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2013 21st Iranian Conference on Electrical Engineering (ICEE)最新文献

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Robust voice activity detection using feature combination 鲁棒语音活动检测使用特征组合
2013 21st Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2013-05-14 DOI: 10.1109/IRANIANCEE.2013.6599673
Sahar Khaksar Haghani, S. Ahadi
{"title":"Robust voice activity detection using feature combination","authors":"Sahar Khaksar Haghani, S. Ahadi","doi":"10.1109/IRANIANCEE.2013.6599673","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2013.6599673","url":null,"abstract":"This paper presents a study of noise-robust voice activity detection (VAD) utilizing combination of feature vectors extracted from speech signals. Conventional VADs are sensitive to non-stationary noise especially in low SNRs. Also situations such as cutting off of unvoiced regions of speech and random oscillation of VAD decisions are unavoidable. To overcome these problems, the proposed algorithm utilizes measures such as energy differences, periodicity, zero crossing rate, and spectral differences between different sound frames. The performance of the proposed VAD algorithm is tested on real speech signals. Comparisons confirm that the proposed VAD algorithm outperforms the conventional VADs, especially in the presence of background noise.","PeriodicalId":383315,"journal":{"name":"2013 21st Iranian Conference on Electrical Engineering (ICEE)","volume":"24 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125668198","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
Overload control in Asterisk proxy: Implementation and evaluation Asterisk代理中的过载控制:实现和评估
2013 21st Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2013-05-14 DOI: 10.1109/IRANIANCEE.2013.6599695
Ahmadreza Montazerolghaem, M. Moghaddam
{"title":"Overload control in Asterisk proxy: Implementation and evaluation","authors":"Ahmadreza Montazerolghaem, M. Moghaddam","doi":"10.1109/IRANIANCEE.2013.6599695","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2013.6599695","url":null,"abstract":"The extent and diversity of systems provided by IP networks have lead various technologies to approach integrating various types of access networks and converting to next generation network. On account of features as being in text form, end-to-end connection, independence from the type of transmitted data, and supporting various forms of transmission, is an appropriate choice for signaling protocol in order to make connection between two IP network users. These advantages have made SIP be considered as a signaling protocol in IMS, a proposed signaling platform for next generation networks. Despite having all these advantages, SIP protocol is in lacking of appropriate mechanism for addressing overload. In this paper the window-based overload control mechanism which does not require explicit feedback is developed and implemented on Asterisk open source proxy and evaluated. The results of implementation show that this method could practically maintain throughput in case of overload. As we know this is the only overload control method which is implemented on a real platform without using explicit feedback. The results show that the under load server maintains its throughput at the maximum capacity.","PeriodicalId":383315,"journal":{"name":"2013 21st Iranian Conference on Electrical Engineering (ICEE)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126760850","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
An energy-efficient clustering algorithm for large scale wireless sensor networks 大规模无线传感器网络的高效聚类算法
2013 21st Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2013-05-14 DOI: 10.1109/IRANIANCEE.2013.6599697
Maryam Soleimani, A.R. Sharifian, A. Fanian
{"title":"An energy-efficient clustering algorithm for large scale wireless sensor networks","authors":"Maryam Soleimani, A.R. Sharifian, A. Fanian","doi":"10.1109/IRANIANCEE.2013.6599697","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2013.6599697","url":null,"abstract":"Wireless sensor networks (WSNs) consist of a large number of sensor nodes with limited energy resources. Collecting and transmitting sensed information in an efficient way is one of the challenges in these networks. The clustering algorithm is a solution to reduce energy consumption. It can be helpful to the scalability and network life time. However, the problem of unbalanced energy dissipation is an important issue in cluster based WSNs. In this paper, a new clustering algorithm, named PDKC, is proposed for wireless sensor networks based on node deployment knowledge. However, in PDKC, sensor node location is modelled by Gaussian probability distribution function instead of using GPSs or any other location-aware devices. In the proposed method, cluster heads are selected based on node deployment information, residual energy, node degree and their distance from the base station. The Simulation results indicate that PDKC algorithm prolongs network lifetime, improves the network coverage and balance energy dissipation in comparison to other works.","PeriodicalId":383315,"journal":{"name":"2013 21st Iranian Conference on Electrical Engineering (ICEE)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115183812","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
