Sakarya University Journal of Science最新文献

A Detailed Comparison of Two New Heuristic Algorithms Based on Gazelles Behavior 基于瞪羚行为的两种新启发式算法的详细比较

Sakarya University Journal of Science Pub Date : 2024-06-14 DOI: 10.16984/saufenbilder.1399655

Emine Baş

{"title":"A Detailed Comparison of Two New Heuristic Algorithms Based on Gazelles Behavior","authors":"Emine Baş","doi":"10.16984/saufenbilder.1399655","DOIUrl":"https://doi.org/10.16984/saufenbilder.1399655","url":null,"abstract":"In this study, Mountain Gazelle Optimization (MGO) and Gazelle Optimization Algorithm (GOA) algorithms, which have been newly proposed in recent years, were examined. Although MGO and GOA are different heuristic algorithms, they are often considered the same algorithms by researchers. This study was conducted to resolve this confusion and demonstrate the discovery and exploitation success of both algorithms. While MGO developed the exploration and exploitation ability by being inspired by the behavior of gazelles living in different groups, GOA model was developed by being inspired by the behavior of gazelles in escaping from predators, reaching safe environments and grazing in safe environments. MGO and GOA were tested on 13 classical benchmark functions in seven different dimensions and their success was compared. According to the results, MGO is more successful than GOA in all dimensions. GOA, on the other hand, works faster than MGO. Additionally, MGO and GOA were tested on three different engineering design problems. While MGO was more successful in the tension/compression spring design problem and welded beam design problems, GOA achieved better results in the pressure vessel design problem. The results show that MGO improves the ability to explore and avoid local traps better than GOA. MGO and GOA are also compared with three different heuristic algorithms selected from the literature (GSO, COA, and ZOA). According to the results, MGO has shown that it can compete with new algorithms in the literature. GOA, on the other hand, lags behind comparison algorithms.","PeriodicalId":21468,"journal":{"name":"Sakarya University Journal of Science","volume":"32 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141338901","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}

引用次数: 0

Determination of Pesticide Residues in Water Using Extraction Method 利用萃取法测定水中的农药残留量

Sakarya University Journal of Science Pub Date : 2023-10-16 DOI: 10.16984/saufenbilder.1225445

A. Şami̇l, E. Kuşvuran

引用次数: 0

Developing an optimization model for minimizing solid waste collection costs 开发优化模型，最大限度降低固体废物收集成本

Sakarya University Journal of Science Pub Date : 2023-10-06 DOI: 10.16984/saufenbilder.1241012

Semih Cengi̇z, Mehmet Şen, Muciz Özcan

{"title":"Developing an optimization model for minimizing solid waste collection costs","authors":"Semih Cengi̇z, Mehmet Şen, Muciz Özcan","doi":"10.16984/saufenbilder.1241012","DOIUrl":"https://doi.org/10.16984/saufenbilder.1241012","url":null,"abstract":"With the increase in population in cities, the number of solid waste to be collected has also increased. Because the garbage collection route must be traveled repeatedly, even minor improvements in these routes can result in a significant increase in fuel usage. Shortening the journey would provide a significant contribution to lowering fuel expenses in all towns, especially given the rising cost of fossil fuels. Furthermore, lowering fuel usage is critical for Turkey to meet its national objectives under the Paris Agreement. The Simulated Annealing (SA) algorithm, one of the heuristic optimization techniques used to identify the best solutions to complicated problems, is employed to solve the routing problem of solid waste collection vehicles in this study. This method, which was inspired by the metal annealing process, stands out for its ability to avoid regional minima while looking for the optimal solution. The applicant region was selected as the Kosova Neighborhood of Konya's Selçuklu District. The container distances needed for the method to execute were acquired by extracting the coordinates of the containers. Kosova Neighborhood was separated into 7 distinct regions due to the restricted capacity of rubbish collection vans. All regions were analyzed independently, and the best feasible routes were estimated using the SA algorithm approach, and the results were compared to the greedy algorithm findings. The SA algorithm outperformed the greedy algorithm by 26.49%.","PeriodicalId":21468,"journal":{"name":"Sakarya University Journal of Science","volume":"161 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139322414","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}

引用次数: 0

Fractal Approach to Dielectric Properties of Single Walled Carbon Nanotubes Reinforced Polymer Composites 单壁碳纳米管增强聚合物复合材料介电性能的分形研究

