• Proceedings of the KIEE Conference
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• 2000.07d
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• pp.2452-2454
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• 2000

현재, 전차선의 트롤리선을 설치하는 것은 수작업에 의해 행해지고 있어 작업의 효율화와 함께 최적의 장력제어가 필요하다. 케이블을 새롭게 가설하는 장치는 케이블을 릴에 감아 올릴 필요성은 거의 없기 때문에 케이블을 풀어주는 속도와 로드셀에 의해 장력을 검출하고 장력을 발생하는 하드웨어 구성방법을 연구하는 것이다 본 연구는 현수형 케이블(Catenary Cable)의 동적 모델링을 작성한다. 이 시스템에 대하여 교류서보 전동기를 이용한 장력 발생장치를 모델링한다. 현수형 시스템의 장력계측 장치는 하중변환기(load cell)를 사용하고 수학적 모델링을 행한다. 장력계측 장치에 관해서 스프링 저울을 이용해 출력을 비교 검토한 결과, 인장력을 계측하는 장치로서의 유효성을 확인하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.385-386
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• 2009

활성 윤곽선 모델은 스네이크 모델이라고도 하며 영상에서 물체의 경계를 검출하기위한 효과적인 방법으로 사용되고 있다. 본 논문에서는 초기 윤곽선 문제와 효과적인 경계선 검출을 위해 다해상도 기반의 유전자 알고리즘을 이용한 활성 윤곽선 모델을 제안한다. 입력영상의 해상도를 영상 피마리드 기법으로 저해상도로 축소시키고 초기 윤곽선을 설정한다. 설정된 윤곽선상의 연속된 두 좌표를 유전인자로 선택하고, 유전 연산자를 적용하여 물체의 경계를 찾아간다. 경계가 검출된 저해상도 영상을 단계적으로 확대하여, 보간될 영역의 국부적 활성 윤곽선 에너지를 계산하여 최소 에너지를 갖는 위치에 새로운 윤곽선 좌표를 삽입하여 경계를 형성한다. 제안된 방법은 초기 윤곽선의 위치에 상관없이 경계선을 검출했으며, 형태가 복잡한 물체의 경우에도 효과적으로 경계선을 검출하고 계산 복잡도를 감소시켰다.

• 대한방사선방어학회:학술대회논문집
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• 2011.04a
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• pp.38-39
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• 2011

• Journal of Radiation Protection and Research
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• v.26 no.4
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• pp.393-398
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• 2001

The non-combustible RI wastes disposed of in hospital every year emit ${\gamma}$-ray or ${\beta}$-ray but their activities are very low to the extent of background. Development of more simple methods is needed because the conventional detection methods are so ineffective and complex. In this study, to solve this problem, detection method using efficiency curve for ${\gamma}$-ray emitting radioactive wastes measurement is proposed and experimental detection efficiency equation is also determined through HPGe's standard specimen measurement. For ${\beta}$-emitting radioisotopes detection, new measurement method using detection efficiency estimated by Monte Carlo simulation and SBD measurements is also proposed. According to the results of this paper, the unknown activity of low-level radioactive wastes without LSC requiring the preparation of standard sample and measurement for standard source detection efficiency could be determined efficiently and simply about ${\pm}17%$ in errors by using the theoretical detection efficiency and the SBD measurement result.

• Journal of the Society of Naval Architects of Korea
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• v.38 no.3
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• pp.54-61
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• 2001

It is expected that ISO issue a standard method for sea trial and the correction of data taken during speed trial. One of the major reason for this effort(or trend) is to get reliable and accurate sea trial measurement. With the same philosophy, SHI(Samsung Heavy Industries) developed a nautical signal integrated unit in 1996. Two years after this, SHI developed a software that enable the user to analyze the sea trial measurement on-board. After a series of stationary and performance tests, KR has issued a certificate for international application of the software. We have been utilizing this program for the measurement and analysis of sea trial of more than 70 ships built in SHI shipyard. However, one critical defect of the software has been that it can be applied only for single shaft vessels. In this short paper, we would like to introduce a new version of the software which can be used for both single and multi thruster vessels. This paper deals with the introduction, test method and some of the test result.

• The korean journal of orthodontics
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• v.25 no.2 s.49
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• pp.153-163
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• 1995

In this study, Receiver Operating Characteristic(ROC) analysis was used to evaluate the ability of cephalometric measurements to identify patients with Class III malocclusions. ROC analysis is the method for determining the validity of a diagnostic measure and for evaluating the relative value of diagnostic tests. The sample consisted of 496 patients with malocclusion. Class III malocclusion is defined as the dental relationship for which The mesiobuccal groove of the lower first molar is deviated mesially from the mesiobuccal cusp of the upper first molar. Of the total sample of 496 patients, 245 had Class III malocclusions. 16 cephalometric measurements were selected, each of which was treated as a diagnostic test. The ROC curves were generated for each cephalometric measurement with intervals of $1.0^{\circ}$ for angular measurements, 1.0mm for linear measurements. The area under the ROC curves was measured for direct comparison among different diagnostic tests. The results were as follows; 1. The 'Wits' appraisal was found to be a better diagnostic criterion for the presence of Class III malocclusion than any other commonly'used cephalometric measurement. 2. AB plane angle, ANB angle, App-Bpp distance, AF-BF distance, APDI, Distance of point A and Pog to N perpendicular, maxillomandibular differential had high diagnostic value. 3. Cephalometric measurements which evaluate the position of the mandible had moderate diagnostic value. 4. Cephalometric measurements related to the maxilla discriminated least between patients with and without Class III malocclusion.

