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2010 IEEE 18th Signal Processing and Communications Applications Conference最新文献

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Online identity verification system based on palmprint 基于掌纹的在线身份验证系统
2010 IEEE 18th Signal Processing and Communications Applications Conference Pub Date : 2010-04-22 DOI: 10.1109/SIU.2010.5651372
M. Aykut, E. Gedi̇kli̇, M. Ekinci
{"title":"Online identity verification system based on palmprint","authors":"M. Aykut, E. Gedi̇kli̇, M. Ekinci","doi":"10.1109/SIU.2010.5651372","DOIUrl":"https://doi.org/10.1109/SIU.2010.5651372","url":null,"abstract":"A biometric verification system based on palmprint recognition works at the real enviroments is presented in this work. This system initially detects all objects entered in the view of a CCD camera which is settled into hand placement platform. The detected objects are classified as hand objects or not by applying the processes on the image sequences acquired from the camera. In the case of hand object, a palm area as region of interest (ROI) is then selected from the hand regions. The resolution and gray levels of the ROI are also normalized to achieve higher accuracy. In the pattern recognition stage, a gabor-palm image is first created by applying Gabor-based discrete transform, then two different feature extraction approaches (both PCA and KPCA) and two classifications (NN based WED, SVM) methods are simultaneously applied onto the gabor-palmprint images, respectively. In this system, the entrance of a PC room is controlled by authorising of the users whose are successfully verified. The enrollment and verification processes in the presented system are fully performed automatically. The experimental results performed on the real environments show that the proposed biometric system can be easily employed with highly reliable performances in the real applications.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127774449","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
Fast global Fuzzy C-Means clustering for ECG signal classification 快速全局模糊c均值聚类心电信号分类
2010 IEEE 18th Signal Processing and Communications Applications Conference Pub Date : 2010-04-22 DOI: 10.1109/SIU.2010.5651537
Y. Koçyigit, I. Kilic
{"title":"Fast global Fuzzy C-Means clustering for ECG signal classification","authors":"Y. Koçyigit, I. Kilic","doi":"10.1109/SIU.2010.5651537","DOIUrl":"https://doi.org/10.1109/SIU.2010.5651537","url":null,"abstract":"Fuzzy clustering plays an important role in solving problems in the areas of pattern recognition and fuzzy model identification. The Fuzzy C-Means algorithm is one of widely used algorithms. It is based on optimizing an objective function, being responsive to initial conditions; the algorithm usually leads to local minimum results. Aiming at above problem, the fast global Fuzzy C-Means clustering algorithm (FGFCM) has been proposed, which is an incremental approach to clustering, and does not depend on any initial conditions. The algorithm was applied on ECG signals to classification.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127934784","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
Using third order derivative method for syllable concatenation text to speech conversion 采用三阶导数法进行音节拼接文本到语音的转换
2010 IEEE 18th Signal Processing and Communications Applications Conference Pub Date : 2010-04-22 DOI: 10.1109/SIU.2010.5651027
O. Kesemen, Gulay Karakaya
{"title":"Using third order derivative method for syllable concatenation text to speech conversion","authors":"O. Kesemen, Gulay Karakaya","doi":"10.1109/SIU.2010.5651027","DOIUrl":"https://doi.org/10.1109/SIU.2010.5651027","url":null,"abstract":"In this study, two of the audio signal in case of unification is tried to bring the solution to the incompatibility problem. This solution sounds like avoid the spectral distortion of pitch period has also provided protection.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133955415","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
Use of Artificial Neural Networks for prediction of output response of fiber optic microbend sensors 应用人工神经网络预测光纤微弯曲传感器的输出响应
2010 IEEE 18th Signal Processing and Communications Applications Conference Pub Date : 2010-04-22 DOI: 10.1109/SIU.2010.5653974
H. S. Efendioglu, T. Yıldırım, K. Fidanboylu
