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Journal articles on the topic 'Computer systems'

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

Author: Grafiati

Published: 4 June 2021

Last updated: 29 July 2024

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1

Ferres-López, Enrique, Eugenio Roanes-Lozano, Angélica Martínez-Zarzuelo, and Fernando Sánchez. "One-sided differentiability: a challenge for computer algebra systems." Electronic Research Archive 31, no. 3 (2023): 1737–68. http://dx.doi.org/10.3934/era.2023090.

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<abstract><p>Computer Algebra Systems (CASs) are extremely powerful and widely used digital tools. Focusing on differentiation, CASs include a command that computes the derivative of functions in one variable (and also the partial derivative of functions in several variables). We will focus in this article on real-valued functions of one real variable. Since CASs usually compute the derivative of real-valued functions as a whole, the value of the computed derivative at points where the left derivative and the right derivative are different (that we will call conflicting points) should be something like "undefined", although this isn't always the case: the output could strongly differ depending on the chosen CAS. We have analysed and compared in this article how some well-known CASs behave when addressing differentiation at the conflicting points of five different functions chosen by the authors. Finally, the ability for calculating one-sided limits of CASs allows to directly compute the result in these cumbersome cases using the formal definition of one-sided derivative, which we have also analysed and compared for the selected CASs. Regarding teaching, this is an important issue, as it is a topic of Secondary Education and nowadays the use of CASs as an auxiliary digital tool for teaching mathematics is very common.</p></abstract>

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2

Karatza, Helen D. "Computer systems." Journal of Systems and Software 71, no. 3 (May 2004): 199–200. http://dx.doi.org/10.1016/s0164-1212(03)00005-0.

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3

Chu, Dominique, Mikhail Prokopenko, and J. Christian J. Ray. "Computation by natural systems." Interface Focus 8, no. 6 (October 19, 2018): 20180058. http://dx.doi.org/10.1098/rsfs.2018.0058.

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Computation is a useful concept far beyond the disciplinary boundaries of computer science. Perhaps the most important class of natural computers can be found in biological systems that perform computation on multiple levels. From molecular and cellular information processing networks to ecologies, economies and brains, life computes. Despite ubiquitous agreement on this fact going back as far as von Neumann automata and McCulloch–Pitts neural nets, we so far lack principles to understand rigorously how computation is done in living, or active, matter. What is the ultimate nature of natural computation that has evolved, and how can we use these principles to engineer intelligent technologies and biological tissues?

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4

Sorokatyi, R., A. Dykha, O. Pasichnyk, and T. Skrypnyk. "Computer information technology modeling tribological systems." Problems of tribology 25, no. 2 (June 5, 2020): 59–66. http://dx.doi.org/10.31891/2079-1372-2020-96-2-59-66.

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5

Brandao, Pedro Ramos. "Computer Forensics in Cloud Computing Systems." Budapest International Research in Exact Sciences (BirEx) Journal 1, no. 1 (January 28, 2019): 71–86. http://dx.doi.org/10.33258/birex.v1i1.141.

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The challenges on traditional Computer Forensic mythology in facing with the growing adoption of Cloud Computing services and models by corporations and organizations. We analyse the results of recent research in analysis of computers’ physical memory, new methodologies and tools, and how these technologies can be applied to computer forensics in this specific context.

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6

Matsuzaka, Yasunari, and Ryu Yashiro. "AI-Based Computer Vision Techniques and Expert Systems." AI 4, no. 1 (February 23, 2023): 289–302. http://dx.doi.org/10.3390/ai4010013.

