Pub Date : 2016-11-01DOI: 10.1109/CCINTELS.2016.7878227
N. Gupta, P. Bansod
The SISO voltage mode multifunctional filter topology is realized in this paper using a modified CCCCTA which realizes low-pass, high-pass, band-pass and band reject filter responses. The proposed topology consists of a CCCCTA, two 8-bit capacitor banks and a programmable input circuit using switches and VDTA. This circuit reduces the requirement of large amount of biasing current, given wider voltage transfer range and lesser power dissipation. The proposed filter gives a control over filter parameters such as Q-factor and cut off frequency by digitally controlling the capacitor bank. Required filter response is selected by programmable input circuit using same circuit topology. The circuit is simulated using Cadence Virtuoso UMC 180nm CMOS technology at ±1.5V power supply voltage.
{"title":"Programmable voltage mode multifunctional filter using modified CMOS current controlled current conveyor transconductance amplifier","authors":"N. Gupta, P. Bansod","doi":"10.1109/CCINTELS.2016.7878227","DOIUrl":"https://doi.org/10.1109/CCINTELS.2016.7878227","url":null,"abstract":"The SISO voltage mode multifunctional filter topology is realized in this paper using a modified CCCCTA which realizes low-pass, high-pass, band-pass and band reject filter responses. The proposed topology consists of a CCCCTA, two 8-bit capacitor banks and a programmable input circuit using switches and VDTA. This circuit reduces the requirement of large amount of biasing current, given wider voltage transfer range and lesser power dissipation. The proposed filter gives a control over filter parameters such as Q-factor and cut off frequency by digitally controlling the capacitor bank. Required filter response is selected by programmable input circuit using same circuit topology. The circuit is simulated using Cadence Virtuoso UMC 180nm CMOS technology at ±1.5V power supply voltage.","PeriodicalId":158982,"journal":{"name":"2016 2nd International Conference on Communication Control and Intelligent Systems (CCIS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130031173","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}
Pub Date : 2016-11-01DOI: 10.1109/CCINTELS.2016.7878207
M. Barik, Susanta Kumar Sarangi, Sushanta Kumar Sahu
Real-time speaker identification (SI) system is the application of Biometric system where the voice samples are collected in real-time. Due to that contamination of noises in speaker samples are the natural scenario. In this work, we tried to increase the accuracy of real-time SI system. We analysed the SI system by using different feature extraction methods with GMM-ML classifier. We found that MFCC feature extraction method is the best one among other cepstral features in real-time SI system also. We used different scale based feature extraction methods for the evaluation of SI system. We used the database for SI system created in real-time.
{"title":"Real-time speaker identification system using cepstral features","authors":"M. Barik, Susanta Kumar Sarangi, Sushanta Kumar Sahu","doi":"10.1109/CCINTELS.2016.7878207","DOIUrl":"https://doi.org/10.1109/CCINTELS.2016.7878207","url":null,"abstract":"Real-time speaker identification (SI) system is the application of Biometric system where the voice samples are collected in real-time. Due to that contamination of noises in speaker samples are the natural scenario. In this work, we tried to increase the accuracy of real-time SI system. We analysed the SI system by using different feature extraction methods with GMM-ML classifier. We found that MFCC feature extraction method is the best one among other cepstral features in real-time SI system also. We used different scale based feature extraction methods for the evaluation of SI system. We used the database for SI system created in real-time.","PeriodicalId":158982,"journal":{"name":"2016 2nd International Conference on Communication Control and Intelligent Systems (CCIS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124281199","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}
Pub Date : 2016-11-01DOI: 10.1109/CCINTELS.2016.7878213
Rita Choudhary, G. Parmar
The exponential growth in digital data over the internet has increased the requirement of a robust and high quality watermarking techniques. In general, the image watermarking techniques embed the binary or grayscale watermark into the cover image or into many multimedia images. In this method, variable visibility factor is used for the insertion of watermark into the low frequency component of the host image. In this paper, DWT-based image watermarking is proposed using level i.e. 2-level and also its parameters such as PSNR and NCC are compared with respect to 1-level DWT. The invisibility of watermarks generated using proposed method is depicted in the simulated results.
