2012 Sixth Asia Modelling Symposium最新文献

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Unearthing the Value of Sensor Information Systems for Managing Organizations IT Infrastructure 挖掘传感器信息系统对管理组织IT基础设施的价值
2012 Sixth Asia Modelling Symposium Pub Date : 2012-05-29 DOI: 10.1109/AMS.2012.37
A. Alaraifi
{"title":"Unearthing the Value of Sensor Information Systems for Managing Organizations IT Infrastructure","authors":"A. Alaraifi","doi":"10.1109/AMS.2012.37","DOIUrl":"https://doi.org/10.1109/AMS.2012.37","url":null,"abstract":"The main objective of this paper is to provide insights into the role of sensor technology in general, as well as into the value of Sensor Information Systems in particular, within the context of the data centers infrastructure management. The paper explores the current practices of sensor applications and Sensor Information Systems in the context of data centers. This has been done with the objective to identify the actual value recognized from using Sensor Information Systems within the current IT infrastructure management practice, which is an unexplored phenomenon. This leads to the introduction of the Data Center Sensor Information Systems (DCSIS) approach. Using content analysis of data gathered from five case studies, the study evaluates the practical value that DCSIS can add to the organizations as well as to data centers infrastructure management practice. The paper concludes by showing how DCSIS can bring operational, economic, environmental, business management and strategic value. This leads to elaboration on the contributions that DCSIS can make towards the management of organizations' IT infrastructure.","PeriodicalId":407900,"journal":{"name":"2012 Sixth Asia Modelling Symposium","volume":"03 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127232454","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: 2
Digital Image Steganography Based on Integer Wavelet Transform and Assignment Algorithm 基于整数小波变换和赋值算法的数字图像隐写
2012 Sixth Asia Modelling Symposium Pub Date : 2012-05-29 DOI: 10.1109/AMS.2012.15
Neda Raftari, A. Eftekhari-Moghadam
{"title":"Digital Image Steganography Based on Integer Wavelet Transform and Assignment Algorithm","authors":"Neda Raftari, A. Eftekhari-Moghadam","doi":"10.1109/AMS.2012.15","DOIUrl":"https://doi.org/10.1109/AMS.2012.15","url":null,"abstract":"In this paper, we present a new image steganography technique based on Integer Wavelet Transform (IWT) and Munkres' assignment algorithm which embeds secret image in frequency domain of cover image with high matching quality. IWT is used to transform both cover and secret images from spatial domain to frequency domain, and assignment algorithm is used for best matching between blocks for embedding. We embed the secret image in different coefficients of cover image bands such as horizontal detail, vertical detail and diagonal detail and observe the effect of embedding on the performance of stego image in terms of Peak Signal to Noise Ratio (PSNR). Experimental results depict that stego image and extracted secret image could have high visual quality and they are perceptually similar to their original versions. In addition, this method shows high robustness against six different attacks. Embedding in diagonal detail coefficients gives better PSNR than other coefficients.","PeriodicalId":407900,"journal":{"name":"2012 Sixth Asia Modelling Symposium","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117032929","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: 38
Proposing a Numerical Solution for the 3D Heat Conduction Equation 提出了三维热传导方程的数值解
2012 Sixth Asia Modelling Symposium Pub Date : 2012-05-29 DOI: 10.1109/AMS.2012.10
Mansour Al Qubeissi
{"title":"Proposing a Numerical Solution for the 3D Heat Conduction Equation","authors":"Mansour Al Qubeissi","doi":"10.1109/AMS.2012.10","DOIUrl":"https://doi.org/10.1109/AMS.2012.10","url":null,"abstract":"The current paper presents a numerical technique in solving the 3D heat conduction equation. The Finite Volume method is used in the discretisation scheme. Gauss's theorem has also been employed for solving the integral parts of the general heat conduction equation in solving problems of steady and unsteady states. The proposed technique is applicable to unstructured (tetrahedral) elements for dealing with domains of complex geometries. The validation cases of the developed, FORTRAN based, heat conduction code in 1D, 2D and 3D representations have been reviewed with a grid independence check. Comparisons to the available exact solution and a commercial software solver are attached to the manuscript.","PeriodicalId":407900,"journal":{"name":"2012 Sixth Asia Modelling Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128749832","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
Automatic Mood Classification Model for Indian Popular Music 印度流行音乐情绪自动分类模型
2012 Sixth Asia Modelling Symposium Pub Date : 2012-05-29 DOI: 10.1109/AMS.2012.19
Aniruddha M. Ujlambkar, V. Attar
