{"title":"Controller design with constraint on control input and output for T-S fuzzy systems with nonlinear local model","authors":"M. J. Koopaee, V. J. Majd","doi":"10.1109/IRANIANCEE.2015.7146335","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2015.7146335","url":null,"abstract":"In this paper, a recently proposed fuzzy controller with nonlinear local models is extended to consider the constraint control input and output. Unlike the well-known Takagi-Sugeno fuzzy systems this model consists of sector bounded nonlinear terms in consequent part of each rules which decrease the number of needed rules for representing the nonlinear system. As a direct result of this reduction, a fuzzy controller with less computational burden can be designed. The control input and the output constraint criteria for such a system are obtained in terms of LMIs and the effectiveness of the controller is investigated for an inverted pendulum.","PeriodicalId":187121,"journal":{"name":"2015 23rd Iranian Conference on Electrical Engineering","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115693662","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 a continuous fractional frequency divider in 0.35μm CMOS process","authors":"Tayebeh Azadmousavi, K. Hadidi, A. Khoei","doi":"10.1109/IRANIANCEE.2015.7146383","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2015.7146383","url":null,"abstract":"This work introduces a new and simple architecture for fractional frequency dividers in order to reduce the jitter in frequency synthesizers. The major advantage of the proposed architecture is that unlike the conventional fractional frequency divider, it does not need the periodic change of the division ratio. Therefore, the fractional division is continuous. Also, the new divider simplifies loop characteristics of the synthesizer and decreases the lock time. The division ratio varies from 1.125 to 10 and the step size of the fractional frequency divider is equal to 1/8. Post-layout simulation results using HSPICE for CSMC 0.35μm technology depict the low jitter behavior of the designed system.","PeriodicalId":187121,"journal":{"name":"2015 23rd Iranian Conference on Electrical Engineering","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124426181","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}
Bahareh Mohammad-Jafarzadeh, H. Kalbkhani, M. Shayesteh
{"title":"Spectral regression discriminant analysis for brain MRI classification","authors":"Bahareh Mohammad-Jafarzadeh, H. Kalbkhani, M. Shayesteh","doi":"10.1109/IRANIANCEE.2015.7146239","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2015.7146239","url":null,"abstract":"In this paper, a new method for brain magnetic resonance imaging (MRI) classification based on spectral regression is proposed. In feature extraction step, the primary features are obtained using a three-level two-dimensional discrete wavelet transform (2D DWT). The dimension of primary feature vector is high and classifying such high-dimensional vector requires huge computational complexity. We propose to use spectral regression discriminant analysis (SRDA) to reduce the dimension of the feature vector. Then, support vector machine (SVM) is used to classify low-dimension feature vector. We consider ten-class brain disease problem and evaluate the performance. The results indicate that the proposed approach can determine the type of brain MRI disease with high accuracy, and outperforms recently presented algorithms and it has less computational complexity.","PeriodicalId":187121,"journal":{"name":"2015 23rd Iranian Conference on Electrical Engineering","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114655338","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 enhancement in data transmission in biomedical implantable microsystems: Uni-pulse harmonic modulation","authors":"P. Amiri, Mohamad Zinaty","doi":"10.1109/IRANIANCEE.2015.7146177","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2015.7146177","url":null,"abstract":"To have the desired performance, the neural recording Microsystems must be able to transmit the recorded data out of the body with the highest data transmission rate and the least bit error possible. For data transmission from the biomedical implanted Microsystems out of the body using the Pulse Harmonic Modulation, two narrow pulses with the appropriate timing are employed so as to reduce the intersymbol interference and increase the data transmission rate. In the structure proposed in this paper, instead of generating two narrow pulses, one wider pulse is employed, in such a way that the oscillations are generated corresponding to the positive edge and damped corresponding to the negative edge. The possibility of 33.3 Mbps data transmission rate and decrease in power consumption and chip area are amongst the advantages of this method. Moreover, in the newly presented method, Data Rate to Carrier Frequency (DRCF) Ratio is increased from 30 percent in the previous literature to 50 percent. This structure is simulated in 0.18 μm technology using ADS software.","PeriodicalId":187121,"journal":{"name":"2015 23rd Iranian Conference on Electrical Engineering","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114673108","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":"Robust design of transmit code and receive filter for extended targets in clutter","authors":"S. M. Karbasi, A. Aubry, A. De Maio, M. Bastani","doi":"10.1109/IRANIANCEE.2015.7146220","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2015.7146220","url":null,"abstract":"We propose a novel robust design method to jointly optimize the radar transmit code and receive filter, exploiting the signal-to-interference-plus-noise ratio (SINR) at the receiver end as design figure of merit. We confer robustness to our method against uncertainties on the target impulse response (TIR) using a worst-case optimization approach. Precisely, we model the uncertainty set as a finite collection of TIRs, obtained sampling the actual TIR at some aspect angles. We further enforce a peak-to-average power ratio (PAR) constraint to the transmit code, which is very important for radar applications, where the transmitter operates close to saturation. The design problem is tackled using a sequential optimization procedure alternating between two