发布求助
文献互助 智能选刊 最新文献

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

筛选
英文 中文
Using The Computational Fluid Dynamic Software To Mixing Process Modeling In The Industrial Scale Vessel With Side-Mounted Agitator 应用计算流体动力学软件对工业规模侧装搅拌器容器混合过程进行建模
2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208986
R. Havryliv, I. Kostiv, Volodymyr Maystruk
{"title":"Using The Computational Fluid Dynamic Software To Mixing Process Modeling In The Industrial Scale Vessel With Side-Mounted Agitator","authors":"R. Havryliv, I. Kostiv, Volodymyr Maystruk","doi":"10.1109/ACIT49673.2020.9208986","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208986","url":null,"abstract":"The effects of the mesh size and time step size on CFD modeling results have been studied. The numerical modeling results present the flow distribution of velocity fields inside the industrial scale vessel of 30 $mathrm{m}^{3}$ equipped with a sidemounted agitator. For the turbulent fluid flow modeling the “realizable $mathrm{k}-varepsilon$” model and Sliding Mesh approach implemented in the ANSYS Fluent software were used for transient simulation. The optimal installation values for transient modeling parameters for the mixing process realized in Ansys Fluent software were proposed.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"24 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":"116899538","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
Structure and Functioning of Information Systems of Background Monitoring of Landscape Elements of Gorgany Nature Reserve 长江自然保护区景观要素背景监测信息系统的结构与功能
2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208933
Y. Nykolaychuk, Yaroslav Petrashchuk, O. Slobodian, I. Pitukh, T. Grynchyshyn, L. Nykolaychuk, V. Hryha
{"title":"Structure and Functioning of Information Systems of Background Monitoring of Landscape Elements of Gorgany Nature Reserve","authors":"Y. Nykolaychuk, Yaroslav Petrashchuk, O. Slobodian, I. Pitukh, T. Grynchyshyn, L. Nykolaychuk, V. Hryha","doi":"10.1109/ACIT49673.2020.9208933","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208933","url":null,"abstract":"This paper discusses the structural organization of the background monitoring system (BMS) of the transboundary UNESCO World Heritage Site “Beech forests of the Carpathians and ancient beech forests of Germany” using actual data and information from Gorgany Nature Reserve in Ivano-Frankivsk, Ukraine. The features of the structure and functions of background monitoring of the protected natural resources, forests and wildlife of Gorgany Nature Reserve is based on modern methods of collecting and processing of digital data, implementation of the principles of Internet of Things and cloud technologies, combined with GPS-systems, sensor networks with the use of optical and fiber-optic telecommunication channels. The information technology of the background monitoring system is based on figurative cluster models of monitoring objects according to theoretical principles of statistical, correlatory, spectral, cluster, logic-statistical and entropy analysis.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"20 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":"127205537","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
Method of Probability Distribution Fitting for Statistical Data with Small Sample Size 小样本统计数据的概率分布拟合方法
2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208842
V. Kuzmin, M. Zaliskyi, R. Odarchenko, Oksana Polishchuk, O. Ivanets, O. Shcherbyna
{"title":"Method of Probability Distribution Fitting for Statistical Data with Small Sample Size","authors":"V. Kuzmin, M. Zaliskyi, R. Odarchenko, Oksana Polishchuk, O. Ivanets, O. Shcherbyna","doi":"10.1109/ACIT49673.2020.9208842","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208842","url":null,"abstract":"The paper deals with a new approach for probability distribution fitting for empirical data with small sample size. The proposed method includes three steps: 1) outliers detection and correction; 2) transformation basis calculation; 3) basis function optimization. For the possibility of asymmetric distributions approximation, a piecewise linear basis function is used. During basis function optimization, the dependence of squared deviations sum on switching point abscissa is calculated. The mathematical formula for this dependence can be obtained by quadratic approximation according to the least squares method. The optimum of switching point abscissa coincides with minimum of obtained parabola. Method of probability distribution fitting for statistical data with small sample size is illustrated on the real empirical data example. For this example the best probability distribution fitting corresponds to the case of optimized piecewise linear basis function.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"22 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":"127442444","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
A Behaviour based Ransomware Detection using Neural Network Models 基于神经网络模型的勒索软件行为检测
2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208974
