2015 Fifth International Conference on Advances in Computing and Communications (ICACC)最新文献_第10页

Specific Absorption Rate Reduced (SAR) Mobile Phone Antenna Designs 特定吸收率降低(SAR)手机天线设计

2015 Fifth International Conference on Advances in Computing and Communications (ICACC) Pub Date : 2015-09-01 DOI: 10.1109/ICACC.2015.89

Anu Tharakan, J. Deepthi, S. Divya, J. Gopika, D. D. Krishna

引用次数: 3

Pectoral Muscle Boundary Detection in Mammograms Using Homogeneous Contours 均匀轮廓在乳房x线照片中的胸肌边界检测

2015 Fifth International Conference on Advances in Computing and Communications (ICACC) Pub Date : 2015-09-01 DOI: 10.1109/ICACC.2015.49

R. Lakshmanan, Shiji T. P, V. Thomas, S. M. Jacob, Thara P

{"title":"Pectoral Muscle Boundary Detection in Mammograms Using Homogeneous Contours","authors":"R. Lakshmanan, Shiji T. P, V. Thomas, S. M. Jacob, Thara P","doi":"10.1109/ICACC.2015.49","DOIUrl":"https://doi.org/10.1109/ICACC.2015.49","url":null,"abstract":"Breast occupies over Pectoral muscle (PM) which is a predominant portion in Medio-Lateral Oblique (MLO) view of mammogram. The similarity in density among PM area and the breast region may generate false positive results which can adversely affect early breast cancer detection. Noise, wedges, opaque markers etc along with labels are unnecessary in mammographic images. The suspicious segments of PM boundary are obtained by extracting contours of homogeneous regions. The geometrical properties of contour segments are analyzed for extracting PM boundary component. An intensity similarity approach extends the detected major PM boundary segment to the two boundaries of mammogram. Experimental analyses were carried out on mammograms obtained from Mammographic Image Analysis database. The proposed methods yields low values for average false positive, average false negative and Hausdorff distance. From the performance analysis of the proposed algorithm, 97% of images have an average error less than 4 mm. Low values of performance measures for the proposed method shows that the extracted PM boundary is close to radiologist drawn PM border.","PeriodicalId":368544,"journal":{"name":"2015 Fifth International Conference on Advances in Computing and Communications (ICACC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134421686","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: 5

Associative Memory Model for Distorted On-Line Devanagari Character Recognition 联机变形德文汉字识别的联想记忆模型

2015 Fifth International Conference on Advances in Computing and Communications (ICACC) Pub Date : 2015-09-01 DOI: 10.1109/ICACC.2015.42

Gaurav Pagare, K. Verma

引用次数: 5

The K-means Clustering Based Fuzzy Edge Detection Technique on MRI Images 基于k均值聚类的MRI图像模糊边缘检测技术

2015 Fifth International Conference on Advances in Computing and Communications (ICACC) Pub Date : 2015-09-01 DOI: 10.1109/ICACC.2015.103

N. Mathur, P. Dadheech, M. Gupta

{"title":"The K-means Clustering Based Fuzzy Edge Detection Technique on MRI Images","authors":"N. Mathur, P. Dadheech, M. Gupta","doi":"10.1109/ICACC.2015.103","DOIUrl":"https://doi.org/10.1109/ICACC.2015.103","url":null,"abstract":"Edge detection plays a vital role in medical imaging applications such as MRI segmentation. Magnetic resonance imaging (MRI) is an imaging technique used in medical science to diagnose tumors of the brain by producing high quality images of the inside of the human body, by using various edge detectors. There exists many edge detector but still, need for research is felt in order to enhance their performance. A very common problem faced by most of the edge detector is the choice of threshold values. This paper presents fuzzy based edge detection using K-means clustering method. The K-means clustering approach is used in generating various groups which are then input to the mamdani fuzzy inference system. This whole process results in the generation of the threshold parameter which is then fed to the classical sobel edge detector which helps in enhancing its edge detection capability using the fuzzy logic. This whole setup is applied on the MR images of the human brain. The retrieved results represents that fuzzy based k-means clustering enhances the performance of classical sobel edge detector and along with retaining much relevant information about the tumors of the brain.","PeriodicalId":368544,"journal":{"name":"2015 Fifth International Conference on Advances in Computing and Communications (ICACC)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117052232","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

Automatic Detection and Classification of Liver Lesions from CT-scan Images 基于ct扫描图像的肝脏病变自动检测与分类

2015 Fifth International Conference on Advances in Computing and Communications (ICACC) Pub Date : 2015-09-01 DOI: 10.1109/ICACC.2015.46

