2017 2nd International Conference On Emerging Computation and Information Technologies (ICECIT)最新文献

Introduction of Blockchain to Mitigate The Trusted Third Party Auditing for Cloud Security: An Overview 引入区块链以减轻云安全的可信第三方审计:概述

2017 2nd International Conference On Emerging Computation and Information Technologies (ICECIT) Pub Date : 2017-12-01 DOI: 10.1109/ICECIT.2017.8453352

N. Ravi, N. Sunitha

引用次数: 3

Preserving Location Data Integrity in Location Based Servers using Blockchain Technology 使用区块链技术在基于位置的服务器中保持位置数据的完整性

2017 2nd International Conference On Emerging Computation and Information Technologies (ICECIT) Pub Date : 2017-12-01 DOI: 10.1109/ICECIT.2017.8453286

K. M. Mahesh Kumar, N. Sunitha

引用次数: 7

Diagnose: A Novel Software Design Pattern for Modern Healthcare System 诊断:现代医疗保健系统的一种新型软件设计模式

2017 2nd International Conference On Emerging Computation and Information Technologies (ICECIT) Pub Date : 2017-12-01 DOI: 10.1109/ICECIT.2017.8453406

Niranjan R Chougala, K. S. Shreedhara

引用次数: 0

CFS Based Feature Subset Selection for Enhancing Classification of Similar Looking Food Grains- A Filter Approach 基于CFS的特征子集选择增强相似食物颗粒分类-一种滤波方法

2017 2nd International Conference On Emerging Computation and Information Technologies (ICECIT) Pub Date : 2017-12-01 DOI: 10.1109/ICECIT.2017.8453403

K. Pushpalatha, A. Karegowda

引用次数: 11

CDC and Union based near real time ETL 基于CDC和Union的近实时ETL

2017 2nd International Conference On Emerging Computation and Information Technologies (ICECIT) Pub Date : 2017-12-01 DOI: 10.1109/ICECIT.2017.8453374

N. Mohammed Muddasir, K. Raghuveer

{"title":"CDC and Union based near real time ETL","authors":"N. Mohammed Muddasir, K. Raghuveer","doi":"10.1109/ICECIT.2017.8453374","DOIUrl":"https://doi.org/10.1109/ICECIT.2017.8453374","url":null,"abstract":"Data warehouse refreshment is a challenging task today as tactical decisions are based on real-time data. To make the availability of real-time transaction data at the data warehouse near real-time techniques are employed. These techniques are based on incremental extraction i.e. the extraction of recent changes and applying intelligence at the transaction site to fetch only records that are useful for analysis. Our idea is based on the hypothesis that we could do the analysis of data from the transaction database but we do not run analysis queries on transaction database mainly because of disparate sources of transaction data and the additional load put on transaction database because of executing analysis queries. If the changed data is less in size but has a significant impact on analysis results we could not afford to lose it neither could we be able to move the changes because of the size. So we have a challenge in a few incremental changes that have a significant impact on results of analysis because these changes could not be moved either could we run analysis on transaction database. To resolve this we come up with a novel approach based on change data capture mechanism.","PeriodicalId":331200,"journal":{"name":"2017 2nd International Conference On Emerging Computation and Information Technologies (ICECIT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121192789","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: 2

Image Feature Based Smoke Recognition in Mines Using Monocular Camera Mounted on Aerial Vehicles 基于图像特征的机载单目摄像机矿井烟雾识别

2017 2nd International Conference On Emerging Computation and Information Technologies (ICECIT) Pub Date : 2017-12-01 DOI: 10.1109/ICECIT.2017.8453281

Kushal Nagaraj, Thejas Gubbi Sadashiva, Sanjeev Kaushik Ramani, S. S. Iyengar

{"title":"Image Feature Based Smoke Recognition in Mines Using Monocular Camera Mounted on Aerial Vehicles","authors":"Kushal Nagaraj, Thejas Gubbi Sadashiva, Sanjeev Kaushik Ramani, S. S. Iyengar","doi":"10.1109/ICECIT.2017.8453281","DOIUrl":"https://doi.org/10.1109/ICECIT.2017.8453281","url":null,"abstract":"Fire and smoke are common sight at mines and could be catastrophic for humans working there. Our paper focuses on an alert mechanism that is built based on detection and validation of smoke from mines. We propose a computer vision based model that is robust enough to detect presence of smoke and the direction of motion of smoke. This research paper proposes a smoke detection model integrated with Unmanned Aerial Vehicle (UAV). The model focuses on smoke detection that leads to early detection of fire. The model works on the basis of image processing. The distinguishing feature of our model is the dynamic and real time processing. Here the system tracks the dynamic environment in the mining areas using UAVs featured with cameras. The real time captured video frames are calibrated to overcome distortion considering the radial and tangential factors. The calibrated frame thus obtained is further processed to get the Region of Interest (ROI) based on the spatial Hue Saturation Value (HSV) colouring model. Each pixel of the frame is then compared with colour range of smoke using opencv functions. The matched ROI is de-noised using Non-local means De-nosing algorithm to avoid unnecessary colours. These filtered frames are then processed concurrently to identify the pattern of change in motion. Based on this pattern the ROI is classified as either smoke or no smoke. With the analysis of turbulence in each pixel the intensity of smoke is detected. The experiment is conducted with-1) Prerecorded smoke video clippings. 2) Real time video captured in the camera. The results turned out to be positive in both the test cases. So, the model works quite efficiently with both recorded and real time video. Key Terms: UAV, ROI, HSV, De-noising algorithm, pattern matching","PeriodicalId":331200,"journal":{"name":"2017 2nd International Conference On Emerging Computation and Information Technologies (ICECIT)","volume":"87 13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126296024","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

