{"title":"Solving inversion problem for refractivity estimation using Artificial Neural Networks","authors":"C. Tepecik, I. Navruz","doi":"10.1109/ELECO.2015.7394523","DOIUrl":"https://doi.org/10.1109/ELECO.2015.7394523","url":null,"abstract":"Atmospheric refractivity index is one of the most important variable that effects the propagation direction of radio waves. This means a radar or communication system can show unexpected behaviour and performance depending on this variable. Estimation of refractivity characteristics of atmosphere is possible by using radar clutter data. This method is called refractivity from clutter (RFC). RFC is a nonlinear inversion problem. In this work, Artificial Neural Networks are studied to solve inversion problem for refractivity estimation. A training data set had to be prepared to represent ducts with refractivity parameters. Fortunately, learning and generalization capability of Neural Networks (NN) is very helpful in this point, so a good mapping of refractivity parameters can be enough for solving inversion problem.","PeriodicalId":369687,"journal":{"name":"2015 9th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115164475","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}
M. Yuksel, Stefan Losch, S. Kroffke, M. Rohn, F. Kirchner
{"title":"BLDC wheel hub motor and motor controller performance test of a concept electric robotic vehicle in HIL according to real driving characteristics","authors":"M. Yuksel, Stefan Losch, S. Kroffke, M. Rohn, F. Kirchner","doi":"10.1109/ELECO.2015.7394578","DOIUrl":"https://doi.org/10.1109/ELECO.2015.7394578","url":null,"abstract":"In this paper we are presenting a method, which is developed as a part of our framework for designing complex robotic vehicle systems, to test a power train of a robotic concept car according to the real driving characteristic from telemetry data gathered from a subset of a pilot electric vehicle fleet in northern Germany in Hardware-in-the-Loop. Our aim is to investigate the driving performance of our modified BLDC wheel hub motor and its motorcontroller under urban area traffic conditions.","PeriodicalId":369687,"journal":{"name":"2015 9th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125563120","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":"Hardware implementation of novel image compression-encryption system on a FPGA","authors":"A. Bagbaba, Berna Ors","doi":"10.1109/ELECO.2015.7394480","DOIUrl":"https://doi.org/10.1109/ELECO.2015.7394480","url":null,"abstract":"With the development of digital technologies, compression and encryption have become important aspects of information. In many applications, encryption of compressed images is considered vital for hiding data. In this work, we implemented the image compression-encryption hardware on a FPGA. JPEG was used as a compression standard and Tiny Encryption Algorithm was used as an encryption algorithm. Discrete Cosine Transform coefficients were encrypted by using two methods. First, only DC coefficients of each 8×8 block of image were encrypted. Then, along with DC coefficients, first five AC coefficients of each 8×8 block of image were encrypted. In the result, encrypted images and PSNR values were given in order to determine success of the work. This work is novel from the point of view encryption methods.","PeriodicalId":369687,"journal":{"name":"2015 9th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127937044","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":"An ultra low-voltage ultra low-power memristor","authors":"S. Yener, A. Uygur, H. Kuntman","doi":"10.1109/ELECO.2015.7394537","DOIUrl":"https://doi.org/10.1109/ELECO.2015.7394537","url":null,"abstract":"Memristor can provide new approaches especially in nonlinear & chaotic circuit design. Since no commercially available memristor exist until yet, obtaining of a practical implementation which behaves as a memristor, is very important from the point of view real-world circuit design. In this work, an ultra low-voltage ultra low-power DTMOS-based design of memristor is presented. A new ultra low-voltage, ultra low-power operational amplifier and a new ultra low-voltage, ultra low-power multiplier are also proposed to use in the realization. Our design is composed of these two type active blocks using CMOS 0.18μm process technology with symmetric ±0.25V supply voltages. Characteristics and performance of our design is verified by PSPICE simulations. Total power consumption of the proposed memristor is found as just 4.3μW which is suitable for ultra low-power consumption. The simulation results show that our design provides the characteristics of memristor accurately and it could be a viable and convenient option especially in low-voltage low-power memristor based chaotic applications.","PeriodicalId":369687,"journal":{"name":"2015 9th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"440 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123619732","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":"A new image stitching approach for resolution enhancement in camera arrays","authors":"M. Baygin, M. Karakose","doi":"10.1109/ELECO.2015.7394569","DOIUrl":"https://doi.org/10.1109/ELECO.2015.7394569","url":null,"abstract":"The major developments in digital imaging are provided thanks to the development of a digital image sensor. Camera arrays are one of the studies in this area. The camera array is formed by combining a many image sensors having the same characteristics. High resolution and high speed imaging systems can be obtained by using camera arrays. In this paper, a new feature extraction based image stitching algorithm is presented to the camera arrays. One of the advantages of the proposed algorithm, the new high resolution single image is formed by using low resolution image sensors. In the study, camera arrays are formed in 2×4 size by utilizing a different number of image sensors having the same features. The images obtained from the camera arrays is combined with a new image stitching algorithm based on the feature extraction and matching. The performance of the proposed method was tested in real time and validated with experimental results. The results of the algorithm show that the proposed approach gives faster results than a well-known image stitching algorithm.","PeriodicalId":369687,"journal":{"name":"2015 9th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"5 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123690866","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}
