• Journal of the Korean Ceramic Society
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• v.32 no.8
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• pp.957-965
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• 1995

The ionic conductivityof NASICON solid electrolytes was simulated by using Monte Carlo Method (MCM) based on a hopping model as functions of temoperature and composition. Two conduction paths were used : jumping from Na1 to Na2 and jumping from Na1 to Na2 and jumping from Na2 to Na2. Vacancy availability factor, V was affected by composition, temperature and the conduction paths. For β"-Alumina, it was known that the minimum of charge correlation factor, fc appears at the composition, p=0.5, but there was not shown the minimum of fc for NASICON. When the NASICON composition, x, approaches 2.5, the curve of In σT vs. 1/T* was shown Arrhenius behavior and also In (VWfc) was a linear function of 1/T*. The results of simulations on the considered conduction paths didn't agree with the experimental results. Thus it will be necessary to include the another Na sites as mid-Na site on the conduction path to obtain the better results.

• Journal of the Korean Society for Heat Treatment
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• v.2 no.4
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• pp.40-46
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• 1989

The hardenability of steel is related to its chemical composition. About this relationship, multiple regression analysis of hardenability data was proposed to explain the effect of chemical composition on a hardenability of steel. To establish the formula for calculation hardenability, given hardenability curve(U.S.S. Atlas) were quantitatively analyzed by multiple regression analysis program of computer. The established hardenability model was applied to predict the hardenability of commercial steel fair well. The effect of chemical composition was also expressed quantitatively.

• Communications for Statistical Applications and Methods
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• v.23 no.6
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• pp.517-529
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• 2016

This study compares the inverse transform and the composition methods for generating data from the Lindley distribution. The expression for the inverse of the distribution function for the Lindley distribution does not exist in closed form. Hence, authors of many empirical studies on the Lindley distribution used methods for generating Lindley variates other than the inverse transform. We generated data from the Lindley distribution using the inverse transform approach by obtaining the Lindley variates numerically; we also generated data from this distribution using the composition approach. Following the generation of the Lindley variates using these two methods, we compare some statistical properties of the estimates of the Lindley model parameters based on the generated data. We conclude that the two methods produce similar results.

• Journal of Advanced Navigation Technology
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• v.17 no.3
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• pp.292-297
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• 2013

In this paper, The design of digital circuits for chaotic composition function which is used for the key-stream generator is studied in this work. The overall design concept and procedure due to the mathematical model of chaotic key-stream generator is to be the explained in detail, and also the discretized truth table of chaotic composition function is presented in this paper. consequently, a composition state machine based on the compositive map with connecting two types of one dimensional and two dimensional chaotic maps together is designed and presented.

• International Journal of Advanced Culture Technology
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• v.9 no.1
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• pp.1-6
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• 2021

This study aims to test the relationship between the change in population size and population composition and crime changes. The analytical model includes variables representing changes in population size and population composition, three dependent variables for crime changes, and three control variables. Changes in popuvpdllation size and population composition are measured by indicators such as population size, gender, age groups, and immigrants and foreign workers, and crime changes by felonious, burglary, and violent crime volumes. The sample includes 154 cities and counties in South Korea, and the sample period is from 2010 to 2017. As a result of the analysis, I examine that the decrease in the number of young and men are likely to lead to a decline in felonious and violent crimes, but a high rate of the elderly and the increasing racial heterogeneity are likely to accelerate the fear and worries about crimes.

• Journal of Mushroom
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• v.14 no.3
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• pp.111-118
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• 2016

The medium used for bottle cultivation of mushrooms is made according to a specific workflow; this includes mixing the raw materials, adjusting the moisture content, placing the mixture into bottles, and sterilizing and cooling the medium. Medium composition should be kept constant throughout the year. placed in the bottle, choice of materials, moisture content, weight of the medium, bulk density, nitrogen content, three-phase medium, such as suitable conditions. To achieve constant medium composition a comprehensive model has been established in accordance with the technology developed in the work process with respect to medium compositions piecemeal. By comprehensively applying the various methods to establish medium composition, our country can expect to grow at over four seasons and overcome the many difficulties in mushroom mycelial growth periods, cultivation periods, quantity, and quality.

