2011 Third International Conference on Computational Intelligence, Modelling & Simulation最新文献_第3页

Audio-Emotion Recognition System Using Parallel Classifiers and Audio Feature Analyzer 基于并行分类器和音频特征分析器的音频情感识别系统

2011 Third International Conference on Computational Intelligence, Modelling & Simulation Pub Date : 2011-09-20 DOI: 10.1109/CIMSIM.2011.44

Li Wern Chew, K. Seng, L. Ang, Vish Ramakonar, Amalan Gnanasegaran

引用次数: 17

Motion Detection and Analysis with Four Different Detectors 四种不同检测器的运动检测与分析

2011 Third International Conference on Computational Intelligence, Modelling & Simulation Pub Date : 2011-09-20 DOI: 10.1109/CIMSIM.2011.18

Ching Yee Yong, R. Sudirman, K. Chew

引用次数: 32

Sizing of Required Photovoltaic Array for a Building in Malaysia with Matlab 用Matlab计算马来西亚某建筑所需光伏阵列的尺寸

2011 Third International Conference on Computational Intelligence, Modelling & Simulation Pub Date : 2011-09-20 DOI: 10.1109/CIMSIM.2011.57

H. N. Afrouzi, Saeed Vahabi Mashak, K. Mehranzamir, B. Salimi

{"title":"Sizing of Required Photovoltaic Array for a Building in Malaysia with Matlab","authors":"H. N. Afrouzi, Saeed Vahabi Mashak, K. Mehranzamir, B. Salimi","doi":"10.1109/CIMSIM.2011.57","DOIUrl":"https://doi.org/10.1109/CIMSIM.2011.57","url":null,"abstract":"This article illustrates a simulation method to find a sizing and economic of a required photovoltaic array for a photovoltaic building in Malaysia. This paper represents the result using by Matlab software. It is known that the important factor for photovoltaic system is cost of a system, and because of several kinds of the photovoltaic array we have the right to elect the best array with the best efficiency. The popular types of materials are crystalline and thin films, which have differences in terms of light absorption efficiency, energy conversion efficiency, manufacturing technology and cost of production. Different kinds of crystalline materials like a mono-crystalline, polycrystalline are available. In this paper, the generated current and generated power by the photovoltaic array is calculated according to daily solar irradiation when the case study is Malaysia. Think over generated power of each array's and also according to required energy for a typically building, the number of photovoltaic array is estimated then the cost of the solar array is calculated. System is simulated by Matlab software, and the results are discussed. The simulation is about sizing in order to select the best array for photovoltaic system to have a optimize system according to size of the system.","PeriodicalId":125671,"journal":{"name":"2011 Third International Conference on Computational Intelligence, Modelling & Simulation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128667406","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

Fuzzy Gain-Scheduling Nonlinear Parametric Uncertain System 模糊增益调度非线性参数不确定系统

2011 Third International Conference on Computational Intelligence, Modelling & Simulation Pub Date : 2011-09-20 DOI: 10.1109/CIMSIM.2011.31

Ebrahim A. Mattar, K. Mutib

引用次数: 0

Multibranch Regenerative DF Wireless Relay Networks under Channel Uncertainty and Node Geometry 信道不确定性和节点几何下的多分支再生DF无线中继网络

2011 Third International Conference on Computational Intelligence, Modelling & Simulation Pub Date : 2011-09-20 DOI: 10.1109/CIMSIM.2011.73

Kanghee Lee, H. Kwon, Y. Ibdah, Mansik Jo, T. Emami, Inha Hyun

引用次数: 2

Application of ANFIS in Predicting TiAlN Coatings Flank Wear ANFIS在TiAlN涂层侧面磨损预测中的应用

2011 Third International Conference on Computational Intelligence, Modelling & Simulation Pub Date : 2011-09-20 DOI: 10.1109/CIMSIM.2011.20

A. Basari, A. Jaya, M. R. Muhamad, M. Rahman, S. Hashim, H. Haron

{"title":"Application of ANFIS in Predicting TiAlN Coatings Flank Wear","authors":"A. Basari, A. Jaya, M. R. Muhamad, M. Rahman, S. Hashim, H. Haron","doi":"10.1109/CIMSIM.2011.20","DOIUrl":"https://doi.org/10.1109/CIMSIM.2011.20","url":null,"abstract":"In this paper, a new approach in predicting the flank wear of Titanium Aluminum Nitrite (TiAlN) coatings using Adaptive Network Based Fuzzy Inference System (ANFIS) is implemented. TiAlN coated cutting tool is widely used in machining due to its excellent resistance to wear. The TiAlN coatings were formed using Physical Vapor Deposition (PVD) magnetron sputtering process. The substrate sputtering power, bias voltage and temperature were selected as the input parameters and the flank wear as an output of the process. A statistical design of experiment called Response Surface Methodology (RSM) was used in collecting optimized data. The ANFIS model was trained using the limited experimental data. The triangular, trapezoidal, bell and Gaussian shapes of membership functions were used for inputs as well as output. The results of ANFIS model were validated with the testing data and compared with fuzzy rule-based and RSM flank wear models in terms of the root mean square error (RMSE), co-efficient determination (R2) and model accuracy (A). The result indicated that the ANFIS model using three bell shapes membership function obtained better result compared to the fuzzy and RSM flank wear models. The result also indicated that the ANFIS model could predict the output response in high prediction accuracy even using limited training data.","PeriodicalId":125671,"journal":{"name":"2011 Third International Conference on Computational Intelligence, Modelling & Simulation","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125019752","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

