• Educational Technology International
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• 제23권2호
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• pp.157-181
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• 2022

Scale scores for cognitive domains have been used as an important indicator for both academic achievement and clinical diagnosis. For example, in education, Cognitive Abilities Test (CogAT) has been used to measure student's capability in academic learning. In a clinical setting, Cognitive Impairment Screening Test utilizes items measuring cognitive ability as a dementia screening test. We demonstrated a procedure of generating cognitive ability test items similar as in CogAT but the theory associated with the generation is totally different. When creating cognitive test items, we applied automatic item generation (AIG) that reduces errors in predictions of cognitive ability but attains higher reliability. We selected two cognitive ability test items, categorized as a time estimation item for measuring quantitative reasoning and a paper-folding item for measuring visualization. As CogAT has widely used as a cognitive measurement test, developing an AIG-based cognitive test items will greatly contribute to education field. Since CLASS is the only LMS including AIG technology, we used it for the AIG software to construct item models. The purpose of this study is to demonstrate the item generation process using AIG implemented within CLASS, along with proving quantitative and qualitative strengths of AIG. In result, we confirmed that more than 10,000 items could be made by a single item model in the quantitative aspect and the validity of items could be assured by the procedure based on ECD and AE in the qualitative aspect. This reliable item generation process based on item models would be the key of developing accurate cognitive measurement tests.

• Bulletin of the Korean Chemical Society
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• 제32권7호
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• pp.2433-2442
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• 2011

The three dimensional quantitative structure activity relationship (3D QSAR) models were developed using Comparative molecular field analysis (CoMFA), comparative molecular similarity indices analysis (CoMSIA) and docking studies. The fit of Quinazolinone antifolates inside the active site of modeled bovine dihydrofolate reductase (DHFR) was assessed. Both ligand based (LB) and receptor based (RB) QSAR models were generated, these models showed good internal and external statistical reliability that is evident from the $q^2_{loo}$, $r^2_{ncv}$ and $r^2_{pred}$. The identified key features enabled us to design new Quinazolinone analogues as DHFR inhibitors. This study is a building bridge between docking studies of homology modeled bovine DHFR protein as well as ligand and target based 3D QSAR techniques of CoMFA and CoMSIA approaches.

• Nuclear Engineering and Technology
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• 제25권3호
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• pp.394-402
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• 1993

원자력 발전소 운전원에게 발전소 상태를 정확히 알려주는 완벽한 신호가 원자력 발전소 전체의 가용도와 경제성에 얼마만한 영향을 주는가에 대한 정량적인 분석이 이 논문에서 수행되어졌다. 이 분석을 위한 기본 모델들이 개발되어졌고 이 모델들은 발전소가 정상상태에서 비정상상태로 바뀌어갈때 운전원이 발전소가 완전히 비정상상태로 가기전에 발전소를 정상상태로 회복시키는 것에 완벽한 발전소 신호가 얼마만큼 영향을 주는가를 정량화 하였다. 또한 이러한 완벽한 신호가 경제적으로 얼마만큼의 이득을 주는가도 정량화 하였다. 이 모델 적용의 대상으로는 응축 및 주급수 시스템을 선정하였다.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제6권1호
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• pp.45-57
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• 2000

현재 널리 사용되고 있는 네트워크 관리 기술들은 서로 다른 관리 정보 모델을 정의하여 사용하거나 다른 관리 프로토콜을 사용하여 통신하므로 호환성을 가지지 못한다. 이런 문제를 해결하기 위해서 여러 분산 패러다임들의 적용을 통해 이전 모델의 개선을 위한 연구들이 이루어지고 있다. 그러나 기존의 연구들은 그 모델의 효용성을 양적으로 제시하기보다는 질적이고 사고 중심적으로 제시하였다. 그래서, 본 논문에서는 모빌 에이전트 패러다임을 이용한 네트워크 관리 모델을 제안하고 그 적용의 양적인 실효성을 알아본다. 그 실효성의 양적 비교를 위해 여러 분산 패러다임과 새로이 제안하는 모델간의 효용성을 각 모델의 통신량 패러메터 모델을 통한 통신량 크기 비교를 통해서 제시한다.

• 한국실내디자인학회논문집
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• 제34호
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• pp.149-156
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• 2002

This study intends to acquire objective models for basic quantitative analysis of pattern and space through image-recognition technique, and verify the effectiveness of such acquired models. Many experiments showed that the recognized result can be varied depending on the different viewpoints and the analysis based on the single-viewpoint images does not provide objectivity. The experiment using multi-viewpoint image models, which was attempted as an alternative for the disadvantages, showed the recognition similar to that of the actual model. Especially, images generated at laboratory using miniature model may be useful in comparing and understanding plural number of patterns. The models that have been acquired using such images may be hard to use in acquiring images for analyzing actual building patterns or indoor space, although they may be useful in pattern analysis using miniature model. The disadvantage, however, can be supplemented with panorama VR and C. G. simulation technique. Steady researches are required on the application of visual information to the image recognition principle and the model for quantitative analysis of pattern and space in addition to the research on the construction of the model that can be used in comparing and analyzing not only form and space but also miniature models.

