{"title":"A new single-stage single-switch power-factor-corrector using magnetic feedback","authors":"M. Ramezani, S. M. Madami","doi":"10.1109/IRANIANCEE.2010.5506969","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2010.5506969","url":null,"abstract":"This paper presents a new single-stage single-switch PFC using magnetic feedback to reduce the input current harmonic distortion and limit the voltage stress across the bulk capacitor. This topology uses a new magnetic feedback witch changes from one mode to another smoothly so the low frequency harmonic distortion will decrees significantly. The converter different modes are explained and results are verified with simulation and experimental results.","PeriodicalId":282587,"journal":{"name":"2010 18th Iranian Conference on Electrical Engineering","volume":"47 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":"128699650","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 fuzzy ant colony optimization for diagnosis of diabetes disease","authors":"Mostafa Fathi Ganji, M. Saniee Abadeh","doi":"10.1109/IRANIANCEE.2010.5507019","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2010.5507019","url":null,"abstract":"Ant colony optimization (ACO) has been used successfully in data mining field to extract rule based classification systems. The Objective of this paper is to utilize ACO to extract a set of rules for diagnosis of diabetes disease. Since the new presented algorithm uses ACO to extract fuzzy If-Then rules for diagnosis of diabetes disease, we call it FADD. We have evaluated our new classification system via Pima Indian Diabetes data set. Results show FADD can detect the diabetes disease with an acceptable accuracy and competitive or even better than the results achieved by previous works. In addition, the discovered rules have good comprehensibility.","PeriodicalId":282587,"journal":{"name":"2010 18th Iranian Conference on Electrical Engineering","volume":"63 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":"132809451","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":"Damping of low frequency oscillations in AC-DC interconnected power system using robust modulation controller","authors":"K. Rahmani, G. Gharehpetian, M. S. Naderi","doi":"10.1109/IRANIANCEE.2010.5506967","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2010.5506967","url":null,"abstract":"this paper presents a systematic design procedure based on H℞ optimization technique for damping low frequency electromechanical oscillations in a HVDC link for a wide range of operation conditions. It is shown that the suggested method can improve the dynamic stability of system and it can perfectly consider the uncertainties of the power system. The simulation results verify the capability of the suggested method and designed controller.","PeriodicalId":282587,"journal":{"name":"2010 18th Iranian Conference on Electrical Engineering","volume":"33 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":"125216534","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 optimal integral sliding mode control using multiobjective H2/H∞ approach to surface design","authors":"M. Salari Khaniki, M. Khosrowjerdi","doi":"10.1109/IRANIANCEE.2010.5506982","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2010.5506982","url":null,"abstract":"In this paper, we propose an optimal method to design the sliding surface in variable structure control (VSC) systems in the presence of matched/mismatched uncertainties and disturbances. A VSC law is designed to guarantee the sliding motion. By solving the problem of optimal surface design with some quadratic constraints, a mixed H2 / H∞ approach is presented to reduce the effect of uncertainties and disturbances on the sliding motion. Solutions to VSC law design problem and surface design problem are based on linear matrix inequalities (LMIs) which can be solved effectively through standard softwares. Finally, using a numerical example, we show the effectiveness of proposed methods.","PeriodicalId":282587,"journal":{"name":"2010 18th Iranian Conference on Electrical Engineering","volume":"82 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":"125102349","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 efficient postprocessor architecture for channel mismatch correction of time interleaved ADCs","authors":"Asgar Abbaszadeh, K. Dabbagh-Sadeghipour","doi":"10.1109/IRANIANCEE.2010.5507040","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2010.5507040","url":null,"abstract":"A pipelined post-processor architecture is proposed in this paper for digital background calibration of time interleaved ADCs. An adaptive filter technique is used for correction of offset and gain mismatches between ADC channels. Only one calibration unit is used for calibrating all ADC channels and increasing in the number of parallel channels in the time interleaved ADC does not considerably affect the required hardware for proposed postprocessor. FPGA synthesis of 10-bit 4-channel processor shows %55 reduction in hardware usage and %25 in power consumption over conventional architecture.","PeriodicalId":282587,"journal":{"name":"2010 18th Iranian Conference on Electrical Engineering","volume":"36 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":"126008533","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":"The preference of Fuzzy Wavelet Neural Network to ANFIS in identification of nonlinear dynamic plants with fast local variation","authors":"M. Davanipour, M. Zekri, F. Sheikholeslam","doi":"10.1109/IRANIANCEE.2010.5506998","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2010.5506998","url":null,"abstract":"This paper presents a Fuzzy Wavelet Neural Network (FWNN) for identification of a system with fast local variation. The FWNN combines wavelet theory with fuzzy logic and neural networks. An effective clustering algorithm is used to initialize the parameters of the FWNN. Learning fuzzy rules in this FWNN is based on gradient decent method. The performance of the FWNN structure is illustrated by applying to a nonlinear dynamic plant which has fast local variation then compared with Adaptive Neuro-Fuzzy Inference System (ANFIS) model. Simulation results indicate remarkable capabilities of the proposed identification method for plants with fast local variation.","PeriodicalId":282587,"journal":{"name":"2010 18th Iranian Conference on Electrical Engineering","volume":"32 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":"127265024","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}