Effect of Load Variations in DC-DC Converter DC-DC变换器中负载变化的影响

2011 Third International Conference on Computational Intelligence, Modelling & Simulation Pub Date : 2011-09-20 DOI: 10.1109/CIMSIM.2011.78

A. Husna, S. F. Siraj, M. H. Mat

引用次数: 6

A Mobile Camera Tracking System Using GbLN-PSO with an Adaptive Window 基于自适应窗口的GbLN-PSO移动摄像机跟踪系统

2011 Third International Conference on Computational Intelligence, Modelling & Simulation Pub Date : 2011-09-20 DOI: 10.1109/CIMSIM.2011.53

Z. Musa, R. A. Bakar, J. Watada

{"title":"A Mobile Camera Tracking System Using GbLN-PSO with an Adaptive Window","authors":"Z. Musa, R. A. Bakar, J. Watada","doi":"10.1109/CIMSIM.2011.53","DOIUrl":"https://doi.org/10.1109/CIMSIM.2011.53","url":null,"abstract":"The availability of high quality and inexpensive video camera, as well as the increasing need for automated video analysis is leading towards a great deal of interest in numerous applications. However the video tracking systems is still having many open problems. Thus, some of research activities in a video tracking system are still being explored. Generally, most of the researchers are used a static camera in order to track an object motion. However, the use of a static camera system for detecting and tracking the motion of an object is only capable for capturing a limited view. Therefore, to overcome the above mentioned problem in a large view space, researcher may use several cameras to capture images. Thus, the cost will increases with the number of cameras. To overcome the cost increment a mobile camera is employed with the ability to track the wide field of view in an environment. Conversely, mobile camera technologies for tracking applications have faced several problems; simultaneous motion (when an object and camera are concurrently movable), distinguishing objects in occlusion, and dynamic changes in the background during data capture. In this study we propose a new method of Global best Local Neighborhood Oriented Particle Swarm Optimization (GbLN-PSO) to address these problems. The advantages of tracking using GbLN-PSO are demonstrated in experiments for intelligent human and vehicle tracking systems in comparison to a conventional method. The comparative study of the method is provided to evaluate its capabilities at the end of this paper.","PeriodicalId":125671,"journal":{"name":"2011 Third International Conference on Computational Intelligence, Modelling & Simulation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130423937","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

Chokanan Mango Sweetness Determination Using HSB Color Space 利用HSB色空间测定芒果甜度

2011 Third International Conference on Computational Intelligence, Modelling & Simulation Pub Date : 2011-09-20 DOI: 10.1109/CIMSIM.2011.45

S. Khairunniza-Bejo, S. Kamarudin

{"title":"Chokanan Mango Sweetness Determination Using HSB Color Space","authors":"S. Khairunniza-Bejo, S. Kamarudin","doi":"10.1109/CIMSIM.2011.45","DOIUrl":"https://doi.org/10.1109/CIMSIM.2011.45","url":null,"abstract":"The objective of this research is to determine Chokanan mango sweetness by using color properties. Keyence machine vision system was used to capture mango images in HSB color space. Meanwhile, Digital AR2008 Abbe refract meter was used to obtain the value of sweetness. The process was divided into two major stages, the training stage and the testing stage. One hundred and eighty Chokanan mango images were used in this research. Fifty percent of the images were used during training stage and the other 50% were used during testing stage. In the training stage, the hue, saturation and brightness bands were analysed by using linear regression analysis. Based on the result, it has been shown that hue gave the highest value of correlation (-0.92). It also gave the lowest value of standard deviation when compared to the other bands. Therefore, it has been used as a model to determine the sweetness of Chokanan mango images. The results showed that the developed model can determine sweetness at Index 1 and Index 2 with 100% of accuracy and Index 3 with 87% of accuracy. In average, it can be used to determine the sweetness of Chokanan mango with 95.67% of accuracy.","PeriodicalId":125671,"journal":{"name":"2011 Third International Conference on Computational Intelligence, Modelling & Simulation","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130652597","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: 13

An Improved Two-Step Supervised Learning Artificial Neural Network for Imbalanced Dataset Problems 不平衡数据集问题的改进两步监督学习人工神经网络

2011 Third International Conference on Computational Intelligence, Modelling & Simulation Pub Date : 2011-09-20 DOI: 10.1109/CIMSIM.2011.28

H. Shamsudin, Asrul Adam, M. I. Shapiai, M. Basri, Z. Ibrahim, M. Khalid

引用次数: 4