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Analysis of Attendance Control Systems for Employees of Organizations Based on Face Recognition Algorithms 基于人脸识别算法的企业员工考勤控制系统分析
2022 International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2022-04-28 DOI: 10.1109/SIST54437.2022.9945802
Altynay Shubekova
{"title":"Analysis of Attendance Control Systems for Employees of Organizations Based on Face Recognition Algorithms","authors":"Altynay Shubekova","doi":"10.1109/SIST54437.2022.9945802","DOIUrl":"https://doi.org/10.1109/SIST54437.2022.9945802","url":null,"abstract":"In this paper, an analysis was made of the existing problems of identification and attendance control of employees, face recognition methods and existing ready-made systems that are in demand on the international market. The research work was written with the aim of determining the most effective model of a face recognition system, with the possibility of further using its results when developing such a system from scratch, with all the best characteristics that were determined as a result. research.","PeriodicalId":207613,"journal":{"name":"2022 International Conference on Smart Information Systems and Technologies (SIST)","volume":"1 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":"129344464","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}
引用次数: 0
Digitalization of Legislative Decision-making Processes in Kazakhstan on the Base of “Torelik” Information System 基于“Torelik”信息系统的哈萨克斯坦立法决策过程数字化
2022 International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2022-04-28 DOI: 10.1109/SIST54437.2022.9945742
A. Nurkey, D. Yedilkhan, A. Kosherbayeva
{"title":"Digitalization of Legislative Decision-making Processes in Kazakhstan on the Base of “Torelik” Information System","authors":"A. Nurkey, D. Yedilkhan, A. Kosherbayeva","doi":"10.1109/SIST54437.2022.9945742","DOIUrl":"https://doi.org/10.1109/SIST54437.2022.9945742","url":null,"abstract":"The article shows how the legislative system can utilize Artificial intelligence in order to nullify the powers of chairmen of the courts within the things related to the judge's decision-making processes. In Kazakhstan and worldwide, these practices are having a good impact on the judicial system. As a result, we can see that the implementation of AI as a supplementary tool of decision-making processes will differ benefits of the supervisors and judges through game theory instruments. However, we can also see that the implementation will have not only positive points but also negative aspects.","PeriodicalId":207613,"journal":{"name":"2022 International Conference on Smart Information Systems and Technologies (SIST)","volume":"1 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":"130435858","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}
引用次数: 0
Development of Intelligent Traffic Control System Project 智能交通控制系统项目开发
2022 International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2022-04-28 DOI: 10.1109/SIST54437.2022.9945759
R. Mazurenko, B. Yeremenko, V. Morozov
{"title":"Development of Intelligent Traffic Control System Project","authors":"R. Mazurenko, B. Yeremenko, V. Morozov","doi":"10.1109/SIST54437.2022.9945759","DOIUrl":"https://doi.org/10.1109/SIST54437.2022.9945759","url":null,"abstract":"The main focus of this work is solving the problems of traffic jams that occur at intersections with traffic lights. The aim of the work is to develop an intelligent traffic control system project that is able to control the flow of road transport in conditions of stochastic uncertainty. The basic information about modern systems of automatic control of automobile streams of various kinds is given. A conceptual model of an intelligent traffic control system project is proposed. The process of formalization of input and output data is shown in the example of one of the most common types of 4-way intersections. The practical significance of the work is seen in the fact that the described system is able to provide updates on the road situation in real-time.","PeriodicalId":207613,"journal":{"name":"2022 International Conference on Smart Information Systems and Technologies (SIST)","volume":"23 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":"132944603","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}
引用次数: 1
Composite Citizen: an Assessment Framework for Smart City Citizen Participation Management 复合型公民:智慧城市公民参与管理的评估框架
2022 International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2022-04-28 DOI: 10.1109/SIST54437.2022.9945807
B. Mendybayev
{"title":"Composite Citizen: an Assessment Framework for Smart City Citizen Participation Management","authors":"B. Mendybayev","doi":"10.1109/SIST54437.2022.9945807","DOIUrl":"https://doi.org/10.1109/SIST54437.2022.9945807","url":null,"abstract":"At this stage of urban development, citizen participation becomes a key challenge for cities that implement the Smart City concept. Despite the variety of Smart City ratings and evaluation tools, there is still little success in stakeholder engagement monitoring. There is an obvious need to expand the Smart City progress assessment system. In addition to the widely used global and national ratings, it is argued that proper assessing of citizen participation brings transparency and increases the human-centricity of the city. This paper provides a theoretical basis for assessing the involvement of citizens in the development of the city, justifies the expediency of expanding the scale of citizen involvement, and uses the concept of a “composite” citizen to monitor the effectiveness of implementing the Smart City concept. The authors argue that citizen participation and democratization of decision-making processes should be incorporated into the state digital development programs plans to implement the Smart City concept. The applied significance of the assessment tool is demonstrated; in particular, the need to include the principles of citizen involvement and democratization of decision-making processes in state digital development programs and plans for implementing the Smart City concept is proved. The recommended framework provides city managers and policymakers with recommendations on selecting indicators, structuring data, and interpreting them for efficient urban development.","PeriodicalId":207613,"journal":{"name":"2022 International Conference on Smart Information Systems and Technologies (SIST)","volume":"45 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":"133425310","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}
