Pub Date : 2022-09-28DOI: 10.1109/ICISCT55600.2022.10146895
A. S. Gazizulina, A. Nasirov, P. B. Parchinskiy
Anisotropy of the transport properties of GaMnAs epitaxial layers with Mn concentration of 1.4 and 2.8 at. % has been investigated by means of measurements of magnetoresistance and temperature dependence of sheet resistance. The anisotropy of magnetoresistance, measured along [110] and $[1 overline{1} 0]$ crystalline direction in high magnetic field region has been observed for both Mn concentration. The differences in temperature dependence of resistance, measured along different crystalline directions, for both above and below $T_{mathrm{C}}$ were detected. It was shown that anisotropy of transport properties of GaMnAs could be related with carriers scattering by inhomogeneous distributed Mn ions.
{"title":"Anisotropy of Carrier Transport Processes in GaMnAs Grown via Low Temperature Molecular Beam Epitaxy","authors":"A. S. Gazizulina, A. Nasirov, P. B. Parchinskiy","doi":"10.1109/ICISCT55600.2022.10146895","DOIUrl":"https://doi.org/10.1109/ICISCT55600.2022.10146895","url":null,"abstract":"Anisotropy of the transport properties of GaMnAs epitaxial layers with Mn concentration of 1.4 and 2.8 at. % has been investigated by means of measurements of magnetoresistance and temperature dependence of sheet resistance. The anisotropy of magnetoresistance, measured along [110] and $[1 overline{1} 0]$ crystalline direction in high magnetic field region has been observed for both Mn concentration. The differences in temperature dependence of resistance, measured along different crystalline directions, for both above and below $T_{mathrm{C}}$ were detected. It was shown that anisotropy of transport properties of GaMnAs could be related with carriers scattering by inhomogeneous distributed Mn ions.","PeriodicalId":332984,"journal":{"name":"2022 International Conference on Information Science and Communications Technologies (ICISCT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128686284","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}
Pub Date : 2022-09-28DOI: 10.1109/ICISCT55600.2022.10146832
U. Khamdamov, M. Umarov, Jamshid Elov, Sirojiddin Khalilov, Inomjon Narzullayev
Currently, deep learning algorithms are developing in machine learning and deep neural networks. However, deep learning algorithms still have pressing problems to solve. That is, the data set is insufficient and of low quality for machine learning. One of the ways to solve this problem is to data augmentation the dataset. There are two types of image data sets: labeled data sets and unlabeled data sets. These annotations are important for object recognition. Deep learning algorithms typically use an annotated dataset. Similarly, the You Only Look Once (YOLOv5) network model also requires an annotated dataset. In this article, we manually created annotations for each image using the labelImg software tool. Different countries have different Traffic signs. The dataset of traffic signs of Uzbekistan (UTSD) has not yet been developed. Therefore, in this work, we developed a UTSD dataset for use in a traffic sign detection and recognition system (TSDR). The UTSD dataset contains 3957 Traffic sign images belonging to 56 classes. We improved the UTSD dataset by data augmentation.
目前，深度学习算法正在机器学习和深度神经网络中发展。然而，深度学习算法仍然有迫切需要解决的问题。也就是说，对于机器学习来说，数据集是不够的，质量也很低。解决这个问题的方法之一是对数据集进行数据扩充。有两种类型的图像数据集:标记数据集和未标记数据集。这些注释对于对象识别非常重要。深度学习算法通常使用带注释的数据集。类似地，You Only Look Once (YOLOv5)网络模型也需要一个带注释的数据集。在本文中，我们使用labelImg软件工具手动为每个图像创建注释。不同的国家有不同的交通标志。乌兹别克斯坦的交通标志数据集(UTSD)尚未开发。因此，在这项工作中，我们开发了一个用于交通标志检测和识别系统(TSDR)的UTSD数据集。UTSD数据集包含属于56个类的3957个交通标志图像。我们通过数据增强改进了UTSD数据集。
{"title":"Uzbek traffic sign dataset for traffic sign detection and recognition systems","authors":"U. Khamdamov, M. Umarov, Jamshid Elov, Sirojiddin Khalilov, Inomjon Narzullayev","doi":"10.1109/ICISCT55600.2022.10146832","DOIUrl":"https://doi.org/10.1109/ICISCT55600.2022.10146832","url":null,"abstract":"Currently, deep learning algorithms are developing in machine learning and deep neural networks. However, deep learning algorithms still have pressing problems to solve. That is, the data set is insufficient and of low quality for machine learning. One of the ways to solve this problem is to data augmentation the dataset. There are two types of image data sets: labeled data sets and unlabeled data sets. These annotations are important for object recognition. Deep learning algorithms typically use an annotated dataset. Similarly, the You Only Look Once (YOLOv5) network model also requires an annotated dataset. In this article, we manually created annotations for each image using the labelImg software tool. Different countries have different Traffic signs. The dataset of traffic signs of Uzbekistan (UTSD) has not yet been developed. Therefore, in this work, we developed a UTSD dataset for use in a traffic sign detection and recognition system (TSDR). The UTSD dataset contains 3957 Traffic sign images belonging to 56 classes. We improved the UTSD dataset by data augmentation.","PeriodicalId":332984,"journal":{"name":"2022 International Conference on Information Science and Communications Technologies (ICISCT)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127063139","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}
