2023 IEEE International Conference on Smart Information Systems and Technologies (SIST)最新文献

{"title":"Modification of the SLAM Algorithm Based on Comparative Analysis of the Algorithm for Extracting Features From Images","authors":"Dauletiya Daniyar, Turegali Amir, Zhassuzak Mukhtar, Abdirazak Zemfira, Buribayev Zholdas","doi":"10.1109/SIST58284.2023.10223518","DOIUrl":"https://doi.org/10.1109/SIST58284.2023.10223518","url":null,"abstract":"The SLAM algorithms used on inexpensive compact boards in many standalone mobile devices are not fast enough. To solve this problem, we modified the RTAB-Map method in order to increase its speed without losing the quality of the algorithm itself. One way to improve the speed of the algorithm is to replace the SIFT keypoint extraction algorithm. In this article, we made a comparative analysis of methods for identifying local features from images.","PeriodicalId":367406,"journal":{"name":"2023 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121749456","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":"Innovative Communication Technologies as a Factor in the Development of the Post-War Economy of Ukraine","authors":"K. Lavrukhina, V. Tytok, H. Shpakova, T. Ivanova, O. Shevchuk, A. Biloshchytskyi","doi":"10.1109/SIST58284.2023.10223515","DOIUrl":"https://doi.org/10.1109/SIST58284.2023.10223515","url":null,"abstract":"The main part of the study outlines the key strategic goals, main priorities, defines directions, mechanisms and possible options for solving the problem, contains the formulation of key measures for the practical implementation of information and communication technology ideas in the post-war reconstruction of Ukraine. An analysis of the theoretical foundations and modern applied aspects of the use of innovative communication technologies in practical activities has been carried out. A description of the main challenges and threats facing Ukraine, adequate answers to which are possible under the conditions of strengthening the country's innovative development.","PeriodicalId":367406,"journal":{"name":"2023 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126794035","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":"Unlocking the Power of Blockchain for Safe and Secure Electronic Personal Information and Health Record Management with the Use of Cloud Storage","authors":"Md. Saifur Rahman, Fouzia Faria Tura, Shafayet Mahamud","doi":"10.1109/SIST58284.2023.10223495","DOIUrl":"https://doi.org/10.1109/SIST58284.2023.10223495","url":null,"abstract":"Electronic Personnel Record (EPR) plays an important role in our lives. However, in most cases they are partitioned and stored in different databases owned by different institutions (hospitals, laboratories, clinics, offices, etc.) that are geographically dispersed in one or more countries. Due to this distributed and diversified nature of the various systems associated with accessing, sharing, protecting and tracking this personal data is difficult. Also, regular users cannot control their own private EPR. Recent scandals involving misuse of personal data by social media platforms and numerous breaches of user identity data have raised concerns about the technical, commercial, and ethical aspects of user data privacy and security. In this article, we introduced a management system architecture that is responsible for governing all electronic personal information and health record (EPIHR) of individual persons based on blockchain. Our proposed system architecture utilizes the tamper-proof attribute of the blockchain as well as overcomes the shortcomings of cloud-based data storage systems.","PeriodicalId":367406,"journal":{"name":"2023 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127463687","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":"Detection of Glaucoma Eye Disease Using Deep Learning","authors":"Geetanjali Gutte, Bhavana Khaire, V. Harne, Rameez Shamalik, Srinivas Chippalkatti","doi":"10.1109/SIST58284.2023.10223519","DOIUrl":"https://doi.org/10.1109/SIST58284.2023.10223519","url":null,"abstract":"The motivation behind developing the “Glaucoma Eye Disease System' is that glaucoma disease does not have symptoms. Today, glaucoma is the leading cause of blindness. It damages optic nerve of eye. Glaucoma changes the thickness of the retinal nerve fiber layer. An increase in pressure inside the optic nerve head causes glaucoma. Glaucoma is an eye disease that is incurable. Manual glaucoma diagnosis is a time-consuming process. Also, this process is less accurate. Early-stage glaucoma disease detection may prevent complete eye vision loss. The deep learning process is useful in terms of image segmentation and classification. A convolutional neural network can extract features from an image to classify it as having glaucoma or being healthy. This system reduces manpower and complexity in glaucoma diagnosis. We trained our model using the ORIGA dataset and performed cross-validation on the same