2019 27th Iranian Conference on Electrical Engineering (ICEE)最新文献_第3页

DTO: Donkey Theorem Optimization 驴定理优化

2019 27th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2019-04-01 DOI: 10.1109/IranianCEE.2019.8786601

M. Dehghani, M. Mardaneh, O. Malik, S. M. NouraeiPour

引用次数: 25

End to End Fingerprint Verification Based on Convolutional Neural Network 基于卷积神经网络的端到端指纹验证

2019 27th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2019-04-01 DOI: 10.1109/IranianCEE.2019.8786720

Behnam Bakhshi, H. Veisi

{"title":"End to End Fingerprint Verification Based on Convolutional Neural Network","authors":"Behnam Bakhshi, H. Veisi","doi":"10.1109/IranianCEE.2019.8786720","DOIUrl":"https://doi.org/10.1109/IranianCEE.2019.8786720","url":null,"abstract":"Fingerprint recognition has become one of the most reliable ways for human identification due to its uniqueness and consistency. The fingerprint matching problem is formulated as a classification system in which a model is learned to classify every two fingerprints as a genuine or impostor pair. Traditional approaches perform a feature extraction step before matching a fingerprint pair. On the other hand, recently convolutional neural networks (CNNs) have presented exceptional success for many image processing tasks such as face recognition. However, there have been only a few attempts to develop fully CNN methods to deal with challenges in fingerprint recognition problem. In this paper, a CNN-based fingerprint matching method has been developed. A key contribution of the proposed method is to directly learn fingerprint patterns from raw pixels of images. In order to achieve robustness and characterize the similarities comprehensively, incomplete and partial fingerprint pairs were taken into account to extract complementary features. Also, we proposed an end to end CNN approach that contains the feature extraction part of the trained AlexNet network. The network reached an EER of 17.5% on the FVC2002 dataset, that shows better results in comparison to the MinutiaSC and A-KAZE methods.","PeriodicalId":6683,"journal":{"name":"2019 27th Iranian Conference on Electrical Engineering (ICEE)","volume":"23 1","pages":"1994-1998"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76759631","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

An Automated System for Diagnosis of Sleep Apnea Syndrome Using Single-Channel EEG Signal 基于单通道脑电图信号的睡眠呼吸暂停综合征自动诊断系统

2019 27th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2019-04-01 DOI: 10.1109/IranianCEE.2019.8786667

Saba Bayatfar, Saman Seifpour, M. A. Oskoei, Ali Khadem

{"title":"An Automated System for Diagnosis of Sleep Apnea Syndrome Using Single-Channel EEG Signal","authors":"Saba Bayatfar, Saman Seifpour, M. A. Oskoei, Ali Khadem","doi":"10.1109/IranianCEE.2019.8786667","DOIUrl":"https://doi.org/10.1109/IranianCEE.2019.8786667","url":null,"abstract":"Today, a large number of people all around the world are affected or threatened by different kinds of sleep disorders, especially sleep apnea syndrome (SAS). Since EEG activities during sleep exhibit physiological and pathological situation of the brain, analyzing the oscillations during various sleep stages are of fundamental importance for the assessment of sleep disorders. On the other hand, recent developments in the fields of signal processing and pattern recognition have prompted sleep researchers to employ accurate and reliable computerized systems in diagnosis processes. The purpose of this paper was to develop a novel automated methodology for diagnosing apneic patients from healthy subjects using single-channel EEG signal. To this end, it was concentrated on the rapid eye movement (REM) sleep. A comprehensive time-domain based feature extraction scheme was proposed for extracting features from various EEG frequency bands of REM sleep. Uninformative features were eliminated by minimal redundancy maximal relevance (mRMR) feature selection algorithm. An ensemble learning method namely random undersampling boosting (RUSBoost) was then utilized for the purpose of classification. The effectiveness and generalizability of the proposed approach were evaluated using k-fold cross-validation technique. The experimental results demonstrate that the proposed scheme can be used as an efficient method for automated SAS screening with regard to promising classification performance in terms of accuracy, sensitivity, and specificity.","PeriodicalId":6683,"journal":{"name":"2019 27th Iranian Conference on Electrical Engineering (ICEE)","volume":"6 1","pages":"1829-1833"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82092916","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

Wave Propagation in Metallic Slab Waveguides Undergoing Arbitrary Temporal Variations of Permittivity 介电常数随时间任意变化的金属板波导中的波传播

2019 27th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2019-04-01 DOI: 10.1109/IranianCEE.2019.8786763

Mahdi Chegnizadeh, M. Memarian, K. Mehrany

引用次数: 0

Robust Nonlinear Control of Singular Systems with Saturating Actuator Constraint 具有饱和执行器约束的奇异系统的鲁棒非线性控制

2019 27th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2019-04-01 DOI: 10.1109/IranianCEE.2019.8786509

E. Jafari, T. Binazadeh

引用次数: 1

SBGRP as an Improved Stable CDS-Based Routing Protocol in Vehicular Ad Hoc Networks SBGRP是一种改进的基于cds的车载自组网稳定路由协议

2019 27th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2019-04-01 DOI: 10.1109/IranianCEE.2019.8786705

Reyhane Gazori, G. Mirjalily

引用次数: 1

A new approach for field weakening in a surface mounted permanent magnet synchronous motor by winding switching * 一种用绕组开关削弱表面安装永磁同步电机磁场的新方法*

2019 27th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2019-04-01 DOI: 10.1109/IranianCEE.2019.8786367

S. Hemmati, Mostafa Barigh

引用次数: 5

A Novel 10-bit 1.2GS/s Hybrid Digital to Analog Converter with 8.4mW Power Consumption 一种新型10位1.2GS/s混合数模转换器，功耗8.4mW

2019 27th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2019-04-01 DOI: 10.1109/IranianCEE.2019.8786422

A. Ahmadi, Hossein Ghasemian, E. Abiri, R. Ghasemi

引用次数: 1

A Novel Image Perturbation Approach: Perturbing Latent Representation 一种新的图像摄动方法:摄动潜在表示

2019 27th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2019-04-01 DOI: 10.1109/IranianCEE.2019.8786388

Nader Asadi, M. Eftekhari

引用次数: 0

Deep Real-world and Real-time Face Identification System 深度真实世界和实时人脸识别系统

2019 27th Iranian Conference on Electrical Engineering (ICEE) Pub Date : 2019-04-01 DOI: 10.1109/IranianCEE.2019.8786401

P. Ahmadvand, R. Ebrahimpour, Payam Ahmadvand

引用次数: 1