Relevant bibliographies by topics / Expert systems (computer science)

Academic literature on the topic 'Expert systems (computer science)'

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Published: 4 June 2021
Last updated: 30 July 2024

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Journal articles on the topic "Expert systems (computer science)"

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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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Cooper, Philip. "Expert systems in management science." Future Generation Computer Systems 2, no. 4 (December 1986): 217–23. http://dx.doi.org/10.1016/0167-739x(86)90021-x.

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Jones, R. P. "Expert systems." International Review of Law, Computers & Technology 2, no. 1 (January 1986): 142–44. http://dx.doi.org/10.1080/13600869.1986.9966241.

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Miller, CDF. "Expert systems." Data Processing 27, no. 6 (July 1985): 49. http://dx.doi.org/10.1016/0011-684x(85)90281-3.

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Upchurch, E. T., K. S. Raman, and K. Ranai. "Designing expert systems for modeling complex computer systems." ISA Transactions 28, no. 1 (January 1989): 27–29. http://dx.doi.org/10.1016/0019-0578(89)90053-0.

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El-Najdawi, M. K., and Anthony C. Stylianou. "Expert support systems." Communications of the ACM 36, no. 12 (December 1993): 55. http://dx.doi.org/10.1145/163298.163306.

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Gallant, Stephen I. "Connectionist expert systems." Communications of the ACM 31, no. 2 (February 1988): 152–69. http://dx.doi.org/10.1145/42372.42377.

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Ruttkay, Z. "Expert systems in computer-aided design." Computer-Aided Design 21, no. 9 (November 1989): 596. http://dx.doi.org/10.1016/0010-4485(89)90022-5.

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Lirov, Yuval. "Computer-aided software engineering of expert systems." Expert Systems with Applications 2, no. 4 (January 1991): 333–43. http://dx.doi.org/10.1016/0957-4174(91)90039-h.

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Grindley, Kit. "Applying expert principles to computer systems development." Data Processing 28, no. 1 (January 1986): 10–14. http://dx.doi.org/10.1016/0011-684x(86)90183-8.

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Dissertations / Theses on the topic "Expert systems (computer science)"

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Ali, Mohammad. "Micro expert." Virtual Press, 1991. http://liblink.bsu.edu/uhtbin/catkey/774767.

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The purpose of this research was to investigate different approaches to expert system design and implementation. The resulting research information was used to create a microcomputer based expert system for the university computer services. The aim of this expert system is to help users (students, faculty, and staff) with micro computer purchases. As part of the research various interviews were conducted with prospective computer purchasers and the micro computer experts. This approach was taken to ensure that the system was easy to use and that it provided all users with vital information regarding the purchase of a computer system. Micro Expert was developed on IBM architecture using a commercially available expert system shell and 'C' programming language.The beta testing stage of the system was used to conduct more interviews and questionnaires with the microcomputer experts. This process was used to ensure that the product covered the most common questions of the users and provided adequate help and information on purchases.
Department of Computer Science
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Scott, Lawrence Gill. "Explanations in hybrid expert systems." Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/28741.

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This thesis addresses the problem of providing explanations for expert systems implemented in a shell that supports a hybrid knowledge representation architecture. Hybrid representations combine rules and frames and are the predominant architecture in intermediate and high-end commercial expert system shells. The main point of the thesis is that frames can be endowed with explanation capabilities on a par with rules. The point is illustrated by a partial specification for an expert system shell and sample explanations which could be generated by an expert system coded to that specification. As background information, the thesis introduces expert systems and the standard knowledge representation schemes that support them: rule-only schemes, and hybrid schemes that combine rules with frames. Explanations for expert systems are introduced in the context of rules, since rules are the only representation for which explanations are supported, either in commercial tools or in the preponderance of research. The problem addressed by the thesis, how to produce explanations for hybrid architectures, is analyzed in two dimensions. Research was surveyed in three areas for guiding principles toward solving the problem: frame logic, metalevel architectures, and reflective architectures. With the few principles that were discovered in hand, the problem is then analyzed into a small number of subproblems, mainly concerning high-level architectural decisions. The solution proposed to the problem is described in two ways. First a partial specification for expert system shell functionality is offered, which describes, first, object structures and, then, behaviors at three points in time—object compilation time, execution time, and explanation generation time. The second component of the description is a set of extended examples which illustrate explanation generation in a hypothetical expert system. The solution adopts principles of reflective architectures, storing metainformation for explanations in metaobjects which are distinct from the object-level objects they explain. The most novel contribution of the solution is a scheme for relating all the ways that objects' slot values may be computed to the goal tree construct introduced by the seminal Mycin expert system. The final chapter explores potential problems with the solution and the possibility of producing better explanations for hybrid expert system shell architectures.
Science, Faculty of
Computer Science, Department of
Graduate
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Wong, King Cheong. "Expert systems for foundation design." Thesis, The University of Sydney, 1990. https://hdl.handle.net/2123/26306.

