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Journal articles on the topic 'Operating Systems'

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

Author: Grafiati

Published: 4 June 2021

Last updated: 29 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

Finkel, Raphel A. "Operating systems." ACM Computing Surveys 28, no. 1 (March 1996): 201–3. http://dx.doi.org/10.1145/234313.234399.

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3

Chapin, Steve, and Joachim Worringen. "Operating Systems." International Journal of High Performance Computing Applications 15, no. 2 (May 2001): 115–23. http://dx.doi.org/10.1177/109434200101500204.

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4

Kam Wing Ng. "Operating systems." Microprocessors and Microsystems 12, no. 1 (January 1988): 62. http://dx.doi.org/10.1016/0141-9331(88)90041-5.

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5

Malik, Marek, Anthony D. Mercando, and MAREK MALIK. "Operating Systems." Pacing and Clinical Electrophysiology 15, no. 10 (October 1992): 1534–36. http://dx.doi.org/10.1111/j.1540-8159.1992.tb02928.x.

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6

Babu, M. Suresh. "Operating systems." Resonance 7, no. 3 (March 2002): 18–24. http://dx.doi.org/10.1007/bf02896304.

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7

Babu, M. Suresh. "Operating systems." Resonance 7, no. 4 (April 2002): 60–66. http://dx.doi.org/10.1007/bf02836139.

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8

Labinsky, Alexander. "GRAPHICAL TOOLS OF OPERATING SYSTEMS." MONITORING AND EXPERTISE IN SAFETY SYSTEM 2024, no. 2 (June 21, 2024): 37–42. http://dx.doi.org/10.61260/2304-0130-2024-2-37-42.

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The methods of processing multimedia and graphical information in operating systems are studied using the example of MCI, API and GDI interfaces of Windows operating system. The interfaces of GDI and GDI+ graphics devices are examined in detail. The capabilities and features of the OpenGL graphics library, which is commonly used in the Windows operating system, are presented. The principles of operation of the GDI interface are given. Three types of drawing tools supported by the context of the GDI interface are examined in detail: pen, brush and font. The stages of coordination of logical and physical coordinate systems are considered. The OpenGL library graphics elements (bits arrays, polygons, segments, polylines, etc.), as well as basic geometric objects and a set of polyhedra: cube, cone, torus, octahedron, icosahedron, dodecahedron and tetrahedron are considered. As an example of OpenGL library usage, a three-dimensional graphics editor was studied. It works with three-dimensional objects of various types and allows reproduction of an object in two modes (lines and a solid surface), as well as performance of following operations with a graphic object: deformation, rotation, transpositionong along axes, loading and saving on hard drive.

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9

Tripathi, Ananya. "Web Operating Systems." OALib 01, no. 03 (2014): 1–5. http://dx.doi.org/10.4236/oalib.1100451.

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10

Barr, John. "Operating systems puzzle." ACM Inroads 12, no. 3 (September 2021): 44. http://dx.doi.org/10.1145/3479427.

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11

Ramakrishnan, Sub, and Ann-Marie Lancaster. "Operating Systems Projects." ACM SIGCSE Bulletin 25, no. 1 (March 1993): 256–60. http://dx.doi.org/10.1145/169073.169483.

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12

Mullender, Sape J. "Distributed operating systems." ACM Computing Surveys 28, no. 1 (March 1996): 225–27. http://dx.doi.org/10.1145/234313.234407.

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13

O'Gorman, John. "Teaching operating systems." ACM SIGCSE Bulletin 30, no. 2 (June 1998): 61–63. http://dx.doi.org/10.1145/292422.292444.

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14

Matthews, Jeanna N. "Operating systems review." ACM SIGOPS Operating Systems Review 40, no. 1 (January 2006): 1–2. http://dx.doi.org/10.1145/1113361.1113362.

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15

Matthews, Jeanna N. "Operating systems review." ACM SIGOPS Operating Systems Review 41, no. 1 (January 2007): 1–2. http://dx.doi.org/10.1145/1228291.1228292.

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16

Polze, Andreas, and Dave Probert. "Teaching operating systems." ACM SIGCSE Bulletin 38, no. 1 (March 31, 2006): 298–302. http://dx.doi.org/10.1145/1124706.1121434.