Naeim Karimimehr, A.A. Beheshti Shirazi, Mehdi Keshavars Ba haghighat
{"title":"Fingerprint image enhancement using Gabor wavelet transform","authors":"Naeim Karimimehr, A.A. Beheshti Shirazi, Mehdi Keshavars Ba haghighat","doi":"10.1109/IRANIANCEE.2010.5507055","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2010.5507055","url":null,"abstract":"The performance of any fingerprint recognizer system highly depends on the fingerprint image quality; therefore fingerprint image enhancement is an essential stage in these systems. Wavelet transform is a good tool for non-stationary signal processing and has a wide range of application. In this paper a wavelet based method for fingerprint image enhancement has been proposed. In our algorithm Gabor wavelet and Gabor filter is used for this purpose. First the image is divided into blocks. 64 Gabor wavelet based on 4 frequencies and 16 directions are defined then the orientation and frequency of any image block are estimated. By using these estimations, a suitable Gabor filter is designed and then the image blocks are filtered. Comparing the proposed algorithm with other approaches shows improvement in the accuracy rate on a set of images from the FVC2002 database. Moreover, in the proposed method the frequency and direction are estimated simultaneously.","PeriodicalId":282587,"journal":{"name":"2010 18th Iranian Conference on Electrical Engineering","volume":"32 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":"129626950","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 digital calibration technique combined with DWA for multibit ΣΔ ADCs","authors":"Hossein Pakniat, M. Yavari","doi":"10.1109/IRANIANCEE.2010.5507027","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2010.5507027","url":null,"abstract":"A purely digital correction technique combined with data weighted averaging (DWA) algorithm is presented to overcome the digital-to-analog converter's (DAC's) mismatch-induced errors in multibit ΣΔ modulators. This technique needs a foreground calibration process. Simulation results confirm the validity of this combined technique in low oversampling ratios (OSRs). This method enhances the pick signal to noise and distortion ratio (SNDR) about 31.5 dB with respect to the non-calibrated case (1.5 % mismatch) when the OSR is 8.","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":"127873010","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 novel biomarker discovery method on protemic data for ovarian cancer classification","authors":"M. Alipoor, Mohsen Khani Parashkoh, J. Haddadnia","doi":"10.1109/IRANIANCEE.2010.5507114","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2010.5507114","url":null,"abstract":"In this paper a novel combinational feature selection method on high throughput SELDI-TOF mass-spectroscopy data for ovarian cancer classification is developed. The proposed method includes 3 steps: dataset normalization, dimensionality reduction using feature filtering, selecting the most informative features utilizing binary particle swarm optimization. Indeed, the method employs a combination of filter and wrapper feature selection methods to find features with high discriminatory power. The algorithm is successfully validated using a well-known ovarian cancer proteomic dataset. Results of applying the method are superior to state of the art methods in proteomic pattern recognition. It reduces extremely high dimensionality of proteomic data to 3 dimensional and linearly separable data. Therefore, proposed system clearly outperforms previous works in both respects of accuracy and number of required features; witch may lead in high accuracy and high speed diagnosis procedure.","PeriodicalId":282587,"journal":{"name":"2010 18th Iranian Conference on Electrical Engineering","volume":"262 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":"121427910","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 DC to 20 GHz ultra-broadband high-gain-linear distributed power amplifier with 19.5% drain efficiency","authors":"H. Bameri, A. Hakimi, M. Movahhedi, H. Abdollahi","doi":"10.1109/IRANIANCEE.2010.5507037","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2010.5507037","url":null,"abstract":"In this paper an ultra-broadband linear distributed power amplifier (DPA) is presented. This amplifier consumes only 100 mW DC power and amplifies input powers up to −3.7 dBm with a power gain of 16.7 dB linearly. Output power at 1-dB compression point is 13 dBm in the linear-mode. By increasing the level of input power, the amplifier no longer works in the linear-mode, drain efficiency and non-linear distortions are increased, and power consumption is decreased to 90 mW. S21 parameter is 18±0.9 dB over DC to 20 GHz. The architecture of all power gain cells (including three stages) is cascade of inductively coupled common source. This amplifier is simulated in a 0.13 um CMOS technology.","PeriodicalId":282587,"journal":{"name":"2010 18th Iranian Conference on Electrical Engineering","volume":"33 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":"121163694","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}