Amin Ghalami Osgouei, Amir Khorsandi Koohanestani, H. Saidi, A. Fanian
{"title":"Analytical performance model of virtualized SDNs using network calculus","authors":"Amin Ghalami Osgouei, Amir Khorsandi Koohanestani, H. Saidi, A. Fanian","doi":"10.1109/IRANIANCEE.2015.7146317","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2015.7146317","url":null,"abstract":"Software Defined Networks (SDN) are proposed as a new solution to facilitate dealing with some major network management issues. Just like other networks, SDNs are considered as a communication resource which can be shared between several tenants. However several virtualization solutions are proposed in the past to provide necessary mechanisms to slice SDN between several virtual networks, but virtualizing SDN can cause some performance degradation issues (e.g., additional packet forwarding latency). In this paper a novel network calculus based analytical model is proposed to get the upper bounds on some performance parameters of virtualized SDNs.","PeriodicalId":187121,"journal":{"name":"2015 23rd Iranian Conference on Electrical Engineering","volume":"15 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":"125394639","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":"Visual information retrieval in HEVC compressed domain","authors":"F. Zargari, Farzaneh Rahmani","doi":"10.1109/IRANIANCEE.2015.7146321","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2015.7146321","url":null,"abstract":"In this paper, a texture based retrieval method is proposed in HEVC compressed domain. The proposed method can be used for either video retrieval of HEVC coded videos or image retrieval of HEVC I-frame coded images. In I-frame coding various prediction modes are utilized to spatially predict pixels of a block. The selected prediction mode and the size of prediction unit for coding of a block indicate the way, in which the pixels of the block are related to their neighboring pixels and they can considered as texture features. Thus, we measured the texture similarity of coded I-frames in HEVC based on the similarity of the prediction modes and block size histograms. This retrieval method achieves 0.34 ANMRR in videos with high resolution, which is better compared to the other compressed domain retrieval method based on previous standard H.264/AVC that have achieved 0.45 ANMRR in the same image database.","PeriodicalId":187121,"journal":{"name":"2015 23rd Iranian Conference on Electrical Engineering","volume":"7 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":"126702848","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":"Online identification of coherence based on nongenerator bus voltage angles correlation coefficients","authors":"E. Samsami, O. Salari, M. Aghamohammadi","doi":"10.1109/IRANIANCEE.2015.7146489","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2015.7146489","url":null,"abstract":"In this paper, a new approach for identifying coherent groups of generators in power systems based on the correlation coefficients between bus phase angles is presented. The method uses a new clustering index based on the correlation coefficients of bus phase angles. The proposed approach uses real time data of bus phase angles via PMUs, so it is able to easily take into account the effect of system detailed modeling, generators and system controllers and type of events. The proposed correlation index evaluated from the real time behavior of power system in time-domain following disturbances are used to evaluate the degree of coherency between any pair of buses. The bus phase angle can be obtained from synchronized measurements of system quantities using PMUs. Hence, the proposed method could be integrated into a wide-area measurement system enabling fast identification of coherent groups of generators. The proposed method is tested on the IEEE 39-bus with 10 generators.","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":"123164918","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 simple channel estimation via biasing OFDM symbols","authors":"A. Pirsiavash, M. Emadi","doi":"10.1109/IRANIANCEE.2015.7146222","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2015.7146222","url":null,"abstract":"In this paper, blind channel estimation for Orthogonal Frequency-Division Multiplexing (OFDM) systems is considered. Based on a novel idea for biasing transmitted symbols, a simple estimation method is proposed. This method, which exploits first order statistics instead of higher orders, has a very simple structure that can be considered as the optimum solution in practical applications. The interesting point is that using the first order expected value instead of calculating covariance matrix, which is prevalent in the most former approaches, addresses many concerns in channel characterization such as estimation ambiguity and the necessity of using precoders which cast doubt on the blindness of the former methods. We investigate the asymptotic performance of the proposed estimator, i.e. normalized mean square error (NMSE), for large numbers of independent observations. The numerical results clearly show the effectiveness of our proposed algorithm in estimating channel elements as well as its improvement over the existing techniques.","PeriodicalId":187121,"journal":{"name":"2015 23rd Iranian Conference on Electrical Engineering","volume":"153 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":"123090355","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":"Impact of erroneous measurements on power system real-time security analysis","authors":"M. Farajollahi, M. Fotuhi‐Firuzabad, A. Safdarian","doi":"10.1109/IRANIANCEE.2015.7146480","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2015.7146480","url":null,"abstract":"Power system security analyses as well as decisions made to preserve system security are all on the basis of an approximate insight over the system status. This approximate insight is provided based on erroneous measurements throughout the system. The error in the input data may result in a misleading index which either increases system operating costs or jeopardizes service continuity. This paper aims at establishing an step-by-step algorithm to study impacts of error in measurements on system security indices. Two different security indices representing under voltage severity and over load severity are studied in this paper. The proposed algorithm has three major steps. In the first step, typical measurements are sampled according to the system operating state and randomly generated errors. This is done using Monte Carlo sampling approach. The second step is to extract an approximate model of the system true state which is done via state estimators. Then, security indices are calculated for both the approximated and true states in the third step. Comparison between the indices demonstrates impacts of the erroneous measurements on security assessment.","PeriodicalId":187121,"journal":{"name":"2015 23rd Iranian Conference on Electrical Engineering","volume":"58 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":"114064784","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":"Efficacy of fractal electrodes in transcranial direct current stimulation: A computational modeling