• Clinical Pain
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• 제20권1호
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• pp.15-19
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• 2021

There are many wrist and hand diseases in which ultrasound can help in the diagnosis and treatment. Because many small structures are located, identifying anatomical locations and pathways is especially important. In De Quervain's syndrome, it is necessary to find tendon lesions located in the first compartment of the wrist. If injection therapy is required, administer the regimen accurately within the tendon sheath through ultrasound. In carpal tunnel syndrome, there are several methods to diagnose a disease by measuring cross-sectional area of the median nerve. Ultrasound has the advantage of administering injection therapy without damaging the nerve. Intersection syndrome can be diagnosed by observing swelling and hypoechoic appearances at the point where the tendons of the first compartment cross over the second compartment of the wrist. Ultrasound-guided injection is also safe and efficient. If there is a trigger finger lesion, the most representative findings is to observe a nodular hypoechoic thickening of the involved A1 pulley. When injection therapy is performed, it is effective to administer medication between pulley and flexor tendons as much as possible to reduce pressure on the attached structures.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.784-791
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• 2022

Tack coat is a thin layer of asphalt between the existing pavement and asphalt overlay. During construction, insufficient tack coat layering can later cause surface defects such as slippage, shoving, and rutting. This paper proposed a method for tack coat inspection improvement using an unmanned aerial vehicle (UAV) and deep learning neural network for automatic non-uniform assessment of the applied tack coat area. In this method, the drone-captured images are exploited for assessment using a combination of Mask R-CNN and Grey Level Co-occurrence Matrix (GLCM). Mask R-CNN is utilized to detect the tack coat region and segment the region of interest from the surroundings. GLCM is used to analyze the texture of the segmented region and measure the uniformity and non-uniformity of the tack coat on the existing pavements. The results of the field experiment showed both the intersection over union of Mask R-CNN and the non-uniformity measured by GLCM were promising with respect to their accuracy. The proposed method is automatic and cost-efficient, which would be of value to state Departments of Transportation for better management of their work in pavement construction and rehabilitation.

• 대한의용생체공학회:의공학회지
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• 제44권5호
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• pp.354-361
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• 2023

Most of spinal diseases are diagnosed based on the subjective judgment of a specialist, so numerous studies have been conducted to find objectivity by automating the diagnosis process using deep learning. In this paper, we propose a method that combines segmentation and feature extraction, which are frequently used techniques for diagnosing spinal diseases. Four models, U-Net, U-Net++, DeepLabv3+, and M-Net were trained and compared using 1000 X-ray images, and key-points were derived using Douglas-Peucker algorithms. For evaluation, Dice Similarity Coefficient(DSC), Intersection over Union(IoU), precision, recall, and area under precision-recall curve evaluation metrics were used and U-Net++ showed the best performance in all metrics with an average DSC of 0.9724. For the average Euclidean distance between estimated key-points and ground truth, U-Net was the best, followed by U-Net++. However the difference in average distance was about 0.1 pixels, which is not significant. The results suggest that it is possible to extract key-points based on segmentation and that it can be used to accurately diagnose various spinal diseases, including spondylolisthesis, with consistent criteria.

• 농업과학연구
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• 제50권3호
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• pp.357-364
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• 2023

In this study, we propose a ripe tomato bunch localization method based on convolutional neural networks, to be applied in robotic harvesting systems. Tomato images were obtained from a smart greenhouse at the Rural Development Administration (RDA). The sample images for training were extracted based on tomato maturity and resized to 128 × 128 pixels for use in the classification model. The model was constructed based on four-layer convolutional neural networks, and the classes were determined based on stage of maturity, using a Softmax classifier. The localization of the ripe tomato bunch region was indicated on a class activation map. The class activation map could show the approximate location of the tomato bunch but tends to present a local part or a large part of the ripe tomato bunch region, which could lead to poor performance. Therefore, we suggest a recursive method to improve the performance of the model. The classification results indicated that the accuracy, precision, recall, and F1-score were 0.98, 0.87, 0.98, and 0.92, respectively. The localization performance was 0.52, estimated by the Intersection over Union (IoU), and through input recursion, the IoU was improved by 13%. Based on the results, the proposed localization of the ripe tomato bunch area can be incorporated in robotic harvesting systems to establish the optimal harvesting paths.

