2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)最新文献_第5页

Stochastic Pseudo-Spin Neural Network with Tridiagonal Synaptic Connections 具有三对角突触连接的随机伪自旋神经网络

2021 IEEE International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2021-04-28 DOI: 10.1109/SIST50301.2021.9465998

R. Peleshchak, V. Lytvyn, I. Peleshchak, V. Vysotska

引用次数: 1

Information System for Vocational Guidance, Employment and the Forecasting of Labor Demand: The Case of Kazakhstan 职业指导、就业与劳动力需求预测信息系统:以哈萨克斯坦为例

2021 IEEE International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2021-04-28 DOI: 10.1109/SIST50301.2021.9465984

Y. Turganbayev, G. Adilgazinov, Y. Barabanova, A. Zhakupov, G. Zhukibayeva

{"title":"Information System for Vocational Guidance, Employment and the Forecasting of Labor Demand: The Case of Kazakhstan","authors":"Y. Turganbayev, G. Adilgazinov, Y. Barabanova, A. Zhakupov, G. Zhukibayeva","doi":"10.1109/SIST50301.2021.9465984","DOIUrl":"https://doi.org/10.1109/SIST50301.2021.9465984","url":null,"abstract":"This article proposes an information system offering the functions of vocational guidance and advising, facilitating the search for job and educational institutions for study and retraining and forecasting demand for a range of professions. The system is distinguished from existing ones by its detail and novel approach, and its ability to assess trends in the labor market. In particular, the system can make a forecast of the need for specialists in the regions of Kazakhstan using a \"top-down\" approach and data on socio-economic development of the country. Another important function of the system is the design of professiograms for the vocations most in demand in Kazakhstan’s labor market. The system also contains the vocational guidance testing module which consists of several independent tests targeted at different groups of population. The job searching module connects potential employers with applicants through vacancy and CV posting options. The educational institution module provides information on available educational programs of different levels.","PeriodicalId":318915,"journal":{"name":"2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"24 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":"128641900","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

Using item response theory in machine learning algorithms for student response data 将项目反应理论应用于机器学习算法中获取学生反应数据

2021 IEEE International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2021-04-28 DOI: 10.1109/SIST50301.2021.9465896

Merembayev T, Amirgaliyeva S, Kozhaly K

引用次数: 1

Speaker Recognition from Spectrogram Images 基于谱图图像的说话人识别

2021 IEEE International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2021-04-28 DOI: 10.1109/SIST50301.2021.9465954

S. Kadyrov, Cemil Turan, Altynbek Amirzhanov, Cemal Ozdemir

引用次数: 6

Digital Maturity and Readiness Model for Kazakhstan SMEs 哈萨克斯坦中小企业数字化成熟度和准备度模型

2021 IEEE International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2021-04-28 DOI: 10.1109/SIST50301.2021.9465890

Assel Yezhebay, Venera Sengirova, Dastan Igali, Y. Abdallah, E. Shehab

{"title":"Digital Maturity and Readiness Model for Kazakhstan SMEs","authors":"Assel Yezhebay, Venera Sengirova, Dastan Igali, Y. Abdallah, E. Shehab","doi":"10.1109/SIST50301.2021.9465890","DOIUrl":"https://doi.org/10.1109/SIST50301.2021.9465890","url":null,"abstract":"The implementation of digital transformation features is highly required to provide sustainable growth and a high level of competitiveness. One of the essential components of the ensuring of SMEs readiness for digital transformation is a digital maturity model that can assess the maturity level based on the features of SMEs in Kazakhstan. This study is focused on the development of digital maturity and readiness model for Kazakhstan SMEs by revision of currently existing digital maturity models, defining the significant features of SMEs in Kazakhstan and developing dimensions, sub-dimensions and levels of the model. The proposed model consists of 6 dimensions and 15 sub-dimensions that are sufficient to assess major dimensions involved in digital transformation. The six layers are used to define the level of digital readiness. The developed model was validated through a survey conducted among 12 managers of the company with approximately 150 employees. The model allowed identifying significant areas for improvement and provided the recommendations for movement to the next maturity level.","PeriodicalId":318915,"journal":{"name":"2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"15 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":"115495609","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

Qualification and Appointment of Staff for Project Work in Implementing IT Systems Under Conditions of Uncertainty 在不确定条件下实施IT系统的项目工作人员的资格和任命

2021 IEEE International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2021-04-28 DOI: 10.1109/SIST50301.2021.9465897

