• Journal of Korea Association of Health Promotion
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• v.4 no.1
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• pp.125-131
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• 2006

Background: Inadequate samples make laboratory tests delay cause errors, which will deteriorate the quality of the tests. Therefore, adequate samples are essential for reliable test result. To reduce the inadequate samples, they should to analyze problems and seek a way of improvement through CQI (Continuous Quality Improvement) activity. This will minimize errors during the test and produce a fast and accurate result. Eventrally, the qualily of entire test may be improved, and as a result, a good quality of medical care service may be provided. Methods: At first, inappropriate testing items were collected. Then, generating fctors and problems were investigated and analyzed in each case, In addition, the category with higher frequency wes primarily supervised. In consegalnce, a reduction of are dustion of improper testing sample was oxpected through continuous education and CQI activity. Conclusion : At the beginning of CQI activitv, the number of inadequate testing sample was of 8,591 total samples, which gives the frequency of 0.72%. As CQI activity was carried out the number of improper testing sample reduced to 58 out of 11,415 cases, which yields the frequency of 0,51%. One may notice the difference 0.2%. Among the inadequate sample(blood), there was a high frequency of hemolysis; thus, more of CQI activity is required for this specific matter. Because the occurrence of inadequate testing affects the clinical outcomes, it is extremely important that one manages each step of the procedure in collecting samples and mamtaines the quality of entire tests.

• Journal of the Korean Data and Information Science Society
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• v.13 no.2
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• pp.39-44
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• 2002

We compare MISE of the MLE, UMVUE, invariantly optimal estimator and Jacknife estimator for the reliability function of the Weibull distribution when the sample size is small.

• Journal of the Korean Data and Information Science Society
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• v.14 no.4
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• pp.983-988
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• 2003

When the available sample is multiply Type-II censored, the maximum likelihood estimators of the location and the scale parameters of two-parameter exponential distribution do not admit explicitly. In this case, we propose some approximate maximum likelihood estimators by approximating the likelihood equations appropriately. We present an example to illustrate these estimation methods.

• Journal of the Korean Data and Information Science Society
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• v.16 no.4
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• pp.889-898
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• 2005

In this paper we propose a new estimator of relative odds ratio in the two-sample case of proportional odds model under censorship. Also, we show that the estimator consistent and asymptotically normal by using martingale-representation. The efficiency of the proposed is assessed through a simulation study.

• Journal of the Korean Statistical Society
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• v.22 no.1
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• pp.125-132
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• 1993

Large sample test of homogeneity for a panel of more than two seasonal autoregressive processes is derived and its limiting distribution is found. Detailed results are shown for the important special case that the seasonal and nonseasonal autoregressive components are both of order one.

• Journal of the Korean Operations Research and Management Science Society
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• v.28 no.3
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• pp.81-101
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• 2003

The financial statements purpose to provide useful information to decision-making process of business managers. The value-relevant information, however, embedded in the financial statement has been often overlooked in Korea. In fact, the financial statements in Korea have been utilized for nothing but account reports to Security Supervision Boards (SSB). The objective of this study is to develop earnings forecasting models through financial statement analysis using artificial intelligence (AI). AI methods are employed in forecasting earnings: artificial neural networks (ANN) for manufacturing industry and case~based reasoning (CBR) for banking industry. The experimental results using such AI methods are as follows. Using ANN for manufacturing industry records 63.2% of hit ratio for out-of-sample, which outperforms the logistic regression by around 4%. The experiment through CBR for banking industry shows 65.0% of hit ratio that beats the statistical method by 13.2% in holdout sample. Finally, the prediction results for manufacturing industry are validated through monitoring the shift in cumulative returns of portfolios based on the earning prediction. The portfolio with the firms whose earnings are predicted to increase is designated as best portfolio and the portfolio with the earnings-decreasing firms as worst portfolio. The difference between two portfolios is about 3% of cumulative abnormal return on average. Consequently, this result showed that the financial statements in Korea contain the value-relevant information that is not reflected in stock prices.

