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Journal articles on the topic 'Systems'

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

Author: Grafiati

Published: 4 June 2021

Last updated: 28 July 2024

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1

Bielik, Valerii, Yuriy Morozov, and Mykola Morozov. "Sensors in Cyber-Physical Systems Based on Android Operating System." Advances in Cyber-Physical Systems 6, no. 2 (December 17, 2021): 83–89. http://dx.doi.org/10.23939/acps2021.02.083.

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The cyber-physical systems take the major part of any system that help users to interact with environment processes. Cyber-physical systems are intelligent systems, which include networks of physical and computing components that interact on internal level. The basis for the development of various models of cyber-physical systems are the using of measuring instruments and their software. Measuring instruments are necessary to control technological parameters processes and the environment. The purpose was to investigate the features of interaction with sensors, to identify the most useful of them in use, to classify types and describe their capabilities for future use in developing of cyber-physical systems. The relevance of the choice of this topic is that mobile and cyber-physical systems occupy a significant place in modern life. The systems that help the user to simplify daily tasks are of maximum benefit. These tasks can be attributed to the tasks of the environment as they exist and are performed in it. Especially cyber-physical systems that interact with the environment have the ability to solve such problems. Sensors act as a tool of interaction, the so-called bridge between the environment and the program. Sensors collect and provide information for further processing and use in solving problems.

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2

Khan, Javeed Ahmad. "Grid connected PV systems and their growth in power system." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 1791–97. http://dx.doi.org/10.31142/ijtsrd11646.

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3

Azrul, Mohd. "Applications of Energy Storage Systems in Wind Based Power System." International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (October 31, 2018): 284–91. http://dx.doi.org/10.31142/ijtsrd18468.

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4

Irfan, C. M. Althaff, Karim Ouzzane, Shusaku Nomura, and Yoshimi Fukumura. "211 AN ACCESS CONTROL SYSTEM For E-Learning MANAGEMENT SYSTEMS." Proceedings of Conference of Hokuriku-Shinetsu Branch 2010.47 (2010): 59–60. http://dx.doi.org/10.1299/jsmehs.2010.47.59.

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5

Sharkov, George. "A System-of-Systems Approach to Cyber Security and Resilience." Information & Security: An International Journal 37 (2017): 69–94. http://dx.doi.org/10.11610/isij.3706.

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6

Alekhin, V. A. "Designing Electronic Systems Using SystemC and SystemC–AMS." Russian Technological Journal 8, no. 4 (August 6, 2020): 79–95. http://dx.doi.org/10.32362/2500-316x-2020-8-4-79-95.

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Current trends in the design of electronic systems is the use of embedded systems based on systems on a chip (System-on-Chip (SoC)) or (VLSI SoC). The paper discusses the design features of electronic systems on a chip using the SystemC design and verification language. For the joint design and simulation of digital systems hardware and software, seven modeling levels are presented and discussed: executable specification, disabled functional model, temporary functional model, transaction-level model, behavioral hardware model, accurate hardware model, register transfer model. The SystemC design methodology with functional verification is presented, which reduces development time.The architecture of the SystemC language and its main components are shown. The expansion of SystemC–AMS for analog and mixed analog-digital signals and its use cases in the design of electronic systems are considered. Computing models are discussed: temporary data stream (TDF), linear signal stream (LSF) and electric linear networks (ELN). The architecture of the SystemC–AMS language standard is shown and examples of its application are given. It is shown that the design languages SystemC and SystemC–AMS are widely used by leading developers of computer-aided design systems for electronic devices.

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7

Li, Fangyan, Eric Dekneuvel, Rémi Butaud, and Gilles Jacquemod. "Wireless RF systems modelling using SystemC." Microelectronics Journal 58 (December 2016): 60–69. http://dx.doi.org/10.1016/j.mejo.2016.10.011.

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8

Augusto Arbugeri, Cesar, Neilor Colombo Dal Pont, Tiago Kommers Jappe, Samir Ahmad Mussa, and Telles Brunelli Lazzarin. "Control System for Multi-Inverter Parallel Operation in Uninterruptible Power Systems." Eletrônica de Potência 24, no. 1 (February 1, 2018): 37–46. http://dx.doi.org/10.18618/rep.2019.1.0016.

