2012 International Conference on Statistics in Science, Business and Engineering (ICSSBE)最新文献

A conceptual framework for ranking the multiple intelligences of people with epilepsy 对癫痫患者的多种智力进行排序的概念框架

2012 International Conference on Statistics in Science, Business and Engineering (ICSSBE) Pub Date : 2012-12-31 DOI: 10.1109/ICSSBE.2012.6396540

V. Rezaie, T. Ahmad, N. Maan, S. Awang, M. Khanmohammadi

引用次数: 5

Modification of systematic sampling: A comparison with a conventional approach in systematic sampling 系统抽样的修正:在系统抽样中与传统方法的比较

2012 International Conference on Statistics in Science, Business and Engineering (ICSSBE) Pub Date : 2012-12-31 DOI: 10.1109/ICSSBE.2012.6396525

M. Bujang, Puzziawait Ab Ghani, Nur Amirah Zolkepali, Mariana Mohamad Ali, T. Adnan, S. Selvarajah, J. Haniff

引用次数: 2

A comparison between convenience sampling versus systematic sampling in getting the true parameter in a population: Explore from a clinical database: The Audit Diabetes Control Management (ADCM) registry in 2009 方便抽样与系统抽样在人群中获得真实参数的比较:从临床数据库探索:2009年审计糖尿病控制管理(ADCM)登记

2012 International Conference on Statistics in Science, Business and Engineering (ICSSBE) Pub Date : 2012-12-31 DOI: 10.1109/ICSSBE.2012.6396615

M. Bujang, Puzziawati Ab Ghani, Nur Amirah Zolkepali, S. Selvarajah, J. Haniff

引用次数: 34

Optimal portfolio: “Empirical investigation of food industry listed in KLSE” 最优投资组合:“KLSE食品行业的实证研究”

2012 International Conference on Statistics in Science, Business and Engineering (ICSSBE) Pub Date : 2012-12-31 DOI: 10.1109/ICSSBE.2012.6396574

S. N. S. S. M. Shahruddin, Fauziah Hanim Tafri, N. Lazam

{"title":"Optimal portfolio: “Empirical investigation of food industry listed in KLSE”","authors":"S. N. S. S. M. Shahruddin, Fauziah Hanim Tafri, N. Lazam","doi":"10.1109/ICSSBE.2012.6396574","DOIUrl":"https://doi.org/10.1109/ICSSBE.2012.6396574","url":null,"abstract":"In earlier studies on optimum combination of stock focused mainly on stocks that only give high impact to the stock market. In contrast to previous studies, this research investigated on optimum combination of stock on food industry listed in Kuala Lumpur Stock Exchange (KLSE) which gives positive return during the challenging period. Hence how reliable is investing in the optimal portfolio of food industry and to compare the optimal combination of food industry. The data are obtained from Bloomberg of daily closing price of food industry listed in KLSE for the period within seven years starting from January 2002 to December 2008. In order to accommodate for the dynamic structure of the volatility in the market, a Generalized Autoregressive Conditionally Heteroscedastic (GARCH) model was applied to the Markowitz Portfolio Selection model to generate the covariance and correlation matrix. The result shows that about 14 of the food securities or 19 percent fall under the optimum portfolio out of 71 securities between years 2002 to 2006 and can be conclude that the optimum portfolio in food industry generate a positive return during the year 2002 to 2006 even though market show negative return.","PeriodicalId":106884,"journal":{"name":"2012 International Conference on Statistics in Science, Business and Engineering (ICSSBE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126784546","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

Stochastic FluSiM for influenza transmission dynamics 流感传播动力学的随机fluusim

2012 International Conference on Statistics in Science, Business and Engineering (ICSSBE) Pub Date : 2012-12-31 DOI: 10.1109/ICSSBE.2012.6396639

W. K. Tan, S. Y. Teh, H. Koh

{"title":"Stochastic FluSiM for influenza transmission dynamics","authors":"W. K. Tan, S. Y. Teh, H. Koh","doi":"10.1109/ICSSBE.2012.6396639","DOIUrl":"https://doi.org/10.1109/ICSSBE.2012.6396639","url":null,"abstract":"Influenza A (H1N1) global outbreak in 2009 highlighted the need to better understand the dynamics of influenza transmission. To assist health authorities in decision making during influenza pandemics, models are used to project the spread of influenza and to evaluate the cost benefit of intervention such as quarantine and vaccination. The deterministic epidemiology model SIR (susceptible-infectiverecovered) is widely used by the United States Centers for Disease Control and Prevention (US CDC) and many researchers. In USM, an in-house SIR model codenamed FluSiM was developed to track the evolution of influenza such as H1N1 in a specified population and to evaluate benefit of interventions. FluSiM has been validated using the 2009 Influenza A (H1N1) data for Malaysia. A more realistic analysis and projection of the spread of influenza can be obtained by incorporating biological and epidemiological heterogeneity into the model. In this paper, the in-house deterministic FluSiM model is enhanced into a stochastic model by allowing vital disease transmission process parameters, to randomly change with time, given specified means and standard deviations. These stochastic disease transmission parameters that control the progression of influenza follow a normal distribution within the reported range. This stochastic FluSiM model allows us to investigate the uncertainty of disease evolution from its onset. Simulation results of the stochastic FluSiM model show the general bell-shaped epidemic curve, but occasionally exhibit disease evolution that is beyond the range of deterministic SIR.","PeriodicalId":106884,"journal":{"name":"2012 International Conference on Statistics in Science, Business and Engineering (ICSSBE)","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128255446","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: 0