Eleni Ketzaki, Petros Toupas, K. M. Giannoutakis, A. Drosou, D. Tzovaras
{"title":"A Behaviour based Ransomware Detection using Neural Network Models","authors":"Eleni Ketzaki, Petros Toupas, K. M. Giannoutakis, A. Drosou, D. Tzovaras","doi":"10.1109/ACIT49673.2020.9208974","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208974","url":null,"abstract":"This study proposes a behaviour based methodology for ransomware detection. Ransomware is the type of malware that restricts access to files or blocks an infected device asking victims to pay fees in order to remove the restriction. The proposed detection procedure is based on the usage of neural network methodologies for the ransomware detection assuming features that related only with the utilization of the device resources. In the first part of the study, the System Monitor Service is proposed, that records the utilisation of the workstations’ resources and extracts the corresponding features that describe their behaviour. The above tool monitors in real time the CPU, the memory, the disk space, the rate of reads and writes, the number of changed, created and deleted files. The second part of the methodology concerns the development of a neural network model that detects ransomware. Based on real data that arose from the System Monitor service, a model that fulfils the modern needs regarding the performance of the agents has been developed. The proposed methodology is ideal for Small and Medium Enterprises (SMEs) that constitute a particular target of the ransomwares for financial reasons.","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":"125151160","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: 4
Information System Of Ecological Monitoring “Bioindicator - Forest Marten” 生态监测“生物指标-森林貂”信息系统
2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208906
M. Talakh, Serhii Golub, Viacheslav Hantyuk
{"title":"Information System Of Ecological Monitoring “Bioindicator - Forest Marten”","authors":"M. Talakh, Serhii Golub, Viacheslav Hantyuk","doi":"10.1109/ACIT49673.2020.9208906","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208906","url":null,"abstract":"The article presents the results of research in population dynamics Martes martes L. depending on weather and climatic factors in the national park “Vyzhnytskyi” during the period 2002-2019 years. Our analysis provides evidence in favor of average maximum air temperature in February, maximum daily average for January and minimum precipitation in June during the study period in the territory of national park.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"13 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":"125763944","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
Multiple-choice Classification of Radio Navigation Systems Technical State 无线电导航系统技术状态多项选择分类
2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9209009
O. Zuiev, O. Solomentsev, Y. Petrova
{"title":"Multiple-choice Classification of Radio Navigation Systems Technical State","authors":"O. Zuiev, O. Solomentsev, Y. Petrova","doi":"10.1109/ACIT49673.2020.9209009","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9209009","url":null,"abstract":"The article is devoted to the multiple choice classification of the technical state of the radionavigation system. At present it is necessary to develop a mathematical model of control in the case of multi-alternative classification of these systems technical state, introduces the control process in the form of a joint action of the set of elementary operation transformation of the controlled parameter. This approach allow to solve the problem of probability of correct decisions making as a result of technical state classification quantitatively estimation.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"50 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":"125313046","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
Synthesis of Ukraine Budget Revenues Model in Conditions of Shadow Economy using Modified Method of Structural Identification 基于修正结构识别方法的影子经济条件下乌克兰预算收入模型综合
2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208829
M. Dyvak, Natalia Porplytsya, I. Pidhurska, V. Brych, L. Horal, Nataliya Halysh
{"title":"Synthesis of Ukraine Budget Revenues Model in Conditions of Shadow Economy using Modified Method of Structural Identification","authors":"M. Dyvak, Natalia Porplytsya, I. Pidhurska, V. Brych, L. Horal, Nataliya Halysh","doi":"10.1109/ACIT49673.2020.9208829","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208829","url":null,"abstract":"Models for prediction of Ukraine budget revenues under conditions of shadow economy are built in the work. To build these models, known structural identification method used and modified one has been used. The necessity of modification of the known method consists in the following fact: while identifying the neighborhood of known nectar sources, the deterministic approach is used. The paper proposes to unify the concept of nectar source neighborhood for each of them regardless of its value (quality) by using a modified operator of nectar source generation. The results of comparative analysis showed that the use of modified method of structural identification is at least 14% more effective.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"35 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":"126939008","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
