• 대한원격탐사학회지
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• 제19권1호
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• pp.61-70
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• 2003

This paper proposes an autonomous approach to localize the center of fiducial marks included in aerial photographs without precise geometric information and human interactions. For this localization, we present a conceptual model based on two assumptions representing symmetric characteristics of fiducial area and fiducial mark. The model makes it possible to locate exact center of a fiducial mark by checking the symmetric characteristics of pixel value distribution around the mark. The proposed approach is composed of three steps: (a) determining the symmetric center of fiducial area, (b) finding the center of a fiducial mark with unit pixel accuracy, and finally (c) localizing the exact center up to sub-pixel accuracy. The symmetric center of the mark is calculated tv successively applying three geometric filters: simplified ${\nabla}^2$G (Laplacian of Gaussian) filter, symmetry enhancement filter, and high pass filter. By introducing a self-diagnosis function based on the self-similarity measurement, a way of rejecting unreliable cases of center calculation is proposed, as well. The experiments were done with respect to 284 samples of fiducial marks composed of RMK- and RC-style ones extracted from 51 scanned aerial photographs. It was evaluated in the visual inspection that the proposed approach had resulted the erroneous identification with respect to only one mark. Although the proposed approach is based on weak constraints, being free from the exact geometric model of the fiducial marks, experimental results showed that the proposed approach is sufficiently robust and reliable.

• 농업과학연구
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• 제48권3호
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• pp.617-627
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• 2021

In the field of on-road motor vehicles, the level for autonomous driving technology is defined according to J3016, proposed by Society of Automotive Engineers (SAE) International. However, in the field of agricultural machinery, different standards are applied by country and manufacturer, without a standardized classification for autonomous driving technology which makes it difficult to clearly define and accurately evaluate the autonomous driving technology, for agricultural machinery. In this study, a method to classify the autonomy levels for autonomous agricultural machinery (ALAAM) is proposed by modifying the SAE International J3016 to better characterize various agricultural operations such as tillage, spraying and harvesting. The ALAAM was classified into 6 levels from 0 (manual) to 5 (full automation) depending on the status of operator and autonomous system interventions for each item related to the automation of agricultural tasks such as straight-curve path driving, path-implement operation, operation-environmental awareness, error response, and task area planning. The core of the ALAAM classification is based on the relative roles between the operator and autonomous system for the automation of agricultural machines. The proposed ALAAM is expected to promote the establishment of a standard to classify the autonomous driving levels of self-propelled agricultural machinery.

• 드라이브 ㆍ 컨트롤
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• 제18권1호
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• pp.31-38
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• 2021

This study presents a new principle for driving the robot aimed at reducing the position error for the boresonic examination of turbine rotor. The conventional method of inspection is performed by installing manipulator onto the flange of the turbine rotor and connecting a pipe, which is then being pushed into the bore. The longer the pipe gets, the greater sagging and distortion appear, making it difficult for the ultrasonic sensor to contact with the internal surface of the bore. A pneumatic pressure will ensure the front or rear feet of the robot in close contact with the inner wall to prevent slipping, while the ball screw on the body of the robot will rotate to drive it in the axial direction. The compression force required for tight contact was calculated in the form of a three-point support, and a static structural simulation analysis was performed by designing and modeling the robot mechanism. The driving performance and ultrasonic detection ability have been tested by fabricating the robot, the test piece for ultrasonic calibration and the transparent mock-up for robot demonstration. The tests have confirmed that no slipping occurs at a certain pneumatic pressure or over.

• 로봇학회논문지
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• 제17권2호
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• pp.238-244
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• 2022

Maintenance works of offshore wind turbines could take a longer time, which causes the reduction of their energy production efficiency, than those of onshore wind turbines owing to severe offshore environment. Subsequently, preventive maintenance measures are required to increase the production efficiency. Thus, we proposed a wheel-based Underwater Pole Climbing Robot (UPCR) platform, which was aimed at the periodic inspection and maintenance of the substructures of the offshore wind turbines, with three advantages: high speed, good mobility and low power consumption. In the proposed platform, a self-locking system using a gripper module was adopted for preventing slippery problem and a dual configuration was chosen for moving on a branched structure. As a result, the proposed robot was able to continuously climb, preserve it's position at the pole without consuming energy, and move from the pole to the other branched pole. The results of this research show that the UPCR has basic moving capabilities required for the underwater work for the substructures of the offshore wind turbines.