study","authors":"Shirin Mahdavi, F. Towhidkhah, N. Fatouraee","doi":"10.1109/IRANIANCEE.2015.7146190","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2015.7146190","url":null,"abstract":"Fast-growing application of transcranial direct current stimulation (tDCS) as an electrotherapy technique has been motivated researchers to rationalize dosage of primary care protocol. Some important aspects in this field are pertained to modification of electrodes regarding size, position and shape of them. Recently, fractal electrodes have shown the potential to enhance neural stimulation efficiency. The purpose of current study was to address the efficacy of this newly introduced electrode on tDCS via numerical methods. An individual high resolution finite element human head model was created based on MR-scanning images. We simulated induced current density in the brain for conventional and fractal electrodes. The results demonstrate that geometry of fractal electrodes has an impact on the magnitude of current density. The peak current density for the same inward stimulus was higher (~1.3 times) for fractal electrodes in comparison with conventional type. Fractal shapes could be considered as an efficient way to provide more penetration of current density across the human brain.","PeriodicalId":187121,"journal":{"name":"2015 23rd Iranian Conference on Electrical Engineering","volume":"6 3 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":"116742180","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":"Metallic grating embedded in an anisotropic slab for realization of a reflectarray antenna","authors":"M. Rafaei-Booket, Z. Atlasbaf","doi":"10.1109/IRANIANCEE.2015.7146243","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2015.7146243","url":null,"abstract":"A reflectarray antenna composed of a metallic grating sandwiched between two inhomogeneous anisotropic layers is proposed. The unit cell of this grounded structure contains two concentric square loops embedded in an anisotropic dielectric with an air hole drilled in its center. The phase diagram of the unit cell is calculated by a full-wave computational technique which uses the dyadic Green's function obtained by an equivalent transmission line (TL) model in the Fourier domain. The computed Green's function is used in an integral equation for the surface electric current on the metallic grating. The resulting integral equation is then solved using the Method of Moments (MoM) with sub-domain basis functions and Galerkin test functions. Finally, the entire antenna system, i.e., the designed reflectarray along with its feed antenna is analyzed using a full-wave EM solver. The numerical results show a gain of 26.78 dBi at 14.25 GHz for the designed 21cm × 21cm reflectarray.","PeriodicalId":187121,"journal":{"name":"2015 23rd Iranian Conference on Electrical Engineering","volume":"40 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":"121652843","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 improved G-music algorithm for non-Gaussian noise condition direction-of-arrival estimation","authors":"Mahmoudreza Ahmadi, Ehsan Yazdian, A. Tadaion","doi":"10.1109/IRANIANCEE.2015.7146261","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2015.7146261","url":null,"abstract":"Direction of arrival (DOA) estimation is one of the most important and widely used discussions within communication and radar systems. This paper aims to improve the DOA estimation using G-MUSIC (Multiple Signal Classification based on G-estimation) algorithm under noise types with heavy-tailed distributions such as impulsive noise conditions. Subspace-based DOA estimation methods, usually employ the maximum likelihood estimation of the covariance matrix and its eigenvalues and eigenvectors. However, the performance of this estimation and resulting the direction-of-arrival estimation degrade in non-Gaussian noise. In this paper we use the convex optimization methods to improve the DOA estimation algorithm, G-MUSIC, by modifying the eigenvector and eigenvalue estimation of the sample covariance matrix under non-Gaussian noise conditions. Simulation results confirm this performance improvement.","PeriodicalId":187121,"journal":{"name":"2015 23rd Iranian Conference on Electrical Engineering","volume":"27 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":"123063152","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":"Propagation from conservatively selected skin pixels using a multi-step multi-feature method","authors":"M. Mahmoodi, S. Sayedi, Fariba Karimi","doi":"10.1109/IRANIANCEE.2015.7146213","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2015.7146213","url":null,"abstract":"Recently, skin detection has been employed in multifarious applications of computer vision including face detection. This is mainly due to the appealing characteristics of skin color and its potency to discriminate objects and pixels. However, there are certain challenges involved in utilizing human complexion as a feature to detect faces, and they have led to the inefficiency of many methods. In order to counteract these factors, in this paper, a skin segmentation method which exploits a multi step diffusion algorithm to detect skin regions is presented. The method starts with conservative extraction of skin seeds in each frame which is accomplished by using fusion of ternary-based human motion detection, modified Bayesian classifier, and a feedback mechanism. Subsequently, these candidate skin pixels are utilized in a 2-stage diffusion scheme to detect other skin pixels. Both quantitative and qualitative results demonstrate the effectiveness of the proposed system in compare with other works.","PeriodicalId":187121,"journal":{"name":"2015 23rd Iranian Conference on Electrical Engineering","volume":"61 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":"128014377","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. Hamedi, A. Rashidi, Hamed Dehdashti Jahromi, A. Gharavi
{"title":"Optical properties of azo (EO) chromophore (DR1) doped in poly amic acid (PAM)","authors":"S. Hamedi, A. Rashidi, Hamed Dehdashti Jahromi, A. Gharavi","doi":"10.1109/IRANIANCEE.2015.7146414","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2015.7146414","url":null,"abstract":"In this work, we studied the effects of annealing on the structural and optical properties of an azo electro optic (EO) polymer, Disperse Red1 (DR1), doped in Poly Amic Acid (PAM). Thin films were deposited on glass substrates by spin coating technique. The films were annealed at 195°C. The Structural and optical properties of the doped films were investigated by using UV-VIS spectra, Atomic Force Microscopy (AFM) and Prism Coupling technique. The number of modes, angles of coupling, thickness and refractive index were compared before and after annealing. The experimental results, showed 24nm blue shift in the photon absorption peak and number of modes and surface roughness of thin films decreased after annealing. Thickness was reduced about 1um and refractive index was increased by 0.03.","PeriodicalId":187121,"journal":{"name":"2015 23rd Iranian Conference on Electrical Engineering","volume":"105 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":"132709284","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}