• Journal of Korea Society of Industrial Information Systems
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• v.12 no.5
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• pp.163-172
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• 2007

ESC has been used as a tool for evaluating overall performance of firms. ESC focuses mainly on building a balanced viewpoint comprising perspectives and their metrics. It is, therefore, difficult to value overall strategic achievements of a company derived by consolidating various perspectives and metrics. Because of the absence of a method for consolidating ESC metrics and computing total score based on these metrics, it is difficult to evaluate whole strategic performance and find core obstacle parts of performance. In this paper, we suggest a method of normalizing a numerical value of metrics with different units, and calculating the total score of ESC metrics. We conduct a case study of evaluating the effectiveness of CRM to illustrate the applicability and feasibility of the suggested method.

• Advances in materials Research
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• v.5 no.2
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• pp.67-80
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• 2016

The objective of the present work is to optimize process parameters namely, cutting speed, feed rate, and depth of cut in milling of AISI 304 stainless steel. In this work, experiments were carried out as per the Taguchi experimental design and an $L_{27}$ orthogonal array was used to study the influence of various combinations of process parameters on surface roughness (Ra) and material removal rate (MRR). As a dynamic approach, the multiple response optimization was carried out using grey relational analysis (GRA) and desirability function analysis (DFA) for simultaneous evaluation. These two methods are considered in optimization, as both are multiple criteria evaluation and not much complicated. The optimum process parameters found to be cutting speed at 63 m/min, feed rate at 600 mm/min, and depth of cut at 0.8 mm. Analysis of variance (ANOVA) was employed to classify the significant parameters affecting the responses. The results indicate that depth of cut is the most significant parameter affecting multiple response characteristics of GFRP composites followed by feed rate and cutting speed. The experimental results for the optimal setting show that there is considerable improvement in the process.

• Proceedings of the Korean Institute of Landscape Architecture Conference
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• 2007.10b
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• pp.72-77
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• 2007

Civic participation in managing the work of a park is a natural experience, and urban culture has a role in forming and communicating ideas. However, when it comes to managing a copse, there is no clear scenic image. In this study, my intention was to determine a desirable scene involving a copse and suggest a target image for managing work from a scenic perspective. I selected 12 photographs and listed 10 pairs of adjectives that were judged to reflect the effect produced by the copse scene using the repertory grid development technique. In addition, I performed a scenic evaluation using the semantic differential(SD) method with each pair of adjectives. Factor analysis was performed based on questionnaire survey results, such that the scenic structure of the copse had a clear definition. In addition, the physical characteristics of the photographs were analyzed using Adobe Photoshop 6.0 and the correlations between the results of the questionnaire survey were understood using multiple regression analysis. A desirable scenic image of the copse became clear through this process and I was able to suggest various options of scenic images. Taking the aspects of urban culture into consideration, park improvement projects(including their planning stages) should be implemented by involving residents, which will lead to further development of park planning and maintenance theories and projects giving due consideration to residents' opinions.

• Journal of Navigation and Port Research
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• v.35 no.2
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• pp.121-130
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• 2011

The localization of vehicle is an important part of an unmanned vehicle control problem. Pseudolite ultrasonic system(PUS) is the method to find an absolute position with a high accuracy by using ultrasonic sensor. And Gyro is the inertial sensor to measure yaw angle of vehicle. PUS can be able to estimate the position of mobile robot precisely, in which errors are not accumulated. And Gyro is a more faster measure method than PUS. In this paper, we suggest a more accuracy method of calculating PUS which is numerical analysis approach named Newtonian method. And also propose the fusion method to increase the accuracy of estimated angle on moving vehicle by using PUS and Gyro integrated system by Kalman filtering. To control the 4WS unmanned vehicle, the trajectory following algorithm is suggested. And the new concept arbitration of goal controller is suggested. This method considers the desirability function of vehicle state. Finally, the performances of Newtonian method and designed controller were verified from the experimental results with the 4WS vehicle scaled 1/10.

• Journal of the Korean Society of Food Science and Nutrition
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• v.33 no.5
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• pp.869-874
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• 2004

This study was conducted to investigate the effects of paprika juice on the quality characteristics of Jeung-Pyun (fermented and steamed rice cake). Jeung-Pyun was prepared with four different levels of orange paprika juice (0%, 10%, 25% and 50% replacement of water). The proximate composition analysis showed that moisture contents of Jeung-Pyun were 48.72∼49.36%, and crude protein, lipid and ash contents were 2.94∼3.13%,0.46∼0.63% and 0.60∼0.65%, respectively. The pH of Jeung-Pyun batters was decreased from 4.74∼4.83 to 4.27∼4.38 during 4 hours of fermentation at 35$^{\circ}C$. The maximum expanded volume was observed in control group, followed by 10% group, 25% group and 50% group and the volume expansion was decreased with the increased amount of paprika juice. The "L" value (lightness) was the highest in control group and decreased with paprika juice addition, while the "b" value (yellowness) was increased as the amount of paprika juice was increased. Rheology test showed that there were no significant differences in hardness an cohesiveness among four groups. Springiness and gumminess were the lowest in control group and increased with the increased amount of paprika juice. Results of sensory evaluation showed that there were no significant differences in scores of cell uniformity, sweetness, moistness and overall desirability between control and 10% group. Therefore. Jeung-Pyun prepared with 10% paprika juice was evaluated as the most acceptable one among test groups when compared to control.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.20 no.2
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• pp.118-128
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• 2013