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Expert system technology has been brought from Artificial Intelligence research laboratories to the real world over the last decade. However, to date, there are few expert systems that have been developed for foundation design work. The problems are due to technical and psychological factors and are similiar to those when computers were firstly introduced. In this thesis, the difficulties of building expert systems for foundation engineering application are identified. The work in this thesis is an attempt to study the applicability of expert systems to foundation design and find solutions to existing difficulties. The thesis explores ways in which geotechnical engineers can be persuaded to accept the technology and develop their own systems, or to use developed systems to assist their work. Features of conventional expert systems are investigated, modified and improved such that the developed systems are more suitable for foundation design work and engineers may have more confidence in developing systems or using the developed systems. Three ways of building expert systems are studied and compared in terms of flexibility, user and developer-friendliness, user-confidence, and validation of the developed system. The three ways involve: i) using Turbo PROLOG to encode the system from ‘scratch’, ii) using a development tool (also termed a shell in this thesis), and iii) using a spreadsheet. A new shell is specifically designed and developed to facilitate the second approach. Examples of systems for geotechnical application using each approach are described in detail in this thesis.
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Zoorob, Riad J. "S.E.S., a simulation expert system." Virtual Press, 1994. http://liblink.bsu.edu/uhtbin/catkey/897507.

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The continuous increase in the cost of building real life projects, the high cost of researches concerning a project and the urgent demands for the project to be delivered in a short period of time have urged researchers to find a new scheme of programming in which they would be able to simulate or emulate the real life activities and projects using a computer and a procedural language. But such a scheme of programming was lengthy, tedious and costly. Therefore, it was necessary to find a specialized simulation software that would save the programmer's time and effort on the one hand and would save the client's money on the other. A number of simulation software were developed recently which contributed greatly to the solutions of the simulation problems. However, none of these languages possessed the completeness nor the independence of the use of other tools or procedural languages to compensate for their deficiencies.In this paper I have proposed a number of new ideas aimed to improve the simulation languages in general, and have implemented a number of these ideas in a software package. Chapter one describes the simulation model and the basic concepts of simulation. Chapter two describes briefly the advantages and disadvantages of using simulation software. Also it outlines the limitations of currently used simulation packages. Finally, it suggests new ideas and expectations of a complete simulation package. Chapter three describes the simulation package prototype S. E. S. and gives some implementations. Chapter four explains the basic differences between S. E. S. and SLAM II and shows areas for further research.
Department of Computer Science
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Bradshaw, John. "The P.R.O. expert system shell." Thesis, Rhodes University, 1987. http://hdl.handle.net/10962/d1006302.

