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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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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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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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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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Crooks, David, Liviu Vâlsan, Kashif Mohammad, et al. "Operational security, threat intelligence & distributed computing: the WLCG Security Operations Center Working Group." EPJ Web of Conferences 214 (2019): 03029. http://dx.doi.org/10.1051/epjconf/201921403029.
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The modern security landscape for distributed computing in High Energy Physics (HEP) includes a wide range of threats employing different attack vectors. The nature of these threats is such that the most effective method for dealing with them is to work collaboratively, both within the HEP community and with partners further afield - these can, and should, include institutional and campus security teams. In parallel with this work, an appropriate technology stack is essential, incorporating current work on Big Data analytics. The work of the Worldwide LHC Computing Grid (WLCG) Security Operations Center (SOC) Working Group (WG) [1] is to pursue these goals to form a reference design (or guidelines) for WLCG sites of different types. The strategy of the group is to identify necessary components - starting with threat intelligence (MISP [2]) and network intrusion detection (Bro [3]), building a working model over time. We present on the progress of the working group thus far, in particular on the programme of workshops now underway. These workshops give an opportunity to engage with sites to allow the development of advice and procedures for deployment, as well as facilitating wider discussions on how to best work with trust groups at different levels. These trust groups vary in scope but can include institutes, National Grid Infrastructures and the WLCG as a whole.
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Evans, Mike, Mike Lami, Brendan Madarasz, Benjamin Smith, and Chris Green. "Site Selection for Joint Logistics over the Shore (JLOTS) Operations Using Multi- Objective Decision Analysis." Industrial and Systems Engineering Review 4, no. 2 (2016): 88–95. http://dx.doi.org/10.37266/iser.2016v4i2.pp88-95.
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As the U.S. military faces an increasing need to deploy across a range of military operations and environments, the ability to establish and sustain logistics support remains a major challenge. The Engineer Research and Development Center is currently developing the Planning Logistics Analysis Network System (PLANS), a decision support tool, to facilitate strategic and operational logistics planning. This paper describes a site selection protocol for logistics operations occurring without a suitable port, commonly referred to as Logistics over-the Shore (LOTS) operations. The model uses multi- objective decision analysis techniques to weight different operational criteria to determine the best overall site for logistics over the shore operations. This tool will enhance the time and accuracy in determining an optimal site that meets the decision maker’s specific operational needs.
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Et.al, Jin Kim. "Consideration of Docker based network deployment for a data center: GSDC in Korea." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (2021): 464–69. http://dx.doi.org/10.17762/turcomat.v12i6.1873.
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For various operational reasons, this study presents a design and testbed environment for applying Docker-based system to a data center in Korea. We describe the design process of Docker based network. First, abstract structure is presented. Second, two conceptual routing models are provided. Third, the network plugin selection is stated. Then, we build Docker based system on a testbed environment as a pre-study for deployment to the entire system. There are plenty of factors to consider for the overall deployment. Representative factors include the routing method inside the server, the number of containers in a server, service arrangement by container, and response to equipment replacement. To evaluate those factors, various study should be performed with key system parameters. The proposed testbed environment can be utilized to obtain key system parameters. Applying Docker system to a data center can be remarkably efficient in terms of operations. The workload of operator will decrease, and scalability and flexibility will increase.
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Barrientos, Sergio Eduardo, and Sebastian Riquelme. "Operational Capabilities during Crisis: The Chilean Seismographic Network." Seismological Research Letters 92, no. 1 (2020): 119–26. http://dx.doi.org/10.1785/0220200294.
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Abstract The severe mobility restrictions imposed countrywide by authorities of Chile in response to the pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have impacted all areas of activities. Major difficulties began in March 2020, with partial quarantines in the capital city, which later extended to other cities in the country, and it soon transformed in total confinement. We examine the evolution of the pandemic and its consequences on the field and headquarters operations of the National Seismological Centre (CSN), as remote stations could not be visited to carry out maintenance work. Several indicators, as a function of time, such as station operability percentage, timely reports, and ability to deliver requested information, reveal some negative impact on the uptime of stations but not in the capability of the CSN to fulfill its mission, which is to deliver timely seismic information to emergency services. The largest event in the country within this period took place on 3 June 2020, activating in a timely manner, the new tools on finite-fault modeling being developed within the center.
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Albin, Susan L., Jeffrey Barrett, David Ito, and John E. Mueller. "A queueing network analysis of a health center." Queueing Systems 7, no. 1 (1990): 51–61. http://dx.doi.org/10.1007/bf01158785.
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Brown, Alan S. "Heat Sink Sunk." Mechanical Engineering 139, no. 01 (2017): 40–45. http://dx.doi.org/10.1115/1.2017-jan-3.
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This article explores various innovative ways that technology companies are working upon to deal with the large amount of heat of their big data centers. Microsoft’s research and development team is working on designing and building of an underwater data center. Researchers believe that underwater data centers might have power, construction, and performance advantages as well. Berkeley’s National Energy Research Scientific Computing Center (NERSC) recycles its chilled water. NERSC uses air to chill the data center and cooler-running components, such as disk drives, routers, and network servers. With the growing efficiency of data centers, better cooling might not be enough to make underwater operations worthwhile. But cooling is only one of the advantages that Microsoft sees in submerging its data centers. Submersibles also simplify deployment. Microsoft used an underwater cable connected to the electrical grid to power Leona Philpot, a submersible data center. In the future, it may reduce costs through renewable energy, combined with on-site energy storage and backup power from the grid.
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Diamond, Howard J., Thomas R. Karl, Michael A. Palecki, et al. "U.S. Climate Reference Network after One Decade of Operations: Status and Assessment." Bulletin of the American Meteorological Society 94, no. 4 (2013): 485–98. http://dx.doi.org/10.1175/bams-d-12-00170.1.
