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2017 Second Russia and Pacific Conference on Computer Technology and Applications (RPC)最新文献

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Ontologically-Oriented methods of integration of modular ERP systems 面向本体的模块化ERP系统集成方法
2017 Second Russia and Pacific Conference on Computer Technology and Applications (RPC) Pub Date : 2017-09-01 DOI: 10.1109/RPC.2017.8168072
V. Goryunova, T. Goryunova, O. Lukinova
{"title":"Ontologically-Oriented methods of integration of modular ERP systems","authors":"V. Goryunova, T. Goryunova, O. Lukinova","doi":"10.1109/RPC.2017.8168072","DOIUrl":"https://doi.org/10.1109/RPC.2017.8168072","url":null,"abstract":"The article presents ontologically-oriented tools and applications for creating an intellectual environment for engineering interaction in enterprise resource planning systems. It is noted that the usage of modular ontologies to provide data sustainability is a key factor in the “cross-linking” of local systems and different-type applications in the environment of enterprise resource planning systems.","PeriodicalId":144625,"journal":{"name":"2017 Second Russia and Pacific Conference on Computer Technology and Applications (RPC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127715392","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: 7
The development of ontologies to support the decisions in production systems management 本体的开发以支持生产系统管理中的决策
2017 Second Russia and Pacific Conference on Computer Technology and Applications (RPC) Pub Date : 2017-09-01 DOI: 10.1109/RPC.2017.8168096
N. Yusupova, O. Smetanina, A. Agadullina, E. Rassadnikova
{"title":"The development of ontologies to support the decisions in production systems management","authors":"N. Yusupova, O. Smetanina, A. Agadullina, E. Rassadnikova","doi":"10.1109/RPC.2017.8168096","DOIUrl":"https://doi.org/10.1109/RPC.2017.8168096","url":null,"abstract":"This article involves the analysis of known ontologies for solving production system management problems. The article considers the tasks solved by the ontological approach. It describes the developed ontology integration at the semantic level of data from databases of different industry information systems to support the management decisions, to use knowledge bases to support the decisions in logistics and environmental management, to ensure the general terminology for many professionals and shared applications.","PeriodicalId":144625,"journal":{"name":"2017 Second Russia and Pacific Conference on Computer Technology and Applications (RPC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132320212","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
The problem of target capturing by a group of unmanned flight vehicles under wind disturbances 风扰动下的一组无人飞行器目标捕获问题
2017 Second Russia and Pacific Conference on Computer Technology and Applications (RPC) Pub Date : 2017-09-01 DOI: 10.1109/RPC.2017.8168075
M. Khachumov, V. Khachumov
{"title":"The problem of target capturing by a group of unmanned flight vehicles under wind disturbances","authors":"M. Khachumov, V. Khachumov","doi":"10.1109/RPC.2017.8168075","DOIUrl":"https://doi.org/10.1109/RPC.2017.8168075","url":null,"abstract":"This paper considers the game-theoretic pursuit-evasion problem, where a group of pursuers is required to capture a moving target in airspace in the conditions of random perturbing wind actions. As participants of the game we assume the unmanned flight vehicles (FVs), which mathematical models are determined by transfer functions that describe the double-circuit control system with autopilot and settings providing necessary stability of the flight. Behavioral strategies of all participants of the antagonistic game for a case when the speed of the evader is higher than the speed of the pursuers are suggested. Situations with different outcomes that are typical for the considered pursuit-evasion problem are modelled in the experimental part of the paper.","PeriodicalId":144625,"journal":{"name":"2017 Second Russia and Pacific Conference on Computer Technology and Applications (RPC)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117307986","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: 7
Local area network failures types, consequences and criticality analysis 局域网故障类型、后果及严重性分析
2017 Second Russia and Pacific Conference on Computer Technology and Applications (RPC) Pub Date : 2017-09-01 DOI: 10.1109/RPC.2017.8168095
V. Voronin, O. A. Davydov
