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2010 18th Iranian Conference on Electrical Engineering最新文献

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A new achievable rate-equivocation region for the relay-eavesdropper channel 一种新的可实现的中继窃听信道速率模糊区域
2010 18th Iranian Conference on Electrical Engineering Pub Date : 2010-05-11 DOI: 10.1109/IRANIANCEE.2010.5507076
Amir Sonee, Somayeh Salimi, M. Salmasizadeh
{"title":"A new achievable rate-equivocation region for the relay-eavesdropper channel","authors":"Amir Sonee, Somayeh Salimi, M. Salmasizadeh","doi":"10.1109/IRANIANCEE.2010.5507076","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2010.5507076","url":null,"abstract":"In this paper, we propose an information-theoretic scheme which achieves a new rate-equivocation region for the four-terminal relay-eavesdropper channel. The coding scheme used to achieve this region is a combination of the partial decode and forward, compress and forward and noise forwarding strategies. In this strategy the relay cooperates with the source to have both a reliable and secure communication by decoding some part of the source message, compressing the received signal and also sending the codewords independent of the transmitted message. Using this scheme we can obtain the perfect secrecy capacity of the semi- deterministic and deterministic relay channels.","PeriodicalId":282587,"journal":{"name":"2010 18th Iranian Conference on Electrical Engineering","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126295752","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: 3
Image semantic retrieval using image fuzzification based on weighted relevance feedback 基于加权关联反馈的图像模糊化图像语义检索
2010 18th Iranian Conference on Electrical Engineering Pub Date : 2010-05-11 DOI: 10.1109/IRANIANCEE.2010.5507023
Sajjad Imandoost, H. Sadoghi Yazdi, J. Haddadnia, J. Haddadnia
{"title":"Image semantic retrieval using image fuzzification based on weighted relevance feedback","authors":"Sajjad Imandoost, H. Sadoghi Yazdi, J. Haddadnia, J. Haddadnia","doi":"10.1109/IRANIANCEE.2010.5507023","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2010.5507023","url":null,"abstract":"In this paper a new approach is presented for image retrieval using image fuzzification based on weighted relevance feedback on image feature vectors. The mind attributes of present work are the image retrieval using fuzzy approach and the relevance feedback by attention of the query image and the resemble images in the database. At the first the color features (Hue) and saturation (S) for each image by help of Fuzzy C means (FCM) algorithm are quantized to 20 bins. Then the feature vectors for each image are become fuzzy using KNN algorithm and for corresponding image, the 20 Gaussian functions have been regarded. The data scatter in around of each image from viewpoint of features by help of covariance matrix of each image is caused the retrieval of similar samples become excellent. The dominant point of this paper is a new approach for relevance feedback. In the relevance feedback by attention of weighting of image semantic groups by user, the image weight which belongs to each semantic group is changed. The obtained results on an image database show that our approach accuracy versa the number iteration with respect to [1] is better. The images using in this paper, are selected from Corel database and Simplicity project.","PeriodicalId":282587,"journal":{"name":"2010 18th Iranian Conference on Electrical Engineering","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130125122","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
Predicting foaming slag quality in electric arc furnace using power quality indices and ANFIS 利用电能质量指标和ANFIS预测电弧炉发泡渣质量
2010 18th Iranian Conference on Electrical Engineering Pub Date : 2010-05-11 DOI: 10.1109/IRANIANCEE.2010.5506957
A. Parsapoor, B. Mirzaeian Dehkordi, M. Moallem
{"title":"Predicting foaming slag quality in electric arc furnace using power quality indices and ANFIS","authors":"A. Parsapoor, B. Mirzaeian Dehkordi, M. Moallem","doi":"10.1109/IRANIANCEE.2010.5506957","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2010.5506957","url":null,"abstract":"Foaming slag quality is an important parameter that can be used to improve the efficiency and quality of electric arc furnace process. However due to its fast and unpredictable changes, its quality is difficult to control. In this paper, an Adaptive Neuro Fuzzy Inference System (ANFIS) is used to determine slag quality based on power quality indices in electric arc furnaces. In order to train the intelligent system, a power quality analyzer is installed on an electric arc furnace feeder to record its power quality parameters. All electrical power quality parameters have been measured for 13 melting. Twelve groups of power quality parameters are examined for prediction slag quality and finally one group including total current harmonic distortion, seventh current harmonic, and three phase current unbalance are selected which shows the best prediction accuracy. The intelligent system trained by six melting data and tested experimentally by connecting power quality analyzer to furnace feeder to predict the slag quality every minute. Experimental results show the accuracy of prediction is about 95%. The designed intelligent system can also be used in slag control process.","PeriodicalId":282587,"journal":{"name":"2010 18th Iranian Conference on Electrical Engineering","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124550798","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
