• Structural Engineering and Mechanics
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• 제17권3_4호
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• pp.527-537
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• 2004

Consequence-Based Engineering (CBE) is a new paradigm proposed by the Mid-America Earthquake Center (MAE) to guide evaluation and rehabilitation of building structures and networks in areas of low probability - high consequence earthquakes such as the central region of the U.S. The principal objective of CBE is to minimize consequences by prescribing appropriate intervention procedures for a broad range of structures and systems, in consultation with key decision makers. One possible intervention option for rehabilitating unreinforced masonry (URM) buildings, widely used for essential facilities in Mid-America, is passive energy dissipation (PED). After the CBE process is described, its application in the rehabilitation of vulnerable URM building construction in Mid-America is illustrated through the use of PED devices attached to flexible timber floor diaphragms. It is shown that PED's can be applied to URM buildings in situations where floor diaphragm flexibility can be controlled to reduce both out-of-plane and in-plane wall responses and damage. Reductions as high as 48% in roof displacement and acceleration can be achieved as demonstrated in studies reported below.

• Archives of Plastic Surgery
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• 제51권3호
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• pp.275-283
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• 2024

Background Shortage of speech and language therapists results in lack of speech services. The aims of this study were to find the effectiveness of a combination speech therapy model at Level IV: General speech and language pathologist (GSLP) and Level V: Specific speech and language pathologist (SSLP) in reduction of the number of articulation errors and promotion the quality of life (QoL) for children with cleft palate with or without cleft lip (CP ± L). Methods Fifteen children with CP ± L, aged 4 years 1 month to 10 years 9 months (median = 76 months; minimum:maximum = 49:129 months) were enrolled in this study. Pre- and post-assessment included oral peripheral examination; articulation tests via Articulation Screening Test, Thai Universal Parameters of Speech Outcomes for People with Cleft Palate, Hearing Evaluation, The World Health Organization Quality of Life Brief_Thai (WHOQOL-BRIEF-THAI) version questionnaire for QoL were performed. Speech therapy included a 3-day intensive speech camp by SSLP, five 30-minute speech therapy sessions by a GSLP, and five 1-day follow-up speech camps by SSLP that provided four 45-minute speech therapy sessions for each child. Results Post-articulation revealed statistically significant reduction of the numbers of articulation errors at word, sentence, and screening levels (median difference [MD] = 3, 95% confidence interval [CI] = 2-5; MD = 6, 95% CI = 4.5-8; MD = 2.25, 95% CI = 1.5-3, respectively) and improvement of QoL. Conclusion A speech task force consisting of a combination of Level IV: GSLP and Level V: SSLP could significantly reduce the number of articulation errors and promote QoL.

• 한국컴퓨터정보학회논문지
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• 제28권3호
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• pp.25-33
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• 2023

CT 영상의 획득 및 전송 등의 과정에서 발생하는 잡음은 영상의 질을 저하시키는 요소로 작용한다. 따라서 이를 해결하기 위한 잡음제거는 영상처리에서 중요한 전처리 과정이다. 본 논문에서는 딥러닝의 convolutional autoencoder (CAE) 모형에서 기존 컨볼루션 연산 대신 deformable 컨볼루션 연산을 적용한 deformable convolutional autoencoder (DeCAE) 모형을 이용하여 잡음을 제거하고자 한다. 여기서 deformable 컨볼루션 연산은 기존 컨볼루션 연산보다 유연한 영역에서 영상의 특징들을 추출할 수 있다. 제안된 DeCAE 모형은 기존 CAE 모형과 같은 인코더-디코더 구조로 되어있으나 효율적인 잡음제거를 위해 인코더는 deformable 컨볼루션 층으로 구성하고, 디코더는 기존 컨볼루션 층으로 구성하였다. 본 논문에서 제안된 DeCAE 모형의 성능 평가를 위해 다양한 잡음, 즉, 가우시안 잡음, 임펄스 잡음 그리고 포아송 잡음에 의해 훼손된 CT 영상을 대상으로 실험하였다. 성능 실험 결과, DeCAE 모형은 전통적인 필터 즉, Mean 필터, Median 필터와 이를 개선한 Bilateral 필터, NL-means 방법 뿐만 아니라 기존의 CAE 모형보다 정성적이고, 정량적인 척도 즉, MAE (Mean Absolute Error), PSNR (Peak Signal-to-Noise Ratio) 그리고 SSIM (Structural Similarity Index Measure) 면에서 우수한 결과를 보였다.

