{"title":"The Non-Linear Regression Model to Estimate the Part of NPLS in the Whole Loan Portfolio of Ukrainian Banks","authors":"N. Prykhodko, S. Prykhodko, M. Vorona","doi":"10.1109/SAIC.2018.8516899","DOIUrl":"https://doi.org/10.1109/SAIC.2018.8516899","url":null,"abstract":"The non-linear regression model for estimating the part of non-performing loans (NPLs) in the whole loan portfolio of Ukrainian banks is constructed on the basis of the Johnson normalizing transformation for the four-dimensional non-Gaussian data: the part of NPLs in the whole loan portfolio of Ukrainian banks, the official exchange rate of the US dollar to the national currency UAH, the part of foreign currency loans and the part of loans for legal entities in the loan portfolio. The equation, confidence and prediction intervals of non-linear regression on the basis of normalizing transformations for the non-Gaussian data are also built. Comparison of the constructed model with the linear regression model and a nonlinear regression model based on the decimal logarithm is performed.","PeriodicalId":157794,"journal":{"name":"2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC)","volume":"19 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":"116746671","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}
{"title":"About Stability of First Kind Equation Solving","authors":"G. Shyshkanova","doi":"10.1109/SAIC.2018.8516805","DOIUrl":"https://doi.org/10.1109/SAIC.2018.8516805","url":null,"abstract":"The application of solving methods for two-dimensional first kind integral equations with weak singularity is investigated. The reduction by regularization to the second kind equations is made using the potential theory and quadrature methods. The solution of the contact problem with doubly-connected domain is developed. The roughness coefficient is proposed as the regularization parameter.","PeriodicalId":157794,"journal":{"name":"2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC)","volume":"31 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":"125570864","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}
{"title":"Increase in the Efficiency of Situational Control Systems by Forces and Means to Prevent From and Liquidate Crisis Situations","authors":"Y. Danyk, V. Shestakov","doi":"10.1109/SAIC.2018.8516746","DOIUrl":"https://doi.org/10.1109/SAIC.2018.8516746","url":null,"abstract":"The paper conducts the analysis of the state concerning the theory and practice of building and application of the situational systems of operative control by the forces and means appointed (set) for providing the effective acts in the crisis situations. Based on the analysis of the command and control cycle constituents, which are performed by dispersed in the space mixed means of reconnaissance, control and damage aimed at the detection, prevention and neutralization of the threats of the crisis situations, the authors propose the ways of increasing such systems to prevent from and liquidate the military conflict as the crisis situation. The methods and algorithms of achieving the competitive preferences in the application of such systems are examined.","PeriodicalId":157794,"journal":{"name":"2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC)","volume":"39 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":"121646572","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}
O. Barabash, Nataliia Lukova-Chuiko, V. Sobchuk, A. Musienko
{"title":"Application of Petri Networks for Support of Functional Stability of Information Systems","authors":"O. Barabash, Nataliia Lukova-Chuiko, V. Sobchuk, A. Musienko","doi":"10.1109/SAIC.2018.8516747","DOIUrl":"https://doi.org/10.1109/SAIC.2018.8516747","url":null,"abstract":"In this paper under the functional stability of the information system is understood the property of the system to be in the able state to work, that is, to perform the necessary functions within the given interval of time or works in the conditions of refusals of component parts through external and internal factors. Indicators of functional stability characterize the result of its provision by redistributing of existing redundancy or resources in extraordinary situations. The conducted analysis of Petri Networks lets conclude, that maintaining the functional stability of the information system under the influence of external and internal destabilizing factors is a complex of dynamic process which can be described by Petri Network. In this manner, with using of Petri Networks it is possible to create models, which let save the functional stability of the information system under the influence of external and internal destabilizing factors, which based on the description of the structure of the information system. Such models allow taking into account both the features of the construction of the information system and the dynamics of processes the dynamics of processes of changing its states by functioning under conditions of influence of external and internal destabilizing factors.","PeriodicalId":157794,"journal":{"name":"2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC)","volume":"1 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":"116216381","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}
{"title":"Intelligent Service Discovery and Orchestration","authors":"A. Petrenko, B. Bulakh","doi":"10.1109/SAIC.2018.8516723","DOIUrl":"https://doi.org/10.1109/SAIC.2018.8516723","url":null,"abstract":"This paper describes an architectural background of the development of dynamic service-oriented systems using the orchestration approach and semantic technologies for intelligent dynamic synthesis of the complex functionality required by user from the web services available in the repository.","PeriodicalId":157794,"journal":{"name":"2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC)","volume":"122 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133355883","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}
