2022 International Conference on Smart Information Systems and Technologies (SIST)最新文献

{"title":"Competence Model Development at Astana IT University","authors":"L. Salykova, Nurkhat Ibadildin, Danil Lebedev","doi":"10.1109/SIST54437.2022.9945819","DOIUrl":"https://doi.org/10.1109/SIST54437.2022.9945819","url":null,"abstract":"This article is devoted to analysis of existing competencies that are relevant for educational system. Global competition and rapid development of technologies create the need for Higher Education Institutions (HIE) to teach future graduates competencies required by employers. Authors propose competence-based model of education for Astana IT University. This model will be developed as a student digital profile with access by potential employers. Such model would be beneficial for all stakeholders and need further development.","PeriodicalId":207613,"journal":{"name":"2022 International Conference on Smart Information Systems and Technologies (SIST)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127334610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intelligent Information Technology for Testing Neural Network During Diagnostics of Technical Condition of Industrial Buildings","authors":"O. Terentyev, Ihor Rusan, I. Gorbatyuk, Anatoliy Sviderskyi","doi":"10.1109/SIST54437.2022.9945808","DOIUrl":"https://doi.org/10.1109/SIST54437.2022.9945808","url":null,"abstract":"The article proposes methodological bases of construction of information system of diagnostics of technical state of constructions of industrial buildings and structures and justification of efficiency of technologies of instrumental determination of parameters of buildings, structures at all stages of their life cycle, which are considered from the position of strategic information management. The statistic has analyzed the results of the experiment with the model of the automated system and the diagnostics of the technical staff in the future and rejected the results, which give the possibility of preventing the effective implementation of the neural measure, just like a laborious tool for the future. The causes of destruction of building structures in the process of technical diagnostics of construction facilities using neural networks of the information system were identified and analyzed. The reasons for the destruction of building structures have also been identified and analyzed. The processing of collected data and methods of their search and evaluation, which are carried out in the process of technical diagnostics of construction objects. To automate the processes of evaluation activity from information collection to decision-making, a system for storing, preparing and processing data on the basis of a neural network is proposed.","PeriodicalId":207613,"journal":{"name":"2022 International Conference on Smart Information Systems and Technologies (SIST)","volume":"23 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123276381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predictive Analytics for Increasing the Energy Efficiency of Industrial Enterprises","authors":"S. Kiyko, E. Druzhinin, O. Prokhorov, V. Kosenko, Ihor V. Biletskyi, Mykhailo Kovalevskyi","doi":"10.1109/SIST54437.2022.9945720","DOIUrl":"https://doi.org/10.1109/SIST54437.2022.9945720","url":null,"abstract":"Methods of forecasting and planning of energy consumption of industrial enterprises used in the process of monitoring, control and optimization of energy consumption at the enterprise, as well as for development of energy efficiency strategy are considered. Methods of intelligent data analysis, agent modeling, artificial intelligence and combinatorial optimization methods are used. The developed methodological and software is used in PJSC “Dniprospetsstal” in solving problems of management of energy saving projects and energy consumption processes. An assessment of the volume and efficiency of energy consumption at the metallurgical enterprise was conducted. This allowed to make an informed choice of energy saving directions at the metallurgical enterprise and to evaluate the effectiveness of the energy saving program.","PeriodicalId":207613,"journal":{"name":"2022 International Conference on Smart Information Systems and Technologies (SIST)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123572355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Students' Motivational Profiles in the High Education of Kazakhstan in the Context of Self-determination Theory:Big Data Application","authors":"D. Zhaisanova","doi":"10.1109/SIST54437.2022.9945826","DOIUrl":"https://doi.org/10.1109/SIST54437.2022.9945826","url":null,"abstract":"The intention of this paper is to raise some question about the student perspectives of their employability in terms of a conceptual model of self-determination theory which holds that there is a positive and significant relationship between self-perception (supporting for an autonomy environment, relatedness, autonomy, competence) and the types of motivation according to the self-determination theory in high education using data of PISA survey. Study results indicate that the prevalence of extrinsic motivation among students is more than internal, and extrinsic motivation, applied by parents is the stronger feature for the students of Kazakhstan, which could influence their decision-making ability11This research was supported by the Soros Foundation-Kazakhstan in the framework