2013 IEEE Conference on Systems, Process & Control (ICSPC)最新文献_第6页

Energy performance and feasibility study for Thermal Energy Storage (TES) System at engineering complex UiTM Shah Alam 沙阿拉姆UiTM工程综合体热储能(TES)系统的能源性能和可行性研究

2013 IEEE Conference on Systems, Process & Control (ICSPC) Pub Date : 1900-01-01 DOI: 10.1109/SPC.2013.6735140

A. H. Kassim, Z. Zain, R. A. Hadi, I. Ismail

引用次数: 2

Classification of intelligence quotient using EEG sub-band power ratio and ANN during mental task 基于脑电子带功率比和神经网络的智力分类

2013 IEEE Conference on Systems, Process & Control (ICSPC) Pub Date : 1900-01-01 DOI: 10.1109/SPC.2013.6735132

A. H. Jahidin, Mohd Nasir Taib, N. Tahir, M. R. M. Ali, I. Yassin, S. Lias, R. M. Isa, W. Omar, N. Fuad

{"title":"Classification of intelligence quotient using EEG sub-band power ratio and ANN during mental task","authors":"A. H. Jahidin, Mohd Nasir Taib, N. Tahir, M. R. M. Ali, I. Yassin, S. Lias, R. M. Isa, W. Omar, N. Fuad","doi":"10.1109/SPC.2013.6735132","DOIUrl":"https://doi.org/10.1109/SPC.2013.6735132","url":null,"abstract":"It has been a long debate on conventional psychometric test as benchmark of individual's intelligence quotient (IQ). However, recent studies in a variety of neurophysiological researches have been done to link intelligence with individual's brainwave pattern. Hence this paper proposes an intelligent approach to classify IQ via brainwave sub-band power ratio and artificial neural network (ANN). Fifty samples of electroencephalogram (EEG) dataset have been collected during IQ test session. Three IQ levels have been categorized based on the IQ scores from Raven's Progressive Matrices as the control group. Left hemispheric brainwave focusing on theta, alpha and beta sub-bands are the key discussion of this paper. The features are used as input to train the ANN. Formerly, synthetic data have also been generated with white Gaussian noise to increase the performance of the classifier. Subsequently, the network model have been developed using an ANN that is trained with optimized parameters which are learning rate, momentum constant and hidden neurons. The network model trained with back-propagation algorithm has yielded low mean squared error (MSE). Findings also indicate that the distinct intelligence quotient levels can be classified with 97.62% training and 94.44% testing accuracies via brainwave sub-band power ratio.","PeriodicalId":198247,"journal":{"name":"2013 IEEE Conference on Systems, Process & Control (ICSPC)","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127463311","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: 15

Analysis of routing protocols of VoIP VPN over MPLS network 基于MPLS网络的VoIP VPN路由协议分析

2013 IEEE Conference on Systems, Process & Control (ICSPC) Pub Date : 1900-01-01 DOI: 10.1109/SPC.2013.6735120

R. Yunos, Siti Arpah Ahmad, N. M. Noor, R. M. Saidi, Zarina Zainol

引用次数: 8

The grading of agarwood oil quality using k-Nearest Neighbor (k-NN) 基于k-最近邻的沉香油质量分级

2013 IEEE Conference on Systems, Process & Control (ICSPC) Pub Date : 1900-01-01 DOI: 10.1109/SPC.2013.6735092

N. Ismail, M. Rahiman, M. Taib, N. A. Ali, M. Jamil, S. N. Tajuddin

引用次数: 6

Optimization of water quality monitoring based on fuzzy algorithms 基于模糊算法的水质监测优化

2013 IEEE Conference on Systems, Process & Control (ICSPC) Pub Date : 1900-01-01 DOI: 10.1109/SPC.2013.6735148

Saiful Azhar, H. Johar, S. Baki, N. Md. Tahir

引用次数: 2

An approach of halal poultry meat comparison based on mean-shift segmentation 基于均值偏移分割的清真禽肉比较方法