Categorisation of Computational Methods for the Extraction and Analysis of Vehicle Trajectory Data leading to an Increase in Road Safety 车辆轨迹数据提取与分析的计算方法分类，提高道路安全
2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208921
Serge Lamberty, Eszter Kalló, Moritz Berghaus, Adrian Fazekas, M. Oeser
{"title":"Categorisation of Computational Methods for the Extraction and Analysis of Vehicle Trajectory Data leading to an Increase in Road Safety","authors":"Serge Lamberty, Eszter Kalló, Moritz Berghaus, Adrian Fazekas, M. Oeser","doi":"10.1109/ACIT49673.2020.9208921","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208921","url":null,"abstract":"In order to further reduce the number of accidents on our streets and at the same time to increase the efficiency of the available infrastructure, there is need to improve or even replace traditional traffic safety methods, which are based on accident data. In comparison, estimating accident risk is a preventive method, which analyses the single vehicle trajectories or the conflicts between interacting vehicles. To gain this information, vehicle trajectories can be computationally extracted from video recordings or from other data sources. To accelerate the analysis and to be able to handle the huge amount of video data generated, automated vehicle trajectory extraction is a promising method. Depending on the application, different levels of acquisition and analysis can be applied to achieve the necessary detection range, computational speed, realism or analysis complexity. This paper attempts to distinguish between those levels and presents several use-cases which require distinct levels in order to achieve their objective.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"21 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":"114913285","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
Specificity of Corporate Culture Modeling at Industrial Enterprises in Conditions of Digital Business Transformation 数字化业务转型条件下工业企业文化建模的特殊性
2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208925
M. Vedernikov, Inna Sandyga, L. Volianska-Savchuk, O. Chernushkina, Maria Zelena, O. Koshonko
{"title":"Specificity of Corporate Culture Modeling at Industrial Enterprises in Conditions of Digital Business Transformation","authors":"M. Vedernikov, Inna Sandyga, L. Volianska-Savchuk, O. Chernushkina, Maria Zelena, O. Koshonko","doi":"10.1109/ACIT49673.2020.9208925","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208925","url":null,"abstract":"The work investigates the state of corporate culture at the enterprises of mechanical engineering. This is done in order to identify the positive and negative features of functioning and to create a certain system of ideas about corporate culture, which will in the future determine the main and perspective directions of formation of corporate culture. Diagnosis, analysis and assessment of the state of corporate culture were carried out, and the methodology of multilevel diagnostics of corporate culture was used.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"128 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":"116578347","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
High-Accuracy Particulate Matter Prediction Model Based on Artificial Neural Network 基于人工神经网络的高精度颗粒物预测模型
2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI: 10.1109/ACIT49673.2020.9208968
Jelena Misic, V. Markovic
{"title":"High-Accuracy Particulate Matter Prediction Model Based on Artificial Neural Network","authors":"Jelena Misic, V. Markovic","doi":"10.1109/ACIT49673.2020.9208968","DOIUrl":"https://doi.org/10.1109/ACIT49673.2020.9208968","url":null,"abstract":"This paper presents a low-cost high-accuracy method for the prediction of the air pollutant Particulate Matter 2.5 (PM2.5). The PM2.5 pollutant is very harmful to humans, animals, and vegetation, and its index depends on many factors. As the existing PM2.5 monitoring methods are mostly expensive, and PM2.5 values are usually not measured at every meteorological station, the PM2.5 prediction is of great importance. The cost-effective and efficient method proposed in this paper is based on a Multilayer Perceptron Artificial Neural Network (MLP-ANN). The PM2.5 level is predicted using the meteorological factors that are easy to measure. The prediction accuracy has been tested at two locations: one at which the training data were collected, and another 250 km away from the first. Excellent prediction accuracy is achieved, showing a great practical significance of the proposed prediction method.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"42 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":"122738114","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
下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信