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17

Milojicic, D. "Applied operating systems." IEEE Concurrency 8, no. 4 (October 2000): 53–54. http://dx.doi.org/10.1109/mcc.2000.895106.

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18

Granroth, Pekka. "Teaching operating systems." Education and Computing 6, no. 1-2 (July 1990): 173–76. http://dx.doi.org/10.1016/s0167-9287(05)80066-4.

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19

Mullender, Sape J. "Distributed operating systems." Computer Standards & Interfaces 6, no. 1 (January 1987): 37–44. http://dx.doi.org/10.1016/0920-5489(87)90043-2.

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20

Howatt, James. "Operating systems projects." ACM SIGCSE Bulletin 34, no. 4 (December 2002): 109–11. http://dx.doi.org/10.1145/820127.820179.

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21

Tanenbaum, Andrew S., and Robbert Van Renesse. "Distributed operating systems." ACM Computing Surveys 17, no. 4 (December 10, 1985): 419–70. http://dx.doi.org/10.1145/6041.6074.

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22

Jones, Peter, and Andrew Lockwood. "Hospitality operating systems." International Journal of Contemporary Hospitality Management 7, no. 5 (September 1995): 17–20. http://dx.doi.org/10.1108/09596119510090690.

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23

Baker, Sunny. "WHITHER OPERATING SYSTEMS?" Journal of Business Strategy 21, no. 6 (June 2000): 22–27. http://dx.doi.org/10.1108/eb040126.

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24

Kabachinski, Jeff. "Back to Basics: Understanding Operating Systems and Network Operating Systems." Biomedical Instrumentation & Technology 44, no. 5 (September 1, 2010): 405–8. http://dx.doi.org/10.2345/0899-8205-44.5.405.

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25

Gong, Lu, Zhanqiang Li, Tao Dong, and Youkai Sun. "Rethink Scalable M:N Threading on Modern Operating Systems." Journal of Computers 11, no. 3 (May 2016): 176–88. http://dx.doi.org/10.17706/jcp.11.3.176-188.

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26

S, Sangeetha, and Priya N. "The Impact of Mobile Configurations on Operating Systems." Journal of Advanced Research in Dynamical and Control Systems 11, no. 0009-SPECIAL ISSUE (September 25, 2019): 1059–65. http://dx.doi.org/10.5373/jardcs/v11/20192672.

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27

Youssef, Joseph Rahme, Gregory Zacharewicz, David Chen, and François Vernadat. "EOS: enterprise operating systems." International Journal of Production Research 56, no. 8 (October 18, 2017): 2714–32. http://dx.doi.org/10.1080/00207543.2017.1378957.

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28

Murugan, S., and K. Kuppusamy. "Malware And Operating Systems." i-manager's Journal on Electronics Engineering 1, no. 2 (February 15, 2011): 1–4. http://dx.doi.org/10.26634/jele.1.2.1365.

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29

Schlesinger, J. I. "Operating Systems [Book Reviews]." IEEE Software 14, no. 3 (May 1997): 123. http://dx.doi.org/10.1109/ms.1997.589253.

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30

Gerlits, E. A., V. V. Kuliamin, A. V. Maksimov, A. K. Petrenko, A. V. Khoroshilov, and A. V. Tsyvarev. "Testing of Operating Systems." Proceedings of the Institute for System Programming of RAS 26, no. 1 (2014): 73–108. http://dx.doi.org/10.15514/ispras-2014-26(1)-3.

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31

Goh, Angela. "An operating systems project." ACM SIGCSE Bulletin 24, no. 3 (September 1992): 29–34. http://dx.doi.org/10.1145/142040.142062.

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32

Milham, Laura M., James A. Pharmer, and Audrey W. Fok. "Adaptive Instructor Operating Systems." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 59, no. 1 (September 2015): 1801–5. http://dx.doi.org/10.1177/1541931215591389.

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33

Milojicic, Dejan, and Timothy Roscoe. "Outlook on Operating Systems." Computer 49, no. 1 (January 2016): 43–51. http://dx.doi.org/10.1109/mc.2016.19.

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34

Dear, Guy de Lisle, Robert R. Panten, and David A. Lubarsky. "Operating room information systems." Seminars in Anesthesia, Perioperative Medicine and Pain 18, no. 4 (December 1999): 322–33. http://dx.doi.org/10.1016/s0277-0326(99)80028-2.

