European Journal of Technic最新文献_第4页

Analysis and Characterization of the Soteria Mosaic in the Antakya Museum with Archeometric Techniques 用考古技术分析和表征安塔基亚博物馆中索塔利亚镶嵌物

European Journal of Technic Pub Date : 2022-12-30 DOI: 10.36222/ejt.1160995

H. Işik, A. Levent

{"title":"Analysis and Characterization of the Soteria Mosaic in the Antakya Museum with Archeometric Techniques","authors":"H. Işik, A. Levent","doi":"10.36222/ejt.1160995","DOIUrl":"https://doi.org/10.36222/ejt.1160995","url":null,"abstract":"Mosaic, like all other branches of art, is one of the most important aesthetic ties that human beings establish with the world. When we look at the mosaic, we can see the changing traces of the past and relive the time that has been forgotten for a long time. Mosaic is an eternal art that has endured natural conditions such as wind and rain and has survived to the present day with slight damages.\u0000This study was carried out in three stages. First, the stone tessera of the Soteria mosaic were color analyzed using the portable Color Detector X-Rite CAPSURE precision color measuring instrument. The tesserae were then analyzed using the Energy Dispersive Portable X-Ray Fluorescence Spectrometer device, which is a non-destructive method for quantitative analysis of its elements. In the next stage, petrographic analysis was performed in laboratory environment to determine the rock type and minerals of 10 stone tessera belonging to the Soteria mosaic.\u0000As a result, the examination of the qualities and contents of the materials used in the mosaics; By establishing a connection between the past, present and future, it will be able to make important contributions in revealing the reasons why the mosaics have survived to the present day.","PeriodicalId":413929,"journal":{"name":"European Journal of Technic","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130579028","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

Thermal Analysis of Insulation Materials Used for Exterior Walls of Buildings Considering the Wind Effect 考虑风效应的建筑外墙保温材料热分析

European Journal of Technic Pub Date : 2022-12-30 DOI: 10.36222/ejt.1051230

A. Uçar

引用次数: 0

PLL-Less Active/Reactive Power Control of Photovoltaic Energy Source with Applying pq-Theory in Single-Phase Grid System 基于pq理论的单相电网光伏电源无锁相环有功/无功控制

European Journal of Technic Pub Date : 2022-12-30 DOI: 10.36222/ejt.1129083

Mehmet Buyuk

{"title":"PLL-Less Active/Reactive Power Control of Photovoltaic Energy Source with Applying pq-Theory in Single-Phase Grid System","authors":"Mehmet Buyuk","doi":"10.36222/ejt.1129083","DOIUrl":"https://doi.org/10.36222/ejt.1129083","url":null,"abstract":"Converter systems are applied to manage active/reactive power control of photovoltaic (PV) source during integration with the electric grid system. The control algorithm of the conventional converter system consists of a reference generation unit, a dc-link voltage control loop, two power control loops and a phase lock loop (PLL) system. PLL unit is used to lock in phase angle of the electric grid, and to perform the coordinate transformation for calculations of the active/reactive powers. However, the control algorithm has a slow dynamic response because of utilisation of a PLL structure. In addition, additional complex mathematical computations are required with the use of a PLL algorithm. Furthermore, the interaction of the PLL and the power control loops may lead power oscillation problems under weak grid, and also result in instability of the PV system. In this study, to avoid the aforementioned issues and to enhance the power flow capability of the grid-connected PV panels, a PLL-less control algorithm in pq-theory is studied for the active/reactive power management and the grid synchronization. In addition, the mathematical formulations of the current control algorithm are presented in detail. To show the effectiveness of the PLL-less controller, a PV system model with using real PV panel groups is designed and constructed in a simulation environment. The proposed control method is tested under various operation cases such as dynamic environmental conditions, reactive power support and voltage variations. The proposed method shows efficient performance under applications of the different operation situations.","PeriodicalId":413929,"journal":{"name":"European Journal of Technic","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124556535","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