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The year 2012 marks a decade of observations undertaken by the U.S. Climate Reference Network (USCRN) under the auspices of NOAA's National Climatic Data Center and Atmospheric Turbulence and Diffusion Division. The network consists of 114 sites across the conterminous 48 states, with additional sites in Alaska and Hawaii. Stations are installed in open (where possible), rural sites very likely to have stable land-cover/use conditions for several decades to come. At each site a suite of meteorological parameters are monitored, including triple redundancy for the primary air temperature and precipitation variables and for soil moisture/temperature. Instrumentation is regularly calibrated to National Institute for Standards and Technology (NIST) standards and maintained by a staff of expert engineers. This attention to detail in USCRN is intended to ensure the creation of an unimpeachable record of changes in surface climate over the United States for decades to come. Data are made available without restriction for all public, private, and government use. This article describes the rationale for the USCRN, its implementation, and some of the highlights of the first decade of operations. One critical use of these observations is as an independent data source to verify the existing U.S. temperature record derived from networks corrected for nonhomogenous histories. Future directions for the network are also discussed, including the applicability of USCRN approaches for networks monitoring climate at scales from regional to global. Constructive feedback from end users will allow for continued improvement of USCRN in the future and ensure that it continues to meet stakeholder requirements for precise climate measurements.
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Earle, Paul S., Harley M. Benz, William L. Yeck, et al. "Seismic Monitoring during Crises at the NEIC in Support of the ANSS." Seismological Research Letters 92, no. 5 (2021): 2905–14. http://dx.doi.org/10.1785/0220200289.
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Abstract Over the past two decades, the U.S. Geological Survey (USGS) National Earthquake Information Center (NEIC) has overcome many operational challenges. These range from minor disruptions, such as power outages, to significant operational changes, including system reconfiguration to handle unique earthquake sequences and the need to handle distributed work during a pandemic. Our ability to overcome crises is built on the development and implementation of a continuity of operations plan, well-designed infrastructure, adaptive software systems, experienced staff, and extensive collaboration. The NEIC does not operate in a vacuum but benefits from contributions of United States and international seismic networks. Similarly, the overall resilience of earthquake monitoring in the United States and around the globe benefits from the NEIC’s role as the national center for the Advanced National Seismic System (ANSS). Here, we highlight significant adaptations the NEIC has made in the face of crises. We discuss the COVID-19 pandemic, which represents the most significant operational crisis to impact the NEIC. The NEIC has maintained continuous operations during the ongoing COVID-19 pandemic by shifting from a fully onsite operations center to a distributed hybrid of onsite and telework staffing. We then discuss cases in which the NEIC has supported regional monitoring in the face of significant crises. In 2018, the NEIC assisted the Hawaiian Volcano Observatory with the Kīlauea volcano eruption by responding to large events, implementing contingency monitoring procedures, and calculating moment magnitudes for the low-frequency caldera collapses. Impacts of a crisis extend beyond the immediate response and often require a significant postevent assessment and a rebuilding phase. After the 2017 Hurricane Maria, the NEIC, the USGS National Strong-Motion Program, and the USGS Albuquerque Seismological Laboratory worked with the Puerto Rico Seismic Network and the Puerto Rico Strong-Motion program to assess, plan, and implement upgrades at sites that experienced storm damage.
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Jafari, Rad. "A note on the p - center problem." Yugoslav Journal of Operations Research 21, no. 2 (2011): 199–204. http://dx.doi.org/10.2298/yjor1102199j.
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The p - center problem is to locate p facilities in a network so as to minimize the longest distance between a demand point and its nearest facility. In this paper, we give a construction on a graph G which produces an infinite ascending chain G=G0?G1?G2?... of graphs containing G such that given any optimal solution X for the p - center problem on G, X is an optimal solution for the p - center problem on i G for any i ? 1.
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Huang, Lixiao, Victoria Chibuogu Nneji, and Mary Cummings. "How Airline Dispatchers Manage Flights: A Task Analysis in Distributed and Heterogeneous Network Operations." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (2019): 1389–93. http://dx.doi.org/10.1177/1071181319631182.
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Equipped with technology, airline dispatchers interact with multiple entities to maximize the safety and efficiency of flights. How well the overall airline system performs is influenced by dispatchers’ workload. In order to assist future work in developing advanced automated technologies to assist dispatchers, particularly under high-workload periods, this paper presents an analysis of airline dispatchers’ tasks in a large operations control center. This is an important step in developing airline dispatcher workload simulations and other analytical approaches that assist in staffing of operations for dynamic operations, as well as estimating the impact of new technology on dispatchers’ workload.
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Burrell, Marqus, Jeffrey Demarest, Sarah LaRue, Angelo Martinez, and Wilson Meyer. "Discrete-Event Simulation of the Establishment of a Bare Beachhead for Long-Term Joint Logistics over the Shore (JLOTS) Operations." Industrial and Systems Engineering Review 5, no. 2 (2017): 123–28. http://dx.doi.org/10.37266/iser.2017v5i2.pp123-128.
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The United States military uses Joint Logistics Over-the-Shore (JLOTS) operations to move soldiers, vehicles, and equipment across the globe for military and humanitarian missions. These logistics operations can only be accomplished through cooperation between commanders in all services. The U.S. Army Engineer Research and Development Center is developing a tool to analyze a set of early entry alternatives to optimize mission effectives and efficiencies in order to facilitate assured mobility and freedom of movement. This program is currently being developed under the name Planning Logistics Analysis Network System (PLANS). PLANS comprehensively covers air, land, and sea transportation infrastructure, regions of avoidance, and more. This research addresses a gap in strategic and operational planning by modeling the establishment of JLOTS operations on bare beach environments. The West Point developed discrete event simulation will determine the amount of time it takes to prepare a beach to sustain JLOTS operations under varying environmental and operational conditions.