{"title":"Study of Automated Control Methods in Cognitive Maps' Impulse Processes with Suppressing Constrained Disturbances","authors":"V. Romanenko, Y. Milyavsky","doi":"10.1109/SAIC.2018.8516869","DOIUrl":"https://doi.org/10.1109/SAIC.2018.8516869","url":null,"abstract":"In the report control systems for impulse processes in cognitive maps of complex systems are synthesized. Constrained disturbances are suppressed based on invariant ellipsoids method and on H∞ theory in cognitive maps with incompletely measured coordinates of nodes. Synthesized control systems of impulse processes are investigated by means of comparing quality of external disturbances suppression using IT company's cognitive map as an example. Disturbances are in the form of unit step, Gaussian white noise and “colored” noise.","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":"122877808","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}
Yevgeniy V. Bodyanskiy, O. Boiko, Y. Zaychenko, Galib Hamidov
{"title":"Evolving Hybrid GMDH-Neuro-Fuzzy Network and its Applications","authors":"Yevgeniy V. Bodyanskiy, O. Boiko, Y. Zaychenko, Galib Hamidov","doi":"10.1109/SAIC.2018.8516755","DOIUrl":"https://doi.org/10.1109/SAIC.2018.8516755","url":null,"abstract":"In the paper the evolving GMDH-neuro-fuzzy systems (Group Method of Data Handling) are presented. The main advantage of these systems is small number of tuning parameters. It simplifies the training algorithms and decrease training time comparing with classical evolving fuzzy neural networks (EFNN). The architecture and training algorithms for this system are considered. The experimental investigations of the proposed GMDH-neuro-fuzzy systems were carried out in the problem of stock prices forecasting and comparisons with GMDH algorithm and the cascade neuro-fuzzy network were performed that enable their efficiency estimation.","PeriodicalId":157794,"journal":{"name":"2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC)","volume":"520 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":"116704319","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}
{"title":"Analysis of on-Line Computation Effectiveness in Redundant Number System","authors":"I. Dychka, V. Zhabin, V. Zhabina","doi":"10.1109/SAIC.2018.8516877","DOIUrl":"https://doi.org/10.1109/SAIC.2018.8516877","url":null,"abstract":"There is investigated a possibility to increase the effectiveness of computation in systems on chip due to related operations overlap and necessary hardware resource reduction. Computing systems, where computation units are directly connected in accordance with a data flow graph, are considered. The graph nodes correspond to operations, and the arcs correspond to data. Direct data transmission between the units enables to decrease the time spent for complicated procedures of the data interchange with the use of the common address space. It is especially important for fine-grain algorithms realization. There is proposed an algorithm and respective structure of a computation unit that enables to execute two-, three- and four-place operations in on-line mode by means of digit by digit processing of data represented in redundant symmetrical number system. It is shown that the use of computation units that process operands digit by digit enables to execute sequences of operations connected by means of data in the concurrent mode at the level of operand digit processing. In comparison with the use of parallel units, the number of required internal commutation circuits and chip pinouts is reduced due to serial data transmission. Nevertheless, data processing speed is still high. There are given examples of scheme design for calculation of polynomials and many-input rational functions.","PeriodicalId":157794,"journal":{"name":"2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC)","volume":"44 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":"127071338","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}
{"title":"Combinatorial Method for Aggregation of Incomplete Group Judgments","authors":"V. Tsyganok, S. Kadenko, O. Andriichuk, P. Roik","doi":"10.1109/SAIC.2018.8516768","DOIUrl":"https://doi.org/10.1109/SAIC.2018.8516768","url":null,"abstract":"A method for aggregation of expert estimates in small groups is proposed. The method is based on combinatorial approach to decomposition of pair-wise comparison matrices and to processing of expert data. It also uses the basic principles of AHP/ANP approaches, such as building of criteria hierarchy to decompose and describe the problem, and evaluation of objects by means of pair-wise comparisons. It allows to define priorities based on group incomplete pair-wise comparisons and to organize feedback with experts to achieve sufficient agreement of their estimates. Double entropy inter-rater index is suggested for usage as agreement measure. Every expert is given an opportunity to use the scale, in which the degree of detail most adequately reflects this expert's competence in the issue under consideration, for every single pair comparison. The method takes all aspects of individual expert competence into consideration. The method is meant for use in weakly-structured subject domains in the process of strategic planning.","PeriodicalId":157794,"journal":{"name":"2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC)","volume":"9 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":"124869707","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}
{"title":"Image Enhancement in Automatic Mode by Piecewise NonLinear Contrast Stretching","authors":"S. Yelmanov, Y. Romanyshyn","doi":"10.1109/SAIC.2018.8516901","DOIUrl":"https://doi.org/10.1109/SAIC.2018.8516901","url":null,"abstract":"In this paper the problem of rapid (in real-time) image contrast enhancement in automatic mode with an acceptable level of computational costs is considered. The purpose of the work is to improve the efficiency of increasing the overall contrast for complex monochrome images in automatic mode. A new approach to enhance the image contrast by adaptive piecewise nonlinear contrast stretching in an automatic mode is proposed. A new technique to adaptive increase in the overall contrast for complex monochrome images is proposed based on piecewise nonlinear transformation of the dynamic range of image brightness. The paper presents the results of research of the proposed technique and known methods of contrast enhancement using no-reference metrics of contrast.","PeriodicalId":157794,"journal":{"name":"2018 IEEE First International Conference on System Analysis & Intelligent Computing (SAIC)","volume":"52 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":"124699923","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}