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Institution

Muş Alparslan University

EducationMuş, Turkey
About: Muş Alparslan University is a education organization based out in Muş, Turkey. It is known for research contribution in the topics: Band gap & Magnetic field. The organization has 259 authors who have published 808 publications receiving 7210 citations.


Papers
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Journal ArticleDOI
30 Dec 2020
TL;DR: In this article, the harmonic evolute surface of quasi binormal surface associated with quasi frame is studied, and the authors obtain some new results about these new surfaces and give some applications for them.
Abstract: In this paper, harmonic evolute surface of quasi binormal surface associated with quasi frame is studied. After constructing quasi binormal surface, we determine harmonic evolute surface of quasi binormal surface by using first and second fundamental forms. We then obtain some new results about these new surfaces and give some applications for them.

4 citations

Proceedings ArticleDOI
01 Oct 2019
TL;DR: The graphical and numerical results obtained from the convergence curve, transient response analysis and frequency response analysis showed that the proposed WOA-SA tuned system has a more stable structure.
Abstract: In this study, an efficient tuning method based on hybrid whale optimization algorithm with simulated annealing (WOA-SA) for optimum parameters setting of proportional + integral + derivative (PID) controller for magnetic ball suspension system is presented. High quality solutions can be achieved via WOA-SA algorithm with balanced local and global search capabilities. Comparative analyzes were conducted to evaluate the performance of the WOA-SA tuned PID controller designed to increase the stability profile of the system. The original whale optimization algorithm (WOA) and simulated annealing (SA) algorithm were used for performance comparison of the hybrid algorithm. The graphical and numerical results obtained from the convergence curve, transient response analysis and frequency response analysis showed that the proposed WOA-SA tuned system has a more stable structure. The essence and novelty of this study is the successful implementation of the proposed hybrid algorithm-based controller design procedure to the magnetic ball suspension system.

4 citations

Journal ArticleDOI
TL;DR: This study compares the accuracy and computation cost with and without skinmicroscopic structures on the outcome of a device for transcutaneous frontal nerve stimulation and finds that Computation cost can be significantly reduced if the skinmicro Scopic structures are ignored.
Abstract: Electrical neuromodulation is widely used to treat and manage neurological disorders. Migraine, a socioeconomic burden, may be treated using this technique. Transcutaneous stimulation of frontal nerves by electrodes placed on the forehead is of interest as it exposes patients to lower levels of risk and side-effects compared with surgical and pharmaceutical solutions and may be readily delivered. The size, shape and placement of the electrodes can be optimised using computational models involving a volume conductor model of anatomical structures and electrodes as well as nerve fibre models. A detailed volume conductor incorporating cell level structures of skin can yield an accurate map of electrical potential distribution due to an electrode setting. However, such a model imposes a very substantial computational cost which may impede the design process. Computation cost can be significantly reduced if the skin microscopic structures are ignored. In this study, we compare the accuracy and computation cost with and without skin microscopic structures on the outcome of a device for transcutaneous frontal nerve stimulation. The performance is presented as the percentage activation of target nerve fibres in response to the level of stimulus current delivered via surface electrodes placed on the forehead. When cell level structures of skin are not incorporated, discretisation time is reduced from 21 h to 0.4 h and the number of finite elements used from 18 M to 1.4 M. Only 1% difference in stimulus current thresholds is observed.

4 citations

Journal ArticleDOI
TL;DR: In this article, a case study is used for analyzing the outcomes of the pandemic-based modeling, the original schedule of the case study ends in 46 days, with durations occurring between 61 to 199 days, the pandeline risks range from 46% to 89%, and the total cost varies from 174,669.8 Turkish Lira to 186,126.7 TL.

4 citations

Journal ArticleDOI
TL;DR: The study of kinetic equations showed that the reaction mechanism of decomposition process in the conversion range studied progressed with D1 mechanism, one-dimensional diffusion of deceleration type of solid state mechanism.
Abstract: A novel copolymer of 2-hydroxy-3-menthyloxy-1-(4-methoxyphenyl)-3-oxopropyl methacrylate (HMOPMA) and methyl methacrylate (MMA), [poly(HMOPMA-co-MMA)], was synthesized by free radical polymerization. The percentages of HMOPMA and MMA units obtained in the copolymer composition were 19% and 81%, respectively. The solubility parameter of poly(HMOPMA-co-MMA) was found to be 10.3 cal(1/2) cm(-3/2) by turbidimetric titration method. Thermal degradation mechanism and activation energies for initial decomposition process under non-isothermal conditions were determined by integral approximation methods from the thermogravimetric study. The decomposition activation energies of poly(HMOPMA-co-MMA) using Kissinger and Flyn-Wall-Ozawa methods were calculated as 119.99 kJ/mol and 125.34 kJ/mol, respectively. The study of kinetic equations showed that the reaction mechanism of decomposition process in the conversion range studied progressed with D1 mechanism, one-dimensional diffusion of deceleration type of solid state mechanism.

4 citations


Authors

Showing all 298 results

NameH-indexPapersCitations
Yusuf Öztürk271482433
Onur Şahin232391979
Talat Körpinar232091456
Ercan Bursal20532080
Zeliha Korpinar1779785
Ertugrul Filiz1588853
Bayram Gündüz1563647
Murat Kayri1458685
Arif Kösemen1334660
Rıdvan Cem Demirkol1337514
Muharrem Ince1134355
Mehmet Cabuk1126316
Hasan Polat1143363
Ersan Aslan1114734
Mustafa Kurban1154336
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202312
202246
2021200
2020130
2019128
201877