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Journal articles on the topic 'Large Scale Systems'

To see the other types of publications on this topic, follow the link: Large Scale Systems.

Author: Grafiati

Published: 4 June 2021

Last updated: 1 August 2024

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1

K., Ferents Koni. "MCMC based SOR Detector for Large Scale MIMO Systems." Journal of Advanced Research in Dynamical and Control Systems 51, SP3 (February 28, 2020): 538–43. http://dx.doi.org/10.5373/jardcs/v12sp3/20201290.

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2

Nikitin, D. A. "Large Scale Systems Control." Automation and Remote Control 80, no. 9 (September 2019): 1717–33. http://dx.doi.org/10.1134/s0005117919090121.

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3

Haimes, Y. Y., and I. Lefkowitz. "Large-scale control systems." Automatica 23, no. 2 (March 1987): 265–66. http://dx.doi.org/10.1016/0005-1098(87)90107-5.

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4

Abu-aished, Akram A., and Shafin Mahmud. "Designing Large scale Photovoltaic Systems." Renewable Energy and Power Quality Journal 18 (June 2020): 369–74. http://dx.doi.org/10.24084/repqj18.332.

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5

Sommerville, Ian, Dave Cliff, Radu Calinescu, Justin Keen, Tim Kelly, Marta Kwiatkowska, John Mcdermid, and Richard Paige. "Large-scale complex IT systems." Communications of the ACM 55, no. 7 (July 2012): 71–77. http://dx.doi.org/10.1145/2209249.2209268.

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6

Kosztyán, Zsolt T. "Serviceability of large-Scale systems." Simulation Modelling Practice and Theory 84 (May 2018): 222–31. http://dx.doi.org/10.1016/j.simpat.2018.03.002.

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7

Furber, Steve. "Large-scale neuromorphic computing systems." Journal of Neural Engineering 13, no. 5 (August 16, 2016): 051001. http://dx.doi.org/10.1088/1741-2560/13/5/051001.

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8

INOUE, Koichi, and Takehisa KOHDA. "Improving Large-Scale Systems Reliability." Journal of the Society of Mechanical Engineers 94, no. 877 (1991): 1015–18. http://dx.doi.org/10.1299/jsmemag.94.877_1015.

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9

Jürgensen, H. "Large-scale MOVPE production systems." Microelectronic Engineering 18, no. 1-2 (May 1992): 119–48. http://dx.doi.org/10.1016/0167-9317(92)90125-b.

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10

Siegel, Howard Jay, Thomas Schwederski, David G. Meyer, and William Tsun-yuk Hsu. "Large-scale parallel processing systems." Microprocessors and Microsystems 11, no. 1 (January 1987): 3–20. http://dx.doi.org/10.1016/0141-9331(87)90325-5.

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11

Korzun, Dmitry G. "Local and Global Models for Large-Scale Peer-to-Peer Systems." Journal on Selected Topics in Nano Electronics and Computing 1, no. 1 (December 2013): 10–23. http://dx.doi.org/10.15393/j8.art.2013.2961.

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12

Dora, H. Mallesam. "Design of Controller for Large-Scale Uncertain Systems Adopting Affine Arithmetic." Journal of Advanced Research in Instrumentation and Control Engineering 07, no. 3&4 (October 5, 2021): 1–4. http://dx.doi.org/10.24321/2456.1398.202002.

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In this article presents a new controller design technique for large scale uncertain systems. The new controller is designed through a reduced order system from certain high order system. In the projected reduction method, the numerator coefficients are obtained with γ-table while the denominator polynomial is achieved with δ - table. An optimised reduced order model is derived with minimum value of ISE. In this proposed method gives better stability of the reduced order model, if consider the original stable high order system. A PID controller is designed for the high order original systems through its proposed reducer order model. Consider several numerical examples are available in the literatureto illustrate the usefulness of the proposed method andit gives sufficientoutcome.

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13

PARK, Jongkil. "Introduction to Large-Scale Neuromorphic Systems." Physics and High Technology 28, no. 4 (April 30, 2019): 9–12. http://dx.doi.org/10.3938/phit.28.012.