{"title":"Use of Artificial Neural Networks for prediction of output response of fiber optic microbend sensors","authors":"H. S. Efendioglu, T. Yıldırım, K. Fidanboylu","doi":"10.1109/SIU.2010.5653974","DOIUrl":"https://doi.org/10.1109/SIU.2010.5653974","url":null,"abstract":"The prediction of a microbend sensor response using Artificial Neural Networks (ANNs) has been investigated in this paper. Experiments were conducted with different microbend sensor configurations. By using the one experiment's input and output experimental data among the conducted experiments, the ability of the ANNs in the prediction of sensor response was analyzed. In the training process of the ANN, multi layer perceptron training algorithm such as, Resillient Backpropagation, Levenberg-Marquardt and Fletcher-Reeves Conjugate Gradient algorithms were used. After training process, network was tested and it was seen that, all the algorithms used can predict the sensor response with small errors. Hence, it was concluded that, ANNs can be used to decrease the fault tolerance of fiber optic microbend sensors, to design intelligent and more robust sensors.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133981918","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
Efficient implementation of elliptic curve Diffie-Hellman (ECDH) key distribution algorithm in pool-based cryptographic systems (PBCSs) 基于池的密码系统中椭圆曲线Diffie-Hellman (ECDH)密钥分配算法的高效实现
2010 IEEE 18th Signal Processing and Communications Applications Conference Pub Date : 2010-04-22 DOI: 10.1109/SIU.2010.5653023
M. Toyran, Savas Berber
{"title":"Efficient implementation of elliptic curve Diffie-Hellman (ECDH) key distribution algorithm in pool-based cryptographic systems (PBCSs)","authors":"M. Toyran, Savas Berber","doi":"10.1109/SIU.2010.5653023","DOIUrl":"https://doi.org/10.1109/SIU.2010.5653023","url":null,"abstract":"In Reference [1], the subject of efficient use of random numbers was studied. We gave examples for inefficient and efficient use of random numbers for the case which a random number r is generated according to the rule r < n, where r and n are k-bit integers and n is a fixed integer. In this work, we will show how to apply the 2 methods presented in [1] while implementing elliptic curve Diffie-Hellman (ECDH) algorithm in pool-based cryptographic systems (PBCSs). In this work, we also present a 3. method to use random numbers more efficiently and compare all the 3 methods. To our knowledge, this is the first work on using pool-based random numbers in the implementations of ECDH algorithm.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131934688","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: 5
Joint phase noise estimation and source detection 联合相位噪声估计与源检测
2010 IEEE 18th Signal Processing and Communications Applications Conference Pub Date : 2010-04-22 DOI: 10.1109/SIU.2010.5651312
B. A. Kaleli, H. Şenol, E. Panayirci
{"title":"Joint phase noise estimation and source detection","authors":"B. A. Kaleli, H. Şenol, E. Panayirci","doi":"10.1109/SIU.2010.5651312","DOIUrl":"https://doi.org/10.1109/SIU.2010.5651312","url":null,"abstract":"Rapidly time-varying and random disturbing effects on the phase of a signal waveform are known as phase noise. In this paper, we consider the problem of joint detection of continuous-valued information source output and estimation of a phase noise by using expectation maximization (EM) algorithm. In order to estimate phase noise, initial phase noise values are determined by cubic interpolation that utilizes pilot symbols. Computer simulations are performed for the proposed algorithm and the average mean square error (MSE) — signal to noise ratio (SNR) performance of source detector and phase noise estimator is presented for each iteration of the algorithm. Moreover, average MSE — pilot spacing performance curves of phase noise estimator are given for various SNR values.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"20 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134078966","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
Sparsity-driven focused SAR image formation 稀疏驱动聚焦SAR图像生成
2010 IEEE 18th Signal Processing and Communications Applications Conference Pub Date : 2010-04-22 DOI: 10.1109/SIU.2010.5653826
N. O. Onhon, M. Çetin
