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2020 10th International Conference on Advanced Computer Information Technologies (ACIT)最新文献

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Sports Areas: Optimization of Lighting Devices Placement 体育领域:照明设备放置的优化
2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208873
L. Buiak, Andriy Mushak, N. Khoma, S. Khoma-Mohylska, L. Khokhlova
{"title":"Sports Areas: Optimization of Lighting Devices Placement","authors":"L. Buiak, Andriy Mushak, N. Khoma, S. Khoma-Mohylska, L. Khokhlova","doi":"10.1109/ACIT49673.2020.9208873","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208873","url":null,"abstract":"An algorithm for optimization of lighting fixtures placement for sports fields is proposed. It is based on a computer analysis of the playground lighting matrices. The analysis is based on the formation of illumination matrices for all possible points of installation and guidance of floodlights of several types, taking into account the requirements of standards, dazzling action, uniformity of illumination and modes of operation of sports facilities. The main feature of the algorithm is the formation of the total matrix of illumination of the site as the sum of matrices of sequential approximation to the optimal result based on the analysis of the minimum and maximum levels of illumination of the total matrix and each subsequent one. Based on the above algorithm software was developed in Delphi environment and an example of calculation of the illumination of a symmetric 4 tower system is given.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"87 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114045593","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
Predictive Analytics to Improve Road Safety 预测分析改善道路安全
2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208848
B. Gräler, I. I. Klatt, Martin Pontius, Albert Remke
{"title":"Predictive Analytics to Improve Road Safety","authors":"B. Gräler, I. I. Klatt, Martin Pontius, Albert Remke","doi":"10.1109/ACIT49673.2020.9208848","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208848","url":null,"abstract":"Worldwide around 1.35 million people died in traffic accidents in 2016 and up to 50 million were injured [1]. While much research has already been conducted and accident prevention measures have been installed the emerge of new data and technologies in recent years has broadened the potential of in-depth research and traffic accident prediction. In this article, we present an overview about relevant data in the city of Bremen, Germany, and assess how these data can be used to understand and predict traffic risks.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116600547","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
Multi-Channel Chaotic System 多通道混沌系统
2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9209000
Roman Voliansky, Oleg Kluev, Iurii Shramko, Vitaliy Kuznetsov, Nina Volianska
{"title":"Multi-Channel Chaotic System","authors":"Roman Voliansky, Oleg Kluev, Iurii Shramko, Vitaliy Kuznetsov, Nina Volianska","doi":"10.1109/ACIT49673.2020.9209000","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9209000","url":null,"abstract":"The paper deals with the construction and study of a multi-channel secured communication system based on a chaotic dynamic. Our design is based on the study of the piecewise linear time-delayed system. We offer to replace real numbers in the description of state variable and object parameters with complex and hyper-complex ones. Such an approach gives us the possibility to extend the system’s dimension and design a multi-channel chaotic system. We suggest using this system as a multichannel chaotic transmitter which modulates some message with a random signal sequence. It is shown that usage of irrational function makes it possible to deform chaotic oscillations form and makes them different from known ones. We use the symmetry principle to construct a decryptor for the received messages. Some recommendations to design multi-channel chaotic communication system are given as generalization of the proposed approach.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128671452","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
Gesture Detection in Digital Image Processing based on the Use of Convolutional Neuronal Networks 基于卷积神经网络的数字图像处理中的手势检测
2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208860
P. Golec, W. Gryncewicz, K. Hauke, Marcin Hernes, Artur Rot
{"title":"Gesture Detection in Digital Image Processing based on the Use of Convolutional Neuronal Networks","authors":"P. Golec, W. Gryncewicz, K. Hauke, Marcin Hernes, Artur Rot","doi":"10.1109/ACIT49673.2020.9208860","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208860","url":null,"abstract":"The paper presents empirical findings obtained from tests of an image detection system utilizing the YOLO network. Operating principles of the system are discussed, starting from simple convolutional networks, through R-CNN networks, and culminating in the use of the YOLO technology. The second part provides an examination of findings obtained from a system constructed on a custom dataset. Details are provided of the training process employed, together with the examination of accuracies for all pictures as well as for different classes. The main objective of the paper was to present the development of a system offering real-time gesture detection from camera feed images. Potential applications of the postulated gesture recognition system include toy control systems, photography, and broadly defined office assistance.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"223 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130494975","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
Modeling of Soil Basis of Headed Hydrotechnical Structure’s Deformations Under Action Of Filtration Water Flow 过滤水流作用下水工构筑物变形的土基模拟
2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208937
A. Vlasyuk, M. Kuzlo, N. Zhukovska, V. Zhukovskyy, N. Tarasyuk
{"title":"Modeling of Soil Basis of Headed Hydrotechnical Structure’s Deformations Under Action Of Filtration Water Flow","authors":"A. Vlasyuk, M. Kuzlo, N. Zhukovska, V. Zhukovskyy, N. Tarasyuk","doi":"10.1109/ACIT49673.2020.9208937","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208937","url":null,"abstract":"Mathematical modeling of the pressure hydraulic structure base soil deformations under the influence of a filtration water flow has been carried out. Based on the two-dimensional mathematical model, equations have been transformed, a difference scheme has been constructed, and the solution of boundary-value problems has been found by numerical methods. Due to the results of numerical experiments, the influence of the filtration water flow on the vertical and horizontal displacements of the base soil has been established.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130599384","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
Mathematical Methods for optimizing Big Data Processing 优化大数据处理的数学方法
2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208940
O. Syrotkina, M. Aleksieiev, B. Moroz, S. Matsiuk, O. Shevtsova, A. Kozlovskyi
