2014 International Conference on Computer Communication and Informatics最新文献_第6页

A development of knowledge-based inferences system for detection of breast cancer on thermogram images 基于知识的热成像乳腺癌检测推理系统的开发

2014 International Conference on Computer Communication and Informatics Pub Date : 2014-10-16 DOI: 10.1109/ICCCI.2014.6921743

G. Lalli, D. Kalamani, N. Manikandaprabu, C. Marimuthu

引用次数: 19

Data mining based pervasive system design for Intensive Care Unit 基于数据挖掘的重症监护病房普适系统设计

2014 International Conference on Computer Communication and Informatics Pub Date : 2014-10-16 DOI: 10.1109/ICCCI.2014.6921725

Sonali Agarwal, Sanjeev Kumar Sinha

{"title":"Data mining based pervasive system design for Intensive Care Unit","authors":"Sonali Agarwal, Sanjeev Kumar Sinha","doi":"10.1109/ICCCI.2014.6921725","DOIUrl":"https://doi.org/10.1109/ICCCI.2014.6921725","url":null,"abstract":"Intensive Care Unit is extremely useful for providing health care to critically ill patients for their speedy recovery. An Intensive Care Unit (ICU) consists of multiple life saving machines which are continuously recording vital organs of patients and generating vast data at very high frequency. A context aware based real time monitoring system is extremely useful in the modern era of bio-medical engineering which could able to help medical expertise for efficient decision making. Considering multiple vital factors in a real-life scenario an intelligent decision support system could be developed and work more efficiently if associated with Pervasive Data Mining techniques. The approach presented in this research work illustrates the Pervasive Data Mining for Intensive care unit which utilizes “Adaptive Direct Acyclic Graph based Support Vector Machine” (ADAGSVM) to classify the health conditions of elderly patients. An Adult Prognostic Index (API) scoring system has been utilized which could be calculated on the basis of six important vital signs. Based on the value of Adult Prognostic Index, clinical rules may be identified to initiate alarms for monitoring of patient health conditions.","PeriodicalId":244242,"journal":{"name":"2014 International Conference on Computer Communication and Informatics","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126604673","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

Text summarization using enhanced MMR technique 使用增强型MMR技术的文本摘要

2014 International Conference on Computer Communication and Informatics Pub Date : 2014-10-16 DOI: 10.1109/ICCCI.2014.6921769

Rashmi Kurmi, P. Jain

引用次数: 8

A modified novel compressor based Urdhwa Tiryakbhyam multiplier 一种改进的基于Urdhwa Tiryakbhyam倍增器的新型压缩机

2014 International Conference on Computer Communication and Informatics Pub Date : 2014-10-16 DOI: 10.1109/ICCCI.2014.6921784

N. Rajasekhar, T. Shanmuganantham

引用次数: 6

Hybrid brain computer interface in wheelchair using voice recognition sensors 轮椅上使用语音识别传感器的混合脑机接口

2014 International Conference on Computer Communication and Informatics Pub Date : 2014-10-16 DOI: 10.1109/ICCCI.2014.6921754

M. Anousouya Devi, R. Sharmila, V. Saranya

引用次数: 12

Spectaculars face classification by using locality preserving projections 基于局域保持投影的景观人脸分类

2014 International Conference on Computer Communication and Informatics Pub Date : 2014-10-16 DOI: 10.1109/ICCCI.2014.6921737

M. Udhayakumar, S. Sidharth, S. Deepak, M. Arunkumar

{"title":"Spectaculars face classification by using locality preserving projections","authors":"M. Udhayakumar, S. Sidharth, S. Deepak, M. Arunkumar","doi":"10.1109/ICCCI.2014.6921737","DOIUrl":"https://doi.org/10.1109/ICCCI.2014.6921737","url":null,"abstract":"Face recognition and feature detection plays a vital role in various applications such as human computer interaction, face tracking, video surveillance and face recognition. Efficient face recognition algorithms are required for applying to those tasks. Recently face recognition is attracting a big attention in the social application and also authentication. Face recognition makes hackers virtually impossible to break one's “password”, but also increases the user- friendliness in human-computer interaction. Face recognition systems are now refill the need for security. The face recognition system is proving to be very efficient security in the system authentication. Face recognition technology has to perform for identify the face recognition. To verify it for authentication claims. By advancing future extraction methods and dimensionality reduction methods in the application and number of face the feature recognition systems has been developed with distinct degrees of success. Recent researches show that high dimensional face images lie on or close to a low dimensional manifold. But LPP is a widely used manifold reduced dimensionality technique.LPP preserve the local structure of face image space which is usually more significant than the global structure preserved by principal component analysis (PCA) and linear Discriminant analysis (LDA). A Graphical User Interface (GUI) has been implemented to show various aspects of locality preserving projection.","PeriodicalId":244242,"journal":{"name":"2014 International Conference on Computer Communication and Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129011040","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

