• Korean Journal of Adult Nursing
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• v.20 no.4
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• pp.652-663
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• 2008

Purpose: This study was conducted to develop and test an explanatory model on functional capacity in patients with chronic obstructive pulmonary disease using path analysis. Methods: Data were collected from 149 chronic obstructive pulmonary disease patients using 6-minute walk test, measurement of oxygen saturation, pulmonary function test, and self-reported questionnaires from June to October, 2005. The collected data were analyzed using SPSS/WIN 12.0 program and AMOS/WIN 4.0 program. Results: The overall fitness indices of modified model were good($x^2$ = 14.324, p = .281 GFI = .981, RMSEA = .006, AGFI = .944, NFI = .927, NNFI = .999, CFI = .999, PNFI = .613, $x^2$/df = 1.194). Functional capacity was influenced directly by age(${\beta}$ = -.304, p = .000), dyspnea(${\beta}$ = -.278, p = .000), self-efficacy(${\beta}$ = .240, p = .000), social support(${\beta}$ = .175, p = .004), pulmonary function(${\beta}$ = .169, p = .008), and oxygen saturation(${\beta}$ = .099, p = .048). These variables explained 39.3% in functional capacity. Conclusion: The findings of this study suggest that comprehensive nursing interventions should focus on decreasing dyspnea and increasing self-efficacy, social support, and oxygen saturation. In this perspective, pulmonary rehabilitation would be an effective strategy for improving functional capacity in patients with chronic obstructive pulmonary disease.

• The Korean Journal of Applied Statistics
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• v.29 no.6
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• pp.1129-1145
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• 2016

Functional neuro-connectivity is one of the main issues in brain science in the sense that it is closely related to neurodynamics in the brain. In the paper, we choose fMRI as a main form of response data to brain activity due to its high resolution. We review methods for analyzing functional neuro-connectivity assuming that measurements are made on physiological responses to neuron activation. This means that we deal with a state-space and measurement model, where the state-space model is assumed to represent neurodynamics. Analysis methods and their interpretation should vary subject to what was measured. We included analysis results of real fMRI data by applying a high-dimensional autoregressive model, which indicated that different neurodynamics were required for solving different types of geometric problems.

• Journal of Microbiology and Biotechnology
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• v.11 no.5
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• pp.781-787
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• 2001

The binding of heavy metals by a biosorbent with binary functional groups was mathematically modeled. An FT-IR spectrophotometer analysis was employed to determine the stoichiometry between the protons in the functional groups of alginic acid and lead ions as a model system. The results calculated using an equilibrium constant agreed well with the experimental results obtained under various operating conditions, such as pH and metal ion concentration. It was also shown that the overall adsorption phenomenon of alginic acid was mainly due to its carboxyl groups. The equilibrium constants for each functional group successfully predicted the lead adsorption of ${\alpha}$-cellulose. Furthermore, the biosorption model could predict the adsorption phenomena of two metal ions, lead ions and calcium ions, relatively.

• Journal of the Korea Society of Computer and Information
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• v.21 no.12
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• pp.97-105
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• 2016

Network-Centric Operational Environment(NCOE) service becomes critical in today's military environment network because reusability of service and interaction are being increasingly important as well in business process. However, the refinement of service by semantic similarity and functional similarity at the business process was not detailed yet. In order to enhance accuracy of refining of business service, in this study, the authors introduce a method for refining service by semantic similarity and functional similarity in BPMN model. The business process are designed in a BPMN model. In this model, candidated services are refined through binding related activities by the analysis result of semantic similarity based on word-net and functional similarity based on properties specification between activities. Then, the services are identified through refining the candidated service. The proposed method is expected to enhance the service identification with accuracy and modularity. It also can accelerate more standardized service refinement developments by the proposed method.

