• Journal of the Korean Society of Propulsion Engineers
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• v.18 no.2
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• pp.1-9
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• 2014

To investigate the flame dynamics in an annular combustor with single swirl injector, a 3D large-eddy simulation (LES) and a level-set flamelet turbulent combustion model have been implemented. The LM6000 developed by GEAE has been used as the combustor of concern and boundary conditions are based on experimental data. The strong central toroidal recirculation zone induced by the volume expansion of the combustion gas and the vortex breakdown continuously occurred through the procession of the vortex with decreasing strength, are observed.

• Food Science of Animal Resources
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• v.35 no.3
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• pp.398-405
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• 2015

Egg allergy has been shown to be the most common food allergy in children with atopic dermatitis. Allergic reactions to proteins derived from egg white (EW) are more common than those derived from egg yolk. Ovomucoid, ovalbumin, ovotransferrin, and lysozyme have been identified as major allergens in EW. This study was conducted to evaluate the effect of EW on immune modulation in an induced allergy mouse model. A total of 50 five-week-old BALB/c male mice were treated with trimellitic anhydride (TMA) for three weeks to induce allergy-like symptoms. The TMA-treated mice were rested for one week and then divided into five groups and fed 0, 10, 50, and 100 mg/d EW for four weeks. All EW consumption groups showed no significant increase or decrease in the populations of white blood cells; however, a significant increase in B-lymphocyte activity was observed in the fourth week. Furthermore, EW consumption did not influence serum immunoglobulin G and immunoglobulin E levels. Taken together, these data demonstrate that the consumption of EW by TMA-treated mice did not increase allergic parameters such as serum IgE level, but enhanced the lymphocyte activities against pathogens. Therefore, this study suggests that the consumption of EW promotes Th2 immune modulation, and EW could be an excellent candidate for maintaining health.

• International Journal of Aeronautical and Space Sciences
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• v.16 no.3
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• pp.418-424
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• 2015

The chemical response of energetic materials is analyzed in terms of 1) the thermal decomposition under the thermal stimulus and 2) the reactive flow upon the mechanical impact, both of which give rise to an exothermic thermal runaway or an explosion. The present study aims at building a set of chemical kinetics that can precisely model both thermal and impact initiation of a heavily aluminized cyclotrimethylene-trinitramine (RDX) which contains 35% of aluminum. For a thermal decomposition model, the differential scanning calorimetry (DSC) measurement is used together with the Friedman isoconversional method for defining the frequency factor and activation energy in the form of Arrhenius rate law that are extracted from the evolution of product mass fraction. As for modelling the impact response, a series of unconfined rate stick data are used to construct the size effect curve which represents the relationship between detonation velocity and inverse radius of the sample. For validation of the modeled results, a cook-off test and a pressure chamber test are used to compare the predicted chemical response of the aluminized RDX that is either thermally or mechanically loaded.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.193-202
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• 2021

Barrier-free is defined as inclusive design of built environments such as building and its facilities that can be approached, entered and used by persons with disabilities. The purpose of this paper develops the content that can identify the physical barriers in the way of movement and provide information associated with barrier-free by using both Geospatial Information and Virtual Reality technology. For this, we conducted literature reviews to find the tackling barriers in terms of barrier-free access and extracted main functions to construct the content. Then, the prototype model which composed of VR engine and 3D geospatial data was implemented, and finally the utilization of the prototype was checked in accordance with barrier-free scenario. The developed prototype model of this study would be contributed to design the barrier-free of public places and access to public buildings for the mobility-disabled people.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.41 no.4
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• pp.461-468
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• 2021

The role of drones is increasing day by day in smart construction that manages construction sites with 3D data in every life cycles. This is because both the digital surface model (DSM) and the orthoimage obtained for the construction site through the drone are made of point cloud data. This study aims to develop standard work types for drone use in order to systematically utilize drones in expressway construction sites. For the study, two expressway construction sites in Korea were set as test beds, and construction types applicable to drones were derived and verified through a pilot project. As a result of the study, three construction work types were developed for road planning, road design and maintenance, respectively, and in road construction, twenty-one detailed construction types were developed for five construction work types. It is expected that drones can be used more systematically not only at expressway construction sites, but also at other road construction sites by utilizing the "standard work type at expressway construction site for drone use" developed in this study.

