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

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Knowledge Testing System Base on Machine Learning and Fuzzy Systems 基于机器学习和模糊系统的知识测试系统
2022 International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2022-04-28 DOI: 10.1109/SIST54437.2022.9945755
R. Ponomarenko, Yana Bondarenko
{"title":"Knowledge Testing System Base on Machine Learning and Fuzzy Systems","authors":"R. Ponomarenko, Yana Bondarenko","doi":"10.1109/SIST54437.2022.9945755","DOIUrl":"https://doi.org/10.1109/SIST54437.2022.9945755","url":null,"abstract":"The paper discusses a method for constructing systems for assessing the quality of knowledge, in particular testing systems, based on neural networks and fuzzy inference systems in order to improve the accuracy and objectivity of the assessment. A corresponding three-layer architecture of the estimation model has been developed. An evaluation system is proposed based on two-criteria evaluation of (correct and incorrect) answers with further processing of the obtained data by fuzzy inference methods to obtain the final result. A two-stage approach was developed to improve the quality of knowledge control, the use of a neural network allows you to find relationships between a set of answers and the found degrees of correct and incorrect answers. The system allows you to comprehensively consider the test, linking knowledge on the topics studied, thereby assessing the overall level of the student.","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":"117320774","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
Regression Approach to Lossles Compression Algorithm for Hyperspectral Images 高光谱图像损失压缩算法的回归方法
2022 International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2022-04-28 DOI: 10.1109/SIST54437.2022.9945817
Assiya Sarinova, A. Neftissov, S. Bronin
{"title":"Regression Approach to Lossles Compression Algorithm for Hyperspectral Images","authors":"Assiya Sarinova, A. Neftissov, S. Bronin","doi":"10.1109/SIST54437.2022.9945817","DOIUrl":"https://doi.org/10.1109/SIST54437.2022.9945817","url":null,"abstract":"At present, there is a significant increase in interest in solving applied problems using hyperspectral aerospace images obtained from satellites of spacecraft for remote sensing of the Earth. Hyperspectral images show significant spectral correlation, the use of which is critical for compression. In this paper, we propose an efficient approach to hyperspectral image compression using a lossless regression algorithm. The main idea of the proposed transformation is an algorithm with finding pairs of correlated channels and then creating lossless transformed blocks using regression analysis, which makes it possible to reduce the size of the aerospace image channels and transform them before compression.","PeriodicalId":207613,"journal":{"name":"2022 International Conference on Smart Information Systems and Technologies (SIST)","volume":"2 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":"123975020","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
Application of GLCM Textural Based Method With Sentinel-1 Radar Remote Sensing Data for Building Damage Assessment 基于GLCM纹理的Sentinel-1雷达遥感数据在建筑损伤评估中的应用
2022 International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2022-04-28 DOI: 10.1109/SIST54437.2022.9945758
Asset Akhmadiya, N. Nabiyev, K. Moldamurat, Aigerim Kismanova, B. Prmantayeva, S. Brimzhanova
{"title":"Application of GLCM Textural Based Method With Sentinel-1 Radar Remote Sensing Data for Building Damage Assessment","authors":"Asset Akhmadiya, N. Nabiyev, K. Moldamurat, Aigerim Kismanova, B. Prmantayeva, S. Brimzhanova","doi":"10.1109/SIST54437.2022.9945758","DOIUrl":"https://doi.org/10.1109/SIST54437.2022.9945758","url":null,"abstract":"Comparison of other satellite data, there are fewer scientific papers about building damage assessment using Sentinel-1 data. Because many scientists ignore it due to middle-spatial resolution, the general trend is using high-resolution data (TerraSAR-X, COSMO-SkyMed, etc.) for that purpose. It is related to the problem that middle-resolution data has lower overall accuracy than high resolution. Sentinel-1 data is more freely available than others. Pre-event data is always available. The application of texture-based change detection techniques can be used to improve overall accuracy. Better separation of completely destroyed and intact buildings was achieved using homogeneity and dissimilarity textural parameters computed from the grey-level co-occurrence matrices (GLCM). The backscattering coefficients with dual polarization (VV, VH) and the coherence coefficient (pre-earthquake and coseismic data) were exploited for this study. The best relevant GLCM textural parameter variables were determined to extract open areas (without buildings), and damaged and untouched buildings in urban areas using supervised classification methods. In this research work, the overall accuracy was achieved at 0.77. The producer's accuracy for open areas is 0.84, for the case of a damaged building 0.85, and for untouched building 0.64. Beijing-2 high-resolution optical data and Copernicus Emergency Management Service data were exploited for that classification. Amatrice town as a study area chose for investigation as an example that was significantly affected by the earthquake in Central Italy in 2016.","PeriodicalId":207613,"journal":{"name":"2022 International Conference on Smart Information Systems and Technologies (SIST)","volume":"20 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":"129571584","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
