{"title":"Big Bang Big Crunch based Near-Optimal Guidance Law for Interceptor Problem","authors":"Arunava Banerjee, M. Nabi, T. Kumbasar","doi":"10.23919/ELECO47770.2019.8990571","DOIUrl":"https://doi.org/10.23919/ELECO47770.2019.8990571","url":null,"abstract":"This paper proposes a time-energy near-optimal guidance law for missile-target engagement scenarios. The guidance law uses a nature inspired meta-heuristic optimization algorithm. The classical pure proportional navigation (PPN) guidance law is augmented with a polynomial function of heading error and the parameters of this guidance law are optimally tuned using Big-Bang Big-Crunch (BBBC) algorithm. The pro-posed BBBC tuned all aspect proportional navigation (BBBCPN) guidance law tackles the primary requirement of interception of the target and is also time-energy efficient. Along with initial high heading error, a constraint on the lateral acceleration of the missile is also considered. These two conditions are included to make the guidance problem more realistic and challenging. The proposed guidance law is compared with other standard guidance laws which establishes its effectiveness.","PeriodicalId":6611,"journal":{"name":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"17 1","pages":"790-794"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79473630","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":"Fuzzy Logic Based Low Cost Smart Home Application","authors":"Abdulkadir Gozuoglu, O. Ozgonenel, S. Karagol","doi":"10.23919/ELECO47770.2019.8990409","DOIUrl":"https://doi.org/10.23919/ELECO47770.2019.8990409","url":null,"abstract":"Controlling and monitoring home electrical network smarter form the basis of Smart Grid technology while providing solutions for energy crisis. The aim of this study is implementation of a low-cost intelligent controller system for Smart Homes by using fuzzy logic calculations as an application of home automation and MV network demand management. The controller gets energy meter measurements, temperature, humidity and luminosity values as an input and calculates outputs for managing electrical network of related house. It also calculates the electrical bill and tries to manage electrical equipment inside home for saving the electrical bill. The proposed controller first created and tested in MATLAB environment and then implemented in Arduino microcontroller. Each slave module communicates remotely with main module and NRF24L01 RF module is used for this purpose.","PeriodicalId":6611,"journal":{"name":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"40 1","pages":"64-68"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78616640","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":"Design of An Analog Circuit-Based Artificial Neural Network","authors":"Fikret Basar Gencer, Xhesila Xhafa, Benan Beril Inam, M. Berke Yelten","doi":"10.23919/ELECO47770.2019.8990559","DOIUrl":"https://doi.org/10.23919/ELECO47770.2019.8990559","url":null,"abstract":"In this paper, a feed-forward artificial neural network with a single hidden layer has been realized using analog circuit blocks designed in 90 nm UMC technology. The network is capable of solving non-linearly separable problems and successfully realizes the XOR gate, which is one of the most basic and common non-linear classification problems. The inputs and the weights of the network are represented by the amplitudes of the transient signals. The weights have been calculated through the back-propagation (BP) algorithm. The analog circuit-based learning implementation yields accurate results with the expected outputs.","PeriodicalId":6611,"journal":{"name":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"24 1","pages":"379-383"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76772482","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":"RFID Based Indoors Test Setup for Visually Impaired","authors":"Ingmar Bešić, Z. Avdagić, K. Hodzic","doi":"10.23919/ELECO47770.2019.8990419","DOIUrl":"https://doi.org/10.23919/ELECO47770.2019.8990419","url":null,"abstract":"Visually impaired person might find it very difficult to locate an object that has been even slightly misplaced from its usual position. Unfortunately this is very common situation in a shared environment where multiple individuals can affect object’s position and where visually impaired person cannot rely on object’s position remaining unchanged since the last interaction with the object. In order to independently localize the object of its interest visually impaired person must rely on assistive technology. It is yet very unlikely that any single wearable assistive device will encompass the whole range of object localization scenarios and be universally adoptable to a broad range of environments. In this paper we propose indoors test setup for visually impaired persons by creating RFID based assistive environment – Visual Impairment Friendly RFID Room. The test setup can be used to evaluate RFID object localization and its use by visually impaired persons.","PeriodicalId":6611,"journal":{"name":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"29 1","pages":"465-469"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73167856","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}
Suheyb Bozdemir, Oguzhan Kizilbey, M. Yazgi, O. Palamutçuogullari, B. Yarman
