2023 IEEE International Conference on Smart Information Systems and Technologies (SIST)最新文献_第4页

Using Big Data Processing for Forming the Information Model of the Mining and Geological Area 利用大数据处理形成矿区地质信息模型

2023 IEEE International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2023-05-04 DOI: 10.1109/SIST58284.2023.10223545

Utepbergenov Irbulat, Vladimir Yavorskiy, Yelena Klyuyeva

引用次数: 0

Control of Deterministic Chaotic Modes in Power Systems 电力系统中确定性混沌模式控制

2023 IEEE International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2023-05-04 DOI: 10.1109/SIST58284.2023.10223493

M. Beisenbi, A. Satpayeva, S. Mussabayeva, Gulnara Mussina, M. Tlegen

引用次数: 0

IT Project Administration Tools on Creation of Information and Training Platforms 建立资讯及培训平台的资讯科技项目管理工具

2023 IEEE International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2023-05-04 DOI: 10.1109/SIST58284.2023.10223592

A. Biloshchytskyi, S. Omirbayev, A. Mukhatayev, S. Biloshchytska, S. Toxanov, A. Faizullin

{"title":"IT Project Administration Tools on Creation of Information and Training Platforms","authors":"A. Biloshchytskyi, S. Omirbayev, A. Mukhatayev, S. Biloshchytska, S. Toxanov, A. Faizullin","doi":"10.1109/SIST58284.2023.10223592","DOIUrl":"https://doi.org/10.1109/SIST58284.2023.10223592","url":null,"abstract":"the article discusses the tools for the administration of IT projects on the creation of information and training platforms. The technological component and the problem management component in the methodology of project-vector management of IT projects on the creation of educational platforms are considered. These components are considered from the standpoint of linking, existing methods and means in proj ect management to the specifics of managing educational environments. The administration tools that are best suited for IT projects of educational platforms in the context of: low performance discipline of project subjects; insufficient motivation of the project subjects; low awareness of the processes in the projects, are given. The proposed administrative tools are aimed at administrative impact on the subjects of projects in the case of deviation of the trajectory from the planned one. A model is proposed for constructing an administration vector that determines the direction of additional impact on the objects and subjects of IT projects. The construction of this vector is carried out based on two non-coincident directions of motion - planned and actual. The following subsystems of the methodology of project-vector management of educational environments are identified: provision of human resources; provision of material resources; financial support; information support; scientific and methodological support. Their characteristics are given. It is shown that technical problems in proj ects in the interpretation of the methodology of project vector management are obstacles to motion in the right direction created by random events, uncertainties, and changes. A mathematical model of the change in the magnitude of resistance in IT projects on the creation of educational platforms caused by technical problems has been developed, and methods of countering these problems have been proposed.","PeriodicalId":367406,"journal":{"name":"2023 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"26 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":"116670655","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

Deep Transformer Network and CNN Model with About 200k Parameters to Classify P300 EEG Signal 深层变压器网络与约200k参数CNN模型对P300脑电信号进行分类

2023 IEEE International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2023-05-04 DOI: 10.1109/SIST58284.2023.10223580

Zhenis Otarbay, Merey Orazaly, Yerkegul Assaiyn, Sanzhar Chagirov, Sanzhar Pernebayev, Amir Tleuzhan

{"title":"Deep Transformer Network and CNN Model with About 200k Parameters to Classify P300 EEG Signal","authors":"Zhenis Otarbay, Merey Orazaly, Yerkegul Assaiyn, Sanzhar Chagirov, Sanzhar Pernebayev, Amir Tleuzhan","doi":"10.1109/SIST58284.2023.10223580","DOIUrl":"https://doi.org/10.1109/SIST58284.2023.10223580","url":null,"abstract":"This research gathers participants“ electroencephalographic (EEG) data to build classifiers that can decode users” mental states. Although deep learning models can incorporate domain-dependent feature extraction into the classifier design, the architecture selection process for BCIs is often based on domain expertise. This paper examines whether it can build reliable classifiers for interpreting P300 event-related potentials using a systematic model selection mixed with common deep learning architectures. We report the findings of a CNNTransformer network model with 50k and 200k parameters in particular. We systematically investigate if a hybrid architecture which is Transformer and CNN, can improve the classification performance of P300 datasets. Because we would like to know how to improve the model selection process for P300 signals data analysis. To help the readers understand that the best model selection strategy with more muscular models than the existing ones may make the lives of stroke patients more convenient. If our readers are targeting to know the modern muscular deep learning architectures to analyze their recorded P300 dataset, then we recommend reading this paper.","PeriodicalId":367406,"journal":{"name":"2023 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"99 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":"115179836","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

Assessing Battery Life and Accuracy of Modern GPS Trackers for Herd Horse Breeding 评估用于牧马养殖的现代GPS跟踪器的电池寿命和准确性

