System research and information technologies最新文献

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Clusterization of vector and matrix data arrays using the combined evolutionary method of fish schools 基于鱼群组合进化方法的向量和矩阵数据数组聚类
System research and information technologies Pub Date : 2022-12-27 DOI: 10.20535/srit.2308-8893.2022.4.07
Yevgeniy V. Bodyanskiy, A. Shafronenko, I. Pliss
{"title":"Clusterization of vector and matrix data arrays using the combined evolutionary method of fish schools","authors":"Yevgeniy V. Bodyanskiy, A. Shafronenko, I. Pliss","doi":"10.20535/srit.2308-8893.2022.4.07","DOIUrl":"https://doi.org/10.20535/srit.2308-8893.2022.4.07","url":null,"abstract":"The problem of clustering data arrays described in both vector and matrix forms and based on the optimization of data distribution density functions in these arrays is considered. For the optimization of these functions, the algorithm that is a hybrid of Fish School Search, random search, and evolutionary optimization is proposed. This algorithm does not require calculating the optimized function’s derivatives and, in the general case, is designed to find optimums of multiextremal functions of the matrix argument (images). The proposed approach reduces the number of runs of the optimization procedure, finds extrema of complex functions with many extrema, and is simple in numerical implementation.","PeriodicalId":330635,"journal":{"name":"System research and information technologies","volume":"184 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131583364","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 problem of automatic classification of pictures using an intelligent decision-making system based on the knowledge graph and fine-grained image analysis 基于知识图谱和细粒度图像分析的智能决策系统在图像自动分类中的应用
System research and information technologies Pub Date : 2022-12-27 DOI: 10.20535/srit.2308-8893.2022.4.05
A. Martynenko, A. Tevyashev, N. Kulishova, B. Moroz
{"title":"The problem of automatic classification of pictures using an intelligent decision-making system based on the knowledge graph and fine-grained image analysis","authors":"A. Martynenko, A. Tevyashev, N. Kulishova, B. Moroz","doi":"10.20535/srit.2308-8893.2022.4.05","DOIUrl":"https://doi.org/10.20535/srit.2308-8893.2022.4.05","url":null,"abstract":"In order to prevent the illegal export of paintings abroad, a museum examination using various methods for studying a work of art is carried out. At the same time, an analysis is also made of historical, art history, financial and other information and documents confirming the painting’s authenticity — provenance. Automation of such examination is hampered by the need to take into account numerical values of visual features, quality indicators, and verbal descriptions from provenance. In this paper, we consider the problem of automatic multi-task classification of paintings for museum expertise. A system architecture is proposed that checks provenance, implements a fine-grained image analysis (FGIA) of visual image features, and automatically classifies a painting by authorship, genre, and time of creation. Provenance is contained in a knowledge graph; for its vectorization, it is proposed to use a graph2vec type encoder with an attention mechanism. Fine-grained image analysis is proposed to be performed using searching discriminative regions (SDR) and learning discriminative regions (LDR) allocated by convolutional neural networks. To train the classifier, a generalized loss function is proposed. A data set is also proposed, including provenance and images of paintings by European and Ukrainian artists.","PeriodicalId":330635,"journal":{"name":"System research and information technologies","volume":"51 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129124678","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
Study of security trends of the global society based on intelligent data analysis 基于智能数据分析的全球社会安全趋势研究
System research and information technologies Pub Date : 2022-10-30 DOI: 10.20535/srit.2308-8893.2022.3.01
M. Zgurovsky, I. Pyshnograiev
{"title":"Study of security trends of the global society based on intelligent data analysis","authors":"M. Zgurovsky, I. Pyshnograiev","doi":"10.20535/srit.2308-8893.2022.3.01","DOIUrl":"https://doi.org/10.20535/srit.2308-8893.2022.3.01","url":null,"abstract":"This article is devoted to applying system analysis and data mining methodology to one of the most pressing problems today: studying the security of a global society in a conflicting world. A set of global threats relevant to the first half of the 21st century is considered. These threats have been identified by the United Nations (UN), the World Health Organization (WHO), the World Economic Forum, and other reputable international organizations. As a result of applying the Delphi method to analyze a wide range of threats identified by these organizations, 11 of the most important threats to humanity in the first half of the 21st century were identified. The vulnerabilities of different countries to the impact of the totality of these threats are analyzed. Scenarios for the possible development of a global society during and after the conflict are constructed.","PeriodicalId":330635,"journal":{"name":"System research and information technologies","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124803390","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
Cost effective hybrid genetic algorithm for workflow scheduling in cloud 云环境下高效的工作流调度混合遗传算法
System research and information technologies Pub Date : 2022-10-30 DOI: 10.20535/srit.2308-8893.2022.3.08
S. K. Bothra, Sunita Singhal, Hemlata Goyal
