• Korean Journal of Organic Agriculture
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• 제19권3호
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• pp.329-341
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• 2011

This study empirically analyzes the economic validity of rape farmers. The analysis of economic evaluation is based on the benefit-cost analysis. Previous studies have undoubtedly expanded our understanding of the importance of substitution effects on a rapeseed for bio-fuels. However, earlier studies have mostly dealt with the concept of biodiesel's economics analysis, but this paper's attentions have been paid to the economic analysis of farm. The aim of this paper is suggesting the most appropriate policy brings about why farmhouses should cultivate the rape. To answer this question, this paper adopts a scenario analysis and the B/C ratio is used.

• Journal of Society of Preventive Korean Medicine
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• 제26권3호
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• pp.73-86
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• 2022

Objectives : The purpose of this study was to investigate the satisfaction of students who participated in a role play using the syndrome differentiation CPX (Clinical Performance Examination) scenario in Korean Medicine Classics class, and to find out whether the results were correlated with self-assessment of treatment skills and subject achievement. Methods : In the Korean Medicine Classics class in the first semester of 2022, 44 first-year students in the Department of Korean Medicine completed theoretical education and formative evaluation on the subject of internal damage fever, and then role-played using CPX scenarios. Among them, 41 students consented to the study. Students who agreed to the study answered the satisfaction questionnaire consisting of 13 questions in 2 areas on learning methods and effects, and self-evaluation was conducted according to the evaluation items of medical technology consisting of 23 questions. Satisfaction and self-assessment results were analyzed for correlation, and additionally, correlation with Korean Medicine Classics subject achievement was also analyzed. Results : The result of student satisfaction with the role play was 4.87±0.06 while the result of student self-assessment of clinical skill was 4.73±0.16. The student satisfaction with the role play showed statisticallysignificant correlations with the self-assessment of clinical skill and quiz score of Korean Medical Classics while it did not show correlations with the total score of Korean Medical Classics and paper test. Also, the self-assessment of clinical skill did not show correlations with the total score of Korean Medical Classics, paper test, and quiz. Conclusions : Even though the students who performed the role play using the syndrome differentiation based CPX scenario highly assessed their clinical skill and showed high satisfaction, it did not show significant correlation with the achievement of Korean Medical Classics.

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 한국농림기상학회 2014년도 추계 학술발표논문집
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• pp.168-172
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• 2014

• Journal of Auto-vehicle Safety Association
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• 제9권4호
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• pp.7-13
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• 2017

As automotive industry develops, the demand for increasing traffic safety is growing. Lots of researches about vehicle convenience and safety technology have been implemented. Now, the autonomous driving test is being conducted all over the world, and the autonomous driving regulations are also being developed. Autonomous vehicles are being commercialized, but autonomous vehicle safety has not been guaranteed yet. This paper presents scenarios that assess the safety of autonomous vehicles by identifying the minimum requirements to ensure safety for a variety of situations on highway. In assessing driving safety, seven scenarios were totally selected. Seven scenarios were related to lane keeping and lane change performance in certain situations. These scenarios were verified by analyzing the driving data acquired through actual vehicle driving. Data analysis was implemented via computer simulation. These scenarios are developed based on existing ADAS evaluation and simulation of autonomous vehicle algorithm. Also Safety evaluation factors are developed based on ISO requirements, other papers and the current traffic regulations.

• Korean Journal of Construction Engineering and Management
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• 제1권1호
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• pp.53-62
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• 2000

This study proposes FREES(Fuzzy Risk Evaluation Expert System) for analyzing and evaluating risks occurring during the construction process. The feasibility of this system model was tested by virtual scenario. For the development of the model, at first, risk breakdown structure was established based on risks identified in the existing researches, that is quantitative and qualitative. FREES can reflect human cognition process in the risk analysis and evaluation by adopting artificial intelligence fuzzy theory, differentiating the existing quantitative analysis model. The FREES can be applied to all the project phases from planning to operation & maintenance stage.

• Journal of the Korean Applied Science and Technology
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• 제37권6호
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• pp.1507-1516
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• 2020

This study analyzed the scenario for road freezing section by applying the road freezing evaluation algorithm. To apply road freezing algorithm, the influencing factors on road freezing were reviewed. Observation data from four points, Mokgam IC, Jeongneung tunnel, Seongsan bridge, and Yeomchang bridge were used for analysis. All observatories are installed on the expressway, and they are classified for the analysis of road freezing characteristics. When the difference between the road surface temperature and dew-point temperature of the road freezing evaluation algorithm was 3℃ or less, the section where road freezing occurred was checked. In addition, road freezing evaluation was derived through the change of the road surface condition and water film thickness of the freezing section.

