2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)最新文献

{"title":"Using the Internet of Things (IoT) for Natural Resources Monitoring System","authors":"Demidchik N. N., Kudaibergenova M. D., Kintonova A. Zh.","doi":"10.1109/SIST50301.2021.9465979","DOIUrl":"https://doi.org/10.1109/SIST50301.2021.9465979","url":null,"abstract":"The article analyzes solutions for monitoring the quality of water and air based on Internet of Things technology and embedded smart systems. Modern smart technologies of Internet of Things allow to verify the water and air quality in real time using various sensors, APIs and open data. The IoT stack of technologies - Eclipse IoT, MQTT allows for fog and edge computing, as well as use big data algorithms to analyze, predict and notify users about air quality. And, according to project of the Open Data Institute and its co-author Tim Burners-Lee, data from the Internet of Things are now available in open sources, which allows developers to create a variety of mobile and web-applications based on the Internet of Things. Abroad, air quality monitoring data is available to users through real-time web applications and mobile applications. The article describes methodology for creating web application using API portal https://airkaz.org/ sensor data to measure PM 2.5 and PM 10 particles in the air. This application is designed to monitor the air quality and allows display the content of harmful substances in the air in Nur-Sultan.","PeriodicalId":318915,"journal":{"name":"2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122655892","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":"Problems in Air Quality Monitoring and Assessment","authors":"Yuanfang He, A. Kuchansky, Sergiy Paliy, Yevhenia Shabala","doi":"10.1109/SIST50301.2021.9465915","DOIUrl":"https://doi.org/10.1109/SIST50301.2021.9465915","url":null,"abstract":"Multifactor analysis of the formation of the level of pollution in combination with the operational forecast of the level of pollution is an effective way to help partially solve the problems of environmental pollution. The relevance of research on monitoring the state of environmental pollution is confirmed by the fact that the governments of all leading countries spend, on average, from 1% to 3% of their budgets on environmental protection measures. The paper provides an overview of known systems for monitoring the state of air, water, and soil pollution. The importance of the technical component in ensuring monitoring is shown. New tendencies concerning the application of innovative technologies in the field of environmental monitoring are revealed. By the task of monitoring the state of the environment, the structure of the information system for monitoring the state of the environment is proposed. The system should include the subsystems for collecting information on the state of the environment, the subsystem for storing and storing data, the subsystem for forecasting the state of the environment, and subsystems for interaction with the user.","PeriodicalId":318915,"journal":{"name":"2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129069783","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":"Gait Based Person Recognition","authors":"M. Zhassuzak, A. Turegali, Y. Amirgaliyev, Z. Buribayev","doi":"10.1109/SIST50301.2021.9465886","DOIUrl":"https://doi.org/10.1109/SIST50301.2021.9465886","url":null,"abstract":"The gait is a special feature that needs to be identified as it affects many parts of the body. Each person's gait is individual. Unlike fingerprint or retinal identifiers, gait can be recognized at a great distance without direct contact. Also, gait recognition during epidemic periods is more relevant than face recognition. Using machine learning algorithms, you can train a neural network to recognize the identity of each person. The study considers splitting the stream into frames and various options for background segmentation such as GrabCut and Mask R-CNN. What follows is a detailed analysis of the optimal solution methods for human personality recognition based on the outline and the bounding box.","PeriodicalId":318915,"journal":{"name":"2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121539605","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":"Identifying the Cybercrime Awareness of Undergraduate and Postgraduate Students: Example of Kazakhstan","authors":"Demet Soylu, T. Medeni, R. Andekina, R. Rakhmetova, Rita Ismailova","doi":"10.1109/SIST50301.2021.9465995","DOIUrl":"https://doi.org/10.1109/SIST50301.2021.9465995","url":null,"abstract":"Cybercrime is the offense related to the ethical and legal violation of the computer and IT system, a threat to the security of information systems, and abuse of the Internet platform. It is committed through the Internet or computer systems. Its direct and indirect results disrupt the flow of technological infrastructure. Gaining the knowledge or skills related to the types and content of the cybercrimes is an essential prerequisite in the digital era. Thus, it is very significant to raise the awareness of the younger generation, who will shape the future of societies. In accordance