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14

Gadasin, Denis V., Andrey V. Shvedov, and Alyona A. Yudin. "CLUSTERING METHODS IN LARGE-SCALE SYSTEMS." SYNCHROINFO JOURNAL 6, no. 5 (2020): 21–24. http://dx.doi.org/10.36724/2664-066x-2020-6-5-21-24.

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Interactions between people, groups, organizations, and biological cells have a relationship character that can be represented as a network. The system properties of such networks, regardless of their physical nature, but clearly determining the performance of networks, create the totality of the real world. Complex networks – are naturally existing networks (graphs) that have complex topological properties. The researchers who participate and also make discoveries in this field come from various Sciences such as mathematics, computer science, physics, sociology, and engineering. Therefore, the results of research carry both theoretical knowledge and practical applications in these Sciences. This paper discusses the definition of complex networks. The main characteristics of complex networks, such as clustering and congestion, are considered. A popular social network is considered as a complex network. The calculation of nodes and links of the considered social network is made. The main types of AI development and training are highlighted.

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15

Johnson, Roger, George Roussos, and Luca Vetti Tagliati. "Requirements analysis for large scale systems." Journal of Object Technology 7, no. 8 (2008): 117. http://dx.doi.org/10.5381/jot.2008.7.8.a3.

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16

Cavarischia, Leonardo, and Leonardo Lanari. "INVARIANT SUBSPACES IN LARGE SCALE SYSTEMS." IFAC Proceedings Volumes 40, no. 9 (2007): 380–85. http://dx.doi.org/10.3182/20070723-3-pl-2917.00062.

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17

IKEDA, Masao, Sumiaki MATSUMOTO, Guisheng ZHAI, and Yasumasa FUJISAKI. "Decentralized Stabilization of Large-Scale Systems." Transactions of the Society of Instrument and Control Engineers 34, no. 12 (1998): 1962–64. http://dx.doi.org/10.9746/sicetr1965.34.1962.

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18

CHEN, BOR-SEN, and HUNG-CHING LU. "State estimation of large-scale systems." International Journal of Control 47, no. 6 (June 1988): 1613–32. http://dx.doi.org/10.1080/00207178808906125.

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19

Delic, Kemal A., and Umeshwar Dayal. "Adaptation in large-scale enterprise systems." Ubiquity 2004, August (August 2004): 1. http://dx.doi.org/10.1145/1022365.1022359.

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20

Koob, Gary. "Large-scale distributed real-time systems." ACM Computing Surveys 28, no. 4es (December 1996): 181. http://dx.doi.org/10.1145/242224.242460.

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21

Popescu, Dumitru, Mihaela Mateescu, and Bogdan Ciubotaru. "OPTIMAL DECISIONS FOR LARGE SCALE SYSTEMS." IFAC Proceedings Volumes 38, no. 1 (2005): 130–35. http://dx.doi.org/10.3182/20050703-6-cz-1902.01562.

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22

Mulvey, John M., Robert J. Vanderbei, and Stavros A. Zenios. "Robust Optimization of Large-Scale Systems." Operations Research 43, no. 2 (April 1995): 264–81. http://dx.doi.org/10.1287/opre.43.2.264.

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23

Naidu, D. "Large scale systems modeling [Book Reviews]." IEEE Transactions on Automatic Control 31, no. 5 (May 1986): 480. http://dx.doi.org/10.1109/tac.1986.1104285.

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24

Zhou, Lidong. "Building reliable large-scale distributed systems." ACM SIGACT News 40, no. 3 (September 25, 2009): 78–85. http://dx.doi.org/10.1145/1620491.1620507.

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25

ZHAI, Guisheng, and Masao IKEDA. "DecentralizedH∞ Control of Large-Scale Systems." Transactions of the Institute of Systems, Control and Information Engineers 8, no. 7 (1995): 312–19. http://dx.doi.org/10.5687/iscie.8.312.

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26

Konstan, Joseph A., J. D. Walker, D. Christopher Brooks, Keith Brown, and Michael D. Ekstrand. "Teaching Recommender Systems at Large Scale." ACM Transactions on Computer-Human Interaction 22, no. 2 (April 15, 2015): 1–23. http://dx.doi.org/10.1145/2728171.