Forward kinematic problem and constant orientation workspace of 5-RP̲RRR (3T2R) parallel mechanisms 5-RP _ RRR (3T2R)并联机构正运动学问题及恒方位工作空间
2010 18th Iranian Conference on Electrical Engineering Pub Date : 2010-05-11 DOI: 10.1109/IRANIANCEE.2010.5506989
Mehdi Tale Masouleh, C. Gosselin, M. Saadatzi, H. Taghirad
{"title":"Forward kinematic problem and constant orientation workspace of 5-RP̲RRR (3T2R) parallel mechanisms","authors":"Mehdi Tale Masouleh, C. Gosselin, M. Saadatzi, H. Taghirad","doi":"10.1109/IRANIANCEE.2010.5506989","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2010.5506989","url":null,"abstract":"This paper investigates some kinematic properties of a five-degree-of-freedom parallel mechanism generating the 3T2R motion and comprising five identical limbs of the RP̲UR type. In this study, two classes of simplified designs are proposed whose forward kinematic problems have either a univariate or a closed-form solution. The principal contributions of this study are the solution of the forward kinematic problem for some simplified designs—which may have more solutions than the FKP of the general 6-DOF Stewart platform with 40 solutions—and the determination of the constant orientation workspace based on algebraic geometry (Bohemian domes).","PeriodicalId":282587,"journal":{"name":"2010 18th Iranian Conference on Electrical Engineering","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121666673","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 new approach for voltage profile enhancement in distribution power systems using fixed and thyristor controlled series capacitor (TCSC) 用固定晶闸管控制串联电容器(TCSC)增强配电系统电压分布的新方法
2010 18th Iranian Conference on Electrical Engineering Pub Date : 2010-05-11 DOI: 10.1109/IRANIANCEE.2010.5506952
M. Dowlatshahi, M. Moallem, H. Khani
{"title":"A new approach for voltage profile enhancement in distribution power systems using fixed and thyristor controlled series capacitor (TCSC)","authors":"M. Dowlatshahi, M. Moallem, H. Khani","doi":"10.1109/IRANIANCEE.2010.5506952","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2010.5506952","url":null,"abstract":"Voltage drop problems exist on long distribution lines that can be mitigated using series compensation which TCSC result. In this paper, a novel approach is proposed to enhance the voltage profile in distribution feeders using thyristor controlled series capacitor (TCSC). The proposed approach is based on phasor diagram analysis which its results are compared with PI controller commonly used in papers. Simulations are performed and theoretical results are verified by PSCAD software.","PeriodicalId":282587,"journal":{"name":"2010 18th Iranian Conference on Electrical Engineering","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121951734","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
Optimal unit sizing of Distributed Energy Resources in MicroGrid using genetic algorithm 基于遗传算法的微电网分布式能源单元优化
2010 18th Iranian Conference on Electrical Engineering Pub Date : 2010-05-11 DOI: 10.1109/IRANIANCEE.2010.5506961
S. Tafreshi, H. Zamani, S. M. Ezzati, M. Baghdadi, H. Vahedi
{"title":"Optimal unit sizing of Distributed Energy Resources in MicroGrid using genetic algorithm","authors":"S. Tafreshi, H. Zamani, S. M. Ezzati, M. Baghdadi, H. Vahedi","doi":"10.1109/IRANIANCEE.2010.5506961","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2010.5506961","url":null,"abstract":"In this paper, a methodology to perform the optimal unit sizing for Distributed Energy Resources (DRE) in MicroGid (MG), is developed. Based on a genetic algorithm, one optimal sizing method was developed to calculate the optimum system configuration that can achieve the customers required loss of power supply probability (LPSP) with a minimum COE. The proposed method results are validated for single source DG and hybrid DG with results obtained from HOMER for the same systems.","PeriodicalId":282587,"journal":{"name":"2010 18th Iranian Conference on Electrical Engineering","volume":"315 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120948311","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: 43
Comprehensible credit scoring with fuzzy Artificial Immune System 模糊人工免疫系统的可理解信用评分
2010 18th Iranian Conference on Electrical Engineering Pub Date : 2010-05-11 DOI: 10.1109/IRANIANCEE.2010.5507011
Ehsan Kamalloo, M. Saniee Abadeh
