2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)最新文献_第3页

OO design for an IoT based automated plant watering system 基于物联网的自动化植物浇水系统的OO设计

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/icccsp.2017.7944106

Shrinidhi Rajagopal, V. Krishnamurthy

引用次数: 4

Scene understanding — A survey 场景理解——调查

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944094

S. Aarthi, S. Chitrakala

{"title":"Scene understanding — A survey","authors":"S. Aarthi, S. Chitrakala","doi":"10.1109/ICCCSP.2017.7944094","DOIUrl":"https://doi.org/10.1109/ICCCSP.2017.7944094","url":null,"abstract":"In recent times, scene understanding holds a great position in computer vision due to its real time perceiving, analyzing and elaborating an interpretation of dynamic scene which leads to new discoveries. A scene is a view of real world environment with multiple objects and surfaces in a meaningful way. Objects are compact and act upon whereas scene are extended in space and act within. The visual information can be given with many features such as Colors, Luminance and contours or in the form of Shapes, Parts and Textures or through semantic context. The goal of scene understanding is to make machines look like humans, to have a complete understanding of visual scenes. Scene understanding is influenced by cognitive vision with an involvement of major areas like computer vision, cognitive engineering and software engineering. Due to its enormous growth many outstanding universities like Boston University, Stafford Vision lab, Scene grammar lab, air lab, Laboratory Machine Vision and Pattern Recognition have been perseveringly working for added improvements in this area. This paper discusses an extensive survey of scene understanding with various strategies and methods.","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":"122403375","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: 21

Analysis of modular biped wall climbing robot with high mobility and effective transit mechanism 具有高效移动机构的模块化双足爬壁机器人分析

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944060

S. Kamalakannan, R. Ambigai

引用次数: 1

Development of efficient VLSI architecture for speech processing in mobile communication 用于移动通信中语音处理的高效VLSI架构的开发

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944068

U. Purushotham, K. Suresh

引用次数: 0

Performance analysis and comparative study of microstrip patch antenna using aperture coupled and proximity coupled feeding methodology 采用孔径耦合和接近耦合馈电方法的微带贴片天线性能分析与比较研究

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944065

D. Chatterjee, A. Kundu

引用次数: 7

Utilization based prediction model for resource provisioning 资源供应的基于利用率的预测模型

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944099

K. Rajaram, M. Malarvizhi

引用次数: 5

Microstrip feed substrate integrated waveguide cavity slot antenna for 60GHz applications 用于60GHz应用的微带馈电基板集成波导腔槽天线

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944081

M. N. Kumar, T. Shanmuganantham

引用次数: 0

Effective detection of mass abnormalities and its classification using multi-SVM classifier with digital mammogram images 基于数字乳房x线图像的多支持向量机分类器有效检测肿块异常并进行分类

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944090

G. Jothilakshmi, A. Raaza

{"title":"Effective detection of mass abnormalities and its classification using multi-SVM classifier with digital mammogram images","authors":"G. Jothilakshmi, A. Raaza","doi":"10.1109/ICCCSP.2017.7944090","DOIUrl":"https://doi.org/10.1109/ICCCSP.2017.7944090","url":null,"abstract":"Breast cancer is one of the most common kind of cancer, as well as it's the major cause in increasing mortality rate in women. Mammography is the effective method that is used for the early detection of breast cancer. Digital mammograms have become the most effective source for the detection of breast cancer. This paper proposes a method for the detection and classification of mass abnormalities in digital mammogram images using multi SVM classifier. The goal of this research is to increase the diagnostic accuracy of image processing and optimum classification between malignant and benign abnormalities in mass region which reduces the misclassification of breast images. Malignant and benign abnormalities are detected from the segmented images using region based segmentation, which correspond to the Regions of Interest (ROIs) or abnormal regions. Texture based features are extracted from the ROI samples using Gray Level Co-Occurrence Matrices (GLCMs). For the purpose of classification between malignant and benign samples, the optimum subset of texture features are classified using a Multi-Support Vector Machine (SVM). The effectiveness of this paper is examined using classification accuracy, which produced an accuracy of 94%.","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":"114529385","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: 21

A novel dual band microstrip patch antenna with DOS for X-band applications 用于x波段应用的新型双频微带贴片天线

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944078

R. Kiruthika, T. Shanmuganantham, Rupak Gupta

引用次数: 3

A model for predicting resources for on-premise applications 用于预测本地应用程序资源的模型

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI: 10.1109/ICCCSP.2017.7944070

K. Rajaram, M. Malarvizhi

引用次数: 1