• The KIPS Transactions:PartB
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• v.14B no.3 s.113
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• pp.199-214
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• 2007

Recently, there have been a lot of works trying to realize automated composition of semantic web services though application of AI planning techniques. The traditional AI planning techniques, however, have some limitations: it is not easy to represent a web service process with complex control constructs as an action or a plan; it is hardly possible to consider enough the rich information contained in domain ontologies during the planning process; it is impossible to model directly the data flow from the outputs of a web service to the inputs of another web service; it is difficult to predict and deal with uncertainty and dynamics of the environment because the plan generation phase is supposed to be separated from the plan execution phase. In order to overcome some of these limitations, this paper suggests a reactive planning approach to automated composition of semantic web services. Through some experiments using several e-commerce web services, we found that the reactive planning is an effective way to realize automated composition of semantic web services.

• International journal of advanced smart convergence
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• v.13 no.2
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• pp.130-135
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• 2024

The Stable diffsuion AI tool is popular among designers because of its flexible and powerful image generation capabilities. However, due to the diversity of its AI models, it needs to spend a lot of time testing different AI models in the face of different design plans, so choosing a suitable general AI model has become a big problem at present. In this paper, by comparing the AI images generated by two different Stable diffsuion models, the advantages and disadvantages of each model are analyzed from the aspects of the matching degree of the AI image and the prompt, the color composition and light composition of the image, and the general AI model that the generated AI image has an aesthetic sense is analyzed, and the designer does not need to take cumbersome steps. A satisfactory AI image can be obtained. The results show that Playground V2.5 model can be used as a general AI model, which has both aesthetic and design sense in various style design requirements. As a result, content designers can focus more on creative content development, and expect more groundbreaking technologies to merge generative AI with content design.

• Archives of Pharmacal Research
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• v.10 no.4
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• pp.250-257
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• 1987

The development of physiologically based pharmacokinetic model for drug distribution and excretion is described. The physiological modeling procedure is useful in animal and clinical applications to obtain fundamental knowledge of the transport and metabolism of a substance in vivo. In this paper a review of physiologically based pharmacokinetics is presented in the hope of understanding and increasing the use of this modelling technique. The method of model development and the composition of equations based on the different models are explained. For the better understanding a physiological pharmacokinetic model of tenoxicam disposition in the rat is presented as an example of flow limited model.

• Korea Journal of Hospital Management
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• v.25 no.4
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• pp.60-75
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• 2020

Purpose: This study aims to develop a cost model for NRP (Nursing Residency Program) operation and ultimately provide evidence for financial factors for NRP operation in the future by simulating a cost model. Methodology: This study developed a model for the NRP education cost calculation model based on the review of Hansen's model, which has systematically reported on the development and operation of NRP, and discussions with nursing education experts at a university-affiliated hospital. With the simulation, it was intended to predict nurses' supply and demand in the long term and to calculate changes in long-term education costs. Findings: Firstly, turnover model, term model, cost model necessary for calculating a model for the NRP education cost calculation model was set up. Secondly, the simulation showed the following results; 1) the proportion of newly graduated nurses less than 5 years of working decreases gradually over time, which will make the composition of nurses more balanced. 2) In the first year of the partial introduction of NRP, the cost of training new nurses was about 2.1 times higher than before. After the introduction, the training cost in the 13th year began to be lesser than before the introduction, and in the 25th year, it decreased by 28.1% compared to before the introduction. Practical Implications: Firstly, NRP would be an effective way to solve the higher turnover and frequent departure of new nurses and the imbalance of nurses' composition. Secondly, although the costs of NRP are incurred in the early stages, in the end, NRP training costs are reduced compared to before the introduction of NRP. It is necessary to systematically understand the contribution effect of NRP by analyzing the economic value of NRP considering financial and non-monetary returns in the future and providing a basis for decision-making related to NRP implementation.