• Asia pacific journal of information systems
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• v.11 no.3
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• pp.23-42
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• 2001

Recently, knowledge management becomes a core management tool for efficient and effective organizations. However, there are little known researches on measuring knowledge management level. The objective of this paper is to develop a process capability model for knowledge management of an organization. We developed 5 stage process capability model for knowledge management. The 1st stage is the initial stage where no significant knowledge management activity is performed. The 2nd stage is the performed stage where planning and tracking activities are performed on organization level. The 3rd stage is the established, and the 4th stage is the predictable stage where processes and results of knowledge management can be predictable. Final stage is the optimizing stage where knowledge management process is continuously improved at an organizational level. We surveyed 37 korean companies to test the validity of the proposed stage model. Statistical tests show that the developed stage model of knowledge management is valid and sound in general conditions. The result of this study on process capability model can be a solid stepping stone for future works in this area.

• Archives of design research
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• v.16 no.2
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• pp.355-364
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• 2003

This research verified efficiency of 2 design process models; 2-stage model and 3-stage model. 2-stage model means subjective and sensitive design process based on designer's creative mind. Contrarily, 3-stage model means objective, logical and consumer-oriented design process. Past researches have suggested inconsistent conclusions on efficiency of 2 design process models. This study suggested efficiency of 2 design process model based on the concept of market leader strategy and market seeker strategy. The study results imply that, in condition of high prestige brand, 2-stage model based on market leader strategy is more effective and contrarily in case of low prestige brand, 3-stage model based on market seeker strategy is more efficient. However, it is requested to perform various investigation about situations in which each design process model is more effective for the generalization of the study results.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.3
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• pp.1-11
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• 2016

The present study aims to evaluate transfer resistance factors in railway stations and draw new implications. The data used for the model estimation are RP (revealed preference) data and SP (stated preference) data. Two types of models were used for the analysis: integration model which combined line-haul stage, transfer stage and shuttle stage and separation model which assessed the three stages separately. The results revealed that while bulk freight shippers mainly focused on line-haul stage, they put emphasis on transfer stage as well. It's especially notable that transfer stage was considered more important than shuttle stage. Therefore, in future transportation policies concerning rail freight, it would be crucial not only to enhance the competitiveness of line-haul stage but also make improvements in transfer stage regarding railway stations.

• Communications for Statistical Applications and Methods
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• v.18 no.4
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• pp.423-431
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• 2011

For procuring more sensitive information and estimating stratum target population proportion as well as an overall one form a sensitive population composed of several strata we suggest a two-stage stratified unrelated question model that uses stratified random sampling instead of simple random sampling in the two-stage unrelated question model by Kim et al. (1992) and extend it to the three-stage stratified unrelated question model. We also deal with the proportional and optimal allocation problems in each suggested model, compare the relative efficiency of the suggested two models, and show that the three-stage stratified unrelated question model is more efficient than the two-stage one in view of the variance.

• Journal of Technologic Dentistry
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• v.13 no.1
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• pp.15-19
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• 1991

This study was made to effect on the porosity when model making for control of vibrator. Samples of total 600 were made by plaster and stone divided low, medium and high which is 100 each. The following results were obtained to observation porosity of surface by eyes. 1. Second stage was fewer than third stage, first stage was fewer than third stage in porosity number of plaster model. 2. Second stage was fewer than first stage in porosity number of stone model. 3. Stone model was fewer than plaster model in porosity number of third stage.

• Journal of Korean Institute of Industrial Engineers
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• v.41 no.5
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• pp.425-438
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• 2015

This study proposes a three-stage model of R&BD performance which captures commercialization outcomes as well as conventional R&D performance. The model is composed of three factors : inputs (R&D budgets and researchers), outputs (patents and papers), and outcomes (technical fees, products sales, and cost savings). Three stages are defined for each transformation process between the three factors : efficiency stage from input to output (stage 1), effectiveness stage from output to outcome (stage 2), and productivity stage from input to outcome (stage 3). The performance of each stage is measured by data envelopment analysis (DEA). DEA is a non-parametric efficiency measurement technique that has widely been used in R&D performance measurement. We measure the performance of 171 projects of 6 public R&BD programs managed by Seoul Business Agency using the proposed three-stage model. In order to provide a balanced and holistic view of R&BD performance, the R&BD performance map is also constructed based on performance of efficiency and productivity stages.