with this, our study aims to identify the cybercrime awareness of undergraduate and postgraduate students in one of the higher education institutions of Kazakhstan. Totally 133 student participants attended the survey which included questions about the awareness of cybercrime concept and its scope. The findings of the study have revealed that cybercrime awareness of the participants is in moderate-level. Their knowledge and skills need to be improved further. Based upon this, it is very important to teach cybercrime in all levels of education and include it in the educational curriculum Higher cybercrime awareness level of young people will have a positive impact upon their interaction with information systems and tools. They will have better and safer use of Internet and information systems which is quite significant in today’s post-modern and post-truth world. This article was prepared within the frame of AP08052656 \"Readiness assessment of Kazakhstani higher educational institutions for transformation within the context of Triple Helix project, funded by the Ministry of Education and Science of the Republic of Kazakhstan.","PeriodicalId":318915,"journal":{"name":"2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131285116","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":"Application of GPR Research for the Diagnosis of Decompaction Zones of Coal Massif of Shubarkol Field","authors":"Aliya Shakhatova, M. Shishlenin, T. Mirgalikyzy, V. Portnov","doi":"10.1109/SIST50301.2021.9465955","DOIUrl":"https://doi.org/10.1109/SIST50301.2021.9465955","url":null,"abstract":"This article describes the study of the coal massif of the Shubarkol field in order to diagnose decompaction zones based on GPR studies. The use of georadar studies to determine the zones of decompaction of the coal massif and its effect on the physical properties in the mining area is an important scientific and technical task of mining. One of the solutions to this problem is electromagnetic logging, which uses georadars of various designs.","PeriodicalId":318915,"journal":{"name":"2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130439369","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":"Information - Education Milieu: Methodology of Forming Knowledge Content and Practice Oriented Training of IT-disciplines","authors":"Kubekov B. S., Naumenko V. V., Ibraimkulov A. Ye.","doi":"10.1109/SIST50301.2021.9465891","DOIUrl":"https://doi.org/10.1109/SIST50301.2021.9465891","url":null,"abstract":"The article herein considers the innovative methodology of forming the knowledge content, based on ontological model. The basic methodology concepts are project-oriented technology of CDIO training and graduate’s competence model, and implementation tool is information - education milieu. Information - education milieu allows implement adaptive, in compliance with production requirements, knowledge trend planning and knowledge content forming both for specialty degree programs disciplines and individual training trajectory, using for those aims the smart-contract.For the discipline «Technologies of processing the distributed applications» there have been shown examples of using the technologies on modeling the knowledge, connected with designing the real time systems of parallel and distributed applications, where as a project there has been used the banking system.The methodology’s software implementation has been fulfilled in the form of a web-application and currently it is going through approbation at the chair «Computer and software engineering» of «Turan» university.","PeriodicalId":318915,"journal":{"name":"2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132264072","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":"Introduction of Artificial Intelligence as the Basis of Modern Online Education on the Example of Higher Education","authors":"A. Syzdykbayeva, Aigerim Baikulova, R. Kerimbayeva","doi":"10.1109/SIST50301.2021.9465974","DOIUrl":"https://doi.org/10.1109/SIST50301.2021.9465974","url":null,"abstract":"The article deals with the process of awareness and acceptance of artificial intelligence in the educational process of higher education during the quarantine period. The state of the teacher is considered through the prism of the model of stages of experiencing grief by E. Kubler-Ross. This demonstrates the diversity and complexity of the transition to distance (online) learning. The genesis of the development and the role of information technologies based on artificial intelligence in education at the present stage is determined. Based on research by D. Tatar, J. Roschelle, P. Vahey, W. R. Penuel determined that the highest peak of the development of artificial intelligence and its active implementation in educational technologies refers to the period from 1999 to 2019. The authors highlight the approaches of informatization of the university. The Abai KazNPU has defined a way to build up the integrated digital management system of the university through the univer system. Artificial intelligence programs are highlighted: adaptive and personalized learning, automatic assessment, intermediate learning