Pub Date : 2023-01-31DOI: 10.16984/saufenbilder.1195528
Fatma Demirci, Burçak KAYA ÖZSEL
In this study, polyvinylidene fluoride (PVDF) polymeric membranes with addition of functionalized carbon-based material (CBM) were fabricated by using electrospinning technique for the removal of cationic dyes from wastewater. CBM was prepared through a two-step carbonization process from cotton linter as an agricultural waste biomass. The characterization of CBM was performed by using Brunauer–Emmett–Teller (BET) surface analysis, fourier transform infrared spectrometry (FTIR) and elemental analysis. The morphologies of electrospun membranes were observed by scanning electron microscope (SEM) which clearly revealed that nanofibers with a smooth surface were produced by incorporation of CBM. According to the results obtained from FTIR and differential scanning calorimetry (DSC), crystallization behavior of PVDF membranes was promoted by increasing the percentage of CBM in the membrane. PVDF membrane prepared with the addition of 3 wt % CBM exhibited the highest water flux performance with a dye rejection of 74.6 % in comparison with the pure PVDF one.
{"title":"Electrospun PVDF Membranes Incorporated with Functionalized Carbon-based Material for Removal of Cationic Dyes","authors":"Fatma Demirci, Burçak KAYA ÖZSEL","doi":"10.16984/saufenbilder.1195528","DOIUrl":"https://doi.org/10.16984/saufenbilder.1195528","url":null,"abstract":"In this study, polyvinylidene fluoride (PVDF) polymeric membranes with addition of functionalized carbon-based material (CBM) were fabricated by using electrospinning technique for the removal of cationic dyes from wastewater. CBM was prepared through a two-step carbonization process from cotton linter as an agricultural waste biomass. The characterization of CBM was performed by using Brunauer–Emmett–Teller (BET) surface analysis, fourier transform infrared spectrometry (FTIR) and elemental analysis. The morphologies of electrospun membranes were observed by scanning electron microscope (SEM) which clearly revealed that nanofibers with a smooth surface were produced by incorporation of CBM. According to the results obtained from FTIR and differential scanning calorimetry (DSC), crystallization behavior of PVDF membranes was promoted by increasing the percentage of CBM in the membrane. PVDF membrane prepared with the addition of 3 wt % CBM exhibited the highest water flux performance with a dye rejection of 74.6 % in comparison with the pure PVDF one.","PeriodicalId":21468,"journal":{"name":"Sakarya University Journal of Science","volume":"62 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81075559","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}
Pub Date : 2023-01-30DOI: 10.16984/saufenbilder.1175899
Selçuk Emiroğlu
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.
{"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}
Pub Date : 2023-01-29DOI: 10.16984/saufenbilder.1145615
B. Firidin, N. Altun
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
Thaumetopoea pityocampa (Denis & schiffermller, 1775)(鳞翅目:齿蛾科)是几种松树和雪松最重要的落叶昆虫。本研究分析了天然化学药剂对大斑田鼠幼体摄食抑制作用下的营养成分。在无选择试验中，分别以0%、25%、50%和75%浓度的油酸和绿原酸溶液处理黄松针叶。针刺被分成不同的实验组。饲喂试验结束时，计算不同浓度溶液的拒食指数(AFI)。然后计算对照组和试验组幼虫的蛋白质、脂肪、糖原和水分含量。结果表明，油酸溶液浓度与AFI值有较强的相关性(r= 0.998, P < 0.05)。而绿原酸的溶液浓度与AFI值无显著相关(r= 0.663, P > 0.5)。最显著的发现是，在饥饿期间，幼虫糖原水平急剧下降，与食物中油酸和绿原酸浓度的上升相一致。两种药剂对幼虫糖原水平均有影响
{"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}
Pub Date : 2023-01-28DOI: 10.16984/saufenbilder.1098637
Ece Bayir
Hydrogels are frequently used in tissue engineering and regenerative medicine, drug delivery, and environmental remediation. Alginate and gelatin, which are frequently used natural polymers to form hydrogels, were chosen in this study to form a core-shell structured hydrogel. Cryogels and aerogels were obtained by drying hydrogels with different methods, freeze-drying, and the continuous flow of supercritical CO2, respectively. The potential use of hydrogels, aerogels, and cryogels as a tissue scaffold was evaluated comparatively. Characterizations of materials were determined morphologically by scanning electron microscope and computed-micro tomography, chemically by energy dispersive spectroscopy, and mechanically by the dynamic mechanical analyzer. In addition, the cytotoxic effect of all structures was analyzed by the WST-1 method and the localization of the cells in these structures was determined by microscopic methods. All scaffolds show non-cytotoxic effects, and cryogels have the highest porosity and pore diameter values. The elastic modulus values were