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35

Aslanian, R. "Real-time operating systems." Computer Standards & Interfaces 6, no. 1 (January 1987): 45–49. http://dx.doi.org/10.1016/0920-5489(87)90044-4.

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36

Stankovic, John A., and R. Rajkumar. "Real-Time Operating Systems." Real-Time Systems 28, no. 2/3 (November 2004): 237–53. http://dx.doi.org/10.1023/b:time.0000045319.20260.73.

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37

Wentzlaff, David, and Anant Agarwal. "Factored operating systems (fos)." ACM SIGOPS Operating Systems Review 43, no. 2 (April 21, 2009): 76–85. http://dx.doi.org/10.1145/1531793.1531805.

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38

Yun-Lin, Su. "On teaching operating systems." ACM SIGCSE Bulletin 21, no. 3 (September 1989): 11–14. http://dx.doi.org/10.1145/70593.70596.

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39

Howarth, DJ. "Principles of operating systems." Information and Software Technology 31, no. 3 (April 1989): 164. http://dx.doi.org/10.1016/0950-5849(89)90108-0.

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40

Connell, Gerald F. "Key Operating Strategies for Chlorine Disinfection Operating Systems." Proceedings of the Water Environment Federation 2006, no. 5 (January 1, 2006): 6329–34. http://dx.doi.org/10.2175/193864706783761185.

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41

Ramousse, Julien, and Christophe Goupil. "Chart for Thermoelectric Systems Operation Based on a Ternary Diagram for Bithermal Systems." Entropy 20, no. 9 (September 3, 2018): 666. http://dx.doi.org/10.3390/e20090666.

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Thermoelectric system’s operation needs careful attention to ensure optimal power conversion depending on the application aims. As a ternary diagram of bithermal systems allows a synthetic graphical analysis of the performance attainable by any work-heat conversion system, thermoelectric systems operation is plotted as a parametric curve function of the operating conditions (electric current and reservoirs’ temperature), based on the standard model of Ioffe. The threshold of each operating mode (heat engine, heat pump, thermal dissipation, and forced thermal transfer), along with the optimal efficiencies and powers of the heat pump and heat engine modes, are characterized graphically and analytically as a function of the material properties and the operating conditions. The sensibility of the performance aims (maximum efficiency vs. maximum power) with the operating conditions is, thus, highlighted. In addition, the specific contributions of each phenomenon involved in the semiconductor (reversible Seebeck effect, irreversible heat leakage by conduction and irreversible thermal dissipation by Joule effect) are discussed in terms of entropy generation. Finally, the impact of the exo-irreversibilities on the performance is analyzed by taking the external thermal resistances into account.

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42

Ahmadinia, Ali. "Concepts of Operating Systems for Reconfigurable Systems." Recent Patents on Electrical Engineeringe 1, no. 2 (June 1, 2008): 121–35. http://dx.doi.org/10.2174/1874476110801020121.

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43

Yung-Hsiang Lu, L. Benini, and G. De Micheli. "Power-aware operating systems for interactive systems." IEEE Transactions on Very Large Scale Integration (VLSI) Systems 10, no. 2 (April 2002): 119–34. http://dx.doi.org/10.1109/92.994989.

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44

Kim, Mincheol, Taeho Choi, Minhwa Kim, Sungsoo Han, and Jayong Koo. "Optimal operation efficiency and control of water pumps in multiple water reservoir system: case study in Korea." Water Supply 15, no. 1 (August 19, 2014): 59–65. http://dx.doi.org/10.2166/ws.2014.079.

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Pumping regimes for water distribution systems have been established to reduce pump operation costs. Optimization of water reservoir networks has been studied extensively for operating pumps efficiently. According to research, optimization reduces pump operation costs by approximately 10–20%. However, comparing economic benefits per country would be too complex because the effects of optimization differ depending on the power cost estimation system of each country and the existing operations. This study presents an optimization algorithm to minimize the operating costs of an entire system via the application of dynamic programming. Case studies were conducted to apply the algorithm to real values in four scenarios. By setting cost minimization as an objective, an optimum water pump operation plan was derived that encompasses operating conditions, variations in water demand, and energy costs. Results showed that operating a standby pump in an existing system can increase the system's efficiency. In addition, even if hourly water consumption remains constant, each case requires its own operating method, because each case has different operational costs. By considering various conditions such as those mentioned in this study, future pump operation schedules can be optimized and stabilized to maintain economic water supply.

