2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)最新文献_第5页

Image defogging using enhancement techniques 图像去雾使用增强技术

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944087

N. Sangeetha, K. Anusudha

引用次数: 8

Survey of pre-processing techniques for mining big data 挖掘大数据的预处理技术综述

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944072

Jayaram Hariharakrishnan, S. Mohanavalli, Srividya, K. Kumar

{"title":"Survey of pre-processing techniques for mining big data","authors":"Jayaram Hariharakrishnan, S. Mohanavalli, Srividya, K. Kumar","doi":"10.1109/ICCCSP.2017.7944072","DOIUrl":"https://doi.org/10.1109/ICCCSP.2017.7944072","url":null,"abstract":"Big Data analytics has become important as many administrations, organizations, and companies both public and private have been collecting and analyzing huge amounts of domain-specific information, which can contain useful information about problems such as national intelligence, cyber security, fraud detection, marketing, and medical informatics. With more and more data being generated the ever dynamic size, scale, diversity, and complexity has made the requirement for newer architectures, techniques, algorithms, and analytics to manage it and extract value from the data collected. The progress and innovation is no longer hindered by the ability to collect data but, by the ability to manage, analyze, summarize, visualize, and discover knowledge from the collected data in a timely manner and in a scalable fashion as well as a credible clean and noise free data sets. This paper mainly makes an attempt to understand the different problems to solve in the processes of data preprocessing, to also familiarize with the problems related to cleaning data, know the problems to apply data cleaning and noise removal techniques for big data analytics and to mitigate the imperfect data, together with some techniques to solve them and also to identify the shortcomings in the existing methods of the reduction techniques in the necessary respective areas of application and also to identify the current big data preprocessing proposal's effectiveness to various data sets.","PeriodicalId":269595,"journal":{"name":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114505548","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: 24

A compact full mode SIW UWB Band pass filter using novel input/output transmission-line-stnicture 一种紧凑的全模式SIW超宽带带通滤波器，采用新颖的输入/输出传输线结构

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944064

H. Habiba, T. Prashanth, S. Keerthipriya, L. N. A. Sayeed, R. Sandhya

引用次数: 1

A survey on extractive text summarization 摘要文本摘要研究综述

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944061

N. Moratanch, S. Chitrakala

引用次数: 149

Image retrieval based on chrominance feature of the HMMD color space 基于HMMD色彩空间色度特征的图像检索

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944073

L. Pavithra, T. Sharmila

引用次数: 0

Facial recognition using histogram of gradients and support vector machines 基于直方图梯度和支持向量机的人脸识别

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944082

J. Julina, T. Sharmila

引用次数: 23

Performance analysis of Zigbee WDSN using clustering protocol and STR algorithm 基于聚类协议和STR算法的Zigbee WDSN性能分析

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944085

R. M. Brigitta, P. Samundiswary

{"title":"Performance analysis of Zigbee WDSN using clustering protocol and STR algorithm","authors":"R. M. Brigitta, P. Samundiswary","doi":"10.1109/ICCCSP.2017.7944085","DOIUrl":"https://doi.org/10.1109/ICCCSP.2017.7944085","url":null,"abstract":"In recent years, wireless networking plays a prominent role because of its easy installation and flexibility. Among the various wireless domains, Zigbee based Wireless Dynamic Sensor Networks (WDSN) pose a good support to the dynamics that arise when the nodes are induced with mobility. In the Zigbee based Wireless Dynamic Sensor Network (WDSN), major consideration is on utilizing the energy efficiently among the mobile nodes. Various techniques are used to attain energy efficiency in Zigbee WDSN. Among them, clustering the nodes is one of the best methods, since they aim at reducing the energy dissipation and increasing the life span of the network. Hence, in this paper, the performance of Zigbee WDSN using clustering scheme is done by considering the nodes with mobility and compared with performance of Zigbee WDSN using non clustering technique. The proposed work is summarized as follows: the network is deployed as clusters and the remaining energy of the node is determined by utilizing clustering protocol. In each cluster, the clustering protocol opts for the node with the maximum remaining energy as the head of that cluster. Then STR algorithm is utilized to route the sensed data from the member nodes to the cluster head. Hence, the clustering technique and STR, route the information through the shortest path paving the way for enhanced average residual energy and Packet Delivery Ratio (PDR). The simulations are done by using ns2 and performance metrics such as average residual energy and PDR are computed and analyzed for non clustered and clustered method.","PeriodicalId":269595,"journal":{"name":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114896693","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

EM algorithm based intervertebral disc segmentation on MR images 基于EM算法的MR图像椎间盘分割

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944069

A. Beulah, T. Sharmila

{"title":"EM algorithm based intervertebral disc segmentation on MR images","authors":"A. Beulah, T. Sharmila","doi":"10.1109/ICCCSP.2017.7944069","DOIUrl":"https://doi.org/10.1109/ICCCSP.2017.7944069","url":null,"abstract":"Image segmentation is well known in partitioning a digital image into several segments. Recent days lower back pain in human being increases and so the lumber spine pathology detection becomes a predominant research area in Computer Aided Diagnosis (CAD) system. In the process of lumbar spine pathology detection, the segmentation of the Intervertebral Disc (IVD) is the major step as it identifies the IVDs or the boundaries of the IVDs either normal or abnormal in images. When the axial or the sagittal View of lumbar spine MR image is given as input, this proposed work segments the IVD in both the axial and sagittal views. The segmentation of IVD is a four stage process. First, Expectation-Maximization (EM) segmentation is performed on the MR Image. EM segmentation yields an advantage over K-means with the case of the size of clustering. The second stage is to carry out the morphological operators and third, apply edge detection method and obtain the edges. The final stage is to remove unwanted objects from the obtained output image. If this proposed segmentation is utilized as part of the CAD, the experts will be benefited for localizing the IVD and to diagnose the IVD disease.","PeriodicalId":269595,"journal":{"name":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128734606","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: 4

Design patterns for multiplayer card games 多人纸牌游戏的设计模式

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944107

D. V. Ranganathan, R. Vishal, V. Krishnamurthy, Prashant Mahesh, Roopeshwar Devarajan

引用次数: 1

Edge based eye-blink detection for computer vision syndrome 基于边缘的计算机视觉综合征眨眼检测

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944084

J. Jennifer, T. Sharmila

{"title":"Edge based eye-blink detection for computer vision syndrome","authors":"J. Jennifer, T. Sharmila","doi":"10.1109/ICCCSP.2017.7944084","DOIUrl":"https://doi.org/10.1109/ICCCSP.2017.7944084","url":null,"abstract":"Living in an information age the whole earth is a small globe in our hands with the advancements of computers, smartphones etc. The usage of computers in our day-to-day activities has increased enormously leading to both positive and negative effects in our lives. The negative effects are related to health problems such as Computer Vision Syndrome (CVS) etc. Prolonged use of computers would lead to a significant reduction of spontaneous eye blink rate due to the high visual demand of the screen and concentration on the work. The proposed system develops a prototype using blink as a solution to prevent CVS. The first part of the work captures video frames using web-camera mounted on the computer or laptop. These frames are processed dynamically by cropping only the eyes. The algorithms performed on the eye-frames are direct pixel count, gradient. Canny edge and Laplacian of Gaussian (LoG). These determine the eye-status based on the threshold value and the proposed idea, the difference between upper and lower eye frames. Various experiments are done and their algorithms are compared and concluded that the proposed algorithm yields 99.95% accuracy.","PeriodicalId":269595,"journal":{"name":"2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123955518","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: 8