Cristian Silviu Simionescu, A. Barda, O. Diaconescu
{"title":"Operating Optimization of the Equipment and Machines Using Imposed Lifespan Between Maintenance","authors":"Cristian Silviu Simionescu, A. Barda, O. Diaconescu","doi":"10.1109/MCSI.2017.24","DOIUrl":"https://doi.org/10.1109/MCSI.2017.24","url":null,"abstract":"One of the most important problem of the operating machines is the accidental failures. These failures generates stoppages that disturb the technological flow by introducing delays. The present paper proposes a method to control the working without failure for any equipment or machine. More exactly, each element is designed with an imposed lifespan between maintenance interventions. In these conditions, it is possible to plan precise maintenance intervention stoppages, known beforehand and with minimum stoppage time. In order to achieve these objectives, there are several stages, namely: - Identification and design of all parts, functional role as well as lifespan; - Analyzing lifespan information and setting the optimal operating time for each piece to ensure a minimum number of stoppages to restore working parameters; Re-designing the parts (where applicable) in order to change the lifespan as previously defined. This operation will involve changes in shape or material, with immediate impact, to increase the cost of manufacturing the parts/equipment. This immediate increase is, in the long run, a significant decrease in maintenance and operating costs of the equipment. The proposed method leads to an optimum operation, a maximumworking time without disorder or unpredicted stoppages. The paper analyses a case study which highlights the efficiency of the proposed method.","PeriodicalId":113351,"journal":{"name":"2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124264468","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":"Adaptive Sampling Technique for Computer Network Traffic Parameters Using a Combination of Fuzzy System and Regression Model","authors":"A. Salama, R. Saatchi, D. Burke","doi":"10.1109/MCSI.2017.43","DOIUrl":"https://doi.org/10.1109/MCSI.2017.43","url":null,"abstract":"In order to evaluate the effectiveness of wired and wireless networks for multimedia communication, suitable mechanisms to analyse their traffic are needed. Sampling is one such mechanism that allows a subset of packets that accurately represents the overall traffic to be formed thus reducing the processing resources and time. In adaptive sampling, unlike fixed rate sampling, the sample rate changes in accordance with transmission rate or traffic behavior and thus can be more optimal. In this study an adaptive sampling technique that combines regression modelling and a fuzzy inference system has been developed. It adjusts the sampling according to the variations in the traffic characteristics. The method's operation was assessed using a computer network simulated in the NS-2 package. The adaptive sampling evaluated against a number of non-adaptive sampling gave an improved performance","PeriodicalId":113351,"journal":{"name":"2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125004494","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":"Valuation of Options Under Heston Stochastic Volatility Model Using Wavelets","authors":"D. Cerná, V. Finěk","doi":"10.1109/MCSI.2017.12","DOIUrl":"https://doi.org/10.1109/MCSI.2017.12","url":null,"abstract":"The paper is concerned with option pricing using the Heston stochastic volatility model. The Heston model is represented by parabolic boundary value problem. We use theta scheme for semidiscretization in time and we propose an adaptive wavelet method for solving the boundary value problem on the given time level. Furthermore, we construct a quadratic spline wavelet basis that is adapted to homogeneous Dirichlet boundary conditions on the part of the boundary and Neumann boundary conditions on the remaining part. The main advantage of the method is that the approximate solution is represented by small number of parameters. A numerical example is presented for a European call option.","PeriodicalId":113351,"journal":{"name":"2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)","volume":"305 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122803779","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":"Aspects Regarding Airplane Propeller Flow Field Mathematical Model","authors":"C. Rotaru, G. Răducanu","doi":"10.1109/MCSI.2017.57","DOIUrl":"https://doi.org/10.1109/MCSI.2017.57","url":null,"abstract":"This paper deals with the aerodynamic considerations of propeller design. The optimum blade loading was prescribed according to the condition that requires the trailing vortex system to lie along a helical surface in the ultimate wake. The flow field mathematical model was based on the general theory of the propeller, applied either to free propeller or shrouded one. The equation for induced velocity was solved numerical with Maple soft and the CFD results were obtained in Fluent environment. The velocity field and streamlines show a good behavior of the propeller for a large interval of flight speed and propeller rotational velocity. As compared to the airplane wing, in the case of a propeller blade the induced velocity is concentrated in a