{"title":"Local area network failures types, consequences and criticality analysis","authors":"V. Voronin, O. A. Davydov","doi":"10.1109/RPC.2017.8168095","DOIUrl":"https://doi.org/10.1109/RPC.2017.8168095","url":null,"abstract":"LAN system hierarchical decomposition into basic elements has been carried out. In accordance with the received scheme, a list of equipment to be diagnosed is highlighted. Each unit of LAN equipment has been evaluated for criticality. LAN good technical condition criteria are determined. Failures types, consequences and criticality for possible malfunctions are analyzed. Existing or emerging defects diagnostic indicators are determined.","PeriodicalId":144625,"journal":{"name":"2017 Second Russia and Pacific Conference on Computer Technology and Applications (RPC)","volume":"58 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114119365","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
Development of a deep learning neural network for human movements analysis 开发用于人体运动分析的深度学习神经网络
2017 Second Russia and Pacific Conference on Computer Technology and Applications (RPC) Pub Date : 2017-09-01 DOI: 10.1109/RPC.2017.8168071
V. Golodov, Anna Zavei-Boroda, Sergey Ivanov, K. Nikolskaya
{"title":"Development of a deep learning neural network for human movements analysis","authors":"V. Golodov, Anna Zavei-Boroda, Sergey Ivanov, K. Nikolskaya","doi":"10.1109/RPC.2017.8168071","DOIUrl":"https://doi.org/10.1109/RPC.2017.8168071","url":null,"abstract":"The article deals with the recognition of the sensor/intuit subtype according to the empirical typology of K.G. Jung. A video fragment with the recording of human movements is used as the input data. Preliminary processing includes algorithms for processing the frames of the video fragment for selecting the skeleton of the image and then using it as input data to an artificial neural network of deep learning. The topology of the neural network is supposed.","PeriodicalId":144625,"journal":{"name":"2017 Second Russia and Pacific Conference on Computer Technology and Applications (RPC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124123183","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: 6
An improved algorithm of digital watermarking based on wavelet transform using learning automata 基于学习自动机的小波变换数字水印改进算法
2017 Second Russia and Pacific Conference on Computer Technology and Applications (RPC) Pub Date : 2017-09-01 DOI: 10.1109/RPC.2017.8168066
O. Evsutin, R. Meshcheryakov, Viktor Genrikh, Denis Nekrasov, Nikolai Yugov
{"title":"An improved algorithm of digital watermarking based on wavelet transform using learning automata","authors":"O. Evsutin, R. Meshcheryakov, Viktor Genrikh, Denis Nekrasov, Nikolai Yugov","doi":"10.1109/RPC.2017.8168066","DOIUrl":"https://doi.org/10.1109/RPC.2017.8168066","url":null,"abstract":"In this paper, we present an algorithm for embedding digital watermarks in digital images. Embedding is based on block quantization of DWT coefficients. A distinctive feature of this paper is the use of learning automata for the optimal redistribution of energy in blocks of DWT coefficients during the quantization. The obtained algorithm is highly efficient in terms of the quality criteria for embedding and can be used both for embedding digital watermarks and for arbitrary messages.","PeriodicalId":144625,"journal":{"name":"2017 Second Russia and Pacific Conference on Computer Technology and Applications (RPC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132087993","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: 5
Scientific documents ontologies for semantic representation of digital libraries 用于数字图书馆语义表示的科学文献本体
2017 Second Russia and Pacific Conference on Computer Technology and Applications (RPC) Pub Date : 2017-09-01 DOI: 10.1109/RPC.2017.8168064
A. Elizarov, S. Khaydarov, E. Lipachev
{"title":"Scientific documents ontologies for semantic representation of digital libraries","authors":"A. Elizarov, S. Khaydarov, E. Lipachev","doi":"10.1109/RPC.2017.8168064","DOIUrl":"https://doi.org/10.1109/RPC.2017.8168064","url":null,"abstract":"We present a system of services for the automatic processing of collections of scientific documents that are part of digital libraries. These services are based on ontologies for scientific documents representation, as well as on methods for semantic analysis of mathematical documents. The developed tools automatically check validity of documents for compliance with manuscript guidelines, convert these documents into required formats and generate their metadata.","PeriodicalId":144625,"journal":{"name":"2017 Second Russia and Pacific Conference on Computer Technology and Applications (RPC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132278714","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: 12
