A. Deshmukh, Ankita R. Jain, A. Joshi, T. Tirodkar, K. P. Ray
{"title":"Broadband Proximity Fed Modified Circular Microstrip Antenna","authors":"A. Deshmukh, Ankita R. Jain, A. Joshi, T. Tirodkar, K. P. Ray","doi":"10.1109/ICACC.2013.86","DOIUrl":"https://doi.org/10.1109/ICACC.2013.86","url":null,"abstract":"A new 2700 sectoral micro strip antenna derived from circular micro strip antenna is proposed. Also its variations like, 3000, 3200 and 3400 sectoral micro strip antennas are proposed. In the proposed sectoral patch a new mode below the fundamental mode resonance frequency of the equivalent circular patch is introduced. The higher order mode frequencies of sectoral patch are higher than the frequencies of equivalent circular patch. The analysis for variation in bandwidth due to the coupling between the first two modes of the sectoral patch for different sectoral angle is presented. The optimum bandwidth of 500 MHz (>50%) is realized for 3200 sectoral patch. The proposed antenna yields broadside radiation pattern with gain of more than 7 dBi over the operating bandwidth.","PeriodicalId":109537,"journal":{"name":"2013 Third International Conference on Advances in Computing and Communications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129332943","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}
{"title":"A Wavelet Based MFCC Approach for the Phoneme Independent Pathological Voice Detection","authors":"C. Vikram, K. Umarani","doi":"10.1109/ICACC.2013.37","DOIUrl":"https://doi.org/10.1109/ICACC.2013.37","url":null,"abstract":"This paper proposes a new approach for the phoneme independent pathological voice detection. The phonemes /a/, /i/, /u/ from normal and subjects suffering from voice disorders are recorded. The system uses wavelet based Mel Frequency Cepstral Coefficients (MFCCs) as features, which are given to Gaussian Mixture Model-Universal Background Model (GMM-UBM) classifier. The MFCCs are computed for each wavelet sub band and GMM-UBM score is obtained. The decision is taken by combining GMM-UBM scores of individual sub bands. When the 18MFCC features are given to GMM-UBM classifier it can be seen that the accuracy is 85.18%. But when the wavelet based 18MFCCs are given, the accuracy is 93.32%, which indicates that wavelet based MFCCs improves the classification accuracy.","PeriodicalId":109537,"journal":{"name":"2013 Third International Conference on Advances in Computing and Communications","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129673826","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}
{"title":"Comparison of a 30nm Tunnel Field Effect Transistor and CMOS Inverter Characteristics","authors":"M. Aswathy, N. M. Biju, R. Komaragiri","doi":"10.1109/ICACC.2013.36","DOIUrl":"https://doi.org/10.1109/ICACC.2013.36","url":null,"abstract":"Tunnel field-effect transistor (TFET) is a promising candidate for the succession of the MOSFET at deca-nanometer dimensions. Tunneling currents are no longer considered as unwanted parasitics in these devices. In this work, the device architecture and performance of both n-type and p-type TFETs with a channel length of 30nm are simulated and studied. Mixed mode simulation of TFET inverter and a comparison with CMOS inverter characteristics show that TFET inverter doesn't need level shifting at the output and can succeed CMOS digital applications.","PeriodicalId":109537,"journal":{"name":"2013 Third International Conference on Advances in Computing and Communications","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131313262","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}
{"title":"Finger Vein Identification Based on Minutiae Feature Extraction with Spurious Minutiae Removal","authors":"P. Prabhakar, Tony Thomas","doi":"10.1109/ICACC.2013.45","DOIUrl":"https://doi.org/10.1109/ICACC.2013.45","url":null,"abstract":"Finger vein technology is the newest biometric technology which utilizes the vein pattern which is hidden under the human finger for identification. As these patterns are hidden under the skin surface, they provide a huge privacy consideration, and are hence extremely difficult to forge. An approach to perform finger vein identification based on extracting minutiae features and the spurious minutiae removal is presented in this work. Minutiae feature extraction includes the extraction of end points and bifurcation points from the skeletal patterns of vein and the removal of spurious or false minutiae, makes the identification more accurate.","PeriodicalId":109537,"journal":{"name":"2013 Third International Conference on Advances in Computing and Communications","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123740833","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}
{"title":"Stress Management Using Artificial Intelligence","authors":"V. J. Madhuri, M. R. Mohan, R. Kaavya","doi":"10.1109/ICACC.2013.97","DOIUrl":"https://doi.org/10.1109/ICACC.2013.97","url":null,"abstract":"The problem of stress is recognized as one of the major factors leading to a spectrum of health problems. Today the diagnosis and the decision is largely dependent on how experienced the clinician is interpreting the measurements. Computer aided artificial intelligence systems for diagnosis of stress would enable a more objective and consistent diagnosis and decisions. The stress-detection system is proposed based on physiological signals. Parameters like galvanic skin response (GSR), heart rate (HR), Body temperature, Muscle tension, Blood pressure are proposed to provide information on the state of mind of an individual, due to their non-intrusiveness and non invasiveness. The metamorphosis provided in this system is to improve the accuracy level in diagnosis. The response from the sensors reflects reaction of individuals and their body to stressful events. Some individuals may react differently to stressful events due to body condition, age, gender, experience and so on. Uncertainties and complexities exists that need to be dealt with while defining stress. Fuzzy Logic can overcome this. This result improves former approaches in literature and well-known machine learning techniques like SVM. k NN, GMM and Linear Discriminant analysis. Things are now no longer just black and white, but all the shades of grey in between as well. Half-truths are allowed and indeed encouraged. Our system combines the human-like reasoning style, learning and connectionist structure of the fuzzy system. The fluctuating stress parameters are processed using fuzzy logic. The strength of fuzzy systems involves two contradictory requirements interpretability versus accuracy. The innovative use of Fuzzy system in our project provides an optimum solution to abate the stress level of a person after performing multifarious analysis efficiently.","PeriodicalId":109537,"journal":{"name":"2013 Third International Conference on Advances in Computing and Communications","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121862923","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}
