{"title":"Assessment of moisture content in power transformer based on traditional techniques and Adaptive neuro-fuzzy interference system","authors":"P. Sekatane, J. Jordaan, P. Bokoro","doi":"10.23919/ELECO47770.2019.8990505","DOIUrl":"https://doi.org/10.23919/ELECO47770.2019.8990505","url":null,"abstract":"The use of traditional measurement techniques for condition monitoring of power transformer is still a common practice in the power industry. These techniques have proven to be unreliable as a result of sampling and analysis errors. Given the unequal moisture distribution between cellulose and mineral oil in power transformers, the dryness correlation between the two liquid insulators is not always accurate. The aim of this work is to advice the manufacturer of power transformers to continue use the Dew point measurement or move to the modern methods, like frequency domain spectroscopy (FDS). Dew point measurements have been used to estimate the dryness of power transformers, model the data by adaptive neuro-fuzzy inference system (ANFIS) as is proven to solve complex data and validate the results by Frequency Domain spectroscopy (FDS).","PeriodicalId":6611,"journal":{"name":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"5 1","pages":"987-991"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80124639","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":"Development of an Adaptive Autonomous Emergency Braking System Based on Road Friction","authors":"Abdullah Omer Sevil, Mehmet Canevi, M. Soylemez","doi":"10.23919/ELECO47770.2019.8990620","DOIUrl":"https://doi.org/10.23919/ELECO47770.2019.8990620","url":null,"abstract":"An autonomous emergency braking (AEB) system is a driver assistance system that helps to avoid or mitigate the damages of rear-end collisions. This is achieved by alerting the driver through collision warnings to induce driver initiated braking. If the driver does not react to the warnings issued by the system, then the AEB system starts applying the brakes autonomously. Conventional AEB systems do not take into account the situations that affect the stopping distance such as tire/road friction coefficient and road slope. This paper presents an adaptive AEB system algorithm that adapts the timings of the collision warnings and emergency braking by taken into account the tire/road friction coeffi-cient. The proposed AEB algorithm incorporates wheel slip ratio based friction estimation into its decision making logic. Simulations revealed that the friction estimation is dependent on the vehicle mass and road slope. Due to this reason, mass and road slope estimation are also studied.","PeriodicalId":6611,"journal":{"name":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"11 1","pages":"815-819"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80405865","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}
Bekir Bostanci, S. Tekkok, Emre Soyunmez, Pinar Oguz-Ekim, F. Yeganli
{"title":"The LiDAR and UWB based Source Localization and Initialization Algorithms for Autonomous Robotic Systems","authors":"Bekir Bostanci, S. Tekkok, Emre Soyunmez, Pinar Oguz-Ekim, F. Yeganli","doi":"10.23919/eleco47770.2019.8990648","DOIUrl":"https://doi.org/10.23919/eleco47770.2019.8990648","url":null,"abstract":"This paper covers the source localization algorithm based on the least squares techniques and the squared range measurements obtained from ultra-wide band (UWB) sensors to locate the robot in an indoor environment. Additionally, the initialization algorithm which is based on light detection and Ranging (LiDAR) scans is proposed. It takes the advantage of the estimated location to find the initial orientation of the robot with respect to the previously obtained map. Thus, the crucial problem of the autonomous initialization and localization in robotics is solved. To enable wide-spread adoption, we provide an open source implementation of our algorithms and the modules for the robot operating system (ROS) for real environment. Furthermore, an open source simulation environment is created for applications which employ UWB/LiDAR data.","PeriodicalId":6611,"journal":{"name":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"12 1","pages":"900-904"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75544113","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":"Ultimate Secrecy in Wireless Communications","authors":"A. Eksim, Tolga Demirci","doi":"10.23919/ELECO47770.2019.8990653","DOIUrl":"https://doi.org/10.23919/ELECO47770.2019.8990653","url":null,"abstract":"In this work, communication secrecy in the physical layer for various radio frequencies is