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Gassner, Elisabeth. "Up- and downgrading the 1-center in a network." European Journal of Operational Research 198, no. 2 (2009): 370–77. http://dx.doi.org/10.1016/j.ejor.2008.09.013.
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Felemban, Emad, Adil A. Sheikh, and Atif Naseer. "Improving Response Time for Crowd Management in Hajj." Computers 10, no. 4 (2021): 46. http://dx.doi.org/10.3390/computers10040046.
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Flying Adhoc Network (FANET) is a particular type of Mobile Adhoc Network (MANET) that consists of flying drones or unmanned aerial vehicles (UAVs). MANETs are especially useful in rural and remote areas, where the lack of public networks necessitates data delivery through mobile nodes. Additionally, FANETs provide better coverage where there is a lack of roads. Generally, the goal of FANETs is to provide multimedia data to applications such as search and rescue operations, forest fire detection, surveillance and patrol, environmental monitoring, and traffic and urban monitoring. The above applications’ performance and efficiency depend on the quality and timely delivery of these essential data from an area of interest to control centers. This paper presents a Priority-based Routing Framework for Flying Adhoc Networks (PRoFFAN) for the expedited delivery of essential multimedia data to control centers. PRoFFAN reduces the FANET application’s response time by prioritizing the sending and forwarding of critical image data from the UAV to the control center. Our motivation application is crowd management; we believe that having important image features as early as possible will save lives and enhance the crowd’s safety and flow. We integrated PRoFFAN over the RPL routing layer of Contiki-NG’s IPv6 network stack. We used simulations in Cooja to demonstrate the benefit of PRoFFAN over conventional ZigBee.
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Bakhshandeh Amnieh, Hassan, and Moein Bahadori. "Safe Vibrations of Spilling Basin Explosions at “Gotvand Olya Dam” Using Artificial Neural Network." Archives of Mining Sciences 59, no. 4 (2014): 1087–96. http://dx.doi.org/10.2478/amsc-2014-0075.
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Abstract Ground vibration is an undesirable outcome of an explosion which can have destructive effects on the surrounding environment and structures. Peak Particle Velocity (PPV) is a determining factor in evaluation of the damage caused by an explosion. To predict the ground vibration caused by blasting at the Gotvand Olya Dam (GOD) spilling basin, thirty 3-component records (totally 90) from 19 blasts were obtained using 3 VIBROLOC seismographs. Minimum and the maximum distance from the center of the exploding block to the recording station were set to be 11 and 244 meters, respectively. To evaluate allowable safe vibration and determining the permissible explosive charge weight, Artificial Neural Networks (ANN) was employed with Back Propagation (BP) and 3 hidden layers. The mean square error and the correlation coefficient of the network in this study were found to be 1.95 and 0.995, respectively, which compared to those obtained from the known empirical correlations, indicating substantially more accurate prediction. Considering the network high accuracy and precision in predicting vibrations caused by such blasting operations, the nearest distance from the center of the exploding block at this study was 11 m, and considering the standard allowable vibration of 120 mm/sec for heavy concrete structures, the maximum permissible explosive weight per delay was estimated to be 47.00 Kg. These results could be employed in subsequent safer blasting operation designs.
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Xiao-wei, Xiong. "Study on the intelligent system of sports culture centers by combining machine learning with big data." Personal and Ubiquitous Computing 24, no. 1 (2019): 151–63. http://dx.doi.org/10.1007/s00779-019-01307-z.
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AbstractWith the vigorous development of sports, people’s awareness of engaging in sports has gradually increased, and the requirements for a sports culture center have been higher. However, the service system of traditional sports cultures center is single, which cannot meet people’s growing experience needs. Therefore, it is urgent for the service system of sports culture centers to move towards intellectualization. Firstly, this paper discusses the service system of traditional sports culture centers and finds that there are some problems, such as slow transmission of information, poor sharing of resources, and weak flexibility of response, which seriously affect the consumer experience of users and restrict the development of sports culture centers. Then, with the help of computer network technology, the design of intelligent system architecture of sports culture centers is completed, which makes many intelligent subsystems interconnected and interoperable, integrates information, realizes the integration of data application network, and achieves the goal of resource sharing and function upgrading. Then, based on the intelligent system, the big data platform is built with the help of big data technology, and the support vector machine-back propagation (SVM-BP) neural network composite model is used to realize the prediction of the passenger flow in the cultural center, which provides guidance for adjusting the service plan in advance, effectively coping with the peak passenger flow and improving the user experience. Finally, through empirical analysis, we know that the design of an intelligent system greatly improves the service quality of cultural centers. The research results not only achieve a significant increase in passenger flow but also provide an effective way for the service of sports culture centers to move towards intellectualization.
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Sforza, Antonio. "An algorithm for finding the absolute center of a network." European Journal of Operational Research 48, no. 3 (1990): 376–90. http://dx.doi.org/10.1016/0377-2217(90)90421-7.
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Landry, Steven J., Kerry Levin, Dennis Rowe, and Monicarol Nickelson. "Creating effective collaboration tools: Lessons from the Multi-center Traffic Management Advisor." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 51, no. 2 (2007): 107–11. http://dx.doi.org/10.1177/154193120705100212.
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The emphasis on network-centric operations for the next generation air traffic system presages an important opportunity for collaborative work. However, there is no clear design guidance for collaborative work across such a large and complex network of users and operators. In this paper we will describe the Multicenter Traffic Management Advisor, a system which can enable collaboration on regional air traffic problems. We will describe specific findings regarding collaborative work from a four-year testing period with six separate air traffic facilities, including a design feature we believe was crucial for improving collaborative work. This work has important implications regarding the future collaborative environment of the U.S. air traffic system as well as for collaborative work across large, complex organizations.