• 한국보건간호학회지
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• 제17권1호
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• pp.83-95
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• 2003

The purpose of this study was to provide basic data for nursing interventions to promote rehabilitation motivation by identifying the influencing factors of motivating rehabilitation intention in patients with spinal cord injury. The data were collected using self-reported questionnaires and questionnaires by postal mail services, from September 1 through the October 6, 2002. A total of 148 questionnaires were completed and returned. The instrument developed by Han, Hye Sook(2001) was used to measure the rehabilitation motivation, and depression, family support, participation of self-help group, self-esteem, and self-efficacy were measured to test the variables influencing the rehabilitation motivation. Using SPSS WIN 10.0, descriptive statistics, t-test, one-way ANOVA. Turkey inspection, Pearson's correlation coefficient, and stepwise multiple regression analysis was conducted. The results of the study are as follows: The rehabilitation motivation score ranged from 30 to 100, and the average was $76.78(\pm12.40)$. In terms of the types of motivation, mean task-oriented motivation score was $23.28(\pm3.39)$, change-oriented motivation $22.25(pm3.16)$, obligatory motivation $9.90(\pm2.02)$, external motivation $9.85(\pm1.89)$, and mean amotivation score was $11.50(\pm1.94)$. The scores for the rehabilitation motivation was significantly associated with the time elapsed since injury, economic status, and the degrees of disability. Significant correlations were found between the rehabilitation motivation and the time elapsed since injury(r=-0.222, p=0.007), self-efficacy(r=0.204, p=0.013), depression(r=-0.210, p=0.010). and the economic status(r=-0.189, p=0.022). The variables that can predict the rehabilitation motivation included the time elapsed since injury, and self-efficacy. These variables accounted for $12.8\%$ of the variance of the rehabilitation motivation. In conclusion, the factors influencing the rehabilitation motivation in patients with spinal cord injury were found to be the time elapsed since injury, self-efficacy, depression, and the economic status of the patient, Accordingly, nursing interventions which could alleviate patients' depression and enhance self-efficacy should be designed to motivate rehabilitation. Before planning nursing interventions for patients with spinal cord injury, needs assessment should be conducted including the assessment of patients' economic status and time elapsed since injury.

• 한국방사선학회논문지
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• 제14권5호
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• pp.563-575
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• 2020

본 연구 목적은 컨테이너 보안 검색용 선형가속기에서 발생하는 방사화 특성을 평가하는 것이다. 전산모사 설계는 첫째, 표적은 텅스텐(Z=74) 단일물질 표적 및 텅스텐(Z=74)과 구리(Z=29) 복합물질 표적으로 구성하였다. 둘째, 부채꼴(Fan beam) 조준기는 물질에 따라 납(Z=82) 단일 물질과 텅스텐(Z-74)과 납(Z=82)의 복합물질로 구성하였다. 셋째 선형가속기가 위치한 방(Room)의 콘크리트는 Magnetite type 및 불순물(Impurity)을 포함하였다. 연구 방법은 첫째, MCNP6 코드를 이용하여 선형가속기 및 구조물을 F4 Tally로 광중성자 플럭스(Flux)를 계산하였다. 둘째, MCNP6 코드에서 계산된 광중성자 플럭스를 FISPACT-II에 적용하여 방사화 생성물을 평가하였다. 셋째, 방사화 생성물의 비방사능을 통해 해체 평가를 진행하였다. 그 결과 첫째, 광중성자 분포는 표적에서 가장 높게 나왔으며, 조준기 및 10 cm 깊이의 콘크리트 순으로 나타났다. 둘째, 방사화 생성물은 텅스텐 표적 및 조준기에서 W-181, 불순물이 포함된 콘크리트에서 Co-60, Ni-63, Cs-134, Eu-152, Eu-154 핵종이 부산물(by-product)로 생성되었다. 셋째, 해체 시 텅스텐 표적은 90일 이후 자체 처분 허용 농도를 만족하는 것으로 보였다. 이러한 결과는 9 MeV 에너지에서의 광중성자 수율(Yield) 및 방사화 정도가 미미한 것으로 확인할 수 있었다. 하지만, 선형가속기 텅스텐 표적 및 조준기에서 발생한 W-181은 수리를 위한 분해 시 피폭의 영향을 줄 수 있을 것으로 생각된다. 따라서, 본 연구는 컨테이너 보안검색용 선형가속기 방사화된 부품관리에 관한 기초 자료를 제시한 것이다. 또한, 컨테이너 보안 검색용 선형 가속기 해체 시 자체처분을 만족하는 농도 기준을 입증하는데 활용될 수 있을 것으로 기대한다.

• 한국산학기술학회논문지
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• 제21권6호
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• pp.317-324
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• 2020

본 논문의 목적은 육상구조물과 비교하여 특수한 설치환경 및 목적을 가지고 있는 항만 외곽시설에 대한 보다 현실적인 침하 평가기준을 제안하는데 있다. 최근 신항만 개발 사업으로 축조된 외곽시설 특히 방파제는 먼 바다의 연약 지반에 설치되는 경우가 많다. 외곽시설은 자중으로 파랑 등의 외력에 직접 저항하는 구조물로 그 중량이 상당하여 연약 지반 위에 설치되는 경우에는 침하가 쉽게 발생하지만 구조물의 안정성 또는 기능성에 큰 영향을 주지 않는다. 하지만 현행의 안전점검 세부지침은 이러한 외곽시설의 특성을 고려하지 않은 침하 평가기준을 제시하고 있다. 이에 보다 현실적으로 외곽시설의 침하를 평가할 수 있는 간편식을 제안하였다. 간편식은 설계에서 고려한 허용잔류침하량과 침하 안정성평가 결과를 적용하여 최대 침하량을 선정하도록 하였다. 제안된 간편식의 적정성을 검증하기 위하여 최근 실시한 방파제 6개소의 측량 평가결과와 제안된 간편식 적용결과를 비교하였다. 간편식을 적용하였을 때, 기존 평가결과보다 침하 평가등급이 상향되었으며, 안정성평가 결과 적용 시에는 실제 측량결과와 거의 유사한 결과가 얻어짐을 확인할 수 있었다. 본 간편식을 활용하여 침하평가를 실시할 경우, 구조물에 안정성 및 기능수행 여부와는 무관하게 낮게 평가되는 기존의 침하평가를 보다 현실적으로 실시할 수 있을 것으로 기대된다.