M. Farsadi, H. Hosseinnejad, Tohid Sattarpour Dizaji
{"title":"Solving unit commitment and economic dispatch simultaneously considering generator constraints by using nested PSO","authors":"M. Farsadi, H. Hosseinnejad, Tohid Sattarpour Dizaji","doi":"10.1109/ELECO.2015.7394478","DOIUrl":"https://doi.org/10.1109/ELECO.2015.7394478","url":null,"abstract":"Unit Commitment and Economic Dispatching are the most important part of every plant-planning project. Unit Commitment is the problem that searches the economical way for power generation, when the power consumption and altered constraints of the power plants are considered. In addition, economic dispatch as the process of power plants to produce energy at the lowest cost to satisfy consumers and considering any operating limits related to generation and transmission is complement of it and another important intention in power systems. In the past years, these kinds of problems are used to solve just by solving first one of them then another one. In this paper, it's decided to solve this two-parted problem simultaneously. For reaching this goal, it's used Particle Swarm Optimization twice but simultaneously as nested PSO. The other important part is considering some kind of limits that usually faced in these solutions, which is placed in this paper.","PeriodicalId":369687,"journal":{"name":"2015 9th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131572927","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}
S. D. Assimonis, Theofano M. Kollatou, D. Tsiamitros, D. Stimoniaris, T. Samaras, J. Sahalos
{"title":"High efficiency and triple-band metamaterial electromagnetic energy hervester","authors":"S. D. Assimonis, Theofano M. Kollatou, D. Tsiamitros, D. Stimoniaris, T. Samaras, J. Sahalos","doi":"10.1109/ELECO.2015.7394527","DOIUrl":"https://doi.org/10.1109/ELECO.2015.7394527","url":null,"abstract":"This work describes and proposes a new triple-band (GSM 900, DCS 1800, WiFi), highly efficient metamaterial harvester that is capable to operate in wide angles of plane wave incidence. The energy harvesting structure consists of a conventional metamaterial electric resonator, which employs a via that channels all the absorbed RF power to a resistive load. The latter represents the input impendance of a RF-to-DC rectifier. The metamaterial harvester is analyzed in terms of absorbance, power efficiency and power losses mechanism for normal as well as for wide angle incidence. The assets of the proposed model, could be proven to be potentially instructive for various electromagnetic RF energy harvesting configurations.","PeriodicalId":369687,"journal":{"name":"2015 9th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"134 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131590240","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":"Emotion recognition from speech signal using mel-frequency cepstral coefficients","authors":"O. Korkmaz, A. Atasoy","doi":"10.1109/ELECO.2015.7394435","DOIUrl":"https://doi.org/10.1109/ELECO.2015.7394435","url":null,"abstract":"In this paper, mel-frequency cepstral coefficients are investigated for emotional content of speech signal. The features are extracted from spoken utterance. When these features are extracted, speech signal is divided small frames and each frame overlap a part of previous frame. The purpose of this overlap operation is to provide a smooth transition from one frame to the other and, to prevent information loss in the end of the frame. The length of frame and scroll time is important for emotion recognition applications. Also, we investigated the effects of different length frames and scroll times on the classification success of four emotions which are defined as happy, angry, neutral and sad. Those emotions were classified by using Support Vector Machine and k-Nearest Neighbors algorithms. In this study to determine the classification success, 10-Fold Cross Validation method was used and the maximum success rate was obtained as 98.7 %.","PeriodicalId":369687,"journal":{"name":"2015 9th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125254959","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 and application of a novel motorized traction device","authors":"Murat Fidan, M. Çoban","doi":"10.1109/ELECO.2015.7394515","DOIUrl":"https://doi.org/10.1109/ELECO.2015.7394515","url":null,"abstract":"Traction therapy which is a method is frequently used in the treatment of cervical disc hernia and hernia of the loins. Traction devices play big role in this therapy. One of the most commonly used traction device type is motorized traction device. Commercially available tackles apply tractive power to do patient depends on the some parameters which are duration and force level. If patients change their positions during the treatment, tractive power will covary with movement. In this study, motorized traction device has been designed and performed by using load sensors, dc motor and mechanical structure. The system has been controlled via microcontroller. Main focus of this design is to implement precision tractive power to the patient thanks to feedback from the sensors. Also realized traction system is cheaper than the other traction devices.","PeriodicalId":369687,"journal":{"name":"2015 9th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131801808","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}
M. Azadmehr, Truls R. Aagaard, Andre Vike, Richard A. G. Tjosvoll, David Gordon
{"title":"A low pressure organic vapor phase deposition chamber","authors":"M. Azadmehr, Truls R. Aagaard, Andre Vike, Richard A. G. Tjosvoll, David Gordon","doi":"10.1109/ELECO.2015.7394545","DOIUrl":"https://doi.org/10.1109/ELECO.2015.7394545","url":null,"abstract":"In this paper we present a low Cost, low pressure Organic Vapor Phase Deposition chamber. The chamber allows multilayer deposition of organic materials in a same batch. The chamber was made on a very low budget, considering similar systems used in micro component fabrication. Anthracene, an organic material, was deposited onto Indium tin oxide (ITO) coated glass to test and characterize the chamber. Depositing was proved and analyzed regarding uniformity, adhesion and thickness.","PeriodicalId":369687,"journal":{"name":"2015 9th International Conference on Electrical and Electronics Engineering (ELECO)","volume":" 56","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120829551","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}