• 대한방사선기술학회지:방사선기술과학
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• 제42권1호
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• pp.25-30
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• 2019

Whole Spine Scanography (WSS) using the Digital Radiography (DR) system is an examination that requires whole body X-ray exposure, which involves more exposure to radiation for patients than other general radiographies. This can affect the occurrence of breast cancer. This research measured radiation dose when breasts were shield and not shield using the Auto Exposure Control (AEC) mode. The radiation dose without a shield was 1.540 mGy, and that using a collimator was measured 0.506 mGy. Moreover, 0.733 mGy was measured when 1 shield (0.3 mm) was used, and $0.523{\mu}Gy$ when 5 of them (1.5 mm) were used. The results showed that the radiation dose with 5 shields and the radiation dose with a collimator were similar. Moreover, 0.233 mGy was measured when 8 shields (2.4 mm) were used. The standard deviation were 0.081 when using collimator and 0.014 when 5 shields were used. Also, when 8 shields were used, it was found to be 0.002. Most patients who go under a scoliosis test are children or young people who are highly sensitive to radiation. In the research results, the case where the organs sensitive to radiation, women's breasts, were shielded showed more distinct differences compared to without shields. It is considered that using shields can provide more constant shield than using a collimator and lower the risk of breast cancer caused by exposure to radiation.

• International Journal of Control, Automation, and Systems
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• 제6권5호
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• pp.639-650
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• 2008

Electricity price forecasting has become an integral part of power system operation and control. In this paper, a wavelet transform (WT) based neural network (NN) model to forecast price profile in a deregulated electricity market has been presented. The historical price data has been decomposed into wavelet domain constitutive sub series using WT and then combined with the other time domain variables to form the set of input variables for the proposed forecasting model. The behavior of the wavelet domain constitutive series has been studied based on statistical analysis. It has been observed that forecasting accuracy can be improved by the use of WT in a forecasting model. Multi-scale analysis from one to seven levels of decomposition has been performed and the empirical evidence suggests that accuracy improvement is highest at third level of decomposition. Forecasting performance of the proposed model has been compared with (i) a heuristic technique, (ii) a simulation model used by Ontario's Independent Electricity System Operator (IESO), (iii) a Multiple Linear Regression (MLR) model, (iv) NN model, (v) Auto Regressive Integrated Moving Average (ARIMA) model, (vi) Dynamic Regression (DR) model, and (vii) Transfer Function (TF) model. Forecasting results show that the performance of the proposed WT based NN model is satisfactory and it can be used by the participants to respond properly as it predicts price before closing of window for submission of initial bids.

• Journal of Welding and Joining
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• 제35권1호
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• pp.74-78
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• 2017

In auto ancillary fabrication industry, GMAW is a very useful & important welding process and EN10025 S 235 Grade is common material used for manufacturing of two wheeler chassis. This research gives the detail influence of welding process parameters such as welding current, welding voltage, wire speed on the penetration in EN10025 S 235 Grade mild steel material. The experimentation of this research has been carried out by using three factors, three level Taguchi DOE method. To analyze & optimize the welding parameters & characteristics, analysis of variance, L9 orthogonal array & signal to noise ratio are used. Length of Penetration in addition to the depth of penetration is major concern in fillet welded joints, as the penetration decides the strength of the welded joint. After analysis of penetration in all 9 welded samples, optimize parameters readings verified & found probability value within 0.05.From this research it is come to know that welding current & welding voltage is major parameters which affects the penetration in welded joints.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2015년도 추계학술대회
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• pp.86-89
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• 2015