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Demertzis, Konstantinos, Nikos Tziritas, Panayiotis Kikiras, Salvador Llopis Sanchez, and Lazaros Iliadis. "The Next Generation Cognitive Security Operations Center: Adaptive Analytic Lambda Architecture for Efficient Defense against Adversarial Attacks." Big Data and Cognitive Computing 3, no. 1 (2019): 6. http://dx.doi.org/10.3390/bdcc3010006.
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A Security Operations Center (SOC) is a central technical level unit responsible for monitoring, analyzing, assessing, and defending an organization’s security posture on an ongoing basis. The SOC staff works closely with incident response teams, security analysts, network engineers and organization managers using sophisticated data processing technologies such as security analytics, threat intelligence, and asset criticality to ensure security issues are detected, analyzed and finally addressed quickly. Those techniques are part of a reactive security strategy because they rely on the human factor, experience and the judgment of security experts, using supplementary technology to evaluate the risk impact and minimize the attack surface. This study suggests an active security strategy that adopts a vigorous method including ingenuity, data analysis, processing and decision-making support to face various cyber hazards. Specifically, the paper introduces a novel intelligence driven cognitive computing SOC that is based exclusively on progressive fully automatic procedures. The proposed λ-Architecture Network Flow Forensics Framework (λ-ΝF3) is an efficient cybersecurity defense framework against adversarial attacks. It implements the Lambda machine learning architecture that can analyze a mixture of batch and streaming data, using two accurate novel computational intelligence algorithms. Specifically, it uses an Extreme Learning Machine neural network with Gaussian Radial Basis Function kernel (ELM/GRBFk) for the batch data analysis and a Self-Adjusting Memory k-Nearest Neighbors classifier (SAM/k-NN) to examine patterns from real-time streams. It is a forensics tool for big data that can enhance the automate defense strategies of SOCs to effectively respond to the threats their environments face.
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Bernard, Gordon R., Paul A. Harris, Jill M. Pulley, et al. "A collaborative, academic approach to optimizing the national clinical research infrastructure: The first year of the Trial Innovation Network." Journal of Clinical and Translational Science 2, no. 4 (2018): 187–92. http://dx.doi.org/10.1017/cts.2018.319.
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Inefficiencies in the national clinical research infrastructure have been apparent for decades. The National Center for Advancing Translational Science—sponsored Clinical and Translational Science Award (CTSA) program is able to address such inefficiencies. The Trial Innovation Network (TIN) is a collaborative initiative with the CTSA program and other National Institutes of Health (NIH) Institutes and Centers that addresses critical roadblocks to accelerate the translation of novel interventions to clinical practice. The TIN’s mission is to execute high-quality trials in a quick, cost-efficient manner. The TIN awardees are composed of 3 Trial Innovation Centers, the Recruitment Innovation Center, and the individual CTSA institutions that have identified TIN Liaison units. The TIN has launched a national scale single (central) Institutional Review Board system, master contracting agreements, quality-by-design approaches, novel recruitment support methods, and applies evidence-based strategies to recruitment and patient engagement. The TIN has received 113 submissions from 39 different CTSA institutions and 8 non-CTSA Institutions, with projects associated with 12 different NIH Institutes and Centers across a wide range of clinical/disease areas. Already more than 150 unique health systems/organizations are involved as sites in TIN-related multisite studies. The TIN will begin to capture data and metrics that quantify increased efficiency and quality improvement during operations.
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Gil-Garcia, J. Ramon, Theresa A. Pardo, and Djoko Sigit Sayogo. "From bureaucratic machines to inter-organizational networks." Transforming Government: People, Process and Policy 10, no. 4 (2016): 568–90. http://dx.doi.org/10.1108/tg-02-2016-0011.
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Purpose This paper aims to argue that the structure of the response to the World Trade Center (WTC) crisis can be characterized as an inter-organizational network and the majority of the activities can be identified as network management. Design/methodology/approach Using a mixed-method research strategy encompassing in-depth interviews and a sociometric survey, the authors characterize the response as an inter-organizational network and describe significant factors that facilitate the effective functioning and management of an emergency response. Findings The results provide empirical support for the claim that the management of the WTC response was very different from normal government operations in many respects. However, it was also found that complete detachment of the network-form of organization from bureaucratic hierarchy is not always possible in an emergency response, particularly in terms of leadership and the availability of resources. Originality/value The authors argue that bureaucratic leadership exists in political layers and is sometimes needed to provide social value to the general public and promote their engagement. Finally, the authors found evidence that the effectiveness of networks in an emergency response is influenced by certain enabling conditions, such as the severity of events, and suggest some implications for government operations.
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Dahlberg, Rasmus. "Who is in the center? A case study of a social network in an emergency management organization." International Journal of Emergency Services 6, no. 1 (2017): 52–66. http://dx.doi.org/10.1108/ijes-07-2016-0013.
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Purpose The purpose of this paper is to explore the social network in an emergency management organization during a large exercise held in Greenland in 2016. Inspired by approaches in business and organizational studies the aim is to investigate the flow of information through formal as well as informal channels. Design/methodology/approach Social network analysis is applied to model this flow and the social network is analyzed with regard to core/periphery structure and actor centrality. In order to explore the relationships between actor attributes such as age, years of experience, operational Arctic experience, smoking and personal interests, a regression analysis is employed with membership of the network core as dependent variable. Findings The findings show that smoking, rank and ad hoc membership of the emergency management organization influence the odds for being in the core of this particular social network most. Finally, some strengths and weaknesses of the approach are discussed as well as implications for future research in the field. Originality/value Emergency management tasks are often performed more through informal coordination than “by the book.” A medium for such informal coordination is the social network that emerges among individual actors who like each other, share interests and experience and communicate directly with each other. Emergency managers use that kind of social network to cut red tape and solve urgent problems and share knowledge in ways not mapped in plans or shown in organigrams. Most practitioners are aware of this, but it is a field not well theorized.