M. Gladka, O. Kravchenko, Y. Hladkyi, Sholpan Borashova

{"title":"Qualification and Appointment of Staff for Project Work in Implementing IT Systems Under Conditions of Uncertainty","authors":"M. Gladka, O. Kravchenko, Y. Hladkyi, Sholpan Borashova","doi":"10.1109/SIST50301.2021.9465897","DOIUrl":"https://doi.org/10.1109/SIST50301.2021.9465897","url":null,"abstract":"The main criterion for the implementation of information systems in enterprises is the quality of all project work. The quality of the whole project depends on the professionalism of the team, the competent distribution of employees to work, which corresponds to the professional qualification parameters of each representative. The article considers the problems of determining the competence of staff who are the executors of tasks on the project, algorithms for certification and assessment of staff qualifications. The matrix for the formation of an estimation of compensations of the employees who are engaged in software development, according to qualification needs of the companies whose main activity is development of software products - information systems is presented. Each member of the team meets the criteria of competence of the work for which he will be assigned, taking into account the assessments received. The main parameters of personnel evaluation are determined, which include not only the available knowledge and experience, but also the personal qualities of the employee. The algorithm of division of employees on project works in the conditions of uncertainty depending on the level of professional competence and necessary qualification values of tasks of the project is resulted. This is an important factor in the implementation of design work on modern flexible methodologies. Prospects for the development of this area in the field of project management for the implementation of information systems and the development of a subsystem for automated personnel evaluation.","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":"114495970","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: 5

Studying a Face Search Method Based On the Idea of Sparse Data Representation by Generating Random Points 基于稀疏数据表示思想的随机点人脸搜索方法研究

2021 IEEE International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2021-04-28 DOI: 10.1109/SIST50301.2021.9465986

K. Maulenov, S. Kudubayeva, A.A. Uvaliyeva

引用次数: 0

Developing Predictive Oil Well Diagnostics Based on Intelligent Algorithms 基于智能算法的油井预测诊断研究

2021 IEEE International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2021-04-28 DOI: 10.1109/SIST50301.2021.9465959

Z. Omirbekova, Daur Aktaukenov, Aslan Amangeldiyev, Abdelrahman Abdallah

引用次数: 1

Using Wavelet Transform and Machine Learning to Predict Heart Fibrillation Disease on ECG 基于小波变换和机器学习的心电预测心颤

2021 IEEE International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2021-04-28 DOI: 10.1109/SIST50301.2021.9465990

D. Akhmed-Zaki, T.S. Mukhambetzhanov, Zhannat Nurmakhanova, Z. Abdiakhmetova

{"title":"Using Wavelet Transform and Machine Learning to Predict Heart Fibrillation Disease on ECG","authors":"D. Akhmed-Zaki, T.S. Mukhambetzhanov, Zhannat Nurmakhanova, Z. Abdiakhmetova","doi":"10.1109/SIST50301.2021.9465990","DOIUrl":"https://doi.org/10.1109/SIST50301.2021.9465990","url":null,"abstract":"Processing ECG signals with high-frequency low-amplitude sections is a laborious task. Since this process is usually performed by specialists - doctors visually, the possibility of obtaining an incorrect interpretation of the ECG image is not ruled out. ECG is a method of studying the bioelectric activity of the heart. The research method is based on the graphical registration of the received bioelectric signals. In this connection, it became necessary to search for new methods for predicting signal propagation in various directions of science. The problems of extracting information from the electrophysiological signal that can not be obtained by visual analysis of the record, as well as the problems of automation of traditional algorithms of medical analysis are relevant in connection with the lack of research in this field. In this paper, we consider the approach of automatic electrocardiographic signals interpretation of cardiac valves based on the wavelet transform method. The model of the neural network of wavelet packets developed by us is used. The productivity of the constructed system was evaluated on more than 8000 samples. Test results showed that this system was effective when using wavelet transformation. The correct rate of classification was about 95.6 percent.","PeriodicalId":318915,"journal":{"name":"2021 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"40 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":"123809569","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: 7

Imitation of Achievement of Objectives in The Process of Conflict of System 制度冲突过程中目标实现的模仿

2021 IEEE International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2021-04-28 DOI: 10.1109/SIST50301.2021.9465948

M. Y. Babich, M. Butaev, A. Malygin, K. Sauanova, S. Sagyndykova

引用次数: 0