scholarly journals THE RESEARCH AND ELABORATION OF ACTUAL ASPECTS IN THE SUBJECT AREA OF INFORMATION TECHNOLOGIES FOR COMPUTERIZED TRAINING USING THE METHODOLOGY OF EXPERT SYSTEMS OF ARTIFICIAL INTELLIGENCE

Author(s):  
G. Veselovskaya ◽  
O. Yastrebova ◽  
D. Iatsenko
2021 ◽  
Vol 74 (1) ◽  
pp. 114-121
Author(s):  
Vasyl Kovalov ◽  

Active introduction of digital technologies in all spheres of life is one of the main directions of state development as a whole and separate sphere of activity. The issue of using information technologies and systems during forensic examination is the subject of scientific research of many domestic and foreign scientists, but this sphere remains relevant. The introduction of digital technologies in forensic activities is one of the priority areas for the forensic science development at the present stage and has significant development potential. One of the areas of optimization and improvement of forensic activity is the development of methods to automate the formation of forensic experts and unify the description of the research process, identified features, justification and formulation of forensic conclusions, which requires legislative consolidation and regulation, analysis and definition of the subject area and development requirements and algorithms for the operation of the system interface. Unification and standardization of the content of forensic experts' opinions requires the development of common standards and an information system adopted by all subjects of forensic expertise, and meets the needs of practice. The development of an information system for forming an expert opinion and automatically forming an expert opinion will allow formalizing and unifying the description of research and results of forensic examinations, optimizing the time of forensic experts and potentially reducing the number of logical, typographical and technical errors, and simplifying quality control of forensic examinations. The proposed system will not only automate the technical work of registration of research results carried out during forensic examinations, but will also contain research algorithms, which will be stored in the form of data on already conducted research of similar objects (list and sequence of operations, identified features and their parameters).


T-Comm ◽  
2020 ◽  
Vol 14 (12) ◽  
pp. 66-71
Author(s):  
Shakhmaran Zh. Seilov ◽  
◽  
Vadim Yu. Goikhman ◽  
Yerden Zhursinbek ◽  
Mereilim N. Kassenova ◽  
...  

Modern communication networks are based on multi-service networks, which are a single telecommunications structure that can transmit large volumes of multi-format information (voice, video, data) and provide users with a variety of information and communication services. Traffic transmitted in multiservice networks differs significantly from traditional traffic of telephone or other homogeneous networks. Knowledge of the nature of modern traffic is necessary for the successful construction, operation and development of multi-service communication networks, providing users with high-quality services, and efficient use of funds allocated for network development. To learn the properties of infocommunication traffic, new methodological techniques are currently used, as well as promising information technologies such as Big Data and data mining. The article is devoted to the use of such elements of artificial intelligence as expert systems and neural network technologies in relation to the analysis of infocommunication traffic. The article examines the structure of expert systems, analyzes the applied search strategies and decision-making methods. The article also provides an overview of the architecture of neural networks in relation to traffic analysis tasks. The traffic analysis task is a classification task. The feasibility of using multi-layer neural networks with direct signal propagation for traffic analysis is shown. The following neural network architecture was chosen: the input layer, in accordance with the dimension of the input signal, contained 51 neurons, two hidden layers with 20 and 10 neurons, respectively, and the output layer with five neurons, according to the number of specified types of distributions. The results obtained showed a satisfactory quality of the neural network developed and trained in the framework of the research.


2021 ◽  
Vol 6 (1) ◽  
pp. 108-119
Author(s):  
JihaD FraiJ ◽  
Várallyai László

This paper aim is to review the implementation of artificial intelligence (AI) in the Human Resources Management (HRM) recruitment processes. A systematic review was adopted in which academic papers, magazine articles as well as high rated websites with related fields were checked. The findings of this study should contribute to the general understanding of the impact of AI on the HRM recruitment process. It was impossible to track and cover all topics related to the subject. However, the research methodology used seems to be reasonable and acceptable as it covers a good number of articles which are related to the core subject area. The results and findings were almost clear that using AI is advantages in the area of recruitment as technology can serve best in this area. Moreover, time, efforts, and boring daily tasks are transformed to be computerized which makes a good space for humans to focus on more important subjects related to boosting performance and development. Acquiring automation and cognitive insights as well as cognitive engagement in the recruitment process would make it possible for systems to work similarly to the human brain in terms of data analysis and the ability to build an effective systematic engagement to process the data in an unbiased, efficient and fast way.