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9

Staiger, Robert, and Adrian Tantau. "Fuel Cell Heating System a Meaningful Alternative to Today’s Heating Systems." Journal of Clean Energy Technologies 5, no. 1 (2017): 35–41. http://dx.doi.org/10.18178/jocet.2017.5.1.340.

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10

Nekhili, Ramzi. "Systemic risk and interconnectedness in Gulf Cooperation Council banking systems." Banks and Bank Systems 15, no. 1 (March 25, 2020): 158–66. http://dx.doi.org/10.21511/bbs.15(1).2020.15.

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Nowadays, financial interconnectedness is the main driver of systemic risk. Thus, there is a constant need for tools to assess and manage systemic risk. This paper offers an alternative model framework to measure systemic risk and examine interconnectedness between direct exposures across banking systems in the emerging markets of the Gulf Cooperation Council (GCC). To ensure consistency and efficiency of systemic risk estimates and to capture its multifaceted nature, the methodology measures systemic risk using a combination of Filtered Historical Simulation and nonparametric regression and then examines the interconnectedness using a network analysis. The results reveal that shocks originating in the banking systems in Saudi Arabia may potentially cause a cascade of failures in the banking systems of most GCC countries. The banking system in Oman, however, is robust enough to withstand any ripple effect from adverse shocks affecting GCC’s major banking systems. Such results present some policy implications for regulators and supervisors and may benefit asset managers and investors in making portfolio allocation decisions.

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11

Eversheim, W., B. Dahl, G. Marczinski, and M. Holland. "CAD-Systeme und NC-Programmiersysteme koppeln / Interlinking CAD systems and NC programming systems." Zeitschrift für wirtschaftlichen Fabrikbetrieb 85, no. 5 (May 1, 1990): 267–71. http://dx.doi.org/10.1515/zwf-1990-850513.

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12

SCOTT, W. RICHARD. "Systems Within Systems." American Behavioral Scientist 28, no. 5 (May 1985): 601–18. http://dx.doi.org/10.1177/000276485028005004.

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13

Dudykevyc, Valeriy, Galyna Mykytyn, Taras Kret, and Andrii Rebets. "Security of Cyber-Physical Systems from Concept to Complex Information Security System." Advances in Cyber-Physical Systems 1, no. 2 (February 23, 2016): 67–75. http://dx.doi.org/10.23939/acps2016.02.067.

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14

Ivancha, V. P., and V. V. Belozerov. "ADAPTATION OF THE ADVANTA INFORMATION SYSTEM FOR PROJECT MANAGEMENT IN ENGINEERING SYSTEMS." European Journal of Natural History, no. 5 2023 (2023): 4–8. http://dx.doi.org/10.17513/ejnh.34363.

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15

J, Manikandan, and Akash M. "Regenerative Braking Systems (RBS) (Future of Braking Systems)." International Journal of Psychosocial Rehabilitation 23, no. 4 (July 20, 2019): 206–13. http://dx.doi.org/10.37200/ijpr/v23i4/pr190178.

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16

Sitarska-Buba, Monika. "3RD PLATFORM SYSTEMS AS THE NEXT STAGE OF DEVELOPMENT OF IT SYSTEMS SUPPORTING A COMPANY." Informatyka Ekonomiczna, no. 45 (2017): 92–108. http://dx.doi.org/10.15611/ie.2017.3.08.

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17

Hipel, Keith W., D. Marc Kilgour, and Liping Fang. "Systems methodologies in Vitae Systems of Systems." Journal of Natural Disaster Science 32, no. 2 (2011): 63–77. http://dx.doi.org/10.2328/jnds.32.63.

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18

Kuniba, Atsuo, Tomoki Nakanishi, and Junji Suzuki. "T-systems andY-systems in integrable systems." Journal of Physics A: Mathematical and Theoretical 44, no. 10 (February 18, 2011): 103001. http://dx.doi.org/10.1088/1751-8113/44/10/103001.

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19

R, Karupusamy. "Information Systems." International Journal of Research Publication and Reviews 4, no. 4 (April 2023): 3633–35. http://dx.doi.org/10.55248/gengpi.4.423.36452.

