• Title/Summary/Keyword: Valid Model

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SYNERGISTIC INTERACTION OF ENVIRONMENTAL TEMPERATURE AND MICROWAVES: PREDICTION AND OPTIMIZATION

  • Petin, Vladislav G.;Kim, Jin-Kyu;Kolganova, Olga I.;Zhavoronkov, Leonid P.
    • Journal of Radiation Protection and Research
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    • v.36 no.1
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    • pp.1-7
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    • 2011
  • A simple mathematical model of simultaneous combined action of environmental agents has been proposed to describe the synergistic interaction of microwave and high ambient temperature treatment on animal heating. The model suggests that the synergism is caused by the additional effective damage arising from an interaction of sublesions induced by each agent. These sublesions are considered to be ineffective if each agent is taken individually. The additional damage results in a higher body temperature increment when compared with that expected for an independent action of each agent. The model was adjusted to describe the synergistic interaction, to determine its greatest value and the condition under which it can be achieved. The prediction of the model was shown to be consistent with experimental data on rabbit heating. The model appears to be appropriate and the conclusions are valid.

A Study on the Process Capability Model of Knowledge Management (지식경영 프로세스 능력 모델 개발 연구)

  • Kim, Hyun-Soo
    • Asia pacific journal of information systems
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    • v.11 no.3
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    • pp.23-42
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    • 2001
  • Recently, knowledge management becomes a core management tool for efficient and effective organizations. However, there are little known researches on measuring knowledge management level. The objective of this paper is to develop a process capability model for knowledge management of an organization. We developed 5 stage process capability model for knowledge management. The 1st stage is the initial stage where no significant knowledge management activity is performed. The 2nd stage is the performed stage where planning and tracking activities are performed on organization level. The 3rd stage is the established, and the 4th stage is the predictable stage where processes and results of knowledge management can be predictable. Final stage is the optimizing stage where knowledge management process is continuously improved at an organizational level. We surveyed 37 korean companies to test the validity of the proposed stage model. Statistical tests show that the developed stage model of knowledge management is valid and sound in general conditions. The result of this study on process capability model can be a solid stepping stone for future works in this area.

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A Value-oriented System Integration Project Sizing and Cost Estimation Model (가치중심의 SI (System Integration) 사업 규모 및 비용산정 모형 구축 연구)

  • Kim, Hyun-Soo
    • Asia pacific journal of information systems
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    • v.8 no.3
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    • pp.101-118
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    • 1998
  • The purpose of this study is to construct a value-oriented sizing and cost estimation model for system integration projects. In particular, this study is to build a system architecture design and integration cost model, and a network design and implementation cost model. Unlike software development projects, system integration projects include knowledge-intensive professional services on system architecture and network design areas. Because of these work's high invisibility, the cost of these services is hard to estimate and measure. Therefore, we need to develop value-oriented cost models. This study presents 6 value-oriented cost models, and tests statistical significance of these models with real system integration project data. The results show that cost factors on these models are valid, and models are statistically significant. Future work is needed to integrate various cost models and apply the whole model to field projects to increase model's prediction accuracy.

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Analysis of Traumatic Brain Injury Using a Finite Element Model

  • Suh Chang-Min;Kim Sung-Ho;Oh Sang-Yeob
    • Journal of Mechanical Science and Technology
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    • v.19 no.7
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    • pp.1424-1431
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    • 2005
  • In this study, head injury by impact force was evaluated by numerical analysis with 3-dimensional finite element (FE) model. Brain deformation by frontal head impact was analyzed to evaluate traumatic brain injury (TBI). The variations of head acceleration and intra-cranial pressure (ICP) during the impact were analyzed. Relative displacement between the skull and the brain due to head impact was investigated from this simulation. In addition, pathological severity was evaluated according to head injury criterion (HIC) from simulation with FE model. The analytic result of brain damage was accorded with that of the cadaver test performed by Nahum et al.(1977) and many medical reports. The main emphasis of this study is that our FE model was valid to simulate the traumatic brain injury by head impact and the variation of the HIC value was evaluated according to various impact conditions using the FE model.

Estimation of Nonlinear Response for Moment Resisting Reinforced Concrete Frames Using Equivalent SDOF System (등가 1 자유도계에 의한 철근콘크리트 건물의 비선형 동적해석의 검토)

  • 전대한;노필성
    • Proceedings of the Earthquake Engineering Society of Korea Conference
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    • 2003.09a
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    • pp.205-212
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    • 2003
  • To evaluate the seismic performance of multistory building structures use an equivalent SDOF model. This paper presents a method of converting a MDOF system into an equivalent SDOF model. The principal objective of this investigation is to evaluate appropriateness of converting method through perform nonlinear time history analysis of a multistory building structures and an equivalent SDOF model. The hysteresis rules to be used an equivalent SDOF model is obtained from the pushover analysis. The conclusion of this study is following; A method of converting a MDOF system into an equivalent SDOF model through the nonlinear time history response analysis is valid. The representative lateral displacement of a moment resisting reinforced concrete frames is close to the height of the first modal participation vector $_1$$\beta$$_1$u}=1. It can be found that the hysteresis rule of an equivalent SDOF model have influence on the time history response. Therefore, it is necessary for selecting hysteresis rules to consider hysteresis characteristics of a moment resisting reinforced concrete frames.