{"title":"Mathematical Methods for optimizing Big Data Processing","authors":"O. Syrotkina, M. Aleksieiev, B. Moroz, S. Matsiuk, O. Shevtsova, A. Kozlovskyi","doi":"10.1109/ACIT49673.2020.9208940","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208940","url":null,"abstract":"This paper addresses the creation and application of mathematical methods to optimize the main characteristics of Big Data. This involves reducing the amount of information processed as well as increasing search speed and processing data while maintaining their respective values and reliability. The foregoing can be achieved by applying the proposed data organization structure called “m-tuples based on ordered sets of arbitrary cardinality”. This ordered structure describes a Boolean template in general. The Boolean template is an ordered set consisting of all subsets of an ordered basis set of arbitrary cardinality and any data type. We conducted a review of modern methodologies used in solving problems of this class. We also describe data organization properties which allow us to predetermine the result of performing certain operations in the structure by its elements using their location without executing a computational algorithm. The graphs represent the “operation of inclusion” when varying the length of the operand tuple. These graphs display the dynamics of changes in the fraction of operand combinations for which one tuple is a subset of the other. We obtained logical conclusions about the influence of the properties and mathematical methods of working with the structure. This allows us to minimize computational resources.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130643104","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 Robustness of the VSSD Watermarking Algorithm to UDFF Image Deformations VSSD水印算法对UDFF图像变形的鲁棒性
2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208966
Z. Milivojevic, B. Prlincevic, Z. Velickovic, D. Blagojevic
{"title":"The Robustness of the VSSD Watermarking Algorithm to UDFF Image Deformations","authors":"Z. Milivojevic, B. Prlincevic, Z. Velickovic, D. Blagojevic","doi":"10.1109/ACIT49673.2020.9208966","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208966","url":null,"abstract":"The first part of the paper describes the Variable Steps on the Schur Decomposition (VSSD) algorithm for watermark insertion and extraction. After that, the User-Defined Force Fields (UDFF) algorithm for image deformation is described. The second part of the paper describes an experiment within which robustness of the watermarked image (inserted by the VSSD algorithm,) that had been deformed by UDFF algorithm, was tested. Objective quality measures (MSE, PSNR, AMBE, SSIM, and NC) between the inserted and extracted watermark were calculated. The results are presented graphically. At the end, watermark robustness was determined by analyzing the results.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123979862","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
Theoretical Principles for Determining Correlation Entropy, Structure and System Characteristics of Special-Purpose Processors 确定专用处理器相关熵的理论原理、结构和系统特性
2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208872
Y. Nykolaichuk, N. Vozna, A. Segin, I. Pitukh, Taras Pastukh, I. Albanskiy
{"title":"Theoretical Principles for Determining Correlation Entropy, Structure and System Characteristics of Special-Purpose Processors","authors":"Y. Nykolaichuk, N. Vozna, A. Segin, I. Pitukh, Taras Pastukh, I. Albanskiy","doi":"10.1109/ACIT49673.2020.9208872","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208872","url":null,"abstract":"The paper presents theoretical substantiation of correlation entropy estimation and its features, which is the most accurate in relation to the known estimates. The structure of a special-purpose processor for estimating entropy was developed, which is characterized by higher performance and lower structural and hardware complexities than the known methods.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123327258","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
Evolving Fuzzy-Probabilistic Neural Network and Its Online Learning 进化模糊概率神经网络及其在线学习
2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208904
Yevgeniy V. Bodyanskiy, A. Deineko, I. Pliss, O. Chala
{"title":"Evolving Fuzzy-Probabilistic Neural Network and Its Online Learning","authors":"Yevgeniy V. Bodyanskiy, A. Deineko, I. Pliss, O. Chala","doi":"10.1109/ACIT49673.2020.9208904","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208904","url":null,"abstract":"In paper rapid learning algorithm for evolving fuzzy-probabilistic neural-network (EFPNN) in which architecture and characteristics of activation functions are configured is proposed. The proposed approach is based on methods of lazy learning, the concept \"Neurons in data points\", selflearning based on \"Winner takes all\", classic supervised learning and evolving systems, allowing to change the network architecture simultaneously with its parameter tuning. The peculiarity of EFPNN is ability of classification task solving in case of fuzziness - overlapping classes. In doing so, in classification process probability of membership of every image to particular class and fuzzy membership levels of this data are estimated. Proposed EFPNN is designed to solve fuzzy classification tasks in general problem of Data Stream Mining.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121523643","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: 3
Parallel Computing optimization of Two- Dimensional Mathematical Modeling of Contaminant Migration in Catalytic Porous Media 催化多孔介质中污染物迁移二维数学模型的并行计算优化
2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208878
A. Vlasyuk, V. Zhukovskyy, N. Zhukovska, S. Shatnyi
{"title":"Parallel Computing optimization of Two- Dimensional Mathematical Modeling of Contaminant Migration in Catalytic Porous Media","authors":"A. Vlasyuk, V. Zhukovskyy, N. Zhukovska, S. Shatnyi","doi":"10.1109/ACIT49673.2020.9208878","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208878","url":null,"abstract":"The mathematical model of a two-dimensional nonlinear case of contaminant migration to the filter traps in catalytic porous media in isothermal conditions is presented. The mathematical model takes into account the micro and the meso/macro scale factors of the mass transfer process. The numerical solution of the respective boundary value problem was obtained by the method of finite differences. Parallel computing optimization was conducted for numerical sweep method as well as for Orleans Grain management. The appropriate algorithmic complexity of the parallel block sweep method was shown. The general architecture of a new application was described. The resulted software was implemented in Microsoft Azure cloud computing platform. After a series of numerical experiments, the optimization performance results (speedup ratio and parallel efficiency) of a created solution were collected and discussed.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114818160","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: 10
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