Pub Date : 2017-05-01DOI: 10.1109/SSPS.2017.8071610
Ravindra Sonavane, Poonam Sonar, Surendra Sutar
A proper and accurate classification technique with detection of brain tumor has been presented and proposed. The system uses neural network based approach for brain and breast image classification. Now a day's Magnetic resonance imaging (MRI technique is used for early detection of any abnormal changes in tissues and organs. The projected method is evaluated on two distinct databases i.e. Clinical database is database of brain MRI and one more Standard Digital Database for Screening Mammography (DDSM). The proposed system consists of Preprocessing using image normalization, morphological operations using erosion, dilation and Anisotropic Diffusion Filter (ADF), Extraction of texture feature using gray level co-occurrence matrix (GLCM) and classification into normal and abnormal using machine learning algorithm and quantization techniques i.e. LVQ. The proposed system achieved the accuracy of 68.85% for DDSM mammography database and 79.35% on clinical brain MRI database.
{"title":"Classification of MRI brain tumor and mammogram images using learning vector quantization neural network","authors":"Ravindra Sonavane, Poonam Sonar, Surendra Sutar","doi":"10.1109/SSPS.2017.8071610","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071610","url":null,"abstract":"A proper and accurate classification technique with detection of brain tumor has been presented and proposed. The system uses neural network based approach for brain and breast image classification. Now a day's Magnetic resonance imaging (MRI technique is used for early detection of any abnormal changes in tissues and organs. The projected method is evaluated on two distinct databases i.e. Clinical database is database of brain MRI and one more Standard Digital Database for Screening Mammography (DDSM). The proposed system consists of Preprocessing using image normalization, morphological operations using erosion, dilation and Anisotropic Diffusion Filter (ADF), Extraction of texture feature using gray level co-occurrence matrix (GLCM) and classification into normal and abnormal using machine learning algorithm and quantization techniques i.e. LVQ. The proposed system achieved the accuracy of 68.85% for DDSM mammography database and 79.35% on clinical brain MRI database.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122124994","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 : 2017-05-01DOI: 10.1109/SSPS.2017.8071611
G. K. Reddy, D. Punniamoorthy, Vikram S. Kamadal, S. Srinivas
The log-periodic antennas (LP), also know as a log-periodic array or log-periodic aerial which are very effectively useful to achieve large bandwidth. By careful design of planar log-periodic antennas with impedance matching we get large bandwidth. The chebyshev impedance matching is one of the best techniques to produce large bandwidth in log-periodic antenna. In this paper four arm log-periodic antenna is designed for the both linear and circular polarization. When the 900 phase delay applied between the two dipoles the antenna produce circular polarization. The antenna is operated at 3GHz gives the band of operation from 2GHz band upto K/Ka band. According to IEEE 802.11 the 5.1GHz to 5.8GHz band is occupied for Wi-Fi applications. So there is a need to eliminate the Wi-Fi band by using integrating filter method. The antenna is designed and simulated by using HFSS software, the variation of voltage standing wave ratio(VSWR), return loss and axial ratio plots are generated from 2GHz to 18GHz. The antenna is fabricated on FR 4 substrate for band rejection by using integrating filter method. Measured results are well accepted with simulated results.
{"title":"Wideband four arm log-periodic planar antenna with Wi-Fi band rejection","authors":"G. K. Reddy, D. Punniamoorthy, Vikram S. Kamadal, S. Srinivas","doi":"10.1109/SSPS.2017.8071611","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071611","url":null,"abstract":"The log-periodic antennas (LP), also know as a log-periodic array or log-periodic aerial which are very effectively useful to achieve large bandwidth. By careful design of planar log-periodic antennas with impedance matching we get large bandwidth. The chebyshev impedance matching is one of the best techniques to produce large bandwidth in log-periodic antenna. In this paper four arm log-periodic antenna is designed for the both linear and circular polarization. When the 900 phase delay applied between the two dipoles the antenna produce circular polarization. The antenna is operated at 3GHz gives the band of operation from 2GHz band upto K/Ka band. According to IEEE 802.11 the 5.1GHz to 5.8GHz band is occupied for Wi-Fi applications. So there is a need to eliminate the Wi-Fi band by using integrating filter method. The antenna is designed and simulated by using HFSS software, the variation of voltage standing wave ratio(VSWR), return loss and axial ratio plots are generated from 2GHz to 18GHz. The antenna is fabricated on FR 4 substrate for band rejection by using integrating filter method. Measured results are well accepted with simulated results.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126268701","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 : 2017-05-01DOI: 10.1109/SSPS.2017.8071569
Kunjabihari Swain, S. Mahato, Meerina Patro, S. K. Pattnayak
Productive online cattle health monitoring can help those farmers who suffer on a regular basis due to the poor health condition of their cattle and unavailability of good veterinary doctors in their vicinity. In this paper, we present such a device which provides an opportunity to the farmers to monitor and compare the present health parameters of the cattle with the standard reference healthy parameters, by which they would be able to spot any deterioration in the cattle's health. To prepare such a device for real time application, Arduino UNO, Arduino NANO, Xbee module and different types of sensors for taking the cattle body parameters have been used. This paper focuses mainly on the parameters like heart rate, temperature, rumination and body humidity of the cattle.
