• Journal of Information Technology Services
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• v.1 no.1
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• pp.119-139
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• 2002

It is noteworthy that IMT -2000 communication network based on All-HP/AIN(Advanced Intelligent Network) should accomodate current and future wire/wireless AIN service easily through integration and gearing AIN construction elements. In this paper. Intelligent Farmer model(I-Farmer Model) and methodology are suggested in order to solve the several problems including standardization on implementation of Q3 interface in Telecommunication Management Network(TMN) agents which is caused by heterogeneous platform environment and future maintenance. Also this paper proposes ITI algorithm transforming the system which is designed by I-Farmer model to Interface Specification Model(ISM) applying the I-Farmer model. In addition to ITI algorithm. we suggest NTS(Node to SIB) algorithm converting entity node and ILB/OLB component in agent system designed by the I-Farmer model to SIB of AIN GFP(Global Functional Plane) and to ASIB for application program.

• Proceedings of the KIEE Conference
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• 1995.07a
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• pp.337-339
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• 1995

A Linear Induction Machine(LIM) is the motor which is developed from an rotary induction machine. Usually, the electromagnetic field of an LIM is analyzed by Maxwell's equations. The structure of an LIM is different from a conventional rotary machine, an LIM has some particular characteristics such as the end effects. Hence, the mathematical analysis of an LIM is very complicated and the implementation of the equivalent model is difficult. In this paper, the dynamic equations and the equivalent model of a Double-sided short primary LIM(DLIM) is obtained by the winding function and a d-q theory. The validity of the proposed methodology is verified by numerical analysis.

• Journal of the Korean Society for Precision Engineering
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• v.15 no.11
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• pp.108-120
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• 1998

In this paper, a new control system design algorithm, which has the advantages of the existing LQR and eigenstrcture assignment methods, is proposed. The method of the transformation matrix via block controller is utilized to develop the scheme. Using the proposed algorithm, LQR weighting matrices q and R, which satisfy the desired closed-loop eigenvalues and eigenvectors, can be achieved using only simple matrix computations. The usefulness of the proposed scheme is verified by applying to a numerical example and an automotive active suspension control system design.

• Journal of the Korean Society of Clothing and Textiles
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• v.45 no.4
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• pp.661-673
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• 2021

The purpose of this study is to analyze the perceptions of obesity among appearance-conscious women in their 20s. It is intended to provide data necessary to produce garments for obese body types by identifying adult women's subjective assessments of obese body types and characteristics. The data were analyzed using Q Methodology in the QUANL program for PC. Type 1 was recognized as uniformly fat in the abdomen, with almost the same width and thickness. Type 2 was perceived to have more fat in the upper body and back, broad shoulders, and an inverted body type. Type 3 was perceived as having a fat lower half of the body, hips wider than the chest, and large thighs. Type 4 was identified as having few curves and fat concentrated in the abdomen. Further research of other age groups and regions is needed to ascertain the difference between perceived and actual body types.

• Journal of Korea Trade
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• v.25 no.7
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• pp.19-40
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• 2021

Purpose - This paper's purpose is to investigate how foreign ownership and innovation affect firm value. Design/methodology - Firm innovation is defined as operational efficiency, which is calculated by adopting data envelopment analysis (DEA). Additionally, R&D intensity is included as a measure of innovation in the analysis. We used firm-level data from manufacturing companies in Korea. The sample comprised 3,753 firm-year observations for every year in the period 2003-2017. Findings - We found that foreign ownership and innovation are positively related to firm value (Tobin's Q). Foreign ownership moderates innovation's contribution to firm value, implying that foreign ownership may enhance the value relevance of firm innovation. In addition, we found that firm innovation partially mediates the relationship between foreign ownership and firm value. Originality/value - This highlights the important role of foreign investors' monitoring; wherein foreign investors enhance firm value by facilitating firm innovation. Our results suggest that foreign ownership can be crucial for innovation and may serve to address weak ownership structures.

• Journal of Korean Academy of Nursing
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• v.30 no.6
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• pp.1437-1454
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• 2000