Estimation through ANN of Voltage Drop Resulting from Overloads on Power Transformers 电力变压器过载压降的人工神经网络估计

European Journal of Technic Pub Date : 2022-12-30 DOI: 10.36222/ejt.1190240

Onur Akar

{"title":"Estimation through ANN of Voltage Drop Resulting from Overloads on Power Transformers","authors":"Onur Akar","doi":"10.36222/ejt.1190240","DOIUrl":"https://doi.org/10.36222/ejt.1190240","url":null,"abstract":"Along with the increasing population, technological developments and industrialization in the world, the need for electrical energy shows rapid increase day by day. For that reason, it is very important to ensure permanence in the process from the generation of electrical energy to its transmission to consumers. One of the most significant components of power systems is the power transformer, and it plays an important role in the process of energy transmission and distribution. Thus, continuous operation of the power transformers should be ensured for the quality and reliability of the power systems. Despite the institutions in charge of electric power generation, transmission and distribution carry out inspections for the continuous operation of the power transformers, failures resulting from voltage drop arise due to overloads. In this study, the estimation through ANN of voltage drop resulting from overloads was performed using the data of power transformers of different quality. It was observed that the values obtained as the result of estimations through ANN were correct with a rate of 99%. It is considered that this study will set an example for other studies in the field.","PeriodicalId":413929,"journal":{"name":"European Journal of Technic","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131634619","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

Application of Heuristic Assembly Line Balancing Methods to Lighting Automation Industry 启发式装配线平衡方法在照明自动化行业中的应用

European Journal of Technic Pub Date : 2022-12-30 DOI: 10.36222/ejt.1191203

Yelda KARATEPE MUMCU

引用次数: 0

Energy and exergy analysis of hydrogen production on co-gasification of municipal solid waste and coal 城市生活垃圾与煤共气化制氢的能量与火用分析

European Journal of Technic Pub Date : 2022-12-27 DOI: 10.36222/ejt.1070804

Abdülkadir Koçer, Ercument Aksoy, I. Yaka, Afşin Güngör

引用次数: 0

Experimental Investigation of the Variation of Power and Iron-Copper Losses in the Loaded Operation of the Transformer 变压器负荷运行时功率和铁铜损耗变化的实验研究

European Journal of Technic Pub Date : 2022-12-26 DOI: 10.36222/ejt.1196829

M. Özçelik, Ahmet Aycan

引用次数: 0

POWER QUALITY ANALYIS FOR POWER LED DRIVES 电源led驱动器的电能质量分析

European Journal of Technic Pub Date : 2022-12-23 DOI: 10.36222/ejt.1216165

Secil Genc, O. Ozgonenel, Orkut Onat Yi̇ldi̇z, İbrahim Hakki Ki̇li̇c

{"title":"POWER QUALITY ANALYIS FOR POWER LED DRIVES","authors":"Secil Genc, O. Ozgonenel, Orkut Onat Yi̇ldi̇z, İbrahim Hakki Ki̇li̇c","doi":"10.36222/ejt.1216165","DOIUrl":"https://doi.org/10.36222/ejt.1216165","url":null,"abstract":"DC micro grids have grown increasingly popular in the energy grid in recent years, as distributed generation has increased. Distributed generation refers to small or large-scale renewable energy that is linked to the main power system. Renewable energy sources like solar and wind power help the local grid, but their output is inherently intermittent and unpredictable, interfering with regular grid operation. Some of these issues can be mitigated by using energy storage in conjunction with renewable energy. Renewable energy is often linked to the grid using power electronic converters. \u0000The goal of this research is to simulate and evaluate transmitted emissions in the time and frequency planes using IEEE 1459 to investigate the impacts of DC / DC converters on DC lines, particularly for renewable energy generation. While there are standards and norms for frequencies up to 2 kHz and beginning at 150 kHz, the frequency range 2-150 kHz only has suggested techniques and propagation restrictions. As a result, the emission conveyed in the frequency range of 2-150 kHz is a subject that must be comprehended. The structure of the generation model, as well as the idea of power quality in electricity generating models, will be investigated using data collected through experimental and computer simulations on a medium-scale hybrid network connected to the grid. The technological advances acquired will subsequently be utilized to evaluate the power quality of various DC and AC single/three phase power systems (such as computer servers, airplanes, and so on).","PeriodicalId":413929,"journal":{"name":"European Journal of Technic","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122060363","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