• Journal of the Society of Naval Architects of Korea
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• v.43 no.3 s.147
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• pp.362-374
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• 2006

Currently, all design information of a hull structure is being first defined on 2D drawings not 3D CAD model at the initial ship design stage and then transferred to following design stages through the 2D drawings. This is caused by the past design practice, limitation on time, and lack of hull structural CAD systems supporting the initial design stage. As a result, the following design tasks such as the process planning and scheduling are being manually performed using the 2D drawings. For solving this problem, a data structure supporting the initial design stage is proposed and a prototype system is developed based on the data structure. The applicability of the system is demonstrated by applying it to various examples. The results show that the system can be effectively used for generating the 3D CAD model of the hull structure at the initial design stage.

• Journal of the Korea Society of Computer and Information
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• v.26 no.9
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• pp.49-55
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• 2021

In this paper, an enhanced 2-stage vehicle license plate detection scheme using object segmentation is proposed to detect accurately the rotated license plates due to the inclined photographing angles in real-road situations. With the previous 3-stage vehicle license plate detection pipeline model, the detection accuracy is likely decreased as the license plates are declined. To resolve this problem, we propose an enhanced 2-stage model by replacing the frontal two processing stages which are for detecting vehicle area and vehicle license plate respectively in only rectangular shapes in the previous 3-stage model with one step to detect vehicle license plate in arbitrarily shapes using object segmentation. According to the comparison results in terms of the detection accuracy of the proposed 2-stage scheme and the previous 3-stage pipeline model against the rotated license plates, the accuracy of the proposed 2-stage scheme is improved by up to about 20% even though the detection process is simplified.

• Journal of Korean Public Health Nursing
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• v.18 no.2
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• pp.205-217
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• 2004

This study conducted a survey with the 67 students who are in their 2nd year at 3 vocational high schools. The researcher of this study developed and operated the smoking cessation program based on the Transtheoretical model. To evaluate the effects, experiments were repeatedly done. The data were collected from June 21, 2004 till July 9, 2004. The survey was done based on the questionnaire-interview before and after education. The collected date was computerized by using SPSS-WIN 10.0 program. The results are as follows: Firstly. before education, the smoking cessation stage of change shows precontemplation stage $37.3\%$, preparation stage $37.3\%$, and contemplation stage $25.4\%$ respectively. However, after education it shows preparation stage $44.8\%$, action stage $25.4\%$, contemplation stage $19.4\%$, precontemplation stage $10.4\%$. The positive result was $62.7\%$ and smoking cessation stage of change made a 0.9 step increase. Secondly, process of change rose in all the areas except helping relationship. It also shows statistical improvement in all the fields except the dramatic relief of the experiential process, the helping relationship of behavioral process and stimulus control Thirdly, negative affective situation temptation, positive social situation temptation, and habitual strength temptation's average points decreased but showed statistical differences. Weight control temptation's average points decreased after education but didn't show statistical differences. Self efficiency increased measurably after education. Fourthly, concerning the social pros and coping pros caused by smoking, the average points were low after education and showed statistic decrease. As for the cons due to smoking, the average points increased but didn't show any statistical differences. In conclusion, thanks to the smoking cessation program applied by the Transtheoretical model, the smoking rate of vocational high school students became low and their smoking temptation also dropped considerably. In conclusion, while the pros for smoking were lessened, its corns were heightened through the educational awareness offered by this program.

• Communications for Statistical Applications and Methods
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• v.3 no.2
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• pp.29-36
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• 1996

In regression model with nested error structure interval estimations about variability on different stages are proposed. This article derives an approximate confidence interval on the variance in the first stage and an exact confidence interval on the variance in the second stage in two stage regression model. The approximate confidence interval is vased on Ting et al. (1990) method. Computer simulation is procided to show that the approximate confidence interval maintains the stated confidence coeffient.