{"title":"Investigation of Charging Technologies for Electric Vehicles","authors":"Muhammed Sefa Çeti̇n, M. Gençoglu, A. Dobrzycki","doi":"10.55525/tjst.1399120","DOIUrl":"https://doi.org/10.55525/tjst.1399120","url":null,"abstract":"In today's world, internal combustion engine vehicles are widely used. These vehicles cause harmful emissions as they use fossil fuels for engine propulsion and vehicle movement. To address this issue, electric vehicles have been considered as a solution. In electric vehicles, electric motors are used instead of traditional internal combustion engines and the necessary electrical energy is supplied from battery packs. In this way, electric vehicles do not cause harmful emissions to the environment. If the energy required for electric vehicle charging stations is obtained from renewable energy systems, electric vehicles will be zero-emission vehicles. Battery packs, that provide energy for electric vehicles, typically consist of rechargeable Lithium-ion battery groups and they can be charged using fast charging technology. In this study, the future of transportation, electric vehicles and the standards and technologies used in electric vehicle charging stations have been examined. Additionally, an electric vehicle system has been designed using MATLAB/Simscape.","PeriodicalId":516893,"journal":{"name":"Turkish Journal of Science and Technology","volume":"47 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140508711","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}
{"title":"Increasing strength of clay soils with the use of basalt fiber: An experimental study","authors":"Yasemin Aslan Topcuoglu, Zülfü Gürocak","doi":"10.55525/tjst.1398354","DOIUrl":"https://doi.org/10.55525/tjst.1398354","url":null,"abstract":"Due to the increase in population, the demand for buildings increases. Engineering properties of the soils on which these structures will be built may not always meet the desired conditions. In such cases, soil improvement methods are used. One of these methods is additive used stabilization, in which additives such as lime, fly ash, volcanic ash and tuff, silica fume and blast furnace slag are used. This method has been used successfully for years. However, in recent years, interest in the use of different types of fibers has increased. Some of these fibers are glass, basalt, polypropylene and carbon. Especially basalt fibers have begun to attract attention in soil reinforcement applications due to the properties of their raw material, basalt rock, which is widely distributed in nature, natural and has high strength. In this study, the effect of basalt fiber reinforcement on the unconfined compressive strength of high plasticity bentonite clay was revealed. For this purpose, 12 mm length basalt fiber in different proportions (1%, 2%, 3%, 4% and 5%) was used as reinforcement in bentonite clay and the optimum fiber ratio that provided the maximum increase in strength was determined. According to the results of the study, when 12 mm length basalt fiber was used as reinforcement in bentonite clay, the maximum strength value was obtained at 4% basalt fiber ratio. However, at values higher than this ratio, the strength value decreased. It has been determined that basalt fiber reinforcement improves the strength properties of bentonite clay.","PeriodicalId":516893,"journal":{"name":"Turkish Journal of Science and Technology","volume":"37 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140508734","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}
{"title":"Weighted Visibility Graph Based WiFi Indoor Positioning Method Using Heuristic Optimization","authors":"Turan Goktug Altundogan, Mehmet Karaköse","doi":"10.55525/tjst.1254099","DOIUrl":"https://doi.org/10.55525/tjst.1254099","url":null,"abstract":"With the widespread use of wireless communication technologies and IoT applications, researchers are \u0000developing approaches that utilize WiFi signals for indoor location determination. In this study, indoor positioning process \u0000based on heuristic optimization-based methods was performed by creating weighted visibility matrices of access points based on WiFi signal strength (RSSI) values. In the proposed method, the PSO and GA approaches determine the position of the mobile user using a common fitness function based on the visibility weight matrices. The proposed method has been tested on a virtual scenario where position ranges based on RSSI ranges are determined. Both heuristic optimization methods are compared according to different criteria and the positioning process is performed with a maximum error of 3m for the GA based method and a maximum of 1.5m for the PSO based method.","PeriodicalId":516893,"journal":{"name":"Turkish Journal of Science and Technology","volume":"20 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140509099","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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