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20

Anno, Junpei, Leonard Barolli, Arjan Durresi, Fatos Xhafa, and Akio Koyama. "Performance Evaluation of Two Fuzzy-Based Cluster Head Selection Systems for Wireless Sensor Networks." Mobile Information Systems 4, no. 4 (2008): 297–312. http://dx.doi.org/10.1155/2008/876212.

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Sensor networks supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities are emerging as a critically important computer class that enable novel and low cost applications. There are many fundamental problems that sensor networks research will have to address in order to ensure a reasonable degree of cost and system quality. Cluster formation and cluster head selection are important problems in sensor network applications and can drastically affect the network's communication energy dissipation. However, selecting of the cluster head is not easy in different environments which may have different characteristics. In this paper, in order to deal with this problem, we propose two fuzzy-based systems for cluster head selection in sensor networks. We call these systems: FCHS System1 and FCHS System2. We evaluate the proposed systems by simulations and have shown that FCHS System2 make a good selection of the cluster head compared with FCHS System1 and another previous system.

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21

Nielsen, Claus Ballegaard, Peter Gorm Larsen, John Fitzgerald, Jim Woodcock, and Jan Peleska. "Systems of Systems Engineering." ACM Computing Surveys 48, no. 2 (November 21, 2015): 1–41. http://dx.doi.org/10.1145/2794381.

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22

SLIKKER, WILLIAM, ZENGJUN XU, and CHENG WANG. "Systems Biology/Systems Toxicology." Annals of the New York Academy of Sciences 1053, no. 1 (June 28, 2008): 309–10. http://dx.doi.org/10.1111/j.1749-6632.2005.tb00038.x.

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23

Pappalardo, Adriano. "Electoral Systems, Party Systems." Party Politics 13, no. 6 (November 2007): 721–40. http://dx.doi.org/10.1177/1354068807080084.

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24

Grady, Jeffrey O. "5.2.2 SYSTEMS BEGET SYSTEMS." INCOSE International Symposium 8, no. 1 (July 1998): 283–88. http://dx.doi.org/10.1002/j.2334-5837.1998.tb00041.x.

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25

Richardson, George P. "Systems thinkers, systems thinking." System Dynamics Review 10, no. 2-3 (1994): 95–99. http://dx.doi.org/10.1002/sdr.4260100202.

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26

Williamson, Ron C. "Model-based Systems Engineering for Systems of Systems." INSIGHT 12, no. 4 (December 2009): 12–14. http://dx.doi.org/10.1002/inst.200912412.

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27

Roe, Charles L. "A Systems Engineering Process for Systems of Systems." INCOSE International Symposium 9, no. 1 (June 1999): 1214–20. http://dx.doi.org/10.1002/j.2334-5837.1999.tb00294.x.

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28

Autran, Frédéric, Jean-Philippe Auzelle, Denise Cattan, Jean-Luc Garnier, Dominique Luzeaux, Frédérique Mayer, Marc Peyrichon, and Jean-René Ruault. "9.1.2 Coupling component systems towards systems of systems." INCOSE International Symposium 18, no. 1 (June 2008): 996–1010. http://dx.doi.org/10.1002/j.2334-5837.2008.tb00858.x.

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29

Chen, Pin, and Jennie Clothier. "Advancing systems engineering for systems-of-systems challenges." Systems Engineering 6, no. 3 (2003): 170–83. http://dx.doi.org/10.1002/sys.10042.

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30

Seising, Rudolf. "General systems, classical systems, quantum systems and fuzzy systems: an introductory survey." International Journal of General Systems 40, no. 1 (January 2011): 1–9. http://dx.doi.org/10.1080/03081079.2010.505028.

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31

MILEWSKI, Jaroslaw, and Krzysztof BADYDA. "E108 TRI-GENERATION SYSTEMS BASED ON HIGHTEMPERATURE FUEL CELLS(Distributed Energy System-2)." Proceedings of the International Conference on Power Engineering (ICOPE) 2009.1 (2009): _1–275_—_1–279_. http://dx.doi.org/10.1299/jsmeicope.2009.1._1-275_.

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32

Martyshov, M. I., and D. A. Nikitenko. "Предварительная обработка данных системного мониторинга для анализа профиля загрузки высокопроизводительных вычислительных систем." Numerical Methods and Programming (Vychislitel'nye Metody i Programmirovanie), no. 3 (September 14, 2021): 229–37. http://dx.doi.org/10.26089/nummet.v22r314.