{"title":"A 2.7-2.9 GHz Class-F Power Amplifier with 50W Output Power, %75 Efficiency and Low Harmonic Content","authors":"Suheyb Bozdemir, Oguzhan Kizilbey, M. Yazgi, O. Palamutçuogullari, B. Yarman","doi":"10.23919/ELECO47770.2019.8990654","DOIUrl":"https://doi.org/10.23919/ELECO47770.2019.8990654","url":null,"abstract":"In this paper, a 2.7-2.9 GHz class-F power amplifier with 50-Watt output power, 75% power added efficiency (PAE), 12 dB gain and low harmonic content was designed and simulated by using CGHV40050F Gallium Nitride high electron mobility transistor (GaN HEMT) and NI AWR Microwave Office v14. Realizations are planned to be made on Rogers RT5880 dielectric material which has 0.508 mm thickness and 2.20 dielectric constant.","PeriodicalId":6611,"journal":{"name":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"123 1","pages":"1088-1091"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77654165","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":"ELECO 2019 Call for Papers","authors":"","doi":"10.23919/eleco47770.2019.8990385","DOIUrl":"https://doi.org/10.23919/eleco47770.2019.8990385","url":null,"abstract":"","PeriodicalId":6611,"journal":{"name":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73946150","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":"Comparative Performance Analysis of Constant False Alarm Rate Processors Based on Order Statistics","authors":"Abdullah Akaydın, Mücahit K. Üner","doi":"10.23919/ELECO47770.2019.8990564","DOIUrl":"https://doi.org/10.23919/ELECO47770.2019.8990564","url":null,"abstract":"In this study, the detection performance of constant false alarm rate (CFAR) processors based on reference window cells censoring techniques in nonhomogeneous (interfering targets) environment was investigated. In homogeneous environment, the false alarm and detection probabilities were computed analytically. Their performance analyses were made comparatively with other CFAR processors given in the literature. Also, the performance analyses of these CFAR processors in multiple-target background were done by simulation.","PeriodicalId":6611,"journal":{"name":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"26 1","pages":"542-546"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81816132","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":"Dual Clutch Transmission Plant Modeling in AVL Cruise","authors":"Mehmet Ali Ongun, A. F. Ergenç","doi":"10.23919/ELECO47770.2019.8990537","DOIUrl":"https://doi.org/10.23919/ELECO47770.2019.8990537","url":null,"abstract":"It is aimed to develop a vehicle plant model with a detailed dual clutch transmission (DCT) model. AVL Cruise and Matlab/ Simulink is used as simulation environment. AVL Cruise is a powertrain simulation software in which it is possible the model different powertrains with a special library contains modules. It is used to develop the plant model and simulate it with different driving cycles. Then the model is implemented to Matlab/ Simulink as an S-function. Matlab/ Simulink is used to test the plant model with a transmission control unit (TCU) software. The simulation results in Matlab/ Simulink is compared with the real vehicle data to validate the model in AVL Cruise.","PeriodicalId":6611,"journal":{"name":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"10 1","pages":"845-849"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86611515","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":"Using Local Minimum and Maximum Points in EEG for Diagnosis of Epilepsy","authors":"Seda Şaşmaz Karacan, Hamdi Melih Saraoğlu","doi":"10.23919/ELECO47770.2019.8990609","DOIUrl":"https://doi.org/10.23919/ELECO47770.2019.8990609","url":null,"abstract":"Epilepsy is a neurological disorder, disrupting nerve cell activity and causing seizures and sometimes loss of consciousness, affecting 0.6-0.8 % of the world of population. The most common method for the diagnosis of epilepsy is electroencephalography (EEG). With the help of EEG, nerve cell activity can be monitored noninvasively in a practical way. EEG signals are low amplitude bioelectric signals detected by electrodes from the brain surface. The amplitude of these signals is 1-400 μV from peak to peak, and the frequency band is in the range of 0.5-100 Hz. In this study, it is aimed to diagnose epilepsy from EEG signals obtained from seizure-free periods of people diagnosed with epilepsy. The peaks and troughs of the EEG signals obtained from seizure-free periods of healthy and epileptic individuals have been used as feature. The peaks and troughs, which are determined as feature, have been trained in the Artificial Neural Network (ANN) with the Levenberg-Marquardt model. Achieving 90% accuracy at the end of the training has shown that local maximum and local minimum points can be used to diagnose epilepsy from EEG signals.","PeriodicalId":6611,"journal":{"name":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"3 1","pages":"437-440"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86652552","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":"Evaluation of CMUT Performance Under Different Excitation Signals and Electrode Coverage","authors":"A. Yasar, Fikret Yildiz, O. Eroğul","doi":"10.23919/ELECO47770.2019.8990518","DOIUrl":"https://doi.org/10.23919/ELECO47770.2019.8990518","url":null,"abstract":"CMUT output characteristics with different top electrode coverages were investigated by driving different excitation signals. Membrane displacements were obtained using a Simulink model. Membrane displacements were examined for three cases of electrode coverage, one-quarter, half and entire of the membrane area. The diameter and thickness of the CMUT membrane used in the simulation were 60 pm and 2.6 pm. First, the collapse voltages were found by using numerical calculations. Then these values were analyzed using the Simulink model. It was understood that electrode coverage affected the collapse voltage of CMUT. After that, analyzes were made for AC signals of different types (sawtooth, sine, and square) and different amplitudes DC bias voltages and AC excitation signals. Our results showed that CMUT has the highest displacement in the case of 100% electrode coverage when excited in square signal is used.","PeriodicalId":6611,"journal":{"name":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"21 1","pages":"441-444"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87286724","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}