{"title":"Comprehensible credit scoring with fuzzy Artificial Immune System","authors":"Ehsan Kamalloo, M. Saniee Abadeh","doi":"10.1109/IRANIANCEE.2010.5507011","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2010.5507011","url":null,"abstract":"Artificial Immune System (AIS) is inspired from natural immune system. It is being used in many applications but in recent years, its use in data mining has been increased. In this paper, we describe a novel fuzzy AIS algorithm named CCS-FAIS applied to credit scoring problem. The algorithm represents its knowledge with fuzzy if-then rules. These rules have made CCS-FAIS human-understandable which are useful for experts. Our experiments were performed on Australian and German Credit Approval data sets. The proposed classifier has high accuracy and is competitive to several well-known classification systems.","PeriodicalId":282587,"journal":{"name":"2010 18th Iranian Conference on Electrical Engineering","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128991107","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: 3
Canceling tradeoff between phase noise and phase error in parallel coupled quadrature oscillators 并行耦合正交振荡器相位噪声与相位误差的抵消
2010 18th Iranian Conference on Electrical Engineering Pub Date : 2010-05-11 DOI: 10.1109/IRANIANCEE.2010.5507024
Hojat Ghonoodi, Hossein Miar Naimi
{"title":"Canceling tradeoff between phase noise and phase error in parallel coupled quadrature oscillators","authors":"Hojat Ghonoodi, Hossein Miar Naimi","doi":"10.1109/IRANIANCEE.2010.5507024","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2010.5507024","url":null,"abstract":"This paper presents an analytic approach for the estimation of the phase imbalances duo to mismatch between two LC-tank of oscillators. We derive equations with different coupling factors for the two coupled LC oscillators for more generality. We show that choosing appropriate inversely proportional coupling factors makes it possible to have exactly zero phase error. Choosing so hasn't any impact on phase noise, indeed the tradeoff between phase noise and phase error in coupled quadrature oscillators have been broken here. The theoretical results and proposed quadrature oscillator are evaluated and confirmed through simulations using TSMC 0.18 µm model technology on a 5-GHz quadrature oscillator with 1.8 V supply voltage.","PeriodicalId":282587,"journal":{"name":"2010 18th Iranian Conference on Electrical Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130742302","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: 9
A cost sensitive learning algorithm for intrusion detection 一种代价敏感的入侵检测学习算法
2010 18th Iranian Conference on Electrical Engineering Pub Date : 2010-05-11 DOI: 10.1109/IRANIANCEE.2010.5507006
S. Ghodratnama, M. Moosavi, M. Taheri, M. Zolghadri Jahromi
{"title":"A cost sensitive learning algorithm for intrusion detection","authors":"S. Ghodratnama, M. Moosavi, M. Taheri, M. Zolghadri Jahromi","doi":"10.1109/IRANIANCEE.2010.5507006","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2010.5507006","url":null,"abstract":"In this paper, a novel cost-sensitive learning algorithm is proposed to improve the performance of the nearest neighbor rule for intrusion detection. The goal of the learning algorithm is to minimize the total cost of misclassifications in leave-one-out test. This is important since in intrusion detection systems, the performance of the classifier on test data is usually evaluated by computing the total misclassification cost instead of the number of misclassified patterns. In our approach, the distance function is defined in a parametric form. The free parameters of the distance function (e.g. features and instances weights) are learned by our proposed method that attempt to minimize the average cost per example. The KDD99 dataset is used to assess the performance of the proposed method.","PeriodicalId":282587,"journal":{"name":"2010 18th Iranian Conference on Electrical Engineering","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116700017","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: 14
New autoregressive model order selection criterion using same-realization predictions 使用相同实现预测的新自回归模型顺序选择准则
2010 18th Iranian Conference on Electrical Engineering Pub Date : 2010-05-11 DOI: 10.1109/IRANIANCEE.2010.5507086
S. Khorshidi, M. Karimi, A. Nematollahi
{"title":"New autoregressive model order selection criterion using same-realization predictions","authors":"S. Khorshidi, M. Karimi, A. Nematollahi","doi":"10.1109/IRANIANCEE.2010.5507086","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2010.5507086","url":null,"abstract":"The final prediction error (FPE) criterion is an asymptotic estimate of the prediction error that is used for autoregressive (AR) model order selection. In this paper, we derive a new theoretical estimate of the prediction error for the same-realization predictions. This estimate is derived for the case that the Least-Squares-Forward (LSF) method (the covariance method) is used as the AR parameter estimation method. This result is used for obtaining a new version of the AR order selection criterion FPE in the finite sample case. The performance of this criterion is compared with that of the conventional FPE criterion using simulated data. The results of this comparison show that the performance of the proposed criterion is better than FPE.","PeriodicalId":282587,"journal":{"name":"2010 18th Iranian Conference on Electrical Engineering","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128592569","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
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