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2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC)最新文献

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Model of a Composite Magistral Conveyor Line 复合型横向输送线模型
2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC) Pub Date : 2018-10-01 DOI: 10.1109/SAIC.2018.8516739
O. Pihnastyi, V. Khodusov
{"title":"Model of a Composite Magistral Conveyor Line","authors":"O. Pihnastyi, V. Khodusov","doi":"10.1109/SAIC.2018.8516739","DOIUrl":"https://doi.org/10.1109/SAIC.2018.8516739","url":null,"abstract":"This document presents a distributed model of the transport conveyor. It is shown that the transport conveyor is a special case of a production line. To simulate the transport conveyor, the one-moment approximation was used. The fact that the material moves along the transport route at the same speed allowed to obtain the equations of the distributed model of the conveyor belt in a closed form. Using the transport conveyor model as the base model, a distributed model composite magistral conveyor line is constructed. A general solution is obtained that allows to determine the distribution of materials along the transport route and the output flow of materials from the transport system at an arbitrary time. The solution of the system of equations for the distributed model of a composite magistral conveyor line is analyzed in the case of a constant-speed conveyor. The time delay between the arrival of the material at the inlet of the conveyor line and its outlet from the conveyor is determined.","PeriodicalId":157794,"journal":{"name":"2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134309630","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: 11
A Novel Algorithm for Attacking Path Explosion in Model-Based Test Generation for Data Flow Coverage 基于模型的数据流覆盖测试生成中攻击路径爆炸的新算法
2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC) Pub Date : 2018-10-01 DOI: 10.1109/SAIC.2018.8516824
A. Kolchin
{"title":"A Novel Algorithm for Attacking Path Explosion in Model-Based Test Generation for Data Flow Coverage","authors":"A. Kolchin","doi":"10.1109/SAIC.2018.8516824","DOIUrl":"https://doi.org/10.1109/SAIC.2018.8516824","url":null,"abstract":"This paper presents a new efficient on-the-fly algorithm for test data generation to cover all feasible definition-use associations. It is well known that the ability to handle the exponential growth of the search space is the most critical feature of space exploration based methods. In this respect, the proposed algorithm stores and dynamically refines knowledge about sought coverage items reached from each state to prune the remaining exploration, so that a state will not be explored until it can increase the sought coverage, however, an early-terminated path can later be resumed upon the refinement in order to hold completeness of the search. While the asymptotic complexity is not improved and memory consumption is even increased, in many practical cases the algorithm terminates much earlier.","PeriodicalId":157794,"journal":{"name":"2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131820833","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
Using Econometric Modeling in Likelihood Assessing of Investment Activity Risks 计量经济模型在投资活动风险可能性评估中的应用
2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC) Pub Date : 2018-10-01 DOI: 10.1109/SAIC.2018.8516898
A. Bogomolov, V. Nevezhin, L. Chagovets
{"title":"Using Econometric Modeling in Likelihood Assessing of Investment Activity Risks","authors":"A. Bogomolov, V. Nevezhin, L. Chagovets","doi":"10.1109/SAIC.2018.8516898","DOIUrl":"https://doi.org/10.1109/SAIC.2018.8516898","url":null,"abstract":"The article substantiates the necessity of inclusion of random future variables in econometric models. It is considered various concepts of types and descriptions of their probability different from the frequency probability. The example of the use of the subjective Bayesian probability to assess the risks in insurance activities is provided. It is considered how to improve the assessment of the parameters of auto-regression models by including f-lag (future expected) variables. The assessment model of insurance processes allows to estimate probabilities of future expected events and their influence on errors and risks of management decisions by subjective statistics methods and Bayesian networks.","PeriodicalId":157794,"journal":{"name":"2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130719766","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
Analysis of Prediction Mathematical Models of Shrinkage Defects in Castings 铸件缩孔缺陷预测数学模型分析
2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC) Pub Date : 2018-10-01 DOI: 10.1109/SAIC.2018.8516811
T. Selivyorstova, A. Mikhalyov