{"title":"An Alternative Selection Based Detection Method for Spectrum Sensing for Cognitive Radio","authors":"V. C. A. Rahim, H. S. Mruthyunjaya, K. V. Kedalya","doi":"10.1109/ICACC.2013.23","DOIUrl":"https://doi.org/10.1109/ICACC.2013.23","url":null,"abstract":"For a cognitive radio, its primary task is to find unutilized portion of the spectrum more precisely for successful implementation of dynamic spectrum sensing. In this paper, first a comparison of two spectrum sensing techniques namely energy detection and covariance absolute value detection method is done for various input data. A new spectrum sensing method named as an alternative selection based detection method which comprises of both energy detection and covariance absolute value detection method to improve the detection probability is described. The simulation results prove that the performance of an alternative selection based detection method is better compared to energy detection and covariance absolute value detection method alone.","PeriodicalId":109537,"journal":{"name":"2013 Third International Conference on Advances in Computing and Communications","volume":"5 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120908452","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}
{"title":"Automatic Grading of Severity of Diabetic Macular Edema Using Color Fundus Images","authors":"K. S. Sreejini, V. Govindan","doi":"10.1109/ICACC.2013.42","DOIUrl":"https://doi.org/10.1109/ICACC.2013.42","url":null,"abstract":"Diabetic macular edema (DME) is the main reason for vision loss in diabetic patients and results in blurring in the vision and leads to vision loss if left untreated. In this work, we have proposed an automatic unsupervised method to classify severity of diabetic macular edema in color fundus images. Particle Swarm Optimization (PSO) algorithm is made use of for effective segmentation of exudates. Optic disc and fovea are detected employing mathematical morphology. Region of macula is marked by Early Treatment Diabetic Retinopathy Studies (ETDRS) grading scale. Severity of disease such as normal, stage 1 or stage 2 of diabetic macular edema is detected by the location of exudates. The proposed method is evaluated using 100 images of public ally available MESSIDOR database and performance figures of 82.5% for sensitivity, 100% for specificity and 93% for accuracy are obtained.","PeriodicalId":109537,"journal":{"name":"2013 Third International Conference on Advances in Computing and Communications","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116407075","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}
{"title":"A Novel Algorithm for Image Compression and Pattern Matching","authors":"P. Shamna, C. Tripti, P. Augustine","doi":"10.1109/ICACC.2013.52","DOIUrl":"https://doi.org/10.1109/ICACC.2013.52","url":null,"abstract":"The development in communication and use of multimedia applications has created a remarkable demand for robust ways to store and transmit large databases of images. The current communication system demands compression techniques to store and transmit data in an apposite manner. Compression schemes for images can be used to manage data of high sensitivity with less computational complexity. In this paper we suggest a novel algorithm for image compression and pattern matching called Difference Component Analysis (DCA). DCA extract the most relevant image feature components that identify the image. The DCA is based on the premise that matching images have minimal difference components. The experiment on DCA is done using more than 1000 human face images. The results show that the image can be compressed to a single decimal value and uses less computational steps. The concept can be applied for pattern recognition encryption techniques.","PeriodicalId":109537,"journal":{"name":"2013 Third International Conference on Advances in Computing and Communications","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122352648","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}
{"title":"Energy Efficient and Reputation Based CDS Model for Mobile Ad Hoc Networks","authors":"Sangheethaa Sukumaran, Surya Rani Sunny, Lakshmi Ramachandran","doi":"10.1109/ICACC.2013.22","DOIUrl":"https://doi.org/10.1109/ICACC.2013.22","url":null,"abstract":"Mobile ad hoc networks (MANETs) face a number of challenges, in particular due to its energy consumption and dynamic network topology. A self organizing framework can overcome the problem of changing topology and dynamic behavior of mobile nodes. Such a framework can be created by using connected dominating set (CDS). But the choice of misbehaving node as CDS will affect the network performance. A misbehaving node may disturb the network by denying packet forwarding. In this paper we propose a heuristic for selecting CDS nodes in terms of energy and reputation factor. It identifies only well behaving and good quality nodes as dominant nodes for the construction of CDS.","PeriodicalId":109537,"journal":{"name":"2013 Third International Conference on Advances in Computing and Communications","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122371927","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}
{"title":"Freespace Optical Communication Using Aperture Averaging and Spatial Diversity in Log Normal Channel","authors":"M. Mohan, B. Shamla","doi":"10.1109/ICACC.2013.25","DOIUrl":"https://doi.org/10.1109/ICACC.2013.25","url":null,"abstract":"Free Space Optical communication links transmit information by laser light through an atmospheric channel. In this paper an attempt has been made to investigate the effect of atmospheric turbulence on performance of free space optical communication system. Here we have considered aperture averaging and spatial diversity techniques to improve the system performance in log-normal channel under OOK modulation. Performance evaluation is made in terms of average bit error rate.","PeriodicalId":109537,"journal":{"name":"2013 Third International Conference on Advances in Computing and Communications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128835640","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}