• Korean Journal of Remote Sensing
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• v.37 no.5_3
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• pp.1405-1423
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• 2021

Precipitation is one of the main factors that affect water and energy cycles, and its estimation plays a very important role in securing water resources and timely responding to water disasters. Satellite-based quantitative precipitation estimation (QPE) has the advantage of covering large areas at high spatiotemporal resolution. In this study, machine learning-based rainfall intensity models were developed using Himawari-8 Advanced Himawari Imager (AHI) water vapor channel (6.7 ㎛), infrared channel (10.8 ㎛), and weather radar Column Max (CMAX) composite data based on random forest (RF). The target variables were weather radar reflectivity (dBZ) and rainfall intensity (mm/hr) converted by the Z-R relationship. The results showed that the model which learned CMAX reflectivity produced the Critical Success Index (CSI) of 0.34 and the Mean-Absolute-Error (MAE) of 4.82 mm/hr. When compared to the GeoKompsat-2 and Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks (PERSIANN)-Cloud Classification System (CCS) rainfall intensity products, the accuracies improved by 21.73% and 10.81% for CSI, and 31.33% and 23.49% for MAE, respectively. The spatial distribution of the estimated rainfall intensity was much more similar to the radar data than the existing products.

• Journal of Korea Water Resources Association
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• v.55 no.spc1
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• pp.1177-1185
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• 2022

The water and sewage system is an infrastructure that provides safe and clean water to people. In particular, since the water and sewage pipelines are buried underground, it is very difficult to detect system defects. For this reason, the diagnosis of pipelines is limited to post-defect detection, such as system diagnosis based on the images taken after taking pictures and videos with cameras and drones inside the pipelines. Therefore, real-time detection technology of pipelines is required. Recently, pipeline diagnosis technology using advanced equipment and artificial intelligence techniques is being developed, but AI-based defect detection technology requires a variety of learning data because the types and numbers of defect data affect the detection performance. Therefore, in this study, various defect scenarios are implemented using 3D printing model to improve the detection performance when detecting defects in pipelines. Afterwards, the collected images are performed to pre-processing such as classification according to the degree of risk and labeling of objects, and real-time defect detection is performed. The proposed technique can provide real-time feedback in the pipeline defect detection process, and it would be minimizing the possibility of missing diagnoses and improve the existing water and sewerage pipe diagnosis processing capability.

• Korean Journal of Health Education and Promotion
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• v.12 no.2
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• pp.48-61
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• 1995

This study attempted to analyze the health habits affecting health status of industrial workers. Data was collected from 57 industries of 900 workers at Inchon. The research has been carried out through self-administered questionnaire and from the analysis of the health examination records and the results were as follows: 1. Among 861 respondents, men were 81.2%, women were 18.8%, 42, 6% were of the 30-40 age group, the married were 65.7%, the single were 32.5%, the high school graduates were 62.4% and 37.3% were of people who worked between 1 and 5 years. 2. As far as the seven health habits, current smokers were 54.9%, people who regularly exercise was 31.7%, 7-8 hour of sleep, on the average were 74.0%, people eating breakfast nearly every day were 8.0%, and people eating between meals almost every day were 54.2%. Heavy drinkers who drink 3-4 times or more per week were 13.2%, 1-2 times per week were 26.8% and the obese were 4.6%, 3. Health status of A and B, estimated by doctors in the health examination were 81.7% and C, D1, D2, the unhealthy were 18.3%. Men were reported more than women in unhealthy groups and the results regarding health status reflect gender, educational level and age, That is to say that, lower educational level group and over 30 years of age group perceive their health to be worse than the higher educational level and under 30 age group, And these differences were statistically significant. 4. The relationship between health habits and health status, expressed in terms of the odds ratio. Current smokers had a consistently worse health status than a nonsmokers with a 1.36 odds ratio. The workers who reported eating breakfast rarely or never were more associated with the unhealthy group than the regular breakfast eating group with a 2.48 odds ratio. One or more drink per week had a worse health status than a never or a little drinker with a 1.42 odds ratio. 5, The Health habits score and duration of work were selected as significant factors influencing health status based on logistic analysis. According to the results of this model, the odds ratio of good health status was 2.06 for good health habit score, 1.55 for population who worked seven years or more duration of work. As we have seen, good practices were found to be associated with better health and the effect of the health habits was cummulative;those who followed 6-7 health habits were in better health, even though they were older than those who failed to do so. Therefore, in order to provide the health promotion of workers it is necessary to establish a health management plan for an effective health education and health service. If we use this type of study as a prospective study design, we can get a precise basic data for health promotion and a management plan for industrial workers.

