• Journal of the Korean Geotechnical Society
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• v.36 no.3
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• pp.15-23
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• 2020

Ground motion models predicting intensity measures on surface use a time-averaged shear wave velocity, V_S30, as a key variable simulating site effect. The V_S30 can be directly estimated from V_S profiles if the profile depth (z) is greater than or equal to 30 m. However, some sites have V_S profiles with z < 30 m. In this case V_S30 can be predicted using extension models. This study proposes new coefficient sets for existing prediction equations using 297 Korea V_S profiles. We have collected V_S profiles from KMA and Geoinfo database. Fitting six existing methods to data, we suggest new coefficients for each method and evaluate their performance. It turns out that if z ≥ 15 m, the standard deviation (σ) of residual in log₁₀ is 0.061, which indicates that the estimated V_S30 is nearly accurate. If z < 15 m, the σ keeps increasing up to 0.1 for z = 5 m, so we caution the use of models at very low z. Nonetheless, we recommend investigating up to 30 m depth for V_S30 calculation if possible.

• Journal of Biomedical Engineering Research
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• v.23 no.5
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• pp.341-349
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• 2002

The target controlled infusion(TCI) pump system is a logical approach to the development of improved administration techniques of an intravenous anaesthetic agent. The principle of TCI system is based on an understanding of the pharmacokinetic properties, three or four compartment model. The TCI system is optimal and flexible control of the plasma drug concentration. But the clinical goal is always to achieve a therapeutic drug effect, not a therapeutic concentration. So we developed the algorithm to target the concentration at the site of drug effect rather than the concentration in the plasma. If impulse drug is inputted into body, the decline of plasma concentration with time is shown, resulting in the expression of the differential equation. Therefore, we must reformulate our three-compartment model as four-compartment model with the effect compartment. And we tested plasma targeting and effect targeting algorithm by computer simulation using four-compartment model. So we developed the TCI capable of applying all intravenous drugs by adjusting individual pharmacokinetic parameters independently.

• Conservation Science in Museum
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• v.14
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• pp.23-28
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• 2013

This paper aimed to show the whole conservation process of the human shaped terra cotta mask that was excavated from one of construction sites at Jungcheon-ri, Geumsan-myeon, Jinju. This mask was X-rayed to get the correct making techniques and there are 4 holes on the top of the head and each diameter of the 3 holes is exact and the other hole is different from the three. The long and sharp shape of the nose is in trapezoid which was separately made with clay and put on (the face). It's found that there are round grooves each around upper and down lips. (upper in length: 10mm, down in length: 6 mm). All restoring materials and adhesives used for restoration to associate each piece are reversibility materials. According to a few points on buried bones of animals distributed around the sites, holes and grooves on the top of the head, ears and teeth to wear something, it academically presumes that this mask could be possibly used for the group ritual. Especially, the whole procedure from excavation to scientific conservation process resulted to have a special exhibition to give the public new eyes how the exhibition realizes to the public.

• The Korean Journal of Archival Studies
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• no.44
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• pp.101-151
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• 2015

This article analyzes biographies of women participants in Miryang struggle against 765㎸ transmission tower and finds that the experience of state violence under the ideological conflicts works the biographical context of participation in environment movement. The cases analyzed in this article disclose the family member's experience of state violence and their trauma through the participation in social movement. And they legitimize their family member's life, heal their trauma, and live a new life by the social movement participation. But the power of healing trauma comes from solidarity and support in social movement. Findings of this article imply that experiences of state violence have influence on the formation and development of various Korean social movements and we need more solidarity and democracy for healing the trauma occurred by state violence and concealed in individual memory. Findings of this article also suggest the importance of biography documents. Biography documents can contribute to widen and to deepen understandings on the social interaction and social history, because they are the document about people's experience who are excluded from the official history and character culture. Moreover biography documents can compensate the official documents, because they can offer the context to the social actions in the official documents. More accumulations and analyses on biographies can serve to widen and to deepen understanding and explanation of Korean society having multilayered exclusion in the process of the compressed modernization and the history of national division.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.5
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• pp.27-35
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• 2019

The purpose of this study is to analyze the displacement characteristics in slow-moving landslide area using digital elevation model and airborne LiDAR when unpredictable disaster such as slow-moving landslide occurred. We also aimed to provide basic data for establishing a rapid, reasonable and effective restoration plan. In this study, slow-moving landslide occurrence cracks were selected through the airborne LiDAR data, and the topographic changes and the scale of occurrence were quantitatively analyzed. As a result of the analysis, the study area showed horseshoe shape similar to the general form of slow-moving landslide occurrence in Korea, and the direction of movement was in the north direction. The total area of slow-moving landslide damage was estimated to about 2.5ha, length of landsldie scrap 327.3m, average width 19.3m, and average depth 8.6m. The slow-moving landslides did not occur on a large scale but occurred on the adjacent slope where roads were located, caused damage to retaining walls and roads. The field survey of slow-moving landslides was limited by accessibility and safety issues, but there was an advantage that accurate analysis was possible through the airborne LiDAR. However, because airborne LiDAR has costly disadvantages, it has proposed a technique to mount LiDAR on UAV for rapidity, long-term monitoring. In a slow-moving landslide damage area, information such as direction of movement of cracks and change of scale should be acquired continuously to be used in restoration planning and prevention of damage.

