Pub Date : 2017-05-01DOI: 10.1109/SCM.2017.7970709
E. A. Rodionova, N. Trifonova, M. Epstein, O. Shvetsova
The features of regional innovative clusters are considered and factors that determinate their performance are described. This article examines the problem of the multi-criteria choice of an investment project in regional innovative cluster in risk situation. The study presents the system of performance assessment's indicators defined for regional innovative cluster and algorithm of finding the Pareto set while taking into account interval preference relation. Suggested algorithm can be used by managers to make optimal decisions.
{"title":"Multicriterial approach to estimation of economic efficiency based on regional innovative cluster","authors":"E. A. Rodionova, N. Trifonova, M. Epstein, O. Shvetsova","doi":"10.1109/SCM.2017.7970709","DOIUrl":"https://doi.org/10.1109/SCM.2017.7970709","url":null,"abstract":"The features of regional innovative clusters are considered and factors that determinate their performance are described. This article examines the problem of the multi-criteria choice of an investment project in regional innovative cluster in risk situation. The study presents the system of performance assessment's indicators defined for regional innovative cluster and algorithm of finding the Pareto set while taking into account interval preference relation. Suggested algorithm can be used by managers to make optimal decisions.","PeriodicalId":315574,"journal":{"name":"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117159132","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}
Pub Date : 2017-05-01DOI: 10.1109/SCM.2017.7970656
A. Dorogov
The proposed localization method for graphical objects of scene image is invariant to the illuminance conditions, scale, offset and rotation of the objects. The method is based on a vector representation of scene image and searched object. Model for building of object pattern and algorithm of its recognition are represented. Experimental results for real images are shown.
{"title":"Invariant method of locating graphics objects in flat scenes","authors":"A. Dorogov","doi":"10.1109/SCM.2017.7970656","DOIUrl":"https://doi.org/10.1109/SCM.2017.7970656","url":null,"abstract":"The proposed localization method for graphical objects of scene image is invariant to the illuminance conditions, scale, offset and rotation of the objects. The method is based on a vector representation of scene image and searched object. Model for building of object pattern and algorithm of its recognition are represented. Experimental results for real images are shown.","PeriodicalId":315574,"journal":{"name":"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)","volume":"179 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123421310","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}
Pub Date : 2017-05-01DOI: 10.1109/SCM.2017.7970589
D. Samokhvalov, I. Nosirov
This paper presents the mathematical description of cascade control servo system of the feed drive. A neural network controller is developed in MATLAB/Simulink environment. The comparison between neural network controller and the traditional P-controller is discussed.
{"title":"Feed drive of the metal cutting machines with neural network controller","authors":"D. Samokhvalov, I. Nosirov","doi":"10.1109/SCM.2017.7970589","DOIUrl":"https://doi.org/10.1109/SCM.2017.7970589","url":null,"abstract":"This paper presents the mathematical description of cascade control servo system of the feed drive. A neural network controller is developed in MATLAB/Simulink environment. The comparison between neural network controller and the traditional P-controller is discussed.","PeriodicalId":315574,"journal":{"name":"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128332173","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}
Pub Date : 2017-05-01DOI: 10.1109/SCM.2017.7970682
D. S. Afanasiev, M. Kolbanev, V. Tsehanovsky
The review presents data on the effect of temperature regimes of sensors, air humidity in space and other physical and chemical parameters on work with semiconductor ethanol sensors.
本文介绍了传感器的温度状态、空间空气湿度和其他物理和化学参数对半导体乙醇传感器工作的影响。
{"title":"Physical layer of aromosecurity monitoring system","authors":"D. S. Afanasiev, M. Kolbanev, V. Tsehanovsky","doi":"10.1109/SCM.2017.7970682","DOIUrl":"https://doi.org/10.1109/SCM.2017.7970682","url":null,"abstract":"The review presents data on the effect of temperature regimes of sensors, air humidity in space and other physical and chemical parameters on work with semiconductor ethanol sensors.","PeriodicalId":315574,"journal":{"name":"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128171210","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}
Pub Date : 2017-05-01DOI: 10.1109/SCM.2017.7970503
A. Suvorova
The paper described the structure comparison of Bayesian Belief Network models for individual behavior rate estimate based on data about the last episodes of that behavior. We compared two types of network structures: expert-based and data-based. For model learning and evaluation we used data from social network VKontakte about episodes of publishing posts. The sample size was 3803 users with 785066 posts in total for the half-year period; training dataset included 75% of the sample, the rest 25% were used as test dataset. The data-based structure represented slightly better quality scores, while prediction quality was almost the same: 90.5% accuracy for model with expert-based structure and 89.6% accuracy for data-based model. Hence, both models showed quite similar results that allows, for example, reducing computations and applying expert-based structure for solving practical issues.