• 통상정보연구
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• 제12권2호
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• pp.59-83
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• 2010

The purposes of the study is to evaluate the discrepancy between user's expectation and satisfaction degree in the service of uTradeHub. In this regard, this study infers general solutions in order to induce the intersection area using IPA technique. Then this paper will present directions to improve the service of uTradeHub. In terms of methodology, this article disclosed that IPA model approach is greatly useful to evaluate user's attribute. First, variables like the link of different works(f1), trust of system(f4), information connection(f7) are located on the first quadrant. This means that importance and satisfaction are all high variables for user. So, this is very important variables that need continuous administration in order to maintain present state. Second, variables such as the speed of information acquisition(f2), improvement of use(f3), stability of system(f5) are located on the second quadrant. This means that user's importance is high but user's satisfaction is low. Therefore, this area needs an active improvement strategy and quick maintenance for e-Trade application. Third, variables like the appropriateness of information usage fees(f8), easy subscription(f9), customer support service(f10) are located on the third quadrant. Because these variables are all low for user's importance and satisfaction, we have to arrange strong and radical remedy for e-Trade service. Finally, variables like information offer(f6) are located on the fourth quadrant. This means that user's satisfaction is high but user's importance is low. The research result suggests that e-Trade service development would be re-organised as much as user feels the importance of process innovation.

• 한국정보과학회논문지:시스템및이론
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• 제30권3_4호
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• pp.138-148
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• 2003

최근에는 가상 공간을 현실감 있는 영상으로 실시간 렌더링하기 위한 방법으로 모델기반 표현방법 대신 영상 기반 표현 방법을 사용하여 탐색 영상을 생성하는 연구가 활발히 진행중이다. 본 논문에서는 영상 기반 탐색 시스템을 구현하기 위해 새로운 방법인 직각 교차 실린더 매핑과 분할기반 환경 모델 링 방법을 제안한다. 직각 교차 실린더란 두 개의 실린더를 직교하여 교차된 부분만을 표현한 물체를 말한다. 직각 교차 실린더 매핑 방법은 일반적인 환경 맵에서 발생하는 왜곡 현상을 제거하고 환경 맵에서 하나의 픽셀이 차지하는 환경 영역이 거의 일정하다는 특징을 가진다. 이러한 직각 교차 실린더 매핑 방법은 고정된 시점에서 완전 시야를 갖는 영상을 얻어 낼 수 있으나 시점이 변경된 영상을 표현하기 어렵다. 이를 위해 환경을 구성하는 물체들을 기준으로 환경 맵을 분할하고 분할된 물체의 특성에 따라 깊이 값을 설정하는 영상 분할을 통한 환경 모델 링 방법을 사용한다. 이 방법은 환경 맵에 적용하기 용이하며 다중 환경 맵을 사용 시 자세한 환경 모델 링이 가능하다.

• Earthquakes and Structures
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• 제18권2호
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• pp.223-231
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• 2020

Due to the fact that Bingöl province is at the intersection of the North Anatolian Fault and the Eastern Anatolian Fault, the seismicity of the region is important. In this study, probabilistic seismic hazard analyzes (PSHA) were conducted to cover the boundaries of Bingöl province. It occurred since 1900, the seismicity of the region was obtained statistically by considering the earthquake records with a magnitude greater than 4 and the Gutenberg-Richter correlation. In the study, magnitude-frequency relationship, seismic hazard and repetition periods were obtained for certain time periods (10, 20, 30, 40, 50, 75 and 100 years). Once a project area determined in this study, which may affect the peak ground acceleration according to various attenuation relationships are calculated and using the Turkey Earthquake Hazard Map, average acceleration value for Bingöl province were determined. As a result of the probabilistic seismic hazard analysis, the project earthquakes with a probability of exceeding 50 years indicate that the magnitude of the project earthquake is 7.4 and that the province is in a risky area in terms of seismicity. The repetition periods of earthquakes of 6.0, 6.5, 7.0 and 7.5 are 42, 105, 266 and 670 years respectively. Within the province of Bingöl; the probability of exceeding 50 years is 2%, 10% and 50%, while the peak ground acceleration values are 1.03 g, 0.58 g and 0.24 g. As a result, probabilistic seismic hazard analysis shows that the seismicity of the region is high and the importance of considering the earthquake effect during construction is emphasized for this region.