• 한국물환경학회지
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• 제24권2호
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• pp.185-194
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• 2008

There is increased soil erosion potential at highland agricultural crop fields because of its topographic characteristics and site-specific agricultural management practices performed at these areas. The agricultural upland fields are usually located at the sloping areas, resulting in higher soil loss, pesticides, and nutrients in case of torrential rainfall events or typhoon, such as 2002 Rusa and 2003 MaeMi. At the highland agricultural fields, the soil reconditioning have been performed every year to decrease damage by continuous cropping and pests. Also it has been done to increase crop productivity and soil fertility. The increased amounts of soil used for soil reconditioning are increasing over the years, causing significant impacts on water quality at the receiving water bodies. In this study, the field investigation was done to check soil reconditioning status for potato, carrot, and cabbage at the Doam-dam watershed. With these data obtained from the field investigation, the Soil and Water Assesment Tool (SWAT) model was used to simulate the soil loss reduction with environment-friendly and agronomically enough soil reconditioning. The average soil reconditioning depth for potato was 34.3 cm, 48.3 cm for carrot, and 31.2 cm for cabbage at the Doam-dam watershed. These data were used for SWAT model runs. Before the SWAT simulation, the SWAT ArcView GIS Patch, developed by the Kangwon National University, was applied because of proper simulation of soil erosion and sediment yield at the sloping watershed, such as the Doam-dam watershed. With this patch applied, the Coefficient of Determination ($R^2$) value was 0.85 and the Nash-Sutcliffe Model Efficiency (EI) was 0.75 for flow calibration. The $R^2$ value was 0.87 and the EI was 0.85 for flow validation. For sediment simulation, the $R^2$ value was 0.91 and the EI was 0.70, indicating the SWAT model predicts the soil erosion processes and sediment yield at the Doam-dam watershed. With the calibrated and validated SWAT for the Doam-dam watershed, the soil erosion reduction was investigated for potato, carrot, and cabbage. For potato, around 19.3 cm of soil were over applied to the agricultural field, causing 146% of more soil erosion rate, approximately 33.3 cm, causing 146% of more soil erosion for carrot, and approximately 16.2 cm, causing 44% of more soil erosion. The results obtained in this study showed that excessive soil reconditioning are performed at the highland agricultural fields, causing severe muddy water issues and water quality degradation at the Doam-water watershed. The results can be used to develop soil reconditioning standard policy for various crops at the highland agricultural fields, without causing problems agronomically and environmentally.

• 한국멀티미디어학회논문지
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• 제8권3호
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• pp.345-354
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• 2005

실시간 동영상에서의 프레임간의 상관관계를 이용하여 움직임 추정과 움직임 보상기법을 수행한다. 이 방법은 동영상에 존재하는 중복된 데이터를 제거하기 때문에 실시간 영상에서 중요한 역할을 하지만 실시간 응용 및 고해상도 응용에 적용하기에는 많은 계산량을 필요로 한다. 따라서 움직임 벡터를 결정하기 전에 블록 내부의 움직임을 예측한다면, 이를 바탕으로 탐색 영역에서 초기 탐색점 위치와 탐색 패턴을 결정할 수 있을 것이다. 본 논문에서는 차영상을 통해 움직임의 검출되었을 때, 이 움직임의 물체의 반복적인 영상인지, 아니면 침입자가 발생한 영상인지를 구분하였으며 움직임 검출 영역 간 픽셀 값의 분포도를 나타낸다. 제안된 알고리즘은 움직임 보상 예측된 화질 및 계산량의 감소에 있어서 높은 성능 향상을 보였다.

