2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET)最新文献_第10页

Big data in genomics 基因组学中的大数据

2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET) Pub Date : 2017-02-01 DOI: 10.1109/ICAMMAET.2017.8186739

T. Godhandaraman, N. Pruthviraj, V. Praveenkumar, A. Banuprasad, K. Karthick

引用次数: 7

A study on knowledge based e-learning in teaching learning process 基于知识的电子学习在教学学习过程中的应用研究

2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET) Pub Date : 2017-02-01 DOI: 10.1109/ICAMMAET.2017.8186686

G. Deena, K. Raja

{"title":"A study on knowledge based e-learning in teaching learning process","authors":"G. Deena, K. Raja","doi":"10.1109/ICAMMAET.2017.8186686","DOIUrl":"https://doi.org/10.1109/ICAMMAET.2017.8186686","url":null,"abstract":"The fast increase in the development in Information and Communication Technology (ICT), a new era comes in the education system. To survive in today's world, the life time learning is very much important with a new cognitive strategy forever. Electronic learning or E-Learning is a kind of skill that supported in the recent teaching learning system. E-Learning refers to anytime any where learning and the medium of education is through computer technology. It also plays the major role in business and corporate industry. The purpose of the learning system is to develop quality of learning. The various learning style will helps to increase the learner's performance. The learning styles of the learner are identified through their behavioural characteristics and cognitive skills. The main objective of the E-learning is to offer the communication platform for teaching learning process. Intelligent Tutoring System (ITS) is an interdisciplinary field that examines to provide instruction to the needs of learner and tutors. This paper aims to develop the knowledge based E-learning by incorporating ITS in Teaching Learning Process. The knowledge based E-Learning system will identify the cognitive level of the learner to understand the concept in better way.","PeriodicalId":425974,"journal":{"name":"2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131308591","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

Device authentication mechanism for IoT enabled healthcare system 支持物联网的医疗保健系统的设备认证机制

2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET) Pub Date : 2017-02-01 DOI: 10.1109/ICAMMAET.2017.8186646

Shantha Mary Joshitta, L. Arockiam

引用次数: 9

Health experts for pets using mobile apps 宠物健康专家使用移动应用程序

2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET) Pub Date : 2017-02-01 DOI: 10.1109/ICAMMAET.2017.8186740

Praveen Kumar, Madhu, Jaya Kumar, C. Sathish

引用次数: 2

Enhanced encryption algorithm (EEA) for protecting users' credentials in public cloud 增强的加密算法(EEA)，用于保护公共云中用户的凭据

2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET) Pub Date : 2017-02-01 DOI: 10.1109/ICAMMAET.2017.8186644

N. Veeraragavan, L. Arockiam, S. S. Manikandasaran

引用次数: 10

Fingerprint authentication using Raspberry Pi based on IoT 基于物联网的树莓派指纹认证

2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET) Pub Date : 2017-02-01 DOI: 10.1109/ICAMMAET.2017.8186737

R. Vijaysanthi, N. Radha, M. Shree, V. Sindhujaa

引用次数: 8

Study on embankment stability of rising water level of a reservoir in Linyi city 临沂市某水库水位上升路堤稳定性研究

2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET) Pub Date : 2017-02-01 DOI: 10.1109/ICAMMAET.2017.8186640

Xiaocheng Su

引用次数: 1

Automatic traffic sign detection and recognition: A review 自动交通标志检测与识别综述

2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET) Pub Date : 2017-02-01 DOI: 10.1109/ICAMMAET.2017.8186650

M. Swathi, K. Suresh

引用次数: 24

Suboptimal mechanism for load balancing in cloud environment 云环境下负载平衡的次优机制

2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET) Pub Date : 2017-02-01 DOI: 10.1109/ICAMMAET.2017.8186689

Shikha Pandey, A. Upadhaya, C. K. Jha

引用次数: 3

Heuristics for privacy preserving data mining: An evaluation 隐私保护数据挖掘的启发式方法:评价

2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET) Pub Date : 2017-02-01 DOI: 10.1109/ICAMMAET.2017.8186664

S. Mohana, S. A. Mary

{"title":"Heuristics for privacy preserving data mining: An evaluation","authors":"S. Mohana, S. A. Mary","doi":"10.1109/ICAMMAET.2017.8186664","DOIUrl":"https://doi.org/10.1109/ICAMMAET.2017.8186664","url":null,"abstract":"Availability of information in profusion in the internet and databases is common knowledge. It has to be viewed in the backdrop of chances for disclosure of such information by a third party. Privacy Preserving Data Mining (PPDM) is in use for maintaining the privacy of individuals. Numerous updated methods are available for the purpose. Evolutionary Algorithms (EA's) are able to provide effective solutions for real-world optimization problems. They find use in business practice too. This work has a proposal for the implementation of an EA using K-Anonymization; particle swam optimization (PSO), Ant colony optimization (ACO) and a Genetic Algorithm (GA). We herein propose Genetic algorithm and particle swam optimization work with the same data. The use of generalization of the original dataset is meant for achieving K-anonymity. A collection of people called “chromosomes” frame the populace which shows an aggregate solution for a characterized issue in the proposed GA. The achievement of good accuracy is obtained by GA optimization, recall and precision in comparison with K-Anonymization, PSO and ACO methods.","PeriodicalId":425974,"journal":{"name":"2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128400617","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: 8