• Journal of the Korea Institute of Military Science and Technology
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• v.20 no.2
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• pp.225-230
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• 2017

To generate mechanical movements in one-shot devices such as missiles and space launch vehicles, pyrotechnic mechanical device(PMD) such as pin pullers using pyrotechnic charge has been widely used. Reliability prediction of pin pullers is crucial to successfully execute target missions for the one-shot devices. Because the pin pullers require destructive tests to evaluate their reliability, one would need about 3,000 samples of success to guarantee a reliability of 99.9 % with a confidence level of 95 %. This paper suggests the application of a probit model using the charge amount as a functional parameter for estimation of functional reliability of pin puller. To guarantee target reliability, we propose estimation methods of the lower bound of functional reliability by applying the probit model. Given lower bound of functional reliability, we quantitatively show that the optimum amount of charge increases as the number of samples decreases. Along with a variety of simulations the validity of our new model via real test results is confirmed.

• Journal of the Korean Data and Information Science Society
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• v.27 no.6
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• pp.1645-1651
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• 2016

A lot of data, particularly in the medical field, contain variables that have a measurement error such as blood pressure and body mass index. On the other hand, recently smoothing methods are often used to solve a complex scientific problem. In this paper, we study a Bayesian curve-fitting under functional measurement error model. Especially, we extend our previous model by incorporating covariates free of measurement error. In this paper, we consider penalized splines for non-linear pattern. We employ a hierarchical Bayesian framework based on Markov Chain Monte Carlo methodology for fitting the model and estimating parameters. For application we use the data from the fifth wave (2012) of the Korea National Health and Nutrition Examination Survey data, a national population-based data. To examine the convergence of MCMC sampling, potential scale reduction factors are used and we also confirm a model selection criteria to check the performance.

• Journal of the Korean Operations Research and Management Science Society
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• v.31 no.3
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• pp.97-105
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• 2006

Brand Pricing is the most important issue for the brand manager in the dynamic market. in the typical dynamic pricing model, a linear function has been used based on the assumption that the non-Price Influences and the price influences were independent. However, to incorporate the characteristics of the dynamic market, it is natural to consider the multiplicative relationship. We are going to try the multiplicative linkage between the non-price Influences and the price influences and suggest a new dynamic pricing model with e multiplicative functional form. An empirical study of 19 brands in the Korean cigarette market shows the feasibility of the suggested model.

• Korean Journal of Remote Sensing
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• v.24 no.5
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• pp.417-425
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• 2008

An image-based atmospheric correction software ATC is implemented using MATLAB and SML (Spatial Modeler Language in ERDAS IMAGINE), and it was tested using Landsat TM/ETM+ data. This ATC has two main functional modules, which are composed of a semiautomatic type and an automatic type. The semi-automatic functional module includes the Julian day (JD), Earth-Sun distance (ESD), solar zenith angle (SZA) and path radiance (PR), which are programmed as individual small functions. For the automatic functional module, these parameters are computed by using the header file of Landsat TM/ETM+. Three atmospheric correction algorithms are included: The apparent reflectance model (AR), one-percent dark object subtraction technique (DOS), and cosine approximation model (COST). The ACT is efficient as well as easy to use in a system with MATLAB and SML.

• Proceedings of the IEEK Conference
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• 1998.10a
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• pp.755-758
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• 1998

As the performance of microprocessor improves, the design complexity grows exponentially. Therefor, it is very important to make the bug-free model as early as possible in a design life-cycle. This paper describes the simulation-based functional verification methodology for the RTL level description model. It is performed by multi-stage verification methods using extensive hand-generated self-checking tests supplemented with random tests. This approach is opplied to the functional verification of the GPU processor of Raptor and various bugs are detected.

• Convergence Security Journal
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• v.2 no.2
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• pp.9-17
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• 2002

Traffic engineering function consists of traffic management, capacity management and network planning. In this paper, we present the requirements for each functional traffic management, and also present functional and process model to efficiently to handle the traffic engineering for multimedia internet services. Finally, the traffic management methods for each step are described in detail.