EEG based Schizophrenia Detection using SPWVD-ViT Model 基于SPWVD-ViT模型的脑电精神分裂症检测

European Journal of Technic Pub Date : 2022-11-30 DOI: 10.36222/ejt.1192140

Mesut Seker, M. S. Özerdem

{"title":"EEG based Schizophrenia Detection using SPWVD-ViT Model","authors":"Mesut Seker, M. S. Özerdem","doi":"10.36222/ejt.1192140","DOIUrl":"https://doi.org/10.36222/ejt.1192140","url":null,"abstract":"Schizophrenia is a typical neurological disease that affects patients’ mental state, and daily behaviours. Combining image generation techniques with effective machine learning algorithms may accelerate treatment process, and possible early alert systems prevents diseases from reaching out crucial phase. The purpose of current study is to develop an automated EEG based schizophrenia detection with the Vision Transformer (ViT) model using Smoothed Pseudo Wigner Ville Distribution (SPWVD) time-frequency input images. EEG recordings from 35 schizophrenia (sch) and 35 healthy conditions (hc) are analyzed. We have used 5-fold cross validation for evaluation and testing of the method. Classification task is carried out as subject-independent and subject-dependent method. We reached out overall accuracy of 87% for subject-independent and 100% for subject-dependent approach for binary classification. While ViT has ben extensively used in Natural Language Processing (NLP) field, dividing input images within a sequence of embedded image patches via. transformer encoder is a practical way for medical image learning and developing diagnostic tools. SPWVD-ViT model is recommended as a disease detection tool not only for schizophrenia but other neurological symptoms.","PeriodicalId":413929,"journal":{"name":"European Journal of Technic","volume":"26 Pt 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134287166","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

Comparison of robust machine-learning and deep-learning models for midterm electrical load forecasting 鲁棒机器学习和深度学习模型在中期电力负荷预测中的比较

European Journal of Technic Pub Date : 2022-11-16 DOI: 10.36222/ejt.1201977

Fatma Yaprakdal, Fatih Bal

{"title":"Comparison of robust machine-learning and deep-learning models for midterm electrical load forecasting","authors":"Fatma Yaprakdal, Fatih Bal","doi":"10.36222/ejt.1201977","DOIUrl":"https://doi.org/10.36222/ejt.1201977","url":null,"abstract":"Electrical load forecasting (ELF) is gaining importance especially due to the severe impact of climate change on electrical energy usage and dynamically evolving smart grid technologies in the last decades. In this regard, medium-term load forecasting, a crucial need for power system planning (generation optimization and outages plan) and operation control, has become prominent in particular. Machine learning and deep learning-based techniques are currently trending approaches in electrical load estimation due to their capability to model complex non-linearity, feature abstraction and high accuracy, especially in the smart power systems environment. \u0000In this study, several load forecasting models based on machine learning methods which comprise linear regression (LR), decision tree (DT), random forest (RF), gradient boosting, adaBoost, and deep learning techniques such as recurrent neural network (RNN) and long short-term memory (LSTM) are studied for medium-term electrical load demand forecasting at an aggregated level. Performance metric results of these analyzes are presented in detail. State-of-the-art feature selection models are examined on the dataset and their effects on these forecasting methods are evaluated. Numerical results show that forecasting performance can be significantly improved. These results are validated by the results of other studies on the subject and found to be superior.","PeriodicalId":413929,"journal":{"name":"European Journal of Technic","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129959005","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