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Qin, Rixia, Xiaohong Zhao, Wenbo Zhu, et al. "Multiple Receptive Field Network (MRF-Net) for Autonomous Underwater Vehicle Fishing Net Detection Using Forward-Looking Sonar Images." Sensors 21, no. 6 (2021): 1933. http://dx.doi.org/10.3390/s21061933.
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Underwater fishing nets represent a danger faced by autonomous underwater vehicles (AUVs). To avoid irreparable damage to the AUV caused by fishing nets, the AUV needs to be able to identify and locate them autonomously and avoid them in advance. Whether the AUV can avoid fishing nets successfully depends on the accuracy and efficiency of detection. In this paper, we propose an object detection multiple receptive field network (MRF-Net), which is used to recognize and locate fishing nets using forward-looking sonar (FLS) images. The proposed architecture is a center-point-based detector, which uses a novel encoder-decoder structure to extract features and predict the center points and bounding box size. In addition, to reduce the interference of reverberation and speckle noises in the FLS image, we used a series of preprocessing operations to reduce the noises. We trained and tested the network with data collected in the sea using a Gemini 720i multi-beam forward-looking sonar and compared it with state-of-the-art networks for object detection. In order to further prove that our detector can be applied to the actual detection task, we also carried out the experiment of detecting and avoiding fishing nets in real-time in the sea with the embedded single board computer (SBC) module and the NVIDIA Jetson AGX Xavier embedded system of the AUV platform in our lab. The experimental results show that in terms of computational complexity, inference time, and prediction accuracy, MRF-Net is better than state-of-the-art networks. In addition, our fishing net avoidance experiment results indicate that the detection results of MRF-Net can support the accurate operation of the later obstacle avoidance algorithm.
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Li, Min, Fangbin Xiao, Yang Cheng, Bi-Jun Xie, Chen-Yun Liu, and Baoni Xu. "Exploring the relationship between network position and innovation performance." Chinese Management Studies 14, no. 1 (2019): 93–111. http://dx.doi.org/10.1108/cms-10-2018-0717.
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Purpose This paper aims to attempt to explore the influence of network position on innovation performance, specifically for companies from a less-developed area in China. Design/methodology/approach The paper uses a social network analysis method based on the data of high and new tech companies from Jiangxi province, China. It relies on Ucinet 6.212 software for data processing. Findings The present work, on the one hand, reveals that a high and new tech company from Jiangxi province tends to achieve better innovation performances if it is in the central position of its social network. On the other hand, it indicates that the same type of company from the same area does not always accomplish better innovation performance, even it possesses more structural holes. Originality/value The conclusions of this paper suggest that a high and new tech company from a less-developed area in China should build up its position closer to the center when constructing a social network. Meanwhile, the company should also exert more effort into managing its networks, as only building structural holes offers little help with operations besides showing that it has a broad social network.
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Liang, Yong, Mengshi Lu, Zuo‐Jun Max Shen, and Runyu Tang. "Data Center Network Design for Internet‐Related Services and Cloud Computing." Production and Operations Management 30, no. 7 (2021): 2077–101. http://dx.doi.org/10.1111/poms.13355.
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Santiváñez, José, and Emanuel Melachrinoudis. "Location of a reliable center on a tree network." Operational Research 7, no. 3 (2007): 419–45. http://dx.doi.org/10.1007/bf03024856.
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Bakos, G., C. Afonso, T. Henning, et al. "HAT-South: A Global Network of Southern Hemisphere Automated Telescopes to Detect Transiting Exoplanets." Proceedings of the International Astronomical Union 4, S253 (2008): 354–57. http://dx.doi.org/10.1017/s174392130802663x.
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AbstractHAT-South is a network of six identical, fully automated wide field telescopes, to be located at three sites (Chile: Las Campanas, Australia: Siding Springs, and Namibia: HESS site) in the Southern hemisphere. The primary purpose of the network is to detect and characterize a large number of extra-solar planets transiting nearby bright stars, and to explore their diversity. Operation of HAT-South is a collaboration among the Harvard-Smithsonian Center for Astrophysics (CfA), Max Planck Institute for Astronomy (MPIA) and the Australian National University (ANU). The network is expected to be ready for initial science operations in 2009. The three sites will permit near round-the-clock monitoring of selected fields, and the continuous data-stream will greatly enhance recovery of transits. HAT-South will be sensitive to planetary transits down to R≈14 across a 128 square-degrees combined field of view, thereby targeting a large number of dwarfs with feasible confirmation-mode follow-up. We anticipate a yearly detection rate of approximately 25 planets transiting bright stars.
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Lu, Xiaoyan, Yanfei Zhong, Zhuo Zheng, Ji Zhao, and Liangpei Zhang. "Edge-Reinforced Convolutional Neural Network for Road Detection in Very-High-Resolution Remote Sensing Imagery." Photogrammetric Engineering & Remote Sensing 86, no. 3 (2020): 153–60. http://dx.doi.org/10.14358/pers.86.3.153.
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Road detection in very-high-resolution remote sensing imagery is a hot research topic. However, the high resolution results in highly complex data distributions, which lead to much noise for road detection—for example, shadows and occlusions caused by disturbance on the roadside make it difficult to accurately recognize road. In this article, a novel edge-reinforced convolutional neural network, combined with multiscale feature extraction and edge reinforcement, is proposed to alleviate this problem. First, multiscale feature extraction is used in the center part of the proposed network to extract multiscale context information. Then edge reinforcement, applying a simplified U-Net to learn additional edge information, is used to restore the road information. The two operations can be used with different convolutional neural networks. Finally, two public road data sets are adopted to verify the effectiveness of the proposed approach, with experimental results demonstrating its superiority.
