2014 International Conference on Communication and Signal Processing最新文献_第5页

Estimation of voltage signal analysis using Extended Kalman Filter 基于扩展卡尔曼滤波的电压信号估计分析

2014 International Conference on Communication and Signal Processing Pub Date : 2014-04-03 DOI: 10.1109/ICCSP.2014.6950131

G.Muthupandi, G.Sivakumar, M.Deepak Pious, M.Naveen Kumar

引用次数: 2

Probabilistic method for energy efficiency routing with node compromised resistance 考虑节点折衷电阻的能效路由的概率方法

2014 International Conference on Communication and Signal Processing Pub Date : 2014-04-03 DOI: 10.1109/ICCSP.2014.6949950

D. Singh, Shubhanjali Sharma, V. Jain, Jyoti Gajrani

{"title":"Probabilistic method for energy efficiency routing with node compromised resistance","authors":"D. Singh, Shubhanjali Sharma, V. Jain, Jyoti Gajrani","doi":"10.1109/ICCSP.2014.6949950","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6949950","url":null,"abstract":"A wireless sensor network is basically a data communication system that consists of from several to thousands of tiny wireless sensor nodes. These battery powered sensor nodes work with each other to accomplish data transmission. Since the lifetime of wireless sensor network depends on such battery powered sensor nodes, hop counts and battery power have been taken as metrics in routing protocols. In wireless sensor network, energy efficiency is most critical issue that should be considered while transmitting information or data packet from source node to sink node. Some techniques can be used by attacker communities through getting the knowledge about efficiency and trust relationship among the nodes and then insert some unwanted packets in the path from source to sink. DRP, MTRP and EENC are some techniques that can be used to provide energy efficient transmission of data packets. EENC is energy efficiency routing with node compromised resistance. This technique is based on the ant colony optimization technique. Three parameters in this technique, energy, trust and hop count are considered here to find out the compromised node among the nodes and remove the path from source to sink containing that node.","PeriodicalId":149965,"journal":{"name":"2014 International Conference on Communication and Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132726179","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: 1

Detection of Leukemia in microscopic images using image processing 利用图像处理技术检测显微图像中的白血病

2014 International Conference on Communication and Signal Processing Pub Date : 2014-04-03 DOI: 10.1109/ICCSP.2014.6949840

C. Raje, J. Rangole

{"title":"Detection of Leukemia in microscopic images using image processing","authors":"C. Raje, J. Rangole","doi":"10.1109/ICCSP.2014.6949840","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6949840","url":null,"abstract":"Leukemia occurs when lot of abnormal white blood cells produced by the bone marrow. Hematologist makes use of microscopic study of human blood, which leads to need of methods, including microscopic color imaging, segmentation, classification and clustering that can allow identification of patients suffering from Leukemia. The microscopic images will be inspected visually by hematologists and the process is time consuming and tiring. The automatic image processing system is urgently needed and can overcome related constraints in visual inspection. The proposed system will be on microscopic images to detect Leukemia. The early and fast identification of Leukemia greatly aids in providing the appropriate treatment. Initial segmentation is done using Statistical parameters such as mean, standard deviation which segregates white blood cells from other blood components i.e. erythrocytes and platelets. Geometrical features such as area, perimeter of the white blood cell nucleusis investigated for diagnostic prediction of Leukemia. The proposed method is successfully applied to a large number of images, showing promising results for varying image quality. Different image processing algorithms such as Image Enhancement, Thresholding, Mathematical morphology and Labelling are implemented using LabVIEW and MATLAB.","PeriodicalId":149965,"journal":{"name":"2014 International Conference on Communication and Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134488193","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: 36

QoS performance analysis of routing protocols in Vehicular Ad-hoc Networks 车载自组织网络中路由协议的QoS性能分析

2014 International Conference on Communication and Signal Processing Pub Date : 2014-04-03 DOI: 10.1109/ICCSP.2014.6950051

D. Nagendar Naik, T. Hussain, S. Limbu, G. Patowary

引用次数: 1

Implementation of Sinusoidal Pulse Width Modulation for Matrix Converter using FPGA 矩阵变换器正弦脉宽调制的FPGA实现

2014 International Conference on Communication and Signal Processing Pub Date : 2014-04-03 DOI: 10.1109/ICCSP.2014.6949971

K. Vijayakumar, R. A. Kumar, A. Govindasamy, S. Kannan

引用次数: 1

An improved method for emotion detection using weighted Gabor filter and radial basis Function kernel 一种基于加权Gabor滤波器和径向基函数核的情绪检测改进方法

2014 International Conference on Communication and Signal Processing Pub Date : 2014-04-03 DOI: 10.1109/ICCSP.2014.6950031

P. Sisodia, A. Verma, K. Juneja, S. Goel

引用次数: 1

Identification and feature extraction of moving vehicles in LabVIEW LabVIEW中移动车辆的识别与特征提取

2014 International Conference on Communication and Signal Processing Pub Date : 2014-04-03 DOI: 10.1109/ICCSP.2014.6950172

Suresh Babu Changalasetty, Ahmed S. Badawy, Wade Ghribi, Lalitha Saroja Thota

{"title":"Identification and feature extraction of moving vehicles in LabVIEW","authors":"Suresh Babu Changalasetty, Ahmed S. Badawy, Wade Ghribi, Lalitha Saroja Thota","doi":"10.1109/ICCSP.2014.6950172","DOIUrl":"https://doi.org/10.1109/ICCSP.2014.6950172","url":null,"abstract":"In recent years, video monitoring and surveillance systems have been widely used in traffic management. The image sequences for traffic scenes are recorded by a stationary camera. The video clip is sent to LabVIEW program to convert into image frames. NI LabVIEW vision assistant module is used to detect the moving vehicle. The method is based on the establishment of correspondences between regions and vehicles, as the vehicles move through the image sequence. Background subtraction is used which improves the adaptive background mixture model and makes the system learn faster and more accurately, as well as adapt effectively to changing environments. The resulting system robustly identifies vehicles, rejecting background and tracks vehicles over a specific period of time. Once the (object) vehicle is tracked, the attributes of the vehicle like width, length, perimeter, area etc are extracted by image process feature extraction techniques. In proposed system we use LabVIEW and Vision assistant module for image processing and feature extraction. The project will benefit to reduce cost of traffic monitoring system and complete automation of traffic monitoring system.","PeriodicalId":149965,"journal":{"name":"2014 International Conference on Communication and Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115035971","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: 13

Feasibility of Stockwell transform for flaw pattern recognition in ultra sonic signals Stockwell变换在超声信号缺陷模式识别中的可行性

2014 International Conference on Communication and Signal Processing Pub Date : 2014-04-03 DOI: 10.1109/ICCSP.2014.6949987

K. Sudheera, N. Nandhitha, N. Ganesh, P. Nanekar, B. Venkatraman, B. Sheela Rani

引用次数: 0

Contextual feature discovery and image ranking for image object retrieval and Tag refinement 上下文特征发现和图像排序，用于图像对象检索和标记细化

2014 International Conference on Communication and Signal Processing Pub Date : 2014-04-03 DOI: 10.1109/ICCSP.2014.6949826

M. Joseph, M. S. Godwin Premi

引用次数: 6

Design and implementation of single order LMS based adaptive system identification on altera based cyclone II FPGA 基于单阶LMS的自适应系统辨识在altera cyclone II FPGA上的设计与实现

2014 International Conference on Communication and Signal Processing Pub Date : 2014-04-03 DOI: 10.1109/ICCSP.2014.6950119

P. Dash, S. S. Pujari, Yougajyoty Sahoo

引用次数: 5