{"title":"Cost effective hybrid genetic algorithm for workflow scheduling in cloud","authors":"S. K. Bothra, Sunita Singhal, Hemlata Goyal","doi":"10.20535/srit.2308-8893.2022.3.08","DOIUrl":"https://doi.org/10.20535/srit.2308-8893.2022.3.08","url":null,"abstract":"Cloud computing plays a significant role in everyone’s lifestyle by snugly linking communities, information, and trades across the globe. Due to its NP-hard nature, recognizing the optimal solution for workflow scheduling in the cloud is a challenging area. We proposed a hybrid meta-heuristic cost-effective load-balanced approach to schedule workflow in a heterogeneous environment. Our model is based on a genetic algorithm integrated with predict earliest finish time (PEFT) to minimize makespan. Instead of assigning the task randomly to a virtual machine, we apply a greedy strategy that assigns the task to the lowest-loaded virtual machine. After completing the mutation operation, we verify the dependency constraint instead of each crossover operation, which yields a better outcome. The proposed model incorporates the virtual machine’s performance variance as well as acquisition delay, which concedes the minimum makespan and computing cost. One of the most astounding aspects of our cost-effective hybrid genetic algorithm (CHGA) is its capacity to anticipate by creating an optimistic cost table (OCT) while maintaining quadratic time complexity. Based on the results of our meticulous experiments on some real-world workflow benchmarks and comprehensive analysis of some recently successful scheduling algorithms, we concluded that the performance of our CHGA is melodious. CHGA is 14.58188%, 11.40224%, 11.75306%, and 9.78841% cheaper than standard Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Cost Effective Genetic Algorithm(CEGA), and Cost-Effective Load-balanced Genetic Algorithm (CLGA), respectively.","PeriodicalId":330635,"journal":{"name":"System research and information technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130932821","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
The use of environmental decision support systems for modeling of atmospheric pollution following the chemical accidents 使用环境决策支持系统模拟化学事故后的大气污染
System research and information technologies Pub Date : 2022-10-30 DOI: 10.20535/srit.2308-8893.2022.3.04
I. Kovalets, V. Bespalov, Svitlana Maistrenko, O. Udovenko
{"title":"The use of environmental decision support systems for modeling of atmospheric pollution following the chemical accidents","authors":"I. Kovalets, V. Bespalov, Svitlana Maistrenko, O. Udovenko","doi":"10.20535/srit.2308-8893.2022.3.04","DOIUrl":"https://doi.org/10.20535/srit.2308-8893.2022.3.04","url":null,"abstract":"We studied the possibility of the combined application of screening models to assess the characteristics of sources in accidents at storage facilities for hazardous substances with complex models of atmospheric transport as part of modern decision support systems to calculate air pollution in a wide range of spatial and temporal scales. The evaporation time following an emergency spill, estimated by screening models, is used to set the emission intensity and calculate the atmospheric transport by the RODOS nuclear emergency response system. For the accident in Chernihiv on March 23, 2022, it was estimated that the maximum permissible concentration of ammonia 0.2 mg/m3 was exceeded at distances up to 75 km from the source. The dependence of the calculated maximum concentrations on time is close to asymptote cmax ~ t-4.5 up to 15 h after emission, which is consistent with the asymptote σ ~ t3/2 for the time dependence of the sizes of puffs following turbulent dispersion of instantaneous releases.","PeriodicalId":330635,"journal":{"name":"System research and information technologies","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131766461","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
Combined control of multirate impulse processes in a cognitive map of COVID-19 morbidity COVID-19发病率认知图中多速率脉冲过程的联合控制
System research and information technologies Pub Date : 2022-10-30 DOI: 10.20535/srit.2308-8893.2022.3.03
V. Romanenko, Y. Miliavskyi
{"title":"Combined control of multirate impulse processes in a cognitive map of COVID-19 morbidity","authors":"V. Romanenko, Y. Miliavskyi","doi":"10.20535/srit.2308-8893.2022.3.03","DOIUrl":"https://doi.org/10.20535/srit.2308-8893.2022.3.03","url":null,"abstract":"In this article, a cognitive map (CM) of COVID-19 morbidity in a given region was built. A general linear impulse process (IP) model in the CM was developed and measured, and unmeasured CM node coordinates were defined. The general IP model was decomposed into interrelated subsystems with measurable and unmeasurable node coordinates. For the subsystem with measurable node coordinates, multirate sampling of coordinates was conducted, resulting in the development of discrete dynamics models for quickly and slowly measured node coordinates. External controls were selected in IP models based on the possible variation of resources of node coordinates and CM weighting coefficients. IP control laws based on the variation of CM nodes and weight were designed. As a result, recurrent procedures for control generation in closed-loop control subsystems with multirate sampling were formulated. Experimental research on the control subsystems was carried out. It confirmed high efficiency for decreasing COVID-19 morbidity.","PeriodicalId":330635,"journal":{"name":"System research and information technologies","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133066751","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
Resource scheduling in edge computing IoT networks using hybrid deep learning algorithm 基于混合深度学习算法的边缘计算物联网网络资源调度
System research and information technologies Pub Date : 2022-10-30 DOI: 10.20535/srit.2308-8893.2022.3.06
G. Vijayasekaran, M. Duraipandian