Sakarya University Journal of Science Pub Date : 2023-10-03 DOI: 10.16984/saufenbilder.1250945

Aykut ILGAZ, Mehmet BAYIRLI

{"title":"Fractal Approach to Dielectric Properties of Single Walled Carbon Nanotubes Reinforced Polymer Composites","authors":"Aykut ILGAZ, Mehmet BAYIRLI","doi":"10.16984/saufenbilder.1250945","DOIUrl":"https://doi.org/10.16984/saufenbilder.1250945","url":null,"abstract":"In this paper, the internal structure and dielectric properties of unsaturated polyester resin-based neat and single-walled carbon nanotube reinforced composites were comprehensively evaluated with the fractal analysis using the Fast Fourier Transform (FFT). The greyscale images, bitmap (BMP) images and 3D tomographic images were obtained by converting the scanning electron microscope images of the materials. It was observed that the distributions of components in the resin for both materials are irregular and their surfaces exhibit anisotropic behaviors. The surface coating rate (SCR) and fractal dimensionality (FD) of the materials were also calculated using the power spectrum. It has been observed that the fractal dimensionality of the composites can be changed by the doping process and the fractalization of the nanotube doped sample increases compared to the pure material due to nanotube agglomeration, spatial distribution and the orientation. The increase in fractalization as a result of this agglomeration and orientation in carbon nanotubes explains the high dielectric constant values observed at low frequencies by increasing the number and size of carbon nanotubes clusters that act as micro capacitors in certain regions of the matrix. It has been reported that the calculations for the surface coverage ratios for both samples also support these results.","PeriodicalId":21468,"journal":{"name":"Sakarya University Journal of Science","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135743648","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}

引用次数: 0

Evaluation of the Antigenotoxic Effect of Quercetin Against Antiepileptic Drug Genotoxicity by Comet Analysis 通过彗星分析评估槲皮素对抗癫痫药物基因毒性的抗原毒性作用

Sakarya University Journal of Science Pub Date : 2023-10-03 DOI: 10.16984/saufenbilder.1339199

Fadime Canbolat, Nihan AKINCI KENANOĞLU, Tuğba Nurcan Yüksel, A. A. Berber

{"title":"Evaluation of the Antigenotoxic Effect of Quercetin Against Antiepileptic Drug Genotoxicity by Comet Analysis","authors":"Fadime Canbolat, Nihan AKINCI KENANOĞLU, Tuğba Nurcan Yüksel, A. A. Berber","doi":"10.16984/saufenbilder.1339199","DOIUrl":"https://doi.org/10.16984/saufenbilder.1339199","url":null,"abstract":"Valproic acid (VPA) is among the most commonly used antiepileptic drugs in childhood and adult epilepsy. Antioxidants can reverse drugs' toxic and genotoxic effects. Therefore, our study is aimed to evaluate the antigenotoxic protective effect of quercetin (QUE) against VPA genotoxicity by in vitro comet assay analysis method. Comet assay analysis was performed in 5 different groups. Group I; negative control (Sterile H2O), Group II; positive control (H2O2), Group III; VPA was applied in four different dose ranges, Group IV; QUE was applied in four different dose ranges, Group V; For the simultaneous combined administration of VPA and QUE, three different doses of VPA + Four different doses of QUE were administered. Low-dose administration of QUE was more effective in ameliorating the damage caused by low-dose VPA (62.5 μg/ml) administration. It is seen that the genotoxic damage caused by the application of 125 μg/ml VPA can be eliminated by QUE at all doses. It was determined that different doses of QUE exhibited a significant antigenotoxic effect against damage caused by 125 µg/mL VPA (P","PeriodicalId":21468,"journal":{"name":"Sakarya University Journal of Science","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139323884","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}

引用次数: 0

Approximate solutions of nonlinear boundary value problems by collocation methods compared to newer methods. 非线性边界值问题的近似解法与新方法的比较。

Sakarya University Journal of Science Pub Date : 2023-09-27 DOI: 10.16984/saufenbilder.1342645

Birkan Durak, Hasan Ömür Özer, Aziz Sezgi̇n, Lütfi Emir Sakman

引用次数: 0

Progressive Collapse Evaluation of a Reinforced Concrete High-rise Building Designed According to Turkish Earthquake Code 根据土耳其地震规范设计的钢筋混凝土高层建筑的渐进式坍塌评估