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27

Safonov, M. G. "Large-scale systems modelling and control." Proceedings of the IEEE 73, no. 8 (1985): 1340–41. http://dx.doi.org/10.1109/proc.1985.13289.

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28

Lu, Yi, James Cheng, Da Yan, and Huanhuan Wu. "Large-scale distributed graph computing systems." Proceedings of the VLDB Endowment 8, no. 3 (November 2014): 281–92. http://dx.doi.org/10.14778/2735508.2735517.

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29

Matni, Nikolai, Yoke Peng Leong, Yuh Shyang Wang, Seungil You, Matanya B. Horowitz, and John C. Doyle. "Resilience in Large Scale Distributed Systems." Procedia Computer Science 28 (2014): 285–93. http://dx.doi.org/10.1016/j.procs.2014.03.036.

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30

Kołodziej, Joanna, Horacio González-Vélez, Fatos Xhafa, and Leonard Barolli. "Intelligent computing in large-scale systems." Knowledge Engineering Review 30, no. 2 (March 2015): 137–39. http://dx.doi.org/10.1017/s0269888914000253.

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AbstractIntelligent computing in large-scale systems provides systematic methodologies and tools for building complex inferential systems, which are able to adapt, mine data sets, evolve, and act in a nimble manner within major distributed environments with diverse architectures featuring multiple cores, accelerators, and high-speed networks.We believe that the papers presented in this special issue ought to serve as a reference for students, researchers, and industry practitioners interested in the evolving, interdisciplinary area of intelligent computing in large-scale systems. We very much hope that readers will find in this compendium new inspiration and ideas to enhance their own research.

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31

Feliachi, A., and Xiaofan Zhang. "Eigenvalue Ranking for Large Scale Systems." IFAC Proceedings Volumes 25, no. 18 (August 1992): 193–97. http://dx.doi.org/10.1016/s1474-6670(17)49969-1.

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32

Hodžić, M. I. "Iterative Identification of Large Scale Systems." IFAC Proceedings Volumes 21, no. 9 (August 1988): 471–76. http://dx.doi.org/10.1016/s1474-6670(17)54772-2.

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33

Vansteenkiste, G. C. "Process Control of Large Scale Systems." IFAC Proceedings Volumes 20, no. 12 (September 1987): 23–27. http://dx.doi.org/10.1016/s1474-6670(17)55601-3.

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34

Hassan, Mohamed F. "Large scale systems, modeling and control." Automatica 21, no. 2 (March 1985): 219–20. http://dx.doi.org/10.1016/0005-1098(85)90120-7.

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35

Ladde, G. S., and O. Sirisaengtaksin. "Large-scale stochastic singularly perturbed systems." Mathematics and Computers in Simulation 31, no. 1-2 (February 1989): 31–40. http://dx.doi.org/10.1016/0378-4754(89)90051-7.

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36

Gregory, W. S., R. A. Martin, B. W. White, B. D. Nichols, P. R. Smith, I. H. Leslie, D. L. Fenton, M. V. Gunaji, and J. P. Blythe. "Fires in large scale ventilation systems." Nuclear Engineering and Design 125, no. 3 (March 1991): 337–45. http://dx.doi.org/10.1016/0029-5493(91)90340-n.

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37

Holcombe, Mike, Simon Coakley, Mariam Kiran, Shawn Chin, Chris Greenough, David Worth, Silvano Cincotti, et al. "Large-Scale Modeling of Economic Systems." Complex Systems 22, no. 2 (June 15, 2013): 175–92. http://dx.doi.org/10.25088/complexsystems.22.2.175.

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38

OSTROVSKY, G. M., Ye M. MIKHAILOVA, and T. A. BEREZHINSKY. "Optimization of large-scale complex systems." International Journal of Systems Science 17, no. 8 (August 1986): 1121–32. http://dx.doi.org/10.1080/00207728608926874.

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39

Kettle, Jeff. "Ready cells for large-scale systems." Nature Energy 4, no. 7 (June 17, 2019): 536–37. http://dx.doi.org/10.1038/s41560-019-0422-2.

