• 한국전문물리치료학회지
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• 제10권1호
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• pp.37-50
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• 2003

The purpose of this study was to compare visual analogue scale (VAS), pain threshold (PT), $%RMS_{RVC}$, and EMG gaps before and after applying transcutaneous electrical nerve stimulation (TENS) on the upper trapezius muscle at the patients with myofascial pain syndrome (MPS). The subjects were 4 men and 10 women composed of both the inpatients and outpatients who were diagnosed as MPS at Wonju Medical Center. VAS and PT measurements were performed to assess the subjective pain level. The reference voluntary contraction (RVC) test was performed for 15 seconds for normalization on the bilateral trapezius muscle using surface electromyography (sEMG). After 3-minute resting time, the EMG signal was recorded while performing a typing activity for 2 minutes and then TENS was applicated with a comfortable intensity for 10 minutes. The EMG activity of the upper trapezius muscle was recorded during typing for 2 minutes. The results of study were as follows: 1) VAS score was significantly decreased on the more painful side after treatment, however, it was not significantly different on the less painful side. 2) PT was increased after treatment on both sides, however, it was not significantly different between before and after the TENS application. 3) The EMG activity during typing was significantly decreased after treatment, and 4) The EMG gaps were significantly increased after TENS treatment compared to before it. Consequently, the study showed that TENS was effective in decreasing VAS, $%RMS_{RVC}$, and in increasing EMG gaps. The EMG gap analysis could be a useful method to measure pain in patients with MPS in the upper trapezius.

• Journal of Genetic Medicine
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• 제12권2호
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• pp.79-84
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• 2015

Purpose: We developed and validated a fetal trisomy detection method for use as a noninvasive prenatal test (NIPT) including a Clinical Laboratory Improvement Amendments (CLIA)-certified bioinformatics pipeline on a cloud-based computing system using both Illumina and Life Technology sequencing platforms for 221 Korean clinical samples. We determined the necessary proportions of the fetal fraction in the cell-free DNA (cfDNA) sample for NIPT of trisomies 13, 18, and 21 through a limit of quantification (LOQ) test. Materials and Methods: Next-generation sequencing libraries from 221 clinical samples and three positive controls were generated using Illumina and Life Technology chemistries. Sequencing results were uploaded to a cloud and mapped on the human reference genome (GRCh37/hg19) using bioinformatics tools. Based on Z-scores calculated by normalization of the mapped read counts, final aneuploidy reports were automatically generated for fetal aneuploidy determination. Results: We identified in total 29 aneuploid samples, and additional analytical methods performed to confirm the results showed that one of these was a false-positive. The LOQ test showed that the proportion of fetal fraction in the cfDNA sample would affect the interpretation of the aneuploidy results. Conclusion: Noninvasive chromosome examination (NICE), a CLIA-certified NIPT with a cloud-based bioinformatics platform, showed unambiguous success in fetus aneuploidy detection.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권6호
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• pp.2480-2496
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• 2020

Considering that high-dose X-ray radiation during CT scans may bring potential risks to patients, in the medical imaging industry there has been increasing emphasis on low-dose CT. Due to complex statistical characteristics of noise found in low-dose CT images, many traditional methods are difficult to preserve structural details effectively while suppressing noise and artifacts. Inspired by the deep learning techniques, we propose a densely connected residual network (DCRN) for low-dose CT image noise cancelation, which combines the ideas of dense connection with residual learning. On one hand, dense connection maximizes information flow between layers in the network, which is beneficial to maintain structural details when denoising images. On the other hand, residual learning paired with batch normalization would allow for decreased training speed and better noise reduction performance in images. The experiments are performed on the 100 CT images selected from a public medical dataset-TCIA(The Cancer Imaging Archive). Compared with the other three competitive denoising algorithms, both subjective visual effect and objective evaluation indexes which include PSNR, RMSE, MAE and SSIM show that the proposed network can improve LDCT images quality more effectively while maintaining a low computational cost. In the objective evaluation indexes, the highest PSNR 33.67, RMSE 5.659, MAE 1.965 and SSIM 0.9434 are achieved by the proposed method. Especially for RMSE, compare with the best performing algorithm in the comparison algorithms, the proposed network increases it by 7 percentage points.