more limited area as the diameter of a propeller is smaller than the span of an airplane wing. The pitch to diameter ratio and advanced ratio correspond to a propeller with tow blades and an elliptic platform shape.","PeriodicalId":113351,"journal":{"name":"2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)","volume":"1 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120959113","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":"Acceleration of Grammatical Evolution with Multiple Chromosome by Using Stochastic Schemata Exploiter","authors":"E. Kita, Y. Zuo, H. Sugiura, T. Mizuno","doi":"10.1109/MCSI.2017.40","DOIUrl":"https://doi.org/10.1109/MCSI.2017.40","url":null,"abstract":"Grammatical Evolution (GE), which is one of evolutionary computations, is designed to find the function or the executable program or program fragment that satisfies the design objective. Candidate solutions are described in bit-string or the set of decimal numbers. The translation process from the genotype (bit-string) to the phenotype (function or program) is defined in the list of the translation rules. Candidate solutions are evolved according to the Simple Genetic Algorithm. There are three issues in Grammatical Evolution process; genotype definition, translation rules, and search algorithm. Grammatical Evolution with Multiple Chromosomes (GEMC) is designed for improving the genotype definition. The aim of this study is to improve the search algorithm from Simple Genetic Algorithm to Stochastic Schemata Exploiter for improving the convergence speed. The proposal algorithm “Grammatical Evolution with Multiple Chromosome by Using Stochastic Schemata Exploiter (GEMC-SSE)” is applied for the symbolic regression problem in order to discuss the search performance. The numerical results show that the proposal algorithm has faster convergence speed than the original GEMC.","PeriodicalId":113351,"journal":{"name":"2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116331030","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":"Convergence of Crank-Nicolson Scheme Combined with Wavelet Discretization for the Black-Scholes Equation","authors":"V. Finěk","doi":"10.1109/MCSI.2017.53","DOIUrl":"https://doi.org/10.1109/MCSI.2017.53","url":null,"abstract":"This paper is concerned with numerical solution of the Black-Scholes equation. We apply the Crank-Nicolson scheme for time discretization and Hermite cubic spline wavelets with four vanishing moments for space discretization. The advantages of this approach are higher order accuracy, a small number of iterations needed to resolve the problem with desired accuracy and a high potential in adaptive methods due to the four vanishing wavelet moments. Due to the data irregularities in the model, Crank-Nicolson scheme is often used together with Rannacher startup procedure to achieve second order convergence for approximations of the first derivatives. We numerically show that optimal convergence rate for the proposed scheme is obtained without using startup procedure. Moreover, it is necessary to apply only small number of GMRES iterations to achieve this results.","PeriodicalId":113351,"journal":{"name":"2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132708120","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}
M. Chmielewski, Małgorzata Paciorkowska, Maciej Kiedrowicz
{"title":"A Semantic Similarity Evaluation Method and a Tool Utilised in Security Applications Based on Ontology Structure and Lexicon Analysis","authors":"M. Chmielewski, Małgorzata Paciorkowska, Maciej Kiedrowicz","doi":"10.1109/MCSI.2017.46","DOIUrl":"https://doi.org/10.1109/MCSI.2017.46","url":null,"abstract":"This paper discusses a semantic similarity evaluation method within semantic models represented as ontologies or an instance bases. The capabilities of the method can be used for semantic pattern recognition within knowledge bases, which can be utilised by analytical tools especially in the security domain. The specificity of security applications requires methods for analysis of hidden, in direct, comprehensive and versatile data in search for new knowledge. Proposed method and its implementation in form of ETOSE plugin serves as an analytical process evaluating instance bases. The mechanisms has been designed to operate as a data flow interceptor, collecting the data and transforming them into instances expressed in a specific domain ontology (set of ontology modules). After such migration ETOSE plugin performs evaluation of instance base and provides the analyst mechanisms for identification of hidden associations and patterns. The quantitative approach has been applied in financial fraud identification tasks where certain templates of behaviour and associations can be described. Proposed method and tool utilize structural and lexicon comparison of compared ontologies in order to deliver multicriteria evaluation of concepts, relationships and indirectly implemented axioms. The paper demonstrates the theoretical side of designed method as well as practical examples, developed ontologies and analytical environment application.","PeriodicalId":113351,"journal":{"name":"2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131664195","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}