dataset. The model was tested on 65 images and achieved an accuracy of 89%.","PeriodicalId":367406,"journal":{"name":"2023 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128296898","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":"System for Water and Electricity Consumption Prediction in Smart Cities Using ML","authors":"N. Zhakiyev, R. Omirgaliyev, I. Bapiyev, Naziya Baisakalova, Samat Tankeyev","doi":"10.1109/SIST58284.2023.10223522","DOIUrl":"https://doi.org/10.1109/SIST58284.2023.10223522","url":null,"abstract":"The issue of finding new solutions for efficient water and electricity consumption is urgent for Smart Cities. Such solutions include the use of various machine learning models to predict the consumption of these resources. In this research paper, time series models for predicting electricity consumption, Decision tree, and Random Forest models for predicting water consumption were developed. There has also been a growing increase in the use of smart sensors to be able to track and manage water data, which in turn contributes to smart resource management.","PeriodicalId":367406,"journal":{"name":"2023 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127218357","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":"A Case Study of Machine Learning Comparisons for Predicting Apartment Prices in Astana","authors":"E. Zhantileuov, A. Smaiyl, A. Aibatbek, Samat Kassymkhanov","doi":"10.1109/SIST58284.2023.10223463","DOIUrl":"https://doi.org/10.1109/SIST58284.2023.10223463","url":null,"abstract":"Astana, the capital city of Kazakhstan, has undergone rapid urbanization and economic development in recent years. With this growth comes an increased demand for housing, leading to the need for more accurate and efficient methods for predicting house prices. In this paper, we aim to compare the performance of five popular regression algorithms for predicting house prices in Astana: linear regression, decision trees, random forest, XGBoosting, and CatBoosting. We collected a dataset of housing prices in Astana, including information on the location, size, age, and other relevant features of the properties. We then applied each of the six algorithms to the dataset and evaluated their performance using various metrics such as mean squared error (MSE), mean absolute error (MAE), and R2 score. Our results showed that XGBoosting and CatBoosting algorithms outperformed the other methods in terms of prediction score but it overfits a data. The decision trees and random forest algorithms performed well on training set but there did not generalize the data. Linear regression performed the lowest score comparing with other algorithms, but it generalizes the data. This study provides valuable insights for policymakers and real estate developers in Astana, as well as for researchers and practitioners in the field of machine learning. Our findings suggest that advanced machine learning techniques, such as XGBoosting and CatBoosting, can significantly improve the accuracy of house price prediction and aid in informed decision-making.","PeriodicalId":367406,"journal":{"name":"2023 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133616873","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":"Study of the Adequacy of the Bim Model in the Survey of Damaged Building Objects","authors":"V. Rashkivskyi, R. Demianenko","doi":"10.1109/SIST58284.2023.10223588","DOIUrl":"https://doi.org/10.1109/SIST58284.2023.10223588","url":null,"abstract":"The article examines approaches to determining the adequacy of the BIM model when surveying construction sites that have suffered as a result of hostilities. In particular, it has been determined that the inspection of construction objects and structures damaged during aggressive influence, in particular combat operations, requires the development of special measures for conducting the inspection. The process of the actual condition of the construction structures of the structures under investigation, taking into account safety measures, including the danger of collapse of structures or structures, the presence of explosive substances and means on the territory of the survey, the presence of harmful construction materials on the sites, etc., requires significant attention. Modern methods of inspection of buildings and structures determine the periodicity of work, which usually takes into account the specifics of the object, its actual condition and expert recommendations of a specialist. Such approaches are justified under normal operating conditions of construction objects, but are not effective in the presence of variable factors caused by external influences, such as military operations or natural disasters. Analysis of the state of buildings and structures, as well as their structures, is proposed to be carried out discretely to form a picture of changes in their state over time. The degree of discreteness is determined by the expert. Conducting an initial survey of building structures