• Journal of radiological science and technology
• /
• 제28권3호
• /
• pp.241-248
• /
• 2005

X-ray examinations represent the largest man-made source of radiation exposure for the population. The need for standardization of radiation exposures has been suggested and the guidance levels for various radiographic and radioisotope examinations has been proposed by the International Atomic Energy Aency(IAEA) as a safety standard. In many countries, the situation of medical radiographic exposures in each country should be researched before the appropriate guidance level is established. In this study, measurements of entrance surface dose, dose-area product(DAP), computed tomograghic dose index(CTDI) and mean glandular dose(MGD) were carried out in patients who underwent routine x-ray examinations, fluoroscopy, computed tomograghy and mamography in Korea. These measured quantities were compared with the results from the calculation method in previous study. And we suggested diagnostic reference levels in medical imaging in Korea.

• Journal of the Korean GEO-environmental Society
• /
• 제22권11호
• /
• pp.5-13
• /
• 2021

The interest of expecting the liquefaction damage is increasing due to the liquefaction in Pohang in 2017. Liquefaction is defined as a phenomenon that the ground can not support the superstructure due to loss of the strength of the ground. As an alternative against this, many studies are being conducted to increase the precision and to compose a liquefaction hazard map for the purpose of identifying the scale of liquefaction damage using the liquefaction potential index (LPI). In this research, in order to analyze the degree of precision with regard to spatial interpolation objects such as LPI value and geotechnical information for LPI determination, liquefaction hazard map were made for the target area. Furthermore, based on the trend of precision, probability value was analyzed using probability maps prepared through qualitative characteristics. Based on the analysis results, the precision of the liquefaction hazard map setting the spatial interpolation object as geotechnical information is higher than that as LPI value. Furthermore, the precision of the liquefaction hazard map does not affect the distribution of the probability value.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• 제41권5호
• /
• pp.533-541
• /
• 2021

Retaining walls have been used to prevent slope failure through resistance of earth pressure in railway, road, nuclear power plant, dam, and river infrastructure. To calculate dynamic earth pressure and determine the characteristics for seismic behavior, many researchers have analyzed the nonlinear response of ground and structure based on various numerical analyses (FLAC, PLAXIS, ABAQUS etc). In addition, seismic fragility evaluation is performed to ensure safety against earthquakes for structures. In this study, we used the FLAC2D program to understand the seismic response of the inverted T-type wall with a backfill slope, and evaluated seismic fragility based on relative horizontal displacements of the wall. Nonlinear site response analysis was performed for each site (S2 and S4) using the seven ground motions to calculate various seismic loadings reflecting site characteristics. The numerical model was validated based on other numerical models, experiment results, and generalized formula for dynamic active earth pressure. We also determined the damage state and damage index based on the height of retaining wall, and developed the seismic fragility curves. The damage probabilities of the retaining wall for the S4 site were computed to be larger than those for the S2 site.

• Journal of Convergence for Information Technology
• /
• 제11권11호
• /
• pp.204-209
• /
• 2021

This study is a data analysis study to identify the factors influencing the prevalence and risk factors for falls of older adults with dementia in Korea. Using the data of the 7th Aging Research Panel in 2018, 119 people were enrolled. We used response data on the dementia-related factors that is the duration of dementia and whether or not activity of daily living was restricted due to dementia. For comorbid diseases, data on hypertension, diabetes, and obesity were used. For statistical analysis of the collected data, logistic regression analysis was performed using SPSS statistics 22.0. Dementia-related factors and comorbidities of the analyzed subjects had a significant effect on the falling index. In particular, it was found that the influence was greatest in the order of obesity, diabetes, hypertension, daily life restrictions due to dementia, and the duration of dementia. This study is meant to identify factors that should be prioritized in the composition of a fall prevention program for the elderly with dementia. Based on the findings of this study, strategies for preventing falls due to the duration of dementia and limiting daily life, intensive management of high-risk groups for falls due to comorbid diseases, and training in the use of safety aids such as walking aids will be required in the care of the elderly with dementia,

• Journal of radiological science and technology
• /
• 제44권2호
• /
• pp.101-107
• /
• 2021

The purpose of this study was to evaluate optimal CT scan parameters to minimize patient dose to the irradiation and maintain satisfactory image quality in low-dose chest computed tomography (CT) scans. In a chest anthropomorphic phantom, chest CT scans were performed at different kVp and mA within reference of 3.4mGy in volume CT Dose Index (CTDI_vol). The following quantitative parameters had been statistically evaluated: image noise, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and figure of merit (FOM). Nine radiographers conducted the blind test to select the optimal kVp-mA combination. Results indicated that the kVp-mA combination of 80kVp-90mA, 100kVp-50mA, 120kVp-30mA and 140kVp-30mA were obtained high SNR and CNR. The 120kVp-30mA combination offered good compromise in the FOM, which showed the quality and dose performance. In the blind test, an image of 80kVp-90mA obtained a high score with 4.7 points, and 120kVp-10mA or 140kVp-10mA with a low tube current were observed severe noise and poor image quality, thus resulting in decreased diagnostic accuracy. On the other hand, in the combination of high kVp and high mA(140kVp-90mA), the image quality was improved, but the radiation dose was also increased. the FOM value of 140kVp-90mA was lower than 120kVp-30mA. The application of appropriate scan parameters in low-dose chest CT scans produced satisfactory results in dose and image quality for the accuracy of the clinical diagnosis.

