• Journal of Korean Society on Water Environment
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• v.28 no.5
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• pp.646-656
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• 2012

This study area was Saemangeum Reservoir in Korea and the applied model was Environmental Fluid Dynamics Code(EFDC). It was the same as the scenarios to the boundary and initial conditions except the resolutions of the model grids. The resolutions were about 800 and 2,000 cells. It was considered scenario 1 and 2. The model was performed to simulate the water temperature, salinity, water quality parameters such as dissolved oxygen(DO), chemical oxygen demand(COD), total nitrogen(T-N), and total phosphorus(T-P) at 2008. The simulation results of the two scenarios were reflected in the trend of observed data tolerably. However, water flow, water temperature, and salinity showed high confidence level at the scenario 1. The water quality items did not present high confidence level at the scenario 1 because which concept was considered to biochemical and physical processes. This result shows that grid resolution has an influence on the water transport and the effect is reflected directly shallow and narrow water area. But, the selection of grid resolution should be considered the purpose of model simulation and the process of target items.

• Transactions of The Korea Fluid Power Systems Society
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• v.2 no.2
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• pp.1-7
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• 2005

For the reliability evaluation of the track drive unit(TDU), firstly, we analyzed the major failure modes through FMEA(failure mode & effects analysis), FTA(failure tree analysis), and 2-stage QFD(quality function deployment), and then quantitatively determined the priority order of test items. The Minitab analysis was also performed for prediction of life distribution and parameters of TDU by use of field failure data collected from 430 excavators for two years. In addition, we converted the fluctuation load in field conditions into the equivalent load, and for evaluation of the accelerated lift by the cumulative fatigues, the equivalent load is again divided into the fluctuation load by reference of test time. And then, by use of the test method in this paper, the acceleration factor(AF) of needle bearing inside planetary gear which is the most weakly designed part of TDU is achieved as 5.3. This paper presents the quantitative selection method of test items for reliability evaluation, the determination method of the accelerated life test time, and the method of non-failure test time based on a few of samples. And, we proved the propriety of the proposed methods by experiments using a TDU for a 30 ton excavator.

• Journal of Korean Institute of Industrial Engineers
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• v.1 no.2
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• pp.27-38
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• 1975

This paper explores a quantitative decision-making system for planning production, inventories and work-force in a multi-item production system. The Multi-item Parametric Decision Rule (MPDR) model, which assumes the existence of two types of linear feed-back rules, one for work-force level and one for production rates, is basically an extension of the existing method of Parametric Production Planning (PPP) proposed by C.H. Jones. The MPDR model, however, explicitly considers the effect of manufacturing progress and other factors such as employee turn-over, difference in work-days between month etc., and it also provides decision rules for production rates of individual items. First, the cost relations of the production system are estimated in terms of mathematical functions, and then decision rules for work-force level and production rates of individual items are establised based upon the estimated objective cost function. Finally, a direct search technique is used to find a set of parameters which minimizes the total cost of the objective function over a specified planning horizon, given estimates of future demands and initial values of inventories and work-force level. As a case problem, a hypothetical decision rule is developed for a particular firm (truck assembly factory).

• KIISE Transactions on Computing Practices
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• v.24 no.2
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• pp.93-98
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• 2018

Recommendation systems are used to provide items of interests for users to maximize a company's profit. Matrix factorization is frequently used by recommendation systems, based on an incomplete user-item rating matrix. However, as the number of items and users increase, it becomes difficult to make accurate recommendations due to the sparsity of data. To overcome this drawback, the use of text data related to items was recently suggested for matrix factorization algorithms. Furthermore, a word-level convolutional neural network was shown to be effective in the process of extracting the word-level features from the text data among these kinds of matrix factorization algorithms. However, it involves a large number of parameters to learn in the word-level convolutional neural network. Thus, we propose a matrix factorization algorithm which utilizes a character-level convolutional neural network with which to extract the character-level features from the text data. We also conducted a performance study with real-life datasets to show the effectiveness of the proposed matrix factorization algorithm.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.535-543
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• 2020

The KSA caused an error in deriving the statistical measurement items due to the misconfiguration of the safety variables and sub-modules that constitute the safety statistics framework for external causes of death, and pathogenesis, without considering the academic classification system of the field and area of the disaster/accident. By naming it as a mechanism, it was analyzed that the result of poor statistical validity has arrived. Therefore, in this study, by changing the safety parameters according to the WHO safety definition and setting the sub-modules appropriately, the categories of falls, drowning accidents, and accidents exposed to inanimate mechanical forces are classified as accidents at industrial sites and work in daily life. As a result, by systematically re-establishing the complex group of statistical items of the NSO by deriving the field of disasters/accidents according to the nature of the source of external causes of death and setting the relevant domains academically, statistical validity gets better and It is anticipated to play an important role in determining the direction of safe investment.