Ria Benny, T. Thomas

引用次数: 3

Identification of Ethane-Ethylene Distillation Column Using Neural Network and ANFIS 基于神经网络和ANFIS的乙烷-乙烯精馏塔辨识

2015 Fifth International Conference on Advances in Computing and Communications (ICACC) Pub Date : 2015-09-01 DOI: 10.1109/ICACC.2015.17

E. Abdul Jaleel, K. Aparna

{"title":"Identification of Ethane-Ethylene Distillation Column Using Neural Network and ANFIS","authors":"E. Abdul Jaleel, K. Aparna","doi":"10.1109/ICACC.2015.17","DOIUrl":"https://doi.org/10.1109/ICACC.2015.17","url":null,"abstract":"In this work a non linear multiple input multiple output model for binary ethane-ethylene distillation column is derived. Identification is carried out on nonlinear auto regressive with exogenous inputs (NARX) structure based neural network (using both Steepest Descent algorithm and Levenberg-Marquardt algorithm) and NARX based ANFIS. Data used for identification is obtained from Daisy database. Ratio between reboiler duty and feed flow, ratio between reflux rate and feed flow, ratio between distillate and feed flow, input ethane composition and top pressure were used as input variables while top ethane composition, bottom ethylene composition and differential pressure between top and bottom were used as output variables. In this work a new method for identification of distillation column using NARX based ANFIS is proposed. Result showed neural network model and ANFIS model was able to capture nonlinear dynamic behavior of the distillation column. Results were compared with statistical criterion (Correlation Coefficient and Root Mean Square Error) for each of the neural network model and ANFIS model to understand which model performs better. Considering the results it is obvious that NARX based ANFIS model is more accurate with less number of iteration.","PeriodicalId":368544,"journal":{"name":"2015 Fifth International Conference on Advances in Computing and Communications (ICACC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130226105","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

Multipath Load Balancing Technique for Congestion Control in Mobile Ad Hoc Networks 移动Ad Hoc网络中拥塞控制的多路径负载均衡技术

2015 Fifth International Conference on Advances in Computing and Communications (ICACC) Pub Date : 2015-09-01 DOI: 10.1109/ICACC.2015.97

Sujata V. Mallapur, S. Patil, Jayashree Agarkhed

{"title":"Multipath Load Balancing Technique for Congestion Control in Mobile Ad Hoc Networks","authors":"Sujata V. Mallapur, S. Patil, Jayashree Agarkhed","doi":"10.1109/ICACC.2015.97","DOIUrl":"https://doi.org/10.1109/ICACC.2015.97","url":null,"abstract":"A mobile ad hoc network (MANET) is a collection of wireless mobile nodes that can communicate without any centralized administration or fixed infrastructure. Because of limited wireless link capabilities, nodes with heavy traffic will reduce their energy rapidly and increases the possibility of congestion and path disconnection. Hence, load balancing and congestion is necessary in MANET. Thus, this paper explores an efficient routing technique called multipath load balancing technique for congestion control (MLBCC) in MANETs to efficiently balance the load among the multiple paths by reducing congestion. The proposed protocol performs two major functions during the data transmission process, firstly, congestion detection by using an arrival rate and an outgoing rate at a particular time interval T. Secondly, selection of gateway node using link cost and the path cost to efficiently distribute the load by selecting the most desirable paths. For an efficient flow of distribution, a node availability degree standard deviation parameter is introduced. The results of our experiments show performance improvements in terms of average end-to-end delay, packet delivery ratio and packet drop ratio in comparison with AOMDV and FMLB.","PeriodicalId":368544,"journal":{"name":"2015 Fifth International Conference on Advances in Computing and Communications (ICACC)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132009372","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: 10

A Comparative Study of OpenStack and CloudStack OpenStack与CloudStack的比较研究

2015 Fifth International Conference on Advances in Computing and Communications (ICACC) Pub Date : 2015-09-01 DOI: 10.1109/ICACC.2015.110

Jaison Paul Mullerikkal, Yedhu Sastri

引用次数: 12

Salient Region Detection Based on Spatial Weight Map 基于空间权重图的显著区域检测

2015 Fifth International Conference on Advances in Computing and Communications (ICACC) Pub Date : 2015-09-01 DOI: 10.1109/ICACC.2015.100

Shelmy Mathai, Paul P. Mathai

引用次数: 0

An Algorithmic Approach for General Video Summarization 一种通用视频摘要算法

2015 Fifth International Conference on Advances in Computing and Communications (ICACC) Pub Date : 2015-09-01 DOI: 10.1109/ICACC.2015.34

Jina Varghese, K. N. Nair

引用次数: 5