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Computer vision is a branch of computer science that studies how computers can ‘see’. It is a field that provides significant value for advancements in academia and artificial intelligence by processing images captured with a camera. In other words, the purpose of computer vision is to impart computers with the functions of human eyes and realise ‘vision’ among computers. Deep learning is a method of realising computer vision using image recognition and object detection technologies. Since its emergence, computer vision has evolved rapidly with the development of deep learning and has significantly improved image recognition accuracy. Moreover, an expert system can imitate and reproduce the flow of reasoning and decision making executed in human experts’ brains to derive optimal solutions. Machine learning, including deep learning, has made it possible to ‘acquire the tacit knowledge of experts’, which was not previously achievable with conventional expert systems. Machine learning ‘systematises tacit knowledge’ based on big data and measures phenomena from multiple angles and in large quantities. In this review, we discuss some knowledge-based computer vision techniques that employ deep learning.

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7

Mytkowicz, Todd, Amer Diwan, and Elizabeth Bradley. "Computer systems are dynamical systems." Chaos: An Interdisciplinary Journal of Nonlinear Science 19, no. 3 (September 2009): 033124. http://dx.doi.org/10.1063/1.3187791.

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8

Yu, Bin. "Computer-Mediated Communication Systems." tripleC: Communication, Capitalism & Critique. Open Access Journal for a Global Sustainable Information Society 9, no. 2 (October 30, 2011): 531–34. http://dx.doi.org/10.31269/triplec.v9i2.309.

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The essence of communication is to exchange and share information. Computers provide a new medium to human communication. CMC system, composed of human and computers, absorbs and then extends the advantages of all former formats of communication, embracing the instant interaction of oral communication, the abstract logics of printing dissemination, and the vivid images of movie and television. It also creates a series of new communication formats, such as Hyper Text, Multimedia etc. which are the information organizing methods, and cross-space message delivering patterns. Benefiting from the continuous development of technique and mechanism, the computer-mediated communication makes the dream of transmitting information cross space and time become true, which will definitely have a great impact on our social lives.

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9

Yu, Bin. "Computer-Mediated Communication Systems." tripleC: Communication, Capitalism & Critique. Open Access Journal for a Global Sustainable Information Society 9, no. 2 (October 30, 2011): 531–34. http://dx.doi.org/10.31269/vol9iss2pp531-534.

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The essence of communication is to exchange and share information. Computers provide a new medium to human communication. CMC system, composed of human and computers, absorbs and then extends the advantages of all former formats of communication, embracing the instant interaction of oral communication, the abstract logics of printing dissemination, and the vivid images of movie and television. It also creates a series of new communication formats, such as Hyper Text, Multimedia etc. which are the information organizing methods, and cross-space message delivering patterns. Benefiting from the continuous development of technique and mechanism, the computer-mediated communication makes the dream of transmitting information cross space and time become true, which will definitely have a great impact on our social lives.

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10

BARBU, Ionuț-Daniel. "Computer Systems Vulnerabilities." International Journal of Information Security and Cybercrime 1, no. 1 (June 21, 2012): 55–65. http://dx.doi.org/10.19107/ijisc.2012.01.06.

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11

Pappu, S. K. "Simulating computer systems." IEEE Potentials 16, no. 1 (1997): 16–18. http://dx.doi.org/10.1109/45.565607.

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12

Brace, Barry D. "Computer imaging systems." Journal of the American Dental Association 118, no. 6 (June 1989): 682. http://dx.doi.org/10.14219/jada.archive.1989.0159.

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13

L, A. "Computer Systems Development." Journal of Information Technology 6, no. 2 (June 1991): 117. http://dx.doi.org/10.1057/jit.1991.20.

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14

Page, W. "Computer algebra systems." Computers & Mathematics with Applications 19, no. 6 (1990): 51–69. http://dx.doi.org/10.1016/0898-1221(90)90047-n.

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15

Yamaguchi, Takahira. "Future Computer Systems." Advanced Robotics 23, no. 11 (January 2009): 1475–79. http://dx.doi.org/10.1163/016918609x12469666583950.

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16

Schiele, Bernt, and Gerhard Sagerer. "Computer vision systems." Machine Vision and Applications 14, no. 1 (April 1, 2003): 3–4. http://dx.doi.org/10.1007/s00138-002-0113-y.