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Antidumping case in the China's textile industry: A model building approach

  • Zhuo, Jun;Park, Yong H.
    • Asia Pacific Journal of Business Review
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    • v.3 no.2
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    • pp.67-87
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    • 2019
  • Anti-dumping instruments among trading partners have been the subject of research by both academicians and practitioners. This study attempts to establish an early-warning model of anti-dumping against Chinese textile exporting companies, which have suffered from anti-dumping regulations and got arbitration awards. After reviewing theories of anti-dumping arbitration, early-warning and relationship marketing, the measuring items and relationship marketing model of Chinese textiles exporters are investigated. Empirical methods are selected based on early-warning theories of companies. Eighty percent of 156 valid questionnaires by surveys and interviews are used as training data via Binary-Logistic regression while the other twenty percent are validated in the model. As a result, a proper early-warning model has been established.

Building and Validating An Integrated Model of Information Technology Capability of the Firm (자원관점에 기반한 정보기술 능력모델의 구축 및 평가에 대한 연구)

  • Kim, Gi-Mun;Lee, Ho-Geun;Kim, Kyung-Kyu
    • Asia pacific journal of information systems
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    • v.15 no.4
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    • pp.109-133
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    • 2005
  • The purpose of this study is to develop and validate a model of firm's IT capability based on IT resources such as IT infrastructure, IT personnel, and IT routine. To do this, the study defined IT capability as a third-order factor model and identified three conceptual dimensions of IT capability: IT infrastructure flexibility, IT personnel expertise, IT resource management capability, IT resource management capability indicates a capacity generated by IT routines, a new IT resource type identified in this study. The validity of the proposed model is evaluated with 243 firm level data using LISREL. The results of confirmatory factor analysis(CFA) demonstrated that the model is highly reliable and valid. Additionally, it was found that IT routines have a high potential as a new IT resource category.

DEVELOPMENT OF PREDICTION MODEL OF THE SHAPE OF DEPOSITED PARTICLES APPLIED FOR AEROSOL BASED DIRECT-WRITE TECHNOLOGY (Aerosol을 이용한 Direct-Write 시스템에서 침착된 입자의 형상예측 모델에 관한 연구)

  • Park, Jun-Jung;Baek, Seong-Gu;Rhee, Gwang-Hoon
    • Journal of computational fluids engineering
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    • v.13 no.1
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    • pp.1-6
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    • 2008
  • Direct Write Technologies are being utilized in various industrial fields such as antennas, engineered structures, sensors and tissue engineering. With Direct Write Technologies, producing features have the mesoscale range, from 1 to 100 microns. One form of the Direct Write Technologies is based on aerosol dynamics. The shape of deposited aerosols determine the form of products in the Direct Write Technology based on aerosol dynamics. To predict shape of deposited aerosol, a prediction model is created. In this study, we estimated Line-Width and Line-Thickness from the prediction model. Results of prediction model is valid from comparison with experimental results.

Effect of the Stagnation Temperature on the Normal Shock Wave

  • Zebbiche, Toufik
    • International Journal of Aeronautical and Space Sciences
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    • v.10 no.1
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    • pp.1-14
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    • 2009
  • When the stagnation temperature increases, the specific heat does not remain constant and start to vary with this temperature. The gas is perfect, it's state equation remains always valid, except, it was called by gas calorically imperfect or gas at high temperatures. The purpose of this work is to develop a mathematical model for a normal shock wave normal at high temperature when the stagnation temperature is taken into account, less than the dissociation of the molecules as a generalisation model of perfect for constant heat specific. A study on the error given by the perfect gas model compared to our model is presented in order to find a limit of application of the perfect gas model. The application is for air.

Optimal designs for small Poisson regression experiments using second-order asymptotic

  • Mansour, S. Mehr;Niaparast, M.
    • Communications for Statistical Applications and Methods
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    • v.26 no.6
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    • pp.527-538
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    • 2019
  • This paper considers the issue of obtaining the optimal design in Poisson regression model when the sample size is small. Poisson regression model is widely used for the analysis of count data. Asymptotic theory provides the basis for making inference on the parameters in this model. However, for small size experiments, asymptotic approximations, such as unbiasedness, may not be valid. Therefore, first, we employ the second order expansion of the bias of the maximum likelihood estimator (MLE) and derive the mean square error (MSE) of MLE to measure the quality of an estimator. We then define DM-optimality criterion, which is based on a function of the MSE. This criterion is applied to obtain locally optimal designs for small size experiments. The effect of sample size on the obtained designs are shown. We also obtain locally DM-optimal designs for some special cases of the model.