• Fire Science and Engineering
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• v.33 no.1
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• pp.76-84
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• 2019

Experimental studies using an open cone calorimeter were conducted to provide information on the CO and soot yields of wood combustibles required for a kitchen fire simulation of PBD. A total of eight specimens were examined for medium density fiberboard (MDF) and particle board (PB), which are used widely in kitchen furniture production, depending on the water content, surface processing method, and surface color. The thermal penetration time related to the fire spread rate in the depth direction differed significantly according to the surface processing treatment method, even for a specimen of identical thickness. The CO yield ($y_{CO}$) of the MDF and PB series did not change significantly according to the combustion mode and surface treatment process in flaming mode. On the other hand, $y_{CO}$ was approximately 10 times higher in smoldering mode than in flaming mode. The soot yield ($y_{soot}$), however, varied considerably depending on the combustion mode and surface treatment process. In particular, a higher $y_{soot}$ was found in flaming mode and in the surface-treated specimens. Finally, the $y_{CO}$ and $y_{soot}$ of MDF and PB measured for the kitchen fire simulation of PBD were applied.

• Journal of Bio-Environment Control
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• v.28 no.4
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• pp.358-365
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• 2019

This study was conducted to estimate the dimensions of horticultural products and the mean plant height of plug seedlings using three-dimensional (3D) images. Two types of camera, a ToF camera and a stereo-vision camera, were used to acquire 3D images for horticultural products and plug seedlings. The errors calculated from the ToF images for dimensions of horticultural products and mean height of plug seedlings were lower than those predicted from stereo-vision images. A new indicator was defined for determining the mean plant height of plug seedlings. Except for watermelon with tap, the errors of circumference and height of horticultural products were 0.0-3.0% and 0.0-4.7%, respectively. Also, the error of mean plant height for plug seedlings was 0.0-5.5%. The results revealed that 3D images can be utilized to estimate accurately the dimensions of horticultural products and the plant height of plug seedlings. Moreover, our method is potentially applicable for segmenting objects and for removing outliers from the point cloud data based on the 3D images of horticultural crops.

• Journal of Convergence for Information Technology
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• v.11 no.7
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• pp.75-83
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• 2021

Recently, as consumer interest in DIY increases and the industry develops, theoretical interest in DIY is also gradually increasing, but in-depth research has hardly been conducted. In particular, research on DIY marketing from a marketing perspective is lacking, and moreover, the influence of the characteristics of individuals participating in DIY has hardly been studied. Therefore, the purpose of this study is to supplement the limitations of these existing studies by examining the effect of individual characteristics on DIY experience and intention to continue. We propose affect intensity, need for cognition, and self-efficacy as personal characteristics that influence DIY experience. In addition, we hypothesized the effects of these variables on the DIY experience such as sense, feel, think, act, relate, and the effect of the DIY experience on intention to continue DIY. We analyzed 231 copies of data for consumers who have experienced DIY in various fields, and the results are as follows. As expected, it was found that affect intensity positively influenced sense and feel, need for cognition had a positive effect on think, and self-efficacy had a positive effect on act and relate. As expected, it was found that affect intensity had an effect on sense and feel, need for cognition had an effect on think, and self-efficacy had a positive effect on act and relate. And it was confirmed that all DIY experiences had a positive effect on the intention to continue DIY. This study provides theoretical and strategic implications by confirming the influence of personal characteristics of DIY consumers and approaching DIY from the perspective of a comprehensive experience.

• The Journal of Sustainable Design and Educational Environment Research
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• v.20 no.4
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• pp.13-20
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• 2021

In the world, each country is preparing various policies to promote start-ups, and the Korean government is actively promoting policies to support start-ups and the national economy through technology-based start-ups for creating jobs. Recently, the number of start-up companies is on the rise. In particular, in accordance with the industrial structure transformation leading the 4th Industrial Revolution, technology-based start-ups are steadily growing based on knowledge-based services such as information and communication, science and technology service industry, and business support service industry. The purpose of this study is to find out whether the startup space provided by the university reflects the startup-friendly characteristics, and to investigate and analyze the satisfaction and requirements of the space required by the actual college campus startup space users to create a more efficient space configuration plan. Through this study, factors that should be considered first for universities in preparing startup spaces were derived for each space element. Therefore, it is necessary for university campuses to deeply recognize the importance of space provision among the future start-up support systems, and to improve them periodically through the consumers' satisfaction of the space in the construction and improvement of startup spaces.

• Journal of Korean Tunnelling and Underground Space Association
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• v.24 no.4
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• pp.341-353
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• 2022

Pipelines are buried in urban area, and the position (depth and orientation) of buried pipeline should be clearly identified before ground excavation. Although various geophysical methods can be used to detect the buried pipeline, it is not easy to identify the exact information of pipeline due to heterogeneous ground condition. Among various non-destructive geo-exploration methods, ground penetration radar (GPR) can explore the ground subsurface rapidly with relatively low cost compared to other exploration methods. However, the exploration data obtained from GPR requires considerable experiences because interpretation is not intuitive. Recently, researches on automated detection technology for GPR data using deep learning have been conducted. However, the lack of GPR data which is essential for training makes it difficult to build up the reliable detection model. To overcome this problem, we conducted a preliminary study to improve the performance of the detection model using finite difference time domain (FDTD)-based numerical analysis. Firstly, numerical analysis was performed with homogeneous soil media having single permittivity. In case of heterogeneous ground, numerical analysis was performed considering the ground heterogeneity using fractal technique. Secondly, deep learning was carried out using convolutional neural network. Detection Model-A is trained with data set obtained from homogeneous ground. And, detection Model-B is trained with data set obtained from homogeneous ground and heterogeneous ground. As a result, it is found that the detection Model-B which is trained including heterogeneous ground shows better performance than detection Model-A. It indicates the ground heterogeneity should be considered to increase the performance of automated detection model for GPR exploration.