• Journal of the Korea Academia-Industrial cooperation Society
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• 제16권3호
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• pp.2100-2108
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• 2015

This study was conducted to examine the effects of a simulation-based learning scenario using standardized respiratory patients regarding emergency care on learning satisfaction, and self efficacy, clinical skill competency of health related department students. A quasi-experimental non-equivalent control group pre-post test design was used. A total of 50 students, 25 students for the experimental group and 25 students for the control group, The experimental group received the 2 educations sessions and 1 evaluation session with 180 minutes for each session. It was implemented in November, 2013. Data were analysed using frequency, ratio and t-test by the SPSS/Win 18.0. The experimental group who had the simulation-based learning scenario using standardized respiratory patients showed significantly higher learning satisfaction and self efficacy, clinical skill competency compared with the control group who had a traditional simulation education. Through this study, simulation-based learning scenario using standardized patients was verified to be an effective teaching method to be grow up on professional competency of health related department students. Also the simulation-based learning scenario using standardized patients should be developed in the various fields.

• Clean Technology
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• 제17권4호
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• pp.285-299
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• 2011

As one of the REACH obligations, the extended safety data sheet (eSDS) should be communicated within the supply chain under the REACH Regulation. Based on technical guidance documents published on the ECHAs website and survey of EU's recent REACH-related informations, this paper includes a study on details of how to develop exposure scenarios (ES) such as structure of ES, process of ES develpoment, standard workflows and key input data to develop ES with an introduction of eSDS concept. This paper also contains an overview on operational conditions (OCs) and risk management measures (RMMs) that are what to consider when building an ES. The structure of Chesar (Chemical Safety Assessment and Report tool) developed by European Chemicals Agency (ECHA) is studied with a review of the available exposure estimation tools for workers, environment and consumers. Case example of generic exposure scenario (GES) for organic solvent is presented. To guide Korean EU-exporting companies, their participating roles in three steps of preparing ES are addressed.

• Fire Science and Engineering
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• 제33권4호
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• pp.112-120
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• 2019

Benzene is a class 4 hazardous material according to the Act on the Safety Control of Hazardous Substances. This study qualitatively evaluated the damage size of a "toxic" accident and "pool fire" accidents based on benzene in a virtual scenario of a fire and leakage accident during unloading at a port facility. The KORA program was used as an evaluation method, which is supported as a universal program by the National Institute of Chemical Safety. The range of damage effects of a benzene-induced fire and leakage accident was predicted. In the case of toxic damage range, the accident's damage effect range for the "worst case scenario" was reduced by up to 5.11% with a decrease in the size of the leakage hole. In the case of the leakage time, the damage effect range increased to 145.12% with a 10 min leakage time compared to that of a 5 min leakage time and went up to 20 min (212.29%) with a 20 min leakage time. In the case of pool-fire-induced damage, the damage effect range by radiant heat in the "worst case scenario" was 228.8 m in radius from the center of the handling facility. In the "alternative scenario," the damage effect range by radiant heat was reduced by up to 8.26% compared to that in the "worst case scenario" since the size of the leakage hole was decreased by reducing the cross-sectional area of the pipe.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권3호
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• pp.1100-1118
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• 2021

In a wide range of ML applications, the training data contains privacy-sensitive information that should be kept secure. Training the ML systems by privacy-sensitive data makes the ML model inherent to the data. As the structure of the model has been fine-tuned by training data, the model can be abused for accessing the data by the estimation in a reverse process called model inversion attack (MIA). Although, MIA has been applied to shallow neural network models of recognizers in literature and its threat in privacy violation has been approved, in the case of a deep learning (DL) model, its efficiency was under question. It was due to the complexity of a DL model structure, big number of DL model parameters, the huge size of training data, big number of registered users to a DL model and thereof big number of class labels. This research work first analyses the possibility of MIA on a deep learning model of a recognition system, namely a face recognizer. Second, despite the conventional MIA under the white box scenario of having partial access to the users' non-sensitive information in addition to the model structure, the MIA is implemented on a deep face recognition system by just having the model structure and parameters but not any user information. In this aspect, it is under a semi-white box scenario or in other words a gray-box scenario. The experimental results in targeting five registered users of a CNN-based face recognition system approve the possibility of regeneration of users' face images even for a deep model by MIA under a gray box scenario. Although, for some images the evaluation recognition score is low and the generated images are not easily recognizable, but for some other images the score is high and facial features of the targeted identities are observable. The objective and subjective evaluations demonstrate that privacy cyber-attack by MIA on a deep recognition system not only is feasible but also is a serious threat with increasing alert state in the future as there is considerable potential for integration more advanced ML techniques to MIA.