Evaluation of Independent Work of Students in Distance Learning Based on Eutagogy 基于语用学的远程教育学生自主作业评价
2022 International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2022-04-28 DOI: 10.1109/SIST54437.2022.9945719
A. Seitova, D. Issabayeva, L. Rakhimzhanova, U. Abdigapbarova, S. Issabayeva
{"title":"Evaluation of Independent Work of Students in Distance Learning Based on Eutagogy","authors":"A. Seitova, D. Issabayeva, L. Rakhimzhanova, U. Abdigapbarova, S. Issabayeva","doi":"10.1109/SIST54437.2022.9945719","DOIUrl":"https://doi.org/10.1109/SIST54437.2022.9945719","url":null,"abstract":"This study aims to identify the impact of distance learning and eutagogy theory on enhancing student independent work based on the digital footprint. In order to assess the time and quality of independent work based on the students' digital footprint, a set of criteria and indicators based on eutagogy is determined, quantitative indicators are selected, and a methodology is proposed that can be used to assess the progress of each student. The article includes algorithms for assessing the success of independent work based on empirical data and learning analytics. The developed algorithms make it possible to interpret digital footprints of the performance of independent work in distance learning, evaluate its success and adjust the student's learning trajectory.","PeriodicalId":207613,"journal":{"name":"2022 International Conference on Smart Information Systems and Technologies (SIST)","volume":"67 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":"129127355","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
Method for Determining the Similarity of Text Documents for the Kazakh language, Taking Into Account Synonyms: Extension to TF-IDF 考虑同义词的哈萨克语文本文档相似度的确定方法:TF-IDF的扩展
2022 International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2022-04-28 DOI: 10.1109/SIST54437.2022.9945747
Bakhyt Bakiyev
{"title":"Method for Determining the Similarity of Text Documents for the Kazakh language, Taking Into Account Synonyms: Extension to TF-IDF","authors":"Bakhyt Bakiyev","doi":"10.1109/SIST54437.2022.9945747","DOIUrl":"https://doi.org/10.1109/SIST54437.2022.9945747","url":null,"abstract":"The task of determining the similarity of text documents has received considerable attention in many areas such as Information Retrieval, Text Mining, Natural Language Processing (NLP) and Computational Linguistics. Transferring data to numeric vectors is a complex task where algorithms such as tokenization, stopword filtering, stemming, and weighting of terms are used. The term frequency - inverse document frequency (TF-IDF) is the most widely used term weighting method to facilitate the search for relevant documents. To improve the weighting of terms, a large number of TF-IDF extensions are made. In this paper, another extension of the TF-IDF method is proposed where synonyms are taken into account. The effectiveness of the method is confirmed by experiments on functions such as Cosine, Dice and Jaccard to measure the similarity of text documents for the Kazakh language.","PeriodicalId":207613,"journal":{"name":"2022 International Conference on Smart Information Systems and Technologies (SIST)","volume":"38 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":"126947385","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
Application of Deep Convolutional Neural Network in Image Recognition 深度卷积神经网络在图像识别中的应用
2022 International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2022-04-28 DOI: 10.1109/SIST54437.2022.9945797
Makhzhanova Aruzhan, Beibitkyzy Alina
{"title":"Application of Deep Convolutional Neural Network in Image Recognition","authors":"Makhzhanova Aruzhan, Beibitkyzy Alina","doi":"10.1109/SIST54437.2022.9945797","DOIUrl":"https://doi.org/10.1109/SIST54437.2022.9945797","url":null,"abstract":"This article studies the use of a convolutional neural network for image recognition. Since neural networks at this time are widely used in recognizing computer images and have good results, further study and use of the neural network have tremendous relevance. In this article, we have made an analysis of the accuracy of image recognition using two different optimizers Adam and RMSProp, where the pictures of the authors of the article was presented as input data and several steps were performed for the implementation, which the article describes in detail. This article focuses on the RMSProp and Adam optimizers as they are adaptive and work in a large number of scenarios. The results in the form of tables and graphs were presented.","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":"128798724","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
Synthesis of Bases of Boolean Functions Based on Post Classes 基于后类的布尔函数基的综合
2022 International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2022-04-28 DOI: 10.1109/SIST54437.2022.9945813
Ihor Mych, Volodymyr Nikolenko, Olena Vartsaba, Vadym Dynys, A. Kuchansky
