• Smart Structures and Systems
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• 제32권3호
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• pp.153-166
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• 2023

Health monitoring of civil infrastructures, in particular, old bridges that are still in service, has become more than necessary, given the risk that a possible degradation or failure of these infrastructures can induce on the safety of users in addition to the resulting commercial and economic impact. Bridge integrity assessment has attracted significant research efforts over the past forty years with the aim of developing new damage identification methods applicable to real structures. The bridge of Ouled Mimoun (Tlemcen, Algeria) is one of the oldest railway structure in the country. It was built in 1889. This bridge, which is too low with respect to the level of the road, has suffered multiple shocks from various machines that caused considerable damage to its central part. The present work aims to analyze the stability of this bridge by identifying damages and evaluating the damage rate in different parts of the structure on the basis of a finite element model. The applied method is based on an inverse analysis of the normal stress responses that were calculated from the corresponding recorded strains, during the passage of a real train, by means of a set of strain gauges placed on certain elements of the bridge. The results obtained from the inverse analysis made it possible to successfully locate areas that were really damaged and to estimate the damage rate. These results were also used to detect an excessive rigidity in certain elements due to the presence of plates, which were neglected in the numerical reference model. In the case of the continuous bridge monitoring, this developed method will be a very powerful tool as a smart health monitoring system, allowing engineers to take in time decisions in the event of bridge damage.

• 한방재활의학과학회지
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• 제21권2호
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• pp.265-278
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• 2011

Objectives : This trial were conducted to evaluate the efficacy and adverse events of Bofutsusho-san(BTS) and Boiogiot-tang(BOT) by oriental obesity pattern identification on obese subjects, as compared to placebo. Methods : 166 subjects(body mass index ${\geq}25kg/m^2$) were recruited and randomized to receive BT(n=55), FH(n=55) or placebo(n=56) for 8 weeks. Anthropometric factors, serum lipid, glucose, blood pressure(BP), pulse rate, resting metabolic rate and oriental obesity pattern identification questionnaire were measured at baseline and 8 weeks. Adverse events and safety outcome variables were also checked during trials. Results : The frequency of top-scored oriental obesity pattern was ordered by indigestion(食積) > stagnation of the liver qi(肝鬱) > yang deficiency(陽虛) > spleen deficiency(脾虛) > phlegm(痰飮) > blood stasis(瘀血) in subjects. BTS group significantly decreased body weight, body mass index(BMI), waist circumference(WC), body fat mass, total cholesterol and HDL-cholesterol in stagnation of the liver qi(肝鬱) and WC in indigestion(食積). BOT group showed significant decrease of body weight, BMI, WC, and body fat mass in indigestion(食積) not in deficiency(虛症). Adverse events were reported most frequently in yang deficiency(陽虛) by BT group and stagnation of the liver qi(肝鬱) by BOT group. Conclusions : Bofu-tsusho-san was effective in treating obesity with stagnation of the liver qi(肝鬱). Obesity pattern identification could be a useful diagnostic tool predicting treatment effects and adverse events.

• 수산해양교육연구
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• 제27권4호
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• pp.1109-1117
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• 2015

최근 우리나라에서는 필리핀 현지에서 채집되는 Anguilla marmorata와 A. bicolor pacifica의 실뱀장어 수입량이 증가하는 추세이다. 본 연구에서는 2014년 5월과 7월에 필리핀의 루손섬 북쪽과 민다나오섬 남쪽의 기수지역에서 채집된 실뱀장어를 대상으로 현지에서 적용 가능한 등지느러미의 위치와 꼬리지느러미의 색소세포 침착형태 등의 외부 형태적 특징을 바탕으로 한 판별기법을 유전자분석과 함께 실시하여 그 유효성을 검토하였다. 5월 루손섬 북쪽의 시료는 A. marmorata가 90% 이상이었으며, 민다나오섬 남쪽의 시료는 A. mamorata와 A. bicolor pacifica가 각각 36.7%, 63.3%였다. 7월의 민다나오섬 남쪽의 시료는 A. mamorata와 A. biolor pacifica가 각각 46.7%, 53.3%로, 두 종간의 외부 형태학적 특징을 바탕으로 하는 종 분류기법은 유전자분석 결과와 일치하여 유효한 것으로 사료된다.

