2012 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (STUDENT)最新文献_第6页

A study on Mental Arithmetic Task based human stress level classification using Discrete Wavelet Transform 基于离散小波变换的心算任务人体应激水平分类研究

2012 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (STUDENT) Pub Date : 2012-10-01 DOI: 10.1109/STUDENT.2012.6408369

P. Karthikeyan, M. Murugappan, S. Yaacob

{"title":"A study on Mental Arithmetic Task based human stress level classification using Discrete Wavelet Transform","authors":"P. Karthikeyan, M. Murugappan, S. Yaacob","doi":"10.1109/STUDENT.2012.6408369","DOIUrl":"https://doi.org/10.1109/STUDENT.2012.6408369","url":null,"abstract":"Several studies examined human stress identification using Mental Arithmetic Task (MAT). The identification and prediction of stress levels using existing data processing methodologies are incompetent to predict the stress levels either in real time or laboratory based experiments. The main objectives of the present work is to classify the stress levels using mental arithmetic task and appropriate signal processing methodology, (ii) to analyze the characteristics of Electrocardiogram (ECG) signal for different stress levels, and (iii) to derive the optimum features from a set of statistical features over different frequency bands. Ten healthy female subjects (20 to 25) years voluntarily participated and ECG signal was acquired. In this work, High Frequency (HF) and Low Frequency (LF) frequency band of ECG signal is directly analyzed similar frequency ranges of Heart Rate Viability (HRV) signals. Discrete Wavelet Transform (DWT) have employed for identifying the stress relevant effect of ANS activity during different stress levels. Statistical features derived using DWT are mapped into four different states including three stress levels (normal, low stress, medium stress, and high stress) using K-Nearest Neighbor (KNN) classifier. Covariance feature gives the maximum mean classification rate of 96.3%, and 75.9% in LF and HF bands, respectively. In addition, the maximum average classification accuracy of 65.5% is achieved using mean feature in LF/HF+LF and HF/HF+LF ratios.","PeriodicalId":282263,"journal":{"name":"2012 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (STUDENT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116548945","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: 20

Thermodynamic analysis of ideal adsorption cooling system using activated carbon/N-butane pair 活性炭/正丁烷对理想吸附冷却系统的热力学分析

2012 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (STUDENT) Pub Date : 2012-10-01 DOI: 10.1109/STUDENT.2012.6408358

K. Habib, H. Sitoi

引用次数: 1

Improved Hierarchical Structure Poly-particle particle Swarm Optimization 改进的分层结构多粒子群算法

2012 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (STUDENT) Pub Date : 2012-10-01 DOI: 10.1109/STUDENT.2012.6408404

Chong Kok Hen, J. K. Paw, Yong Sue Ann, Koo Wai Yan

引用次数: 0

Improved combined mutation clonal selection algorithm 改进的组合突变克隆选择算法

2012 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (STUDENT) Pub Date : 2012-10-01 DOI: 10.1109/STUDENT.2012.6408402

J. K. Paw, Chong Kok Hen, Koo Wai Yan, Yong Sue Ann

引用次数: 0

Modeling financial ratios of Malaysian plantation stocks using Bayesian Networks 使用贝叶斯网络建模马来西亚种植园库存的财务比率

2012 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (STUDENT) Pub Date : 2012-10-01 DOI: 10.1109/STUDENT.2012.6408352

