Sakarya University Journal of Science最新文献_第10页

Electrospun PVDF Membranes Incorporated with Functionalized Carbon-based Material for Removal of Cationic Dyes 含功能化碳基材料的静电纺PVDF膜去除阳离子染料

Sakarya University Journal of Science Pub Date : 2023-01-31 DOI: 10.16984/saufenbilder.1195528

Fatma Demirci, Burçak KAYA ÖZSEL

引用次数: 0

Parameter Estimation of Induction Motors using Hybrid GWO-CS Algorithm 基于混合GWO-CS算法的感应电机参数估计

Sakarya University Journal of Science Pub Date : 2023-01-30 DOI: 10.16984/saufenbilder.1175899

Selçuk Emiroğlu

{"title":"Parameter Estimation of Induction Motors using Hybrid GWO-CS Algorithm","authors":"Selçuk Emiroğlu","doi":"10.16984/saufenbilder.1175899","DOIUrl":"https://doi.org/10.16984/saufenbilder.1175899","url":null,"abstract":"This study investigates a hybrid algorithm between Grey Wolf Optimization (GWO) and Cuckoo Search (CS) algorithms to find the parameters of induction motors. The parameters of the induction motor have been estimated by using the data supplied by the manufacturer. The problem for parameter estimation of the induction motor is formulated as an optimization problem. Then, the optimization problem is solved by using GWO and hybrid algorithm based on GWO and CS algorithms for the estimation of induction motor parameters. Numerical results show that both algorithms are capable of solving the optimization problem for finding the parameters of induction motor. Also, two algorithms and other algorithms such as Differential Evolution (DE), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Shuffled Frog-Leaping Algorithm (SFLA), and Modified Shuffled Frog-Leaping Algorithm (MSFLA) are compared for the problem. The results show that the hybrid GWO-CS algorithm gives a smaller objective value and closer torque value to the manufacturer’s data than the GWO algorithm and several algorithms for motor 1. Hybrid GWO-CS algorithm gives nearly the same results with GWO algorithm for motor 2.","PeriodicalId":21468,"journal":{"name":"Sakarya University Journal of Science","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73559618","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

Basic Larval Structural Composition of Thaumetopoea Pityocampa (Denis & Schiffermüller, 1775) (Lepidoptera:Notodontidae ) During Feeding Inhibition Due to Some Natural Chemicals 一些天然化学物质对取食抑制作用下小齿蛾(Thaumetopoea Pityocampa, Denis & schiffermller, 1775)(鳞翅目:齿蛾科)幼虫的基本结构组成

Sakarya University Journal of Science Pub Date : 2023-01-29 DOI: 10.16984/saufenbilder.1145615

B. Firidin, N. Altun

{"title":"Basic Larval Structural Composition of Thaumetopoea Pityocampa (Denis & Schiffermüller, 1775) (Lepidoptera:Notodontidae ) During Feeding Inhibition Due to Some Natural Chemicals","authors":"B. Firidin, N. Altun","doi":"10.16984/saufenbilder.1145615","DOIUrl":"https://doi.org/10.16984/saufenbilder.1145615","url":null,"abstract":"Thaumetopoea pityocampa (Denis & Schiffermüller, 1775) (Lepidoptera:Notodontidae ) is the most important defoliating insect for several pine species and cedars. In this study, body nutrient composition of T. pityocampa larvae were analyzed under feeding inhibition caused by natural chemical agents. In no-choice assays, larvae were fed ponderosa pine needles treated with oleic acid and chlorogenic acid solutions, respectively, at each of four concentrations, 0%, 25%, 50% and 75%. The neetles were as given to separate test groups. At the end of feeding experiments, antifeedant index (AFI) was calculated for each solutions with different concentrations. Then, rates of protein, lipid, glycogen and water of larvae were calculated for control and test groups. It was determined that there had been a strong relation between concentrations of solution and AFI values regarding oleic acid (r= 0.998, P < 0.05). However, there was no significant relationship between concentrations of solution and AFI values regarding chlorogenic acid (r= 0.663, P > 0.5). The most remarkable finding was a sharp decline in the level of larval glycogen during starvation period in accordance with rising concentrations of both oleic and chlorogenic acid in its food. The glycogen level of the larvae was also affected by both chemical applications","PeriodicalId":21468,"journal":{"name":"Sakarya University Journal of Science","volume":"125 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84912834","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

Comparative Evaluation of Alginate-Gelatin Hydrogel, Cryogel, and Aerogel Beads as a Tissue Scaffold 海藻酸-明胶水凝胶、低温凝胶和气凝胶珠作为组织支架的比较评价

Sakarya University Journal of Science Pub Date : 2023-01-28 DOI: 10.16984/saufenbilder.1098637

Ece Bayir

引用次数: 1

Enhanced Tunicate Swarm Algorithm for Big Data Optimization 面向大数据优化的增强束状虫群算法

Sakarya University Journal of Science Pub Date : 2023-01-19 DOI: 10.16984/saufenbilder.1195700