examined. Frequencies with the highest level of secrecy in 1-1000 GHz range and their level of communication secrecy are derived. The concept of ultimate secrecy in wireless communications is proposed. Attenuation lines and ranges of both detection and ultimate secrecy are calculated for transmitter powers from 1 W to 1000 W. From results, frequencies with the highest potential to apply bandwidth saving method known as frequency reuse are devised. Commonly used secrecy benchmarks for the given conditions are calculated. Frequencies with the highest attenuation are devised and their ranges of both detection and ultimate secrecy are calculated.","PeriodicalId":6611,"journal":{"name":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"17 1","pages":"682-686"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81323615","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":"Finite Element Method Based Simulations of the Magnetic Fields Around the Overhead Transmission Line and Its Dosimetric Analysis","authors":"K. Ates, S. Ozen, H. F. Carlak","doi":"10.23919/eleco47770.2019.8990507","DOIUrl":"https://doi.org/10.23919/eleco47770.2019.8990507","url":null,"abstract":"In this paper, magnetic field exposure due to overhead transmission line to human body model has been evaluated as the simulation study. Simulations are implemented through COMSOL Multiphysics that is finite element method (FEM) based a commercial software. Human body has been modeled as a two layered cylinder. Upper layer of the cylinder has been indicated as an average skin tissue and the inner layer has been simulated as an average muscle tissue. Also, human head has been modeled and consisted of seven different layers such as skin, outer cortical bone, cancellous bone, inner cortical bone, cerebrospinal fluid (CSF), grey matter and white matter, respectively. Mentioned tissues have been modeled with realistic values at extremely low frequency (ELF) region. Magnetic flux density and induced current density for each tissue have been calculated. While 1474 mA/m2 have been observed as the maximum induced current density at the head model, 353.8 mA/m2 have been obtained at the body model for maximum induced current density value. Obtained results have been discussed in the light of the electromagnetics safety limits published by well-known international organizations.","PeriodicalId":6611,"journal":{"name":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"1 1","pages":"642-645"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82386666","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}
Atakan Yasin Yesilyurt, A. Sakalli, F. Hacioglu, Muhammed Ali Mungan
{"title":"Fuzzy Logic Controller and Load Point Selection Based Fuel-Efficient Hybrid Controller for PSHEVs","authors":"Atakan Yasin Yesilyurt, A. Sakalli, F. Hacioglu, Muhammed Ali Mungan","doi":"10.23919/ELECO47770.2019.8990667","DOIUrl":"https://doi.org/10.23919/ELECO47770.2019.8990667","url":null,"abstract":"The control of Hybrid Electric Vehicles (HEVs) has become one of the trend research topics due to continuous reduction of emission limits. Researchers put effort to combine different HEV powertrains and control strategies to achieve global emission restrictions via reducing fuel consumption without sacrificing performance and desired drivability. In this paper, a Fuzzy Logic Control (FLC) based control strategy is proposed for driving mode selection to operate engine only in required conditions. Besides, a Load Point Selection (LPS) algorithm based on engine’s Brake Specific Fuel Consumption (BSFC) characteristic is used to ensure the engine operation at the efficient region. The proposed hybrid controller algorithm is applied to power-split HEV architecture. The WLTP class-3 drive cycle is used for the validation of the proposed algorithm. The simulation results show the effectiveness of the proposed FLC and LPS based fuel-efficient hybrid control strategy for PSHEVs.","PeriodicalId":6611,"journal":{"name":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"13 1","pages":"835-839"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88035406","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}
Zeynep Ayan, Ziaoulrahman Sediqi, Abdulrahim Evli, M. C. Karakoç, Asaf Behzat Şahin, Ilyas Çankaya
