2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET)最新文献_第5页

An adaptive e-learning environment centred on learner's emotional behaviour 以学习者情绪行为为中心的适应性电子学习环境

2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET) Pub Date : 2017-02-01 DOI: 10.1109/ICAMMAET.2017.8186752

A. Kanimozhi, V. Raj

{"title":"An adaptive e-learning environment centred on learner's emotional behaviour","authors":"A. Kanimozhi, V. Raj","doi":"10.1109/ICAMMAET.2017.8186752","DOIUrl":"https://doi.org/10.1109/ICAMMAET.2017.8186752","url":null,"abstract":"Recent trends in Information and Communication Technology, Web based learning environment attract the learner for anywhere and anytime learning such as e-learning environment. Many research says that the learner's active listening duration is 15 to 20 minutes and research on e-learning mainly focusing to offer an adaptive e-learning content with respect to the learner's profile and knowledge. This paper, we are mainly focused, how to engage the student in e-learning for longer duration. To keep the learner, in active listening mood, we have to recognize the learner mood and offer the adaptive learning content with respect to their mood, knowledge in the domain, profile and Learner history feedback. We focused to reveal the learner's emotional behavior, we have taken Facial feature emotion extraction, body gesture, movement and EEG — Bio signal approach for emotion prediction. The result was analyzed and it shows that bio-signal accurately predicting the learner's emotion. Finally, we have used the EEG approach for predicting the learner's emotional behavior while learning.","PeriodicalId":425974,"journal":{"name":"2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET)","volume":"40 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114126997","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: 10

A novel approach for time series data forecasting based on ARIMA model for marine fishes 基于ARIMA模型的海洋鱼类时间序列数据预测新方法

2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET) Pub Date : 2017-02-01 DOI: 10.1109/ICAMMAET.2017.8186707

M. Rizwan, R. Raj, M. Vasudev

引用次数: 5

ASFuL: Aspect based sentiment summarization using fuzzy logic ASFuL:使用模糊逻辑的基于方面的情感总结

2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET) Pub Date : 2017-02-01 DOI: 10.1109/ICAMMAET.2017.8186681

A. J. J. Mary, L. Arockiam

引用次数: 9

Satellite image classification of different resolution images using cluster ensemble techniques 基于聚类集成技术的不同分辨率卫星图像分类

2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET) Pub Date : 2017-02-01 DOI: 10.1109/ICAMMAET.2017.8186672

K. Radhika, S. Varadarajan

{"title":"Satellite image classification of different resolution images using cluster ensemble techniques","authors":"K. Radhika, S. Varadarajan","doi":"10.1109/ICAMMAET.2017.8186672","DOIUrl":"https://doi.org/10.1109/ICAMMAET.2017.8186672","url":null,"abstract":"The classification of Satellite image is an imperative system utilized to retrieve information in remote sensing. Primary data of extraordinary significance to several difficulties can be acquired straightforwardly from Land-cover observing. As it is required to discuss about the issue of supervised Land-cover classification of multispectral satellite images in the perspective of cluster ensemble and self learning. Different information partitions inferred by several clustering methods which are gathered into a better solution by cluster ensembles. supervised iterative Expectation-Maximization (EM) method can be initialized by cluster ensemble based strategy which will be examined in the paper. This will deliver better approximation of cluster parameters. Here definition of Land-cover classes is vital. Another method for producing suitable labeling model for each and every clustering of the consensus is introduced for cluster ensembles. The upgraded parameter set acquired from the EM step is trained by maximum likely-hood classifier to classify the rest of the pixels. The effect of data overlapping from several clusters can be reduced by the self learning classifier. Comparison is made on the performance of the clustering between the proposed method and individual clustering of the ensemble for medium resolution and a very high spatial resolution images.","PeriodicalId":425974,"journal":{"name":"2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET)","volume":"38 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":"125123621","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: 4

Designing a framework for diagnosing hepatitis disease using data mining techniques 利用数据挖掘技术设计肝炎疾病诊断框架

2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET) Pub Date : 2017-02-01 DOI: 10.1109/ICAMMAET.2017.8186708

S. Pushpalatha, J. G. Pandya

引用次数: 4

A comprehensive study of the techniques used in non-intrusive load disaggregation 非侵入式负载分解技术的综合研究

2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET) Pub Date : 2017-02-01 DOI: 10.1109/ICAMMAET.2017.8186698

P. Jadhav, R. Rao, Sourabh Vhatkar

引用次数: 1

Development of GPS/INS integration module using Kalman filter 基于卡尔曼滤波的GPS/INS集成模块的研制

2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET) Pub Date : 2017-02-01 DOI: 10.1109/ICAMMAET.2017.8186715