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This thesis reports the research which led to the development of the P.R .O. Expert System Shell. The P.R.O . System is primarily, though not exclusively , designed for use in ecological domains. In the light of two specific expert systems, The RCS (River Conservation Status) and the Aquaculture Systems, which were developed as part of this research, a number of areas of importance have been identified. The most significant of these is the need to handle uncertainty effectively. The style of knowledge representation to be implemented also plays an important role. After consulting the relevant literature and the available microcomputer expert system shells, a number of ideas have been included in the P.R.O. System. The P.R.O . System is a backward chaining, production system based expert system shell. It embodies a simple but effective method of handling uncertainty. An important feature of this method is that it takes cognizance of the different relative importances of the conditions which need to be satisfied before a conclusion can be reached. The knowledge base consists of more than rules and questions. It also contains meta-knowledge, which is used by the inference engine. The P.R.O. System has been designed to be of practical use. Its strongest recommendations are therefore, that the two non-trivial systems which have been implemented in it, have been accepted by the experts and their peers as systems which produce good, accurate answers .
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Fisher, David B. "Expert systems in typography /." Online version of thesis, 1990. http://hdl.handle.net/1850/10583.

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Koushik, Geetha. "The specifications of an expert system for configuring teleconferencing systems." Master's thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-10242009-020049/.

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Aiken, Andrew. "AKT-R4 a diagnosis tool." Thesis, Available from the University of Aberdeen Library and Historic Collections Digital Resources, 2008. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?application=DIGITOOL-3&owner=resourcediscovery&custom_att_2=simple_viewer&pid=25223.

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Carden, Kenneth John. "Explanation in rule-based expert systems." Thesis, Rhodes University, 1988. http://hdl.handle.net/10962/d1002034.

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The ability of an expert system to explain its reasoning is fundamental to the system's credibility. Explanations become even more vital in systems which use methods of uncertainty propagation. The research documented here describes the development of an explanation sub-system which interfaces with the P.R.O. Expert System Toolkit. This toolkit has been used in the development of three small ecological expert systems. This project has involved adapting the results of research in the field of explanation-generation, to the requirements of the ecologist users. The subsystem contains two major components. The first lists the rules that fired during a consultation. The second component comprises routines responsible for quantifying the effects on the system conclusions of the answers given to questions. These latter routines can be used to perform sensitivity analyses on the answers given. The incorporation of such routines in small expert systems is quite unique
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Farmani, Maryam. "Object-oriented expert system design TEXPERT /." Morgantown, W. Va. : [West Virginia University Libraries], 2001. http://etd.wvu.edu/templates/showETD.cfm?recnum=2054.

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Thesis (M.S.)--West Virginia University, 2001.
Title from document title page. Document formatted into pages; contains xii, 121 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 118-121).
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Books on the topic "Expert systems (computer science)"

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Parsaye, Kamran. Expert systems for experts. New York: Wiley, 1988.

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Parsaye, Kamran. Expert Systems for Experts. New York [etc.]: John Wiley&Sons, 1988.

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Parsaye, Kamran. Expert Systems for Experts. New York: John Wiley & Son, 1988.

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Benfer, Robert Alfred. Expert systems. Newbury Park, Calif: Sage Publications, 1991.

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Benfer, Robert Alfred. Expert systems. Newbury Park, Calif: Sage Publications, 1991.

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Letendre, Alain. Expert systems. [Ottawa]: Govt. of Canada, Regional Industrial Expansion, 1985.

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inc, International Resource Development, ed. Expert systems. Norwalk, Conn., U.S.A. (6 Prowitt St., Norwalk 06855): International Resource Development, 1985.

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Jay, Liebowitz, and Turban Efraim, eds. Managing expert systems. Pennsylvania: Idea Group Publishing, 1992.

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Frenzel, Louis E. Understanding expert systems. Indianapolis: H.W. Sams, 1987.

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Daly, Donal. Expert systems introduced. Bromley: Chartwell-Bratt, 1988.

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Book chapters on the topic "Expert systems (computer science)"

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Debenham, John. "Understanding expert systems maintenance." In Lecture Notes in Computer Science, 354–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/bfb0049133.

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Weik, Martin H. "expert system." In Computer Science and Communications Dictionary, 552. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_6580.

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Cauvet, C., C. Proix, and C. Rolland. "Information systems design: An expert system approach." In Lecture Notes in Computer Science, 113–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/3-540-19074-0_50.

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Tofangchi, Schahin, Andre Hanelt, and Lutz M. Kolbe. "Towards Distributed Cognitive Expert Systems." In Lecture Notes in Computer Science, 145–59. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59144-5_9.