interval, chatbot, virtual assistants, proctoring and gamification. The authors analyze their own experience of implementing and further actively using artificial intelligence techniques and technologies using the Google Classroom, Kahoot, and Lingualeo platforms in the teaching process. The article presents the results of a survey among the university teaching staff to identify the degree of job satisfaction in the conditions of distance learning. The results of the survey for the autumn half-year of 2020-2021 showed that artificial intelligence is becoming a full-fledged participant in the educational process and occupies a central place in the process of intellectualization of society and the development of the education system as a whole. The progress and technological effectiveness of this process cannot be stopped. It was decided to introduce the elective discipline \"Artificial Intelligence\" at the bachelor's and master's level, with the continuity of the formed competencies for advanced training in artificial intelligence in the field of educational technologies.","PeriodicalId":318915,"journal":{"name":"2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114868645","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":"The Optimized Distance Calculation Method with Stereo Camera for an Autonomous Tomato Harvesting","authors":"Z. Buribayev, T. Merembayev, Y. Amirgaliyev, T. Miyachi","doi":"10.1109/SIST50301.2021.9465944","DOIUrl":"https://doi.org/10.1109/SIST50301.2021.9465944","url":null,"abstract":"An accurate estimation of the distance between the robot and the respective object is highly demanded in the robotics field. Proximity sensors such as laser scanners and sonar are mainly used to calculate distance. This research paper proposes a pair of Web cameras for distance measurement, by using stereo vision. A comparison of the accuracy of the calculations was done for 3 zones: left, right and center. This separation allows identifying possible distortion or camera failure at the edge of the image. As a result of the research, an accuracy of 71.939% was achieved. Also defined parameters which can help to improve the precision of object coordinates in 3D.","PeriodicalId":318915,"journal":{"name":"2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117009213","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":"Deciphering Wiener and Ashby black box in the problem of dynamic identification and automation of metallurgical process","authors":"Zhanbay Sh. Uzdenbayev, Ayazhan Ayaganova, Zhandos Zh. Uzdenbayev","doi":"10.1109/SIST50301.2021.9465960","DOIUrl":"https://doi.org/10.1109/SIST50301.2021.9465960","url":null,"abstract":"Mathematical modeling of the physico – chemical phenomena dynamics of metallurgical facilities with the purpose of further calculation of values of control parameters is knowledge-intensive, and cost is sometimes higher than the benefit from the use of these models. Thus powerful computing resources of automation are used only partially – mainly for acquisition, display, storage of information and simple, single-linked control tasks.The paper proposes a mathematical apparatus for modeling the dependence of the studied output parameter on the set of input parameters affecting it, independent of the parameters of internal physical and chemical transformations of the metallurgical process. Explanations are given by the example of a specific facility. The maximum discrepancy between the model and the initial data by the results of the study was 0.18%.","PeriodicalId":318915,"journal":{"name":"2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116009878","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":"Extraction of Bolshaya Saryoba Lake Features Using Sentinel – 2A Imagery","authors":"D. Shaimerdenov, D. Koshanova, A. Zakirova","doi":"10.1109/SIST50301.2021.9465924","DOIUrl":"https://doi.org/10.1109/SIST50301.2021.9465924","url":null,"abstract":"Satellite remote sensing has been widely used over the last 10 years for lake monitoring. Researchers have proposed a range of surface water extraction techniques, among which index-based methods are common due to their simplicity and cost-effectiveness. In this study, the following water indices were employed namely, normalized difference vegetation index (NDVI), Normalized difference moisture index (NDMI), Modified Normalized Difference Water Index (MNDWI), and their changes using Sentinel – 2 A images. The values of the NDVI and NDMI indices were determined, allowing us to evaluate and conduct a time analysis of the state of the territory adjacent to the lake and the objects located on it (species composition, closeness, vegetation condition, heterogeneity of the degree of moisture of vegetation and soils, exposure of slopes and surface angles, soil colour under sparse vegetation, etc.). Moreover, ISODATA unsupervised classification algorithm was applied to create the lake surface mask. As a result, drastic changes in the lake in terms of size were identified.","PeriodicalId":318915,"journal":{"name":"2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125044405","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}