{"title":"Comparative Evaluation of Alginate-Gelatin Hydrogel, Cryogel, and Aerogel Beads as a Tissue Scaffold","authors":"Ece Bayir","doi":"10.16984/saufenbilder.1098637","DOIUrl":"https://doi.org/10.16984/saufenbilder.1098637","url":null,"abstract":"Hydrogels are frequently used in tissue engineering and regenerative medicine, drug delivery, and environmental remediation. Alginate and gelatin, which are frequently used natural polymers to form hydrogels, were chosen in this study to form a core-shell structured hydrogel. Cryogels and aerogels were obtained by drying hydrogels with different methods, freeze-drying, and the continuous flow of supercritical CO2, respectively. The potential use of hydrogels, aerogels, and cryogels as a tissue scaffold was evaluated comparatively. Characterizations of materials were determined morphologically by scanning electron microscope and computed-micro tomography, chemically by energy dispersive spectroscopy, and mechanically by the dynamic mechanical analyzer. In addition, the cytotoxic effect of all structures was analyzed by the WST-1 method and the localization of the cells in these structures was determined by microscopic methods. All scaffolds show non-cytotoxic effects, and cryogels have the highest porosity and pore diameter values. The elastic modulus values were","PeriodicalId":21468,"journal":{"name":"Sakarya University Journal of Science","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74290215","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}
Pub Date : 2023-01-19DOI: 10.16984/saufenbilder.1195700
Emine Baş
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.
{"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}
Pub Date : 2023-01-18DOI: 10.16984/saufenbilder.976398
Esra Demi̇rhan, Yasemin DAMAR ARİFOĞLU
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. In 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.
{"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}
Pub Date : 2023-01-17DOI: 10.16984/saufenbilder.1080420
Awat Hamad AWLA IBRAIM, D. Özer, F. Karataş, S. Saydam
Breast cancer is a genetic disease caused by the accumulation of mutations in neoplastic cells and is responsible for the highest morbidity and mortality. In this study, blood serum samples from 45 breast cancer patient and 32 healty individual (control group) were used. The amounts of vitamins (A, E, β-carotene, C, B1, B2, B3, B5, B6, B9 and B12), glutathione (GSH, GSSG) stress biomarkers (4-HNE, MDA) were determined by HPLC. A significant difference was found between the breast cancer patients and the control group in terms of age and body mass index (BMI) (p
{"title":"Investigation of Vitamins, Glutathione and Stress Biomarkers in Blood Serum of Patients with Breast Cancer","authors":"Awat Hamad AWLA IBRAIM, D. Özer, F. Karataş, S. Saydam","doi":"10.16984/saufenbilder.1080420","DOIUrl":"https://doi.org/10.16984/saufenbilder.1080420","url":null,"abstract":"Breast cancer is a genetic disease caused by the accumulation of mutations in neoplastic cells and is responsible for the highest morbidity and mortality. In this study, blood serum samples from 45 breast cancer patient and 32 healty individual (control group) were used. The amounts of vitamins (A, E, β-carotene, C, B1, B2, B3, B5, B6, B9 and B12), glutathione (GSH, GSSG) stress biomarkers (4-HNE, MDA) were determined by HPLC. A significant difference was found between the breast cancer patients and the control group in terms of age and body mass index (BMI) (p","PeriodicalId":21468,"journal":{"name":"Sakarya University Journal of Science","volume":"110 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76371119","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}
Pub Date : 2023-01-10DOI: 10.16984/saufenbilder.1190493
E. Kaya, I. Saritas
Beyin-Bilgisayar Arayüzü (BCI), bilgiyi doğrudan beyinden harici cihazlara aktaran ve deşifre eden bir iletişim sistemidir. Elektroensefalogram (EEG) tekniği, işlevleri kontrol etmek için beyinde oluşan komutlara karşılık gelen elektrik sinyallerini ölçmek için kullanılır. BCI'de kontrol uygulamaları için kullanılan sinyallere Motor Görüntüsü (MI) EEG sinyalleri denir. EEG sinyalleri gürültülüdür, bu nedenle örüntüleri doğru tanımak için doğru yöntemleri kullanmak önemlidir. Bu çalışmada, Topluluk Altuzay Diskriminantı sınıflandırıcı kullanarak ağları eğitmek için farklı sınıflandırma şemalarının performansları incelendi. Ayrıca, Komşuluk Bileşen Analizi kullanılarak en verimli öznitelik uzayı bulunmuştur. Sağ yön ve sol yöne karşılık gelen MI sinyallerini sınıflandırmada maksimum ortalama doğruluk, konuya özel bir sınıflandırma şeması ve 250 özellik ile %80,4 olarak bulunmuştur.