of the “Big Data in Education-2020” project, carried out in cooperation with the Center for Applied Policy and Integrity. The views expressed therein are those of the author(s) and do not necessarily reflect the official positions of the Soros Foundation-Kazakhstan or the Center. This work directly includes the existing literature about Self-determination theory and Big data application.","PeriodicalId":207613,"journal":{"name":"2022 International Conference on Smart Information Systems and Technologies (SIST)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122129448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Substantiation and Development of Comprehensive Measures to Improve the Activities of Construction Companies","authors":"Khrystyna Chupryna, A. Biloshchytskyi, D. Prykhodko, Horbach Maksym, Oleksandr Mironov, Mykhailo Malykhin","doi":"10.1109/SIST54437.2022.9945762","DOIUrl":"https://doi.org/10.1109/SIST54437.2022.9945762","url":null,"abstract":"The article presents the efficiency of construction production and discusses the methods, existing approaches and improvement of management decisions to assess the level of efficiency of the resource potential of the construction company. Methodological approaches to the analysis of the processes of construction organization in market conditions to determine the interdependence of the elements of the construction organization and the hierarchy of its strategy. The economic and mathematical model of optimum use of resources by the building organization taking into account risks for a derivation of a formula of calculation of variance of profit from variances of use of resources is offered. In order to obtain an optimal plan for the use of resources, it is proposed to form an economic-mathematical model in the form of a linear programming problem and its dual problem. The solution to these problems provides an optimal resource allocation plan and dual estimates for resources. Since risks take place in market conditions, a formula for calculating the variance of profit of used resources is derived on the basis of dual valuations. The work also developed econometric models of the dependence of the values of the main economic indicators on the factors for a specific construction organization and calculated the coefficients of elasticity, which show the magnitude of each factor's impact on the indicator. Accounting records from several years and quarters were used for this purpose. The analysis of particular results has been carried out and the degrees of influence of each factor have been found, which show the directions of the factors' changes at the expense of regulation of the environment in which the building organization operates. The volume of construction product sales of a particular construction enterprise was compared with the volume of construction product sales of an average Ukrainian construction enterprise. The advantage was in favor of a particular company. The following primary factors (resources) were defined: Investments, number of employees and cost of materials.","PeriodicalId":207613,"journal":{"name":"2022 International Conference on Smart Information Systems and Technologies (SIST)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128229998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"NSEV Method for Better Resolution","authors":"S. Thazeen, Mohamed Najmus Saqhib","doi":"10.1109/SIST54437.2022.9945827","DOIUrl":"https://doi.org/10.1109/SIST54437.2022.9945827","url":null,"abstract":"The field of Mobile Communication has seen enormous changes in recent years that has led to drastic shifts in the ways communication is done. From second generation to now fifth generation has been possible because of time-to-time innovation of many different technologies that have provided higher bandwidth to higher transmission data rates etc. The Smart Antenna system is one such technology that not only improves channel capacity but also provides better interference rejection with improved signal-to-noise ratio. Smart antennas perform dual operation of trans-reception. They sense the angular direction that hits the antenna array at the base station and radiate beam towards the estimated direction. The paper presents a new adaptive algorithm that can be utilized by the digital signal processing unit of smart antenna to detect the direction of mobile users trying to seek access by connecting wirelessly with the nearest base station for communication. The algorithm outperforms other existing ones successfully resolving even those sources that are close to each other. The proposed method provides better resolution.","PeriodicalId":207613,"journal":{"name":"2022 International Conference on Smart Information Systems and Technologies (SIST)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129116137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative Overview of Color Models for Content-Based Image Retrieval","authors":"Pakizat Shamoi, Daniyar Sansyzbayev, Nurmukhamed Abiley","doi":"10.1109/SIST54437.2022.9945709","DOIUrl":"https://doi.org/10.1109/SIST54437.2022.9945709","url":null,"abstract":"Today CBIR (content-based image retrieval) in contrast to conventional TBIR (text-based image retrieval) has become a focusing research area in image processing due to numerous application possibilities. These applications vary from medical and security to business and SNS applications, to name a few. Color is the most widely