2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)最新文献_第8页

PCA based feature vector for handwritten Kannada characters recognition 基于PCA的手写体卡纳达语特征向量识别

2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT) Pub Date : 2015-12-01 DOI: 10.1109/ERECT.2015.7499053

S. K. Sridharamurthy, H. Reddy

引用次数: 2

A novel health monitoring approach for pregnant women 一种新的孕妇健康监测方法

2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT) Pub Date : 2015-12-01 DOI: 10.1109/ERECT.2015.7499035

B. Lakshmi, T. Indumathi, N. Ravi

引用次数: 5

Isolated speech recognition using Fuzzy C Means technique 使用模糊C均值技术的孤立语音识别

2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT) Pub Date : 2015-12-01 DOI: 10.1109/ERECT.2015.7499040

H. Vani, M. Anusuya

{"title":"Isolated speech recognition using Fuzzy C Means technique","authors":"H. Vani, M. Anusuya","doi":"10.1109/ERECT.2015.7499040","DOIUrl":"https://doi.org/10.1109/ERECT.2015.7499040","url":null,"abstract":"Automatic speech recognition is one of the challenging area in the field of speech signal processing. Automatic speech recognition technology converts speech signal into text. This paper presents the implementation of isolated kannada word recognizer using Vector Quantization (VQ) and Fuzzy-C Means (FCM) techniques. The paper compares and contrasts the recognition accuracies of FCM and k-means techniques. It also highlights the importance of the fuzziness parameter `m' in the FCM technique for a range of `m' (fuzzifier) values between 1.5 to 2. The simulation analysis shows the performance of the FCM is dependent on Fuzzy parameter (`m'). It is observed that the recognition accuracies are better for FCM than VQ for clean and noisy speech signals. The results are tested and evaluated for both speaker dependent and independent speech signals. It is clear from the simulation that the recognition accuracies are better for the values of `m' between 1.8 to 2.0. It also highlights the mathematical reason for the better accuracy of speech recognition process. Recognition accuracy obtained is 90 to 95% for clean and speaker dependent signals. 20 to 25% of recognition accuracy is obtained for noisy and speaker independent signals.","PeriodicalId":140556,"journal":{"name":"2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131835543","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

Fault coverage analysis using fault model and functional testing for DPM reduction 用故障模型和功能测试进行故障覆盖分析，降低DPM

2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT) Pub Date : 2015-12-01 DOI: 10.1109/ERECT.2015.7498991

K. R. Thilak, S. Gayathri

{"title":"Fault coverage analysis using fault model and functional testing for DPM reduction","authors":"K. R. Thilak, S. Gayathri","doi":"10.1109/ERECT.2015.7498991","DOIUrl":"https://doi.org/10.1109/ERECT.2015.7498991","url":null,"abstract":"In today's fast growing and increasing complex world of VLSI circuits, test quality has significant effect on the quality of the product. A malfunctioning circuit is a result of design flaw, manufacturing defects or both. Testing is used as a measure to estimate the quality of design. High quality testing minimizes defect-per-million (DPM) and thus can significantly reduce manufacturing costs and increase product yield. Automatic test pattern generator (ATPG) is one of the structural methods used to get good coverage. To estimate the overall outgoing DPM(Defective Parts per Million) in High Volume Manufacturing (HVM) functional test cases are written manually in order to target the areas which are not detected by structural testing methods like ATPG (Automatic Test Pattern Generator). When the test vectors are used for manufacturing testing, their quality for detecting manufacturing defects needs to be evaluated. Fault simulation is known to be a reliable means for determining the single stuck-at fault coverage provided by a set of test vectors. The degree to which a test vector suite detects the faults is known as the fault coverage of the suite. This procedure referred as fault grading.","PeriodicalId":140556,"journal":{"name":"2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125027145","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: 3

An efficient approach for classification of palmprint images using heart line features 一种基于心线特征的掌纹图像分类方法

2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT) Pub Date : 2015-12-01 DOI: 10.1109/ERECT.2015.7499036

M. Anitha, K. A. R. Rao

{"title":"An efficient approach for classification of palmprint images using heart line features","authors":"M. Anitha, K. A. R. Rao","doi":"10.1109/ERECT.2015.7499036","DOIUrl":"https://doi.org/10.1109/ERECT.2015.7499036","url":null,"abstract":"Palm print is one of the important hand related biometrics characteristics with high user acceptance. A new classification approach using heart line feature of palm print is proposed in this paper. The hand image captured from digital camera is preprocessed to find palm print Region of interest (ROI). Gabor filters are applied on palm print ROI and line detection operation is proposed to extract heart line features. Then the palm print images are classified based on the shape feature of the heart line. Proposed classification approach categories palm print images into four categories. Testing of the proposed approach on the database collected at our institute shows that the identification accuracy of 94% is obtained. Palm print features are extracted by applying local binary descriptor on palm print ROI and matched with euclidean distance in the most potential palm print category and if necessary matching process continues orderly to less potential categories. Identification experiment results show that the proposed approach can reduce the number of templates considered for matching from 100% as in the case of conventional approaches to a range of 30% to 60% while maintaining the same accuracy as the that of conventional approaches.","PeriodicalId":140556,"journal":{"name":"2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129452419","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