{"title":"Automatic Mood Classification Model for Indian Popular Music","authors":"Aniruddha M. Ujlambkar, V. Attar","doi":"10.1109/AMS.2012.19","DOIUrl":"https://doi.org/10.1109/AMS.2012.19","url":null,"abstract":"Music shares a very special relation with human emotions. We often choose to listen to a song or music which best fits our mood at that instant. A lot of research and study has been going on in the field of Music mood recognition in the recent years. We contribute to make an effort for automatic identification of mood underlying the audio songs by mining their spectral and temporal audio features. Our current work involves analysis of various classification algorithms in order to learn, train and test the model representing the moods of the audio songs. The focus is on the Indian popular music pieces and our work continues to analyze, develop and improve the algorithms to produce a system to recognize the mood category of the audio files automatically. The experimental results show a satisfactory performance of the system in recognizing the music mood by using ensemble classification tree techniques.","PeriodicalId":407900,"journal":{"name":"2012 Sixth Asia Modelling Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129015193","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
Comparison of Different Methods for Emotion Classification 不同情绪分类方法的比较
2012 Sixth Asia Modelling Symposium Pub Date : 2012-05-29 DOI: 10.1109/AMS.2012.53
M. Molavi, J. Yunus, Ebrahim Akbari
{"title":"Comparison of Different Methods for Emotion Classification","authors":"M. Molavi, J. Yunus, Ebrahim Akbari","doi":"10.1109/AMS.2012.53","DOIUrl":"https://doi.org/10.1109/AMS.2012.53","url":null,"abstract":"This article proposed emotional features clustering from electroencephalographic (EEG) signals. Facial expression images induce emotional states, which include happy, neutral and sad faces. This paper examined the effect of expression facial stimuli on event-related potential (ERPs). Moreover, It also investigated the frequency band searching by comparison between two methods; the linear support vector machine (LSVM) and the Naive Bayes classifier method. Feature extraction was performed by common spatial patterns (CSP) to reduce the dimensions of data in the frequency domain. The results showed that both methods have an ability to classify the emotional features. LSVM had more accuracy than Naive Bayes classifier. Furthermore , the gamma band was the suitable frequency interval to detect arousal emotions. Nevertheless, the happy versus sad emotional features wereclassified with higher accuracy.","PeriodicalId":407900,"journal":{"name":"2012 Sixth Asia Modelling Symposium","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116156639","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
Multiple Moving Obstacles Avoidance for Humanoid Service Robot Using Stereo Vision  and Bayesian Approach 基于立体视觉和贝叶斯方法的仿人服务机器人多运动障碍物避障研究
2012 Sixth Asia Modelling Symposium Pub Date : 2012-05-29 DOI: 10.1109/AMS.2012.41
W. Budiharto, R. N. Rachmawati
{"title":"Multiple Moving Obstacles Avoidance for Humanoid Service Robot Using Stereo Vision  and Bayesian Approach","authors":"W. Budiharto, R. N. Rachmawati","doi":"10.1109/AMS.2012.41","DOIUrl":"https://doi.org/10.1109/AMS.2012.41","url":null,"abstract":"In this paper, we propose a robust multiple moving obstacles avoidance strategy using stereo vision for Humanoid Robot in indoor environment. We assume that this model of humanoid robot is used as a service robot to deliver a cup to customer from starting point to the destination. We have developed and introduced successfully three main modules to recognize faces, to identify obstacles and to maneuver. A group of people who are walking will be tracked as multiple moving obstacles. Predefined maneuver to avoid obstacles applied to robot because the limitation of view angle from stereo camera to detect obstacles. The contribution of this research is a new method for multiple moving obstacle avoidance strategy with Bayesian approach using stereo vision based on the direction and speed of obstacles. We present the results of the experiment of the humanoid robot called Gatotkoco II which uses our proposed method and we also evaluate its performance. The proposed moving obstacles avoidance strategy was tested empirically and proven effective for humanoid robot.","PeriodicalId":407900,"journal":{"name":"2012 Sixth Asia Modelling Symposium","volume":"283 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131572970","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
A Comparative Analysis of Multimodality Medical Image Fusion Methods 多模态医学图像融合方法的比较分析
2012 Sixth Asia Modelling Symposium Pub Date : 2012-05-29 DOI: 10.1109/AMS.2012.46
K. Parmar, R. Kher
{"title":"A Comparative Analysis of Multimodality Medical Image Fusion Methods","authors":"K. Parmar, R. Kher","doi":"10.1109/AMS.2012.46","DOIUrl":"https://doi.org/10.1109/AMS.2012.46","url":null,"abstract":"Medical image fusion has been used to derive useful information from multimodality medical image data. The idea is to improve the image content by fusing images like computer tomography (CT) and magnetic resonance imaging (MRI) images, magnetic resonance imaging (MRI) provides better information on soft tissue whereas computed tomography (CT) provides better information about denser tissue. Fusing these two types of images creates a composite image which is more informative than any of the input signals provided by a single modality. For this reason, image fusion has become a common process used within medical diagnostics and treatment. In this paper, Fast Discrete Curvelet Transform using Wrapper algorithm based image fusion technique, has been implemented, analyzed and compared with Wavelet based Fusion Technique. Fusion of images taken at different resolutions, intensity and by different techniques helps physicians to extract the features that may not be normally visible in a single image by different modalities. This work aims at fusion of registered CT and MRI Images. This fused image can significantly benefit medical diagnosis and also the further image processing such as, visualization (colorization), segmentation, classification and computer-aided diagnosis (CAD). The fusion performance is evaluated on the basis of the root mean square error (RMSE) and peak signal to noise ratio (PSNR).","PeriodicalId":407900,"journal":{"name":"2012 Sixth Asia Modelling Symposium","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132576775","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: 39