Decentralized particle filtering based fault diagnosis for nonlinear distributed and interconnected systems 基于分散粒子滤波的非线性分布互联系统故障诊断
2013 21st Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2013-05-14 DOI: 10.1109/IRANIANCEE.2013.6599868
N. S. Nokhodberiz, J. Poshtan
{"title":"Decentralized particle filtering based fault diagnosis for nonlinear distributed and interconnected systems","authors":"N. S. Nokhodberiz, J. Poshtan","doi":"10.1109/IRANIANCEE.2013.6599868","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2013.6599868","url":null,"abstract":"The problem of decentralized fault diagnosis for nonlinear, non-Gaussian systems composed of spatially distributed and physically interconnected subsystems, is considered. Normal and faulty behaviours are modelled as two hypotheses with two different models. Accordingly, the general system is modeled as a hybrid system with two faulty and healhty modes. Then, it is decomposed into hybrid interconnected subsystems. Particle filtering approach is employed for nonlinear state estimation as well as non-Gaussian probability distribution estimation. Faulty or health modes are estimated using Maximum A Poserior Estimators (MAP). The effectiveness of the proposed distributed algorithm is demonstrated through applying to a quadruple tank process.","PeriodicalId":383315,"journal":{"name":"2013 21st Iranian Conference on Electrical Engineering (ICEE)","volume":"182 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116016377","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
A new power efficient wireless non-uniform adaptive-sampling ECG recording system 一种新型无线非均匀自适应采样心电记录系统
2013 21st Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2013-05-14 DOI: 10.1109/IRANIANCEE.2013.6599768
Maryam Zaare, M. Maymandi-Nejad
{"title":"A new power efficient wireless non-uniform adaptive-sampling ECG recording system","authors":"Maryam Zaare, M. Maymandi-Nejad","doi":"10.1109/IRANIANCEE.2013.6599768","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2013.6599768","url":null,"abstract":"This paper presents a new successive approximation analog to digital converter (SA-ADC) with wireless transmission which samples sparse signals in a non-uniform adaptive way and transmits the samples power-efficiently. The proposed SA-ADC changes the rate of sampling in accordance with the rate of changes of the signal and modified FSK and an OOK transmitter is used to eliminate sending extra time flags which are typically needed for synchronization during signal restoration in the receiver. In this way, the data volume is reduced considerably without losing the important information in the signal. Simulation results in the 0.18um CMOS technology shows a power saving of up to 90.5% and a compression ratio of 10.5 compared to the conventional sampling technique of ECG signals.","PeriodicalId":383315,"journal":{"name":"2013 21st Iranian Conference on Electrical Engineering (ICEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122521570","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
Laser diode modulation under large signal conditions 大信号条件下的激光二极管调制
2013 21st Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2013-05-14 DOI: 10.1109/IRANIANCEE.2013.6599776
Arman Ahmadian
{"title":"Laser diode modulation under large signal conditions","authors":"Arman Ahmadian","doi":"10.1109/IRANIANCEE.2013.6599776","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2013.6599776","url":null,"abstract":"Large signal behavior of the Laser Diode is analyzed with the aim of finding a qualitative relationship between modulation amplitude and the change in the shape of its transfer function. It is found that, at quasi-static conditions, increasing the amplitude of the modulating signal smoothes out the original piecewise-linear transfer function of the diode. It further shifts the - now smoothed - knee point to lower DC currents. As the frequency increases, however, these effects become less and less pronounced. In addition, the transfer function becomes rather wavy due to the failure of current density to reach the saturation level necessary for adequate stimulated emission. At even higher frequencies, carrier density never accumulates in response to short pulses of current. In these conditions the transfer function reverts back to its original shape.","PeriodicalId":383315,"journal":{"name":"2013 21st Iranian Conference on Electrical Engineering (ICEE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122947221","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
Detection and classification of high impedance faults in power distribution networks using ART neural networks 基于ART神经网络的配电网高阻抗故障检测与分类
2013 21st Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2013-05-14 DOI: 10.1109/IRANIANCEE.2013.6599760
I. Nikoofekr, M. Sarlak, S. Shahrtash