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17

Chance, Jim. "Simulating computer systems." Microprocessors and Microsystems 12, no. 4 (May 1988): 238. http://dx.doi.org/10.1016/0141-9331(88)90176-7.

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18

Jesshope, Chris. "Distributed computer systems." Microprocessors and Microsystems 14, no. 7 (September 1990): 483–84. http://dx.doi.org/10.1016/0141-9331(90)90029-u.

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19

Sanyal, S. "Computer Arithmetic Systems." Computer Journal 38, no. 1 (January 1, 1995): 79. http://dx.doi.org/10.1093/comjnl/38.1.79.

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20

Wozniak, Michal, and Elif Derya Übeyli. "Computer recognition systems." Expert Systems 27, no. 1 (February 2010): 3–5. http://dx.doi.org/10.1111/j.1468-0394.2009.00536.x.

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21

Matuszczyk, Paweł. "SYSTEMS COMPUTER MANAGEMENTS." sj-economics scientific journal 14, no. 3 (October 30, 2014): 46–60. http://dx.doi.org/10.58246/sjeconomics.v14i3.419.

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The present article has on the aim the performance of essential information from the range of applying computer systems in the management the enterprise. Building, possibilities and advantages what were described in the study they result from the implementation of computer systems. Firms which want at present to be competitive they have well to possess the complex computer infrastructure what guarantees them large functionality and elasticity in the contact with business customers.

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22

Kochen, Manfred. "Computer message systems." Information Processing & Management 21, no. 4 (January 1985): 381. http://dx.doi.org/10.1016/0306-4573(85)90082-2.

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23

POPA, Vasile, and Luminita POPA. "INTEGRATED COMPUTER SYSTEMS DEDICATED FOR PRODUCTS LIFECYCLE." SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE 18, no. 2 (June 24, 2016): 765–74. http://dx.doi.org/10.19062/2247-3173.2016.18.2.39.

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24

Peng, Y., L. Zheng, and B. S. Ruan. "Support Engineering Computer-Aided Design Systems and BIM Template." Advanced Materials Research 971-973 (June 2014): 1906–11. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.1906.

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In computer-aided design meteoric rise in the field of architectural design , computers have become an important tool for architects work. The use of computers has changed a lot of work methods. Updated key architectural design methods, using new thinking tools by updating to assist architectural design ideas that can help us find new ways to architectural creation. We know that there is a convenient three-dimensional computer modeling, easy to modify and intuitive physical display. The concept of the future whether to play a vital role in the concept of the method, and eventually will change and affect the building design and construction. By using computer-aided design and design examples to make computer-aided design method building construction design process , the use of further explanation.

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25

Rachappa, Halkar. "Studying the Concept of Quantum Computing and Analysis of Its Components, Benefits and Challenges." International Journal on Recent and Innovation Trends in Computing and Communication 8, no. 11 (November 30, 2020): 17–22. http://dx.doi.org/10.17762/ijritcc.v8i11.5517.

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This paper will discuss about the use of quantum computing in the computer engineering field to make computers reliable and fast to perform various typical computations. It is the process of using concept of quantum theory in computing algorithms and other computations and calculations along with the use of computer systems. The computer system always understands the binary language of bits and bytes or in other words we can say that everything which is computed using computers should be first converted into stream of 0’s and 1’s so that computer can understand and then perform the calculations. This will restrict the scope of certain calculations for the computers. Scientists and engineers have come together to implement the quantum computing along with computers and due to this they are able to make calculations which were not possible before its introduction. The quantum theory uses bits and qubits of quantum theory and allows them to be available in more than one state and make possible various typical calculations easy and fast. The paper will explain various types of quantum computing techniques and how they are useful for the organisations. The benefits and challenges of the quantum computing in the field of computer systems will also be discussed.