• 한국농림기상학회지
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• 제4권4호
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• pp.203-212
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• 2002

주로 도시에 소재하는 표준기상관측소 자료의 공간 내삽에 의해 일 최저기온의 평년값을 추정할 때, 도시 열섬효과의 전이에 의해 전원지역에서 과다추정 되는 오류를 수정하기 위해 본 연구를 수행하였다. 도시열섬효과의 공간적인 확산을 모의하기 위해 먼저 불연속적인 변량인 시군 행정구역단위 인구를 지표피복도 상의 시가지 픽셀에만 할당하여 규칙적인 격자점 단위의 평균인구로 변환함으로써 연속적인 변량인 수치인구모형(DPM)으로 표현하였다. 다섯 가지 평활화 DPM 가운데 최적으로 판명된 사방 2.5 km DPM과 기온추정 오차간 회귀식을 기존의 거리-고도 보정 내삽과정에 결합하였다. 이 방법을 적용하여 추정된 평년(1971-2000) 월별 일 최저기온의 추정오차는 기존방법에 비해 최소 50%가 개선되었다.

• Biomolecules & Therapeutics
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• 제30권3호
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• pp.238-245
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• 2022

Previous reports have demonstrated that genetic mechanisms greatly mediate responses to drugs of abuse, including methamphetamine (METH). The circadian gene Period 2 (Per2) has been previously associated with differential responses towards METH in mice. While the behavioral consequences of eliminating Per2 have been illustrated previously, Per2 overexpression has not yet been comprehensively described; although, Per2-overexpressing (Per2 OE) mice previously showed reduced sensitivity towards METH-induced addiction-like behaviors. To further elucidate this distinct behavior of Per2 OE mice to METH, we identified possible candidate biomarkers by determining striatal differentially expressed genes (DEGs) in both drug-naïve and METH-treated Per2 OE mice relative to wild-type (WT), through RNA sequencing. Of the several DEGs in drug naïve Per2 OE mice, we identified six genes that were altered after repeated METH treatment in WT mice, but not in Per2 OE mice. These results, validated by quantitative real-time polymerase chain reaction, could suggest that the identified DEGs might underlie the previously reported weaker METH-induced responses of Per2 OE mice compared to WT. Gene network analysis also revealed that Asic3, Hba-a1, and Rnf17 are possibly associated with Per2 through physical interactions and predicted correlations, and might potentially participate in addiction. Inhibiting the functional protein of Asic3 prior to METH administration resulted in the partial reduction of METH-induced conditioned place preference in WT mice, supporting a possible involvement of Asic3 in METH-induced reward. Although encouraging further investigations, our findings suggest that these DEGs, including Asic3, may play significant roles in the lower sensitivity of Per2 OE mice to METH.

• 유기물자원화
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• 제31권4호
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• pp.29-39
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• 2023

본 연구에서는 의료폐기물에 대해 평상시 상황과 대규모 감염병 발병 상황으로 구분하여 발생 특성을 분석하였다. 평상시 상황에서는 회귀분석을 통해 의료폐기물 종류별 발생량 예측 모델을 수립하였으며, 유의값(p)은 모두 < 0.0001로 통계적으로 유의미하였다. 각 분류별 예측 모델식의 결정계수(R²) 값은 I-MW(R²=0.9943) > G-MW(R²=0.9817) > H-MW(R²=0.9310) 순으로 분석되었다. 또한, 기존 문헌과 유사한 결과로 영향인자로 사용된 GDP(G-MW), 의료기관 수(H-MW), 고령 인구비(I-MW)는 모두 높은 상관성을 나타내었다. 각 모델식을 종합한 총 의료폐기물 발생량의 MAE는 2,615, RMSE 3,353로 평가되어 H-MW(2,491, 2,890)와 I-MW(2,291, 3,267) 의료폐기물 모델식과 유사한 수준의 정확도를 나타내는 것이 확인되었다. 단기간 내 대량 발생하는 감염병 사태 시기의 의료폐기물 발생 특성은 정확한 추정이 제한적이므로 격리의료폐기물의 발생원단위를 분석하였다. 감염병 초기인 불안정기 8.74 kg/인·일, 안정기 2.69 kg/인·일, 감소기 시기 평균 0.08 kg/인·일의 발생원단위를 나타내었다. 격리의료폐기물 발생원단위와 치명률 간의 상관분석 결과, 불안정기 +0.99, 안정기 +0.52, 감소기 +0.96으로 나타났으며, 감염병 발병 전체시기에서 +0.95 이상의 매우 높은 양의 상관성을 나타내는 것이 확인되었다. 본 연구에서 도출된 연구결과는 보건 의료상에 적절한 의료폐기물 관리시스템을 구축하는 데 유용한 역할을 수행할 수 있을 것으로 기대된다.