2023 IEEE International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2023-05-04 DOI: 10.1109/SIST58284.2023.10223581

Asset Akhmadiya, Arman Mirmanov, N. Nabiyev, Saule Kuanyshpekovna Bostanova, T. Serikov, K. Ibrayev

引用次数: 0

Machine Learning in Action: An Analysis of its Application for Fault Detection in Wireless Sensor Networks 机器学习在行动中的应用:无线传感器网络故障检测中的应用分析

2023 IEEE International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2023-05-04 DOI: 10.1109/SIST58284.2023.10223548

A. Adamova, T. Zhukabayeva, Yerik Mardenov

{"title":"Machine Learning in Action: An Analysis of its Application for Fault Detection in Wireless Sensor Networks","authors":"A. Adamova, T. Zhukabayeva, Yerik Mardenov","doi":"10.1109/SIST58284.2023.10223548","DOIUrl":"https://doi.org/10.1109/SIST58284.2023.10223548","url":null,"abstract":"In a wireless sensor network (WSN), the presence of faulty nodes can cause serious problems such as data loss, reduced network life, and reduced accuracy of collected data. Therefore, the detection of failed nodes is an important task in the design and deployment of WSNs. The article discusses in detail the methodology for detecting faulty nodes in WSN and the classification of faults in WSN, and also presents a taxonomy of different types of failures in WSN. The mathematical model of WSN failure is considered. A methodology for detecting faulty nodes is shown, which includes data collection, feature extraction, training of machine learning models, and performance evaluation using appropriate metrics. Machine learning such as convolutional neural network (CNN), probabilistic neural network (PNN), multilayer perceptron (MLP), decision trees (DT), support vector machine (SVM), random forest (RF), Bayesian Belief Network (BBN), Gradient Boosting (GB) and Extreme Gradient Boosting (XGBoost). Further research is needed to improve the performance of these methods and explore the use of other algorithms to detect faulty nodes in a WSN.","PeriodicalId":367406,"journal":{"name":"2023 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"48 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":"128101290","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

The Future of Artificial Intelligence, Computer Vision, and Machine Learning and its Potential to Shape the Way We Live and Interact with Technology 人工智能、计算机视觉和机器学习的未来及其塑造我们生活方式和与技术互动方式的潜力

2023 IEEE International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2023-05-04 DOI: 10.1109/SIST58284.2023.10223590

Andrii Kasianchuk, Y. Honcharenko, N. Popovych, Roman Nechyporuk, Yu. M. Nechyporuk

引用次数: 0

Composite Citizens in the Smart City: Rethinking the Roles 智慧城市中的复合型市民:角色再思考

2023 IEEE International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2023-05-04 DOI: 10.1109/SIST58284.2023.10223562

Mendybayev Birlik

{"title":"Composite Citizens in the Smart City: Rethinking the Roles","authors":"Mendybayev Birlik","doi":"10.1109/SIST58284.2023.10223562","DOIUrl":"https://doi.org/10.1109/SIST58284.2023.10223562","url":null,"abstract":"Theimplementation of smart cities has undergone several main stages of development, gradually moving to the understanding that human-centricity provides estimated outputs from innovations. The analysis of the perception of changes in the role of citizens by representatives of the city authorities reveals the potential for involving citizens in the decision-making system in different but not mutually exclusive roles (data source, city planner and knowledge source). Based on the example of Kazakhstani cities, the adequacy of the proposed assessment methodology for monitoring progress and comparing the dynamics of the level of involvement of citizens in the development of a smart city is demonstrated. The results show the emergence of new characteristics that reflect the mixing of functional and structural roles of a citizen in a smart city. It is demonstrated that smart city citizens are involved in city management despite the unconscious and undocumented perception of the role of citizens by the city authorities. Thus, this work can be used to justify the need to discuss changes in the interaction of participants to expand the understanding of the use of citizens' potential in the city's interests.","PeriodicalId":367406,"journal":{"name":"2023 IEEE International Conference on Smart Information Systems and Technologies (SIST)","volume":"14 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":"129586144","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

Fine-Tuning the Wav2vec2 Model for Kazakh Speech: A Study on a Limited Corpus 哈萨克语语音的Wav2vec2模型微调:基于有限语料库的研究

2023 IEEE International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2023-05-04 DOI: 10.1109/SIST58284.2023.10223504

Kairatuly Bauyrzhan, Mansurova Madina, Ospan Assel

引用次数: 0

Development of the Smart Office Concept 智慧办公室概念的发展

2023 IEEE International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2023-05-04 DOI: 10.1109/SIST58284.2023.10223512

A. Neftissov, Assiya Sarinova, Ilyas Kazambaev, L. Kirichenko, Rostyslav Lisnevskyi, L. Rzayeva

引用次数: 0