• Smart Structures and Systems
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• v.32 no.3
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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.

• Journal of Korean Medicine Rehabilitation
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• v.21 no.2
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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.

• Journal of Fisheries and Marine Sciences Education
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• v.27 no.4
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• pp.1109-1117
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• 2015

Recently, import supply of glass eels from Philippines has been increased in South Korea, and the species distinction was very important to import traders and Anguilla marmorata and A. bicolor pacifica are major species at Philippines. In this study, the species distinction and the rate were researched targeting imported glass eels from the estuaries of North Luzon and the South Mindanao in May and July, 2014. Dorsal fin position and pigmentation pattern at caudal fin are the trait standard for species distinction. The results about morphological identification were coincide with the result of the genetic identification, and the regional distribution of A. marmorata rate was over 90% at North Ruzon in May. However, the rates of A. bicolor pacifica and A. mamorata were 63.3% and 36.7% in May, and were 53.3% and 46.7% in July respectively at South Mindanao.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.71-80
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• 2022

In the past, fish diseases were bacterial in aqua farms, but in recent years, the frequency of fish diseases has increased as they have become viral and mixed. Viral diseases in an enclosed space called a aqua farm have a high spread rate, so it is very likely to lead to mass death. Fast identification of fish diseases is important to prevent group death. However, diagnosis of fish diseases requires a high level of expertise and it is difficult to visually check the condition of fish every time. In order to prevent the spread of the disease, an automatic identification system of diseases or fish is needed. In this paper, in order to improve the performance of the disease identification system of Paralichthys olivaceus based on deep learning, the existing pre-processing method is compared and tested. Target diseases were selected from three most frequent diseases such as Scutica, Vibrio, and Lymphocystis in Paralichthys olivaceus. The RGB, HLS, HSV, LAB, LUV, XYZ, and YCRCV were used as image pre-processing methods. As a result of the experiment, HLS was able to get the best results than using general RGB. It is expected that the fish disease identification system can be advanced by improving the recognition rate of diseases in a simple way.

• Journal of Korean Society for Atmospheric Environment
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• v.18 no.E1
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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.

• Journal of Physiology & Pathology in Korean Medicine
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• v.23 no.5
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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.

• The Journal of the Acoustical Society of Korea
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• v.22 no.6
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• pp.457-462
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• 2003

In this paper, we propose a speaker pruning method for real-time processing and improving performance of speaker identification system based on GMM(Gaussian Mixture Model). Conventional speaker identification methods, such as ML (Maximum Likelihood), WMR(weighting Model Rank), and MWMR(Modified WMR) we that frame likelihoods are calculated using the whole frames of each input speech and all of the speaker models and then a speaker having the biggest accumulated likelihood is selected. However, in these methods, calculation cost and processing time become larger as the increase of the number of input frames and speakers. To solve this problem in the proposed method, only a part of speaker models that have higher likelihood are selected using only a part of input frames, and identified speaker is decided from evaluating the selected speaker models. In this method, fm can be applied for improving the identification performance in speaker identification even the number of speakers is changed. In several experiments, the proposed method showed a reduction of 65% on calculation cost and an increase of 2% on identification rate than conventional methods. These results means that the proposed method can be applied effectively for a real-time processing and for improvement of performance in speaker identification.

• Journal of Korean Medicine for Obesity Research
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• v.16 no.1
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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.

• Journal of Physiology & Pathology in Korean Medicine
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• v.31 no.2
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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.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.1
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• pp.160-164
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• 2005

The process of recognizing a vehicle involves detection of the vehicle, recognition of the vehicle model, and identification of the vehicle. The process of vehicle identification involves identification of the vehicle itself, such as by recognition of the license plate on the vehicle. In this paper the method involves the use of a beam splitter to divide incident rays into two directions, a transmitted beam and a reflected beam of different light intensities, and synthesizing two captured images using CCD devices from each beam, thus producing fluctuation-free images of a wide dynamic range even when the subject is moving. A prototype license plate recognition system was also developed using the experimental sensing device. The system achieved a 98.7% recognition rate on 466 images of moving vehicles, which demonstrates its effectiveness as a license plate recognition system.