• Journal of Biosystems Engineering
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• v.35 no.4
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• pp.244-249
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• 2010

This study was conducted to define the optimal Lycium chinense miller washing method for developing the Lycium chinense cleaner and we analyzed the Lycium chinense miller washing characteristics for removing pesticides and microorganism according to washing methods; habitual washing method, air bubble washing method and nozzle spray washing method. The results were summarized as follows; 1. In case of measuring physical properties according to the varieties, maximum yield strength of Hokwang was 2.562 kgf, minimum yield strength of Hokwang was 0.269 kgf and average yield strength was about 1 kgf. 2. In case of measuring change of bacteria according to washing methods, the number of bacteria of non-washing method was more than the number of bacteria of habitual washing method or mechanical washing method and the number of nozzle spray washing method was least. 3. Ahjoksiseuteurobin of 0.218 ppm was detected in the untreated sample, 0.051 ppm was detected in the habitual washing method, 0.047 ppm was detected in the air bubble washing method and 0.034 ppm was detected in nozzle spray washing method. Every amount detected were less than 2 ppm that is reference value and the detected amount was least in case of nozzle spay cleaning method. Cypermethrin of 0.772 ppm was detected in the non-cleaned sample, 0.089ppm was detected in habitual washing method, 0.26 ppm was detected in the air bubble washing method and 0.292 ppm was detected in the nozzle spray washing method. Every detected amount of Cypermethrin were less than 5 ppm that is reference value and the detected amount was least in case of habitual washing method.

• KSBB Journal
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• v.20 no.2 s.91
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• pp.71-75
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• 2005

Alignment of 2D-gel images of biological samples can visualize the difference of expression profiles and also inform us candidates of protein spots to be further analyzed. However, comparison of two proteome images between the case and control does not always successfully identify differentially expressed proteins because of sample-to-sample variation, poor reproducibility of 2D-gel electrophoresis and inconsistent electrophoresis conditions. Multiple alignment of 2D-gel image must be preceded before visualizing the difference of expression profiles or clustering proteome images. Thus, a software for the alignment of multiple 2D-Gel images and their clustering was developed by applying various algorithms and statistical methods. Microsoft Visual C++ was used to implement the algorithms in this work. Multiresoultion-multilevel algorithm was found out to be suitable for fast alignment and for largely distorted images. Clustering of 10 different proteome images of Fetal Alcohol Syndrome, was carried out by implementing a k-means algorithm and it gave a phylogenetic tree of proteomic distance map of the samples. However, the phylogenetic tree does not discriminate the case and control. The whole image clustering shows that the proteomic distance is more dependent to age and sex.

• Korean Journal of Social Welfare
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• v.65 no.3
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• pp.239-263
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• 2013

This research was carried out in order to develop and validate the Korean Version of Working Relationship Scale for Mentally Disabled Persons, which measures the working relationship between a mentally disabled person and his or her case manager. The first step taken to develop this scale was to construct sample items for the Working Relationship Scale using literature research and three focus group interviews of mentally disabled persons who use local mental health services. Secondly, mentally disabled people were surveyed with these sample items and two professors from the department of social work who specialize in mental health social work and two licensed mental health social workers working in the community mental health field reviewed these sample items to select and compile a final version of the scale. Lastly, the scale's reliability and validity was verified through an empirical study of 569 mentally disabled persons who surveyed the final selection of items. An explanatory factor analysis showed that the sample items can be grouped into three factors. Factor 1 is 'Professional Contribution Factor,' which is related to the professional practice of the case manager; Factor 2 is 'Negative Working Relationship Factor'; and Factor 3 is 'Emotional Bond Factor,' which measures the intimacy between the case manager and the mentally disabled person. A confirmatory analysis of the three-factor format that was discovered in the explanatory factor analysis was carried out with the rest of the randomly divided data, which showed that the model demonstrated a goodness-of-fit. The convergence validity between similar concepts appeared to be appropriate as well. Based on these results, the Korean Version of Working Relationship Scale for Mentally Disabled Persons consisting of a final 33 items is developed and proposed and its implications in social work are discussed.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 1998.10a
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• pp.198-203
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• 1998

This study, a sub-one of comprehensive research works titled under “Rural Resources Evaluation System”, tried to verify utility/applicability of the developed model system through the case study works on 3 sample villages, Backya, Uyan and Suyu, representing the lowland, upland and seashore villages respectively. From the various surveying and collecting works including the official/statistical data collection, map analysis, insitu investigation, field survey and written material review, the original data set were obtained and manipulated into final input data for resources grading. After then, by the automatized calculation procedure of “Rural Resources Evaluation System”, score results for resources evaluation were finally produced with the total maximum score being 1,000. Through comparing works among score results of 3 case villages and between score results and areal characteristics of each case village, the applicability of the system developed in this study was well confirmed.