Sakarya University Journal of Science Pub Date : 2023-09-26 DOI: 10.16984/saufenbilder.1292075

Munyaradzı Gondobwe, Aydın Demir

引用次数: 0

Thermoelectric Properties of Flexible Polyvinyl Alcohol/Poly (3,4-Ethylenedioxy thiophene)/Titanium Carbide Ternary Composites 柔性聚乙烯醇/聚（3,4-亚乙二氧基噻吩）/碳化钛三元复合材料的热电特性

Sakarya University Journal of Science Pub Date : 2023-09-26 DOI: 10.16984/saufenbilder.1340863

V. Ugraskan

引用次数: 0

Investigation of Effect of Machining Process Parameters on Surface Quality 加工工艺参数对表面质量影响的研究

Sakarya University Journal of Science Pub Date : 2023-09-25 DOI: 10.16984/saufenbilder.1308329

Mehmet Şafak Baran, O. H. Mete

{"title":"Investigation of Effect of Machining Process Parameters on Surface Quality","authors":"Mehmet Şafak Baran, O. H. Mete","doi":"10.16984/saufenbilder.1308329","DOIUrl":"https://doi.org/10.16984/saufenbilder.1308329","url":null,"abstract":"Machining method is the most commonly used manufacturing method in the industry. The product, which is chipped on the raw material with the help of a cutting tool is finalized. The energy required in all these processes is provided by CNC machines. The manufactured product must be within the dimensional and geometric tolerances determined by the designer in order to discharge its functionality. In addition to these tolerances, surface quality is expected especially for powertrains, linear guides, pistons, sealing surfaces, control gauges. In this study, the effect of the process parameters on the surface quality of the milling operation, which is the most commonly used machining method was investigated as experimentally. GG25 cast iron material was used as test material. Experimental design was carried out by using Taguchi L18 orthogonal array and the effect of four process parameters on the surface quality was investigated. ANOVA was carried out in order to investigate the effect of process parameters on experiment results and their statistical significance. The validity of experimental model was investigated by comparing the actual experimental results with the estimated results obtained by Minitab 19. Actual experiment results were converted to S/N ratios by using Taguchi’s smaller is better function and optimum levels of each process parameter on the surface quality were determined.","PeriodicalId":21468,"journal":{"name":"Sakarya University Journal of Science","volume":"128 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139336039","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}

引用次数: 0

Enhancing Brain Tumor Detection on MRI Images Using an Innovative VGG-19 Model-Based Approach 基于VGG-19模型的创新方法增强MRI图像的脑肿瘤检测

Sakarya University Journal of Science Pub Date : 2023-09-18 DOI: 10.16984/saufenbilder.1302803

Abdullah ŞENER, Burhan ERGEN

{"title":"Enhancing Brain Tumor Detection on MRI Images Using an Innovative VGG-19 Model-Based Approach","authors":"Abdullah ŞENER, Burhan ERGEN","doi":"10.16984/saufenbilder.1302803","DOIUrl":"https://doi.org/10.16984/saufenbilder.1302803","url":null,"abstract":"Early detection and diagnosis of brain tumors have a critical impact on the treatment of brain tumor patients. This is because initiating interventions early directly impacts the patient's chances of continuing their life. In the field of medical research, various methods are employed for the detection of brain tumors. Among these methods, magnetic resonance imaging (MRI) is the most popular due to its superior image quality. By leveraging technological advancements, the utilization of deep learning techniques in the identification of brain tumors ensures both high accuracy and simplification of the process. In a conducted study, a new model was developed by utilizing the VGG-19 architecture, a popular convolutional neural network model, to achieve high accuracy in brain tumor detection. In the study, precision, F1 score, accuracy, specificity, Matthews correlation coefficient, and recall metrics were used to evaluate the performance of the developed model. The deep learning model developed for brain tumor detection was trained and evaluated on an open-source dataset consisting of MRI images of gliomas, meningiomas, pituitary tumors, and healthy brains. The results obtained from the study demonstrate the promising potential of using the developed model in clinical applications for brain tumor detection. The high accuracy achieved by the developed model emphasizes its potential as an auxiliary resource for healthcare professionals in brain tumor detection. This research aims to evaluate the model as a valuable tool that can assist physicians in making informed treatment decisions regarding brain tumor diagnosis.","PeriodicalId":21468,"journal":{"name":"Sakarya University Journal of Science","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135255770","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}

引用次数: 0