Pub Date : 2022-09-28DOI: 10.1109/ICISCT55600.2022.10146856
Basan Elena Sergeevna, Mikhailova Vasilisa Dmitrievna, Shulika Maria Gennadievna, Lesnikov Alexander Alexandrovich, Mogilny Anton Bogdanovich
the purpose of the study is to determine a set of metrics that can be used to detect attacks on cyber-physical systems (CPS). Tasks to be solved within the framework of the research work: review of the CPS, analysis of protection for the implementation of attacks, analysis of the operation of the CPS, experimental study, and identification of identified cases in the operation of cyber-physical systems during attacks. The result allows to quickly analyze the processing of the CPS and identify anomalies in the functioning, due to the patterns of unusual behavior of the CPS, identify vulnerabilities in the system. This data will allow the development of an automated software product to ensure the protection of the system and information passing through this system.
{"title":"Defining a set of metrics for detecting attacks on Cyber-Physical Systems","authors":"Basan Elena Sergeevna, Mikhailova Vasilisa Dmitrievna, Shulika Maria Gennadievna, Lesnikov Alexander Alexandrovich, Mogilny Anton Bogdanovich","doi":"10.1109/ICISCT55600.2022.10146856","DOIUrl":"https://doi.org/10.1109/ICISCT55600.2022.10146856","url":null,"abstract":"the purpose of the study is to determine a set of metrics that can be used to detect attacks on cyber-physical systems (CPS). Tasks to be solved within the framework of the research work: review of the CPS, analysis of protection for the implementation of attacks, analysis of the operation of the CPS, experimental study, and identification of identified cases in the operation of cyber-physical systems during attacks. The result allows to quickly analyze the processing of the CPS and identify anomalies in the functioning, due to the patterns of unusual behavior of the CPS, identify vulnerabilities in the system. This data will allow the development of an automated software product to ensure the protection of the system and information passing through this system.","PeriodicalId":332984,"journal":{"name":"2022 International Conference on Information Science and Communications Technologies (ICISCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130880372","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}
Pub Date : 2022-09-28DOI: 10.1109/ICISCT55600.2022.10146935
Asfandyar Khan, M. Ordu
Ellipse-nested tubular As2Se3 chalcogenide negative curvature hollow-core fibers are numerically presented for the mid-infrared region. Confinement and total losses are calculated as low as 0.39 dB/km and 4.61 dB/km at 10.6 μm, respectively. A further investigation on the fundamental and higher-order modes showed that the proposed fiber favors the single-mode guidance.
{"title":"Hybrid cladding designs in chalcogenide negative curvature hollow-core fibers","authors":"Asfandyar Khan, M. Ordu","doi":"10.1109/ICISCT55600.2022.10146935","DOIUrl":"https://doi.org/10.1109/ICISCT55600.2022.10146935","url":null,"abstract":"Ellipse-nested tubular As2Se3 chalcogenide negative curvature hollow-core fibers are numerically presented for the mid-infrared region. Confinement and total losses are calculated as low as 0.39 dB/km and 4.61 dB/km at 10.6 μm, respectively. A further investigation on the fundamental and higher-order modes showed that the proposed fiber favors the single-mode guidance.","PeriodicalId":332984,"journal":{"name":"2022 International Conference on Information Science and Communications Technologies (ICISCT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126492114","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}
Pub Date : 2022-09-28DOI: 10.1109/ICISCT55600.2022.10146914
S. Otakulov, Feruza Kholiyarova
The paper considers a linear control system with a delay in the conditions of inaccuracy of information about the parameter of external influence. The optimal control problem is studied in the sense of the transfers of the trajectory to a mobile terminal set in minimal time. Necessary and sufficient conditions of optimality are obtained. For the case of a terminal set of the form of a half-space, an algorithm is proposed that shows the stages of solving the problem based on the use of the results obtained.