• 한국빅데이터학회지
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• 제8권1호
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• pp.157-165
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• 2023

수산물은 많은 국가의 주요한 단백질 공급원이며 소비가 증가하고 있다. 우리나라도 수산물 소비는 증가하는 반면 자급률은 낮아지고 있으며, 수산물의 수입량이 증가함에 따라 안전관리의 중요성이 높아지고 있다. 국내로 수입되는 수산물은 110여 개 국가로부터 수백 종에 이르며, 수입 수산물의 안전관리를 검사관의 경험에만 의존하는 것은 한계가 있다. 데이터를 기반으로 수입 수산물 통관검사 결과를 예측할 수 있는 모델을 개발하여 수입신고서가 제출되었을 때 수산물의 부적합 가능성을 판단하는 머신러닝 분류 모델을 생성한다. 수입수산물 통관검사 결과 부적합율은 1% 미만으로 매우 낮은 불균형 데이터이므로 이러한 특성을 보완할 수 있는 샘플링 방법을 비교 연구하였고, 분류결과를 해석할 수 있는 전처리 방법을 적용하였다. 여러 가지 머신러닝 기반의 분류모델 중에서 랜덤포레스트와 XGBoost가 좋은 성능을 보였다. 통관검사 결과 적합과 부적합을 모두 잘 예측하는 모델은 ADASYN과 원-핫 인코딩을 적용한 랜덤포레스트 기본 모델이며 정확도 99.88%, 정밀도 99.87%, 재현율 99.89%, AUC 99.88%이다. XGBoost는 오버샘플링과 인코딩 종류에 상관없이 모든 지표가 90%를 넘겨 가장 안정적인 모델이다.

• 비파괴검사학회지
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• 제23권2호
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• pp.133-139
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• 2003

노후 된 콘크리트 사회기반시설 구조물의 활용성 증대와 수명의 연장을 위하여 여러 가지의 보수보강 방법이 시행되어지고 있으나 최근에는 시공이 용이하고 보강효과가 좋은 탄소섬유시트를 활용하는 방법이 널리 쓰여지고 있다. 탄소 섬유로 보수보강을 할 경우 강도가 증진되고 강성이 향상되어 좋은 방법으로 알려져 있으나, 철근 콘크리트에 비해 연성이 떨어져 파괴 시 취성 파괴의 형태를 보일 수 있다, 그리고 보수보강된 구조물을 보강재로 인하여 크랙의 진전을 맨눈으로 확인하기가 어려워지게 된다. 따라서 구조물의 취약함을 드러내는 시기인 보수보강시 광섬유센서를 내장케 하여 취성파괴를 감시하고 구조물의 거동을 모니터링함으로써 안전한 구조물이 되도록 할 수 있다. 이를 위하여 본 논문에서는 광섬유센서를 이용하여 모재와 보강재의 구조거동을 분석하였으며, Peel out 효과라 불리는 계면 파괴현상을 효과적으로 자기진단 할 수 있음을 입증하였다.

• 보건교육건강증진학회지
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• 제30권5호
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• pp.79-90
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• 2013

Objectives: This study is based on Public Care Service for Chronic Diseases in Incheon Metropolitan City featuring Health-Point Service. It is objective to evaluate whether the service could improve self-management ability of hypertension and diabetes patients. Methods: The knowledge about diabetes and hypertension, which can be improved by educational intervention, is considered as one of the most important factor for self-management ability. While the education service have been conducted, 194 patients who have been diagnosed as hypertension and diabetes within 3 months were included. They completed questionnaires two times within 4 months period, which give information about the knowledge, service registration and education experiences. For further inspection, 396 patients who had been diagnosed formerly were studied by cross-sectional analysis. Results: Regardless of service registration or educational intervention, there wasn't statistically meaningful difference between the initial and the follow-up assessments on the knowledge. However, when investigating formerly diagnosed patients, educated patients had better knowledge on hypertension compared with non-educated patients and registered patients, educated patients had the better knowledge on diabetes compared with non-registered patients, non-educated patients. Additionally, analyzing each questions, educated patients got higher grades in questions about definition of hypertension, diabetes managements which they can practice in daily lives. Conclusions: It is probable that long-term service registration and education experiences could improve the knowledge and self-management ability.