2021 ◽  
Vol 7 (2) ◽  
pp. 50-52
Author(s):  
I.A. Shaderkin ◽  
◽  

Introduction. Recently, a large number of intelligent systems have begun to appear that are used to support medical decision- making – «artificial intelligence in medicine». Material and methods. The author of the publication also works on the issues of making medical decisions, and, being a doctor himself, in the course of his work and existing practice, discovered a number of important issues that he considered necessary to share with the professional community. Results. In some cases, the demonstration of the successful operation of the software in the declared characteristics (sensitivity, specificity) occurs only in the «reliable hands» of the developers and on the data that underlie the software. When attempting to demonstrate performance in clinical situations, the claimed characteristics are often not achieved, so the clinical community that must use this AI-based solution does not always form a favorable opinion. The author considers various types of errors that can be fatal in making medical clinical decisions – distortion of primary medical knowledge, lack of knowledge or inaccurate knowledge about the subject area, social distortions. Conclusions. When developing solutions based on AI, it seems important to keep the above points in mind for both developers and users.


2022 ◽  
Vol 14 (2) ◽  
pp. 80-88
Author(s):  
Viacheslav Pavlenko ◽  
◽  
Volodymyr Manuylov ◽  
Volodymyr Kuzhel ◽  
Vladislav Listgarten ◽  
...  

The article considers the architecture of conceptual modeling of the knowledge base, which creates a model of the subject area in the form of many concepts and relationships between them. This approach is based on the concept of a mobile software agent, which is implemented and functions as an independent specialized computer program or an element of artificial intelligence. Ensuring the use of subject area knowledge has become one of the driving forces of the recent surge in the study of artificial intelligence. For example, for models of many different subject areas it is necessary to formulate the concept of time. This representation includes the concepts of time intervals, time points, relative measures of time, etc. If one group of scientists develops a detailed knowledge base, others can simply reuse it in their subject areas using their own database. Creating explicit assumptions in the subject area, which underlie the implementation, makes it easy to change the assumptions when changing our knowledge of the subject area. The process of conceptualization of TO and P, first of all, involves the development of databases in research areas for the formalization and systematization of knowledge about the characteristics of this area of entities and phenomena. That is, the use of concepts in the field of maintenance in a consistent manner in relation to theories of knowledge. Ultimately, the paper updated mathematical modeling, algorithmization and implementation of intelligent systems in the field of maintenance, which will help automate the process of diagnosis and inspection of all car systems, facilitate fault prevention and improve the maintenance process and modernize the maintenance system itself. The approach of algorithmization of the base of knowledge of a condition of the car in each moment of time considered in work gives the chance to reduce time of stay of the car in the service center and to reduce considerably expenses for passing of MOT at service of cars.


Author(s):  
В.И. Воловач ◽  
Т.С. Яницкая ◽  
В.В. Иванов ◽  
А.С. Васильева

Рассмотрен процесс разработки учебно-методических материалов при формировании или обновлении основной профессиональной образовательной программы. Произведенный анализ предметной области позволил разработать прототип информационной системы. На примере формирования рабочих учебных программ показаны основные этапы разработки приложения, определены технологии разработки информационной системы. The process of developing educational methodological materials in the formation or updating of the main professional educational program is considered. The analysis of the subject area made it possible to develop a prototype of the information system. Using the example of the formation of working curricula, the main stages of application development are shown, technologies for the development of an information system are determined.