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26

Marcoulides, George A. "The Relationship between Computer Anxiety and Computer Achievement." Journal of Educational Computing Research 4, no. 2 (May 1988): 151–58. http://dx.doi.org/10.2190/j5n4-24hk-567v-at6e.

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Computers are rapidly being introduced into virtually every work setting. The ability to use computers, therefore, has become a crucial component in the educational process. Computer anxiety, however, may influence student abilities to master computer skills and consequently affect the degree to which computers can effectively be utilized. This study investigates the possible effects of computer anxiety on student achievement in computer skills. The results suggest that computer anxiety is an important predictor of computer achievement. Educational systems that seek to prepare students in the field of computer applications must, therefore, become particularly concerned with creating less stressful environments.

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27

Buriboev, Abror, and Azamjon Muminov. "Computer State Evaluation Using Adaptive Neuro-Fuzzy Inference Systems." Sensors 22, no. 23 (December 5, 2022): 9502. http://dx.doi.org/10.3390/s22239502.

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Several crucial system design and deployment decisions, including workload management, sizing, capacity planning, and dynamic rule generation in dynamic systems such as computers, depend on predictive analysis of resource consumption. An analysis of the computer components’ utilizations and their workloads is the best way to assess the performance of the computer’s state. Especially, analyzing the particular or whole influence of components on another component gives more reliable information about the state of computer systems. There are many evaluation techniques proposed by researchers. The bulk of them have complicated metrics and parameters such as utilization, time, throughput, latency, delay, speed, frequency, and the percentage which are difficult to understand and use in the assessing process. According to these, we proposed a simplified evaluation method using components’ utilization in percentage scale and its linguistic values. The use of the adaptive neuro-fuzzy inference system (ANFIS) model and fuzzy set theory offers fantastic prospects to realize use impact analyses. The purpose of the study is to examine the usage impact of memory, cache, storage, and bus on CPU performance using the Sugeno type and Mamdani type ANFIS models to determine the state of the computer system. The suggested method is founded on keeping an eye on how computer parts behave. The developed method can be applied for all kinds of computing system, such as personal computers, mainframes, and supercomputers by considering that the inference engine of the proposed ANFIS model requires only its own behavior data of computers’ components and the number of inputs can be enriched according to the type of computer, for instance, in cloud computers’ case the added number of clients and network quality can be used as the input parameters. The models present linguistic and quantity results which are convenient to understand performance issues regarding specific bottlenecks and determining the relationship of components.

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28

Yasin, Mahmoud M., and Ronald F. Green. "Global Information Systems: A Joint Venture between Business and Education." Journal of Information Technology 6, no. 2 (June 1991): 80–85. http://dx.doi.org/10.1177/026839629100600204.

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The expanding role of computers and information processing in today's global business environment makes it imperative that business students receive the appropriate computer education. This article evaluates the role of business schools in preparing students to meet the challenges of the global information age. Business and academic perspectives on computers and information processing and their influence on computer education in the business school are presented. The authors conclude that the general lack of enforceable standards in computer business education is a global concern, affecting businesses, educational institutions, and computer hardware and software vendors alike. Recommendations for the globalization of computer education in business schools are provided.

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29

Majumder, D. Dutta. "Computer Vision and Knowledge Based Computer Systems." IETE Journal of Research 34, no. 3 (May 1988): 230–45. http://dx.doi.org/10.1080/03772063.1988.11436734.

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30

Kovalenko, O. Ye, and K. V. Kuzniuk. "Computer network monitoring systems." Mathematical machines and systems 1 (2023): 50–59. http://dx.doi.org/10.34121/1028-9763-2023-1-50-59.