• Journal of the Society of Disaster Information
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• v.18 no.1
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• pp.80-90
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• 2022

Purpose: The objective of this study was to improve smart monitoring and monitoring management technology in long tunnels by investigating and analyzing the normal operation rates of monitoring hardware in the long tunnels of high-speed and urban railways. Method: This study evaluated, analyzed, and compared the normal operation rate of 6-8 types of monitoring hardware for each long tunnel, targeting three high-speed railway lines with a long tunnel (i.e., Suseo-Pyeongtaek Line, Gyeongbu Line, and Honam Line) and two urban railway groups with a long tunnel (i.e., Seoul Metro Lines 5, 6, and 7, and 9). Result: The rank of the normal operation rate of monitoring hardware was in the order of Suseo-Pyeongtaek High-Speed Railway (92.1%), Seoul Metro Lines 5, 6, and 7 (85.8%), Seoul Metro Line 9 (85.2%), Gyeongbu High-speed Railway (80.5%), and Honam High-speed Railway (46.7%). Conclusion: The mean normal operation rate of the monitoring hardware in the three high-speed railway long tunnels was 83.4%, and that of the two urban railway long tunnels was 85.5%, indicating that the deviation between them was small. The mean normal operation rate of the monitoring hardware in the long tunnels of the five high-speed and urban railway lines was 84.2%.

• Proceedings of the Korean Society for Bio-Environment Control Conference
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• 1993.05a
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• pp.11-11
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• 1993

농업 생산시설의 환경제어장치를 one chip microcomputer를 사용하여 설계, 제작하였으며 실시간 복합 제어 기능을 수행할 수 있는 운영 프로그램을 개발하였다. 제어 장치의 microcomputer 는 6 개의 analog input 선을 포함하여 45 개의 입.출력선을 가진 8 bit microcomputer chip을 사용하였다. 농업환경인 온도, 습도, 조도는 센서를 직접 접속하여 계측 할 수 있도록 계측 module을 포함시켰다. (중략)

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2013.10a
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• pp.85-87
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• 2013

깊이가 제한된 천수역을 운항하는 선박의 경우, 선저면의 동유체력변화로 인해 선박의 흘수가 증가하는 스쿼트 현상이 나타난다. 본 연구에서는 KVLCC2선형을 대상으로 H/T(Depth/Draft) = 2.0, 1.5, 1.2의 천수조건에서 모형선의 속도변화, 프로펠러 유무에 따른 모형선박의 상하동요, 종동요 자세변화를 계측하였다. 또한 계측된 모형선의 상하동요변화는 Tuck/Huuska, Barrass 2, Eryuzlu 등의 경험식에 따른 결과와 비교하여 그 유효성을 검증하였다.

• The korean journal of orthodontics
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• v.27 no.1
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• pp.129-140
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• 1997

Conventional cephalometrics have inherent errors because their evaluation is performed in two-dimension for threedimensional object. To compensate these errors, three-dimensional cephalograms - derivation of three-dimensional data from conventional lateral and postero-anterior cephalograms - were developed. In this study, the accuracy and precision of three dimensional cephalograms were determined by means of 10 linear and 12 angular measurements on 36 acrylic skull models and by the comparison of conventional lateral cephalograms. The results were as follows 1. Mean difference between three-dimensional cephalograms and actual models in linear measurements was $0.94{\pm}0.62mm$ and mean rate of magnification of three-dimensional cephalograms was $100.31{\pm}0.91%$. There were no statistically significant differences between three-dimensional cephalograms and actual models in linear measurements(${\alpha}=0.1$). 2. Mean difference between conventional lateral cephalograms and actual models in linear measurements was $6.44{\pm}1.48mm$ and mean rate of magnification of lateral cephalograms was $106.99{\pm}1.45%$. There were statistically significant differences between lateral cephalograms and actual models in linear measurements(P<0.005). 3. Mean difference between three-dimensional cephalograms and actual models in angular measurements was $1.22{\pm}0.82^{\circ}$ and mean rate of magnification of three-dimensional cephalograms was $105.71{\pm}12.07%$. There were no statistically significant differences between three-dimensional cephalograms and actual models in angular measurements(${\alpha}=0.1$). 4. Mean difference between conventional lateral cephalograms and actual models in angular measurements was $1.70{\pm}0.94^{\circ}$ and mean rate of magnification of lateral cephalograms was $106.35{\pm}15.70%$. There were no statistically significant differences between lateral cephalograms and actual models in angular measurements(${\alpha}=0.1$). There were similarity between three-dimensional and lateral cephalograms in angular measurements.