semi-definite programming (SDP) problems, followed by randomization steps. Our numerical results highlight the robustness and applicability of the proposed method.","PeriodicalId":187121,"journal":{"name":"2015 23rd Iranian Conference on Electrical Engineering","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127204893","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":"Major temporal arcade separation in angiography images of retina using the Hough transform and connected components","authors":"Farshad Nabi, H. Yousefi, H. Soltanian-Zadeh","doi":"10.1109/IRANIANCEE.2015.7146199","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2015.7146199","url":null,"abstract":"Structural analysis of the vascular architecture of the retina is useful in facilitate the diagnosis of retinopathy disease. Retinopathy can affects the blood flow velocity. Measuring blood flow velocity in major temporal arcade (MTA) vessels in retina is one of the approaches to identify blood flow velocity changes. Hence separation of MTA vessel is a necessary step in blood flow velocity computation. We propose methods for separation of the MTA. We use Gabor filters to detect retinal vessels and Hough transform to model the MTA. Afterwards we use the MTA model to find initial point of MTA. Next we take advantage of connected components to track temporal arcade vessel, and separate the MTA. Results obtained with applying our algorithm to 24 clinical angiography images, in which traces of MTA was drawn with an ophthalmologist expert, indicating 92% correct separation of MTA.","PeriodicalId":187121,"journal":{"name":"2015 23rd Iranian Conference on Electrical Engineering","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124918786","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":"Spiking neural network for sound localization using microphone array","authors":"M. Faraji, S. Shouraki, Ensieh Iranmehr","doi":"10.1109/IRANIANCEE.2015.7146409","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2015.7146409","url":null,"abstract":"Sound source localization is very useful in various fields of engineering applications. Due to remarkable ability of humans for sound source localization, this paper describes a simple biological inspired model based on spiking neural network for localizing sound source. In this paper, a simple method using analog and digital combinational circuits is proposed for generating spikes. Because of simplicity of the proposed generating spikes method, in this paper, microphone array is utilized instead of using two microphones in order to increase accuracy. Then, a neural structure based on spiking neural network is proposed which works by means of microphone's signals. This structure is designed in way that can be implemented on Field Programming Gate Array (FPGA) properly. Simulation results show that implementing of this model for different types of microphone array is not only very simple, but also shows high accuracy of localizing sound source.","PeriodicalId":187121,"journal":{"name":"2015 23rd Iranian Conference on Electrical Engineering","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124941397","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 low-power digital to analog converter for SAR ADCs using one reference voltage","authors":"Seyed Behnam Yazdani, Ata Khorami, M. Sharifkhani","doi":"10.1109/IRANIANCEE.2015.7146378","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2015.7146378","url":null,"abstract":"A new low-power capacitive structure and its switching scheme for Successive Approximation Register (SAR) Digital to Analog Converter (DAC) is presented. The proposed method reduces power consumption by 93% and area by 50% compared to the conventional binary-weighted DAC. Moreover, only one reference voltage is used to avoid the effect of common mode voltage (Vcm) non-idealities on precision.","PeriodicalId":187121,"journal":{"name":"2015 23rd Iranian Conference on Electrical Engineering","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123756244","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":"Leaky wave antenna based on Quasi-TEM mode of substrate integrated waveguide","authors":"F. Nazarzadeh, M. H. Neshati, S. Majedi","doi":"10.1109/IRANIANCEE.2015.7146265","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2015.7146265","url":null,"abstract":"In this paper, a new Leaky Wave Antenna (LWA) based on modified substrate integrated waveguide (MSIW) is proposed and investigated. It is shown that MSIW can support the Quasi-TEM mode. Leakage from the antenna is obtained by inter-digital capacitor (IDC) embedded on the top of the SIW. This antenna is simulated by HFSS and the results including radiation patterns, reflection coefficient and antenna gain is reported. The proposed antenna provides a good beam scanning in the both backward and forward radiation.","PeriodicalId":187121,"journal":{"name":"2015 23rd Iranian Conference on Electrical Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126862097","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":"Secure resource allocation in OFDMA-based cognitive radio networks with two-way relays","authors":"Faezeh Alavi, N. Mokari, H. Saeedi","doi":"10.1109/IRANIANCEE.2015.7146204","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2015.7146204","url":null,"abstract":"In this paper, we consider a two-way cooperative communication framework to provide secure communications for secondary users within an Orthogonal Frequency-Division Multiple Access (OFDMA) based underlay cognitive network. By proposing a radio resource allocation problem with the aim of maximizing the secrecy sum-rate of secondary users and solving it, we show that deployment of relays is vital to achieve a non-zero secrecy sum rate. Also, impact of two-way relay in system performance improvement is clearly visible in comparison with one-way relay such that it can roughly double the resulting system secrecy sum-rate. The impact of different system parameters on the achievable secrecy sum rate for both one-way and two-way relay is also investigated and compared through simulations.","PeriodicalId":187121,"journal":{"name":"2015 23rd Iranian Conference on Electrical Engineering","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122380523","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}