• Journal of Radiation Protection and Research
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• v.19 no.2
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• pp.109-120
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• 1994

A method for estimating the effectiveness of each protective action against a nuclear accident has been proposed using the fuzzy set theory. In most of the existing countermeasure models in actions under radiological emergencies, the large variety of possible features is simplified by a number of rough assumptions. During this simplification procedure, a lot of information is lost which results in much uncertainty concerning the output of the countermeasure model. Furthermore, different assumptions should be used for different sites to consider the site specific conditions. Tn this study, the diversity of each variable related to protective action has been modelled by the linguistic variable. The effectiveness of sheltering and evacuation has been estimated using the proposed method. The potential advantage of the proposed method is in reducing the loss of information by incorporating the opinions of experts and by introducing the linguistic variables which represent the site specific conditions.

• Journal of Korea Soil Environment Society
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• v.4 no.2
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• pp.163-174
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• 1999

This paper presents a case history of remedial action adopted for contaminated groundwater in a landfill. The objectives of the projects are : (1) to effectively confine contaminated groundwater with an economically reasonable means, (2) to prevent further contamination of soil by collecting and treat the contaminant. and (3) to assure the environmental safety of the landfill during its operating period. Reported are the process from site investigation, through design and construction of an appropriate remedial action, to the monitoring of the selected confinement system. In view of the results of site investigation, deep soil mixing cutoff wall using the DMW(deep soil mixing cutoff wall) method and specially produced HEC soil stabilizer were used for the construction of deep soil mixing cutoff wall. For rock foundation with sever fractures, chemical grout curtain with urethane was installed. The monitoring results to date indicate that the selected vertical barrier performed satisfactorily.

• Journal of Soil and Groundwater Environment
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• v.12 no.1
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• pp.73-86
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• 2007

Risk-based remediation strategy (RBRS) is a consistent decision-making process for the assessment and response to chemical release based on protecting human health and the environment. The decision-making process described integrates exposure and risk assessment practices with site assessment activities and remedial action selection to ensure that the chosen actions are protective of human health and the environment. The general sequences of events in Tier 1 is as follows: initial site assessment, development of conceptual site model with all exposure pathways, data collection on pollutants and receptors, and identification of risk-based screening level (RBSL). If site conditions do not meet RBSL, it needs further site-specific tier evaluation, Tier 2. In most cases, only limited number of exposure pathways, exposure scenarios, and chemicals of concern are considered the Tier 2 evaluation since many are eliminated from consideration during the Tier 1 evaluation. In spite of uncertainties due to the conservatism applied to risk calculations, limitation in site-specific data collections, and variables affecting the selection of target risk levels and exposure factors, RBRS provides us time- and cost-effectiveness of the remedial action. To ensure reliance of the results, the development team should consider land and resource use, cumulative risks, and additive effects. In addition, it is necessary to develop appropriate site assessment guideline and reliable toxicity assessment method, and to study on site-specific parameters and exposure parameters in Korea.

• Journal of Korea Entertainment Industry Association
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• v.13 no.1
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• pp.199-206
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• 2019

This study aims to identify whether the action-observation training impacts on the improvement of stroke patient's cognitive functioning. When it comes to the research methods, Korean version of Mini-Mental State Examination (MMSE-K) and Literacy Independent Cognitive Assessment (LICA) conducted to assess samples between 23 April and 18 May 2018. Samples are seven patients who are hospitalized in Kyung-In region. In the meantime, seven tasks such as the range of joint motion (ROM) dance, arrangement of pullover clothes, lacing-ups of a pair, folding up a facecloth and socks, the origami and tying a necktie implemented as the action-observation programme. In order to analyse collected data, descriptive statistics analysis, paired t-test and the Wilcoxon signed-rank test were carried out via SPSS version 20 (a statistics programme). The change in value from MMSE-K showed its statistical significant as 3.29 (±1.38, p<.001) as well as value from LICA in recollective powers was 12.16 (±6.73), therefore, the statistic is said to be statistically significant. In conclusion, action-observation training most influenced recollective powers amongst stroke patient's cognitive functioning areas. Even though development of cognitive functioning discovered in other areas, its values were possibly statistically insignificant. Hence, future research ought to demonstrate which areas action-observation training is effective according to brain lesion site.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.709-713
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• 2009

Recently, a lot of research that applies data acquired from devices such as cameras and RFIDs to context aware services is being performed in the field on Life-Log and the sensor network. A variety of analytical techniques has been proposed to recognize various information from the raw data because video and audio data include a larger volume of information than other sensor data. However, manually watching a huge amount of media data again has been necessary to create supervised data for the update of a class or the addition of a new class because these techniques generally use supervised learning. Therefore, the problem was that applications were able to use only recognition function based on fixed supervised data in most cases. Then, we proposed a method of acquiring supervised data from a video sharing site where users give comments on any video scene because those sites are remarkably popular and, therefore, many comments are generated. In the first step of this method, words with a high utility value are extracted by filtering the comment about the video. Second, the set of feature data in the time series is calculated by applying functions, which extract various feature data, to media data. Finally, our learning system calculates the correlation coefficient by using the above-mentioned two kinds of data, and the correlation coefficient is stored in the DB of the system. Various other applications contain a recognition function that is used to generate collective intelligence based on Web comments, by applying this correlation coefficient to new media data. In addition, flexible recognition that adjusts to a new object becomes possible by regularly acquiring and learning both media data and comments from a video sharing site while reducing work by manual operation. As a result, recognition of not only the name of the seen object but also indirect information, e.g. the impression or the action toward the object, was enabled.