引用次数: 3
The Comparative Analysis of Machine Learning Models for Quality Assessment of Textual Academic Works 文本学术著作质量评估的机器学习模型比较分析
2022 International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2022-04-28 DOI: 10.1109/SIST54437.2022.9945714
D. Kaibassova, M. Nurtay
{"title":"The Comparative Analysis of Machine Learning Models for Quality Assessment of Textual Academic Works","authors":"D. Kaibassova, M. Nurtay","doi":"10.1109/SIST54437.2022.9945714","DOIUrl":"https://doi.org/10.1109/SIST54437.2022.9945714","url":null,"abstract":"Grading students' written work such as papers, essay questions on exams, and laboratory reports can be a significantly time-consuming task, although becoming a common practice. One of the common problems that arise when evaluating text documents can be the low quality of the source data that does not comply with the formatting rules. This study uses a Machine Learning approach to evaluate the quality of student paper text documents. During the experiment, data were taken from several works for testing. The quality assessment indicators used in this study are the compliance of the explanatory note with the structural elements of the document. Several Machine Learning algorithms and methods are tested, such as k-nearest neighbors (kNN), Support Vector Regressor (SVR), and Random Forest, to find the best model suitable for estimation. The result of the comparison reveals that kNN shows the highest prediction accuracy while having advantages in the learning process. The learning results of all algorithms are clearly presented in tables and graphical illustrations.","PeriodicalId":207613,"journal":{"name":"2022 International Conference on Smart Information Systems and Technologies (SIST)","volume":"34 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":"133485360","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}
引用次数: 0
Android Malware Classification by CNN-LSTM 基于CNN-LSTM的Android恶意软件分类
2022 International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2022-04-28 DOI: 10.1109/SIST54437.2022.9945816
Shakhnaz Amenova, Cemil Turan, Dinara Zharkynbek
{"title":"Android Malware Classification by CNN-LSTM","authors":"Shakhnaz Amenova, Cemil Turan, Dinara Zharkynbek","doi":"10.1109/SIST54437.2022.9945816","DOIUrl":"https://doi.org/10.1109/SIST54437.2022.9945816","url":null,"abstract":"Mobile devices play a crucial role and have become an essential part of people's life particularly with online applications such as shopping, learning, mailing, etc. Android OS has continued to drive the market for other operating systems since 2012. Traditional Android malware detection methods, such as static, dynamic, hybrid analysis, or the Bayesian model, may show less accuracy to detect recent Android malware. We propose a deep learning method for Android malware detection using Convolutional Neural Network (CNN) and Long Short Term Memory (LSTM). CNN provides efficient feature extraction from data and the use of additional LSTM layers improves prediction accuracy. According to the test results, CNN-LSTM can provide reliable malware prediction in Android applications. We train and test our approach using the CICMalDroid2020 dataset. The test results show that the CNN-LSTM classifier exceeds with an accuracy of 94%.","PeriodicalId":207613,"journal":{"name":"2022 International Conference on Smart Information Systems and Technologies (SIST)","volume":"1 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":"128202018","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}
引用次数: 0
Comparative Analysis of Risk Assessment During an Enterprise Information Security Audit 企业信息安全审计中风险评估的比较分析
2022 International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2022-04-28 DOI: 10.1109/SIST54437.2022.9945804
Zhanna Alimzhanova, Akzer Tleubergen, S. Zhunusbayeva, Dauren Nazarbayev
{"title":"Comparative Analysis of Risk Assessment During an Enterprise Information Security Audit","authors":"Zhanna Alimzhanova, Akzer Tleubergen, S. Zhunusbayeva, Dauren Nazarbayev","doi":"10.1109/SIST54437.2022.9945804","DOIUrl":"https://doi.org/10.1109/SIST54437.2022.9945804","url":null,"abstract":"This article discusses a threat and vulnerability analysis model that allows you to fully analyze the requirements related to information security in an organization and document the results of the analysis. The use of this method allows avoiding and preventing unnecessary costs for security measures arising from subjective risk assessment, planning and implementing protection at all stages of the information systems lifecycle, minimizing the time spent by an information security specialist during information system risk assessment procedures by automating this process and reducing the level of errors and professional skills of information security experts. In the initial sections, the common methods of risk analysis and risk assessment software are analyzed and conclusions are drawn based on the results of comparative analysis, calculations are carried out in accordance with the proposed model.","PeriodicalId":207613,"journal":{"name":"2022 International Conference on Smart Information Systems and Technologies (SIST)","volume":"50 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":"124917565","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}
引用次数: 0
Impact of Digital Transformation on the Employees' Remote Working Performance: A Higher Institution Case Study 数字化转型对员工远程工作绩效的影响:一个高等院校的案例研究