{"title":"A robust image watermarking technique using 2-level discrete wavelet transform (DWT)","authors":"Rita Choudhary, G. Parmar","doi":"10.1109/CCINTELS.2016.7878213","DOIUrl":"https://doi.org/10.1109/CCINTELS.2016.7878213","url":null,"abstract":"The exponential growth in digital data over the internet has increased the requirement of a robust and high quality watermarking techniques. In general, the image watermarking techniques embed the binary or grayscale watermark into the cover image or into many multimedia images. In this method, variable visibility factor is used for the insertion of watermark into the low frequency component of the host image. In this paper, DWT-based image watermarking is proposed using level i.e. 2-level and also its parameters such as PSNR and NCC are compared with respect to 1-level DWT. The invisibility of watermarks generated using proposed method is depicted in the simulated results.","PeriodicalId":158982,"journal":{"name":"2016 2nd International Conference on Communication Control and Intelligent Systems (CCIS)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122899172","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}
Pub Date : 2016-11-01DOI: 10.1109/CCINTELS.2016.7878206
T. Kutzner, Ingrid Bönninger, C. Travieso, M. Dutta, Anushikha Singh
Real handwriting authentication systems need a robust writer identification over a long time period. The paper analyzes signature sessions of the ATV-Signature Long Term Database (ATV-SLT DB). The database contains 6 sessions generated by 27 users over 15 month. The quality change of the verification results over a period of 15 month is examined. 64static and dynamic biometric features from the ATV-SLT DB sessions are extracted and 3 different classifiers are used. For the impostor test a 7th session is added, the impostor session, with 6 signatures for each user. The best result of 99.17% success rate for a correct classification is reached with the k-Nearest Neighbor classifier. The best result of 2.47% false accepted rate is reached with Naïve Bayes classifier.
{"title":"Study of long-term quality of online signature verification systems","authors":"T. Kutzner, Ingrid Bönninger, C. Travieso, M. Dutta, Anushikha Singh","doi":"10.1109/CCINTELS.2016.7878206","DOIUrl":"https://doi.org/10.1109/CCINTELS.2016.7878206","url":null,"abstract":"Real handwriting authentication systems need a robust writer identification over a long time period. The paper analyzes signature sessions of the ATV-Signature Long Term Database (ATV-SLT DB). The database contains 6 sessions generated by 27 users over 15 month. The quality change of the verification results over a period of 15 month is examined. 64static and dynamic biometric features from the ATV-SLT DB sessions are extracted and 3 different classifiers are used. For the impostor test a 7th session is added, the impostor session, with 6 signatures for each user. The best result of 99.17% success rate for a correct classification is reached with the k-Nearest Neighbor classifier. The best result of 2.47% false accepted rate is reached with Naïve Bayes classifier.","PeriodicalId":158982,"journal":{"name":"2016 2nd International Conference on Communication Control and Intelligent Systems (CCIS)","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121524381","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}
Pub Date : 2016-11-01DOI: 10.1109/CCINTELS.2016.7878229
Manish Kumar, Vinay Kumar Deolia, Dheeraj Kalra
This paper proposed an UWB LNA using 0.18μm CMOS technology with a wideband input matching circuit. The cascode structure and source degeneration are adopted to achieve low noise figure and high gain characteristics. Input reflection coefficient and reverse isolation are optimized in UWB band through parametric analysis. The proposed LNA achieves a high gain of 22.082dB at 5.059GHz and minimum noise figure of 1.094dB.
{"title":"DESIGN and simlation of UWB LNA using 0.18 μm CMOS technology","authors":"Manish Kumar, Vinay Kumar Deolia, Dheeraj Kalra","doi":"10.1109/CCINTELS.2016.7878229","DOIUrl":"https://doi.org/10.1109/CCINTELS.2016.7878229","url":null,"abstract":"This paper proposed an UWB LNA using 0.18μm CMOS technology with a wideband input matching circuit. The cascode structure and source degeneration are adopted to achieve low noise figure and high gain characteristics. Input reflection coefficient and reverse isolation are optimized in UWB band through parametric analysis. The proposed LNA achieves a high gain of 22.082dB at 5.059GHz and minimum noise figure of 1.094dB.","PeriodicalId":158982,"journal":{"name":"2016 2nd International Conference on Communication Control and Intelligent Systems (CCIS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126436398","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}
Pub Date : 2016-11-01DOI: 10.1109/CCINTELS.2016.7878226
Tanmoy De, M. Mohapatra, A. K. Panda
In this work, a AlGaN/GaN based High Electron Mobility Transistor with 3 μm gate length is designed and simulated with the Silvaco TCAD software which is passivated by SiO2. A drain current of 658 mA/mm is found for a gate voltage of 2.5 V. The transconductance of the device is 123 mS/mm at the gate voltage of 2V. A maximum output conductance of 163 mS/mm is obtained at the drain voltage of 45 V. The gate to source and gate to drain capacitance is calculated for the device. The cutoff frequency of the device is 2.6 GHz and the maximum frequency oscillation of the device is 9.8 GHz. A minimum noise figure of 11.6 dB is obtained at the operating frequency 5 GHz. Intrinsic time delay of the device is 122 ps. These properties prove that the AlGaN/GaN based HEMT is perfect for high power applications as well as microwave applications.