• Journal of Physiology & Pathology in Korean Medicine
• /
• 제32권6호
• /
• pp.384-395
• /
• 2018

The aim of this study was to investigate whether a novel formulation of an herbal extracts has an inhibitory effect on obesity. To determine its anti-obesity effects, we performed anti-obesity-related experiments in vitro and in vivo. Thus, our present study was carried out to evaluate the anti-obesity effect of herbal extracts using a high fat diet (HFD)-induced obese mouse model and 3T3-L1 adipose cells. The effects of each herbal extracts on lipid accumulation in 3T3-L1 cells were examined using Oil Red O staining. Results showed that treatment with each herbal extracts at $10{\sim}100{\mu}g/ml$ had no effect on cell morphology and viability. Without evidence of toxicity, herbal extracts treatment decreased lipid accumulation compared with the untreated adipocytes controls as shown by the lower absorbance of Oil Red O stain. Futhermore, compared with control-differentiated mature adipocytes, each herbal extracts significantly inhibited lipid accumulation in mature 3T3-L1 adipocytes. In the HFD-fed obese mice, body weight, liver weight and white adipose tissue weights were significantly reduced by mixture of herbal extracts administration in mouse skin. Futhermore, we found that mixture of herbal extracts administration suppressed serum triglyceride (TG), and total cholesterol (TCHO) in HFD-induced obese mouse model. The mixture of herbal extracts of permeability was estimated by measuring the transepithelial electrical resistance (TEER) value in pig skin. The optimized formulations of herbal extracts (Test 3 formulation) showed skin permeation. However, test 1 formulation containing essential oil as enhancer showed maximum skin permeation. After confirming the enhanced skin permeability, in vivo studies were performed to assess whether skin irritation potential on the basis of a primary irritation index (PII) in rabbit skin. Reactions were scored for erythema/edema reactions at 24 h, 48 h and 72 h post-application. It was concluded that the test 1 formulation was not irritation (PII = 0). The present study suggests that the test 1 formulation might be of therapeutic interest with respect to the treatment of obesity.

• Journal of Korean Society of Disaster and Security
• /
• 제11권2호
• /
• pp.1-8
• /
• 2018

Extreme climate phenomena are occurring around the world caused by global climate change. The heavy rains exceeds the previous record of highest rainfall. In particular, as flash floods generate heavy rainfall on the mountains over a relatively a short period of time, the likelihood of landslides increases. Gangwon region is especially suffered by landslide damages, because the most of the part is mountainous, steep, and having shallow soil. Therefore, in this study, is to predict the risk of disasters by applying topographic classification techniques and landslide risk prediction techniques to mountain watersheds. Classify the hazardous area by calculating the topographic position index (TPI) as a topographic classification technique. The SINMAP method, one of the earth rock predictors, was used to predict possible areas of a landslide. Using the SINMAP method, we predicted the area where the mountainous disaster can occur. As a result, the topographic classification technique classified more than 63% of the total watershed into open slope and upper slope. In the SINMAP analysis, about 58% of the total watershed was analyzed as a hazard area. Due to recent developments, measures to reduce mountain disasters are urgently needed. Stability measures should be established for hazard zone.

• Journal of Korean Society of Neurocognitive Rehabilitation
• /
• 제10권2호
• /
• pp.45-52
• /
• 2018

The purpose of the present study was to determine correlations between the Berg Balance Scale (BBS), Montreal Cognitive Assessment-Korean (MoCA-K) and Modified Barthel Index (MBI) targeting stroke patients, and it seeks to analyze the influence among each factor to establish the fundamental research in evaluating the functional performance capability of stroke patients. The study was conducted between December 2017 and March 2018 and the target of the study was 34 stroke patients who are hospitalized and treated in Y rehabilitation hospital located in Goyang city. Following in criteria of how participants were selected. First, a person without the onset of 6months or more. Second, a person who can communicate and score over 20 points on MMSE-K. Third, a person without unilateral neglect. Fourth, a person without lower motor neuron lesion and orthopedic disease on the bilateral lower extremity. Fifth, a person without audiovisual problem and history of using drug or surgery that influence athletic function. sixth, patients who agreed on participating in the study. The evaluation was processed by measuring BBS, MoCA-K, and MBI with the occupational therapist and physical therapist. Also, one assistant was participated in measuring balanced ability for the safety reason. It was found that significantly correlates (p<.01) with BBS and MoCA-K (r=.459), BBS and MBI (r=.550), MoCA-K and MBI (r=.565). This study is meaningful that it provided the basis for the active use of BBS, MoCA-K and MBI as a clinical evaluation tool and its usefulness.

• The Journal of Bigdata
• /
• 제6권1호
• /
• pp.23-35
• /
• 2021

In the era of the 4th industrial revolution, smart factories have received great attention, where production and manufacturing technology and ICT converge. With the development of IoT technology and big data, automation of production systems has become possible. In the advanced manufacturing industry, production systems are subject to unscheduled performance degradation and downtime, and there is a demand to reduce safety risks by detecting and reparing potential errors as soon as possible. This study designs a model based on supervised and unsupervised learning for detecting anomalies. The accuracy of XGBoost, LightGBM, and CNN models was compared as a supervised learning analysis method. Through the evaluation index based on the confusion matrix, it was confirmed that LightGBM is most predictive (97%). In addition, as an unsupervised learning analysis method, MD, AE, and LSTM-AE models were constructed. Comparing three unsupervised learning analysis methods, the LSTM-AE model detected 75% of anomalies and showed the best performance. This study aims to contribute to the advancement of the smart factory by combining supervised and unsupervised learning techniques to accurately diagnose equipment failures and predict when abnormal situations occur, thereby laying the foundation for preemptive responses to abnormal situations. do.