2022 International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2022-04-28 DOI: 10.1109/SIST54437.2022.9945725
Aldiyar Salkenov, Assel Salkenova, Dastan Demeugazyyev, Elvira Aitmukhanbetova
{"title":"Impact of Digital Transformation on the Employees' Remote Working Performance: A Higher Institution Case Study","authors":"Aldiyar Salkenov, Assel Salkenova, Dastan Demeugazyyev, Elvira Aitmukhanbetova","doi":"10.1109/SIST54437.2022.9945725","DOIUrl":"https://doi.org/10.1109/SIST54437.2022.9945725","url":null,"abstract":"In recent years, humanity has made a quick advancement in digital technologies. It resulted in the continuous digital transformation of society and organizations. One of the benefits of digital transformation is the development of flexible work arrangements and remote modalities. However, the speedy acceleration of digital transformation and a swift shift to remote working have impacted employees' performance and welfare tremendously. This paper focuses on identifying the significance of digital transformation on remote employees' performance and well-being. The results obtained in this study show which aspects of employees' productivity have been negatively affected by digital transformation. This research employs the latent class analysis to evaluate the significance of digital transformation on employees' performance considering higher institution personnel.","PeriodicalId":207613,"journal":{"name":"2022 International Conference on Smart Information Systems and Technologies (SIST)","volume":"36 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":"124949414","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}
引用次数: 0
Distortions Elimination in the System of Urban Planning Using the Geospatial Data: The Case of the North Kazakhstan Region 利用地理空间数据消除城市规划系统中的失真:以哈萨克斯坦北部地区为例
2022 International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2022-04-28 DOI: 10.1109/SIST54437.2022.9945812
Tamerlan Mendybayev, Aibek Zhupankhan, B. Mendybayev
{"title":"Distortions Elimination in the System of Urban Planning Using the Geospatial Data: The Case of the North Kazakhstan Region","authors":"Tamerlan Mendybayev, Aibek Zhupankhan, B. Mendybayev","doi":"10.1109/SIST54437.2022.9945812","DOIUrl":"https://doi.org/10.1109/SIST54437.2022.9945812","url":null,"abstract":"Based on satellite data and official statistics, the analysis of the level of urbanization of the cities of Petropavlovsk, Tayynsha, Sergeevka, Bulayevo and Mamlyutka was carried out. The study results demonstrate that 4 out of 5 cities in the region do not form urban centers; they are difficult to attribute to a functional urban area. The study demonstrates significant distortions of the state planning system because of an incorrect assessment of the current level of urbanization. Also, the establishment of unattainable targets for regions' development is proved. Using technological advances and global open data, the necessity of changing the status of cities of the North Kazakhstan region and adjustments to the legislation on the administrative-territorial structure and state programs for territorial development is justified. The scientific novelty is proved by the application of a new method of assessing the level of urbanization. From a practical point of view, the need for urgent changes on existing governmental programs on territorial development is vindicated.","PeriodicalId":207613,"journal":{"name":"2022 International Conference on Smart Information Systems and Technologies (SIST)","volume":"36 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":"121630207","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}
引用次数: 2
Development of a Model for Predicting the Optimal Value for Selected Dataset Using a Web Application 使用Web应用程序预测选定数据集的最优值的模型的开发
2022 International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2022-04-28 DOI: 10.1109/SIST54437.2022.9945803
Iliyas Abduali, Aldiyar Ibragimov
{"title":"Development of a Model for Predicting the Optimal Value for Selected Dataset Using a Web Application","authors":"Iliyas Abduali, Aldiyar Ibragimov","doi":"10.1109/SIST54437.2022.9945803","DOIUrl":"https://doi.org/10.1109/SIST54437.2022.9945803","url":null,"abstract":"Data analysis tools, data visualization, and the ability to predict the optimal value or obtain the desired result are becoming more and more necessary for people. This need arises both for professional analysts, scientists, specialists who work with data daily, and for people who do not have such deep knowledge to work with data. In this regard, we studied and analyzed works that helped people in solving emerging problems when working with data. Thus, we have identified the need to create a platform that could provide the necessary tools and algorithms to resolve the issues that have arisen. Therefore, we developed a prototype web platform based on the Streamlit library and developed a model to predict the optimal value based on the data received. Building the model required us to study and analyze the appropriate scientific methods. In the developed platform, the user can upload data, visualize them in the way they need, can choose machine learning methods, and receive with our algorithm a forecast to obtain the optimal value. At the end of our work, we tested the constructed model to calculate the accuracy, which showed satisfactory results. As a result, we have developed an optimal value analysis and prediction model, which currently works best for predicting real estate prices. We used this model on the developed web platform, where we use an understandable, user-friendly interface and provide the fundamental tools necessary to work with data.","PeriodicalId":207613,"journal":{"name":"2022 International Conference on Smart Information Systems and Technologies (SIST)","volume":"27 1 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":"122642263","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}
引用次数: 0
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