자동노출제어장치 (AEC : Auto Exposure Control)를 사용하는 경우와 사용하지 않았을 경우, 관전압과 관전류 설정에 따른 영상의 정량적인 평가를 통하여 최적의 영상을 찾고자 한다. 이를 통해 AEC 사용유무 및 촬영조건의 조절과 영상간의 관계를 파악하여, DR의 올바른 사용방법을 제안하고자 한다. 흉부팬텀으로 조건변화에 따른 Chest PA 영상을 획득한 뒤 영상평가인자인 신호 대 잡음비 (SNR), 대조도 대 잡음비 (CNR), 최대신호 대 잡음비 (PSNR), 평균 제곱근 (RMS)을 이용하여 영상평가를 실시한다. 관전압이 감소, 관전류가 증가함에 따라 SNR, CNR, PSNR은 증가하는 경향을 보였으며, RMS는 감소하는 경향을 나타내었다. 또한 고관전압, 저관전류 영역에서는 AEC를 사용하지 않았을 경우가 AEC를 사용하는 경우에 비해 SNR, PSNR이 높게 나타났으며, RMS는 낮게 나타났다. 그리고 저관전압, 고관전류영역에서는 AEC가 SNR, PSNR이 높게 나타났으며, RMS는 낮게 나타났다. 촬영조건의 변화와 AEC의 사용유무에 따라 영상의 질에서 차이를 확인할 수 있었다. 전체적인 상황과 방사선 종사자의 효율적인 업무를 위해 AEC 사용이 더 적합함을 알 수 있었다. 그러나 종사자의 무조건적인 AEC의 사용보다는 환자의 상태 및 촬영 자세 등 여러 조건을 고려한 능동적인 AEC 사용자세로 최적의 영상의 질을 얻도록 권장한다.

• 셀메드
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• 제11권1호
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• pp.1.1-1.4
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• 2021

Background: Amavata is a disease that occurs as a result of the error of metabolism. Poor dietary habits and faulty Dincharya (daily regimen) and ritucharya (seasonal regimen) leading to deranged metabolism and Agni (metabolic fire) which results in the formation of Ama(undigested product of metabolism). When Amaconceals with Vata(subtle energy associated with movement) and circulates in the body under the influence of Vyana Vayu (omnipresent air)it clogs the srotasas (microchannels) and initiates the inflammatory cascade. Amavata is commonly correlated with rheumatoid arthritis (RA) while other forms of auto-immune disorders can also be included in Amavata.Dysbiosis of the gut microbiota (GM) has been connected to the onset of diverse autoimmune diseases. In this study, it was hypothesized that Panchakarma (bio-purificatory methods) based intervention such as Virechana Karma (therapeutic purgation) may influence microbiota. Materials and Methods: Various Ayurvedic literature were reviewed for the etiopathogenesis of Amavata. Different databases were searched with research papers related to Gut Dysbiosis and autoimmunity and management of RA. A connecting link between Intestinal Dysbiosis with the autoimmune mechanisms was established and it was also found that the bowel cleansing introduced a change to the GM. Conclusion: It was concluded that Virechana karma is effective in gut flora Dysbiosis. This study aims to correlate the ancient Ayurvedic principles related to Agni Bala(metabolic energy) and biopurificatory treatment modalities like Virechana karma (therapeutic purgation)with the modern concept of gut microbiota and its role in the pathogenesis of various autoimmune disorders such as rheumatoid arthritis. The article creates an understanding about principles of Ayurveda and its rationality in today's scientific world and thereby opens newer vistas of research in therapeutics from Ayurveda, which may be helpful in the management of various immune-mediated Diseases through Ayurveda.

• Natural Product Sciences
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• 제27권2호
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• pp.99-114
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• 2021

Type 2 diabetes mellitus (T2DM) and its complications are important noncommunicable diseases with high mortality rates. Protein tyrosine phosphatase 1B (PTP1B) and aldose reductase inhibitors are recently approached and advanced for T2DM and its complications therapy. Matricaria chamomilla L. is acknowledged as a worldwide medicinal herb that has many beneficial health effects as well as antidiabetic effects. Our research was designed to determine the most potential antidiabetic phytochemicals from M. chamomilla employing in silico study. 142 phytochemicals were obtained from the databases. The first screening employed iGEMdock and Swiss ADME, involving 93 phytochemicals. Finally, 30 best phytochemicals were docked. Molecular docking and visualization analysis were performed using Avogadro, AutoDock 4.2., and Biovia Discovery Studio 2016. Molecular docking results demonstrate that ligand-protein interaction's binding affinities were -5.16 to -7.54 kcal/mol and -5.30 to -12.10 kcal/mol for PTP1B and aldose reductase protein targets respectively. In silico results demonstrate that M. chamomilla has potential antidiabetic phytochemical compounds for T2DM and its complications. We recommended anthecotulide, quercetin, chlorogenic acid, luteolin, and catechin as antidiabetic agents due to their binding affinities against both PTP1B and aldose reductase protein. Those phytochemicals' significant efficacy and potential as antidiabetic must be investigated in further advanced research.

• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1510-1510
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• 2001

NIRS uses reflectance signals resulting from bending and stretching vibrations in chemical bonds between carbon, nitrogen, hydrogen, sulfur and oxygen. These reflectance signals are used to measure the concentration of major chemical composition and other descriptors of homogenized and freeze-dried whole broiler carcasses. Six strains of chicken were analyzed and the NIRS model predictions compared to reference data. The results of this comparison indicate that NIRS is a rapid tool for predicting dry matter (DM), fat, crude protein (CP) and ash content in the broiler carcass. Males and females of six commercial strain crosses of broiler chicken (Gallus domesticus) were used in this study (6$\times$2 factorial design). Each strain was grown to 16 weeks of age, and duplicate serial samples were taken for body composition analysis. Each whole carcass was pressure-cooked, homogenized, and a representative sample was freeze-dried. Body composition determined as follows: DM by oven dried method at 105$^{\circ}C$ for 3 hours, fat by Mojonnier diethyl ether extraction, CP by measuring nitrogen content using an auto-analyzer with Kjeldhal digest and ash by combustion in a muffle furnace for 24 hour at 55$0^{\circ}C$. These homogenized and freeze-dried carcass samples were then scanned with a Foss NIR Systems 6500 visible-NIR spectrophotometer (400-2500nm) (Foss NIR Systems, Silver Spring, MD., US) using Infra-Soft-International, ISI, WinISl software (ISI, Port Matilda, US). The NIRS spectra were analyzed using principal component (PC) analysis. This data was corrected for scatter using standard normal “Variate” and “Detrend” technique. The accuracy of the NIRS calibration equations developed using Partial Least Squares (PLS) for predicting major chemical composition and carcass descriptors- such as body mass (BM), bird dry matter and moisture content was tested using cross validation. Discrimination analysis was also used for sex and strain identification. According to Dr John Shenk, the creator of the ISI software, the calibration equations with the correlation coefficient, $R^2$, between reference data and NIRS predicted results of above 0.90 is excellent and between 0.70 to 0.89 is a good quantifying guideline. The excellent calibration equations for DM ($R^2$= 0.99), fat (0.98) and CP (0.92) and a good quantifying guideline equation for ash (0.80) were developed in this study. The results of cross validation statistics for carcass descriptors, body composition using reference methods, inter-correlation between carcass descriptors and NIRS calibration, and the results of discrimination analysis for sex and strain identification will also be presented in the poster. The NIRS predicted daily gain and calculated daily gain from this experiment, and true daily gain (using data from another experiment with closely related broiler chicken from each of the six strains) will also be discussed in the paper.

• 한국의학물리학회:학술대회논문집
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• 한국의학물리학회 2004년도 제29회 추계학술대회 발표논문집
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• pp.53-55
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• 2004