using remote monitoring allows you to form an information database about the state of these structures. Means of remote monitoring, in particular, UAVs, make it possible to obtain the accuracy of studies of the state of structures within 20 mm. Such values are not exhaustive, they allow to determine only generalized parameters, for example, the scope of work, the implementation of monitoring of the execution of related works, etc., therefore, at present, the search for methods and means of remote monitoring is being carried out to increase the accuracy of measurements for the study of cracking of structures, exact deviations of structures from design, etc. Modern software tools make it possible to create intermediate 3D models of objects using photogrammetry methods during geodetic research. Comparative analysis of simulation modeling of construction objects and their cartographic analysis allow to adjust the BIM model of the object for the development of measures to restore its operational state or disposal or conservation.","PeriodicalId":367406,"journal":{"name":"2023 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131497422","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":"Disposal of Solid Household Waste Using Computer Vision","authors":"Kaldybayev Nurkadem, N. Karymsakova, M. Mansurova","doi":"10.1109/SIST58284.2023.10223538","DOIUrl":"https://doi.org/10.1109/SIST58284.2023.10223538","url":null,"abstract":"Practical significance of the study: In the XXI century, the problem of ecology is especially relevant. Humanity has gradually come to understand that the planet we live on needs to be protected not only in terms of nutrition and living conditions. The main sources of pollution are household waste, the amount of which increases over time. This is due to population growth. Then the consumption increases. In this regard, automation of sorting of household waste is of great importance. One of the most important problems is the sorting of waste. Now many countries use manual sorting. First, it generates mass infections and different types of diseases. Secondly, in the modern world, where it is possible to create artificial intelligence that could do this whole process, people work everywhere. By creating artificial intelligence to decrease the number of personnel, it is also possible to create the best ecosystem of all time.","PeriodicalId":367406,"journal":{"name":"2023 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134362959","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":"Research of the Information Security Audit System in Organizations","authors":"Aasso Ziro, S. Toibayeva, S. Gnatyuk, Azamat Imanbayev, M. Iavich, Zhanshuak Zhaybergenova","doi":"10.1109/SIST58284.2023.10223557","DOIUrl":"https://doi.org/10.1109/SIST58284.2023.10223557","url":null,"abstract":"The field of information security is constantly evolving, and new threats appear every day. To ensure that organizations remain protected from these threats, it is important to have a reliable information security audit system. The purpose of this study is to study the current state of information security audit systems in organizations and identify the best practices for the implementation and maintenance of these systems. In the course of the study, various methods and methods of conducting an information security audit will be analyzed, security analysis tools and information security tools.","PeriodicalId":367406,"journal":{"name":"2023 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131652095","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":"Principles of Circular Economy as a Driver of Development Projects","authors":"Sergiy Bushuyev, N. Bushuyeva, A. Ivko, D. Bushuiev, V. Bushuieva, Dmytro Iazykov","doi":"10.1109/SIST58284.2023.10223513","DOIUrl":"https://doi.org/10.1109/SIST58284.2023.10223513","url":null,"abstract":"The integration of information technologies is viewed through the lens of the circular economy principles, which encompass the creation of a comprehensive conceptual model for managing circular economy projects. This model emphasizes three levels of orgainsational management and ensures strategic sustainability. To illustrate this, we explore a business model that focuses on establishing an energy-independent agrarian-industrial complex based on circular economy principles. This model encompasses the entire infrastructure necessary for creating such a complex, utilizing a combination of hybrid project management methodologies and innovative development programs. In addition to process models, various project management methods such as the life cycle waterfall, Agile, and others are employed. Throughout the examination of the business case, the architecture and interaction schemes between the program and its dinamic environment are defined.","PeriodicalId":367406,"journal":{"name":"2023 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121359374","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}