• 한국지반환경공학회 논문집
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• 제14권2호
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• pp.51-55
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• 2013

연약지반을 개량하기 위한 심층혼합처리공법과 같은 다양한 공법은 지반보강을 위하여 그라우트를 광범위하게 사용하고 있다. 반복하중 및 동하중을 받는 지반-구조물계의 설계에 사용되는 중요한 동적변수는 사질토 및 화강풍화토, 암시편에 관하여 많이 연구 발표되었다. 하지만 그라우트로 보강된 지반에 대한 내진설계 연구는 미비한 실정이다. 이에 본 연구에서는 공진주시험기를 이용하여 점성토와 보통 포틀랜드 시멘트의 함수비와 그라우트 주입률의 변화에 따른 전단변형률과 전단탄성계수의 상관관계를 Ramberg-Osgood Model로 정규화하여 비교 분석하였다. 그 결과 동적계수는 함수비와 그라우트 주입율에 의해 영향을 받는 것으로 나타났다.

• Advances in materials Research
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• 제6권2호
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• pp.169-184
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• 2017

Electro-Discharge machining (EDM) is a thermal process comprising a complex metal removal mechanism. This method works by forming of a plasma channel between the tool and the workpiece electrodes leading to the melting and evaporation of the material to be removed. EDM is considered especially suitable for machining complex contours with high accuracy, as well as for materials that are not amenable to conventional removal methods. However, several phenomena can arise and adversely affect the surface integrity of EDMed workpieces. These have to be taken into account and studied in order to optimize the process. Recently, artificial neural networks (ANN) have emerged as a novel modeling technique that can provide reliable results and readily, be integrated into several technological areas. In this paper, we use an ANN, namely, the multi-layer perceptron and the back propagation network (BPNN) to predict the mean surface roughness of electro-discharge machined surfaces. The comparison of the derived results with experimental findings demonstrates the promising potential of using back propagation neural networks (BPNNs) for getting a reliable and robust approximation of the Surface Roughness of Electro-discharge Machined Components.

• 한국전자거래학회지
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• 제12권3호
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• pp.33-47
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• 2007

소프트웨어 개발 초기에 모든 요구사항을 정의하는 것은 불가능하기 때문에 요구사항은 소프트웨어 개발이 진행되는 동안에 지속적으로 변경된다. 이러한 요구사항 변경은 개발자가 소프트웨어 구조나 행위를 완벽하게 이해하지 못하거나 변경에 따라 영향을 받는 모든 부분을 식별할 수 없을 경우 많은 오류를 야기 시킨다. 그러므로, 조직의 비즈니스에 공헌하면서 비용 효과적으로 적절히 처리되기 위하여 요구사항은 관리되고 평가되어야한다. 본 논문은 가치분석을 통하여 생성된 휘처 기반의 요구사항추적 링크를 근간으로 하는 요구사항변경 관리 기법을 제안한다. 이는 사용자 요구사항과 산출물간의 연결을 분석하기 위하여 휘처를 중간 매개체로 활용한 추적 링크를 이용한다. 그리고, 요구사항 변경 요청을 휘처 단위로 상세화하기 위한 변경 트리 모델을 정의하고 변경 관리가 수행되는 전체적인 프로세스를 제시한다. 또한, 요구사항 변경 관리 기법을 자산관리포탈시스템에 적용한 사례의 결과를 기술한다.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1997년도 추계학술대회
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• pp.489-492
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• 1997

The general pattern of adaptation in the appendicular skeleton with aging is that the subperiosteal apposition of bone occur along with endosteal absorption. This remodeling of diaphysis to a cylinder of larger diameter is hypothesized to serve a mechanical compensatory unction by increasing the moment of inertia as the cortex thins with aging. These findings is only true of the diaphysis of long bone. Measuring the area and inertia at each section of femur, the age-related change of proximal emur and diaphysis is observed. After screening by physical and radiological examination, 200 normal Korean adults divided 5 groups in both male and female based on age. Twenty persons were in each group. One femur in each person was analyzed using CT images. femur scanned with 60 to 80 slices and this images were digitized. Then 2-D images were reconstructed into 3-D images. Using the nonlinear method, normalization and interpolation technique, 7 locations of interest (trochanteric area: 1, 2 subtrochanteric area: 3, 4, isthmic area: 5, 6, 7) were determined. On the each cross section at each location, the area (total, cortical and medullary) and 5 inertia of moment were measured. The results were analyzed statistically. With aging, significant area change occurred mainly in diaphysis and female. In trochanteric area, no significant change was noted. With aging, total and medullary area were increased, but cortical area was not changed. In diaphysis, lateral bendingresistanceincreasedsignificantly. No inertia change was noted in trochanteric area. Anteroposterior bending resistance was constant with aging. In more than age 60, total area and medullary area were larger than that of others. Lateral bending resistance was higher especially in diaphysis. In diaphysis, with aging, the decreased properties is compensated with the increased lateral bending resistance by geometric remodeling. In trochanteric area, no compensation occur. With aging, especially in more than age 60, the higher rate of trochanteric fracture is expected.