{"title":"Resource scheduling in edge computing IoT networks using hybrid deep learning algorithm","authors":"G. Vijayasekaran, M. Duraipandian","doi":"10.20535/srit.2308-8893.2022.3.06","DOIUrl":"https://doi.org/10.20535/srit.2308-8893.2022.3.06","url":null,"abstract":"The proliferation of the Internet of Things (IoT) and wireless sensor networks enhances data communication. The demand for data communication rapidly increases, which calls the emerging edge computing paradigm. Edge computing plays a major role in IoT networks and provides computing resources close to the users. Moving the services from the cloud to users increases the communication, storage, and network features of the users. However, massive IoT networks require a large spectrum of resources for their computations. In order to attain this, resource scheduling algorithms are employed in edge computing. Statistical and machine learning-based resource scheduling algorithms have evolved in the past decade, but the performance can be improved if resource requirements are analyzed further. A deep learning-based resource scheduling in edge computing IoT networks is presented in this research work using deep bidirectional recurrent neural network (BRNN) and convolutional neural network algorithms. Before scheduling, the IoT users are categorized into clusters using a spectral clustering algorithm. The proposed model simulation analysis verifies the performance in terms of delay, response time, execution time, and resource utilization. Existing resource scheduling algorithms like a genetic algorithm (GA), Improved Particle Swarm Optimization (IPSO), and LSTM-based models are compared with the proposed model to validate the superior performances.","PeriodicalId":330635,"journal":{"name":"System research and information technologies","volume":"2019 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121377775","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
Data protection management process during remote biometric authentication 远程生物识别认证过程中的数据保护管理过程
System research and information technologies Pub Date : 2022-10-30 DOI: 10.20535/srit.2308-8893.2022.3.05
A. Astrakhantsev, Galyna Liashenko
{"title":"Data protection management process during remote biometric authentication","authors":"A. Astrakhantsev, Galyna Liashenko","doi":"10.20535/srit.2308-8893.2022.3.05","DOIUrl":"https://doi.org/10.20535/srit.2308-8893.2022.3.05","url":null,"abstract":"Remote biometric authentication systems have recently become widespread due to the need to use common devices and make payments over the Internet. Because biometric methods are more user-friendly and now quickly replace passwords, the task of transmitting biometric information over an open network without compromising it is becoming urgent. This work aims to upgrade the remote authentication system to increase the secrecy and security of user biometric data. In order to achieve this goal, it is proposed to use the best security methods for forming biometric templates, network steganography to increase secrecy, and the introduction of an intelligent decision-making system. These improvements will increase the security and privacy of data during the remote authentication process.","PeriodicalId":330635,"journal":{"name":"System research and information technologies","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124443761","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
Methods and models of neural networks for approximation of calibration characteristics of NTC-thermistors ntc热敏电阻校准特性的神经网络逼近方法和模型
System research and information technologies Pub Date : 2022-10-30 DOI: 10.20535/srit.2308-8893.2022.3.07
S. Fedin, I. Zubretska
{"title":"Methods and models of neural networks for approximation of calibration characteristics of NTC-thermistors","authors":"S. Fedin, I. Zubretska","doi":"10.20535/srit.2308-8893.2022.3.07","DOIUrl":"https://doi.org/10.20535/srit.2308-8893.2022.3.07","url":null,"abstract":"The hypothesis about the expediency of using RBF-networks to improve the accuracy of constructing the calibration characteristics of NTC-thermistors in the operating temperature range without dividing it into subranges is confirmed. It has been established that the error of the neural network approximation of the calibration characteristics of NTC-thermistors based on RBF-networks is at least one and a half times less than the permissible error of approximation of the third-order polynomial model, which is used in the software of modern systems for collecting and processing measurement information. A technique has been developed for processing measurement information using adaptive RBF-networks to automate constructing individual calibration characteristics and periodic calibration of NTC-thermistors.","PeriodicalId":330635,"journal":{"name":"System research and information technologies","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114936675","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
Expert system for depression detection in teenagers 青少年抑郁检测专家系统
System research and information technologies Pub Date : 2022-08-30 DOI: 10.20535/srit.2308-8893.2022.2.12
Bintang Raharja, Elfajar Bintang Samudera, Ferry Lay, S. Hansun
{"title":"Expert system for depression detection in teenagers","authors":"Bintang Raharja, Elfajar Bintang Samudera, Ferry Lay, S. Hansun","doi":"10.20535/srit.2308-8893.2022.2.12","DOIUrl":"https://doi.org/10.20535/srit.2308-8893.2022.2.12","url":null,"abstract":"Depression (major depressive disorder) is a common and serious medical illness that negatively affects how you feel, think, and act. Fortunately, it is treatable. Depression causes sadness and/or a loss of interest in activities once enjoyed. It can lead to various emotional and physical problems and decrease a person’s ability to function at work and home. Teenagers often experience this disorder because their emotions are still unstable. They also don’t have many chances to consult with a psychologist and doctor. Through this research, an expert system was created that implements knowledge from experts related to depression so that teenagers can do a self-test when needed. The expert system was developed using the Certainty Factor method for the knowledge inference engine. The system was tested iteratively and could achieve similar results with a domain expert. We hope that the system can detect early symptoms of depression among teenagers and minimize the negative impact it may cause.","PeriodicalId":330635,"journal":{"name":"System research and information technologies","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127378381","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
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