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Weik, Martin H. "expert system shell." In Computer Science and Communications Dictionary, 552. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_6581.

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Joobbani, Rostam. "Knowledge-Based Expert Systems." In The Kluwer International Series in Engineering and Computer Science, 43–54. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4613-2555-0_4.

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Klut, J. P., and J. H. P. Eloff. "MethoDex: A methodology for Expert Systems development." In Lecture Notes in Computer Science, 106–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-56804-2_11.

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Finch, Ian. "Viewpoints — Facilitating expert systems for multiple users." In Lecture Notes in Computer Science, 401–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-57234-1_38.

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Hartmann, Sven, Josef Küng, Gabriele Kotsis, A. Min Tjoa, and Ismail Khalil. "Correction to: Database and Expert Systems Applications." In Lecture Notes in Computer Science, C1. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-59051-2_29.

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Tjoa, A. Min, and Roland R. Wagner. "Database and Expert Systems 2002 “Quo vadis”?" In Lecture Notes in Computer Science, 945–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-46146-9_93.

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Conference papers on the topic "Expert systems (computer science)"

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Ammar, Maan, Khuzama Ammar, Kinan Mansour, and Waad Ammar. "Expert Systems Generating Machine for Image Processing Applications." In 12th International Conference on Computer Science and Information Technology (CCSIT 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.121303.

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We introduce in this paper what can be considered a new trend in expert systems field. It is generating different expert systems using the same software platform developed for this purpose, and called “Expert Systems Generating Machine for Image Processing Applications ESGMIPA”. The machine is used to generate different expert systems in completely different application fields which indicates the feasibility of the proposal. Using what we called Domain Expert Guided Heuristic Search (DEGHS) and the machine, we generated an expert system that succeeded in cases where no algorithmic approach can be applied. Generating different expert systems using the same machine depends on the well-known fact that the function of an expert system is determined mainly by its knowledge base. The machine developed expedite very much the development of the expert system to reach best performance. The role of domain expert and the positive effect of the interaction between different domain experts in different fields is highlighted.
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Hovakimyan, Anna, Siranush Sargsyan, and Elen Soghomonyan. "Generation of Fuzzy Expert Systems via Machine Learning Methods." In Computer Science and Information Technologies 2023. Institute for Informatics and Automation Problems, 2023. http://dx.doi.org/10.51408/csit2023_44.

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Krapivin, Vladimir F., Ferdenant A. Mkrtchyan, Vladimir Yu Soldatov, and Vasile M. Tovarnitchi. "An Expert Systems for the Aquatic Systems Investigation." In 2017 21st International Conference on Control Systems and Computer Science (CSCS). IEEE, 2017. http://dx.doi.org/10.1109/cscs.2017.108.

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Nitu, Costica, Vladimir F. Krapivin, Ferdenant A. Mkrtchyan, and Anda Sabena Dobrescu. "Expert System for the Water System Diagnostics." In 2021 23rd International Conference on Control Systems and Computer Science (CSCS). IEEE, 2021. http://dx.doi.org/10.1109/cscs52396.2021.00062.

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Muqeem, Sana, Arazi Bin Idrus, Mohd Faris Khamidi, Yap Keem Siah, and Muhammad Saqib. "Application of Fuzzy expert systems for construction labor productivity estimation." In 2012 International Conference on Computer & Information Science (ICCIS). IEEE, 2012. http://dx.doi.org/10.1109/iccisci.2012.6297298.

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Kaimal, Latha B., Abhir Raj Metkar, and Rakesh G. "Self Learning Real Time Expert System." In Third International Conference on Computer Science & Information Technology. Academy & Industry Research Collaboration Center (AIRCC), 2013. http://dx.doi.org/10.5121/csit.2013.3641.

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Bilen, Mehmet, Ali Hakan Isik, and Tuncay Yigit. "Expert system software for domestic animals." In 2017 International Conference on Computer Science and Engineering (UBMK). IEEE, 2017. http://dx.doi.org/10.1109/ubmk.2017.8093581.