{"title":"Feature Analysis For Motor Imagery EEG Signals With Different Classification Schemes","authors":"E. Kaya, I. Saritas","doi":"10.16984/saufenbilder.1190493","DOIUrl":"https://doi.org/10.16984/saufenbilder.1190493","url":null,"abstract":"Beyin-Bilgisayar Arayüzü (BCI), bilgiyi doğrudan beyinden harici cihazlara aktaran ve deşifre eden bir iletişim sistemidir. Elektroensefalogram (EEG) tekniği, işlevleri kontrol etmek için beyinde oluşan komutlara karşılık gelen elektrik sinyallerini ölçmek için kullanılır. BCI'de kontrol uygulamaları için kullanılan sinyallere Motor Görüntüsü (MI) EEG sinyalleri denir. EEG sinyalleri gürültülüdür, bu nedenle örüntüleri doğru tanımak için doğru yöntemleri kullanmak önemlidir. Bu çalışmada, Topluluk Altuzay Diskriminantı sınıflandırıcı kullanarak ağları eğitmek için farklı sınıflandırma şemalarının performansları incelendi. Ayrıca, Komşuluk Bileşen Analizi kullanılarak en verimli öznitelik uzayı bulunmuştur. Sağ yön ve sol yöne karşılık gelen MI sinyallerini sınıflandırmada maksimum ortalama doğruluk, konuya özel bir sınıflandırma şeması ve 250 özellik ile %80,4 olarak bulunmuştur.","PeriodicalId":21468,"journal":{"name":"Sakarya University Journal of Science","volume":"316 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73349047","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}
Pub Date : 2023-01-10DOI: 10.16984/saufenbilder.1206968
Cüneyt Yücelbaş, Şule Yücelbaş
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.
{"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}
Pub Date : 2023-01-08DOI: 10.16984/saufenbilder.1056858
A. Karslioğlu, Mehmet Hanifi Alkayiş, E. Balaban, M. Onur
The world has been living tough times both socially and economically because of the novel coronavirus. Social effects of Covid-19 have seen right after precautions taken by governments all around the world. However, precautions brought economical problems. Construction industry is also affected from this situation. To better understand the effect of Covid-19 on construction industry, questionnaire is carried out among people from construction industry. Questions are selected specifically for targeted people in construction industry. Survey is conducted electronically. Participants remained anonymous during survey. Totally 598 participants took part in questionnaire voluntarily. Survey questions are about job safety, finding a new job and precautions. Results indicated that, Covid-19 caused increase in unemployment in construction industry, making it harder to find a new job. This study proves that ordinary workers in the construction industry are the most vulnerable part for Covid -19 pandemic.
{"title":"Socio-Economic Effects of Covid-19 on Construction Sector in Turkey","authors":"A. Karslioğlu, Mehmet Hanifi Alkayiş, E. Balaban, M. Onur","doi":"10.16984/saufenbilder.1056858","DOIUrl":"https://doi.org/10.16984/saufenbilder.1056858","url":null,"abstract":"The world has been living tough times both socially and economically because of the novel coronavirus. Social effects of Covid-19 have seen right after precautions taken by governments all around the world. However, precautions brought economical problems. Construction industry is also affected from this situation. To better understand the effect of Covid-19 on construction industry, questionnaire is carried out among people from construction industry. Questions are selected specifically for targeted people in construction industry. Survey is conducted electronically. Participants remained anonymous during survey. Totally 598 participants took part in questionnaire voluntarily. Survey questions are about job safety, finding a new job and precautions. Results indicated that, Covid-19 caused increase in unemployment in construction industry, making it harder to find a new job. This study proves that ordinary workers in the construction industry are the most vulnerable part for Covid -19 pandemic.","PeriodicalId":21468,"journal":{"name":"Sakarya University Journal of Science","volume":"97 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77102080","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}
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