{"title":"Sparsity-driven focused SAR image formation","authors":"N. O. Onhon, M. Çetin","doi":"10.1109/SIU.2010.5653826","DOIUrl":"https://doi.org/10.1109/SIU.2010.5653826","url":null,"abstract":"Most imaging systems are adversely affected by the errors in the observation model. One significant example is encountered in synthetic aperture radar (SAR) imaging. Inexact measurement of the distance between the SAR sensing platform and the scene center or random delays on the transmitted signal result in model errors. These errors appear as phase errors in the SAR data and they cause defocusing of the reconstructed image. Mostly, phase errors vary only in the cross-range direction. However, in many scenarios, it is possible to encounter 2D phase errors, which are both range and cross-range dependent. In this study, a sparsity-driven method for joint SAR imaging and phase error estimation is proposed. This method is able to correct 1D as well as 2D phase errors. Experimental results show the effectiveness of the proposed method.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115608109","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 approach for open-close eye states detection: Complex wavelet transform and complex-valued ANN 一种新的睁眼状态检测方法:复小波变换和复值神经网络
2010 IEEE 18th Signal Processing and Communications Applications Conference Pub Date : 2010-04-22 DOI: 10.1109/SIU.2010.5650970
M. Celebi, M. Ceylan
{"title":"A new approach for open-close eye states detection: Complex wavelet transform and complex-valued ANN","authors":"M. Celebi, M. Ceylan","doi":"10.1109/SIU.2010.5650970","DOIUrl":"https://doi.org/10.1109/SIU.2010.5650970","url":null,"abstract":"A novel method for open-close eye states detection, based on complex wavelet transform (CWT) and complex-valued artificial neural network (CVANN) is proposed in this study. Firstly, color information of images is used. Red images for eye are chosen as intensity image of color image. After getting the red image of seperately right and left eye, the color information is used to feature extraction with CWT. Features of eyes are extracted using CWT with 4th level and image size is reduced. After then, four statistical features (maximum value, minimum value, mean value and standard deviation) are obtained from extracted features. These new statistical features are presented to CVANN as inputs. Image set including ten person images with open and close eye states is used in this study, CVANN detected eye states with % 6.7 numerical test error. Classification results shown that, one of ten images is misclassified for two states.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114766700","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: 2
Hypothesis based detection of building with rectilinear projection in satellite images using shade and color information 基于假设的基于阴影和颜色信息的卫星图像直线投影建筑检测
2010 IEEE 18th Signal Processing and Communications Applications Conference Pub Date : 2010-04-22 DOI: 10.1109/SIU.2010.5651464
Volkan Guducu, U. Halici
{"title":"Hypothesis based detection of building with rectilinear projection in satellite images using shade and color information","authors":"Volkan Guducu, U. Halici","doi":"10.1109/SIU.2010.5651464","DOIUrl":"https://doi.org/10.1109/SIU.2010.5651464","url":null,"abstract":"A new hypothesis based method for detecting rectilinear buildings, that have ground projection made of combination of rectangles, in satellite images is proposed. While the hypotheses are established using the lines detected in the satellite images they are verified by using shadow and color segmentation information. The proposed method is implemented in MATLAB and tested in satellite images of different urban areas. The experimental results obtained are encouraging.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114852108","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
Effects of substrate thickness and dielectric to microstrip dipol antenna parameters for 2.4 GHz wireless communication devices 2.4 GHz无线通信器件中衬底厚度和介电-微带偶极天线参数的影响
2010 IEEE 18th Signal Processing and Communications Applications Conference Pub Date : 2010-04-22 DOI: 10.1109/SIU.2010.5650377
Burak Turkoglu, O. Ceylan, H. B. Yagci, S. Paker, Osman Palamutcuogullan
{"title":"Effects of substrate thickness and dielectric to microstrip dipol antenna parameters for 2.4 GHz wireless communication devices","authors":"Burak Turkoglu, O. Ceylan, H. B. Yagci, S. Paker, Osman Palamutcuogullan","doi":"10.1109/SIU.2010.5650377","DOIUrl":"https://doi.org/10.1109/SIU.2010.5650377","url":null,"abstract":"İt is aimed to design 2.4 GHz microstrip-dipole antennas for wireless communication systems by using different substrates with different physical properties in this paper. Designs were made according to general microstrip dipole structure. Ansoft HFSS programme was used for simulations of antennas and simulations were used to indicate effects of substrate thickness, tangent loss and dielectric to antenna.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117143083","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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