• Journal of Biosystems Engineering
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• 제42권4호
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• pp.293-300
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• 2017

Purpose: This study aims to propose a method for fast geographical origin discrimination between domestic and imported rice using a visible/near-infrared (VNIR) hyperspectral imaging technique. Methods: Hyperspectral reflectance images of South Korean and Chinese rice samples were obtained in the range of 400 nm to 1000 nm. Partial least square discriminant analysis (PLS-DA) models were developed and applied to the acquired images to determine the geographical origin of the rice samples. Results: The optimal pixel dimensions and spectral pretreatment conditions for the hyperspectral images were identified to improve the discrimination accuracy. The results revealed that the highest accuracy was achieved when the hyperspectral image's pixel dimension was $3.0mm{\times}3.0mm$. Furthermore, the geographical origin discrimination models achieved a discrimination accuracy of over 99.99% upon application of a first-order derivative, second-order derivative, maximum normalization, or baseline pretreatment. Conclusions: The results demonstrated that the VNIR hyperspectral imaging technique can be used to discriminate geographical origins of rice.

• 한국통신학회논문지
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• 제23권6호
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• pp.1443-1453
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• 1998

본 논문은 컴퓨터에 입력된 문자정보를 음성정보로 변환하기 위한 음성합성엔진에 관한 것이며, 특히 명료성의 향상을 위해 파형처리 음성합성방식을 이용한다. 음성합성엔진은 컴맨드 스트림의 제어에 따라 자연성의 향상을 위한 피치조절, 길이 및 에너지 등을 제어하며 음성합성단위로서 반음절을 사용한다. 엔진에서 사용 가능한 컴맨드를 프로그램하여 음성합성엔진에 입력함으로서 음성을 합성하는 빙식은 구문분석, 어휘분석 등의 하이레벨과 파형의 편집 가공 등의 로우레벨을 완전 분리하므로 시스템의 융통성과 확장성을 높인다. 또한 TTS시스템의 적용에 있어 각 모듈을 객체/컴포넌트(Object/Component)로 각 모듈이 상호 독립적으로 작동되도록 하여 쉽게 대체가 가능하다. 하이 레벨과 로우 레벨을 분리하는 소프트웨어 아키택처는 음성합성 연구에 있어 각각 여러 분야별로 독립적으로 연구수행이 가능하여 연구의 효율성을 높이며 여러 소프트웨어의 조합사용(Mix-and-Match)이 가능하여 확장성과 이식성을 향상시킨다.

• 한국환경교육학회지:환경교육
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• 제18권3호
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• pp.75-90
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• 2005

The purpose of this study was to analyze middle school students' consumption lifestyle and develop a program for measuring Ecological Footprint (EF) for them. For this study, 200 male and female middle school students in large cities, medium & small cities were selected to analyze their consumption lifestyle. It was also that the existing programs for measuring EF were studied and basic rules of setting up new EF indicators were established based on the results of survey and literature study. 15 indexes was selected by dividing the life areas into food, housing, traffic, goods and services areas and than the delpi computer programming tools was used to develop program for measuring EF in this study. The program for measuring EF can be used as educational materials for consumers' environment education in the areas of social environment education and school environment education. The followings are suggestions coming out of this study. First, it is required to revise and complement program for measuring EF analyzing the problems that occur when applying it to middle school students actually. Second, some data that used during normalization of EF ate originally from the USA. So it is necessary to change the data to meet the Korean situation. Third, it is necessary to have design work that can invite interests of students with consumers' environmental education materials through cooperation between environmental education experts and computer programmers. Fourth, it is necessary to have practical research with consumers' environmental education adding educational contents into EF measurement program. Fifth, it is necessary to develop a method for distribution an expansion of the program for measuring EF to make it usable in different types of environmental education materials.