Tensor learningusing N-mode SVD for dynamic background modelling and subtraction 使用n模SVD进行动态背景建模和减法的张量学习
2017 Second Russia and Pacific Conference on Computer Technology and Applications (RPC) Pub Date : 2017-09-01 DOI: 10.1109/RPC.2017.8168056
Sheheryar Khan, Guoxia Xu, Hong Yan
{"title":"Tensor learningusing N-mode SVD for dynamic background modelling and subtraction","authors":"Sheheryar Khan, Guoxia Xu, Hong Yan","doi":"10.1109/RPC.2017.8168056","DOIUrl":"https://doi.org/10.1109/RPC.2017.8168056","url":null,"abstract":"Background modelling and subtraction is an essential component in motion analysis with wide range of applications in computer vision, whereas the task becomes more challenging in context of complex scenarios such as dynamic backgrounds. In this paper, we address the problem of modelling dynamic backgrounds in online tensor leaning framework. We use Tucker decomposition to model thespatio-temporal correlation of video background. To facilitate the online execution of foreground detection, we incrementally update the subspace factor matrices and core tensor by using the N-mode SVD. For the upcoming frame, the estimate of new basis matrix is updated, whereas the contents from last observation are removed. Similarity measure based on pixel values is carried out to produce the foreground mask. Visual analysis on video datasets has revealed that the proposed approach is well suited against dynamically varying backgrounds. Our quantitative results show that the proposed strategy is superior to state-of-the-art methods.","PeriodicalId":144625,"journal":{"name":"2017 Second Russia and Pacific Conference on Computer Technology and Applications (RPC)","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132556266","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
Intelligent data analysis and machine learning: Are they really equivalent Concepts? 智能数据分析和机器学习:它们真的是等同的概念吗?
2017 Second Russia and Pacific Conference on Computer Technology and Applications (RPC) Pub Date : 2017-09-01 DOI: 10.1109/RPC.2017.8168068
K. Victor, I. Z. Michael
{"title":"Intelligent data analysis and machine learning: Are they really equivalent Concepts?","authors":"K. Victor, I. Z. Michael","doi":"10.1109/RPC.2017.8168068","DOIUrl":"https://doi.org/10.1109/RPC.2017.8168068","url":null,"abstract":"Some specific features of modern Artificial Intelligence (AI) technologies are discussed. Intelligent Data Analysis (IDA), defined as data analysis by means of computer intelligent systems (more formal — reasoning systems), is in focus of our discussion. We compare effectiveness of classical Machine Learning (ML) and IDA in extraction of empirical laws (i.e. stable empirical regularities — dependencies) from open collections of experimental data — i.e. in so called knowledge discovery (KD) problems. We'll demonstrate (by examples of applications of JSM Method of automated support for scientific research) that IDA is more general concept than classical ML. Some new IDA-based abilities to improve effectiveness of AI-technologies in important applications are presented.","PeriodicalId":144625,"journal":{"name":"2017 Second Russia and Pacific Conference on Computer Technology and Applications (RPC)","volume":"435 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131920723","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
A computational model of microwave imaging 微波成像的计算模型
2017 Second Russia and Pacific Conference on Computer Technology and Applications (RPC) Pub Date : 2017-09-01 DOI: 10.1109/RPC.2017.8168078
N. N. Kisel, V. A. Cheremisov, D. Kisel
{"title":"A computational model of microwave imaging","authors":"N. N. Kisel, V. A. Cheremisov, D. Kisel","doi":"10.1109/RPC.2017.8168078","DOIUrl":"https://doi.org/10.1109/RPC.2017.8168078","url":null,"abstract":"Currently, for the studying of the internal structure of different objects apply the ultrasonic oscillations, x-rays, using the properties of nuclear magnetic resonance, etc. Each of the appropriate methods are peculiar to specific restrictions, so actual search and study of alternative types of probing actions. They include radio waves and ranges microwave and EHF. Below we consider the implementation of computational models of microwave imaging.","PeriodicalId":144625,"journal":{"name":"2017 Second Russia and Pacific Conference on Computer Technology and Applications (RPC)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133259546","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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