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2013 International Conference on Electronics, Computer and Computation (ICECCO)最新文献

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The Application of optical character recognition for mobile device via artificial neural networks with negative correlation learning algorithm 基于负相关学习算法的人工神经网络在移动设备光学字符识别中的应用
2013 International Conference on Electronics, Computer and Computation (ICECCO) Pub Date : 2013-11-01 DOI: 10.1109/ICECCO.2013.6718268
Burcu Kir, C. Oz, A. Gulbag
{"title":"The Application of optical character recognition for mobile device via artificial neural networks with negative correlation learning algorithm","authors":"Burcu Kir, C. Oz, A. Gulbag","doi":"10.1109/ICECCO.2013.6718268","DOIUrl":"https://doi.org/10.1109/ICECCO.2013.6718268","url":null,"abstract":"In this study, optical character recognition (OCR) was carried out by using artificial neural network. Negative correlation learning (NCL) method was used to teach artificial neural network. Negative correlation learning, which trains artificial neural networks in groups instead of teaching them individually, is a new technique. By teaching different individual networks as only one network, different parts can be taught at the same time and with this feature teaching will be better and teaching time will be shorter. In this study, image taken with mobile phone were partitioned by processing optical character recognition techniques and their properties were determined. After these letters' images was classified and converted into text by using artificial neural network ensemble which were taught by negative correlation learning respectively. This system work successfully.","PeriodicalId":354057,"journal":{"name":"2013 International Conference on Electronics, Computer and Computation (ICECCO)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116630760","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: 6
A channel state prediction for multi-secondary users in a cognitive radio based on neural network 基于神经网络的认知无线电多辅助用户信道状态预测
2013 International Conference on Electronics, Computer and Computation (ICECCO) Pub Date : 2013-11-01 DOI: 10.1109/ICECCO.2013.6718263
Nakisa Shamsi, A. Mousavinia, Hadi Amirpour
{"title":"A channel state prediction for multi-secondary users in a cognitive radio based on neural network","authors":"Nakisa Shamsi, A. Mousavinia, Hadi Amirpour","doi":"10.1109/ICECCO.2013.6718263","DOIUrl":"https://doi.org/10.1109/ICECCO.2013.6718263","url":null,"abstract":"Sensing the spectrum and accessing it are two important challenges for any secondary user who wants to use the available communication channel in a cognitive radio system. This spectrum utilization can be improved by secondary users through using free licensed channels in the absence of the primary user. In this work, we seek two objectives, channel estimation in predictive modeling scenario and multi-secondary user scenario using Artificial Neural Networks. Time Delay Neural Network (TDNN) and Recurrent Neural Network (RNN) have been selected to design the predictor. The accuracy of this forecasting can easily improve the spectrum utilization. In the second scenario, a channel status predictor is configured for each secondary user enabling them to identify the best available channel. Simulation results show that the prediction error has been reduced to less than 14% in average. However, in some cases it can predict the next channel status correctly with zero error prediction.","PeriodicalId":354057,"journal":{"name":"2013 International Conference on Electronics, Computer and Computation (ICECCO)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124860424","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: 20
Genetic algorithm to solve electrical network problems 遗传算法求解电网问题
2013 International Conference on Electronics, Computer and Computation (ICECCO) Pub Date : 2013-11-01 DOI: 10.1109/ICECCO.2013.6718272
B. Akbal, A. Urkmez
{"title":"Genetic algorithm to solve electrical network problems","authors":"B. Akbal, A. Urkmez","doi":"10.1109/ICECCO.2013.6718272","DOIUrl":"https://doi.org/10.1109/ICECCO.2013.6718272","url":null,"abstract":"Some events which occur due to loads affect the electrical networks. These events can be sorted as overvoltage, short circuit, voltage drop, and power loss. Short circuit, voltage drop and power loss are related to the parameters of the power line which belongs to the electrical network, and overvoltage is related to parallel resonance. System impedance increases extremely during parallel resonance. If current of system (50Hz) or harmonic currents encounter high impedance, overvoltage occurs. In this study, parameters and parallel resonance power of the power line were estimated by using Genetic Algorithm (GA). If parallel resonance power is determined accurately, it isn't exceeded by load capacitor power, and parallel resonance doesn't occur. It was seen at the end of experimental results that estimation accuracy rate (EAR) of GA is adequate to solve these problems.","PeriodicalId":354057,"journal":{"name":"2013 International Conference on Electronics, Computer and Computation (ICECCO)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123549004","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
Optimal object tracking via wireless sensor networks 基于无线传感器网络的最优目标跟踪
