{"title":"Proposal for a function generator and extrapolation analysis","authors":"Julian Belz, O. Nelles","doi":"10.1109/INISTA.2015.7276762","DOIUrl":"https://doi.org/10.1109/INISTA.2015.7276762","url":null,"abstract":"We propose a polynomial-based function generator to support decision-making in the context of experimental modeling (identification). The function generator tries to imitate regression problems in engineering applications. Stochastic elements ensure high variability between generated functions, while the user is able to choose a general complexity level defined by the strength of the nonlinearity and the order of interactions. An extension to overcome unfavorable properties of the polynomial-based structure is made. The ability to generate an arbitrary amount of test functions offers the possibility to statistically secure decisions in the development of algorithms or for the modeling task at hand. To demonstrate the abilities of our proposed function generator, it is utilized to pick a strategy for the design of experiments that should be used for the metamodeling of a centrifugal fan. We show, that for the application at hand the inclusion of all corners in the experimental design is destructive for the meta model's generalization performance.","PeriodicalId":136707,"journal":{"name":"2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115752204","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":"Training plan evolution based on training models","authors":"David Schaefer, A. Asteroth, M. Ludwig","doi":"10.1109/INISTA.2015.7276739","DOIUrl":"https://doi.org/10.1109/INISTA.2015.7276739","url":null,"abstract":"Training models have been proposed to model the effect of physical strain on fitness. In this work we explore their use not only for analysis but also to generate training plans to achieve a given fitness goal. These plans have to include side constraints such as, e.g., maximal training loads. Therefore plan generation can be treated as a constraint satisfaction problem and thus can be solved by classical CSP solvers. We show that evolutionary algorithms such as differential evolution or CMA-ES produce comparable results while allowing for more flexibility and requiring less computational resources. Due to this flexibility, it is possible to include well known principles of training science during plan generation, resulting in reasonable training plans.","PeriodicalId":136707,"journal":{"name":"2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114814078","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":"Advanced cooperative decentralized decision making using a cooperative reward system","authors":"P. Pascheka, Michael During","doi":"10.1109/INISTA.2015.7276779","DOIUrl":"https://doi.org/10.1109/INISTA.2015.7276779","url":null,"abstract":"Agents can benefit from cooperative behavior as it intends to increase the total utility. In traffic situations, one agent may behave cooperatively by yielding to another. In recurring situations, this may lead to an imbalanced distribution of the benefit. However, humans prefer balanced utility distributions over imbalanced ones. While state-of-the-art cooperative decentralized decision making may promote such an imbalanced utility distribution, advanced cooperative decentralized decision making can support equality among the agents. Three different approaches are compared: Considering the agents' utilities perfect substitutes, imperfect substitutes, and perfect substitutes with time-variable rates of substitution based on a cooperative reward system. Simulations of a highway scenario reveal the differences in recurring situations: Perfect substitutes indeed maximize total utility, but at the expense of a highly unequal utility distribution that may lead to poor long-term user acceptance; imperfect substitutes promote an equal utility distribution, but leave much of the potential of cooperative behavior unused; introducing a cooperative reward system based on memories of costs is shown to allow for a trade-off between both - altruistic-cooperative behavior without constant preference of one agent over the other, which is assumed to improve user acceptance.","PeriodicalId":136707,"journal":{"name":"2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133230961","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":"Experiments and simulations of wall running and transferring of a climbing robot","authors":"K. Ioi, Y. Shimizu, Masataka Kimura","doi":"10.1109/INISTA.2015.7276782","DOIUrl":"https://doi.org/10.1109/INISTA.2015.7276782","url":null,"abstract":"This paper reports experimental and simulation results of a compact wall-climbing robot. The robot has been developed with the aim to detect or repair inspections and flaws on walls. First, the mechanical structure of the robot is summarized, and the remote and autonomous control system is also described. Next, we focus on running on walls and transferring between two different walls. The experimental results are compared to the simulation results based on the dynamical model of the robot. Two proposed methods for wall transferring are experimentally verified, and these experiments have good agreements with the simulations.","PeriodicalId":136707,"journal":{"name":"2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134092967","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":"Short-term wind speed prediction using several artificial neural network approaches in Eskisehir","authors":"M. A. Duran, Ümmühan Başaran Filik","doi":"10.1109/INISTA.2015.7276743","DOIUrl":"https://doi.org/10.1109/INISTA.2015.7276743","url":null,"abstract":"Due to the negative environmental impact of using fossil energy sources and depletion of fossil fuels, the alternative energy sources are being searched all over the world. Since wind energy is clean and renewable, the penetration of wind energy for electricity generation is increasing day by day. Wind power plants require continuous and appropriate intensity winds. In terms of the reliability and power quality of the power system, the variability of wind energy has led to problems. To minimize these problems, highly accurate wind speed prediction method should be used. In this study, accurate short term wind speed prediction approach is aimed for increasing efficiency of wind energy production. The short term wind speed prediction approached is trained/tested with real three years hourly averaged wind speed values from Eskisehir region of Turkey. Feed forward backpropagation network and Levenberg-Marquardt algorithms are used for analyzing and the identified four network model are compared in terms of mean square error values.","PeriodicalId":136707,"journal":{"name":"2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA)","volume":"220 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115650326","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":"Constraint-based model design for timetabling problems in secondary schools","authors":"Ana Maria Nogareda, David Camacho","doi":"10.1109/INISTA.2015.7276777","DOIUrl":"https://doi.org/10.1109/INISTA.2015.7276777","url":null,"abstract":"In this paper, we propose a constraint-based model for the combination of a course timetabling problem and a course allocation problem for secondary schools in Switzerland. Course timetabling has been widely studied for Universities, but for schools, solutions have only been proposed for specific countries or even for specific schools. In fact, timetabling problems presents the difficulty to be case-specific through specific constraints satisfaction. In addition, due to a recent reform of the education system in Switzerland, the timetabling problem is combined with a course allocation problem that has an important impact on timetables. Indeed, some topics are defined by a curriculum but each student may be assigned to up to five different options depending on past grades and students choices. Both problems, timetabling and allocation must be solved simultaneously and educational objectives are related to both composition of classes and timetables of students. A description of the problem and the educational objectives to consider are presented. Finally, a complete constraint-based model based on hard and soft constraints has been designed to solve the combined problem, both types of constraints are described in detail and a qualitative complexity analysis of this model is given.","PeriodicalId":136707,"journal":{"name":"2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114745144","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":"Temperature sensor fault diagnosing in heavy duty gas turbines using Laguerre network-based hierarchical fuzzy systems","authors":"Ali Chaibakhsh, S. Amirkhani, Pooyan Piredeir","doi":"10.1109/INISTA.2015.7276768","DOIUrl":"https://doi.org/10.1109/INISTA.2015.7276768","url":null,"abstract":"This study present an application of Laguerre network-based hierarchical fuzzy modeling approach in fault diagnosis of the temperature sensors in industrial heavy duty gas turbines. The recorded experimental data from the performances of a V94.2 gas turbine unit were employed in modeling stage. A comparison between the responses of the models and real data indicate the capability of the model for long-term prediction of the turbine outlet temperature at different operating conditions. The differences between the models and measured values were defined as the residuals. To deal with uncertainties and disturbances, the thresholds bounds were considered for the residuals. The residuals deviations with respect to threshold boundaries yield to symptoms, which were analyzed in a Takagi-Sugeno fuzzy inference expert system. The performances of fault detection and fault diagnosis system were evaluated by subjecting the sensors to faults. The obtained results show that the faults are successfully detected and diagnosed.","PeriodicalId":136707,"journal":{"name":"2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127131181","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}