• Tuberculosis and Respiratory Diseases
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• 제72권3호
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• pp.302-309
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• 2012

Background: Korean regression models for spirometric reference values are different from those of Americans. Using spirometry results of Korean adults, goodness-of-fits of the Korean and the USA Caucasian regression models for forced vital capacity (FVC) and forced expiratory volume in one second ($FEV_1$) were compared. Methods: The number of study participants was 2,360 (1,124 males and 1,236 females). Spirometry was performed under the guidelines of the American Thoracic Society and the European Respiratory Society. After excluding unsuitable participants, spirometric data for 729 individuals (105 males and 624 females) was included in the statistical analysis. The estimated FVC and $FEV_1$ values were compared with those measured. Goodness-of-fits for Korean and USA Caucasian models were compared using an F-test. Results: In males, the expected values of FVC and $FEV_1$ using the Korean model were 12.5% and 5.7% greater than those measured, respectively. The corresponding values for the USA Caucasian model were 3.5% and 0.6%. In females, the difference in FVC and $FEV_1$ were 13.5% and 7.7% for the Korean model, and 6.3% and 0.4% for the USA model, respectively. Goodness-of-fit for the Korean model regarding FVC was not good to the study population, but the Korean regression model for $FEV_1$, and the USA Caucasian models for FVC and $FEV_1$ showed good fits to the measured data. Conclusion: These results suggest that the USA Caucasian model correlates better to the measured data than the Korean model. Using reference values derived from the Korean model can lead to an overestimation regarding the prevalence of abnormal lung function.

• 한국컴퓨터정보학회논문지
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• 제9권3호
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• pp.1-6
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• 2004

객체 모델링 기법의 그래픽 표현을 이용하여 자료의 추상화, 캡슐화, 모듈화, 계층화 할 수 있는 새로운 그래픽 정보시스템 개발 기술이 절실히 필요하다. 그래픽 자료의 추상화 방법을 개선하기 위하여 복합객체 기술로 자료의 추상화와 계층화 개념을 기반으로 모델링하였으며, 메쉬, 레이어, 세그먼트, 인스턴스 등과 같은 여러 가지 도형요소의 클래스들을 지원하는 분류화와 다중상속 관계모델을 제안한다. 객체 모델링 기법과 스파이스 참조 모델을 이용하여 간단한 그래픽 정보시스템 개발사례를 통하여 소프트웨어 개발주기와 소프트웨어 유지보수 비용을 줄일 수 있는 요구사항을 지원하는 객체 표현 방법의 데이터 모델링 기법을 비교하고 평가한다.

• 대한인간공학회지
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• 제21권2호
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• pp.47-58
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• 2002

This research suggested the mathematical model (forward kinematics method) to provide the reference points of driver space more easily and accurately in designing the package layout of vehicle interiors. For this purpose, the lengths of body segments of drivers and various joint angles occurred while were used. The length data between joints for the mathematical model were extracted from $SAFEWORK^{\circed{R}}$ as well as 95th percentile male and 5th percentile female body dimensions were utilized. In addition, the angles of body segments were applied on its diverse values within proper ranges in order to compare them each other. the mathematical model in this study was based on the concept of converting polar coordinate system to Cartesian coordinate system so that reference points of driver space were acquired in Cartesian coordinate system after using the segment lengths of drivers and the joint angles of driving postures as an input of polar coordinate system. It is expected that reference points of driver space obtained from this research are helpful to the study on package layout that is appropriate for physical characteristics of drivers.

• 한국군사과학기술학회지
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• 제21권3호
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• pp.315-322
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• 2018

Due to the increasing demand for more rapid, precise and accurate geolocation of the targets on video frames from UAVs, an efficient and timely method for correcting sensor models of motion imagery is required. In this paper, we propose a method to adjust or correct sensor models of motion imagery frames using space resection via image matching with reference data. The proposed method adopts image matching between the motion imagery frames and the reference frames which are synthesized from reference data. Ground or reference control points are generated or selected through the matching process in near real time, and are used for space resection to get adjusted sensor models. Finally, more precise and accurate geolocation of the targets can possibly be done on the fly, and we have got the promising result on performance analysis in terms of the geolocation quality.