{"title":"Cattle health monitoring system using Arduino and LabVIEW for early detection of diseases","authors":"Kunjabihari Swain, S. Mahato, Meerina Patro, S. K. Pattnayak","doi":"10.1109/SSPS.2017.8071569","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071569","url":null,"abstract":"Productive online cattle health monitoring can help those farmers who suffer on a regular basis due to the poor health condition of their cattle and unavailability of good veterinary doctors in their vicinity. In this paper, we present such a device which provides an opportunity to the farmers to monitor and compare the present health parameters of the cattle with the standard reference healthy parameters, by which they would be able to spot any deterioration in the cattle's health. To prepare such a device for real time application, Arduino UNO, Arduino NANO, Xbee module and different types of sensors for taking the cattle body parameters have been used. This paper focuses mainly on the parameters like heart rate, temperature, rumination and body humidity of the cattle.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126768424","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 : 2017-05-01DOI: 10.1109/SSPS.2017.8071604
P. Sundaram, R. Neela
This paper presents a novel method for analysis and assessment of various power quality events using Hilbert transform based Fuzzy system. Hilbert transform analyzes the distorted kinds of voltage waveforms and then extract their important features. The various kinds of distorted voltage waveforms are developed through the Matlab parametric equation. These extracted features are given to Fuzzy system in order to classify both the single and combined form of power quality events. The results indicates that the Hilbert transform based Fuzzy system can effectively classify the single and combined form of Power Quality events. The classification accuracy of the proposed method are validated by comparing them against Kalman filter, S-transform based fuzzy classifiers.
{"title":"Analysis and classification of power quality events using Hilbert transform and fuzzy system","authors":"P. Sundaram, R. Neela","doi":"10.1109/SSPS.2017.8071604","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071604","url":null,"abstract":"This paper presents a novel method for analysis and assessment of various power quality events using Hilbert transform based Fuzzy system. Hilbert transform analyzes the distorted kinds of voltage waveforms and then extract their important features. The various kinds of distorted voltage waveforms are developed through the Matlab parametric equation. These extracted features are given to Fuzzy system in order to classify both the single and combined form of power quality events. The results indicates that the Hilbert transform based Fuzzy system can effectively classify the single and combined form of Power Quality events. The classification accuracy of the proposed method are validated by comparing them against Kalman filter, S-transform based fuzzy classifiers.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129218368","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 : 2017-05-01DOI: 10.1109/SSPS.2017.8071627
V. Venkatesh, L. Yamini, C. Kamalakannan
In recent trends Direct Current (DC) machine is used in many areas of electrical machine drive systems because of its simplicity in construction, torque power and efficient speed control. The DC motor gives better and reliable performance along with higher torque. The speed control of DC motor is obtained by the use of Proportional Integral (PI) controller. PI controllers are largely used in the industries due to their structure simplicity and easiness in implementing them. Our aim is to be design of positive output super lift converter fed DC motor and to regulate the DC motor speed by using conventional controller. In a positive output super-lift converter the output voltage keeps on increasing progressively in each stage by a geometric progression and the voltage transfer gain is efficiently increased.
