Turkish Journal of Engineering and Environmental Sciences最新文献_第8页

PRODUCTION OF NEW TYPE INSULATION MATERIAL: EXPANDED PERLITE-SILICA AEROGEL COMPOSITE 生产新型保温材料:膨胀珍珠岩-硅胶气凝胶复合材料

Turkish Journal of Engineering and Environmental Sciences Pub Date : 2021-07-01 DOI: 10.31127/tuje.674035

Ö. Güler, Öyküm Başgöz, Cagdas Yavuz

引用次数: 1

The Modelling, Simulation, and Implementation of Wireless Power Transfer for an Electric Vehicle Charging Station 电动汽车充电站无线电力传输的建模、仿真与实现

Turkish Journal of Engineering and Environmental Sciences Pub Date : 2021-06-29 DOI: 10.31127/tuje.930933

Mehmet Çi̇çek, Mustafa Gençtürk, S. Balci, K. Sabanci

引用次数: 4

Clarifying the impact of climatic parameters on vegetation in Moulvibazar district 阐明气候参数对Moulvibazar地区植被的影响

Turkish Journal of Engineering and Environmental Sciences Pub Date : 2021-06-06 DOI: 10.31127/tuje.930293

Mst. Mahbuba Khatun, D. Chakraborty, Ifterkharul Alam

{"title":"Clarifying the impact of climatic parameters on vegetation in Moulvibazar district","authors":"Mst. Mahbuba Khatun, D. Chakraborty, Ifterkharul Alam","doi":"10.31127/tuje.930293","DOIUrl":"https://doi.org/10.31127/tuje.930293","url":null,"abstract":"In this research, the temporal trends of vegetation from 2000 to 2019 as well as meteorological variables contribution to vegetation change were investigated using the GLAM NDVI, rainfall and temperature data. The MAKESENS revealed that the vegetation growth rate was slow, particularly on a yearly time scale. On the other hand, the rainfall and temperature had a major impact on vegetation growth on a monthly-time scale with a time lag. The lagged effect of rainfall and temperature on vegetation was shown to be a promotion (based on cross-correlation analysis). There was high value of r (0.804) between vegetation and rainfall for a certain lag period, which was significant ( P ≤ 0.05) as per the cross-correlation. Rainfall had a 4-month lag effect on vegetation development, while temperature had a 5 ( r = 0.74), − 2 ( r = 0.84), − 3 ( r = 0.68) month lag effect on vegetation growth. This study's findings revealed changes in vegetation and highlighted the importance of rainfall and temperature in regulating vegetation dynamics. Finally, this study recommended that the effect of more climatic variables on vegetation should be investigated in the context of human activities to better conserve the environment.","PeriodicalId":23377,"journal":{"name":"Turkish Journal of Engineering and Environmental Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80510440","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

Strengthening of Fire Damaged Reinforced Beams by using Ferrocement 火损钢筋梁的钢筋混凝土加固

Turkish Journal of Engineering and Environmental Sciences Pub Date : 2021-05-31 DOI: 10.31127/tuje.925199

A. Amin, Shorup Tamal, A. Bari, Milan Mazumder, Md. Ariful Hasan

引用次数: 1

Molecular Dynamic Simulation of Uniaxial Stress Strain Applied to α-Fe Nanowire α-Fe纳米线单轴应力应变的分子动力学模拟

Turkish Journal of Engineering and Environmental Sciences Pub Date : 2021-05-07 DOI: 10.31127/tuje.888891

S. Kazanç, C. Aksu Canbay

引用次数: 0

An Experimental Study of the Performance of a Low-Cost Paper-Based Membraneless Direct Hydrogen Peroxide Fuel Cell 低成本纸基无膜直接过氧化氢燃料电池性能的实验研究

Turkish Journal of Engineering and Environmental Sciences Pub Date : 2021-04-07 DOI: 10.31127/TUJE.891626

Muhammet Çelik

引用次数: 1

REMOVAL OF COD AND SURFACTANTS FROM GREY WATER BY FEN-TON TYPE PROCESSES 分吨法去除中水中的cod和表面活性剂

Turkish Journal of Engineering and Environmental Sciences Pub Date : 2021-04-01 DOI: 10.31127/tuje.674021

S. Şahinkaya, Gamze Özgüroğlu

引用次数: 0

WIND POWER PLANT LAYOUT OPTIMIZATION USING PARTICLE SWARM OPTIMIZATION 基于粒子群算法的风电场布局优化

Turkish Journal of Engineering and Environmental Sciences Pub Date : 2021-04-01 DOI: 10.31127/tuje.698856