• 한국CDE학회논문집
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• 제12권4호
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• pp.245-254
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• 2007

This research proposed feature extraction algorithms as an input of STEP Ap214 data, and feature parameterization process to simplify further design change and maintenance. The procedure starts with suppression of blend faces of an input solid model to generate its simplified model, where both constant and variable-radius blends are considered. Most existing cell decomposition algorithms utilize concave edges, and they usually require complex procedures and computing time in recomposing the cells. The proposed algorithm using reference features, however, was found to be more efficient through testing with a few sample cases. In addition, the algorithm is able to recognize depression features, which is another strong point compared to the existing cell decomposition approaches. The proposed algorithm was implemented on a commercial CAD system and tested with selected industrial product models, along with parameterization of recognized features for further design change.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 추계학술대회
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• pp.600-601
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• 2021

제5의 전장인 사이버 공간은 전자기 스펙트럼을 이용하여 사이버 공간과 물리 공간 사이에서 다영역 기동에 활용될 수 있다. 이것은 사이버전과 전자전의 특징을 융합하는 사이버전자전의 주요 개념이 된다. 본 연구에서는 OSI 참조 모델을 활용하고, 2계층 데이터링크 계층의 위협 요소를 살펴봄으로써, 사이버전자전 개념을 분석한다.

• 로봇학회논문지
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• 제18권2호
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• pp.182-188
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• 2023

Due to the acceleration of an aging society, the need for lower limb exoskeletons to assist gait is increasing. And for use in daily life, it is essential to have technology that can accurately estimate gait phase even in the walking environment and walking speed of the wearer that changes frequently. In this paper, we implement an LSTM-based gait phase estimation learning model by collecting gait data according to changes in gait speed in outdoor level ground and stair environments. In addition, the results of the gait phase estimation error for each walking environment were compared after learning for both max hip extension (MHE) and max hip flexion (MHF), which are ground truth criteria in gait phase divided in previous studies. As a result, the average error rate of all walking environments using MHF reference data and MHE reference data was 2.97% and 4.36%, respectively, and the result of using MHF reference data was 1.39% lower than the result of using MHE reference data.

• 한국해양환경ㆍ에너지학회지
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• 제2권2호
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• pp.78-85
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• 1999

해상에서의 수색구조를 위하여 한국 남해를 대상으로 표류물체 추적모델을 연구하였다. 본 연구의 모델에서는 환경외력 조건으로서 바람과 해수유동을 고려하였으며, 주어진 환경외력 조건에 의해 결정된 위치의 표준편차로서 수색범위를 결정하였다. 표류선박의 추적을 위한 환경외력 조건은 한국 남해와 서해에 대해 구축된 데이터베이스를 이용하여 실시간으로 예측하여 적용하였다. 본 모델에 의한 계산 결과는 실제 조난선박의 표류경로와 비교하였으며, 계산에서 예측된 표류경로 및 수색범위는 조난선박의 표류경로를 잘 재현하는 것으로 나타났다.

• 대한수학회지
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• 제58권1호
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• pp.1-28
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• 2021

We study a continuous data assimilation algorithm for the three-dimensional simplified Bardina model utilizing measurements of only two components of the velocity field. Under suitable conditions on the relaxation (nudging) parameter and the spatial mesh resolution, we obtain an asymptotic in time estimate of the difference between the approximating solution and the unknown reference solution corresponding to the measurements, in an appropriate norm, which shows exponential convergence up to zero.

• 한국비블리아학회지
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• 제24권4호
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• pp.23-51
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• 2013

이 연구는 정부기능분류체계가 기록분류에 어떻게 적용되고 있는지, 그 가능성과 한계는 무엇인지 밝히기 위한 것이다. 자료 수집을 위해 6개 중앙행정기관의 기록관리전문직 6명을 대상으로 3회에 걸친 집단면담을 실시하였다. 우선 공공기록물관리법률 분석을 통해 기록물분류제도를 살펴본 후, 정부기능분류체계를 기록분류에 적용함으로써 얻을 수 있는 편익의 유형을 조사하였다. 면담 자료를 토대로 단위과제를 활용한 기록물철 분류의 실태와 문제점을 구조 및 운용 측면에서 분석하였다.