• 한국ITS학회 논문지
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• 제18권6호
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• pp.137-154
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• 2019

본 연구에서는 중앙제어방식 긴급자동차 우선신호를 강북소방서 주변 1.782km 구간에 시험하고 그 효과를 분석하였다. 기존 연구를 검토하여 중앙제어방식과 현장제어방식에 대한 장단점을 비교하였고, 소방서 주변 도로 중 평균 통행속도가 높은 상위 지역 중 왕복 4차로에서 6차로에 해당되는 지역을 시험 대상 지역으로 선정하였다. 우선신호는 긴급자동차 속도로 교차로 도착 예정 시각을 산정, 녹색 신호를 연장하는 방식을 적용하였다. 우선신호 적용 효과는 긴급 자동차 GPS 궤적을 분석하여 속도와 이동시간으로 분석하였고, 주변 교통흐름에 미치는 영향은 긴급자동차 주행방향과 다른 방향의 대기행렬 길이조사를 통해 분석하였다. 시범사업 결과 긴급차량의 평균 통행시간이 41.81% 감소하였고 혼잡한 몇 개의 교차로를 제외한 대부분의 교차로에서의 지체 증가는 매우 적었다. 향후 Early Green과 전이과정에서 우선신호에 대한 보상방법에 대한 연구를 한다면 긴급자동차 우선신호 적용지역을 확대할 수 있을 것으로 기대된다.

• 한국지역사회생활과학회지
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• 제17권4호
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• pp.97-112
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• 2006

For 387 married women in their 20s to 50s, we inquired about the differences in whether they intended on moving into a welfare facility, depending on their views on supporting the elderly and the burden of supporting elderly parents, and tried to find out factors that would affect their decision to move into a welfare facility. With those objectives in mind, we conducted a survey targeting married women in their 20s to 50s who live in Seoul, Daejun or a city or county in Choongnam-do, and carried out frequency analysis, intersection analysis, one-way ANOVA and judge analysis. Our findings from those analyses are summarized as follows. First, when considering married women's characteristics and examining their intention of moving into a welfare facility for the elderly, there was a meaningful difference in their intention depending on age, academic background, occupation, and area of residence. Second, our analysis of the differences in their intention of moving in, based on married women's view on supporting the elderly and the burden of supporting elderly parents, indicates that due to these responsibilities, the greatest number of married women expressed their intention of moving in if a convenient facility for the elderly and service were provided. However, the analysis for the intention of moving in depending on savings for old age, did not exhibit any meaningful difference. Third, from the examination of determining factors for married women's intention of moving into a welfare facility for the elderly, based on age, academic background, occupation, residential area, responsibility for supporting an elderly family member and savings for old age, it was found that the burden of support was the only meaningful effective factor.

• 터널과지하공간
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• 제27권2호
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• pp.77-88
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• 2017

연구지역의 지질은 주로 역암과 사암, 협재한 셰일 및 현무암류로 구성되고, 신생대 말에서 최근기간 동안 여러 번의 취성변형작용과 다양한 응력장을 거치면서 비교적 최근까지 움직임이 확인된 암반으로서 단층작용의 영향을 많이 받아 파쇄가 심한 완만한 지형을 형성한다. 비탈면은 북북동주향의 태곡단층과 서북서 주향의 북곡단층이 교차하는 지역에 위치하며, 그 구성 암반에는 여러 규모의 수많은 단층과 단층대 및 파쇄대가 발달하고 있다. 본 연구에서는 비탈면에 대한 지질특성을 파악하고 이에 따른 대책공법을 제시하고자 한다. 연구지역 비탈면에 대한 대책공법으로 시공 중 혹은 보강이 완료된 이후에도 주변도로 및 지반에 대한 안전관리를 위하여 각 구조물별 사안에 따라 계측기를 설치하여 주기적인 계측 및 분석이 꾸준히 수행되어야 할 것으로 사료된다.