2009 ◽  
Vol 26 (1) ◽  
pp. 95-97
Author(s):  
Andrew Rippin

An encyclopedia is popularly thought of as presenting the sum of all knowledge,whether it be universal or on a specific topic. A moment’s reflectionreveals, of course, that such an understanding does not quite get at the realconcept, for there is no such thing as “all knowledge.” The historicalmomentwill always define the extent of the knowledge that is available. The structuralterms within which that knowledge is constructed – its headings andsubheadings – are historically bound as well. One of the features – bothadmirable and disconcerting – of the Encyclopedia of Women & IslamicCultures is how the work makes the reader aware of these factors: that thisencyclopedia is, in fact, by its very act of being produced, defining a previouslynon-existent area of encyclopaedic knowledge and that the gaps inknowledge of the subject area, even after the production of the work, are substantial.Volume 4, “Economics, Education, Mobility and Space,” illustratesthis point vividly.As can be seen by the volume’s heading, the overall encyclopedia isorganized at the top level in themes. Within each volume, though, entries areorganized alphabetically. The main topics covered are “Cities,” “Development,”“Economics,” “Education,” “Environment,” “Information Technologies,”“Migration,” “Poverty,” “Slavery,” “Space,” and “Tourism.” Sincethe ordering of the next level of headings is alphabetical as well, there is noparticular organizational logic to the sequence of presentation. Under“Cities,” for example, the subheadings are, in order: “Colonial Cities,”“Homelessness,” “Informal Settlement,” “Islamic Cities,” “Urban BuiltEnvironments,” “Urban Identities,” and “Urban Movements.” It is difficultto ascertain whether any theoretical structure has dictated these subheadings ...


2020 ◽  
pp. 5-9
Author(s):  
A. R. Akopyan ◽  
A. M. Arakelyan ◽  
V. V. Krysov

The article considers the problems of ontologization of mental representations of a certain field of activity and the corresponding subject area for the purposes of management automation. For the first time, the authors raise the question about the need to include mental representations of the sphere of activity that the subject area reflects in the ontology of the subject area. Ontologization of mental representations is necessary to identify the participants' understanding of their actions, which will change approaches to management, and for deep training of artificial intelligence in order to transfer part of its management functions to it. On the basis of connectionist approaches to understanding thinking, the paper considers the processes of forming mental representations and changing their attributes. The article gives a new definition and typology of mental representations.


1988 ◽  
Vol 25 (01) ◽  
pp. 30-35
Author(s):  
C. G. Biancardi ◽  
D. R. Dellwo

Marine operations traditionally have been managed by professional mariners whose years of experience and training have prepared them for that responsibility. The science of artificial intelligence (Al) has made possible the development of computer programs used in monitoring, controlling and simulating the behavior of fully automated vessels. The advent of such programs means that, in the future, ships will be operated by a combination of human and machine intelligence. This paper is intended as a brief review of the subject of expert systems (ES), a branch of Al technology, and as a survey of its current maritime applications.


2019 ◽  
Vol 73 (5) ◽  
pp. 149-160
Author(s):  
Serhii A. Lupenko ◽  
Volodymyr V. Pasichnyk ◽  
Nataliia E. Kunanets

The paper presents the axiomatic-deductive strategy of organizing the content of an academic discipline with the help of ontological approach in the e-learning systems in the field of information technologies. The authors have taken into account that the necessary property of the system of axiomatic statements is their consistency. On the basis of axiomatic-deductive strategy, new approaches to the formation of the discipline content are proposed. It is proved that the system of true statements of an academic discipline is based on its terminology-conceptual apparatus, in particular, axiomatic statements. The developed mathematical structures that describe the axiomatic-deductive substrategy of the organization of the academic discipline general statements and the taxonomically oriented substrategy of the deployment of the academic discipline content are presented in the article. This ensures the transition from the content form of representation of the set of statements of the academic discipline to its presentation by means of artificial languages of mathematical logic. The use of descriptive logic ensures the formalization of the procedure for displaying an axiomatic informal system in an axiomatic formal system. The mathematical structures describe and detail the abstract logical-semantic core of the academic discipline in the form of a group of axiomatic systems. It is noted that the basic core of the content of academic discipline contains its basic concepts and judgments. This ensures a strictly logical transition from abstract general concepts and statements to the concepts and assertions of the lower level of universality and abstraction. It is noted that in order to accommodate the content of an academic discipline is advisable to develop a taxonomically oriented sub-strategy based on the multiple application of operations of general concept division. The mathematical structures allow for analysis of a generalized structure of interactions between the verbal level of the description of the academic discipline subject area, the formal level of description of the subject area and the description of the subject area at the level of computer ontology, which is implemented through the formalization, interpretation, encoding and decoding in the computer-ontology development environment. As an example of the application of the proposed axiomatic-deductive strategy, the elements of the glossary and taxonomies of the concepts of the discipline "Computer Logic", which are embodied in the Protégé environment with the help of OWL ontology description language have been developed.


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