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Monitoring tools are an important component of network infrastructure and provide automation of network administration processes. The effectiveness of using a monitoring system is a spe-cific indicator of the computer network quality and it depends on the specified settings and sce-narios of its use. The main characteristics and parameters that should be investigated and taken into account when deploying a computer network monitoring system are network scalability, the anticipation of updating the existing system after the deployment, the required level of net-work monitoring complexity, and service functionality. Network management and monitoring tools should include the following key features: detailed analytics, compatibility, simplified overview mode, notifications, and account and interface settings. Detailed analytics and reports are the foundation of network monitoring. The chosen tool should evaluate network perfor-mance by processing parameters of network speed and latency. Compatibility allows you to in-teract with various components of the IT infrastructure. A wide range of compatibility provides a greater variety of characteristics of elements and greater adaptability of the service to the real conditions of a particular enterprise. Alerts from the monitoring system must be instantaneous and sent whenever a threshold value is exceeded or a device is disabled. Monitoring systems allow you to edit the type and severity level of an alert, as well as create monitoring categories and templates. Accounts are an important aspect, particularly for remote work. The user inter-face is important for organizing the process of working with a computer network monitoring system from the point of view of efficiency. A well-organized interface speeds up the interac-tion of an administrator or an operator with information about the current state of the system. An important characteristic of the interface is the adaptability of display on different types of devices: smartphones, tablets, computers, etc.

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31

R, Pushpakumar, Karun Sanjaya, S. Rathika, Ahmed Hussein Alawadi, Khamdamova Makhzuna, S. Venkatesh, and B. Rajalakshmi. "Human-Computer Interaction: Enhancing User Experience in Interactive Systems." E3S Web of Conferences 399 (2023): 04037. http://dx.doi.org/10.1051/e3sconf/202339904037.

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Enhancing user experience (UX) in interactive systems requires effective human-computer interaction (HCI). The relationship between people and computers has grown in significance as technology progresses, having an impact on many areas of our life. The main ideas and tactics used in HCI to enhance the user experience in interactive systems are examined in this abstract. Understanding the capabilities and constraints of both humans and computers forms the basis of HCI. HCI researchers and designers may develop interactive systems that complement users' mental models and cognitive processes by researching human behavior, cognition, and psychology. Additionally, taking into account the features of the computer system, such as its responsiveness, processing capacity, and interface design, enables the development of systems that are more user-friendly and effective. As a result, the discipline of human-computer interaction works to improve the user experience in interactive systems. Researchers and designers in the field of human-computer interaction (HCI) can produce interactive systems that are simple, effective, entertaining, and satisfying for users by comprehending human capabilities, applying user-centered design principles, utilizing interactive techniques and interfaces, integrating multimodal interfaces, and embracing emerging technologies. The continued development of HCI will continue to influence and enhance how people use computers, enhancing user experiences and creating new opportunities for interactive systems in the future.

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32

Hartigan, Rosemary. "Systems & Computer Technology." Proceedings of the International Association for Business and Society 7 (1996): 1271–72. http://dx.doi.org/10.5840/iabsproc19967121.

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33

Hollocks, Brian, and J. C. Higgins. "Computer-Based Planning Systems." Journal of the Operational Research Society 37, no. 6 (June 1986): 650. http://dx.doi.org/10.2307/2582597.

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34

Volontyr, Lyudmila, and Oksana Zelinska. "COMPUTER SYSTEMS DESIGN MANAGEMENT." ENGINEERING, ENERGY, TRANSPORT AIC, no. 3(106) (November 29, 2019): 118–23. http://dx.doi.org/10.37128/2520-6168-2019-3-15.

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Solving design problems involves the application of a systematic approach to managing computer systems, requires a separation of the design process and construction of the object with the establishment of real terms for each task, that is, the division of the general problem into elementary tasks and instructions for their implementation to individual specialists. The article deals with the rational structure of computer systems design management, which allows to increase the productivity of specialists with the existing contradiction between the established term of technological control implementation and the quality of project materials, taking into account the nature of work in the changes of internal and external conditions. The purpose of management of the design system is to maintain a rational functioning while performing the tasks with high performance and minimal costs. The systematic approach to design management establishes the composition of the links, defines the hierarchy, external and internal links, which are the basis for building a rational structure of the design management system. The design tasks have been identified and the computer system design management strategy has been identified. A rationally organized design management system allows to develop project materials at a high scientific and technical level with minimal refinements of TU during its implementation.