• 한국콘텐츠학회논문지
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• 제22권3호
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• pp.71-80
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• 2022

과거 양식장에서 어류 질병은 세균성이었던 반면 최근은 바이러스성 및 혼합된 형태가 되면서 어류 질병의 빈도가 높아졌다. 양식장이라는 밀폐된 공간에서 바이러성 질병은 확산속도가 높으므로 집단 폐사로 이어질 확률이 매우 높다. 집단 폐사를 방지하기 위해서는 어류 질병의 빠른 식별이 중요하다. 그러나 어류의 질병 진단은 고도의 전문지식이 필요하고 매번 어류의 상태를 눈으로 확인하기 어렵다. 질병의 확산을 막기 위해서는 병이든 어류의 자동식별 시스템이 필요하다. 본 논문에서는 딥러닝 기반의 넙치의 질병 식별 시스템의 성능을 높이기 위해서 기존 전처리 방법을 비교 실험한다. 대상 질병은 넙치에서 가장 빈번히 발생하는 3가지 질병 스쿠티카병, 비브리오증, 림포시스티스를 선정하였고 이미지 전처리 방법으로 RGB, HLS, HSV, LAB, LUV, XYZ, YCRCV를 사용하였다. 실험결과 일반적인 RGB를 사용하는 것보다 HLS가 가장 좋은 결과를 얻을 수 있었다. 간단한 방법으로 질병의 인식률을 향상해 어류 질병 식별 시스템을 고도화 할 수 있을 것으로 예상한다.

• Journal of Korean Society for Atmospheric Environment
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• 제18권E1호
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• pp.13-20
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• 2002

The electrical and chemical properties of the dielectric barrier discharge (DBD) process for the benzene removal were investigated. The benzene removal was initiated with the applied voltage higher than the discharge onset value. The removal efficiency over 95 % was obtained at approximately 1.6 kJ lite $r^{r-1}$ of the electrical energy density. The increase of the inlet concentration decreased the removal efficiency. However, the benzene decomposition rate increased with the inlet concentration . While the increase of the gas retention time enhanced the removal efficiency, the decomposition rate decreased. Identification of the optimum condition between the decomposition rate and the removal efficiency is required for field applications of the DBD process.s.

• 동의생리병리학회지
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• 제23권5호
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• pp.958-963
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• 2009

I Alcoholic hepatitis is a serious liver disease that may lead to cirrhosis and carcinoma, and the short-term mortality rate is fairly high in severe patients. This study was conducted to develop the instrument of pattern identification for alcoholic hepatitis. We made the pattern identification questionnaire and symptoms indicator through reviewing traditional oriental medical literatures and got advices from the advisor committee with Delphi technique. The advisor committee on this study was organized by 10 professors of internal medicine of oriental medical colleges nationwide. The questionnaire was composed of questions about 6 pattern identification - dampness, heat, liver, spleen, cold and dryness. We gave importance to each symptoms of 6 pattern identification which had been scored on a 5-point scale. We surveyed two groups: 36 male alcoholic hepatitis patients whose Alcohol Use Disorder Identification Test(AUDIT) scores were over 12 and who drank alcohol over 40 g per day were allocated to the hepatitis group. Forty three men who did not drink alcohol were allocated to the normal group. Alcoholic hepatitis had relativities to dampness, heat among cause of disease and liver, spleen among viscera. There were statistical significances between the hepatitis group and the normal group in dampness, heat, liver questionnaire. As a result of this study we suggest that the questionnaire would be effective instruments of pattern identification for alcoholic hepatitis.

• 한국음향학회지
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• 제22권6호
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• pp.457-462
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• 2003