Design of a Power Oscillation Damper for DFIG-based Wind Energy Conversion System Using Modified Particle Swarm Optimizer 基于改进粒子群优化的dfig型风能转换系统功率振荡阻尼器设计
2012 Sixth Asia Modelling Symposium Pub Date : 2012-05-29 DOI: 10.1109/AMS.2012.9
Huazhang Huang, C. Chung
{"title":"Design of a Power Oscillation Damper for DFIG-based Wind Energy Conversion System Using Modified Particle Swarm Optimizer","authors":"Huazhang Huang, C. Chung","doi":"10.1109/AMS.2012.9","DOIUrl":"https://doi.org/10.1109/AMS.2012.9","url":null,"abstract":"This paper presents a method to design a Power Oscillation Damper (POD) for Double-Fed Induction Generator (DFIG) based Wind Energy Conversion System (WECS), operating with voltage control loop. Based on eigen values information from Small Signal Stability Analysis (SSSA), an objective function comprising damping ratio and real part of eigen values of electromechanical oscillatory modes is established for the further optimization. Modified Particle Swarm Optimizer (MPSO) is used to tune all the parameters of damping controller. With implementation of tuned POD, case study on modified Two-Area Four-Machine system has illustrated that proposed method effectively enhances dynamic stability of power system.","PeriodicalId":407900,"journal":{"name":"2012 Sixth Asia Modelling Symposium","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127433560","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
Feature Extraction of Kidney Ultrasound Images Based on Intensity Histogram and Gray Level Co-occurrence Matrix 基于强度直方图和灰度共生矩阵的肾脏超声图像特征提取
2012 Sixth Asia Modelling Symposium Pub Date : 2012-05-29 DOI: 10.1109/AMS.2012.47
W. M. Hafizah, E. Supriyanto, J. Yunus
{"title":"Feature Extraction of Kidney Ultrasound Images Based on Intensity Histogram and Gray Level Co-occurrence Matrix","authors":"W. M. Hafizah, E. Supriyanto, J. Yunus","doi":"10.1109/AMS.2012.47","DOIUrl":"https://doi.org/10.1109/AMS.2012.47","url":null,"abstract":"This study proposes an approach of feature extraction of kidney ultrasound images based on five intensity histogram features and nineteen gray level co-occurrence matrix (GLCM) features. Kidney ultrasound images were divided into four different groups; normal (NR), bacterial infection (BI), cystic disease (CD) and kidney stones (KS). Before feature extraction, the images were initially preprocessed for preserving pixels of interest prior to feature extraction. Preprocessing techniques including region of interest cropping, contour detection, image rotation and background removal, have been applied. Test result shows that kurtosis, mean, skewness, cluster shades and cluster prominence dominates over other parameters. After normalization, KS group has highest value of kurtosis (1.000) and lowest value of cluster shades (0.238) and mean (0.649) while NR group has highest value of mean (1.000), skewness (1.000), cluster shades (1.000) and cluster prominence (1.000). CD group has the lowest value of skewness (0.625) and BI has the lowest value of kurtosis (0.542). This shows that these features can be used to classify kidney ultrasound images into different groups for creating database of kidney ultrasound images with different pathologies.","PeriodicalId":407900,"journal":{"name":"2012 Sixth Asia Modelling Symposium","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115187050","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: 52
An Improved Leader Guidance in Multi Objective Particle Swarm Optimization 一种改进的多目标粒子群优化Leader引导方法
2012 Sixth Asia Modelling Symposium Pub Date : 2012-05-29 DOI: 10.1109/AMS.2012.29
Kian Sheng Lim, S. Buyamin, Anita Ahmad, Z. Ibrahim
{"title":"An Improved Leader Guidance in Multi Objective Particle Swarm Optimization","authors":"Kian Sheng Lim, S. Buyamin, Anita Ahmad, Z. Ibrahim","doi":"10.1109/AMS.2012.29","DOIUrl":"https://doi.org/10.1109/AMS.2012.29","url":null,"abstract":"Generally, Particle Swarm Optimization based Multi-Objective Optimization algorithm use only one leader to guide the particles flight in the velocity update. Thus, this paper introduces a Multi Leaders Multi Objective Optimization algorithm which is an initial implementation of multiple leaders in guiding the particles flight to search for optimum solutions. The multiple leaders' method is implemented by summing up all the distance between a particle and all of its leaders during velocity update The algorithm is tested on several benchmark test problems to measure its convergence and diversity ability in finding the best Pareto Front. The results show a promising and competitive performance when compared to the other algorithms.","PeriodicalId":407900,"journal":{"name":"2012 Sixth Asia Modelling Symposium","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116937615","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
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