data from GeoForschungsZentrums and third-party partners made available via standard services as part of the European Integrated Data Archive and within the International Federation of Digital Seismograph Networks. GEOFON also provides global and rapid earthquake information. The rapid earthquake information service prioritizes fast information dissemination globally after moderate and large earthquakes based on automatic processing. Most operations are carried out using the SeisComP system. GEOFON distributes findable, accessible, interoperable, reusable data, services, products, and software free of charge, and it is used worldwide by hundreds of users and other data centers.
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