{"title":"Regulation of speed of DC machine using super lift converter","authors":"V. Venkatesh, L. Yamini, C. Kamalakannan","doi":"10.1109/SSPS.2017.8071627","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071627","url":null,"abstract":"In recent trends Direct Current (DC) machine is used in many areas of electrical machine drive systems because of its simplicity in construction, torque power and efficient speed control. The DC motor gives better and reliable performance along with higher torque. The speed control of DC motor is obtained by the use of Proportional Integral (PI) controller. PI controllers are largely used in the industries due to their structure simplicity and easiness in implementing them. Our aim is to be design of positive output super lift converter fed DC motor and to regulate the DC motor speed by using conventional controller. In a positive output super-lift converter the output voltage keeps on increasing progressively in each stage by a geometric progression and the voltage transfer gain is efficiently increased.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"430 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122868088","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 : 2017-05-01DOI: 10.1109/SSPS.2017.8071642
K.S. Sabarika, S. Selvan
The proposal of new efficient noise removal and deblurring methods are significant challenge in image processing. Wavelet algorithms are commonly used for denoising. Although wavelet algorithm is very efficient for denoising and deblurring, it suffers from shift variance. In order to overcome shift variance, a proposed algorithm known as Framelet algorithm is used to eliminate noise and blur using thresholding. Results considering images corrupted by Gaussian noise and motion blur are reported. The performance of denoising and deblurring are estimated by Peak signal to noise ratio (PSNR) and Structural similarity index measure (SSIM).
{"title":"Image denosing and deblurring using framelet decomposition","authors":"K.S. Sabarika, S. Selvan","doi":"10.1109/SSPS.2017.8071642","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071642","url":null,"abstract":"The proposal of new efficient noise removal and deblurring methods are significant challenge in image processing. Wavelet algorithms are commonly used for denoising. Although wavelet algorithm is very efficient for denoising and deblurring, it suffers from shift variance. In order to overcome shift variance, a proposed algorithm known as Framelet algorithm is used to eliminate noise and blur using thresholding. Results considering images corrupted by Gaussian noise and motion blur are reported. The performance of denoising and deblurring are estimated by Peak signal to noise ratio (PSNR) and Structural similarity index measure (SSIM).","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114745809","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 : 2017-05-01DOI: 10.1109/SSPS.2017.8071651
Rathimala Kannan, Menagaeswary A.P. Govindasamy, S. Jayashree, C. Malarvizhi
Despite of numerous preventive measures being taken by governments, efforts to prevent and control dengue have met little success in many dengue endemic countries. This knowledge gap creates the need to find out the view of citizen on dengue prevention and monitoring initiatives. This empirical study proposes to integrate social support theory to an existing theoretical model to test the intention of the users to use social media for healthcare, focusing dengue health information. Existing model was formulated based on two theories; technology acceptance model and theory of reasoned action. It lacks the social support perspective that is exchanged through social network sites. The hypothesized model will be tested with data to be collected from social network sites and survey of citizens from online community, who are users of social networking sites. The outcome from this study will be useful in the prevention and management of dengue outbreak. As dengue is economically devastating for individuals and the government, any initiatives to the prevention of dengue would be useful for both citizens and the government.
{"title":"Social network based model for dengue prevention","authors":"Rathimala Kannan, Menagaeswary A.P. Govindasamy, S. Jayashree, C. Malarvizhi","doi":"10.1109/SSPS.2017.8071651","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071651","url":null,"abstract":"Despite of numerous preventive measures being taken by governments, efforts to prevent and control dengue have met little success in many dengue endemic countries. This knowledge gap creates the need to find out the view of citizen on dengue prevention and monitoring initiatives. This empirical study proposes to integrate social support theory to an existing theoretical model to test the intention of the users to use social media for healthcare, focusing dengue health information. Existing model was formulated based on two theories; technology acceptance model and theory of reasoned action. It lacks the social support perspective that is exchanged through social network sites. The hypothesized model will be tested with data to be collected from social network sites and survey of citizens from online community, who are users of social networking sites. The outcome from this study will be useful in the prevention and management of dengue outbreak. As dengue is economically devastating for individuals and the government, any initiatives to the prevention of dengue would be useful for both citizens and the government.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126988770","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 : 2017-05-01DOI: 10.1109/SSPS.2017.8071612
Mane Sunita Vijay, U. Bombale
Adaptive antenna array system continuously checks and tracks coverage areas. This system fixes the direction of signal of interest, provides antenna radiation pattern maxima directing in the signal of interest and zeros or nulls in the direction of unwanted signals. To do this work smartly wide variety of algorithms are designed. High requirements in the terms of accuracy and processing power are the key features in these algorithms and many of them satisfy these criteria. In this paper MUSIC, ESPRIT, Improved MUSIC algorithms are realized, compared and analyzed for adaptive antenna array topology with the help of simulation using MATLAB.