Ubiquitous greenhouse monitoring system 无所不在的温室监控系统

2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT) Pub Date : 2015-12-01 DOI: 10.1109/ERECT.2015.7499037

Uma Naik, Prakash. H. Patil, C. Borse, Snehal Gaikwad

引用次数: 2

Development of mathematical morphology filter for medical image impulse noise removal 用于医学图像脉冲噪声去除的数学形态学滤波器的研制

2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT) Pub Date : 2015-12-01 DOI: 10.1109/ERECT.2015.7499033

C. Anjanappa, H. Sheshadri

{"title":"Development of mathematical morphology filter for medical image impulse noise removal","authors":"C. Anjanappa, H. Sheshadri","doi":"10.1109/ERECT.2015.7499033","DOIUrl":"https://doi.org/10.1109/ERECT.2015.7499033","url":null,"abstract":"Post-acquisition denoising of medical images is of importance for clinical diagnosis and computerized analysis, such as tissue classification and segmentation. During the image generation, imaging devices are quite often interfered by various noise sources. Impulse noise which causes the medical images to remove important image details such as edges, contours and texture. In this paper, a new filtering method is proposed to remove impulse noise on degraded medical images. The proposed filter is integrated with noise detector and filtering approach. An impulse noise detector using mathematical residues is proposed to identify pixels that are corrupted by impulse noise, and the image is recovered using specialized open-close algorithm that is only applied to the noisy pixels. Black and white blocks that degrade the quality of the image will be recovered by a block smart erase method. The proposed method was tested on simulated medical images from a brain web database and clinical medical images with different levels of noise. The results show that the morphology filter produces better denoising results in terms of qualitative and quantitative measures compared with other denoising methods, compared with several existing noise filtering models demonstrated that not only the proposed filter is effective for noise removal but also for image detail preservation and clinical practice.","PeriodicalId":140556,"journal":{"name":"2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115037684","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

Median values of gray levels for detection of lung contours 肺轮廓检测的灰度中值

2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT) Pub Date : 2015-12-01 DOI: 10.1109/ERECT.2015.7499031

Prashant A. Athavale, P. Puttaswamy

引用次数: 1

MEMS based Optical Image Stabilization 基于MEMS的光学稳像

2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT) Pub Date : 2015-03-26 DOI: 10.1109/ERECT.2015.7498996

S. B. Rudraswamy, Anushree Bannadabhavi, A. Kumar, J. Bapu, B. SwathiPai

{"title":"MEMS based Optical Image Stabilization","authors":"S. B. Rudraswamy, Anushree Bannadabhavi, A. Kumar, J. Bapu, B. SwathiPai","doi":"10.1109/ERECT.2015.7498996","DOIUrl":"https://doi.org/10.1109/ERECT.2015.7498996","url":null,"abstract":"The thought of taking a perfect image gives way to a plethora of ideas which work towards improving the image quality using Image Stabilization. Currently, the methods used for Optical Image Stabilization(OIS) use Motion sensors and detect vibration and correct for any jitter using VCM (Voice coil motors).The concept of the proposed work is to simulate a MEMS gyroscope and monitor the system to detect change in rotation (or any vibrations). These vibrations in turn are used to trigger a voltage pulse which is conditioned and fed into structures called comb drives which are micro structures inturn actuate on application of optimal voltages. This comb drive arrangement is made to move a lens or a sensor (depending on which type of OIS is suitable for the application) and adjust the lens such that, even if the camera shakes, the image obtained is not blurred because the setup inside the camera which captures the image also shakes, but in the opposite direction.Hence, a clear image can be obtained in a novel method using MEMS gyroscope coupled with a MEMS comb-drive actuator set-up.","PeriodicalId":140556,"journal":{"name":"2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)","volume":"423 2-3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116565028","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

Analysis of various full-adder circuits in cadence 各种全加法器电路的节奏分析

2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT) Pub Date : 2015-01-12 DOI: 10.1109/ERECT.2015.7498994

K. Manjunath, P. S. Abdul Lateef Haroon, A. Pagi, J. Ulaganathan

引用次数: 14