{"title":"DC and RF performance analysis of AlGaN/GaN based HEMT","authors":"Tanmoy De, M. Mohapatra, A. K. Panda","doi":"10.1109/CCINTELS.2016.7878226","DOIUrl":"https://doi.org/10.1109/CCINTELS.2016.7878226","url":null,"abstract":"In this work, a AlGaN/GaN based High Electron Mobility Transistor with 3 μm gate length is designed and simulated with the Silvaco TCAD software which is passivated by SiO2. A drain current of 658 mA/mm is found for a gate voltage of 2.5 V. The transconductance of the device is 123 mS/mm at the gate voltage of 2V. A maximum output conductance of 163 mS/mm is obtained at the drain voltage of 45 V. The gate to source and gate to drain capacitance is calculated for the device. The cutoff frequency of the device is 2.6 GHz and the maximum frequency oscillation of the device is 9.8 GHz. A minimum noise figure of 11.6 dB is obtained at the operating frequency 5 GHz. Intrinsic time delay of the device is 122 ps. These properties prove that the AlGaN/GaN based HEMT is perfect for high power applications as well as microwave applications.","PeriodicalId":158982,"journal":{"name":"2016 2nd International Conference on Communication Control and Intelligent Systems (CCIS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132528199","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}
Pub Date : 2016-11-01DOI: 10.1109/CCINTELS.2016.7878199
Rinki Gupta, Ankita Kulshreshtha
Electromyography is gaining prominence in wearable electronic devices with improved design of surface electrodes and increased demand in various fields such as health monitoring, prosthetic control and assistive technology. Surface electromyogram signals have been analyzed using conventional time-domain, frequency-domain, and time-frequency domain features as well as high-order spectral analysis since they have been shown to be non-Gaussian random processes arising from non-linear system. In this paper, two novel high-order spectral features have been proposed for analysis of dual-channel surface electromyogram signals for different hand activities and rest position. The characteristics of the surface electromyogram signals revealed by the proposed features are shown to be different from the corresponding features extracted from second-order spectra.
{"title":"Analysis of dual-channel surface electromyogram using second-order and higher-order spectral features","authors":"Rinki Gupta, Ankita Kulshreshtha","doi":"10.1109/CCINTELS.2016.7878199","DOIUrl":"https://doi.org/10.1109/CCINTELS.2016.7878199","url":null,"abstract":"Electromyography is gaining prominence in wearable electronic devices with improved design of surface electrodes and increased demand in various fields such as health monitoring, prosthetic control and assistive technology. Surface electromyogram signals have been analyzed using conventional time-domain, frequency-domain, and time-frequency domain features as well as high-order spectral analysis since they have been shown to be non-Gaussian random processes arising from non-linear system. In this paper, two novel high-order spectral features have been proposed for analysis of dual-channel surface electromyogram signals for different hand activities and rest position. The characteristics of the surface electromyogram signals revealed by the proposed features are shown to be different from the corresponding features extracted from second-order spectra.","PeriodicalId":158982,"journal":{"name":"2016 2nd International Conference on Communication Control and Intelligent Systems (CCIS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127318873","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}
Pub Date : 2016-11-01DOI: 10.1109/CCINTELS.2016.7878220
A. A. Godbole, Almas Ambreen
This work deals with the problem of mitigating the mismatched uncertainties from the system via disturbance observer enhanced sliding mode control technique. For illustration, we have considered a third order model of the plant. A new sliding surface is designed which augments the disturbance estimate in it. This estimate reduces the discontinuous component of control making it smooth and implementable.