2013 International Conference on Electronics, Computer and Computation (ICECCO) Pub Date : 2013-11-01 DOI: 10.1109/ICECCO.2013.6718281
M. Salamah, Farah Zawaideh, Firas Zawaideh
{"title":"Optimal object tracking via wireless sensor networks","authors":"M. Salamah, Farah Zawaideh, Firas Zawaideh","doi":"10.1109/ICECCO.2013.6718281","DOIUrl":"https://doi.org/10.1109/ICECCO.2013.6718281","url":null,"abstract":"This paper implements an algorithm that used applications that can monitor a movable limited target such as moving object. The object tracking is based on mathematical prediction of object location in order to activate the proper required sensors that is used to measure its actual location. Fuzzy clustering is being used in order to achieve fast and reliable cluster head determination. This paper implements a new activation algorithm based on smart prediction with least number of sensors that ensure a reliable target tracking with a minimal number of active nodes. The prediction of the next location is being done in polar coordinates, so a half circle of sensors will be activated only. The moving object will be considered to be the center of the half circle of active nodes. This algorithm induce to run the minimal active nodes while the rest of network in sleep.","PeriodicalId":354057,"journal":{"name":"2013 International Conference on Electronics, Computer and Computation (ICECCO)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129859329","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
Estimation of joint probability density function of delay and leakage power with variable skewness 变偏度时延和泄漏功率联合概率密度函数的估计
2013 International Conference on Electronics, Computer and Computation (ICECCO) Pub Date : 2013-11-01 DOI: 10.1109/ICECCO.2013.6718276
Mohammad Ansari, M. Imani, H. Aghababa, B. Forouzandeh
{"title":"Estimation of joint probability density function of delay and leakage power with variable skewness","authors":"Mohammad Ansari, M. Imani, H. Aghababa, B. Forouzandeh","doi":"10.1109/ICECCO.2013.6718276","DOIUrl":"https://doi.org/10.1109/ICECCO.2013.6718276","url":null,"abstract":"This paper introduces a new joint probability density function (JPDF) for estimating delay-power distribution. Linear and logarithmic skewness factors have been used for estimating the accurate JPDF. Both proposed models are compared to bivariate normal model for NAND2, NAND3, NOR2, NOR3 circuits and ISCAS85-C432. We verified the accuracy of our proposed model using Nangate 45nm standard cell library. The results indicate that making use of logarithmic skewness, results in a better modeling compared to linear and bivariate models. Employing linear and logarithmic skewnesses, results in 23.3X and 38.5X improvement in R-Squares in respect with constant and bivariate model. Also, using logarithmic skewness reduces the Root Mean Squares Error (RMSE) and Sum of Squared Errors (SSE) by 14.6% and 26.2% respectively.","PeriodicalId":354057,"journal":{"name":"2013 International Conference on Electronics, Computer and Computation (ICECCO)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116285156","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: 7
Generating incident-level artificial data using GIS based crime simulation 基于GIS的犯罪模拟生成事件级人工数据
2013 International Conference on Electronics, Computer and Computation (ICECCO) Pub Date : 2013-11-01 DOI: 10.1109/ICECCO.2013.6718273
Mehmet Sait Vural, M. Gok, Z. Yetgin
{"title":"Generating incident-level artificial data using GIS based crime simulation","authors":"Mehmet Sait Vural, M. Gok, Z. Yetgin","doi":"10.1109/ICECCO.2013.6718273","DOIUrl":"https://doi.org/10.1109/ICECCO.2013.6718273","url":null,"abstract":"Most crime analysis tools used to find criminals of a particular incident or, to find the interrelations among the crime incidents, possibly over a GIS (Geographical Information System) map. The development of these tools require access to incident-level crime data. Obtaining real data is very restricted if not possible due to the official regulations. In this paper, a parametric model is proposed to generate the incident-level crime datasets involving crimes, criminals and criminals' suspicious acquaintances where the parameters are used for fine tuned adaptation of the model. The motivation for this approach is that unsupervised approaches for crime analysis do not require fully realistic data set in order to develop decision making algorithms. The model is based on GIS by approximating the characteristics of the population in real-life. Then, results of various GIS related queries are demonstrated on the GIS map to enable the visual analysis of the incidents.","PeriodicalId":354057,"journal":{"name":"2013 International Conference on Electronics, Computer and Computation (ICECCO)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126023072","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: 5
A weighting approach for KNN classifier 一种KNN分类器的加权方法
2013 International Conference on Electronics, Computer and Computation (ICECCO) Pub Date : 2013-11-01 DOI: 10.1109/ICECCO.2013.6718270
H. Yiğit
