Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India最新文献_第7页

Public Auditing In Cloud Environment For Secure Data Sharing 云环境下的公共审计，实现安全的数据共享

Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India Pub Date : 1900-01-01 DOI: 10.4108/EAI.16-5-2020.2303943

A. Jesudoss, L. Lakshmanan, A. Christy, M. MercyTheresa, S. Jayaprakash

引用次数: 0

Designing and Fine Tuning a Fire Safety Monitoring System for Smart Buildings using RPL Protocol 基于RPL协议的智能楼宇消防安全监控系统设计与微调

Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India Pub Date : 1900-01-01 DOI: 10.4108/EAI.16-5-2020.2303946

T. Anusha, M. Pushpalatha

{"title":"Designing and Fine Tuning a Fire Safety Monitoring System for Smart Buildings using RPL Protocol","authors":"T. Anusha, M. Pushpalatha","doi":"10.4108/EAI.16-5-2020.2303946","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2303946","url":null,"abstract":". Internet of Things is a well established technology for a wide variety of applications like Smart Homes, Smart Buildings, Healthcare, Agriculture, Aviation, AMI etc. Fire tragedy is one of the most damaging risk that could occur for an industrial, commercial or residential building. IoT can be successfully employed in large buildings to safeguard the occupants and also its infrastructure. To this end, a smart building is equipped with large number of economic sensors that forms an LLN (low power lossy network) with border router for Internet connectivity. RPL is a routing protocol for LLNs that ensures that tiny battery operated sensor devices could form a network with automated address configuration, spontaneous topology formation, IPv6 connectivity and fail-safe operation. This paper proposes an enhanced application of RPL protocol which increases the longevity of the portable nodes and assures quick response during a fire. This paper explains the required IoT infrastructure along with an application that provides a live web page with color codes to monitor the temperature of the different regions of a smart building.","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129170075","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

Enhancing Accessibility of Messages Using Clustering and Labeling In Micro blogging’s 微博中聚类与标注增强信息可及性

Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India Pub Date : 1900-01-01 DOI: 10.4108/EAI.16-5-2020.2304025

S. Ahmed, K.Guru Charan, Velu Sudha, H. Suma, M. Sindhu, J. Ranjani, P. Jayaprakash

引用次数: 0

Development of a Cognitive Assistant to Learn Concepts for Placement Assistance 一个认知助手的发展，以学习安置援助的概念

Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India Pub Date : 1900-01-01 DOI: 10.4108/EAI.16-5-2020.2303970

R. D. Lakshmi, S. Abirami, M. Srivani

{"title":"Development of a Cognitive Assistant to Learn Concepts for Placement Assistance","authors":"R. D. Lakshmi, S. Abirami, M. Srivani","doi":"10.4108/EAI.16-5-2020.2303970","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2303970","url":null,"abstract":"A cognitive assistant helps the humans and enhance their capabilities to solve a large range of complex tasks. The main aim of this paper is to develop a pedagogical cognitive assistant to improve the reasoning abilities and decision making skills. The proposed system has been implemented to assist as a personal agent for students to learn python programming language. The cognitive assistant facilitates natural interactions with the students and it applies human reasoning skills to judge the students ability and train them further. The proposed techniques include Question Answer (QA) analyser, dynamic study plan generation by using assertion graph and accurate answer generation by using evidence extraction and inference generation. A cognitive conversation increases user’s satisfaction and easily engages them with the system and it has achieved significant higher learning gains than a non-interactive online course. The proposed system is evaluated by using the confidence weighted score evaluation metric.","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130920325","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

Garbage Segregation System using Support Vector Machine 基于支持向量机的垃圾分类系统

Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India Pub Date : 1900-01-01 DOI: 10.4108/EAI.16-5-2020.2303972

V. Akshita, R. Pushkala, R. Nivetha, S. S. Subashka

引用次数: 0

A New Technique of digital Certificate Using Blockchain Technology 基于区块链技术的数字证书新技术

Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India Pub Date : 1900-01-01 DOI: 10.4108/EAI.16-5-2020.2304045

S. Leelavathy, S. Divyashree, P. Sneha, P. Pattar, R. S. Kumar

{"title":"A New Technique of digital Certificate Using Blockchain Technology","authors":"S. Leelavathy, S. Divyashree, P. Sneha, P. Pattar, R. S. Kumar","doi":"10.4108/EAI.16-5-2020.2304045","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304045","url":null,"abstract":". The authorizations granting certification are highly compromised in terms of security details, due to lack of authentication and antiforge mechanism. We adopt block chain technology to overcome the problem of certificate for-gery which will confirm users similar to digital signature with his/her identity and accessing authorization. Block chain technology is an open distributed ledger which contains unchallengeable information in a highly protected and encrypted approach and also it ensures that each transactions can by no means be changed. In accord to a high requirement for the method that can pledge to facilitate the information in such a certificate is original, this means that the document has been originated from authoritative resource and is not fake. Interplanetary file system makes use of the content address to exclusively identity every individual file in a overall namespace involving all computing device. A quick response (qr) code is a bi- dimensional barcode which provisions data in the form of black dots and white dots. The system comprises of black squares set in a square framework on a white environment, that can be captured by an imaging mechanism like a camera.","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127803308","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

Support Vector Machine based Breast Cancer Classification using Next Generation Sequences 基于支持向量机的下一代序列乳腺癌分类

Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India Pub Date : 1900-01-01 DOI: 10.4108/EAI.16-5-2020.2303953

Babymol Kurian, V. Jyothi

{"title":"Support Vector Machine based Breast Cancer Classification using Next Generation Sequences","authors":"Babymol Kurian, V. Jyothi","doi":"10.4108/EAI.16-5-2020.2303953","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2303953","url":null,"abstract":". Next Generation Sequencing is inevitable for providing better approach for predicting and curing diseases with high success rate in an appreciable timeline. Modern technology such as machine learning support the medical research with high speed and tremendous accuracy from disease prediction to cure. In this paper, the supervised learning model, Support Vector Machine is applied on next generation sequences for the prediction of breast cancer. Ten basic features of DNA sequences such as individual nucleobase average count of A, G, C, T, AT and GC-content, AT/GC composition, G-Quadruplex occurrence, ORF (Open Reading Frame) count and MR (Mutation Rate) are used for framing the feature vector. The feature vectors along with the class value are considered as the dataset for supervised learning. Datasets are prepared to classify (class value) as ‘0’ for normal sequences, ‘1’ for BRCA1 cancer sequences and ‘2’ for BRCA2 cancer sequences. Four different categories of datasets are prepared with 50, 100, 150 and 200 sequences for each class of normal sequence, BRCA1 and BRCA2 cancer sequence. While increasing the dataset size, the outlier, the distribution and scattered features of data were also analysed. The datasets are split into training and testing set with 80:20 ratio for the classification process. SVM model in Python is applied for supervised classification process.","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123752154","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