• Korean Journal of Clinical Pharmacy
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• v.31 no.4
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• pp.301-310
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• 2021

Background: Trust is a key component for the good relationship between patients and healthcare professionals but trust for community pharmacists has not been studied much. Objectives: This study aimed to measure public trust in community pharmacists and to investigate variables that affect trust level in South Korea. Methods: A total of 25 questions, including 13-items for three dimensions of trust (pharmacists' behavior/attitude, technical competence, communication skills) and 1-item for overall trust were developed. The survey was conducted online and the data from 416 respondents were analyzed with a t-test, an ANOVA and a multiple linear regression analysis. Results: The average scores (mean ± standard deviation) for the three dimensions of trust in community pharmacists were 3.47±1.05 (out of 5 points) for pharmacists' behavior/attitude, 3.67 ± 0.99 for technical competence, and 3.66±0.99 for communication skills. The average of the 13 items incorporating all parameters was 3.56±1.02 and the overall trust level was 7.16±1.62 (out of 10 points). The total sum of the 13 items differed significantly by age group (p=0.02) and frequency of pharmacy visits (p=0.04). Each dimension had an independent impact on the trust level, and pharmacists' behavior/attitude had the greatest impact on trust levels. Conclusions: This study showed that pharmacists' behavior/attitude had the most significant impact on the trust level. However, the level of trust in pharmacists' behavior/attitude is not yet sufficiently satisfactory, and further improvements are required to increase trust in community pharmacists.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.385-393
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• 2020

Focusing on the Chinese market of MSNG (Mobile Social Network Game), perceived flow and satisfaction were designed as parameters, purchasing intention was set up as dependent variables, the purpose of present research is to analyze the factors influencing purchase intention of the paid items in mobile social games by studying the game and personal characteristics in terms of interoperability, accessibility, interesting, operability, innovativeness and challenge. Data was collected by questionnaires, Amos was employed to analyze the relationship between purchase intention and target influencing factors. Results showed that characteristics of game and consumers of MSNG have positive effects on the flow and satisfaction of paid items. Moreover, the flow of paid items in MSNG has a positive effect on satisfaction; the flow and satisfaction of paid items in MSNG have a positive effect on purchase intention. more samples and references should be involved in the further study in order to acheive an comprehensive result on comparative study of the social and cultural characteristics between Chinese MSNG and Korean counterpart.

• Journal of Music and Human Behavior
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• v.10 no.1
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• pp.67-83
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• 2013

Assessment in music therapy is a vital part for both the therapist and client in the process of therapy. Based on what is assessed, objectives are identified to formulate specific action procedures and strategies. The existing assessment tools involve lists of skills and behaviors in developmental domains without the music assessment protocol. In this study, the authors attempted to develop an assessment protocol using rhythm production for assessing skills in cognitive and emotional-behavior domain, namely Music Therapy Assessment for Cognitive and Emotional Behaviors (MACEB). The test items of the MACEB-Rhythm were developed using rhythmic patterns varying in terms of item difficulty, which are based on the various degree of clarity in the grouping/gestalt, saliency in part-whole relationship, and complexity in repetition vs. variability. Also the developed tool purported to examine one's level of emotional behavior trait by analyzing performance of musical parameters such as tempo, pacing, and loudness in the reproduced output. In order to verify the logical sequencing of test items, firstly 61 subjects participated in verifying the item difficulty for the selected 15 pilot items. The test items were revised and re-sequenced based on the gathered scores of item difficulty. In the second procedure, seven experts in the fields of music education, music therapy and music psychology whose research interest lie in music cognition revised the developed rhythm protocol items focusing on learning sequence, cognitive process and feasibility for skills assessment. The study attempted to provide foundations for using rhythm as an assessment protocol prior to its verification of assessment validity and reliability.

• Asian-Australasian Journal of Animal Sciences
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• v.6 no.1
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• pp.147-153
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• 1993

A total of 109 heads of horses and ponies from eight horseback riding clubs nearby Central Taiwan were investigated to evaluate the blood parameters and the biochemical compositions of serum for the documentation of clinical pathological diagnosis and exercise physiology. Blood samples were collected from the jugular vein of resting horses. The sex difference in the blood traits were compared both in horses and in ponies. Results shows that total plasma proteins (PP) and hematocrit (PCV) were found higher in male horses than in females (p < 0.05). The sexual effect also exertes a significant influence on the leucocyte (WBC) count, but not on the erythrocyte (RBC) concentration. According to the differential counts of leucocytes, the number of monocytes and lymphocytes was higher in the male pony than that of in male horse. A close relationship Between the erythrocyte sedimention rate (ESR) and the other blood parameters were found especially in PCV, RBC concentration, and plasma protein level. The average ESR observed at 60 minutes were $21.80{\pm}21.87mm$, $39.50{\pm}18.90mm$ and $43.73{\pm}17.89mm$ in stallions, geldings, and mares, respectively. Most of the biochemical components of horse serum detected were distributed in normal ranges, although some of the items show a great variation in such a large sample size.

• Communications for Statistical Applications and Methods
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• v.15 no.3
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• pp.465-481
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• 2008

Item response theory(IRT) estimates latent ability of a subject based on the property of item and item parameters using item characteristics curve(ICC) of each item case. The initial value and another problems occurs when we try to estimate item parameters of IRT(e.g. the maximum likelihood estimate). Thus, we propose the asymptotic approximation method(AAM) to solve the above mentioned problems. We notice that the proposed method can be thought as an alternative to estimate item parameters when we have small size of data or need to estimate items with local fluctuations. We developed 'Any Assess' and tested reliability of the system result by simulating a practical use possibility.