Emine Baş

{"title":"Enhanced Tunicate Swarm Algorithm for Big Data Optimization","authors":"Emine Baş","doi":"10.16984/saufenbilder.1195700","DOIUrl":"https://doi.org/10.16984/saufenbilder.1195700","url":null,"abstract":"Today, with the increasing use of technology tools in daily life, big data has gained even more importance. In recent years, many methods have been used to interpret big data. One of them is metaheuristic algorithms. Meta-heuristic methods, which have been used by very few researchers yet, have become increasingly common. In this study, Tunicate Swarm Algorithm (TSA), which has been newly developed in recent years, was chosen to solve big data optimization problems. The Enhanced TSA (ETSA) was obtained by first developing the swarm action of the TSA. In order to show the achievements of TSA and ETSA, various classical benchmark functions were determined from the literature. The success of ETSA has been proven on these benchmark functions. Then, the successes of TSA and ETSA are shown in detail on big datasets containing six different EEG signal data, with five different population sizes (10, 20, 30, 50, 100) and three different stopping criteria (300, 500, 1000). The results were compared with the Jaya, SOA, and SMA algorithms selected from the literature, and the success of ETSA was determined. The results show that ETSA has sufficient success in solving big data optimization problems and continuous optimization problems.","PeriodicalId":21468,"journal":{"name":"Sakarya University Journal of Science","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91254617","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: 1

The Application of Rain Water and Solar Energy System on Green Roof One of the Building in the Sakarya University 雨水和太阳能系统在萨卡雅大学建筑绿色屋顶上的应用

Sakarya University Journal of Science Pub Date : 2023-01-18 DOI: 10.16984/saufenbilder.976398

Esra Demi̇rhan, Yasemin DAMAR ARİFOĞLU

{"title":"The Application of Rain Water and Solar Energy System on Green Roof One of the Building in the Sakarya University","authors":"Esra Demi̇rhan, Yasemin DAMAR ARİFOĞLU","doi":"10.16984/saufenbilder.976398","DOIUrl":"https://doi.org/10.16984/saufenbilder.976398","url":null,"abstract":"Nowadays, factors such as consumption of energy sources rapidly, decrease in green areas, air pollution caused by the gas emissions, global warming and individual activities disrupting the balance of the ecosystem have forced the necessary measures to be taken. From this point of view, efficient use of water and energy sources, the ability to find new energy sources, the use of environmentally sensitive materials in the construction sector is very important for the future of the world. Thanks to these measures, it will be possible to prevent climate change and stop global warming. At this point, green roof systems have gained importance, green roof systems are environmentally sensitive systems that reduce heat in the city, prevent air pollution, prevent excess water accumulation in the infrastructure of cities by holding rain water. \u0000In this essay, the history of green roof systems was examined, and information was given about the components, types, layers, environmental and ecological effects of green roofs. There is also information about the types of greening, areas, slopes of some important green roofs in Turkey and other countries.","PeriodicalId":21468,"journal":{"name":"Sakarya University Journal of Science","volume":"119 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87126162","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

Investigation of Vitamins, Glutathione and Stress Biomarkers in Blood Serum of Patients with Breast Cancer 乳腺癌患者血清维生素、谷胱甘肽及应激生物标志物的研究

Sakarya University Journal of Science Pub Date : 2023-01-17 DOI: 10.16984/saufenbilder.1080420

Awat Hamad AWLA IBRAIM, D. Özer, F. Karataş, S. Saydam

引用次数: 0

Feature Analysis For Motor Imagery EEG Signals With Different Classification Schemes 不同分类方案下运动意象脑电信号的特征分析

Sakarya University Journal of Science Pub Date : 2023-01-10 DOI: 10.16984/saufenbilder.1190493

E. Kaya, I. Saritas

引用次数: 0

Examining the Success of Information Gain, Pearson Correlation, and Symmetric Uncertainty Ranking Methods on 3D Hand Posture Data for Metaverse Systems 检验信息增益、Pearson相关和对称不确定性排序方法在三维手姿数据上的成功

Sakarya University Journal of Science Pub Date : 2023-01-10 DOI: 10.16984/saufenbilder.1206968

Cüneyt Yücelbaş, Şule Yücelbaş

{"title":"Examining the Success of Information Gain, Pearson Correlation, and Symmetric Uncertainty Ranking Methods on 3D Hand Posture Data for Metaverse Systems","authors":"Cüneyt Yücelbaş, Şule Yücelbaş","doi":"10.16984/saufenbilder.1206968","DOIUrl":"https://doi.org/10.16984/saufenbilder.1206968","url":null,"abstract":"Metaverse is a hardware and software interface space that can connect people's social lives as in the real-natural world and provide the feeling of being there at the maximum level. In order for metaverse systems to be efficient, many independent accessories have to work holistically. One of these accessories is wearable gloves called meta gloves and equipped with sensors. Thanks to it, an important stage of metaverse systems is completed with the detection of 3-dimensional (3D) hand postures. In this study, the success of Information Gain, Pearson’s Correlation, and Symmetric Uncertainty ranking methods on 3D hand posture data for metaverse systems were investigated. For this purpose, various preprocessing was performed on the 3D data, and a dataset consisting of 15 features in total was created. The created dataset was ranked by 3 different methods mentioned and the features that the methods determined effectively were classified separately. Obtained results were interpreted with various statistical evaluation criteria. According to the experimental results obtained, it has been seen that the Symmetric Uncertainty ranking algorithm produces successful results for metaverse systems. As a result of the classification made with the active features determined using this method, there has been an increase in statistical performance criteria compared to other methods. In addition, it has been proven that time loss can be avoided in the classification of big data similar to the data used.","PeriodicalId":21468,"journal":{"name":"Sakarya University Journal of Science","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75045027","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: 1

Socio-Economic Effects of Covid-19 on Construction Sector in Turkey 新冠肺炎疫情对土耳其建筑业的社会经济影响

Sakarya University Journal of Science Pub Date : 2023-01-08 DOI: 10.16984/saufenbilder.1056858

A. Karslioğlu, Mehmet Hanifi Alkayiş, E. Balaban, M. Onur

引用次数: 0