{"title":"Realization, comparative analysis of angle of arrival computation for adaptive antenna array topology","authors":"Mane Sunita Vijay, U. Bombale","doi":"10.1109/SSPS.2017.8071612","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071612","url":null,"abstract":"Adaptive antenna array system continuously checks and tracks coverage areas. This system fixes the direction of signal of interest, provides antenna radiation pattern maxima directing in the signal of interest and zeros or nulls in the direction of unwanted signals. To do this work smartly wide variety of algorithms are designed. High requirements in the terms of accuracy and processing power are the key features in these algorithms and many of them satisfy these criteria. In this paper MUSIC, ESPRIT, Improved MUSIC algorithms are realized, compared and analyzed for adaptive antenna array topology with the help of simulation using MATLAB.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125968627","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 : 2017-05-01DOI: 10.1109/SSPS.2017.8071631
K. Anbumani, DR. R. Ranihemamalini, DR. G. Pechinathan
In this paper design of controller for a heat exchanger is proposed by using evolutionary algorithm. It is used to find the Grey wolf optimization is one the evolutionary algorithm for better controller tuning. The tuning of PID controller is done by GWO and the simulation are conducted for first order transfer function model of heat exchanger. The performance indices are measured and the measured performance indices are compared with particle swarm optimization technique. From the comparison we realized GWO gave the better optimization for the heat exchanger process.
{"title":"GWO based tuning of PID controller for a heat exchanger process","authors":"K. Anbumani, DR. R. Ranihemamalini, DR. G. Pechinathan","doi":"10.1109/SSPS.2017.8071631","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071631","url":null,"abstract":"In this paper design of controller for a heat exchanger is proposed by using evolutionary algorithm. It is used to find the Grey wolf optimization is one the evolutionary algorithm for better controller tuning. The tuning of PID controller is done by GWO and the simulation are conducted for first order transfer function model of heat exchanger. The performance indices are measured and the measured performance indices are compared with particle swarm optimization technique. From the comparison we realized GWO gave the better optimization for the heat exchanger process.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129387621","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 : 2017-05-01DOI: 10.1109/SSPS.2017.8071609
M. Jawahar, K. C. Divya, V. Thankaiselvan
Component color matching is an important aspect in leather product manufacture and this is currently being carried out manually by experienced assorters. But errors do occur due to fatigue and subjectivity associated with manual color sorting of components and the productivity is also lower. The error in component color matching results in a product being rejected although all the quality parameters are otherwise met. Hence large leather product manufacturers are looking for an objective, cost effective and faster color sorting system. Reflectance spectrophotometer, which are used in quality control in color matching are too expensive and cumbersome for online color sorting. Color sensor based color sorting offers itself as an attractive option. Automatic color sorting based on color sensors has been screened for its application in fruit sorting but only one color parameter, either redness or yellowness is often used in such systems. In case of leathers, one parameter will be inadequate as the color should be the same with acceptable tolerance levels in terms of all three parameters, lightness or darkness(L), red or green(a), yellow or blue(b) in CIE coordinate system or L, c(chroma), and h(hue) in CMC coordinate system. This makes the sorting of leather components much more difficult and technologically challenging. In the present study, a color sensor based circuit has been designed and fabricated and investigated for use in leather color sorting. K-means clustering has been employed to sort the leather sample components based on L, a, b values into 4/5 clusters. The accuracy of the system has been validated and shows closer conformity with the expert opinion.
{"title":"Sensor based color sorting system for leather shoe components","authors":"M. Jawahar, K. C. Divya, V. Thankaiselvan","doi":"10.1109/SSPS.2017.8071609","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071609","url":null,"abstract":"Component color matching is an important aspect in leather product manufacture and this is currently being carried out manually by experienced assorters. But errors do occur due to fatigue and subjectivity associated with manual color sorting of components and the productivity is also lower. The error in component color matching results in a product being rejected although all the quality parameters are otherwise met. Hence large leather product manufacturers are looking for an objective, cost effective and faster color sorting system. Reflectance spectrophotometer, which are used in quality control in color matching are too expensive and cumbersome for online color sorting. Color sensor based color sorting offers itself as an attractive option. Automatic color sorting based on color sensors has been screened for its application in fruit sorting but only one color parameter, either redness or yellowness is often used in such systems. In case of leathers, one parameter will be inadequate as the color should be the same with acceptable tolerance levels in terms of all three parameters, lightness or darkness(L), red or green(a), yellow or blue(b) in CIE coordinate system or L, c(chroma), and h(hue) in CMC coordinate system. This makes the sorting of leather components much more difficult and technologically challenging. In the present study, a color sensor based circuit has been designed and fabricated and investigated for use in leather color sorting. K-means clustering has been employed to sort the leather sample components based on L, a, b values into 4/5 clusters. The accuracy of the system has been validated and shows closer conformity with the expert opinion.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133686718","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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