{"title":"Detection and classification of high impedance faults in power distribution networks using ART neural networks","authors":"I. Nikoofekr, M. Sarlak, S. Shahrtash","doi":"10.1109/IRANIANCEE.2013.6599760","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2013.6599760","url":null,"abstract":"Adaptive Resonance Theory (ART) neural networks have several interesting properties that make them useful in the area of pattern recognition. Many different types of ART-networks have been developed to improve clustering capabilities. In this paper, five types of ART neural networks (ART1, ART2, ART2-A, Fuzzy ART and Fuzzy ARTMAP) are applied to detect and classify high impedance faults (HIF) in distribution networks. The features are extracted by applying TT-transform to one cycle of fault current signal. These features include energy, standard deviation and median absolute deviation. Then, they are applied to ART neural networks to detect and classify high impedance fault with broken conductor on gravel, asphalt and concrete, unbroken conductor on tree and also no fault condition. Finally, the results of these ART neural networks are compared with each other.","PeriodicalId":383315,"journal":{"name":"2013 21st Iranian Conference on Electrical Engineering (ICEE)","volume":"242 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123023962","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: 17
Delay-dependent filtering for stochastic nonlinear genetic regulatory networks with time-varying delays and extrinsic noises 时变时滞和外部噪声随机非线性遗传调控网络的时滞相关滤波
2013 21st Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2013-05-14 DOI: 10.1109/IRANIANCEE.2013.6599540
N. S. Hosseini, S. Ozgoli
{"title":"Delay-dependent filtering for stochastic nonlinear genetic regulatory networks with time-varying delays and extrinsic noises","authors":"N. S. Hosseini, S. Ozgoli","doi":"10.1109/IRANIANCEE.2013.6599540","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2013.6599540","url":null,"abstract":"In this paper, the delay-dependent filtering problem is investigated for a more realistic nonlinear genetic regulatory network (GRN) with time-varying delays, stochastic intrinsic noises and extrinsic noise, where the stochastic noises exist in both the state dynamics and measurement equations. The purpose of the addressed filtering problem is to estimate the true concentrations of gene products such as mRNAs and proteins. Specifically, we are interested in designing a delay-dependent L2-L∞ linear filter such that for all admissible nonlinearities, time-varying delays as well as intrinsic and extrinsic noises, the filtering error dynamics is asymptotically mean square stable with a prescribed L2-L∞ attenuation level. The delay decomposition approach is first used to derive sufficient conditions in the form of linear matrix inequalities (LMIs) that guarantee the desired filtering performance, and the filter gains are then characterized as the solution to a set of LMIs. Finally, a simulation example is given to verify the effectiveness of the theoretical results.","PeriodicalId":383315,"journal":{"name":"2013 21st Iranian Conference on Electrical Engineering (ICEE)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116716514","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
A new colour image watermarking scheme using Cellular Automata Transform and Schur decomposition 基于元胞自动机变换和舒尔分解的彩色图像水印算法
2013 21st Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2013-05-14 DOI: 10.1109/IRANIANCEE.2013.6599623
Nazila Panahi, M. Amirani, S. Behnia, P. Ayubi
{"title":"A new colour image watermarking scheme using Cellular Automata Transform and Schur decomposition","authors":"Nazila Panahi, M. Amirani, S. Behnia, P. Ayubi","doi":"10.1109/IRANIANCEE.2013.6599623","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2013.6599623","url":null,"abstract":"In this work a novel robust colour image watermarking scheme in Cellular Automata Transform (CAT) domain in combination with Schur decomposition is presented. Via different CA bases functions, the CAT domain provides numerous transform patterns, hence it improves the flexibility and security in data hiding. Furthermore, through Schur decomposition, highly transparency and robustness and also faster procedure in comparison with SVD-based methods is obtained. Moreover to enhance transparency and robustness, the watermark encoded by Error Correcting Code is embedded in some blocks of host image, selected by Logistic map. The experimental results confirm the efficiency of the proposed scheme.","PeriodicalId":383315,"journal":{"name":"2013 21st Iranian Conference on Electrical Engineering (ICEE)","volume":"14 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116816050","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
Controlling the coupling ratio of the plasmonic directional couplers by SPM and XPM nonlinear effects 利用SPM和XPM非线性效应控制等离子体定向耦合器的耦合比
2013 21st Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2013-05-14 DOI: 10.1109/IRANIANCEE.2013.6599892
N. Nozhat, N. Granpayeh
{"title":"Controlling the coupling ratio of the plasmonic directional couplers by SPM and XPM nonlinear effects","authors":"N. Nozhat, N. Granpayeh","doi":"10.1109/IRANIANCEE.2013.6599892","DOIUrl":"https://doi.org/10.1109/IRANIANCEE.2013.6599892","url":null,"abstract":"In this paper, we have shown that by increasing the input power in a Kerr-type nonlinear plasmonic directional coupler (PDC), the bar coupling ratio can be controlled. In 3dB performance of the directional coupler, it has been shown that by utilizing the cross phase modulation (XPM) nonlinear effect the required pump power has been reduced significantly compared to the signal power with self phase modulation (SPM) effect.","PeriodicalId":383315,"journal":{"name":"2013 21st Iranian Conference on Electrical Engineering (ICEE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128648338","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
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