{"title":"Analysis of Prediction Mathematical Models of Shrinkage Defects in Castings","authors":"T. Selivyorstova, A. Mikhalyov","doi":"10.1109/SAIC.2018.8516811","DOIUrl":"https://doi.org/10.1109/SAIC.2018.8516811","url":null,"abstract":"In the article the analysis of mathematical models of metal casting solidification process description is carried out. We showed some disadvantages of using Fourier-Kirchhoff equation in Navier-Stokes equation for prediction quantitative characteristics of shrinkage defects. A criteria approach is considered for the estimation of localization and shrinkage porosity parameters. It is shown that the maximum reliable prediction of shrinkage defects can be implemented taking into account the mass redistribution, which is related to the dependence of thermophysical parameters on the state of the final volume.","PeriodicalId":157794,"journal":{"name":"2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131662681","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
Some Methods for Estimating Financial Risks in Banking 银行业财务风险评估的几种方法
2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC) Pub Date : 2018-10-01 DOI: 10.1109/SAIC.2018.8516873
N. Kuznietsova, M. Seebauer, S. Zabielin
{"title":"Some Methods for Estimating Financial Risks in Banking","authors":"N. Kuznietsova, M. Seebauer, S. Zabielin","doi":"10.1109/SAIC.2018.8516873","DOIUrl":"https://doi.org/10.1109/SAIC.2018.8516873","url":null,"abstract":"This paper is devoted to the investigation of the possibilities of using neural networks, Altman model and linear regression for Z-score and Beta index prediction. These methods could be used for evaluating the probability of bankruptcy for companies-borrowers, individuals, portfolio of credits and the bank in whole. In this work Z-score was predicted for Bank of America based on Altman model and the best model for its forecasting was neural network backpropagation with the configuration (2,3,3,3,3,3,3,3,3,2). In future research is planning to make the further investigation of the possibilities to use the other data mining methods for evaluating the probability of risk and forecasting of expected losses after its appearance.","PeriodicalId":157794,"journal":{"name":"2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122119057","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: 2
On Optimization Problems on the Polyhedral-Spherical Configurations with their Properties 多面体-球面构型及其性质的优化问题
2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC) Pub Date : 2018-10-01 DOI: 10.1109/SAIC.2018.8516801
S. Yakovlev, O. Pichugina, O. Yarovaya
{"title":"On Optimization Problems on the Polyhedral-Spherical Configurations with their Properties","authors":"S. Yakovlev, O. Pichugina, O. Yarovaya","doi":"10.1109/SAIC.2018.8516801","DOIUrl":"https://doi.org/10.1109/SAIC.2018.8516801","url":null,"abstract":"A class of polyhedral-spherical configurations is introduced as a special case of finite point configurations. Theorems on the properties of such configurations are formulated. A connection of polyhedral-spherical configurations with vertex-located sets is established. An optimization problem on polyhedral-spherical configurations is investigated. Extremal properties of functions defined on the sets are explored.","PeriodicalId":157794,"journal":{"name":"2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124854259","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
Application of Neural Network Technologies for Information Protection in Real Time 神经网络技术在实时信息保护中的应用
2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC) Pub Date : 2018-10-01 DOI: 10.1109/SAIC.2018.8516798
Viktor Khavalko, Andrew Khudyy
{"title":"Application of Neural Network Technologies for Information Protection in Real Time","authors":"Viktor Khavalko, Andrew Khudyy","doi":"10.1109/SAIC.2018.8516798","DOIUrl":"https://doi.org/10.1109/SAIC.2018.8516798","url":null,"abstract":"The questions of neural networks usage for cryptographic information protection have been considered. The problem of cryptographic stability and the main reasons for the unreliability of cryptosystems have been investigated. The issue of neurocomputers application in cryptanalysis is considered. The analysis of the neurocomputers work based on the developed software is done.","PeriodicalId":157794,"journal":{"name":"2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126615461","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
Architecture of Computing with Words Based Information Technology for Proactive Aviation Security Control 主动航空安全控制中基于词的信息技术计算体系结构
2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC) Pub Date : 2018-10-01 DOI: 10.1109/SAIC.2018.8516802
D. Tavrov, O. Temnikova, V. Temnikov, V. Kozlovskyi, A. Temnikov