This study was designed to identify the attitudes of the people on organ donation and transplantation. The purpose of this study was to provide data to help inspire organ donation, and promote registration yield so donor candidates will have more favorable recipients through Q-methodology. A Q-sample was developed through a review of the literature and interviews. Thirty-three statements made up the final Q-sample. The P-sample consisted of twenty-eight subjects, excluding chronic organic disorder. The Q-sorts by each subject were coded and analyzed with the QUNAL computer program. The results were as follows: This study discovered five different types of organ donation and transplantation of twenty- eight subjects. Type I is 'utilitarian.' The people of this type consider human life very valuable and they recognize that organ transplantation is an affirmative medicine that should be performed to extend human life. They believe that are saving others' lives by donating organs. Type II is 'sardonist.' The people of this type approve of organ transplantation usefulness, but they have no intention of participating in the program because of it may trample on human rights. Type III is 'individualist.' The people of this type consider it proper for the activation of organ transplantation by the legal system. They believe that organ donation a valuable too, but needs support through social benefits to donors. Yet, they have not intention of doing what they propose. Type IV is 'familist.' The people of this type have strong attachments to life but they think that organ donation and transplantation should be done between within a family. Type IV is disposition of family intensive consideration rather than altruistic and utilitarianism. Type V is 'deontologist.' The people of this type recognize the benefits of transplantation, but have a negative opinion of activation. They worry about ethical and social problems occurring in the development of modern medicine. They believe that death is the only natural end to life, so they have strong negative opinions of euthanasia and brain death compared to other types. They regard transplantation to be a non-human behavior, because it involves a removing organs and breaking the boundary of death. The findings of this study are only preliminary and serve as a baseline to understanding the subjectivity of individuals on organ donation and transplantation. Therefore, the subjectivity of the five types will be applied to formulate the educational programs and public relations strategies for organ donation because the public's awareness toward organ donation is closely related to their values, beliefs, and attitudes.

• Journal of Distribution Science
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• v.12 no.2
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• pp.59-71
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• 2014

Purpose - In recent years, many firms have attempted various approaches to cope with the continual increase of aviation transportation. The previous research into freight charge forecasting models has focused on regression analyses using a few influence factors to calculate the future price. However, these approaches have limitations that make them difficult to apply into practice: They cannot respond promptly to small price changes and their predictive power is relatively low. Therefore, the current study proposes a freight charge-forecasting model using time series data instead a regression approach. The main purposes of this study can thus be summarized as follows. First, a proper model for freight charge using the autoregressive integrated moving average (ARIMA) model, which is mainly used for time series forecast, is presented. Second, a modified ARIMA model for freight charge prediction and the standard process of determining freight charge based on the model is presented. Third, a straightforward freight charge prediction model for practitioners to apply and utilize is presented. Research design, data, and methodology - To develop a new freight charge model, this study proposes the ARIMAC(p,q) model, which applies time difference constantly to address the correlation coefficient (autocorrelation function and partial autocorrelation function) problem as it appears in the ARIMA(p,q) model and materialize an error-adjusted ARIMAC(p,q). Cargo Account Settlement Systems (CASS) data from the International Air Transport Association (IATA) are used to predict the air freight charge. In the modeling, freight charge data for 72 months (from January 2006 to December 2011) are used for the training set, and a prediction interval of 23 months (from January 2012 to November 2013) is used for the validation set. The freight charge from November 2012 to November 2013 is predicted for three routes - Los Angeles, Miami, and Vienna - and the accuracy of the prediction interval is analyzed using mean absolute percentage error (MAPE). Results - The result of the proposed model shows better accuracy of prediction because the MAPE of the error-adjusted ARIMAC model is 10% and the MAPE of ARIMAC is 11.2% for the L.A. route. For the Miami route, the proposed model also shows slightly better accuracy in that the MAPE of the error-adjusted ARIMAC model is 3.5%, while that of ARIMAC is 3.7%. However, for the Vienna route, the accuracy of ARIMAC is better because the MAPE of ARIMAC is 14.5% and the MAPE of the error-adjusted ARIMAC model is 15.7%. Conclusions - The accuracy of the error-adjusted ARIMAC model appears better when a route's freight charge variance is large, and the accuracy of ARIMA is better when the freight charge variance is small or has a trend of ascent or descent. From the results, it can be concluded that the ARIMAC model, which uses moving averages, has less predictive power for small price changes, while the error-adjusted ARIMAC model, which uses error correction, has the advantage of being able to respond to price changes quickly.

• Korean Journal of Adult Nursing
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• v.13 no.1
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• pp.123-135
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• 2001