{"title":"The Time Optimal Control Problem for System with Delay Under Conditions of Inaccuracy of Information about the Parameter of External Influence","authors":"S. Otakulov, Feruza Kholiyarova","doi":"10.1109/ICISCT55600.2022.10146914","DOIUrl":"https://doi.org/10.1109/ICISCT55600.2022.10146914","url":null,"abstract":"The paper considers a linear control system with a delay in the conditions of inaccuracy of information about the parameter of external influence. The optimal control problem is studied in the sense of the transfers of the trajectory to a mobile terminal set in minimal time. Necessary and sufficient conditions of optimality are obtained. For the case of a terminal set of the form of a half-space, an algorithm is proposed that shows the stages of solving the problem based on the use of the results obtained.","PeriodicalId":332984,"journal":{"name":"2022 International Conference on Information Science and Communications Technologies (ICISCT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125818814","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}
Pub Date : 2022-09-28DOI: 10.1109/ICISCT55600.2022.10146881
A. Eshmuradov, A. Khaytbaev
The article presents the results of improving the quality of service in a wireless sensor network using artificial neural networks. Improved quality of service for some QoS parameters such as packet loss and congestion. Classification of nodes into qualified and unqualified categories was done using parameters. A new method of improving QoS based on artificial neural network (ANN) was implemented by converting unqualified nodes into good ones. Wireless sensor networks face many limitations such as memory and energy, the cost and computation time are somewhat reduced by using artificial neural networks. Modeling results showed that the proposed system achieved improved QoS by increasing network lifetime and reducing packet loss ratio.
{"title":"Improving quality of service in a wireless sensor network using artificial neural networks","authors":"A. Eshmuradov, A. Khaytbaev","doi":"10.1109/ICISCT55600.2022.10146881","DOIUrl":"https://doi.org/10.1109/ICISCT55600.2022.10146881","url":null,"abstract":"The article presents the results of improving the quality of service in a wireless sensor network using artificial neural networks. Improved quality of service for some QoS parameters such as packet loss and congestion. Classification of nodes into qualified and unqualified categories was done using parameters. A new method of improving QoS based on artificial neural network (ANN) was implemented by converting unqualified nodes into good ones. Wireless sensor networks face many limitations such as memory and energy, the cost and computation time are somewhat reduced by using artificial neural networks. Modeling results showed that the proposed system achieved improved QoS by increasing network lifetime and reducing packet loss ratio.","PeriodicalId":332984,"journal":{"name":"2022 International Conference on Information Science and Communications Technologies (ICISCT)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116625399","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}
Pub Date : 2022-09-28DOI: 10.1109/ICISCT55600.2022.10146782
G’aniyev Alisher
this article discusses methods based on the EEG signal when creating brain-computer interface (BCI) applications and systems. In this, the stages of creating BCI systems with an EEG signal approach are explained in detail. The main aspect of the article is the creation of BCI systems by minimizing EEG signal recording electrodes.
{"title":"Analysis of Human Brain Signal Rhythms Through a Bitalino Device","authors":"G’aniyev Alisher","doi":"10.1109/ICISCT55600.2022.10146782","DOIUrl":"https://doi.org/10.1109/ICISCT55600.2022.10146782","url":null,"abstract":"this article discusses methods based on the EEG signal when creating brain-computer interface (BCI) applications and systems. In this, the stages of creating BCI systems with an EEG signal approach are explained in detail. The main aspect of the article is the creation of BCI systems by minimizing EEG signal recording electrodes.","PeriodicalId":332984,"journal":{"name":"2022 International Conference on Information Science and Communications Technologies (ICISCT)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121440261","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}
Pub Date : 2022-09-28DOI: 10.1109/ICISCT55600.2022.10146777
Khurshedjon Farkhodov, Jin-Hyeok Park, Suk-Hwan Lee, Ki-Ryong Kwon
The current research field of object tracking has become noticeably popular among researchers where AI techniques take place with high-level accuracy. An algorithm with multifunctional abilities had proposed in different proposals in recent years. We proposed a tracking technique integrated with a virtual reality simulator – the AirSim (Areal Informatics and Robotics Simulation) City Environ model using one of the DRL models to control with a drone agent to examine a realistic environment. Additionally, the suggested method had tested via the two public: VisDrone2019 and OTB-100 datasets to compare with conventional strategies to show better performance among recent works.