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45

Nazaralizadeh, Solmaz, Paramarshi Banerjee, Anurag K. Srivastava, and Parviz Famouri. "Battery Energy Storage Systems: A Review of Energy Management Systems and Health Metrics." Energies 17, no. 5 (March 6, 2024): 1250. http://dx.doi.org/10.3390/en17051250.

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With increasing concerns about climate change, there is a transition from high-carbon-emitting fuels to green energy resources in various applications including household, commercial, transportation, and electric grid applications. Even though renewable energy resources are receiving traction for being carbon-neutral, their availability is intermittent. To address this issue to achieve extensive application, the integration of energy storage systems in conjunction with these resources is becoming a recommended practice. Additionally, in the transportation sector, the increased demand for EVs requires the development of energy storage systems that can deliver energy for rigorous driving cycles, with lithium-ion-based batteries emerging as the superior choice for energy storage due to their high power and energy densities, length of their life cycle, low self-discharge rates, and reasonable cost. As a result, battery energy storage systems (BESSs) are becoming a primary energy storage system. The high-performance demand on these BESS can have severe negative effects on their internal operations such as heating and catching on fire when operating in overcharge or undercharge states. Reduced efficiency and poor charge storage result in the battery operating at higher temperatures. To mitigate early battery degradation, battery management systems (BMSs) have been devised to enhance battery life and ensure normal operation under safe operating conditions. Some BMSs are capable of determining precise state estimations to ensure safe battery operation and reduce hazards. Precise estimation of battery health is computed by evaluating several metrics and is a central factor in effective battery management systems. In this scenario, the accurate estimation of the health indicators (HIs) of the battery becomes even more important within the framework of a BMS. This paper provides a comprehensive review and discussion of battery management systems and different health indicators for BESSs, with suitable classification based on key characteristics.

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46

Malcev, S. V., B. P. Kazkov, and M. A. Semin. "EFFICIENCY UPGRADING TECHNIQUES FOR COMPLEX MINE VENTILATION SYSTEMS." News of the Tula state university. Sciences of Earth 4, no. 1 (2019): 283–91. http://dx.doi.org/10.46689/2218-5194-2019-4-1-283-291.

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The exhaustion of readily available mineral reserves, which were in favorable geological conditions, drives the need to expand the areas of mined deposits and the transition to deep-seated horizons to maintain or increase production capacity. With an increase in the developed areas and the depth of mining operations, the length of the networks of mine workings increases, the working zones move to the borders of the mine fields. In the conditions of the majority of existing mines, the main fan units (MFU) are working at the limit. It leads to necessity in designing and installing new MFUs into operation. In modern conditions, the determination of joint operation modes for several main fan units is carried out empirically without an estimate of energy consumption. When operating several main fan units, it is important to consider their mutual influence and set up operating modes in such a way that each of them works for its part of the ventilation network as efficiently as possible...

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47

Zismer, Daniel K. "Connecting Operations, Operating Economics, and Finance for Integrated Health Systems." Journal of Healthcare Management 58, no. 5 (September 2013): 314–19. http://dx.doi.org/10.1097/00115514-201309000-00004.

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48

Fouial, Abdelouahid, Irene Fernández García, Cristiana Bragalli, Armando Brath, Nicola Lamaddalena, and Juan Antonio Rodríguez Diaz. "Optimal operation of pressurised irrigation distribution systems operating by gravity." Agricultural Water Management 184 (April 2017): 77–85. http://dx.doi.org/10.1016/j.agwat.2017.01.010.

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49

Ashrafi, Seyed Mohammad, and Alireza Borhani Dariane. "Coupled Operating Rules for Optimal Operation of Multi-Reservoir Systems." Water Resources Management 31, no. 14 (June 27, 2017): 4505–20. http://dx.doi.org/10.1007/s11269-017-1762-y.

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50

Conder, Robert L. "Computer hardware and operating systems." Brain Injury 7, no. 1 (January 1993): 89–92. http://dx.doi.org/10.3109/02699059309008161.

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