I. Çelik, C. Yıldız, M. Sekkeli

{"title":"WIND POWER PLANT LAYOUT OPTIMIZATION USING PARTICLE SWARM OPTIMIZATION","authors":"I. Çelik, C. Yıldız, M. Sekkeli","doi":"10.31127/tuje.698856","DOIUrl":"https://doi.org/10.31127/tuje.698856","url":null,"abstract":"The use of wind energy has rapidly increased in recent years. In parallel with this rapid increase, Wind Power Plant (WPP) installation has become an important research topic. The selection of wind turbine location in WPP installation effects turbine output power. If the appropriate turbine position is not selected, the total generation of WPP is decreased. The purpose of this study was to determine the locations that wind turbines can achieve the highest energy generation. In this study, an optimization model was proposed to achieve the best WPP layout. In the first stage, field data and Wind Atlas Analysis and Application Program (WAsP) software were used to obtain wind speed distributions in the region where the WPP will be installed. . These distributions were used in the developed optimization model in MATLAB. The actual power curve of a wind turbine was used in the model to calculate energy generation. In the second stage, the locations of the wind turbine were determined by particle swarm optimization (PSO) method. In the final stage, the results of developed MATLAB model were compared with WASP to check accuracy. The difference between MATLAB model and WAsP software was found as 0.04%. This result showed that this model performed a calculation with acceptable accuracy. In addition, it was seen that wind turbines were located to the high wind velocity regions with the solution of the developed optimization model.","PeriodicalId":23377,"journal":{"name":"Turkish Journal of Engineering and Environmental Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90527856","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: 4

CLASSIFICATION OF UAV POINT CLOUDS BY RANDOM FOREST MACHINE LEARNING ALGORITHM 基于随机森林机器学习算法的无人机点云分类

Turkish Journal of Engineering and Environmental Sciences Pub Date : 2021-04-01 DOI: 10.31127/tuje.669566

M. Zeybek

{"title":"CLASSIFICATION OF UAV POINT CLOUDS BY RANDOM FOREST MACHINE LEARNING ALGORITHM","authors":"M. Zeybek","doi":"10.31127/tuje.669566","DOIUrl":"https://doi.org/10.31127/tuje.669566","url":null,"abstract":"Today, unmanned aerial vehicle (UAV)-based images have become an important data sources for researchers who deals with mapping from various disciplines on photogrammetry and remote sensing. Reconstruction of an area with three-dimensional (3D) point clouds from UAV-based images are an essential process to be used for traditional 2D cadastral maps or to produce a topographic maps. Point clouds should be classified since they subjected to various analyses for extraction for further information from direct point cloud data. Due to the high density of point clouds, data processing and gathering information makes the classification of point clouds a challenging task and may take a long time. Therefore, the classification processing allows an optimal solution to acquire valuable information. In this study, random forest machine learning algorithm for classification processing is applied with radiometric features (Red band, Green band and Blue band) and geometric characteristics derived from covariance feature (curvature, omnivariance, flatness, linearity, surface variance, anisotropy and normalized terrain surface) of points. In addition, the case study is presented in order to test applicability of the proposed methodology to acquire an accuracy and performance of random forest method on the UAV based point cloud. After the classification processing, a class assigned each point from the model was compared with the reference data class. Lastly, the overall accuracy of the classification was achieved as 96% and the Kappa index was reached to 91% on data set.","PeriodicalId":23377,"journal":{"name":"Turkish Journal of Engineering and Environmental Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82773791","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: 16

Retrieving the SNR metrics with different antenna configurations for GNSS-IR 检索GNSS-IR不同天线配置下的信噪比指标

Turkish Journal of Engineering and Environmental Sciences Pub Date : 2021-03-28 DOI: 10.31127/TUJE.870620

Cem Altuntas, N. Tunalioglu

{"title":"Retrieving the SNR metrics with different antenna configurations for GNSS-IR","authors":"Cem Altuntas, N. Tunalioglu","doi":"10.31127/TUJE.870620","DOIUrl":"https://doi.org/10.31127/TUJE.870620","url":null,"abstract":"Multipath, which is a major source of error for precise positioning, is the effect that occurs when Global Navigation Satellite Systems (GNSS) signals reach the receiver by reflecting from one or more surfaces. Reflected signals affect the signal-to-noise ratio (SNR) data provided by the receiver, indicating the signal strength. The structure of the antenna of the receiver and the direction in which it is oriented also change the strength of the received signal. In this study, the effect of antenna orientation and polarization on SNR data was demonstrated by using the method called GNSS-Interferometric Reflectometry (GNSS-IR), in terms of reflector height estimates. A geodetic GNSS receiver (CHC i50) and two different smartphones (Xiaomi Mi8 and Xiaomi Mi8 Lite) were used in the four-day experiments. The geodetic receiver was established as zenith-looking (ZL) in the first two days and as horizon-looking (HL) in the last two days. Smartphones were placed on the same mast with the HL receiver in the last two days. It was seen that it is more appropriate to use a 0°-60° satellite elevation angle range in the common use of all receivers’ data. In the 30°-60° range where the ZL installation receives the multipath signals weakly, it has been found that the HL receiver and smartphones have reflector height estimation accuracies with values ranging from 1.9 cm to 2.5 cm. In short, for different elevation angle ranges, accuracies below 2 cm could be obtained with each receiver. Thus, different antenna configurations may be used in GNSS-IR studies, depending on the characteristics of the study area and the surface feature to be determined.","PeriodicalId":23377,"journal":{"name":"Turkish Journal of Engineering and Environmental Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76633451","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