• Management Science and Financial Engineering
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• 제10권1호
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• pp.25-41
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• 2004

There have been many studies to build a model that can help investors construct optimal portfolio. Most of the previous models, however, are based upon the path-breaking Markowitz model (1959) which is a quantitative model. One of the most important problems with that kind of quantitative model is that, in reality, most of the investors use not only quantitative, but also qualitative information when they select their optimal portfolio. Since collecting both types of information from the markets are time consuming and expensive, making a set of target assets smaller, without suffering heavy loss in the rate of return, would attract investors. To extract only desired assets among all available assets, we need knowledge that identifies investors' preference for the risk of the assets. This study suggests two-layer decision-making rules capable of identifying an investor's risk preference and an architecture applying them to a quantitative portfolio model based on risk and expected return. Our knowledge-based portfolio system is to build an investor's preference-oriented portfolio. The empirical tests using the data from Korean capital markets show the results that our model contributes significantly to the construction of a better portfolio in the perspective of an investor's benefit/cost ratio than that produced by the existing portfolio models.

• 한국지진공학회:학술대회논문집
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• 한국지진공학회 2001년도 춘계학술대회 논문집
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• pp.461-467
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• 2001

Shaking table tests were performed with full scale models of stone parapet on the ancient rampart. The objectives of these tests are to study the seismic behavior of the parapet and to obtain quantitative estimation of the intensities of historical earthquakes. Two test models were made based on the structure of the parapet remnant of a mountain fortress in Bukhan-San located in Seoul. Two types of infilling material are considered. The responses to models were tested subjected to three kinds of input motion.

• The Plant Pathology Journal
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• 제19권3호
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• pp.129-132
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• 2003

Fusarium wilt of cucumber caused by Fusarium oxy-sporum f. sp. cucumerinum is a serious vascular disease worldwide. Biological control of Fusarium wilt in several crops has been accomplished by introducing non-pathogenic Fusarium sup. and other biocontrol agents in soil or in infection courts. In this study, quantitative models were used to determine the biocontrol efficacy of inundatively applied antagonist formulations and the length of their effectiveness in controlling Fusarium wilt of cucumber. Quantitative model of the form [Y=L (1${-exp}^{-kx}$)] best described the relationship between disease incidence (Y, %) and inoculum density (X) of isolates F51 and F55. Isolate F51 was selected as a more virulent isolate based on the extent of its effectiveness in causing the wilt disease. The degree of disease control (Xi/X) obtained with the density of the biocontrol agent (Z), was described by the model [Xi/X=A (1${-exp}^{-cz}$)]. The zeolite-based antagonist formulation amended with chitosan (ZAC) was better at lower rates of application and peaked at around 5 g/ kg of the potting medium, whereas the peat-based antagonist formulation (PA) peaked at around 10 g/kg of the potting medium. ZAC formulation provided significantly better suppression of Fusarium wilt as described by the curvilinear relationship of the type Y= a+bX+c$X^2$, where Y represents percent disease incidence and X represents sustaining effect of the biocontrol agent.

• 응용통계연구
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• 제27권2호
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• pp.239-247
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• 2014

본 논문에서는 사회적으로나 개인적으로 매우 민감한 조사에서 조사하고자 하는 모집단이 여러 개의 층으로 구성되어 있고, 각 층이 양적인 속성으로 되어 있는 경우에 Himmelfarb-Edgell의 가법 모형과 Gjestvang-Singh의 가법 모형에 단순임의추출법 대신에 층화추출법을 적용한 층화 가법 양적속성 확률화응답모형을 제안하였다. 제안한 두 모형으로부터 각 층의 양적속성에 대한 모평균의 추정뿐만 아니라 모집단 전체 모평균에 대한 추정을 할 수 있는 이론적 체계를 마련하였다. 그리고 제안한 두 모형에서 비례배분과 최적배분 문제를 다루었으며, 각 배분법에 따른 분산식을 도출하였다. 마지막으로 두 층화 가법 양적속성 확률화응답모형들 간의 효율성을 비교해 본 결과 Gjestvang-Singh의 층화 가법 모형이 Himmelfarb-Edgell의 층화 가법 모형보다 효율적으로 나타났고, 특히 hh값이 작을수록 즉, 제시한 모형의 특성이 직접질문에 가까워질수록 Gjestvang-Singh의 층화 가법 모형의 효율성이 커짐을 알 수 있었다.

• 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.