A. A., B. S., Yergaliyeva A., Nugymanova A., B. Symbat, M. V., Gabitova Z., Shortanbayeva Zh.
{"title":"Simulation of the Aerodynamics and Combustion of a Turbulent Pulverized-Coal Flame","authors":"A. A., B. S., Yergaliyeva A., Nugymanova A., B. Symbat, M. V., Gabitova Z., Shortanbayeva Zh.","doi":"10.1109/MCSI.2017.23","DOIUrl":"https://doi.org/10.1109/MCSI.2017.23","url":null,"abstract":"Over the past decades, the consumption rates of fossil energy resources has not declined, despite fundamental changes in the political, economic and social structures of society. According to experts, the share of coal in the global fuel and energy balance is more than 27%, thanks to which almost 45% of the world's electricity is generated. For each country in the world, the structure of the national energy balance is determined by the availability of its own sources of fuel and energy resources. In the Republic of Kazakhstan, coal reserves are estimated at 30 billion tons, which is 3.4% of the world's coal reserves. However, Kazakhstan's coal is characterized by low calorific value and high ash content, its combustion leads to the formation and delivery of large quantities of pollutants in air, soil and water. Pollution of the atmosphere is one of the global problems of mankind, whose solution is to optimize the combustion process and realization stringent environmental requirements for specific emissions of harmful substances with waste gases. To solve this difficult task, there is a need to improve equipment, introduce new technologies and use alternative methods for organizing a combustion process, the basis of which is to study the processes of heat and mass transfer in the presence of combustion. Irreplaceable powerful method of theoretical research of currents at availability of burning is numerical modelling. The results of a three-dimensional numerical simulation of aerodynamics, temperature flow and carbon oxides are presented. Studies have been carried out for a pulverized-angle flame of various dispersity. A comparative analysis of the obtained results with the results of the field experiment is carried out. The obtained results will allow choosing the optimal variant of the combustion process organization in order to increase its efficiency and reduce the negative impact on the environment.","PeriodicalId":113351,"journal":{"name":"2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115545575","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":"Applications of Multi-Physics Modelling for Simulations of Thermo-Elastic-Plastic Materials","authors":"E. Murashkin, E. Dats","doi":"10.1109/MCSI.2017.64","DOIUrl":"https://doi.org/10.1109/MCSI.2017.64","url":null,"abstract":"The intensive deformation processes of elastic-plastic material are accompanied by heating in the plastic flow domain. The aim of this study is to investigate the coupling of the plastic deformations and temperature during rapid heating. Numericalanalytical algorithm for the coupled thermoelastoplasticity problem is proposed. The boundary value problem of a continuous elastic-plastic ball heating is considered. The analytical solutions for the stress-strain state parameters were earlier obtained under the temperature stresses theory frameworks and piecewise yield criteria. The simultaneous existence of the unloading and plastic flow domains under heating process was shown and analyzed. The nonstationary heat conduction equation has the simplest form in a spherical coordinate system inside unloading domains. Otherwise, the source terms are aroused in the heat conduction equation inside the plastic flow domain.","PeriodicalId":113351,"journal":{"name":"2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)","volume":"1 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116883381","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}
S. Zikos, S. Krinidis, D. Ioannidis, D. Tzovaras, K. Ziazios, I. Metaxa
{"title":"Efficient Location-Aware Scheduling of Maintenance Tasks in Shop Floors","authors":"S. Zikos, S. Krinidis, D. Ioannidis, D. Tzovaras, K. Ziazios, I. Metaxa","doi":"10.1109/MCSI.2017.28","DOIUrl":"https://doi.org/10.1109/MCSI.2017.28","url":null,"abstract":"In this paper, the core functionalities of a state-of-the-art Human Resources (HR) optimization engine of a decision support system (DSS) are presented. The main objective is to schedule maintenance tasks and assign them to human resources. Each task is scheduled and assigned to the most suitable employee based on multiple criteria (such as trade, workload, etc.) by using static and dynamic information. A heuristic branch and bound static scheduling method which creates the initial work schedule given a set of tasks and a list of employees is presented. Furthermore, a dynamic scheduling method which schedules arriving critical tasks in real-time has been extended in order to utilize additional information, such as the position and the availability of assets and employees. Short response times are important when a corrective maintenance task of high priority has to be handled as soon as possible; therefore the distance between an employee and the task’s location is considered. Employees are equipped with sensors for monitoring their current location in real-time. In case sensors are not available, approximate localization is performed indirectly based on context information. A case study demonstrates how the approach works when a critical new task has to be performed.","PeriodicalId":113351,"journal":{"name":"2017 Fourth International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129687996","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}