{"title":"Virtual Simulation based Visual Object Tracking via Deep Reinforcement Learning","authors":"Khurshedjon Farkhodov, Jin-Hyeok Park, Suk-Hwan Lee, Ki-Ryong Kwon","doi":"10.1109/ICISCT55600.2022.10146777","DOIUrl":"https://doi.org/10.1109/ICISCT55600.2022.10146777","url":null,"abstract":"The current research field of object tracking has become noticeably popular among researchers where AI techniques take place with high-level accuracy. An algorithm with multifunctional abilities had proposed in different proposals in recent years. We proposed a tracking technique integrated with a virtual reality simulator – the AirSim (Areal Informatics and Robotics Simulation) City Environ model using one of the DRL models to control with a drone agent to examine a realistic environment. Additionally, the suggested method had tested via the two public: VisDrone2019 and OTB-100 datasets to compare with conventional strategies to show better performance among recent works.","PeriodicalId":332984,"journal":{"name":"2022 International Conference on Information Science and Communications Technologies (ICISCT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131462564","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}
Pub Date : 2022-09-28DOI: 10.1109/ICISCT55600.2022.10147007
Mansur Berdimurodov, A. Baizhumanov
The paper considers the problem of minimizing functions of the algebra of logic in the class of disjunctive normal forms. Algorithms for complete enumeration and bounded complexity for finding the shortest disjunctive normal forms of functions of the algebra of logic are developed and estimates for their complexity are calculated. An algorithm for minimizing the functions of the logic algebra of logic in the class of disjunctive normal forms is constructed based on the calculation of the error of the neighborhood of the first order of elementary conjunctions. The local analysis in the directed enumeration algorithm is investigated and its algorithmic complexity is estimated.
{"title":"Algorithms for minimizing functions of the algebra of logic in the class of disjunctive normal forms and estimating their complexity","authors":"Mansur Berdimurodov, A. Baizhumanov","doi":"10.1109/ICISCT55600.2022.10147007","DOIUrl":"https://doi.org/10.1109/ICISCT55600.2022.10147007","url":null,"abstract":"The paper considers the problem of minimizing functions of the algebra of logic in the class of disjunctive normal forms. Algorithms for complete enumeration and bounded complexity for finding the shortest disjunctive normal forms of functions of the algebra of logic are developed and estimates for their complexity are calculated. An algorithm for minimizing the functions of the logic algebra of logic in the class of disjunctive normal forms is constructed based on the calculation of the error of the neighborhood of the first order of elementary conjunctions. The local analysis in the directed enumeration algorithm is investigated and its algorithmic complexity is estimated.","PeriodicalId":332984,"journal":{"name":"2022 International Conference on Information Science and Communications Technologies (ICISCT)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133711571","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}
Pub Date : 2022-09-28DOI: 10.1109/ICISCT55600.2022.10146960
Salimjon O. Mahmudov, Matluba Mahmudova
The Internet of Things and machine learning promise a new era in healthcare. The advent of transformative technologies such as implantable and wearable medical devices (IWMDs) has made it possible to collect and analyze physiological signals from any person at any time. Machine learning allows us to identify patterns in these signals and make health predictions in both every day and clinical situations. This expands healthcare coverage from common clinical contexts to widespread everyday scenarios, from passive data collection to active decision making. Despite the existence of an extensive literature on IWMD-based and clinical health systems, the fundamental problems associated with the design and implementation of smart health systems have not been adequately addressed. The main objectives of this article are to define a standard framework for smart health, designed for both every day and clinical settings, to explore modern smart health systems and their constituent components. Queuing theory provides robust methods to evaluate alternative designs for modeling organization smart healthcare.
{"title":"Modern Intelligent Health Systems: Queueing, Simulation","authors":"Salimjon O. Mahmudov, Matluba Mahmudova","doi":"10.1109/ICISCT55600.2022.10146960","DOIUrl":"https://doi.org/10.1109/ICISCT55600.2022.10146960","url":null,"abstract":"The Internet of Things and machine learning promise a new era in healthcare. The advent of transformative technologies such as implantable and wearable medical devices (IWMDs) has made it possible to collect and analyze physiological signals from any person at any time. Machine learning allows us to identify patterns in these signals and make health predictions in both every day and clinical situations. This expands healthcare coverage from common clinical contexts to widespread everyday scenarios, from passive data collection to active decision making. Despite the existence of an extensive literature on IWMD-based and clinical health systems, the fundamental problems associated with the design and implementation of smart health systems have not been adequately addressed. The main objectives of this article are to define a standard framework for smart health, designed for both every day and clinical settings, to explore modern smart health systems and their constituent components. Queuing theory provides robust methods to evaluate alternative designs for modeling organization smart healthcare.","PeriodicalId":332984,"journal":{"name":"2022 International Conference on Information Science and Communications Technologies (ICISCT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133791973","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}
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