2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)最新文献_第8页

PAR: A proactive queue mechanism for multi-hop wireless networks PAR:多跳无线网络的主动队列机制

2017 International conference of Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2017-04-01 DOI: 10.1109/ICECA.2017.8212766

M. Jude, S. Kuppuswami

引用次数: 0

Real time Android app based respiration rate monitor 实时Android应用程序为基础的呼吸率监测

2017 International conference of Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2017-04-01 DOI: 10.1109/ICECA.2017.8203633

R. Bhattacharya, N. Bandyopadhyay, S. Kalaivani

引用次数: 11

Eigenface method through through facial expression recognition 特征脸法通过面部表情识别

2017 International conference of Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2017-04-01 DOI: 10.1109/ICECA.2017.8212714

Prashant Shakyawar, Pkumar Choure, Upendra Singh

引用次数: 2

Predicting student's performance using CART approach in data science 在数据科学中使用CART方法预测学生的表现

2017 International conference of Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2017-04-01 DOI: 10.1109/ICECA.2017.8203614

Madhav S. Vyas, Reshma R. Gulwani

{"title":"Predicting student's performance using CART approach in data science","authors":"Madhav S. Vyas, Reshma R. Gulwani","doi":"10.1109/ICECA.2017.8203614","DOIUrl":"https://doi.org/10.1109/ICECA.2017.8203614","url":null,"abstract":"In technical graduate courses like engineering, it is very important that students are monitored during their first year. It is important for all technical graduates to have a good programming insight. Still, a student shying away from the core subjects like programming is common phenomena in engineering colleges nowadays. It is thus necessary to keep track of students' performance during the first year of the course especially. During semester beginning, poor performance further creates disinterest in students and hence the end result is low whether it is on semester card or it is their knowledge level. It gives a scope for us to apply data science techniques to analyze and predict a student's performance. To address this problem we propose a system which will make use of the decision tree approach to predict a student's performance. Based on student's current performance and some measurable past attributes the end result can be predicted to classify them among good or bad performers. It will thus enable a faculty to pay attention to the weak students and plan sessions for them accordingly. A student's interest in programming or other core subjects can be monitored and encouraged as needed.","PeriodicalId":222768,"journal":{"name":"2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133962265","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: 7

Virtual reality websites(VR WEB) 虚拟现实网站(VR WEB)

2017 International conference of Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2017-04-01 DOI: 10.1109/ICECA.2017.8203619

Vinit Sathe, P. Gupta, Karan Kaushik, Suvarna Bhat, Sachin Deshpande

引用次数: 6

Power spectral density and KNN based adaboost classifier for epilepsy classification from EEG 基于功率谱密度和KNN的adaboost脑电癫痫分类器

2017 International conference of Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2017-04-01 DOI: 10.1109/ICECA.2017.8203722

H. Rajaguru, S. Prabhakar

引用次数: 8

Expert system for retrieval of documents using evolutionary approaches incorporating clustering 采用结合聚类的进化方法的文档检索专家系统

2017 International conference of Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2017-04-01 DOI: 10.1109/ICECA.2017.8212847

S. Deshpande, Monika Doke, Aishwarya Deshpande, Anagha Chaudhari

{"title":"Expert system for retrieval of documents using evolutionary approaches incorporating clustering","authors":"S. Deshpande, Monika Doke, Aishwarya Deshpande, Anagha Chaudhari","doi":"10.1109/ICECA.2017.8212847","DOIUrl":"https://doi.org/10.1109/ICECA.2017.8212847","url":null,"abstract":"Classification is a central problem in the fields of data mining and machine learning. Using a training set of labeled instances, the task is to build a model (classifier) that can be used to predict the class of new unlabelled instances. Data preparation is crucial to the data mining process, and its focus is to improve the fitness of the training data for the learning algorithms to produce more effective classifiers. Searching for the frequent pattern within a specific sequence has become a much needed task in various sectors. Feature selection is selecting a subset of optimal features. Feature selection is being used in high dimensional data reduction and it is being used in several applications like medical, image processing, text mining, etc. In the existing work, unsupervised feature selection methods using Artificial Bee Colony Optimization Algorithm, Bat Algorithm and Ant Colony Optimization have been introduced. We have compared these three algorithms and concluded that Bat Algorithm proves to be better in performance than the rest. The proposed system will use a novel method to select subset of features from unlabelled data using Bat algorithm with one of the clustering algorithm and develop an expert information retrieval system.","PeriodicalId":222768,"journal":{"name":"2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115719701","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

Detection and mitigation of security attacks using real time SDN analytics 使用实时SDN分析检测和缓解安全攻击

2017 International conference of Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2017-04-01 DOI: 10.1109/ICECA.2017.8212770

S. Veena, R. Manju

引用次数: 5

Public auditing for shared data in cloud with safe user revocation 对云中的共享数据进行公共审计，并提供安全的用户撤销

2017 International conference of Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2017-04-01 DOI: 10.1109/ICECA.2017.8203603

S. Samundiswary, Nilima Dongre Jawade

{"title":"Public auditing for shared data in cloud with safe user revocation","authors":"S. Samundiswary, Nilima Dongre Jawade","doi":"10.1109/ICECA.2017.8203603","DOIUrl":"https://doi.org/10.1109/ICECA.2017.8203603","url":null,"abstract":"Cloud computing is a most adopted emerging technology by all organizations. Data storage and sharing of data in cloud is the most used services, whereas secure public auditing makes challenge in such services. Since cloud infrastructure which is not a trustable, users in the group for data sharing must compute their signatures and shares their block for integrity auditing. Any corruption, insider attack of data is possible in an outsourced data from users to cloud. All Participants in the sharing group can also able to modify data along with the access. If any user does any malicious activities, Group manager can revoke such user from group so revoked user cannot be part of sharing. The major challenges of data security is integrity of outsourced data in cloud is analyzed and proposes a privacy preserving public auditing mechanism where Third Party Auditor is used for integrity checking of data and Proxy resignature mechanism is used for re-signing keys for revoked users from the group. Additionally to avoid collusion between cloud and revoked user, our system uses secret sharing scheme called Cheater identifiable sharing based on Shamir's sharing scheme. The scheme identifies the dishonest user in the group which helps for efficient user revocation by group manager.","PeriodicalId":222768,"journal":{"name":"2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125113714","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: 7

Energy support to airports by wind systems 风力系统对机场的能源支持

2017 International conference of Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2017-04-01 DOI: 10.1109/ICECA.2017.8212767

V. Hariprasad, A. Anand, J. Sahana, P. Priya, A. Christopher, R. A. Singh, S. Jayalakshmi

引用次数: 2