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Zhang, Dezhi, Shuxin Yang, Shuangyan Li, Jiajun Fan, and Bin Ji. "Integrated Optimization of the Location–Inventory Problem of Maintenance Component Distribution for High-Speed Railway Operations." Sustainability 12, no. 13 (2020): 5447. http://dx.doi.org/10.3390/su12135447.
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Sustainable distribution network design for the maintenance components of electric multiple units (EMUs) is critical to reduce the problem of unreasonable resource allocation and capital occupation of high-speed railway (HSR) operations. Motivated by the above analysis, this study investigates the integrated optimization of the location and inventory of EMU maintenance component distributions. Aiming to improve the sustainable operation for high-speed railway, we proposed a corresponding nonlinear mixed-integer programming model to determine the location of the distribution center (DC) for EMU maintenance component delivery, inventory control strategy, and corresponding service level. The above optimization model is solved by an adaptive improved genetic algorithm. The proposed model and algorithm are applied to a real-world case study on China’s EMU maintenance components. The findings show that a higher service level is not better to achieve the lower total cost in the maintenance component distribution network. The ratios of transportation modes are significant to balance the service level and total cost of the EMU distribution network. Furthermore, the unit out-of-stock cost and the service level both show great impacts on the total costs of the EMU distribution system. Finally, there exists an optimal ratio of different transport modes, which ensures the least total cost of the EMU distribution system.
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Jiménez-Martín, Antonio, Faustino Tello, and Alfonso Mateos. "A Variation of the ATC Work Shift Scheduling Problem to Deal with Incidents at Airport Control Centers." Mathematics 8, no. 3 (2020): 321. http://dx.doi.org/10.3390/math8030321.
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This paper deals with a variation of the air traffic controller (ATC) work shift scheduling problem focusing on the tactical phase, in which the plan for the day of operations can be modified according to real-time traffic demand or other possible incidents (one or more ATCs become sick and/or there is an increase in unplanned air traffic), which may lead to a new sectorization and a lower number of available ATCs. To deal with these issues, we must reassign the available ATCs to the new sectorization established at the time the incident happens, but also taking into account the work done by the ATCs up to that point. We propose a new methodology consisting of two phases. The goal of the first phase is to build an initial possibly infeasible solution, taking into account the sectors that have been closed or opened in the new sectorization, together with the ATCs available after the incident. In the second phase, we use simulated annealing (SA) and variable neighborhood search (VNS) metaheuristics to derive a feasible solution in which the available ATCs are used and all the ATC labor conditions are met. A weighted additive objective function is used in this phase to account for the feasibility of the solution but also for the number of changes in the control center at the time the incident happens and the similarity of the derived solution with templates usually used by the network manager operations center, a center managing the air traffic flows of an entire network of control centers. The methodology is illustrated by means of seven real instances provided by the Air Traffic Management Research, Development and Innovation Reference Center (CRIDA) experts representing possible incidents that may arise. The solutions derived by SA outperform those reached by VNS in terms of both the number of violated constraints in all seven instances, and solution compactability in six out the seven instances, and both are very similar with regard to the number of control center changes at the time of the incident. Although computation times for VNS are clearly better than for SA, CRIDA experts were satisfied with SA computation times. The solutions reached by SA were preferred.
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Wang, Yan Hui, Jun Jin, Ling Xi Zhu, Yong Qin, and Ping Li. "Safety Statistical Analysis Based on Urban Rail Transit Operation." Applied Mechanics and Materials 448-453 (October 2013): 4167–72. http://dx.doi.org/10.4028/www.scientific.net/amm.448-453.4167.
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Aiming at the characteristics of the safety of urban rail transit system operation, this paper adopts the comprehensive analysis and statistical chart included by the statistical analysis to process the data, which is based on the relevant data in accordance with Beijing Rail Traffic Control Center Statistics in 2012 and indicators of the station, line and road network, in addition, the trend and the indicator between horizontal and longitudinal contrast are also analyzed about stations, lines and the road network . The results can conclude the potential security risks information, such as, the maximum early peak average daily transfer of Xizhimen station, the maximum passenger traffic of Line1 ,the maximum passenger traffic of the road network up to July and August, and the largest proportion of signal failure. Finally, the laws can be find out, and the specific prevention measures can be put forward for the management, which has a certain significance for the reduction of accidents, and can give some theoretical guidance to urban rail transit operations managers.
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Chen, Yu-Wen, Jui-Pin Tsai, Liang-Cheng Chang, Chih-Chao Ho, and You-Cheng Chen. "The development of a real-time flooding operation model in the Tseng-Wen Reservoir." Hydrology Research 45, no. 3 (2013): 490–503. http://dx.doi.org/10.2166/nh.2013.301.
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Typhoon events occur frequently in Taiwan resulting in flood-related disasters. A well-operated reservoir can reduce the severity of a disaster. This study incorporates a genetic algorithm, a river hydraulic model, an artificial neural network and a simulation model of Tseng-Wen Reservoir to propose a real-time flooding operation model. The model includes two parts: an optimal flooding operation model (OFOM) and a reservoir inflow forecasting. Given an inflow condition, the OFOM is run based on the safety of the dam structure, reservoir flooding operation rule, and minimization of the downstream loss due to flood. A simple and robust model for reservoir inflow forecasting, which automatically chooses the most similar event from a typhoon event database as the future inflow, is developed. This study compares the model results with the real operations during Typhoons Sepat, Krosa, Kalmaegi, Fung-wong, Sinlaku, and Jangmi. This study compares the performances of the proposed model with the practical operation operated by the management center of Tseng-Wen Reservoir. The proposed model indicates shorter flooding duration in the downstream area. For example, the flood durations of the model output are 4 and 3 hours shorter during Typhoon Krosa and Sinlaku, respectively, than the practical operations.
