Person: ATİŞ, SELÇUK
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ATİŞ
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SELÇUK
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Publication Metadata only Determination of illuminance level using ANN model(Springer Verlag, 2007) ATİŞ, SELÇUK; Topuz V., Atis S., Kocabey S., Tektas M.In this study, an illuminance determining method, using an artificial neural network (ANN) model, has been designed. The model was realized as an alternative to existing simulation programs to determine the illuminance of a working place. In the model, maintenance factor (MF), working plane (WP), suspension height (SH) of luminaries were selected as input parameters, average illuminance (Eav), minimum illuminance (Emin) and maximum illuminance (Emax) of working plane were selected as output parameters that are the effective parameters in establishment and maintenance of luminance. Comparison between the real time measurements, illuminance simulation program (ISP) and ANN model results has shown that designed ANN model is satisfied. © Springer-Verlag Berlin Heidelberg 2007.Publication Open Access A Study on Electrical Properties of Nanofiber Composites: Effects of PCL/AgNO3/ZnO Concentration Percentages(2022-06-01) POLAT, ZÜHAL; ATİŞ, SELÇUK; TERZİ, ÜMİT KEMALETTİN; Kurt U., Atis S., Polat Z., Tektas M., Terzi Ü. K.Nanofibers with multifunctional properties hold great promise as they allow components for a wide range of medical applications. In this study, zinc oxide, silver nitrate and Polycaprolactone were used in the production of nanofiber composite material by coaxial electrospinning process. PCL concentrations of 5, 10, and 15% by weight were utilized in all of the samples, and different amounts of silver nitrate and zinc oxide were used. Functional groups of silver nitrate, zinc oxide, and Polycaprolactone materials were determined by Fourier transform infrared spectroscopy. Morphological analyzes were carried out with scanning electron microscopy. For all solutions, before coaxial electrospinning, physical properties such as density, liquid state ac conductivity, and viscosity were measured. For the 20 Hz-3 MHz frequency range, after coaxial electrospinning, D-factors and capacitance of nanofiber composite materials were measured and dielectric loss, permittivity, and the solid-state alternating current conductivity were calculated for all solutions. The effects of silver nitrate, zinc oxide, and Polycaprolactone concentration percentages on the solid-state ac conductivity and the dielectric constant were analyzed and comparisons were made with the results obtained.Publication Metadata only Development of an outdoor lighting control system using expert system(ELSEVIER SCIENCE SA, 2016) EKREN, NAZMİ; Atis, Selcuk; Ekren, NazmiIn this study, an intelligent energy-efficient outdoor lighting control system was developed that could be used in green buildings as well as intelligent building functions, and contribute to the reduction of carbon dioxide emissions by using more conservation of electric energy and daylight more efficiently. The intelligent energy-efficient lighting control system was based on expert system is one of the artificial intelligence techniques and has four functions running in real-time. The first function is controlling and monitoring of the lamp groups. The other functions are fault diagnosis in lambs and power lines connected to the lamp groups and the load estimation of lamp groups. The expert system was written in two separate computer and microcontroller based environments by using knowledge-based rules. The rule base of real-time control and monitoring function contains 213 rules. During the education semester operation mode which real-time control and monitoring function was implemented, an average of 33% conservation was achieved in energy consumption. The system is the first expert system application in which an expert system is used to control and monitor outdoor lighting as well as perform load estimate and fault diagnosis. (C) 2016 Elsevier B.V. All rights reserved.Publication Metadata only Implementation of an embedded system for real-time detection of rotor bar failures in induction motors(ELSEVIER SCIENCE INC, 2018) ATİŞ, SELÇUK; Guven, Yilmaz; Atis, SelcukIn this work, the implementation of an embedded system for real-time detection of rotor bar failures in induction motor has been realized. The device is a prototype measurement device which can detect broken rotor bars on the field without any additional setup or third-party software. This study has focused to derive a new method from previous studies on diagnosing of rotor failures and developed a microcontroller based embedded measurement device. A new method which is combining Fast Fourier Transform and Grey Relational Analyses to get best diagnosis results has been developed for an embedded system within a compact and low-cost measurement device. Although, there are some computer-based techniques and motor drivers that can detect internal failures of induction motor, there is no such a measurement device that can do all process by itself.