Chon Sern Tan, Chin Khian Yong, Yong Haur Tay

{"title":"Modeling financial ratios of Malaysian plantation stocks using Bayesian Networks","authors":"Chon Sern Tan, Chin Khian Yong, Yong Haur Tay","doi":"10.1109/STUDENT.2012.6408352","DOIUrl":"https://doi.org/10.1109/STUDENT.2012.6408352","url":null,"abstract":"This project explored the potential of Bayesian Networks in modeling financial ratios of Malaysian plantation stocks. Financial ratio is a crucial part of fundamental analysis which involves analyzing a company's financial statements to gain insights on its financial condition, future performance and aid decision-making in stock investment. Meanwhile, Bayesian Network is a popular graphical and probabilistic tool that is useful for reasoning under uncertainty in real life situations. The prospect of using Bayesian Network to model financial ratios in fundamental analysis is therefore explored in this project in the context of the Malaysian plantation industry. Using the local stock market data, relationships among financial ratios and stock price changes are modeled in a Bayesian Network, which will then be used to provide assistance in stock buying decision by predicting the stock price changes given observations of financial ratios. The network's reliability is tested on real data based on the counts of correct predictions and also comparison of portfolio mean return to that of a random portfolio. The resulting network is found to be reasonably reliable as it consistently predicted price changes correctly more than half of the times and also outperformed the random portfolios.","PeriodicalId":282263,"journal":{"name":"2012 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (STUDENT)","volume":"231 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132683444","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: 11

Machine design for Gauge Repeatability and Reproducibility measurement of vision modules 用于测量视觉模块重复性和再现性的机器设计

2012 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (STUDENT) Pub Date : 2012-10-01 DOI: 10.1109/STUDENT.2012.6408424

Y. Chuah, J. Tan

引用次数: 1

Optimizing job scheduling for computational grid based on firefly algorithm 基于萤火虫算法的计算网格作业调度优化

2012 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (STUDENT) Pub Date : 2012-10-01 DOI: 10.1109/STUDENT.2012.6408373

A. Yousif, A. Abdullah, S. Nor, M. Bashir

引用次数: 10

Breakdown characteristics and optically visible discharge paths of surface flashover 表面闪络击穿特性和光学可见放电路径

2012 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (STUDENT) Pub Date : 2012-10-01 DOI: 10.1109/STUDENT.2012.6408376

C. Gomes, V. Cooray, M. Rahman

引用次数: 6

Comparison of boiler plant model and real plant responses based on proportional Integral controller 基于比例积分控制器的锅炉厂模型与实际响应的比较

2012 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (STUDENT) Pub Date : 2012-10-01 DOI: 10.1109/STUDENT.2012.6408377

A. Emhemed, R. Mamat, D. Hanafi

引用次数: 3

Multiobjective quantum-inspired evolutionary programming for optimal location and sizing of distributed generation 分布式发电最优选址和规模的多目标量子进化规划

2012 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (STUDENT) Pub Date : 2012-10-01 DOI: 10.1109/STUDENT.2012.6408410

Z. M. Yasin, T. Rahman, Z. Zakaria

{"title":"Multiobjective quantum-inspired evolutionary programming for optimal location and sizing of distributed generation","authors":"Z. M. Yasin, T. Rahman, Z. Zakaria","doi":"10.1109/STUDENT.2012.6408410","DOIUrl":"https://doi.org/10.1109/STUDENT.2012.6408410","url":null,"abstract":"This paper presents Quantum-Inspired Evolutionary Programming (QIEP) technique to determine the optimal locations and sizing of multiple distributed generations (DG) in a distribution system. QIEP is an algorithm that employs the concept of quantum mechanics in the Evolutionary Programming (EP). Quantum-Inspired is implemented according to three levels defined by quantum individuals, quantum groups and quantum universe. The problem formulation is based on a multiobjective model in which the multiobjective are defined as reducing power losses, increasing maximum loadability limits and cost minimisation. Three cases are considered to test the effectiveness of the proposed technique namely single objective function, multiobjective function with fixed weighted sum and multiobjective function with randomly optimised weighted sum. The performances of the multiobjective QIEP optimisation technique were compared with those obtain from conventional evolutionary programming in terms of fitness values and computation time. The proposed study was conducted on the IEEE 69-bus distribution test system and the 141-bus distribution system.","PeriodicalId":282263,"journal":{"name":"2012 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (STUDENT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129893917","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: 11