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40

Azizan, Navid. "Optimization Algorithms for Large-Scale Systems." ACM SIGMETRICS Performance Evaluation Review 47, no. 3 (January 23, 2020): 2–5. http://dx.doi.org/10.1145/3380908.3380910.

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41

Diao, Yixin, Joseph L. Hellerstein, and Sujay Parekh. "Control of large scale computing systems." ACM SIGBED Review 3, no. 2 (April 2006): 17–22. http://dx.doi.org/10.1145/1143489.1143494.

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42

GEORGIOU, APOSTOLOS, and CHRISTODOULOS A. FLOUDAS. "Structural properties of large scale systems." International Journal of Control 51, no. 1 (January 1990): 169–87. http://dx.doi.org/10.1080/00207179008934055.

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43

Jerger, Natalie Enright, and Mikko Lipasti. "Systems for Very Large-Scale Computing." IEEE Micro 31, no. 3 (May 2011): 4–7. http://dx.doi.org/10.1109/mm.2011.59.

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44

Zheng, Kan, Long Zhao, Jie Mei, Bin Shao, Wei Xiang, and Lajos Hanzo. "Survey of Large-Scale MIMO Systems." IEEE Communications Surveys & Tutorials 17, no. 3 (2015): 1738–60. http://dx.doi.org/10.1109/comst.2015.2425294.

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45

Bayer, Ulf. "Sediment compaction in large scale systems." Geologische Rundschau 78, no. 1 (July 1989): 155–69. http://dx.doi.org/10.1007/bf01988358.

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46

Ciołczyk, Michał, Mariusz Wojakowski, and Maciej Malawski. "Tracing of large-scale actor systems." Concurrency and Computation: Practice and Experience 30, no. 22 (May 31, 2018): e4637. http://dx.doi.org/10.1002/cpe.4637.

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47

Xi, Yugeng. "Special section: Large scale complex systems." Annual Reviews in Control 38, no. 1 (2014): 45–46. http://dx.doi.org/10.1016/j.arcontrol.2014.03.004.

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48

Peres, P. L. D., A. Yamakami, and J. C. Geromel. "Decentralized Control of Large Scale Systems with Multiple Time Scales." IFAC Proceedings Volumes 20, no. 5 (July 1987): 57–60. http://dx.doi.org/10.1016/s1474-6670(17)55127-7.

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49

Berenbach, Brian, and John Worl. "Requirements Engineering for Large Scale Systems: Contract Based Systems." INCOSE International Symposium 21, no. 1 (June 2011): 2823. http://dx.doi.org/10.1002/j.2334-5837.2011.tb01302.x.

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50

Luz, Ricardo, Clarissa Carneiro Mussi, Ademar Dutra, and Leonardo Correa Chaves. "Implementation of large-scale health information systems." Revista de Gestão 28, no. 2 (May 20, 2021): 106–32. http://dx.doi.org/10.1108/rege-06-2019-0064.

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PurposeThe study aims to analyze the previous literature on government initiatives to implement health information systems (HISs).Design/methodology/approachProknow-C (Knowledge Development Process-Constructivist) was used in the selection of the literature and in the bibliometric and systematic analysis.FindingsThe research identified a portfolio composed of 33 articles aligned with the research theme and with scientific recognition, as well as periodicals, authors, papers and keywords that stood out the most. Amongst the government initiatives in the 24 identified countries, England has been the most studied nation, and there is a certain prominence of research arising from developed countries. Electronic health records (EHRs) have been the most explored technology. Efficiency and safety of health care delivery, integration of information and among health organizations, cost reduction and economicity are the most expected benefits from government programs. The difficulties found are related to the broader context in which the system is inserted, to the management of the program, to technology itself and to individuals. The most emphasized difficulties identified in most countries were previous context marked by a lack of standardization/interoperability, acceptance of providers and users and project financing. The findings of the present article provide a theoretical framework for future studies, in addition to yielding a replicable process for future use.Originality/valueThis research may be considered original as it analyzes – through a constructivism-structured process (Proknow-C) – the phenomenon under investigation by gathering bibliometric and systematic review data concomitantly. The countries and technologies reported emerge from the process itself.

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