{"title":"Models for respondents' behavior rate estimate: Bayesian Network structure synthesis","authors":"A. Suvorova","doi":"10.1109/SCM.2017.7970503","DOIUrl":"https://doi.org/10.1109/SCM.2017.7970503","url":null,"abstract":"The paper described the structure comparison of Bayesian Belief Network models for individual behavior rate estimate based on data about the last episodes of that behavior. We compared two types of network structures: expert-based and data-based. For model learning and evaluation we used data from social network VKontakte about episodes of publishing posts. The sample size was 3803 users with 785066 posts in total for the half-year period; training dataset included 75% of the sample, the rest 25% were used as test dataset. The data-based structure represented slightly better quality scores, while prediction quality was almost the same: 90.5% accuracy for model with expert-based structure and 89.6% accuracy for data-based model. Hence, both models showed quite similar results that allows, for example, reducing computations and applying expert-based structure for solving practical issues.","PeriodicalId":315574,"journal":{"name":"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130209547","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}
Pub Date : 2017-05-01DOI: 10.1109/SCM.2017.7970583
E. Chernetsova, N. I. Kurakina, N. S. Shlygina
Trends in voltage battery charging of wireless sensor in monitoring network are discussed. They are obtained from experiments and interpolated by cubic splines. This makes it possible to get graphical representation of theoretical relation for voltage sensor battery charging versus time.
{"title":"Trends in voltage battery charging of wireless sensor monitoring network","authors":"E. Chernetsova, N. I. Kurakina, N. S. Shlygina","doi":"10.1109/SCM.2017.7970583","DOIUrl":"https://doi.org/10.1109/SCM.2017.7970583","url":null,"abstract":"Trends in voltage battery charging of wireless sensor in monitoring network are discussed. They are obtained from experiments and interpolated by cubic splines. This makes it possible to get graphical representation of theoretical relation for voltage sensor battery charging versus time.","PeriodicalId":315574,"journal":{"name":"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131021662","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}
Pub Date : 2017-05-01DOI: 10.1109/SCM.2017.7970690
I. Fomina, A. V. Zvontsov
The mathematical model describing the way of calculation of costs for maintenance and operation of technological equipment is considered in the article. It can be the first stage for creation of system for assessment of investment projects for technical re-equipment of enterprise economic efficiency.
{"title":"Charge mathematical modeling and calculation of costs of maintenance and operation of process equipment to form a system of evaluating the economic efficiency of investment projects on technical re-equipment of the enterprises","authors":"I. Fomina, A. V. Zvontsov","doi":"10.1109/SCM.2017.7970690","DOIUrl":"https://doi.org/10.1109/SCM.2017.7970690","url":null,"abstract":"The mathematical model describing the way of calculation of costs for maintenance and operation of technological equipment is considered in the article. It can be the first stage for creation of system for assessment of investment projects for technical re-equipment of enterprise economic efficiency.","PeriodicalId":315574,"journal":{"name":"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127915631","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}
Pub Date : 2017-05-01DOI: 10.1109/SCM.2017.7970548
V. Gridin, G. D. Dmitrevich, A. I. Laristov, Usokilo Goan, Said M.A. Al-Noumani
The analysis of the use of CAD CEA DesignLab to optimize the frequency characteristics of electronic circuits is performed. Noted shortcomings of the built-in module optimization Optimizer. It is shown that the modular structure system Design Lab and the use of text files for information exchange allows you to connect an external optimization module OptFreq with advanced features. The requirements for the construction of the module OptFreq are discussed. The proposed architecture is a modified version of the system DesignLab integrated optimization module OptFreq.