본 논문에서는 GMM (Gaussian Mixture Model)에 기반한 문맥독립 화자식별 시스템의 식별성능 향상과 실시간 처리를 위한 계산량 감소를 위하여 화자 프루닝 (Speaker Pruning) 방법을 제안한다. 기존의 화자식별 방법인 최대유사도(Maximum Likelihood) 방법과 가중모델순위 (Weighting Model Rank) 방법, 수정된 가중모델순위 (Modified WMR) 방법 등은 입력 음성 전체와 모든 화자모델들과의 유사도를 프레임 단위로 계산하여 가장 큰 누적 유사도를 가지는 화자를 식별화자로 결정하는 방법으로써, 입력 프레임 및 등록 화자수가 늘어남에 따라 계산량 및 식별시간이 늘어나는 단점이 있었다. 이러한 단점을 해결하기 위하여, 제안방법은 입력음성 프레임의 일부분만을 이용하여 화자모델들과의 프레임 유사도를 계산한 후 계산된 유사도를 이용하여 등록화자의 상위 일부분의 화자만을 선택하고, 선택된 화자들에서만 유사도 계산을 수행함으로서 계산량 및 식별시간을 줄이는 방법이다. 또한, 화자 프루닝을 적용할 경우 화자수가 가변 되더라도 수정된 가중모델 순위방법을 적용할 수 있어 식별성능을 높일 수 있다. 식별실험결과, 제안방법을 적용한 경우 기존의 최대 유사도 방법이나 가중모델순위 방법보다 최대 65%의 계산량 및 식별시간을 감소시킬 수 있었으며, 약 2%의 향상된 식별결과를 나타내어, 본 논문에서 제안한 방법의 유효성을 확인할 수 있었다.

• 한방비만학회지
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• 제16권1호
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• pp.1-10
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• 2016

Objectives: The purpose of this study was to develop Russian version of Korean obese pattern identification questionnaire (KOPIQ) and classify the pattern of Uzbekistan obese patients. Methods: This study was conducted from 10 September 2014 to 10 December 2014 in Korea-Uzbekistan Oriental Hospital. The KOPIQ was translated to Russian language with the help of local expert in Russia and Korean Medicine. The patients who visited obese clinic in hospital were guided to join this study and informed consent was obtained. The inclusion criteria was >$23kg/m^2$ in body mass index. The Cronbach's alpha was used for it's inter consistency reliability and the KOPIQ result was compared with the experts one. Results: The Russian version of KOPIQ was developed. The 103 patient (25 males, 78 females; average age 57.2 years) joined in this study. The Cronbach's alpha of questionnaire was 0.787~0.883 according to individual pattern. The agreement rate of pattern Identification between local expert and KOPIQ was 13%. This developed questionnaire was realized as web version, which could be easily used in Uzbekistan. Conclusions: The Russian version of KOPIQ is developed in this study with suitable reliability. Further study is needed for KOPIQ to be applied in Uzbekistan with high validity.

• 동의생리병리학회지
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• 제31권2호
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• pp.145-152
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• 2017

The purpose of this study was to investigate the clinical research of Cold-Heat of pattern identification(PI) focused on quantitative indicators for general people in Korea, through the review of OASIS, KISS, DBpia, NDSL database. Ten clinical researches were analyzed in this study. These research gradually started from 2004 to 2009 but there was no research after 2010. Diagnosis of Cold-Heat PI all was done through a questionnaire, 7 or most researches had not used the intervention methods. Quantitative indicators related to the Cold-Heat PI mentioned in the selected 10 researches are seven, these indicators include heart rate variability(HRV), electroencephalogram, Yangdorak, respiratory index, electrogastrography, acoustic analysis index, western health test index. Related to the HRV were 3 researches, but correlation of significant indicators was a few levels(R=0.026-0.090). So far, studies regarding at the quantitative indicators of the prior the Cold-Heat PI were few, and the results of the study showed that low statistical precision, a lack of biological basis. Refer to the current state, in the future, we expect that research of quantitative indicators of scientific evidence-based through calculated and precise research concerning Cold-Heat PI be regarded as important in Korean Medicine.

• 한국정보통신학회논문지
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• 제9권1호
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• pp.160-164
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• 2005

자동차 번호판 자동인식에서 어두운 조명에서나 날씨가 좋지 않을 경ㅇ 차량의 형상이 왜곡 될 수 있고, 번호판을 식별하는데 어려움이 있다. 이에 본 논문에서는 움직이는 차량의 영상에서 흔들림이 없고, 밝은 햇빛에서 어두운 조명상태까지의 다양한 환경을 수용할 수 있는 자동차 번호판 인식방법을 제안하였다. 제안한 방법은 투시광선을 서로 다른 세기를 갖는 두 개의 빔(beam)으로 분리한 다음 CCD 카메라를 사용하여 두 개의 포착된 이미지를 조합하여 물체가 움직일 때도 동요 없는 이미지를 산출하였다. 실험결과로써 466 개의 움직이는 차량영상을 이용한 결과 98.7%의 인식률을 얻을 수 있었다.