{"title":"Synthesis of Bases of Boolean Functions Based on Post Classes","authors":"Ihor Mych, Volodymyr Nikolenko, Olena Vartsaba, Vadym Dynys, A. Kuchansky","doi":"10.1109/SIST54437.2022.9945813","DOIUrl":"https://doi.org/10.1109/SIST54437.2022.9945813","url":null,"abstract":"The paper introduced the concept of Post's characteristic of Boolean functions. Five-dimensional Post's cube has been constructed. All empty Post's classes are described, and nonempty classes form the Post's lattice. An algorithm of finding the base's systems of Boolean function has been presented, and Post's characteristics have been found. Formulas for calculating the number of two-functional, three-functional, and four-functional bases of an arbitrary system of Boolean functions are obtained. The results for the class of Boolean functions arnost equals two, three, and four, indicating the exact number of one-functional, two-functional, three-functional, and four-function bases. This paper uses Boolean functions in tables, graphs, n-dimensional cubes. Boolean functions are also presented analytically based on formulas of Boolean algebras. This is required to find of bases of Boolean functions with Post's characteristic, performed by a developed software package to analyze Boolean functions.","PeriodicalId":207613,"journal":{"name":"2022 International Conference on Smart Information Systems and Technologies (SIST)","volume":"7 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":"126503109","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
Optimization Model in Transportation Logistics Management Problems 运输物流管理中的优化模型问题
2022 International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2022-04-28 DOI: 10.1109/SIST54437.2022.9945777
S. Chernov, S. Titov, Liudmyla Chernova, L. Chernova, Antonina Trushliakova
{"title":"Optimization Model in Transportation Logistics Management Problems","authors":"S. Chernov, S. Titov, Liudmyla Chernova, L. Chernova, Antonina Trushliakova","doi":"10.1109/SIST54437.2022.9945777","DOIUrl":"https://doi.org/10.1109/SIST54437.2022.9945777","url":null,"abstract":"This paper presents development of a mathematic optimization model in transportation logistics management on example of supplying goods or resources (e.g.: wheat and sunflower seed) to the Black Sea ports on the Ukrainian shore to constitute a regular lot for a ship. In fact, it is possible to reduce the shipment value optimization mathematic model to be stated in three-index problems of transportation. Nowadays we are familiar with stringent, as well as with approximated ways to solve these problems of logistics. In view of numerous variables contained within a true-world problem, we elaborated a program for solving this problem under environment of a Maple® software pack of symbol mathematics. The present paper incorporates a program source code abstract along with solving model problems together with recommended subsequent perfection to the model given.","PeriodicalId":207613,"journal":{"name":"2022 International Conference on Smart Information Systems and Technologies (SIST)","volume":"503 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":"121459683","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
Scientific and Methodological Approaches to Risk Management of Clean Energy Projects Implemented in Ukraine on the Terms of Public-Private Partnership 基于公私伙伴关系在乌克兰实施的清洁能源项目风险管理的科学和方法论方法
2022 International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2022-04-28 DOI: 10.1109/SIST54437.2022.9945809
I. Chupryna, R. Tormosov, D. Abzhanova, D. Ryzhakov, V. Gonchar, Natali Plys
{"title":"Scientific and Methodological Approaches to Risk Management of Clean Energy Projects Implemented in Ukraine on the Terms of Public-Private Partnership","authors":"I. Chupryna, R. Tormosov, D. Abzhanova, D. Ryzhakov, V. Gonchar, Natali Plys","doi":"10.1109/SIST54437.2022.9945809","DOIUrl":"https://doi.org/10.1109/SIST54437.2022.9945809","url":null,"abstract":"The article considers the conceptual basis of public-private partnership in the field of clean energy projects. It is determined that clean energy projects correspond as much as possible to concession and lease forms of public-private partnership cooperation. The risks of public-private partnership in the field of sustainable energy development are analyzed. Peculiarities of risk assessment that arise in the process of public-private partnership are studied. A matrix of risks of clean energy projects within the framework of public-private partnership, which are objective and subjective, has been developed. A model of reasonable distribution of PPP risks by adjusting key indicators of clean energy projects is proposed, which allows partners to choose the optimal forms and determine the essential terms of PPP contracts.","PeriodicalId":207613,"journal":{"name":"2022 International Conference on Smart Information Systems and Technologies (SIST)","volume":"11 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":"121598584","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
Building a Scoring Model Using the Adaboost Ensemble Model 使用Adaboost集成模型构建评分模型
2022 International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2022-04-28 DOI: 10.1109/SIST54437.2022.9945713
G. Sembina
{"title":"Building a Scoring Model Using the Adaboost Ensemble Model","authors":"G. Sembina","doi":"10.1109/SIST54437.2022.9945713","DOIUrl":"https://doi.org/10.1109/SIST54437.2022.9945713","url":null,"abstract":"In paper presents and describes modern methods of data analysis, used when using credit scoring. The obtained results of the model allow us to conclude that the classification of borrowers by credit rating can be effectively solved using the machine learning algorithm Adaboost than with the use of Gradient boosting and the standard model of logistic regression even before setting up hyperparameters. Machine learning methods were applied in the work. A correlation analysis of the data was performed to exclude interrelated predictors. The AUC and GINI values of the AdaBoost method were calculated, which show the high efficiency of the model.","PeriodicalId":207613,"journal":{"name":"2022 International Conference on Smart Information Systems and Technologies (SIST)","volume":"30 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":"133536507","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
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