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HPC systems are complex in architecture and contain millions of components. To ensure reliable operation and efficient output, functioning of most subsystems should be supervised. This is done on the basis of collected data from various logging and monitoring systems. This means that different data sources are used, and accordingly, data analysis can face multiple issues processing this data. Some of the data subsets can be incorrect due to the malfunctioning of used sensors, monitoring system data aggregation errors, etc. This is why it is crucial to preprocess such monitoring data before analyzing it, taking into the consideration the analysis goals. The aim of this paper is, being based on the MSU HPC Center monitoring data, to propose an approach to data preprocessing of HPC monitoring systems, giving some real life examples of issues that may be faced, and recommendations for further analysis of similar datasets. Высокопроизводительные вычислительные системы сложны по архитектуре и содержат миллионы компонент. Чтобы обеспечить надежную работу и эффективную отдачу, необходимо контролировать работу всех их подсистем. Это делается на основе данных, собранных различными системами журналирования и мониторинга. Это означает, что используются разные источники данных, и, соответственно, анализ данных может столкнуться с множеством проблем, связанных с обработкой этих данных. Некоторые из подмножеств данных могут быть неверными из-за неисправности используемых датчиков, ошибок агрегирования данных системы мониторинга и т.д. Вот почему крайне важно проводить предварительную обработку таких данных мониторинга перед их анализом, принимая во внимание цели анализа. Цель этой работы, описать подход к предварительной обработке данных суперкомпьютерных систем мониторинга на основе опыта работы СКЦ МГУ, привести некоторые реальные примеры проблем, с которыми можно при этом столкнуться, а также рекомендации по дальнейшему анализу подобных наборов данных.

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33

Lévai, Imre. "World Systems Theory, World Systems Analysis, World Systems Perspective." Társadalomkutatás 30, no. 2 (June 2012): 159–68. http://dx.doi.org/10.1556/tarskut.30.2012.2.5.

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34

Yu, Wang. "Systems, the Laws of Systems, and the Systems Method." Chinese Studies in Philosophy 17, no. 1 (October 1985): 3–21. http://dx.doi.org/10.2753/csp1097-146717013.

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35

LUKASIK, STEPHEN J. "Systems, systems of systems, and the education of engineers." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 12, no. 1 (January 1998): 55–60. http://dx.doi.org/10.1017/s0890060498121078.

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The thesis presented here is that the result of engineering is the design, construction, or operation of systems or their subsystems and components and that the teaching of systems must be central to engineering education. It is maintained that current undergraduate engineering curricula do not give the student adequate appreciation of this major intellectual element of their profession. Five proposals for approaches to correct this deficiency are offered: opportunities for clinical practice throughout all the undergraduate years; the use of distributed interactive simulation technology in semester-long projects; courses or course material on the phenomenology and behavior of systems; use of project management tools in engineering clinics; and encouraging engineering faculty to spend some part of their sabbaticals engaged in system design or operation. Issues of implementation are addressed, including the scaling of these ideas to universities that must meet the needs of large numbers of students.

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36

Calida, Behnido Y., Raed M. Jaradat, Sawsan Abutabenjeh, and Charles B. Keating. "Governance in systems of systems: a systems-based model." International Journal of System of Systems Engineering 7, no. 4 (2016): 235. http://dx.doi.org/10.1504/ijsse.2016.080313.

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37

Calida, Behnido Y., Raed M. Jaradat, Sawsan Abutabenjeh, and Charles B. Keating. "Governance in systems of systems: a systems-based model." International Journal of System of Systems Engineering 7, no. 4 (2016): 235. http://dx.doi.org/10.1504/ijsse.2016.10001152.

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38

Carlock, Paul G., John A. Scardina, Steven C. Decker, Robert E. Fenton, and Charles W. Pate. "1 Agency-level Systems Engineering for “Systems of Systems”." INCOSE International Symposium 9, no. 1 (June 1999): 1–7. http://dx.doi.org/10.1002/j.2334-5837.1999.tb00135.x.