A Novel Approach For Automatic Identification Of Psoriasis Affected Skin Area. 一种自动识别银屑病患处皮肤面积的新方法。

2017 2nd International Conference On Emerging Computation and Information Technologies (ICECIT) Pub Date : 2017-12-01 DOI: 10.1109/ICECIT.2017.8453316

T. Arunkumar, H. S. Jayanna

{"title":"A Novel Approach For Automatic Identification Of Psoriasis Affected Skin Area.","authors":"T. Arunkumar, H. S. Jayanna","doi":"10.1109/ICECIT.2017.8453316","DOIUrl":"https://doi.org/10.1109/ICECIT.2017.8453316","url":null,"abstract":"The paper presents the detection of psoriasis affected skin. Thecolor feature of the skin from RGB model, where the skin color is defined as redness, greenness, and blueness are analyzed. An algorithm is developed to differentiate affected area from non affected area. The color histogram analysis is carried out for more than fifty samples to analyse erythema in order to differentiate affected skin from non affected skin. Today dermatologists visually analyse the patients for the line of treatment which is biased by various external factors. The proposed model for diagnosis is not subjective where the decisions are based on various external factors such as emotions, part of the day and vary from dermatologist to dermatologist which may have a great impact on the treatment of the disorder. The algorithm is objective and minimizes the deviation in the line of treatment as it is not affected by intra and inter diagnosis by dermatologists. The RGB histogram is analyzed and a model is built based on mean and standard deviation to differentiate healthy skin and psoriasis disorder affected skin.","PeriodicalId":331200,"journal":{"name":"2017 2nd International Conference On Emerging Computation and Information Technologies (ICECIT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129981148","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

Resource scheduling in cloud computing using back propagation algorithm 基于反向传播算法的云计算资源调度

2017 2nd International Conference On Emerging Computation and Information Technologies (ICECIT) Pub Date : 2017-12-01 DOI: 10.1109/ICECIT.2017.8453280

B. Ashwini, Y. S. Nijagunarya

引用次数: 0

Feature Based Sentiment Analysis of Compound Sentences 基于特征的复合句情感分析

2017 2nd International Conference On Emerging Computation and Information Technologies (ICECIT) Pub Date : 2017-12-01 DOI: 10.1109/ICECIT.2017.8453357

Sandhya R. Savanur, R. Sumathi

{"title":"Feature Based Sentiment Analysis of Compound Sentences","authors":"Sandhya R. Savanur, R. Sumathi","doi":"10.1109/ICECIT.2017.8453357","DOIUrl":"https://doi.org/10.1109/ICECIT.2017.8453357","url":null,"abstract":"Sentiment analysis is the study that analyzes people’s opinions, sentiments, attitudes and emotions towards entities such as products, services, organizations, individuals and events. The rise of blogs and social networks has fueled bull market in personal opinions, reviews, ratings, recommendations and other forms of online expressions. Sentiment analysis is accomplished by examining this large amount of data on the basis of positive, negative and neutral views of the end user. Feature based sentiment analysis focuses on different aspects or features of any entity under analysis. The reviews, attitudes, opinions and emotions are available on the web in the form of simple and compound sentences. Feature based sentiment analysis of simple sentences is easy compared to the analysis of compound sentences which contain multiple clauses. In this paper, we propose rules for analyzing different conjunctions and propose an algorithm to perform feature based sentiment analysis of compound sentences. Rules are defined for the different conjunctions used to form compound sentences. The algorithm analyses different conjunctions used in the compound sentences based on the rules and provides a feature based summary of different attributes of the entity under analysis.","PeriodicalId":331200,"journal":{"name":"2017 2nd International Conference On Emerging Computation and Information Technologies (ICECIT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117016638","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

Small Unarmed Robot for Defense and Security:A Cost-Effective Approach Using Arduino Uno 用于防御和安全的小型非武装机器人:使用Arduino Uno的经济高效方法

2017 2nd International Conference On Emerging Computation and Information Technologies (ICECIT) Pub Date : 2017-12-01 DOI: 10.1109/ICECIT.2017.8453325

B. P. Aniruddha Prabhu, Shivanag Hebbal

引用次数: 4