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Ruszczak, Bogdan, and Katarzyna Rudnik. "Ensemble-based versus expert-assisted approach to carbon price features selection." In 18th Conference on Computer Science and Intelligence Systems. PTI, 2023. http://dx.doi.org/10.15439/2023f8389.

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Mahmoud, Mostafa, Najla Algadi, and Ahmed Ali. "Expert System for Banking Credit Decision." In 2008 International Conference on Computer Science and Information Technology (ICCSIT). IEEE, 2008. http://dx.doi.org/10.1109/iccsit.2008.31.

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Sahin, Seda, Mehmet R. Tolun, and Yahya Baykal. "Expert System for Access Telecommunication Networks." In 2009 WRI World Congress on Computer Science and Information Engineering. IEEE, 2009. http://dx.doi.org/10.1109/csie.2009.550.

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Reports on the topic "Expert systems (computer science)"

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Olefirenko, Nadiia V., Ilona I. Kostikova, Nataliia O. Ponomarova, Kateryna O. Lebedieva, Vira M. Andriievska, and Andrey V. Pikilnyak. Training elementary school teachers-to-be at Computer Science lessons to evaluate e-tools. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3890.

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The study purpose is to develop methodological support for students’ training for evaluation e-tools for young learners and to check its effectiveness experimentally. The module “Expert evaluation of the quality of e-tools for young learners” is offered for teachers-to-be. The determination of the weighting factor of each criterion by expert evaluations was organized. Educational principles, correlation e-tool content with the curriculum, interactivity, multimedia, assistance system, ergonomic requirements are mentioned. On the basis of the criterion rank, the significance of each criterion was calculated. The indicators to determine the level of preliminary expert evaluations of e-tools are proposed. The results are calculated with nonparametric methods of mathematical statistics, in particular, Pearson’s criterion χ2. The conclusion is the expert evaluation has different activity stages, gradually becoming a common phenomenon. Training teachers-to-be for e-tool expert evaluation at Computer Science, Mathematics, English is a complex process.
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Oleksiuk, Vasyl P., and Olesia R. Oleksiuk. Exploring the potential of augmented reality for teaching school computer science. [б. в.], November 2020. http://dx.doi.org/10.31812/123456789/4404.

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The article analyzes the phenomenon of augmented reality (AR) in education. AR is a new technology that complements the real world with the help of computer data. Such content is tied to specific locations or activities. Over the last few years, AR applications have become available on mobile devices. AR becomes available in the media (news, entertainment, sports). It is starting to enter other areas of life (such as e-commerce, travel, marketing). But education has the biggest impact on AR. Based on the analysis of scientific publications, the authors explored the possibilities of using augmented reality in education. They identified means of augmented reality for teaching computer science at school. Such programs and services allow students to observe the operation of computer systems when changing their parameters. Students can also modify computer hardware for augmented reality objects and visualize algorithms and data processes. The article describes the content of author training for practicing teachers. At this event, some applications for training in AR technology were considered. The possibilities of working with augmented reality objects in computer science training are singled out. It is shown that the use of augmented reality provides an opportunity to increase the realism of research; provides emotional and cognitive experience. This all contributes to engaging students in systematic learning; creates new opportunities for collaborative learning, develops new representations of real objects.
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Wachen, John, Mark Johnson, Steven McGee, Faythe Brannon, and Dennis Brylow. Computer Science Teachers as Change Agents for Broadening Participation: Exploring Perceptions of Equity. The Learning Partnership, April 2021. http://dx.doi.org/10.51420/conf.2021.2.

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In this paper, the authors share findings from a qualitative analysis of computer science teachers’ perspectives about equity within the context of an equity-focused professional development program. Drawing upon a framework emphasizing educator belief systems in perpetuating inequities in computer science education and the importance of equity-focused teacher professional development, we explored how computer science teachers understand the issue of equity in the classroom. We analyzed survey data from a sample of participants in a computer science professional development program, which revealed that teachers have distinct ways of framing their perceptions of equity and also different perspectives about what types of strategies help to create equitable, inclusive classrooms reflective of student identity and voice.
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Chakraborty, Srijani. Promises and Challenges of Systems Biology. Nature Library, October 2020. http://dx.doi.org/10.47496/nl.blog.09.

