2011 IEEE Student Conference on Research and Development最新文献_第3页

The optimal fuzzy c-regression models (OFCRM) in miles per gallon of cars prediction 最优模糊c回归模型(OFCRM)在汽车每加仑行驶里程预测中的应用

2011 IEEE Student Conference on Research and Development Pub Date : 2011-12-01 DOI: 10.1109/SCORED.2011.6148760

Mohd Saifullah Rusiman, E. Nasibov, Robiah Adnan

{"title":"The optimal fuzzy c-regression models (OFCRM) in miles per gallon of cars prediction","authors":"Mohd Saifullah Rusiman, E. Nasibov, Robiah Adnan","doi":"10.1109/SCORED.2011.6148760","DOIUrl":"https://doi.org/10.1109/SCORED.2011.6148760","url":null,"abstract":"The fuzzy c-regression models (FCRM) have been known to be used in order to fit models with a certain type of mixed data. In this study, we proposed new optimal FCRM models (OFCRM). In order to obtain the least mean square error (MSE), we proposed modification of wi(x), the backward elimination method and the adjustment of the fuzzifier (w). The wi(x) is found by using the matrix Wi in weighted least-square (WLS) method. The backward elimination method is used in the variable selection in the OFCRM models, whereas the fuzzifier, w is adjusted by putting in various values of w (between 1 and 3). The OFCRM models are tested to the simulated data and the OFCRM models can approximate the given nonlinear system with a higher accuracy. In this study, the fuel consumption of different cars in miles per gallon (MPG) with eight independent variables were predicted using the OFCRM models. It was found that all variables are significant and w= 1.502 is the best fuzzifier value to be used in OFCRM models. The comparison among multiple linear regression (MLR) model, FCRM models and OFCRM models were done to find the best model by using the mean square error (MSE). It was found that the OFCRM models with the lowest MSE (MSE=3.106) tends to be the best model if compared to the MLR model (MSE=8.24) and FCRM models (MSE=7.848). This new technique has been found to have great capabilities and more reliable in predicting the dependent variable.","PeriodicalId":383828,"journal":{"name":"2011 IEEE Student Conference on Research and Development","volume":"162 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122922440","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

Power efficient high performance modular hardware accelerator architecture 高效节能的模块化硬件加速器架构

2011 IEEE Student Conference on Research and Development Pub Date : 2011-12-01 DOI: 10.1109/SCORED.2011.6148766

T.C. Tan, M. T. Mustaffa, C.H. Teh, W.L. Leow

引用次数: 0

Secure partial secret key issuing in Certificateless Public Key Infrastructure 在无证书公钥基础设施中保证部分秘密密钥的安全发布

2011 IEEE Student Conference on Research and Development Pub Date : 2011-12-01 DOI: 10.1109/SCORED.2011.6148712

Seyedehnegin Mehrasa, N. M. Ahmad, Alireza Khorram, A. H. Yaacob

引用次数: 1

Introduction to the pico hydro power and the status of implementation in Malaysia 介绍微型水力发电在马来西亚的实施情况

2011 IEEE Student Conference on Research and Development Pub Date : 2011-12-01 DOI: 10.1109/SCORED.2011.6148751

M. F. Basar, A. Ahmad, N. Hasim, K. Sopian

引用次数: 30

Improving dynamic response of wind turbine driven DFIG with novel approach 改进风力机驱动DFIG动态响应的新方法

2011 IEEE Student Conference on Research and Development Pub Date : 2011-12-01 DOI: 10.1109/SCORED.2011.6148770

Mostafa Eidiani, Natan Asghari Shahdehi, H. Zeynal

引用次数: 6

Broadside radiation synthesis of Concentric Circular Antenna Array using Improved Particle Swarm Optimization 基于改进粒子群算法的同心圆天线阵宽侧辐射合成

2011 IEEE Student Conference on Research and Development Pub Date : 2011-12-01 DOI: 10.1109/SCORED.2011.6148731

D. Mandal, Dibbendu Roy, R. Kar, S. Ghoshal

引用次数: 1

Torque characteristics of small size single and double stator brushless permanent magnet motor 小型单定子和双定子无刷永磁电机转矩特性研究

2011 IEEE Student Conference on Research and Development Pub Date : 2011-12-01 DOI: 10.1109/SCORED.2011.6148707

R. N. Firdaus, M. Norhisam, N. Mariun, I. Aris, D. Ahmad, M. Nirei, H. Wakiwaka

引用次数: 3

A phoneme based sign language recognition system using 2D moment invariant interleaving feature and Neural Network 基于二维不变交错特征和神经网络的手语音素识别系统

2011 IEEE Student Conference on Research and Development Pub Date : 2011-12-01 DOI: 10.1109/SCORED.2011.6148718

M. Paulraj, S. Yaacob, M. S. Zanar Azalan, R. Palaniappan

{"title":"A phoneme based sign language recognition system using 2D moment invariant interleaving feature and Neural Network","authors":"M. Paulraj, S. Yaacob, M. S. Zanar Azalan, R. Palaniappan","doi":"10.1109/SCORED.2011.6148718","DOIUrl":"https://doi.org/10.1109/SCORED.2011.6148718","url":null,"abstract":"Sign language recognition is one of the most promising sub-fields in gesture recognition research. A sign language is a language which, instead of acoustically conveyed sound patterns, uses visually transmitted sign patterns. Sign languages are commonly developed for hearing impaired communities, which can include interpreters, friends and families of hearing impaired people as well as people who are hard of hearing themselves. Developing a sign language recognition system will help the hearing impaired to communicate more fluently with the normal people. A simple sign language recognition system employing skin color segmentation and Neural Network has been developed. A simple segmentation process is carried out to separate the right and left hand regions from the image frame and in the preprocessing stage a simple vertical interleaving method has been proposed to reduce the size of the image. The 2D moment invariant features of the right and left hand interleaved image is obtained as features. Using the interleaved 2D-moment Invariant features, a simple neural network model has been developed. The system has been implemented and tested for its validity. Experimental results show that the system has a recognition rate of 92.58%.","PeriodicalId":383828,"journal":{"name":"2011 IEEE Student Conference on Research and Development","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130662600","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

A study of GI-less in Parallel Transmission for OFDM system OFDM系统并行传输中GI-less的研究

2011 IEEE Student Conference on Research and Development Pub Date : 2011-12-01 DOI: 10.1109/SCORED.2011.6148710

M. Z. Ismail, Ali Abdul Halim

引用次数: 1

An intelligent vision system for object localization and obstacle avoidance for an indoor service robot 一种用于室内服务机器人目标定位和避障的智能视觉系统

2011 IEEE Student Conference on Research and Development Pub Date : 2011-12-01 DOI: 10.1109/SCORED.2011.6148719

C. Hema, M. Paulraj, A. H. Adom, K. Sim, R. Palaniappan

引用次数: 4