• International conference on construction engineering and project management
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• 2020.12a
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• pp.313-322
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• 2020

The recognition of the risk hazards is a vital step to effectively prevent accidents on a construction site. The advanced development in computer vision systems and the availability of the large visual database related to construction site made it possible to take quick action in the event of human error and disaster situations that may occur during management supervision. Therefore, it is necessary to analyze the risk factors that need to be managed at the construction site and review appropriate and effective technical methods for each risk factor. This research focuses on analyzing Occupational Safety and Health Agency (OSHA) related to risk zone identification rules that can be adopted by the image recognition technology and classify their risk factors depending on the effective technical method. Therefore, this research developed a pattern-oriented classification of OSHA rules that can employ a large scale of safety hazard recognition. This research uses joint reasoning of risk zone Identification and numeric input by utilizing a stereo camera integrated with an image detection algorithm such as (YOLOv3) and Pyramid Stereo Matching Network (PSMNet). The research result identifies risk zones and raises alarm if a target object enters this zone. It also determines numerical information of a target, which recognizes the length, spacing, and angle of the target. Applying image detection joint logic algorithms might leverage the speed and accuracy of hazard detection due to merging more than one factor to prevent accidents in the job site.

• Management & Information Systems Review
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• v.21
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• pp.131-154
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• 2007

The purpose of this study is to understand a information technology acceptance model and to test empirically using field survey. In order to achieve this purpose, first of all, I examined literature reviews about the theory of reasoned action(TRA), the theory of planned behavior(TPB), and the theories of technology acceptance model(TAM). Based on literature reviews, I proposed a technology acceptance model and empirically verified it through using field survey. As a result of, this study was designed to predict and to explain the factors of affecting reuses of a website. The data that were surveyed 193 users of internet were analyzed with SPSS 12.0 and AMOS 4.0. The major results of this study as follows : First, the perceived complexity is influenced by the skill & experience and the quality of system. Second, the quality of system affects the perceived usefulness. Third, the perceived complexity affects the perceived usefulness and the perceived playfulness. Fourth, reuses of a web site are influenced by the perceived usefulness and the perceived playfulness. Finally, the quality of system affects the perceived usefulness and the skill & experience affect the perceived playfulness.

• YAKHAK HOEJI
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• v.43 no.3
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• pp.404-410
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• 1999

Administration of capsaicin produces acute pain and subsequent long-lasting antinociception. The antinociceptive action site of capsaicin is primarily small afferent nerve fibers. However, the effect of capsaicin on the neural activity of dorsal horn neurons are not well understood. The goal of the present experiment was to study the action of capsaicin on activity of dorsal horn neurons using c-fos immunoreactivity in the spinal cord. Intradermal injection of formalin in the hindpaw produced inflammation in the foot pad and increased the number of cells exhibiting Fos-like immunoreactivity (FLI) in the dorsal horn of the spinal cord, suggesting the hyperalgesia because of the apparent inflammation. Intradermal injection of capsaicin prior to formalin injection significantly reduced the number of cells exhibiting FLI induced by formalin and increased the paw-withdrawal latency, suggesting the hypoalgesic effect of capsaicin. Coadministeration with capsaicin of capsazepine and ruthenium red, antagonists of capsaicin receptor reversed the reduction of formalin-induced FLI by capsaicin. he antagonists also partially antagonized the antinociceptive effect of capsaicin in the paw-withdrawal test. These results further suggest that capsaicin reduces prsponses of dorsal horn neurons to the inflammatory nociceptive stimuli in the periphery. Thus, the reduction of FLI subserves the neural mechanisms underlying analgesia produced by capsaicin.

• Archives of Pharmacal Research
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• v.26 no.8
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• pp.659-665
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• 2003

We have studied the effect of rhEGF on the buccal mucosal ulcer healing. rhEGF was rapidly degraded upon incubation with the hamster buccal mucosal homogenates; The degradation of rhEGF was significantly inhibited by sodium lauryl sulfate (SLS). Eudispert hv hydrogel and Polycarbophil 974P hydrogel were prepared for rhEGF delivery and their mucoadhesiveness was measured by the $Instron^R$ method. The mucoadhesive force of Eudispert hv was significantly greater than that of Polycarbophil 974P. Moreover, rhEGF in Eudispert hv hydrogel remained stable for about 2 months. To evaluate the ulcer healing effect of rhEGF, the buccal mucosal ulcer was induced in golden hamsters using acetic acid. At 24 h after administration of rhEGF/Eudispert hv hydrogel, the ulcerous area was decreased compared with rhEGF solution and, as a result, the curative ratio was $36.8\pm5.68$%. By the addition of SLS (0.5%) to Eudispert hv hydrogel, the curative ratio increased 1.5 times. The mechanism of the action was probably due to a combination of protection of the drug against proteases present in mucosa and prolongation of the release of rhEGF from the formulation at the site of action.

• Journal of the Korean Society of Safety
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• v.34 no.6
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• pp.38-49
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• 2019

While the overall industrial accident rate has been decreased, but those of the construction industry has not been. For safety management during the planning/design phase, which accounts for 45% of the cause of accident at the construction site, Design For Safety (DFS) was established to minimize a hazard and risk in 2016. Currently, DFS system has difficulty settling down in Korea due to the several reasons. So, this paper aims to propose to the Key Success Factor (KSF) and related action plan to improve DFS system. This study was conducted by following 2 steps: i) identification of problems on current DFS, and ii) proposal of KSF and following action plan for DFS. The DFS in Korea was compared with UK, Singapore, Australia, and US on 7 criteria (application target, execution period, change of design, collaboration among participants, expert participants, alternative review and decision support system). DFS was compared with other countries's system based on the identical criteria and the corresponding improvement measures were also proposed. The results of this study can be utilized to improve DFS system in various aspects.