{"title":"A Comparison of Binary Phase Shift Keying and On-Off Keying Modulation in High Data Rate Indoor Wireless Data Transmission at X-Band","authors":"Zeynep Ayan, Ziaoulrahman Sediqi, Abdulrahim Evli, M. C. Karakoç, Asaf Behzat Şahin, Ilyas Çankaya","doi":"10.23919/ELECO47770.2019.8990428","DOIUrl":"https://doi.org/10.23919/ELECO47770.2019.8990428","url":null,"abstract":"In the line with developing technologies, the demand for wireless communication is increased. In this study, it is purposed to realize a high data rate wireless communication system with different modulation techniques binary phase shift keying (BPSK) and on-off keying (OOK) modulations operating at X-band. Data transmission experiment has been conducted with a carrier frequency between 9 GHz and 12 GHz with different data rates up to 3.7 Gbit/s. Bandwidth efficient high data rate wireless communication is observed at X-band, compared to carrier frequency quite considerable data rate is achieved. The experiment is accomplished for the distance which is gradually increased from 5 cm to 160 cm between two antennas. Bit error rate measurements for OOK and BPSK modulations are provided, and also eye-diagram of BPSK modulation is demonstrated.","PeriodicalId":6611,"journal":{"name":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"36 1","pages":"718-721"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82171897","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":"MXene Based Dipole Antennas Involving Effects of Sheet Resistance","authors":"M. Bute","doi":"10.23919/ELECO47770.2019.8990639","DOIUrl":"https://doi.org/10.23919/ELECO47770.2019.8990639","url":null,"abstract":"With the developments of the IoT industry, importance of the antennas emerged tremendously because all IoT devices are involving RF antennas. For that reason, in this study MXene based dipole antennas are proposed for achieving ultra-thin, lightweight wearable devices. Simulations of investigated samples are performed by the full wave electromagnetic computer program CST-Microwave Studio. In addition, return loss and VSWR ratios are plotted between the frequency range 1.5 GHz to 3.5 GHz. Results demonstrated that Mxene based antennas can be promising candidates for wireless IoT devices to communicate each other efficiently.","PeriodicalId":6611,"journal":{"name":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"14 1","pages":"673-675"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84552793","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":"Multi-Sensor Fire Detector based on Trend Predictive Neural Network","authors":"Mert Nakıp, C. Güzelı̇ş","doi":"10.23919/ELECO47770.2019.8990400","DOIUrl":"https://doi.org/10.23919/ELECO47770.2019.8990400","url":null,"abstract":"In this paper, we propose a Trend Predictive Neural Network (TPNN) model, which uses the sensor data and the trend of that data in order to classify the fire situation. We implemented TPNN for data of multi-sensor fire detector with 6 sensors to detect 7 inputs. We test the performance of the TPNN model by using the multi-sensor dataset, which is collected within this study. Our results show that the TPNN model is a fast and accurate model, whose execution time is 0.0132 seconds. Furthermore, TPNN decreases both the false positive and false negative alarm rates to half of the results of the multi-layer perceptron model.","PeriodicalId":6611,"journal":{"name":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"50 1","pages":"600-604"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83780278","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":"Commensurate Evaluation of Support Vector Machine and Recurrent Neural Network MPPT Algorithm for a PV system under different weather conditions","authors":"M. Nkambule, Ali N. Hasan, Ahmed Ali","doi":"10.23919/ELECO47770.2019.8990468","DOIUrl":"https://doi.org/10.23919/ELECO47770.2019.8990468","url":null,"abstract":"The expeditious broadening of Photovoltaic (PV) energy has attracted the private and government precinct world-wide due to the reduction of costs and being cleaner source of energy. However, most of the maximum power point tracking (MPPT) controller are inefficient under rapid change of environmental conditions. Under partial shading conditions (PSC) MPPT controllers fail to track global maximum power point (GMPP). Therefore, it is essential to propose MPPT controller that will be able to locate GMPP. In this study, the two powerful machine learning and deep learning MPPT algorithms are used to force the PV system to operate at higher efficiency under sudden change in solar irradiance and temperature. Support Vector Machine (SVM) and Recurrent Neural Network (RNN) performances are validated and proved using MATLAB SIMULINK simulation software.","PeriodicalId":6611,"journal":{"name":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"90 1","pages":"329-335"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83890612","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}