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35

Torres Soler, Luis Carlos. "Creativity in computer systems." Ingeniería e Investigación 23, no. 2 (January 1, 2003): 25–30. http://dx.doi.org/10.15446/ing.investig.v23n2.14574.

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Creativity is a feature that actually belongs to the human condition. Its implementation on an artificial system requires so many things that even we do not know them all. Any way some of those things are clearly a must have in a creative system, like an advanced perception system, an empiric based knowledge and a dynamic process for solving real life problems.

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36

Weiland, William J., Wayne W. Zachary, and James M. Stokes. "Personal Wearable Computer Systems." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 6 (July 2000): 712–15. http://dx.doi.org/10.1177/154193120004400646.

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37

Ma, K. "Review: Computer Systems Architecture." Computer Bulletin 46, no. 5 (September 1, 2004): 31. http://dx.doi.org/10.1093/combul/46.5.31-a.

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38

Monnickendam, Menachem. "Computer Systems that Work." Journal of Social Service Research 26, no. 2 (May 9, 2000): 71–94. http://dx.doi.org/10.1300/j079v26n02_04.

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39

Uht, A. K., Jien-Chung Lo, Ying Sun, J. G. Daly, and J. Kowalski. "Building real computer systems." IEEE Micro 20, no. 3 (2000): 48–56. http://dx.doi.org/10.1109/40.846309.

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40

EVANS, C. D. "Computer systems in dysmorphology." Clinical Dysmorphology 4, no. 3 (July 1995): 185???201. http://dx.doi.org/10.1097/00019605-199507000-00001.

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41

Vuletić, Dejan V. "Attacks on computer systems." Vojnotehnicki glasnik 60, no. 1 (2012): 235–49. http://dx.doi.org/10.5937/vojtehg1201235v.

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42

Notkin, David, Andrew P. Black, Edward D. Lazowska, Henry M. Levy, Jan Sanislo, and John Zahorjan. "Interconnecting heterogeneous computer systems." Communications of the ACM 31, no. 3 (March 1988): 258–73. http://dx.doi.org/10.1145/42392.42396.

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43

Dannenberg, Roger B. "Intelligent computer accompaniment systems." Journal of the Acoustical Society of America 106, no. 4 (October 1999): 2161. http://dx.doi.org/10.1121/1.427190.

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44

Tribble, Dennis A., and Ralph A. Korpman. "Interfaces between computer systems." American Journal of Health-System Pharmacy 52, no. 5 (March 1, 1995): 524–28. http://dx.doi.org/10.1093/ajhp/52.5.524.

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45

Hollocks, Brian. "Computer-Based Planning Systems." Journal of the Operational Research Society 37, no. 6 (June 1986): 650. http://dx.doi.org/10.1057/jors.1986.112.

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46

Minimair, Manfred. "Collaborative computer algebra systems." ACM Communications in Computer Algebra 49, no. 2 (August 14, 2015): 56–57. http://dx.doi.org/10.1145/2815111.2815136.

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47

Kogalovsky, M. R. "Metadata in computer systems." Programming and Computer Software 39, no. 4 (July 2013): 182–93. http://dx.doi.org/10.1134/s0361768813040038.

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48

Friedman, Batya, and Helen Nissenbaum. "Bias in computer systems." ACM Transactions on Information Systems 14, no. 3 (July 1996): 330–47. http://dx.doi.org/10.1145/230538.230561.

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49

Fish. "Keeping computer systems safe." In Practice 31, no. 3 (March 2009): 136–39. http://dx.doi.org/10.1136/inpract.31.3.136.

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50

Payne, Thomas H. "Computer Decision Support Systems." Chest 118, no. 2 (August 2000): 47S—52S. http://dx.doi.org/10.1378/chest.118.2_suppl.47s.

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