对利用CAD CEA DesignLab优化电子电路频率特性进行了分析。注意内置模块优化Optimizer的缺点。结果表明，采用模块化结构的系统设计实验室和使用文本文件进行信息交换，可以将外部优化模块OptFreq与高级功能连接起来。讨论了OptFreq模块的结构要求。所提出的架构是对系统设计实验室集成优化模块OptFreq的改进版本。
{"title":"Optimal design subsystems based on PSpice programs","authors":"V. Gridin, G. D. Dmitrevich, A. I. Laristov, Usokilo Goan, Said M.A. Al-Noumani","doi":"10.1109/SCM.2017.7970548","DOIUrl":"https://doi.org/10.1109/SCM.2017.7970548","url":null,"abstract":"The analysis of the use of CAD CEA DesignLab to optimize the frequency characteristics of electronic circuits is performed. Noted shortcomings of the built-in module optimization Optimizer. It is shown that the modular structure system Design Lab and the use of text files for information exchange allows you to connect an external optimization module OptFreq with advanced features. The requirements for the construction of the module OptFreq are discussed. The proposed architecture is a modified version of the system DesignLab integrated optimization module OptFreq.","PeriodicalId":315574,"journal":{"name":"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128790841","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}
Pub Date : 2017-05-01DOI: 10.1109/SCM.2017.7970619
V. A. Starykh, A. Karasev
Reviews problems of developing the ontological approach-based incident management system (IMS) of decision support system for resolving incidents in information systems. It supports decision-making in variety of subject domains, for example, while training the service staff and system administrators, who are responsible for operation and management of complex information systems. In this case, the incident management system is based on the ontological approach and semiotic modeling. The semiotic model of subject domain under consideration is presented in the form of a graph, where graph vertices are interpreted as objects, and graph edges are interpreted as relations between them. The classification principles used in incident recording are proposed.
{"title":"Decision support system for resolving incidents in information systems, based on the ontological approach","authors":"V. A. Starykh, A. Karasev","doi":"10.1109/SCM.2017.7970619","DOIUrl":"https://doi.org/10.1109/SCM.2017.7970619","url":null,"abstract":"Reviews problems of developing the ontological approach-based incident management system (IMS) of decision support system for resolving incidents in information systems. It supports decision-making in variety of subject domains, for example, while training the service staff and system administrators, who are responsible for operation and management of complex information systems. In this case, the incident management system is based on the ontological approach and semiotic modeling. The semiotic model of subject domain under consideration is presented in the form of a graph, where graph vertices are interpreted as objects, and graph edges are interpreted as relations between them. The classification principles used in incident recording are proposed.","PeriodicalId":315574,"journal":{"name":"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123382402","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}
Pub Date : 2017-05-01DOI: 10.1109/SCM.2017.7970646
Y. Eremenko, D. Poleshchenko, A. Glushchenko, Y. Tsygankov, Yu. A. Kovriznich
Using adaptive resonance theory (ART-2) neural network, a method is proposed to process a signal of power spectral density of surface acceleration of a steel ladle protective pipe manipulator in order to determine the moment preceding the slag discharge from the steel ladle. We compare the spectrum amplitude analysis, the power spectrum analysis, and the power spectral density analysis of the vibration signal from the protective pipe manipulator surface to choose the best approach to create training set for an ART-2 network. It is proved by modeling that the neural network is able to determine the teeming process state preceding the slag discharge from the steel ladle under real production conditions. The results of the research prove the effectiveness of using an ART-2 neural network based classifier to solve the considered problem.
{"title":"ART-2 neural network usage to determine moment of slag discharge during steel teeming process","authors":"Y. Eremenko, D. Poleshchenko, A. Glushchenko, Y. Tsygankov, Yu. A. Kovriznich","doi":"10.1109/SCM.2017.7970646","DOIUrl":"https://doi.org/10.1109/SCM.2017.7970646","url":null,"abstract":"Using adaptive resonance theory (ART-2) neural network, a method is proposed to process a signal of power spectral density of surface acceleration of a steel ladle protective pipe manipulator in order to determine the moment preceding the slag discharge from the steel ladle. We compare the spectrum amplitude analysis, the power spectrum analysis, and the power spectral density analysis of the vibration signal from the protective pipe manipulator surface to choose the best approach to create training set for an ART-2 network. It is proved by modeling that the neural network is able to determine the teeming process state preceding the slag discharge from the steel ladle under real production conditions. The results of the research prove the effectiveness of using an ART-2 neural network based classifier to solve the considered problem.","PeriodicalId":315574,"journal":{"name":"2017 XX IEEE International Conference on Soft Computing and Measurements (SCM)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123076192","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}
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