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Pérez V., Gustavo, and Stefany Marrugo Ll. "Design methodology of a militar messaging system." Ciencia y tecnología de buques 4, no. 8 (2011): 61. http://dx.doi.org/10.25043/19098642.46.
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The paper describes the design methodology of a military messaging system. The system’s design is characterized by its coherence among security, transmission medium, and design protocol, which allow added value in the strategic operations center. The system allows using a selected data base for subsequent applications of operations research tools and simulation. The system was designed with a low bandwidth communications network (HF / VHF / UHF and satellite phone calls) as the transmission media. The messaging system security is based on a public key cryptographic system. The paper also shows some of the test results of the system’s functionality.
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Morales-Alzate, Luis Fernando, Clara Solano-Vanegas, Angela Carrillo-Ramos, Jairo Montoya-Torres, Ramon Fabregat, and Jaime A. Pavlich-Mariscal. "Accomm: adaptive system for supply network operational planning." International Journal of Web Information Systems 14, no. 1 (2018): 78–106. http://dx.doi.org/10.1108/ijwis-02-2017-0010.
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Purpose This paper aims to present Accomm a software implementation of Ágora-SN, a supply network (SN) customer-oriented model integrated with an Adaptation Model. Accomm serves two purposes: as an experimental validation tool to measure the impact of Adaptation on an agribusiness SN model and as a logistic and marketing operations planning assistant. Design/methodology/approach The design of Accomm is based on the results of the Ágora-SN model that comprises the following tasks: to characterize the SN actors’ processes ( composed of multiple first-tier suppliers, a focal company and multiple first-tier customers), identifying the ones oriented to the customer; to integrate these processes into a SN model which incorporates a supplier cooperation model; and to provide an adaptation model that implements a customer profile and a context profile to improve order fulfillment. Findings To validate the Ágora-SN model, a prototype Accomm was created referred to a real Colombian agribusiness sector company, specifically in the floriculture sector. This prototype was validated through two methods: a usability scale and a set of scenarios that compared the application’s behavior with and without adaptation and cooperation. The application provides a better response to demand when both adaptation and cooperation are enabled. Research limitations/implications This work was tested in an academic environment and was validated by different experts. Further tests in operational real-life environments are required to fully validate the approach. Originality/value The main contribution of this work is the integration of Adaptation into a SN model as a way to center the SN toward the customer. As an additional contribution, the validation tool Accomm is conceived as an operational planning tool for agribusiness SN.
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Guo, Xiao Jun, Lei Lei Gao, Tai Yong Wang, and Zhen Nan Li. "Research on Agricultural Harvester Data Detection System Based on Remote Monitoring." Advanced Materials Research 819 (September 2013): 165–70. http://dx.doi.org/10.4028/www.scientific.net/amr.819.165.
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On-line detection system of the harvester is an outcome from combination of modern computer technology and communication technology in harvester operations applications. With the help of the various sensors, the harvest yield, running routes, and threshing wheel speed, etc. are measured. These information and parameter are indicator of the harvesters working status. They are detected, processed, packed, and transmitted to the computer server in monitoring center via a wireless network. On the monitoring center server, the transmitted data is processed further, fault data are inspected, reliability data is calculated. Meanwhile, the harvester is controlled according to accepted data.
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Bothun, Gregory D. "Data networks and sustainability education in African universities." International Journal of Sustainability in Higher Education 17, no. 2 (2016): 246–68. http://dx.doi.org/10.1108/ijshe-07-2014-0111.
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Purpose – The purpose of this paper is to provide a case study report of the development of data networks and initial connectivity in the Sub-Saharan African (SSA) region and how that development evolved into the formation of research and education (R & E) networks that enable new collaborations and curriculum potential. Design/methodology/approach – This case study is presented through the past 20 year’s operations and field activities of the Network Startup Resource Center (NSRC) at the University of Oregon, who in partnership with the National Science Foundation has worked together to significantly train network engineers in Africa on how to develop regional R & E networks that can link together the various research universities in SSA. Findings – The author shows how the development of these networks have fostered improved collaboration between African and US scientists, particularly around issues that relate to climate change. This paper contains testimonials from both scientists and on-the-ground key directors in Africa about the value of these improved networks. The expansion of regional R & E networks has allowed the Association of African Universities (AAU) to launch sustainable development as one of its new core programs over the period 2013-2017. Within this new core AAU program are four sub-themes: agriculture and food security, water resources management, climate change and energy. All of these themes will benefit directly from these new, network-enabled, data-sharing abilities. Practical implications – The current state of network-driven curriculum and curriculum exchange between African universities is assessed and compared that to that in the early days of academic network penetration (1990-2000) in the USA to find similar rates of evolution. Since 2015, SSA has sufficient network access and connectivity to now enable a wide variety of new collaborative research and collaborative academic programs. Originality/value – The experience and operational competence of the NSRC at the University of Oregon needs to be detailed and espoused. No other American university has had such an impact on Africa in terms of improving its overall network infrastructure enabling new kinds of collaborative research on real-world problems, such as climate change and resource depletion in Africa.
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Yang, Fucheng, Jie Song, Wei Xiong, and Xutao Cui. "UAV-Based Collaborative Electronic Reconnaissance Network for 6G." Wireless Communications and Mobile Computing 2021 (September 3, 2021): 1–7. http://dx.doi.org/10.1155/2021/5827665.