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39

Chen, Pin, and Jennie Clothier. "5.6.5 Advancing Systems Engineering for Systems-Of-Systems Challenges." INCOSE International Symposium 12, no. 1 (August 2002): 1177–84. http://dx.doi.org/10.1002/j.2334-5837.2002.tb02588.x.

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40

Gonzalez-Parra, Gilberto, and Abraham J. Arenas. "A Mathematical Model for Social Security Systems with Dynamical Systems." Ingeniería y Ciencia 10, no. 19 (January 2014): 33–53. http://dx.doi.org/10.17230/ingciencia.10.19.2.

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In this paper it is proposed a mathematical approach based ondynamicsystems to study the effect of the increase in the Social Security normalretirement age on the worker and on the dynamics of retiree populations.In order to simplify this initial effort, the proposed model does not includesome economic variables, such as wage growth, earnings or productivity.Here, we employ numerical simulations of the model to investigate the dy-namics of the labor force under different demographic scenarios. Analysisof this type of model with numerical simulations can help government economic planners make optimal strategies to sustain pension systems andforecast future trends of pensioner and worker populations.

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41

Berger, Τ., P. Bort, and D. John. "Verteilte Systeme im Kraftfahrzeug / Distributed Systems in Vehicles." itit 41, no. 5 (May 1999): 7–11. http://dx.doi.org/10.1524/itit.1999.41.5.7.

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42

Zhang, Tianhao, Krishnendu Chakrabarty, and Richard B. Fair. "Integrated hierarchical design of microelectrofluidic systems using SystemC." Microelectronics Journal 33, no. 5-6 (May 2002): 459–70. http://dx.doi.org/10.1016/s0026-2692(01)00157-4.

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43

Fummi, Franco, Mirko Loghi, Giovanni Perbellini, and Massimo Poncino. "SystemC co-simulation for core-based embedded systems." Design Automation for Embedded Systems 11, no. 2-3 (September 2007): 141–66. http://dx.doi.org/10.1007/s10617-007-9006-7.

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44

Damm, Markus, Jan Haase, Christoph Grimm, Fernando Herrera, and Eugenio Villar. "Bridging MoCs in SystemC Specifications of Heterogeneous Systems." EURASIP Journal on Embedded Systems 2008, no. 1 (2008): 738136. http://dx.doi.org/10.1155/2008/738136.

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45

Kaczorek, Tadeusz. "Inverse systems of linear systems." Archives of Electrical Engineering 59, no. 3-4 (December 1, 2010): 203–16. http://dx.doi.org/10.2478/s10171-010-0016-x.

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Inverse systems of linear systemsThe concept of inverse systems for standard and positive linear systems is introduced. Necessary and sufficient conditions for the existence of the positive inverse system for continuous-time and discrete-time linear systems are established. It is shown that: 1) The inverse system of continuous-time linear system is asymptotically stable if and only if the standard system is asymptotically stable. 2) The inverse system of discrete-time linear system is asymptotically stable if and only if the standard system is unstable. 3) The inverse system of continuous-time and discrete-time linear systems are reachable if and only if the standard systems are reachable. The considerations are illustrated by numerical examples.

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46

Zeleny, Milan. "Are Biological Systems Social Systems?" Human Systems Management 10, no. 2 (1991): 79–81. http://dx.doi.org/10.3233/hsm-1991-10201.

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47

Davids, Keith, Paul Glazier, Duarte Ara??jo, and Roger Bartlett. "Movement Systems as Dynamical Systems." Sports Medicine 33, no. 4 (2003): 245–60. http://dx.doi.org/10.2165/00007256-200333040-00001.

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48

Martínez-García, Mireya, and Enrique Hernández-Lemus. "Health Systems as Complex Systems." American Journal of Operations Research 03, no. 01 (2013): 113–26. http://dx.doi.org/10.4236/ajor.2013.31a011.

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49

Luan, Enjie, Hongtao Chen, Yan Zhao, and Liangyuan Hu. "Engineered Systems and Systems Engineering." Journal of Engineering Studies 08, no. 05 (October 1, 2016): 480–90. http://dx.doi.org/10.3724/sp.j.1224.2016.00480.

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50

Yıldırım, Muhammed A., and Marc Vidal. "Systems engineering to systems biology." Molecular Systems Biology 4, no. 1 (January 2008): 185. http://dx.doi.org/10.1038/msb.2008.22.

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