Notice of Violation of IEEE Publication PrinciplesRemote patient monitoring system for rural population using ultra low power embedded system 违反IEEE发布原则的通知采用超低功耗嵌入式系统的农村人口远程患者监护系统

2014 International Conference on Computer Communication and Informatics Pub Date : 2014-10-16 DOI: 10.1109/ICCCI.2014.6921798

S. Navaneethakrishnan, R. Mahendar

引用次数: 1

Analysis of optimization techniques in FPGA placement FPGA布局优化技术分析

2014 International Conference on Computer Communication and Informatics Pub Date : 2014-10-16 DOI: 10.1109/ICCCI.2014.6921742

N. Venugopal, V. Shobana, R. Manimegalai

引用次数: 2

Machine learning approach for forecasting crop yield based on climatic parameters 基于气候参数预测作物产量的机器学习方法

2014 International Conference on Computer Communication and Informatics Pub Date : 2014-10-16 DOI: 10.1109/ICCCI.2014.6921718

S. Veenadhari, Bharat Misra, C. Singh

{"title":"Machine learning approach for forecasting crop yield based on climatic parameters","authors":"S. Veenadhari, Bharat Misra, C. Singh","doi":"10.1109/ICCCI.2014.6921718","DOIUrl":"https://doi.org/10.1109/ICCCI.2014.6921718","url":null,"abstract":"With the impact of climate change in India, majority of the agricultural crops are being badly affected interms of their performance over a period of last two decades. Predicting the crop yield well ahead of its harvest would help the policy makers and farmers for taking appropriate measures for marketing and storage. Such predictions will also help the associated industries for planning the logistics of their business. Several methods of predicting and modeling crop yields have been developed in the past with varying rateof success, as these don't take into account characteristicsoftheweather, a n d aremostly empirical. In the present study a software tool named `Crop Advisor' has been developed as an user friendly web page for predicting the influence of climatic parameters on the crop yields.C4.5 algorithm is used to find out the most influencing climatic parameter on the crop yields of selected crops in selected districts of Madhya Pradesh. This software provides an indication of relative influence of different climatic parameters on the crop yield, other agro-input parameters responsible for crop yield are not considered in this tool, since, application of these input parameters varies with individual fields in space and time.","PeriodicalId":244242,"journal":{"name":"2014 International Conference on Computer Communication and Informatics","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126463022","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: 137

Robust feature selection method for music classification 基于鲁棒特征选择的音乐分类方法

2014 International Conference on Computer Communication and Informatics Pub Date : 2014-10-16 DOI: 10.1109/ICCCI.2014.6921733

P. Rameshkumar, M. Monisha, B. Santhi, T. Vigneshwaran

{"title":"Robust feature selection method for music classification","authors":"P. Rameshkumar, M. Monisha, B. Santhi, T. Vigneshwaran","doi":"10.1109/ICCCI.2014.6921733","DOIUrl":"https://doi.org/10.1109/ICCCI.2014.6921733","url":null,"abstract":"Human latent of distinguish varied music natures and cluster those into classes of categories are so incredible which expert in music will achieve such categorisation using their logical judgement and hearing senses. Till now, the technical society have concerned in delve into computerize the human way of distinguish the music in view of each necessary factor of the music tune, songs from voice of the artists are all based on the instrument types. The outcomes of those works up to now have been significant however still it can be enhanced. The main intend of this paper is to categorize the western and carnatic songs process automation by extracting the selected features which gives more accuracy of categorization. Inspite of the several features of audio signals (Method-1) the proposed method identifies the important robust features (Method-2) (RMS, Low Energy, Rolloff, Brightness, Pitch, Inharmonicity, Flatness and Entropy) with respect to carnatic/western music categorization. The identified features for carnatic/western music classification were tested using several classifiers and their accuracy of classification was discussed.","PeriodicalId":244242,"journal":{"name":"2014 International Conference on Computer Communication and Informatics","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125243165","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