• 대한디지털의료영상학회논문지
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• 제13권2호
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• pp.63-69
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• 2011

Table strapis patient fixture for securing the patient movements and falls. if it designed to measure the abdominal circumference and used as an indicator of dose selection at CT scan. it will prevent the overexposure of dose without degradation of image quality and efficiently manage dose of each type of body to technician to deal with CT. First, in order to compare the dose used in CT image and qualitative characteristics. reference image is obtained by examining the abdominal phantom in same conditions with the hospital 120 kVp, 200 mAs, D-Dom (Dynamic Dose Of Modulation). SNR, PSNR, RMSE, MAE, CTDIvol of CT images are compared with reference image. for comparing with reference image, the image that Umbilicus level image of Abdomen CT is stored in the PACS were used. For comparison, the top 12 o'clock portion of the air drawn from the same ROI was measured. CTDIvol, mAs, etc. In order to analyze the characteristics of the image, by measuring the length of the umbilicus circumference, pattern of the dose was analyzed. by using the analyzed perimeter and dose information, To be identified visually, fixed band that scale marked were produced. Use them, If the length of circumference of less than 60 cm 100 mAs, Case of 61~80 cm 120 mAs, Case of 80~100 cm 150 mAs, more than 100 cm 200 mAs, dose selection based on the perimeter, the image was applied. by compare analyzed with the Reference Image, image quality was assessed. by compare with existing tests that equally 200 mAs applied, How much was confirmed that the dose reduction. 1. Depending on the Abdominal circumference, the average PSNR(dB) of the image that differently dose applied was 45.794. 2. Comparing with existing test. the dose of scan that adjusted the mAs depending on the circumference was decreased about 40%. SNR and PSNR of the image that obtained by adjusting the standard mAs based on dose modulation were not much different. Therefore, By choosing a low mAs. dose reduction can be obtained. and the dose selection method that measured Abdominal circumference using a fixed band can protect the overexposure and uniformly apply dose of each type of body to technician to deal with CT.

• 한국수자원학회논문집
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• 제57권3호
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• pp.209-223
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• 2024

4차 산업혁명 시대에 접어들어 데이터 기반의 의사결정이 보편화되고 있다. 하지만 데이터 품질이 확보되지 않은 채 수행되는 데이터 분석은 왜곡된 결과를 낳을 가능성이 존재한다. 수자원 관리의 기초가 되는 수위 데이터도 마찬가지로 결측, 스파이크, 잡음 등 다양한 품질 문제를 가진다. 본 연구에서는 잡음으로 인해 발생하는 데이터 품질 문제를 해결하고자 하였다. 잡음은 데이터의 트렌드 분석을 어렵게 하고 비정상적인 이상치를 생성할 가능성이 있다. 본 연구는 이러한 문제를 해결하기 위해 Wavelet Transform을 이용한 잡음 제거 접근 방안을 제안한다. Wavelet Transform은 신호처리에 주로 사용되는 방법으로 잡음 제거에 효과적인 것으로 알려져 있으며 수집된 데이터의 정답 데이터(True value) 수집을 요구하지 않으므로 시간과 비용을 줄일 수 있다는 점에서 적용이 용이한 편이다. 본 연구는 Wavelet Transform의 성능 평가를 위해 대표적인 머신러닝 기반 잡음 제거 방법인 Denoising Autoencoder와 성능 비교를 수행하였다. 그 결과 Wavelet Transform 중 Coiflets 함수는, Denoising Autoencoder에 비해 Mean Absolute Error, Mean Absolute Percentage Error, Mean Squared Error 등 모든 측면에서 우수한 성능을 보이는 것으로 나타났다. 이러한 결과는 환경에 맞는 적절한 웨이블릿 함수의 선택을 통한 잡음 문제를 효과적으로 해결할 수 있음을 시사한다. 본 연구는 수위 데이터의 품질을 향상시켜 수자원 관리 결정의 신뢰성에 기여하는 강력한 도구로서 Wavelet Transform의 잠재력을 확인한 의의가 있다.