• 대한디지털의료영상학회논문지
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• 제15권1호
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• pp.33-38
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• 2013

Bone is so crucial anatomy for human body. Many researchers study deep into a subject about bone regeneration. There is no standard analysis for quantitative Neo-bone regeneration on calvarial defected model. Micro CT is so useful method to quantitative analysis of Neo-bone regeneration. This study was show that how to quantitative analysis of Neo-bone regeneration with ${\mu}-CT$ Micro CT was possible to quantitative analysis for Neo-bone regeneration on Calvarial defected model. futhermore Not only was Micro CT possible for qualitative analysis but quantitative analysis on the mouse calvarial model. This study will provide bone biology researchers with accurate quantitative analysis.

• 지식경영연구
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• 제10권2호
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• pp.35-48
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• 2009

The paper proposes a quantitative causal ordering map (QCOM) to combine qualitative and quantitative methods in a framework. The procedures for developing QCOM consist of three phases. The first phase is to collect partially known causal dependencies from experts and to convert them into relations and causal nodes of a model graph. The second phase is to find the global causal structure by tracing causality among relation and causal nodes and to represent it in causal ordering graph with signed coefficient. Causal ordering graph is converted into QCOM by assigning regression coefficient estimated from path analysis in the third phase. Experiments with the prediction model of Korea stock price show results as following; First, the QCOM can support the design of qualitative and quantitative model by finding the global causal structure from partially known causal dependencies. Second, the QCOM can be used as an integration tool of qualitative and quantitative model to offerhigher explanatory capability and quantitative measurability. The QCOM with static and dynamic analysis is applied to investigate the changes in factors involved in the model at present as well discrete times in the future.

• Journal of the Korean Data and Information Science Society
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• 제14권4호
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• pp.1067-1082
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• 2003

In this paper, we propose a randomized response model with discrete quantitative attribute by three-stage cluster sampling for obtaining discrete quantitative data by using the Liu & Chow model(1976), when the population was made up of sensitive discrete quantitative clusters. We obtain the minimum variance by calculating the optimum number of fsu, ssu, tsu under the some given constant cost. And we obtain the minimum cost under the some given accuracy.

• 응용통계연구
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• 제25권3호
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• pp.447-456
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• 2012

For a sensitive survey in which the population is comprised of several clusters with a quantitative attribute, we present an additive quantitative randomized response model by cluster sampling that adapts a two-stage cluster sampling instead of a simple random sample based on Himmelfarb-Edgell's additive quantitative attribute model and Gjestvang-Singh's one. We also derive optimum values for the number of 1st stage clusters and the optimum values of observation units in a 2nd stage cluster under the condition of minimizing the variance given constant cost. We can see that Himmelfarb-Edgell's model is more efficient than Gjestvang-Singh's model under the condition of cluster sampling.

• Communications for Statistical Applications and Methods
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• 제8권3호
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• pp.753-765
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• 2001

We suggest a quantitative conditional unrelated question model that can be used in obtaining more sensitive information. For whom say "yes" about the less 7han sensitive question .B we ask only about the more sensitive variable X. We extend our model to two sample case when there is no information about the true mean of the unrelated variable Y. Finally we compare the efficiency of our model with that of Greenberg et al.′s.

• 응용통계연구
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• 제29권5호
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• pp.897-906
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• 2016

본 연구에서는 민감한 변수와 변환된 변수로 구성된 Bar-Lev 등 (2004)의 승법모형에 무관한 양적변수를 새롭게 추가한 승법 무관양적속성 확률화응답모형을 제안하였다. 그리고 무관한 양적변수에 대한 정보를 알 때와 모를 때로 구분하여 민감한 양적속성 추정에 대한 이론적 체계를 마련하고자 하였다. 또한 제안한 승법 무관양적속성 확률화응답모형과 기존의 승법모형인 Eichhorn-Hayre 모형, Bar-Lev 등의 모형, 그리고 Gjestvang-Singh 모형과의 관계를 살펴보았고, Bar-Lev 등의 모형과의 효율성을 비교하였다. 그 결과, 기존의 승법모형들이 제안한 승법 무관양적 속성 확률화응답모형의 특별한 경우임을 확인할 수 있었고, 제안한 모형과 Bar-Lev 등의 모형과의 효율성을 수치적으로 비교한 결과 $C_x({\sigma}_x/{\mu}_x)$값이 작을수록 그리고 $C_z({\sigma}_z/{\mu}_z)$값이 클수록 제안한 승법 무관양적속성 확률 화응답모형이 Bar-Lev 등의 모형보다 효율성이 좋게 나타남을 알 수 있었다. 그리고 제안한 승법 무관양적속성 모형은 $p_1=p$값이 커질수록 또한 ${\mu}_z=1$일 때 보다 ${\mu}_z=0.5$일 때가 더 효율적인 것으로 나타났다.