Purpose: The purpose of this study was to identify the images of men as nurses held by high school boys, and to provide basic data about the desirability of nursing as a career choice for them. Method: Q-methodology which provides a method of analyzing the subjectivity of each item was used: The 35 high school boys classified 31 selected Q-statements into a normal distribution using a 9-point scale. The collected data was analyzed by the pc-QUNAL program. Results: Among the high school boys, three types of images of men as nurses were identified. Type I; A promising occupation for men through active way of thinking, Type II; Men working in a woman oriented field of work, Type III; A promising profession without any gender stereotype. Conclusion: The results of this study suggest that specific strategies should be developed to promote the choice of nursing among high school boys.

• Structural Engineering and Mechanics
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• v.73 no.5
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• pp.501-513
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• 2020

In the present work, the optimization of machining parameters to achieve the desired technological parameters such as surface roughness, tool radial vibration and material removal rate have been carried out using response surface methodology (RSM). The hard turning of EN19 alloy steel with coated carbide (GC3015) cutting tools was studied. The main problem faced in manufacturer of hard and high precision components is the selection of optimum combination of cutting parameters for achieving required quality of surface finish with maximum production rate. This problem can be solved by development of mathematical model and execution of experiments by RSM. A face centred central composite design (FCCD), which comes under the RSM approach, with cutting parameters (cutting speed, feed rate and depth of cut) was used for statistical analysis. A second-order regression model were developed to correlate the cutting parameters with surface roughness, tool vibration and material removal rate. Consequently, numerical and graphical optimization were performed to obtain the most appropriate cutting parameters to produce the lowest surface roughness with minimal tool vibration and maximum material removal rate using desirability function approach. Finally, confirmation experiments were performed to verify the pertinence of the developed mathematical models.

• Journal of agriculture & life science
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• v.44 no.6
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• pp.191-199
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• 2010

How to determine rental rates of agricultural machinery operation is the most important factor for economic units which are consigned to practice agricultural operations. Economic units as consigner for agricultural operations include agricultural cooperatives, local government, and farm operators, and so on. Thus the methods to set a rental rate of agricultural machinery operation are different across these economic units. This study describes benefits and problems associated with the model of cost accounting which is used as a method to determine a rental rate of agricultural machinery operation, and suggests a theoretical desirability of the rental pricing method, based on an accounting system and information on costs.

• Journal of Korean language education
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• v.29 no.1
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• pp.53-84
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• 2018

The main purpose of this study is to investigate foreigners' perception regarding Korean business culture and Korean business culture education. People who participated in this study are six foreign workers after studying at the university or graduate school in Korea. A phenomenological qualitative research method was used in this study in order to elicit life experiences from foreign workers who were working in Korea business companies. Therefore, their experience regarding Korean business culture and business culture education were measured by in-depth interviews. This study shows that nun-chi, vertical relationships, and impatience of Koreans are the most difficult culture to foreign workers. They also feel difficulties regarding Koreans' lack of understanding about other cultures. Moreover, these were not difficult components within school life; rather, the most difficult aspects were that they have never learned about the Korean business culture before getting a job. The results show that international students who want to work in Korea companies need to study about the culture of Korean business and revealed the desirability to learn. These results can be used as a foundation for understanding some contents and criterion of Korean business culture and education.

• Knowledge Management Research
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• v.20 no.3
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• pp.39-47
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• 2019

Response surface methodology (RSM) is a group of statistical modeling and optimization methods to improve the quality of design systematically in the quality engineering field. Its final goal is to identify the optimal setting of input variables optimizing a response. RSM is a kind of knowledge management tool since it studies a manufacturing or service process and extracts an important knowledge about it. In a real problem of RSM, it is a quite frequent situation that considers multiple responses simultaneously. To date, many approaches are proposed for solving (i.e., optimizing) a multi-response problem: process capability function approach, desirability function approach, loss function approach, and so on. The process capability function approach first estimates the mean and standard deviation models of each response. Then, it derives an individual process capability function for each response. The overall process capability function is obtained by aggregating the individual process capability function. The optimal setting is given by maximizing the overall process capability function. The existing process capability function methods usually use the arithmetic mean or geometric mean as an aggregation operator. However, these operators do not guarantee the Pareto optimality of their solution. Moreover, they may bring out an unacceptable result in terms of individual process capability function values. In this paper, we propose a maximin-based process capability function method which uses a maximin criterion as an aggregation operator. The proposed method is illustrated through a well-known multiresponse problem.