Dynamic responses of classic spar platforms subjected to long crested waves: Morison equation vs. Diffraction theory 经典梁平台在长波峰作用下的动力响应:莫里森方程与衍射理论

2012 International Conference on Statistics in Science, Business and Engineering (ICSSBE) Pub Date : 2012-12-31 DOI: 10.1109/ICSSBE.2012.6396620

V. J. Kurian, C. Ng, M. S. Liew

{"title":"Dynamic responses of classic spar platforms subjected to long crested waves: Morison equation vs. Diffraction theory","authors":"V. J. Kurian, C. Ng, M. S. Liew","doi":"10.1109/ICSSBE.2012.6396620","DOIUrl":"https://doi.org/10.1109/ICSSBE.2012.6396620","url":null,"abstract":"Morison equation, Froude Krylov theory and Diffraction theory are the common theories used to evaluate the wave force for offshore structures. The applicability of these theories is based upon the type and size of the member of the structures. Morison equation is normally used for small structures compared to wave length, while for large structures Diffraction theory needs to be applied. However, in many cases Morison equation has been used to obtain the wave forces for classic spars, which are large offshore structures installed in deepwater. This paper presents the results of numerical investigation of an offshore classic spar platform subjected to long crested waves. Two numerical simulations were developed by incorporating the Morison equation and Diffraction theory to obtain the wave forces. The classic spar was modeled as a rigid body with three degrees of freedom restrained by mooring lines. In the simulation, the mass, damping and stiffness matrices were evaluated at every time step. The equations of motion were formulated for the platform dynamic equilibrium and solved by using Newmark Beta method. The results were obtained in terms of Response Amplitude Operator (RAO) for surge, heave and pitch motions. The dynamic responses obtained were compared.","PeriodicalId":106884,"journal":{"name":"2012 International Conference on Statistics in Science, Business and Engineering (ICSSBE)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121317508","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

Statistical design and analysis of a test programme to assess the volatility characteristics of ethanol/gasoline blends 测试方案的统计设计和分析，以评估乙醇/汽油混合物的挥发特性

2012 International Conference on Statistics in Science, Business and Engineering (ICSSBE) Pub Date : 2012-12-31 DOI: 10.1109/ICSSBE.2012.6396542

P. Zemroch, C. Davenport, M. Evans, R. Stradling, K. Rose, B. Engelen, Steve McArragher

引用次数: 1

Revisiting Markowitz's Mean Variance analysis: A review from shariah perspective 重新审视马科维茨的均值方差分析:伊斯兰教法视角下的回顾

2012 International Conference on Statistics in Science, Business and Engineering (ICSSBE) Pub Date : 2012-12-31 DOI: 10.1109/ICSSBE.2012.6396577

Mohamad Hafiz Hazny, H. Hashim, A. Y. Yusof

引用次数: 5

Photovoltaic array modelling with P&O MPPT algorithm in MATLAB 基于MATLAB的P&O MPPT算法的光伏阵列建模

2012 International Conference on Statistics in Science, Business and Engineering (ICSSBE) Pub Date : 2012-12-31 DOI: 10.1109/ICSSBE.2012.6396616

F. Z. Hamidon, P. D. A. Aziz, N. M. Yunus

{"title":"Photovoltaic array modelling with P&O MPPT algorithm in MATLAB","authors":"F. Z. Hamidon, P. D. A. Aziz, N. M. Yunus","doi":"10.1109/ICSSBE.2012.6396616","DOIUrl":"https://doi.org/10.1109/ICSSBE.2012.6396616","url":null,"abstract":"Photovoltaic (PV) arrays are used in many terrestrial applications. It exhibits a non-linear i-v characteristic which electrical energy production is depending on typical conditions such as solar irradiance and temperature. For best utilizations, the PV arrays must be operated at their maximum power point (MPP) via good implementation of Maximum Power Point Tracking (MPPT) algorithm technique. It is important to be aware that the MPP varies with respect to the characteristic of PV arrays in various conditions as mentioned above. Thereby, a detailed simulation model of PV array by employing the most popular MPPT algorithm of Perturb & Observe (P&O) has been developed in MATLAB. This model allows characterizing the PV array in terms of different temperature and irradiance as variable parameters. The parameters' variations under Malaysian conditions are also being considered. The outputs of the model are i-v and p-v characteristics as well as the voltage, current and power at MPP of the PV array are simulated from MATLAB script file. The simulation results will be presented and analyzed in this paper.","PeriodicalId":106884,"journal":{"name":"2012 International Conference on Statistics in Science, Business and Engineering (ICSSBE)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124367860","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: 16

Estimate the risk with residual service life of rolling stock 用机车车辆剩余使用寿命估算风险

2012 International Conference on Statistics in Science, Business and Engineering (ICSSBE) Pub Date : 2012-12-31 DOI: 10.1109/ICSSBE.2012.6396517

Zaenab Kareem Abood Al-Ammar

引用次数: 0