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In unmanned aerial vehicle (UAV) collaborative electronic reconnaissance network, single UAV is always restricted by flyability and sensing capacity; hence, a cooperative network is built to realize the electronic reconnaissance. In this paper, a three-level electronic reconnaissance network is proposed, including the radiation target, UAV-based electronic reconnaissance equipment, and the command center. Each of the UAVs is capable of monitoring several radiation targets at the same time. Since the topology of the UAV network influences the effect of electronic reconnaissance, in this contribution, optimization is achieved based on the improvement of radiation coverage. If there is no radiation target within the sensing scope, the corresponding UAV will remove according to our novel strategy. Iterate operations are carried out for the relative optimum performance. Simulation results show that the UAV network topology optimization is capable of improving the coverage of radiation targets effectively.
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Sherman, S. L., M. B. Waldinger, E. M. Lepisto, J. M. Hinkel, K. A. Minogue, and D. E. Paul. "The 2008 National Comprehensive Cancer Network (NCCN) Research Benchmarking Survey (RBS): Clinical trials (CTs) operations in the academic center." Journal of Clinical Oncology 28, no. 15_suppl (2010): 6154. http://dx.doi.org/10.1200/jco.2010.28.15_suppl.6154.
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Vigil, Ofilio Ramon, Dana Ann Little, Kristin J. Mensonides, and Richard J. Bold. "The cancer care network clinical trials program: Rising from the camp fire ashes." Journal of Clinical Oncology 37, no. 27_suppl (2019): 168. http://dx.doi.org/10.1200/jco.2019.37.27_suppl.168.
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168 Background: The UC Davis Health Cancer Care Network (CCN) in Sacramento improves quality through partnerships with community cancer centers and the UC Davis Comprehensive Cancer Center (UCDCCC). The UCDCCC, as an NCI Lead Academic Participating Site (LAPS) grant recipient, lists Adventist Health Rideout Cancer Center (RCC) in Marysville (42 miles north of Sacramento) as a component. The Adventist Health Feather River Cancer Center (FRCC) and the town of Paradise were devastated by the 2018 Camp Fire, forcing FRCC’s relocation to the city of Chico (49 miles north of Marysville). FRCC was forced to disband its local IRB and unable to continue clinical trials research operations during the aftermath of this natural disaster. The CCN established an affiliation with the FRCC in April 2019. Future plans include establishing an IRB agreement and adding FRCC as a LAPS component. The CCN identified strategies to facilitate the participation of FRCC patients in clinical trials. Methods: The CCN identified 13 NCTN clinical trials with 34 enrolled patients that were in need of appropriate research oversight. Four of these trials were previously never activated at the UCDCCC or its affiliates. CCN staff engaged leaders at the various institutions involved: Quality Assurance (QA) Managers at each NCTN research base, the CIRB, the local IRB, the CTSU, and other leaders within UC Davis and Adventist Health. Results: Stakeholders acknowledged the unusual and urgent nature of our requests and questions, while contributing to the development of a plan allowing patients to continue clinical trial participation. QA managers approved a plan transferring patients to the RCC, allowing research staff to collect and submit data while patients continue receiving care closer to home. Together we developed a notification letter to inform patients of this plan. Conclusions: The relocation of facilities and patients brought rare challenges while conducting clinical research in rural communities. We learned that the cooperation and flexibility of all parties involved was crucial in supporting the continued care for FRCC's clinical trial patients and research contributions.
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Piao, Xing Zhe, Yu Shan Xue, Cheng Gao, and Ying Shun Li. "Intelligent Heat Meter of Monitoring and Controlling System for Heating Supply Based on GPRS Network." Advanced Materials Research 614-615 (December 2012): 695–700. http://dx.doi.org/10.4028/www.scientific.net/amr.614-615.695.
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In order to realize long-range real-time online monitor and control of the measured data on the spot, and bring about control consumption of heat-energy according to need, a heat meter is developed for heating supply based on GPRS network technology. Low-power single-chip microcomputer MSP430FW427 is adopted as the measuring instruments in which SIEMENS MC55 module was used as a GPRS communication and LC oscillator coupling technology as flow sensor. In addition, the measurement principle of the heat quantity, the design methods of the software and hardware for heat meter are explained in detail, and the mathematical models of temperature and liquid sensor are established in the paper. Application of GPRS communication technology provides a transparent data transmission channel, thus realizing real-time data exchange between fared knots and monitoring center. On-the-spot operations prove that when the system is in real operation, data transmission rate is about 61.8kbps, thus having more advantages of security，accuracy and data transmission rate, effectively solving the problem of a large number of investment on traditional remote monitoring and control system.
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Parimala, Mani, Arwa Almunajam, Muthusamy Karthika, and Ibtesam Alshammari. "Pythagorean Fuzzy Digraphs and Its Application in Healthcare Center." Journal of Mathematics 2021 (September 6, 2021): 1–6. http://dx.doi.org/10.1155/2021/5459654.
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The notion of fuzzy set is introduced to deal with uncertainty, whereas the conventional sets are used for certainty. The extensions of fuzzy set theory such as intuitionistic fuzzy set (IFS) and Pythagorean fuzzy sets (PyFS) were introduced to overcome drawbacks in fuzzy theory. Fuzzy graph structure is used to deal with the uncertainty in a network and describe its relation on the nonempty vertex set. One of the extensions of intuitionistic fuzzy digraph (IFDG) is Pythagorean fuzzy digraph (PyFDG). IFDG cannot handle if the sum of degree of acceptance and degree of rejection for an arc weight exceeds 1. So, we introduced PyFDG to overcome the limitations in IFDG and it deals with the imprecise arc weight involving degree of acceptance and degree of rejection. Pythagorean fuzzy digraph (PyFDG) and its basic operations and score function of PyFDG are defined in this paper. Algorithm is proposed to solve application problem in healthcare center.