N. Yadav, A. Shanmukha, B. Amruth, Basavaraj

{"title":"Development of GPS/INS integration module using Kalman filter","authors":"N. Yadav, A. Shanmukha, B. Amruth, Basavaraj","doi":"10.1109/ICAMMAET.2017.8186715","DOIUrl":"https://doi.org/10.1109/ICAMMAET.2017.8186715","url":null,"abstract":"Inertial Navigation systems combined with other navigational aids like GPS, has picked up significance due to the upgraded navigational and inertial execution. INS alone can compute the position of a certain object or vehicle with no assistance from the outside world. There are extensive number of errors that are acquainted from time to time due to which there are inadmissible floats in the yields. Henceforth GPS is utilized to help INS utilizing the Kalman channel which helps in redesigning the position precision and the errors are evaluated. Extended Kalman Filter is intended to coordinate INS and GPS in a flexible way compared with the conventional integration. In light of the loosely coupled GPS/INS integration, the proposed plan can switch between the feed forward and feed backward techniques. In this way, the framework can lessen the position and speed errors contrasted with ordinary combination strategy. The outcome of the project is the successful integration of the GPS and INS using a simulation model in the MATLAB. The result obtained demonstrates the minimized errors in the parameters when both INS and GPS are integrated using Kalman Filter.","PeriodicalId":425974,"journal":{"name":"2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET)","volume":"26 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":"131532851","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: 6

Modified square difference function using fourier series approximation for pitch estimation 改进的平方差分函数使用傅里叶级数近似的基音估计

2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET) Pub Date : 2017-02-01 DOI: 10.1109/ICAMMAET.2017.8186701

Balachandra Kumaraswamy, P. G. Poonacha

{"title":"Modified square difference function using fourier series approximation for pitch estimation","authors":"Balachandra Kumaraswamy, P. G. Poonacha","doi":"10.1109/ICAMMAET.2017.8186701","DOIUrl":"https://doi.org/10.1109/ICAMMAET.2017.8186701","url":null,"abstract":"Several pitch estimation algorithms both in time domain as well as frequency domain have been proposed by researchers in last few decades. Among them, Square Difference Function (SDF) is one of the popular time-domain pitch detection algorithms. A modified SDF known as YIN is known to give better results. Each pitch detection algorithm has its limitations and error in pitch detection is observed across all algorithms. We specifically address one of the prominent pitch detection errors, known as harmonic errors where the estimated pitch is one of the multiples of the actual pitch. In this paper, we propose a modification to YIN function using Fourier series approximation to reduce harmonic errors. This method gives better estimate of pitch in case of quasi-periodic signals like music due to use of Fourier series coefficients which captures the signal in a better way. We have studied various harmonic signals and analyzed them to find out the cause for such harmonic errors. Then we apply the algorithm on real music signals as well as synthetic signals. Our simulation study shows that the new algorithm leads to an improved pitch estimation method.","PeriodicalId":425974,"journal":{"name":"2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET)","volume":"6 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":"128285958","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

The future of database services: Cloud database 数据库服务的未来:云数据库

2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET) Pub Date : 2017-02-01 DOI: 10.1109/ICAMMAET.2017.8186697

Niraja Jain

{"title":"The future of database services: Cloud database","authors":"Niraja Jain","doi":"10.1109/ICAMMAET.2017.8186697","DOIUrl":"https://doi.org/10.1109/ICAMMAET.2017.8186697","url":null,"abstract":"Databases are the core of all the business services that are offered online. Cloud computing has drastically changed the way these online services are being offered. Hence it is of significance importance that the databases need to be compatible with cloud computing. The data is growing enormously with every passing day. With the paradigm shift in the technology used to store, manage and retrieve the data from file storage to relational databases to today's cloud databases, the need to process the query efficiently while preserving the privacy had always been the priority. The dynamism of the query and the optimization of the resources used for query execution are the aspects that doesn't change in any situation. The timing constraint on the query execution could be either instantaneous, urgent, leisurly or indefinite. But in almost all the scenarios the effective storage, manipulation and data retrieval is the key. While retrieving the data stored in cloud, privacy preservation is of utmost importance. To improve query efficiency in cloud with preserving the privacy can be achieved by introducing dataflow optimization techniques and defining data descriptor based algorithms.","PeriodicalId":425974,"journal":{"name":"2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET)","volume":"58 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":"114989851","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

Research on dynamic response and stability analysis of high slope subgrade 高边坡路基动力响应及稳定性分析研究

2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET) Pub Date : 2017-02-01 DOI: 10.1109/ICAMMAET.2017.8186635

Xiaocheng Su, Dechen Wang

引用次数: 0