2013 IEEE Conference on Systems, Process & Control (ICSPC) Pub Date : 1900-01-01 DOI: 10.1109/SPC.2013.6735147

Mohd Amin Mansor, S. Baki, N. Tahir, R. A. Rahman

引用次数: 4

Fish flesh dielectric performance for toxicity detection 鱼肉介电性能毒性检测

2013 IEEE Conference on Systems, Process & Control (ICSPC) Pub Date : 1900-01-01 DOI: 10.1109/SPC.2013.6735134

H. Johar, S. Baki, Siti Hazurah Indera Putra, N. Md. Tahir

引用次数: 0

Construction of the interest prediction models for nursery school child using a single-channel electroencephalograph 利用单通道脑电图仪构建幼儿兴趣预测模型

2013 IEEE Conference on Systems, Process & Control (ICSPC) Pub Date : 1900-01-01 DOI: 10.1109/SPC.2013.6735118

S. Kanoga, Y. Mitsukura

{"title":"Construction of the interest prediction models for nursery school child using a single-channel electroencephalograph","authors":"S. Kanoga, Y. Mitsukura","doi":"10.1109/SPC.2013.6735118","DOIUrl":"https://doi.org/10.1109/SPC.2013.6735118","url":null,"abstract":"This paper aims to construct the interest prediction models for nursery school child using a single-channel electroencephalograph (EEG). Recently, the number of dual income households who leave their children in nursery schools have been increasing in Japan. Such parents are not able to grasp their children's behavior in daily life. Considering these issues, the researches related to child behavioral analysis have been proceeded by using image data taken from digital cameras. However, it is difficult to acquire the behavioral information from the digital cameras at anytime, anywhere. Therefore, we are focusing on wearable systems for keeping an eye on a child. Specifically, we adopt the EEG to design the constructing system. In this paper, we acquire single-channel EEG recordings from nursery school children when they watch picture-story shows. Furthermore, we apply a non-negative matrix factorization (NMF) to artifactitious rejection and a genetic algorithm-partial least squares (GA-PLS) regression to detect important frequency components and design the interest prediction models for the child using a single-channel EEG. As a result, we showed that over 60% estimation accuracy could be obtained all except one subject and the specific combinations of the frequency components selected by the GA-PLS, and we also could confirm that the NMF could remove the eye blink artifacts.","PeriodicalId":198247,"journal":{"name":"2013 IEEE Conference on Systems, Process & Control (ICSPC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115209117","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: 1

Poor DNA gel electrophoresis image enhancement: Spatial vs. frequency domain filters 差DNA凝胶电泳图像增强:空间与频域滤波器

2013 IEEE Conference on Systems, Process & Control (ICSPC) Pub Date : 1900-01-01 DOI: 10.1109/SPC.2013.6735127

Ros Surya Taher, N. Jamil, Sharifalillah Nordin, Fakhrul Hazman Yusof, Umikalsum Mohamed Bahari

{"title":"Poor DNA gel electrophoresis image enhancement: Spatial vs. frequency domain filters","authors":"Ros Surya Taher, N. Jamil, Sharifalillah Nordin, Fakhrul Hazman Yusof, Umikalsum Mohamed Bahari","doi":"10.1109/SPC.2013.6735127","DOIUrl":"https://doi.org/10.1109/SPC.2013.6735127","url":null,"abstract":"This paper presents the enhancement of poor electrophoresis gel image for lane and band detection. In plants, the DNA gel electrophoresis was performed for analytical purposes to identify the banding patterns of DNA base pair, which can reveal the genetic relatedness, identify the plants genomic and many more. Due to the quality and pattern of the images, the lane and band detection in the DNA gel images present a great challenge to computer interpretation. The image enhancement is performed using two different filters that are spatial and frequency filter. The two approaches are compared, which the expectation from the enhanced image is the detection of lanes can be conducted properly and accurately before performing further analysis to detect the bands. Forty-six of poor quality plant DNA gel images in .jpeg format with different size were used in this study. The quality of the enhanced images was accessed and evaluated using objective image quality metric, the peak signal-to-noise ratio (PSNR). The results that were obtained show that spatial domain filtering is a promising approach in the enhancement process of the poor DNA gel images.","PeriodicalId":198247,"journal":{"name":"2013 IEEE Conference on Systems, Process & Control (ICSPC)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127314235","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

Livestock information system using Android Smartphone 基于Android智能手机的畜牧信息系统

2013 IEEE Conference on Systems, Process & Control (ICSPC) Pub Date : 1900-01-01 DOI: 10.1109/SPC.2013.6735123

M. Ariff, I. Ismail

引用次数: 9