본 연구에서는 병원에서 멀리 떨어진 교통사고, 낙상에 의한 두개골이나 경추, 척추등의 골절을 동반한 심각한 외상이 있거나 기흉등의 육안으로 진단하기 힘든 응급환자에 있어서는, 구급차를 이용하여 후송중이라 하더라도 방사선검사를 하여 전문의로부터 적절한 진단을 받고 응급조치를 할 필요가 있다. 본 연구의 목적은 응급상황에 사용할 수 있도록 CDMA 1X EVDO 방식의 통신망을 기반으로 하는 이동형 의료영상 전송장치의 프로토타입을 구현하고 성능을 평가하는 것이다. 설계된 시스템은 영상을 전송하기 위한 DICOM 영상전송 클라이언트로 노트북 컴퓨터에 CDMA 1X EVDO 방식을 지원하는 셀룰러폰을 연결하였으며, 병원에는 영상을 받기 위한 DICOM 영상수신 서버를 설치하였다. DR영상을 영상전송 클라이언트의 저장소에 저장한 후, JPEG2000형식으로 압축하여 수신서버로 전송하였다. 모든 영상은 progressive하게 전송되어지고 디스플레이에 표시되었다. 영상의 질을 평가하기 위하여 PSNR을 계산하였으며, 전송품질을 측정하기 위하여 차량의 속도에 따른 CDMA2000 1X-EVDO의 전송률 및 영상의 전송속도를 측정하였다.

• 만화애니메이션 연구
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• 통권45호
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• pp.397-415
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• 2016

이 소논문은 시각적 민족지학의 기반의 실습/실행 기반 연구(Practice-led Research)로써 가상공간 속 게임 캐릭터 혹은 아바타, 그리고 대규모 다중 사용자 온라인 롤플레잉 게임(MMORPGs)과 관련하여 한국 청소년들은 어떻게 자신들의 정체성과 게임 문화를 애니메이션 미디어를 통해 형성하는지 알아보는데 그 목적이 있다. 이 실습/실행기반 연구는 영국 빅토리아 시대의 로버트 루이스 스티븐슨의 소설 '지킬 앤 하이드'의 주제, 이중적 자아 정체성 혹은 정체성 혼란이라는 개념을 바탕으로 한국의 청소년들의 온라인 아바타 생성과 게임문화를 탐구한다. 이를 위한 문헌조사와 관련하여, 본인은 조심스럽게 한국의 빠른 근대화는 영국 빅토리아 시대와 평행을 이룬다고 주장한다. 예를들어, 경제적 압박과 변동 (예: 한국의 1997 IMF 사건), 그리고 그에 따른 심리적 불안과 우울증과 연관된다. 이러한 면에서, 본인의 애니메이션 실습 (애니메이션 다큐멘터리, '지킬의 레터' 2014 - 사례연구 소개)은 소설,'지킬 앤 하이드'와 실제 한국인 소년의 살인사건 사이의 연관 관계를 조사한다. 이와 관련해서 본인은 이러한 비극적 사건의 근본적인 문제들을 밝혀내기 위해 한국의 청소년들이 어떻게 온라인 게임을 그들의 일상의 삶에서 활용하는지 또한 그들의 정체성 형성에 어떠한 영향을 끼치는지를 알기위해 이와 같은 '실습/실행 기반 연구'를 구성하였다. 이는 1차적 자료를 얻기 위해 효과적이며, 이를 위해 온라인과 오프라인 조사방법을 병행한 민속지학적 접근방식을 차용하였다. 이러한 실습/실행 연구의 목적은 온라인 게임 속 유저들과 그들의 실제 삶을 비교함으로써 한국 청소년들의 문화와 정체성의 의미를 이해하며, 한국적인 특정 사례로 볼 수 있는지 알아보는 데 있다. 따라서 이 소논문에서는 한국적 특정 사례와 관련한 연구 결과에 대해 설명하기보다는 이와 같은 의문점을 답하기 위한 연구과정, 전략 그리고 애니메이션 실습 활용 방법에 대해 그 초점을 맞추려고 한다. 이를 위해 온라인과 오프라인 연구방법과 관련하여 어떻게 애니메이션 실습을 활용하는지를 4가지 성격의 애니메이션 리얼리티 혹은 다큐멘터리를 소개한다. 결국 서로 다른 성격의 애니메이션 다큐멘터리 실습방법에 의해 어떻게 한국 청소년들의 이중적 정제성과 나아가 한국적 특정사례를 효과적으로 전달하고 시각화 할 수 있는지 알아본다.