{"title":"Architecture of Computing with Words Based Information Technology for Proactive Aviation Security Control","authors":"D. Tavrov, O. Temnikova, V. Temnikov, V. Kozlovskyi, A. Temnikov","doi":"10.1109/SAIC.2018.8516802","DOIUrl":"https://doi.org/10.1109/SAIC.2018.8516802","url":null,"abstract":"Level of aviation security (AS) of an airport depends on the state of the system for countering acts of unlawful interference by intruders into airports (SCAUI), which includes airport security officers, as well as and technical devices for inspection of passengers, hand luggage, and baggage, security systems to protect the airport's controlled areas. In this article, we introduce basic principles of the information technology (IT), whose application allows to increase the airport AS by improving the quality of proactive control over the state of SCAUI. The developed IT is built on the basis of the client-server architecture and the SCAUI model. The authors propose to perform proactive control by consecutively solving direct and inverse problems. The direct problem is a problem of assessing the overall level of the AS based on the verbal assessments of individual factors. The inverse problem is the problem of identifying those factors, which have predominant influence on the AS. At the core of the SCAUI model and all computing involved in solving both direct an inverse problems lie ideas from the computing with words domain. Each word is represented as an interval type-2 fuzzy set, and their aggregation is performed using linguistic weighted average.","PeriodicalId":157794,"journal":{"name":"2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116667712","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
Performance Analysis of Positioning System by Navigational Aids in Three Dimensional Space 三维空间助航定位系统性能分析
2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC) Pub Date : 2018-10-01 DOI: 10.1109/SAIC.2018.8516790
N. Kuzmenko, I. Ostroumov
{"title":"Performance Analysis of Positioning System by Navigational Aids in Three Dimensional Space","authors":"N. Kuzmenko, I. Ostroumov","doi":"10.1109/SAIC.2018.8516790","DOIUrl":"https://doi.org/10.1109/SAIC.2018.8516790","url":null,"abstract":"Performance estimation of aircraft positioning system by navigational aids in three-dimensional space is proposed in the paper. Positioning system by pairs of Distance Measuring Equipment (DME/DME), Very high frequency Omni-directional Range (VOR/VOR) and their fusion (VOR/DME) is considered as stand-by approach on board of aircraft. Performance of positioning system depends on geometry of navigational aids location in space and technical characteristics of ground-based equipment. System performance analysis in tree-dimensional space gives possibility to estimate characteristics variation with altitude. Proposed approach divides investigated airspace into set of elementary cells for statistical simulation with iterative approach of performance characteristics estimation. Obtained performance levels are compared with area navigation specification requirements to detect gaps in service. Performance analysis of aircraft positioning systems in three-dimensional space by navigational aids was done for Ukrainian airspace.","PeriodicalId":157794,"journal":{"name":"2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC)","volume":"8 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113942914","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: 20
Expert System for Identification of the Technical State of the Aircraft Engine TV3-117 in Flight Modes 航空发动机TV3-117飞行模式技术状态识别专家系统
2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC) Pub Date : 2018-10-01 DOI: 10.1109/SAIC.2018.8516864
Yurii Shmelov, S. Vladov, Y. Klimova, Marina Kirukhina
{"title":"Expert System for Identification of the Technical State of the Aircraft Engine TV3-117 in Flight Modes","authors":"Yurii Shmelov, S. Vladov, Y. Klimova, Marina Kirukhina","doi":"10.1109/SAIC.2018.8516864","DOIUrl":"https://doi.org/10.1109/SAIC.2018.8516864","url":null,"abstract":"An expert system for identifying the technical state of the aircraft engine TV3-117 in flight modes based on neural network technology is developed, which monitors, diagnoses and predicts engine parameters and decides on its technical condition. The neural network expert system is based on the NN Predictive Controller, which has multitasking, including forecasting the technical state of dynamic objects. The error in learning the neural network, compiled on the basis of the neural regulator, is revealed extremely small, which confirms the rationality in its application. An algorithm for learning a neuroregulator based on a neuromuscular is developed, which is trained using the method of back propagation of the error.","PeriodicalId":157794,"journal":{"name":"2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132705265","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: 13
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