{"title":"Disturbance observer augmented sliding mode control for mismatched uncertain system","authors":"A. A. Godbole, Almas Ambreen","doi":"10.1109/CCINTELS.2016.7878220","DOIUrl":"https://doi.org/10.1109/CCINTELS.2016.7878220","url":null,"abstract":"This work deals with the problem of mitigating the mismatched uncertainties from the system via disturbance observer enhanced sliding mode control technique. For illustration, we have considered a third order model of the plant. A new sliding surface is designed which augments the disturbance estimate in it. This estimate reduces the discontinuous component of control making it smooth and implementable.","PeriodicalId":158982,"journal":{"name":"2016 2nd International Conference on Communication Control and Intelligent Systems (CCIS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126374393","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}
Pub Date : 2016-11-01DOI: 10.1109/CCINTELS.2016.7878202
Ankita Saraf
Additive noise removal from a given image is an important task in digital image processing for which denoising algorithms are used. The goal of any denoising algorithm is to attenuate the noise properly and to preserve the useful content of an image. Although various denoising algorithms have been proposed to remove noise but there is still scope of improvement. The main focus of this paper is, first, analyze the basic denoising approaches and to compare them, second, to study post-stage filtering technique using method noise and reweight schemes. In this case study, we observe through our experiments that the post-filtering techniques have more potential to attenuate the noise properly, which is left by the initially applied denoising approach. The denoising performance of all considered methods is compared using two parameters: PSNR and MSSIM.
{"title":"A new reweight scheme for bilateral and non-local means approach for image denoising","authors":"Ankita Saraf","doi":"10.1109/CCINTELS.2016.7878202","DOIUrl":"https://doi.org/10.1109/CCINTELS.2016.7878202","url":null,"abstract":"Additive noise removal from a given image is an important task in digital image processing for which denoising algorithms are used. The goal of any denoising algorithm is to attenuate the noise properly and to preserve the useful content of an image. Although various denoising algorithms have been proposed to remove noise but there is still scope of improvement. The main focus of this paper is, first, analyze the basic denoising approaches and to compare them, second, to study post-stage filtering technique using method noise and reweight schemes. In this case study, we observe through our experiments that the post-filtering techniques have more potential to attenuate the noise properly, which is left by the initially applied denoising approach. The denoising performance of all considered methods is compared using two parameters: PSNR and MSSIM.","PeriodicalId":158982,"journal":{"name":"2016 2nd International Conference on Communication Control and Intelligent Systems (CCIS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132477540","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}
Pub Date : 2016-11-01DOI: 10.1109/CCINTELS.2016.7878205
V. Gupta, Namita Sengar, M. Dutta
In this paper an algorithm is proposed for blood vessel extraction from an eye's fundus image. Blood vessels removal and detection is an important step to find features or abnormalities like red lesions, optic nerve and fovea used for retinal health diagnosis. The proposed method uses a strategic combination of green and L channel to develop the final vessel structure which increases the accuracy. A combination of morphological operators and intensity based thresholding are used which creates a method which is computationally efficient and less complex. A set of public DRIVE data of fundus image of an eye is used to test the proposed algorithm. The results show a better comprehensive performance of vessel extraction and computationally efficient method.
{"title":"Automated segmentation of blood vasculature from retinal images","authors":"V. Gupta, Namita Sengar, M. Dutta","doi":"10.1109/CCINTELS.2016.7878205","DOIUrl":"https://doi.org/10.1109/CCINTELS.2016.7878205","url":null,"abstract":"In this paper an algorithm is proposed for blood vessel extraction from an eye's fundus image. Blood vessels removal and detection is an important step to find features or abnormalities like red lesions, optic nerve and fovea used for retinal health diagnosis. The proposed method uses a strategic combination of green and L channel to develop the final vessel structure which increases the accuracy. A combination of morphological operators and intensity based thresholding are used which creates a method which is computationally efficient and less complex. A set of public DRIVE data of fundus image of an eye is used to test the proposed algorithm. The results show a better comprehensive performance of vessel extraction and computationally efficient method.","PeriodicalId":158982,"journal":{"name":"2016 2nd International Conference on Communication Control and Intelligent Systems (CCIS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132704707","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}
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