used image characteristic since it is independent of image resolution or orientation. There is no single best color representation. The target application has a big role in determining which color model is best to use. To speed up the retrieval time and get good accuracy, one must understand which color model to employ. In this paper, we provide a critical review of existing color models, explain their attributes, analyze them from various perspectives and provide a context-aware comparative evaluation. We study when and why certain color models outperform others in certain applications under certain circumstances. Color spaces described in this paper are not only well-known e.g., RGB, CMYK, HSV, and Munsell, but also novice systems, like fuzzy color models, that can process higher color semantic levels.","PeriodicalId":207613,"journal":{"name":"2022 International Conference on Smart Information Systems and Technologies (SIST)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123965196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Synthesis Model of the Financial and Economic Security Level Assessment in the Company Management System","authors":"M. Sharkadi, M. Malyar, Gabriela Mazyutynets","doi":"10.1109/SIST54437.2022.9945792","DOIUrl":"https://doi.org/10.1109/SIST54437.2022.9945792","url":null,"abstract":"The solution of the actual problem of determining the level of financial-economic security for companies using neuro-phase modeling is presented. In this study, it is proposed to use a multilevel neural network, each level of which solves certain problems. The proposed approach will make it possible to determine the level of financial security of the company in different times of its operation. The developed model allows each company to use its own set of financial indicators to determine the level of security. Each layer of the neural network is an autonomous unit that allows you to develop a network.","PeriodicalId":207613,"journal":{"name":"2022 International Conference on Smart Information Systems and Technologies (SIST)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131082158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"IoT-Based Real-Time 3D Printing Monitoring System","authors":"Temirlan Kazhymurat, E. Shehab, Md. Hazrat Ali","doi":"10.1109/SIST54437.2022.9945778","DOIUrl":"https://doi.org/10.1109/SIST54437.2022.9945778","url":null,"abstract":"This paper presents IoT based real-time monitoring system for 3D printing. However, additive manufacturing or 3D printing allows complex solutions and innovations due to its superior advantages over conventional material removal processes. Monitoring and quality control of the printing process are still challenging to implement. There is a need for research efforts in creating IoT-based monitoring, control systems, smart manufacturing systems, and digital twin for the additive manufacturing process. The paper provides a real-time monitoring system for 3D printing based on the data receiving an approach from different embedded sensors in a real-time regime. The sensors are composed of thermocouples, accelerometers, thermistors, and cameras. Matlab-Arduino support package tools were employed for visualization data from sensors. The advantages of our proposed monitoring system are the simplicity of design and the availability of embedded sensors which can track actual data from the 3D printer machine and interface it through remote monitoring systems.","PeriodicalId":207613,"journal":{"name":"2022 International Conference on Smart Information Systems and Technologies (SIST)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132828580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of Reflex Technology of Action Identification in Project Planning Systems","authors":"Iurii Teslia, N. Yehorchenkova, Iulia Khlevna, Oleksii Yehorchenkov, Yevheniia Kataieva, Ganna Klevanna","doi":"10.1109/SIST54437.2022.9945727","DOIUrl":"https://doi.org/10.1109/SIST54437.2022.9945727","url":null,"abstract":"The need for intellectualization of project management processes is shown, in particular, the creation of intelligent systems capable of effectively plan projects in the process of natural-language interaction with the project team. The analysis of existing theoretical and practical developments in this field is carried out. It is shown that the issue of intellectualization of the project planning process is still open. It is proposed to use a reflex approach to building an intelligent project planning system. The technology of reflex identification of actions in project planning systems, based on the model of non-force (information) interaction, is proposed. Scenarios of actions have been developed and their distribution has been performed in accordance with the content of natural language requests to the project planning system. Experimental studies are shown a high probability of correct recognition of actions in project planning systems from natural language requests of project team members. The results of the conducted experiments unequivocally testify to the effectiveness of the developed information technology of reflex identification of action scenarios in project planning systems.","PeriodicalId":207613,"journal":{"name":"2022 International Conference on Smart Information Systems and Technologies (SIST)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114603361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}