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Modern systems biology is essentially interdisciplinary, tying molecular biology, the omics, bioinformatics and non-biological disciplines like computer science, engineering, physics, and mathematics together.
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Proskura, Svitlana L., and Svitlana H. Lytvynova. The approaches to Web-based education of computer science bachelors in higher education institutions. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3892.

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The problem of organizing of Web-based education of bachelors, and the bachelors of computer science in particular, is relevant for higher education institutions. The IT industry puts forward new requirements for future IT professionals training. This, in its turn, requires the educational process modernization: content specification, updating of forms, methods and means of training to meet the demands of socio-economic development of the society in general and bachelors of computer science in particular. The article analyzes and clarifies the notion of Web-based education of bachelors; as well as a line of approaches, such as approaches to the organization of Web-based learning for A La Carte, Station Rotation, Lab Rotation, Individual Rotation, Flipped Learning scenario; the necessity of cloud computing and virtual classroom use as a component of Web-based learning is substantiated. It is established that with the advent of a large number of cloud-based services, augmented and virtual realities, new conditions are created for the development of skills to work with innovative systems. It is noted that the implementation of the approaches to the organization of student Web-based education is carried out on international level, in such projects as Erasmus+ “Curriculum for Blended Learning” and “Blended learning courses for teacher educators between Asia and Europe”. The article features the results of programming students survey on the use of Web-based technologies while learning, namely the results of a new approach to learning organization according to the formula – traditional (30%), distance (50%) and project (20%) training.
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Velychko, Vladyslav Ye, Elena H. Fedorenko, and Darja A. Kassim. Conceptual Bases of Use of Free Software in the Professional Training of Pre-Service Teacher of Mathematics, Physics and Computer Science. [б. в.], November 2018. http://dx.doi.org/10.31812/123456789/2667.

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The development of education is associated primarily with the use of ICT. A significant experience is already gained in how to use educational computer systems while new forms and methods of learning based on modern information technology are being developed and used. In relation to free software, a period when the quantity should translate into quality and an indicator of such translation is development of the concept of the introduction of free software in educational activities of universities. The proposed concept, let’s take Ukraine as an example, determines the main aim of introduction of free software in the training of pre-service of Mathematics, Physics and Computer Science; defines the objectives, measures, principles, the role and value of free software in the informatization process and results of its implementation.
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7

Nechaev, V., Володимир Миколайович Соловйов, and A. Nagibas. Complex economic systems structural organization modelling. Politecnico di Torino, 2006. http://dx.doi.org/10.31812/0564/1118.

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One of the well-known results of the theory of management is the fact, that multi-stage hierarchical organization of management is unstable. Hence, the ideas expressed in a number of works by Don Tapscott on advantages of network organization of businesses over vertically integrated ones is clear. While studying the basic tendencies of business organization in the conditions of globalization, computerization and internetization of the society and the results of the financial activities of the well-known companies, the authors arrive at the conclusion, that such companies, as IBM, Boeing, Mercedes-Benz and some others companies have not been engaged in their traditional business for a long time. Their partner networks performs this function instead of them. The companies themselves perform the function of system integrators. The Tapscott’s idea finds its confirmation within the framework of a new powerful direction of the development of the modern interdisciplinary science – the theory of the complex networks (CN) [2]. CN-s are multifractal objects, the loss of multifractality being the indicator of the system transition from more complex state into more simple state. We tested the multifractal properties of the data using the wavelet transform modulus maxima approach in order to analyze scaling properties of our company. Comparative analysis of the singularity spectrumf(®), namely, the difference between maximum and minimum values of ® (∆ = ®max ¡ ®min) shows that IBM company is considerably more fractal in comparison with Apple Computer. Really, for it the value of ∆ is equal to 0.3, while for the vertically integrated company Apple it only makes 0.06 – 5 times less. The comparison of other companies shows that this dependence is of general character. Taking into consideration the fact that network organization of business has become dominant in the last 5-10 years, we carried out research for the selected companies in the earliest possible period of time which was determined by the availability of data in the Internet, or by historically later beginning of stock trade of computer companies. A singularity spectrum of the first group of companies turned out to be considerably narrower, or shifted toward the smaller values of ® in the pre-network period. The latter means that dynamic series were antipersistant. That is, these companies‘ management was rigidly controlled while the impact of market mechanisms was minimized. In the second group of companies if even the situation did changed it did not change for the better. In addition, we discuss applications to the construction of portfolios of stock that have a stable ratio of risk to return.
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Eberle, Caitlyn, and Zita Sebesvari. Technical Report: Space debris. United Nations University - Institute for Environment and Human Security (UNU-EHS), October 2023. http://dx.doi.org/10.53324/yiku7602.