• Nuclear Engineering and Technology
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• 제36권5호
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• pp.430-449
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• 2004

A quantitative model for a control system that integrates human operators, systems, and their interactions is developed based on discrete functions. After identifying the major entities and the key factors that are important to each entity in the control system, a quantitative analysis to estimate the recovery failure probability from an abnormal state is performed. A numerical analysis based on assumed values of related variables shows that this model produces reasonable results. The concept of 'relative sensitivity' is introduced to identify the major factors affecting the reliability of the control system. The analysis shows that the hardware factor and the design factor of the instrumentation system have the highest relative sensitivities in this model. T도 probability of human operators performing incorrect actions, along with factors related to human operators, are also found to have high relative sensitivities. This model is applied to an analysis of the TMI-2 nuclear power plant accident and systematically explains how the accident took place.

• 품질경영학회지
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• 제50권2호
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• pp.183-197
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• 2022

Purpose: The purpose of this study is to develop a quantitative evaluation model for the defense quality management system and suggest institutionalization plans. To this end, another existing evaluation model was reviewed and analyzed to develop a quantitative evaluation model applicable to military institutions. Methods: In this study, in order to establish a DQMS quantitative evaluation model, a military product quality level survey model and a defense quality model operated in the defense field were analyzed. In addition, evaluation models and indicators were analyzed by investigating evaluation models operated by other institutions and private sectors. Results: As a result of the study, the total score of the DQMS model was 1,000 points, 600 points for maturity level indicators and 400 points for operation performance indicators, and the evaluation items consisted of 7 major categories and 25 middle categories. The maturity level index 600 points are 70 points for organizational situation, 60 points for leadership, 40 points for planning, 100 points for support, 180 points for operation, 90 points for performance evaluation, and 60 points for improvement. Conclusion: It will be easy to quantify and evaluate the operating level of DQMS certified companies through the application of the DQMS quantitative evaluation model and evaluation criteria presented in this study. As a result, it will be possible to grasp the level of quality management system and the areas of improvement, and the overall level of improvement can be expected by inducing voluntary improvement activities through sharing of best practices and identifying improvement cases.

• Journal of the Korean Data Analysis Society
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• 제20권6호
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• pp.2895-2905
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• 2018

Lee(2016a)는 Bar-Lev et al.(2004)의 모형에 무관한 변수를 추가하여 민감한 변수, 변환된 변수 그리고 무관한 변수 중에서 확률장치에 의해 선택된 질문에 응답하도록 하는 승법 양적 확률화응답모형을 제안하였다. 본 연구에서는 Bar-Lev et al.(2004)이 제안한 강요 양적속성 승법모형에 무관한 변수와 강요응답을 새롭게 추가한 혼합 승법 양적속성 확률화응답모형을 제안하였다. 그리고 무관한 변수에 대한 정보를 아는 경우와 모르는 경우로 나누어 민감한 양적속성을 추정할 수 있는 이론적 체계를 구축하였다. 또한, 모집단이 층화되어 있을 때에도 제안한 모형의 적용이 가능하도록 층화 혼합 승법 양적속성 확률화응답모형으로 확장하였고 층화추출에 있어서 비례배분과 최적배분 문제를 다루었다. 마지막으로 기존의 승법모형인 Eichhorn-Hayre(1983) 모형, Bar-Lev et al.(2004) 모형, Gjestvang-Singh(2007) 모형, Lee(2016a) 모형이 제안한 혼합 승법 양적속성 확률화응답모형의 특수한 형태임을 확인할 수 있었고, Bar-Lev et al.(2004) 모형과의 효율성 비교 결과 $C_x$값이 작을수록 그리고 $C_z$값이 클수록 제안한 혼합 승법 양적속성 확률화응답모형이 Bar-Lev et al.(2004)의 모형보다 효율적이었다.

• 시스템엔지니어링학술지
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• 제20권spc1호
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• pp.1-11
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• 2024

Today, the importance of test and evaluation of defense systems is increasing day by day. In performing efficient defense systems test works, process improvement based on quantitative management is essential. The purpose of this paper is to present the results of process improvement for the defense systems test works of the test organization based on quantitative management activities. As a methodology to confirm process improvement performance, the 'MPM(Managing Performance and Measurement)' practice area of the CMMI model was applied. The quantitative management model for defense systems test works was developed so that it could be practically applied not only to the entire test organization but also to the organization at the department level that actually performs the test work. Finally, the application cases of the quantitative management model for defense system test works and the results of process improvement were described.