{"title":"A weighting approach for KNN classifier","authors":"H. Yiğit","doi":"10.1109/ICECCO.2013.6718270","DOIUrl":"https://doi.org/10.1109/ICECCO.2013.6718270","url":null,"abstract":"In this paper, a weighting approach for k nearest neighbors (kNN) algorithm is proposed. The motivation of the proposed approach is to find the optimal weights via Artificial Bee Colony (ABC) algorithm. To test the validity of the hybrid algorithm called ABC based distance-weighted kNN, dW-ABC kNN, four UCI data sets (Iris, Haberman, Breast Cancer, and Zoo) are used. The results reveal that dW-ABC kNN algorithm improves the correct classification performance in Iris, Haberman, and Breast Cancer data set. The performance degradation occurs when it is applied on Zoo data set. It can be concluded that ABC algorithm is applicable to kNN algorithm.","PeriodicalId":354057,"journal":{"name":"2013 International Conference on Electronics, Computer and Computation (ICECCO)","volume":"262 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115962778","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: 47
Cooperative mobile robotic platforms for wireless control applications 无线控制应用的协作移动机器人平台
2013 International Conference on Electronics, Computer and Computation (ICECCO) Pub Date : 2013-11-01 DOI: 10.1109/ICECCO.2013.6718264
M. Papoutsidakis, D. Piromalis, G. Chamilothoris
{"title":"Cooperative mobile robotic platforms for wireless control applications","authors":"M. Papoutsidakis, D. Piromalis, G. Chamilothoris","doi":"10.1109/ICECCO.2013.6718264","DOIUrl":"https://doi.org/10.1109/ICECCO.2013.6718264","url":null,"abstract":"The field of mobile robot tracking is active and vibrant, with more great systems and ideas being developed continuously. Exact knowledge of the position of a vehicle is a fundamental problem in mobile robot applications. In search for a solution, researchers and engineers have developed a variety of systems, sensors, and techniques for mobile robot positioning. This paper provides an implementation of tracking a hand-on robotic platform from another autonomous robot almost at the same size, which will be referred as the `chase-hunter' application. The proposed alignment control algorithm has the advantage that can be implemented on very simple robots that lack complex sensing capabilities to detect random obstacles and the orientation of their pair robot. Low cost, though modern and up to date technology was used and all gear data will be explained in details as well as the performing scenario.","PeriodicalId":354057,"journal":{"name":"2013 International Conference on Electronics, Computer and Computation (ICECCO)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131835005","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: 2
Genetic multiobjective fitness assignment scheme applied to robot path planning 遗传多目标适应度分配方案在机器人路径规划中的应用
2013 International Conference on Electronics, Computer and Computation (ICECCO) Pub Date : 2013-11-01 DOI: 10.1109/ICECCO.2013.6718262
Corina Cimpanu, L. Ferariu
{"title":"Genetic multiobjective fitness assignment scheme applied to robot path planning","authors":"Corina Cimpanu, L. Ferariu","doi":"10.1109/ICECCO.2013.6718262","DOIUrl":"https://doi.org/10.1109/ICECCO.2013.6718262","url":null,"abstract":"This paper proposes a new adaptive Pareto-ranking for multiobjective genetic algorithms. The ranks are assigned after splitting the population in several groups, based on the current weak nadir point and the average objective values. This grouping supplements the sorting provided by the dominance analysis and gives the possibility to encourage certain valuable solutions recommended by the particular landscape of the objective space. Additionally, the preliminary grouping allows a more effective diversity control during the evolutionary loop. The effectiveness of the suggested fitness assignment scheme is shown on a robot path planning problem. The study cases consider continuous working scenes with known non-convex and/or disjoint obstacles.","PeriodicalId":354057,"journal":{"name":"2013 International Conference on Electronics, Computer and Computation (ICECCO)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114684219","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
An implantable microstrip antenna design for biomedical telemetry 用于生物医学遥测的可植入微带天线设计
2013 International Conference on Electronics, Computer and Computation (ICECCO) Pub Date : 2013-11-01 DOI: 10.1109/ICECCO.2013.6718221
A. Sondas, M. Ucar
{"title":"An implantable microstrip antenna design for biomedical telemetry","authors":"A. Sondas, M. Ucar","doi":"10.1109/ICECCO.2013.6718221","DOIUrl":"https://doi.org/10.1109/ICECCO.2013.6718221","url":null,"abstract":"Along this document, an implantable microstrip antenna design is introduced for biomedical telemetry in Medical Implant Communications Service (MISC, 402-405 MHz) band. The radiating layer of the antenna is composed of two concentric square split-ring elements and a metallic pad placed between them. Also a shorting-pin is directly connects the outer ring element to the ground plane. It is numerically demonstrated that the proposed antenna offers approximately 7% impedance bandwidth and a gain of 1.4 dBi at the designated frequency band. Also affects of some antenna parameters are examined in the paper. Note that, the full-wave analyses of the implant antenna are carried out using CST Microwave Studio, utilizing the time-domain finite-integration technique.","PeriodicalId":354057,"journal":{"name":"2013 International Conference on Electronics, Computer and Computation (ICECCO)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121408268","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: 10
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