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At present, there are approximately 8,300 satellites actively orbiting the Earth, gathering and distributing vital data for space science, Earth observation, meteorology, disaster early warning systems, telecommunication, and navigation. Satellites make our lives safer, more convenient and connected, and represent critical infrastructure that is now essential for a functioning society. However, as the number of satellites increases, so does the problem of space debris, posing a threat to both functioning satellites and the future of our orbit. This technical background report for the 2023 edition of the Interconnected Disaster Risks report analyses the root causes, drivers, impacts and potential solutions for the space debris risk tipping point our world is facing through an analysis of academic literature, media articles and expert interviews.
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Tkachuk, Viktoriia V., Vadym P. Shchokin, and Vitaliy V. Tron. The Model of Use of Mobile Information and Communication Technologies in Learning Computer Sciences to Future Professionals in Engineering Pedagogy. [б. в.], November 2018. http://dx.doi.org/10.31812/123456789/2668.

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Research goal: the research is aimed at developing a model of use of mobile ICT in learning Computer Sciences to future professionals in Engineering Pedagogy. Object of research is the model of use of mobile ICT in learning Computer Sciences to future professionals in Engineering Pedagogy. Results of the research: the developed model of use of mobile ICT as tools of learning Computer Sciences to future professionals in Engineering Pedagogy is based on the competency-based, person-centered and systemic approaches considering principles of vocational education, general didactic principles, principles of Computer Science learning, and principles of mobile learning. It also takes into account current conditions and trends of mobile ICT development. The model comprises four blocks: the purpose-oriented block, the content-technological block, the diagnostic block and the result-oriented block. According to the model, the learning content of Computer Sciences consists of 5 main units: 1) Fundamentals of Computer Science; 2) Architecture of Modern Computers; 3) Fundamentals of Algorithmization and Programming; 4) Software of Computing Systems; 5) Computer Technologies in the Professional Activity of Engineer-pedagogues.
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Tkachuk, Viktoriia, Serhiy Semerikov, Yuliia Yechkalo, Svitlana Khotskina, and Vladimir Soloviev. Selection of Mobile ICT for Learning Informatics of Future Professionals in Engineering Pedagogy. [б. в.], October 2020. http://dx.doi.org/10.31812/123456789/4127.

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The research aims to theoretically justify and experimentally verify selection of mobile ICT for learning informatics to future professionals in engineering pedagogy. The research tasks include selecting groups of informatics subjects and mobile ICT tools for learning future professionals in engineering pedagogy. The research object involves selection of mobile ICT for the training process. The re-search subject is selection of mobile ICT for learning informatics to future professionals in engineering pedagogy. The research results imply analysis of the national and foreign researches into mobile ICT for learning informatics. The latest publications concerning selection of mobile ICT for teaching Informatics subjects (Mobile Learning Management Systems, Mobile Modeling and Programming Environments, Mobile Database Management Systems, Mobile Multimedia Authoring Tools, Audience Response Systems) are analyzed. Informatics subjects are united into 19 groups, mobile ICT tools – into five groups. The experimental research is conducted according to the syllabuses for Speciality 015.10 “Professional Education (Computer Technologies)”. The expert assessment results for each of the content blocks of informatics subjects allow determining leading and auxiliary mobile ICT teaching tools.
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