• The Journal of Korean Society for Radiation Therapy
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• v.14 no.1
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• pp.175-186
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• 2002

The purpose of this study is directly measure and evaluate about absorbed dose change according to nominal energy and electron cone or medical accelerator on isodose curve, percentage depth dose, contaminated X-ray, inhomogeneous tissue, oblique surface and irradiation on intracavitary that electron beam with high energy distributed in tissue, and it settled standard data of hish energy electron beam treatment, and offer to exactly data for new dote distribution modeling study based on experimental resuls and theory. Electron beam with hish energy of $6{\sim}20$ MeV is used that generated from medical linear accelerator (Clinac 2100C/D, Varian) for the experiment, andwater phantom and Farmer chamber md Markus chamber und for absorbe d dose measurement of electron beam, and standard absorbed dose is calculated by standard measurements of International Atomic Energy Agency(IAEA) TRS 277. Dose analyzer (700i dose distribution analyzer, Wellhofer), film (X-OmatV, Kodak), external cone, intracavitary cone, cork, animal compact bone and air were used for don distribution measurement. As the results of absorbed dose ratio increased while irradiation field was increased, it appeared maximum at some irradiation field size and decreased though irradiation field size was more increased, and it decreased greatly while energy of electron beam was increased, and scattered dose on wall of electron cone was the cause. In percentage depth dose curve of electron beam, Effective depth dose(R80) for nominal energy of 6, 9, 12, 16 and 20 MeV are 1.85, 2.93, 4.07, 5.37 and 6.53 cm respectively, which seems to be one third of electron beam energy (MeV). Contaminated X-ray was generated from interaction between electron beam with high energy and material, and it was about $0.3{\sim}2.3\%$ of maximum dose and increased with increasing energy. Change of depth dose ratio of electron beam was compared with theory by Monte Carlo simulation, and calculation and measured value by Pencil beam model reciprocally, and percentage depth dose and measured value by Pencil beam were agreed almost, however, there were a little lack on build up area and error increased in pendulum and multi treatment since there was no contaminated X-ray part. Percentage depth dose calculated by Monte Carlo simulation appeared to be less from all part except maximum dose area from the curve. The change of percentage depth dose by inhomogeneous tissue, maximum range after penetration the 1 cm bone was moved 1 cm toward to surface then polystyrene phantom. In case of 1 cm and 2 cm cork, it was moved 0.5 cm and 1 cm toward to depth, respectively. In case of air, practical range was extended toward depth without energy loss. Irradiation on intracavitary is using straight and beveled type cones of 2.5, 3.0, 3.5 $cm{\phi}$, and maximum and effective $80\%$ dose depth increases while electron beam energy and size of electron cone increase. In case of contaminated X-ray, as the energy increase, straight type cones were more highly appeared then beveled type. The output factor of intracavitary small field electron cone was $15{\sim}86\%$ of standard external electron cone($15{\times}15cm^2$) and straight type was slightly higher then beveled type.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.2C
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• pp.156-165
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• 2006

In this paper, a new intelligent moving target tracking and surveillance system basing on the pan/tilt-embedded stereo camera system is suggested and implemented. In the proposed system, once the face area of a target is detected from the input stereo image by using a YCbCr color model and phase-type correlation scheme and then, using this data as well as the geometric information of the tracking system, the distance and 3D information of the target are effectively extracted in real-time. Basing on these extracted data the pan/tilted-imbedded stereo camera system is adaptively controlled and as a result, the proposed system can track the target adaptively under the various circumstance of the target. From some experiments using 480 frames of the test input stereo image, it is analyzed that a standard variation between the measured and computed the estimated target's height and an error ratio between the measured and computed 3D coordinate values of the target is also kept to be very low value of 1.03 and 1.18$\%$ on average, respectively. From these good experimental results a possibility of implementing a new real-time intelligent stereo target tracking and surveillance system using the proposed scheme is finally suggested.