The purpose of this study is to analyze the structural pattern of nurses' pain management with patients who experience pain. As a research method, the Q methodology, which is useful for an objective view of a highly abstract concept, was applied. The data collecting activity of this study was from August, 21st, 2000 to November, 24th 2000. The Q-population, the previous thesis and a literature review were done. Questions about pain management by the nurse on the patients, caregivers, nursing students, doctors, nurses, and others were asked in documentary work and in-depth interviews. In all, 223 units of the Q-population were formed, and the last 35 units of the Q-population were extracted. The data on the P-sample was collected from 41 nurses who worked in the medical and surgical units of a hospital that belonges to C university in Seoul. The research results were constituted in 3 types. Type I was the 'pattern of judging by objectivity'. The statement on which most of the people highly agreed for those patterns was shown by 'If patients said that they are suffering from pain, we sufficiently performed an assessment about the etiology, location, duration and degree'. For type I, the same pain was found in different locations according to the patients, so the etiology of the pain should be identified first place. Since ways of coping are different according to pain etiology, it was thought that it is important to assess sufficiently the pain etiology, location, duration, and degree. Therefore, when patients complain of pain, the pain etiology should be identified and assessed; according to the result, pain management should be performed systematically. Type II was the 'pattern of accepting by subjectivity'. The statement on which most of the people highly agreed for those patterns was shown as 'If patients said that they are suffering from pain, the medical treatment should be performed rapidly and speedily.' For type II, when the patient complains of pain, treatment should be performed quickly in order to prevent the condition getting worse, and it is thought that activity is a reasonable duty. Further, by trying to show empathy after pain is admitted and by understanding and coping rapidly with the pain of patients, an attitude which matched the altruistic morals of nurses is being shown. Type III was the 'pattern of worrying about', and the statement on which most of the people highly agreed for those patterns was shown is 'When there is a pain, to help patients to tolerate the pain to the highest degree.' In type III, the pain is a subjective expression, so there is a difference according to every individual. Therefore, actually if there is no measurement of pain, it could be exaggerated so nurses should help patients to tolerate it to the utmost. Even if there is a way to remove pain without an analgesic drug, nurses were reluctant to perform pain management as they possibly could. Through these research results, pain management of nurses was classified in 3 types, and structural characteristics in each type were discovered. Based upon the characteristics according to the type, an individualized pain management intervention strategy should be established and the follow up work performed.

• Journal of Korea Water Resources Association
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• v.50 no.10
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• pp.661-671
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• 2017

The objective of this study was to analyze the flood stage considering the uncertainty caused by the river roughness coefficients and discharge. The methodology of this study involved the GLUE (Generalized Likelihood Uncertainty Estimation) to quantify the uncertainty bounds applying three different storm events. The uncertainty range of the roughness was 0.025~0.040. In case of discharge, the uncertainty stemmed from parameters in stage-discharge rating curve, if h represents stage for discharge Q, which can be written as $Q=A(h-B)^C$. Parameters in rating curve (A, B and C) were estimated by non-linear regression model and assumed by t distribution. The range of parameters in rating curve was 5.138~18.442 for A, -0.524~0.104 for B and 2.427~2.924 for C. By sampling 10,000 parameter sets, Monte Carlo simulations were performed. The simulated stage value was represented by 95% confidence interval. In storm event 1~3, the average bound was 0.39 m, 0.83 m and 0.96 m, respectively. The peak bound was 0.52 m, 1.36 m and 1.75 m, respectively. The recurrence year of each storm event applying the frequency analysis was 1-year, 10-year and 25-year, respectively.

• Applied Biological Chemistry
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• v.47 no.3
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• pp.351-356
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• 2004

Holographic quantitative structure activity relationships (HQSAR) as 2D QSAR between the herbicidal activities against root and shoot of rice plant (Orysa sativa L.) and barnyardgrass (Echinochloa crus-galli), and structures of A=3,4,5,6-tetra-hydrophthalimino, B = 3-chloro-4,5,6,7-tetrahydro-2H-indazolyl and C = 3,4-dimethylmaleimino substituents in 1-(5-methyl-3-phenylisoxazolin-5-yl)methoxy-2-chloro-4-fluorobenzene derivatives were studied and discussed. The statistical results of four HQSAR models for the herbicidal activities against root and shoot of the two plants showed the best predictability of the herbicidal activities based on the cross-validated $r^2\;_{cv}\;(q^2=\;0.760{\sim}0.924)$, non cross-validated conventional coefficient $(r^2\;_{ncv}\;=\;0.868{\sim}0.970)$ and PRESS values $(0.123{\sim}0.261)$. The results indicated that the qualities of HQSAR models for barnyardgrass were slightly higher than that of rice plant. And also, the predictability of HQSAR models were higher $(q^2\;=\;HQSAR\;>\;CoMFA)$ than CoMFA but the conventional coefficients of HQSAR models lower $(r^2\;=\;HQSAR\;<\;CoMFA)$ than CoMFA. Moreover, from the contribution maps, it was founded that the selectivity between the two plants depends upon the 2-fluoro-4-chloro-5-alkoxyanilino and $R_3$ substituent on the C-phenyl ring. These features suggest where to modify a molecular structure in order to improve its selective of herbicidal activities against barnyardgrass.