• Journal of Korean Society of Industrial and Systems Engineering
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• v.13 no.21
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• pp.29-41
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• 1990

An assessment of risk in industrial and urban environments is essential in the prevention of accident and in the analysis of situations which are hazardous to public health and safety. The risk imposed by a particular hazard increases with the likelihood of occurence of the event, the exposure and the possible consequence of that event. In a traditional approach, the calculation of a quantitative value of risk is usually based on an assignment of numerical values of each of the risk factors. Then the product of the values of likelihood, exposure and consequences called risk score is derived. However vagueness and imprecision in mathematical quantification of risk are equated with fuzziness rather than randomness. In this paper, a fuzzy set theoretic approach to risk analysis is proposed as an alternative to the techniques currently used in the area of systems safety. Then the concept of risk evaluation using linguistic representation of the likelihood, exposure and consequences is introduced. A risk assessment model using approximate reasoning technique based on fuzzy logic is presented to drive fuzzy values of risk and numerical example for risk analysis is also presented to illustrate the results.

• Proceedings of the KSR Conference
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• 2008.06a
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• pp.1128-1130
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• 2008

Bimodal tram is a new public transportation to improve the existing traffic system. The purpose of this study was to investigate the environmental characteristics of the developed bimodal tram through its life cycle. The used tool was life cycle assessment (LCA), which could evaluate environmental loads quantitatively for a product. Based on bill of material (BOM), the environmental impacts of bimodal tram was calculated from manufacturing to operating phase. Among impact categories, photochemical oxidant creation potential (POCP) was the highest, which was resulted from the manufacturing and the combustion of CNG used as a fuel of bimodal tram. In the future, the application of LCA results can enhance increasingly the environment of bimodal tram as an environmental-friendly transportation.

• Transactions of Materials Processing
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• v.12 no.4
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• pp.320-327
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• 2003

This paper is concerned with forming analysis of Front Side Members and effects of the forming analysis on crash analysis of an auto-body. For efficient forming analysis, equivalent draw-bead restraining forces are calculated with ABAQUS/Standard and then used as the boundary condition in forming simulation. In order to demonstrate the validity of the forming analysis, the thickness variation in the numerical simulation result is compared quantitatively with the one in the real product. Forming histories obtained kom the forming analysis are utilized as the initial condition of the crash analysis for accurate assessment of the crashworthiness. Crashworthiness such as the load-carrying capacity, crash mode and the energy absorption is evaluated and investigated for the identification of forming effects.

• The Journal of Korean Medicine
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• v.17 no.1 s.31
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• pp.478-493
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• 1996

The components of Red-ginseng radix extract solution for herb- acupuncture were analyzed by HPLC. According to the Medical Product Safety Administration Guidelines for safety assessment, mice and rats were used for acute toxicity test. The results were summarized as follows; 1. In the Saponin contents(%) of Red-ginseng radix extract, Ginsenoside $Rb_1$ Saponin was 0.27% in raw material, 1.67% in extract powder and Ginsenoside Rc Saponin was 0.16% in raw material, 1.12% in extract powder and Ginsenoside Rd Saponin was 0.08% in raw material, 0.54% in extract powder. 2. There were no abnormal findings in acute toxicity test treated with Red-ginseng radix extract solution for herb-acupuncture and $LD_{50}$ could not be measured.

• Journal of the Ergonomics Society of Korea
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• v.25 no.4
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• pp.63-69
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• 2006

Consumer satisfaction and feelings with form play an essential role in determining the success of a product. However, contemporary industrial design processes typically employ designer driven, intuitive methods for generating and evaluating form concepts. This paper describes the implementation process of web based design support system that helps assess customer's feelings or sensibilities of forms created in each stages of design process. The present web based approach provides designers with fast and various feedbacks about their design in each stage by using assessment with object VR and web 3D as well as ordinary 2D images. Practical application for exterior design of electric vehicle was illustrated and the further refinement of the design support system was discussed.

• Nuclear Engineering and Technology
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• v.49 no.3
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• pp.638-644
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• 2017

The importance of developing a source-term assessment technology has been emphasized owing to the decommissioning of Kori nuclear power plant (NPP) Unit 1 and the increase of deteriorated NPPs. We analyzed the behavioral mechanism of corrosion products in the primary system of a pressurized heavy-water reactor-type NPP. In addition, to check the possibility of applying the CRUDTRAN code to a Canadian Deuterium Uranium Reactor (CANDU)-type NPP, the type was assessed using collected domestic onsite data. With the assessment results, it was possible to predict trends according to operating cycles. Values estimated using the code were similar to the measured values. The results of this study are expected to be used to manage the radiation exposures of operators in high-radiation areas and to predict decommissioning processes in the primary system.

• Asian Journal of Innovation and Policy
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• v.8 no.2
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• pp.274-287
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• 2019

Governments are asking policymakers to quantify the economic and social impact of those advanced technologies they support, including nanotechnology. National policymakers and researchers who participated in OECD activities cooperated to develop a model for the economic impact assessment of nanotechnology with a relevant case study. The present research contributing to some recommendations from the OECD WPN (Working Party on Nanotechnology) finds a successful example of market creation by nanotechnology, and assesses the resulting economic impact of the DEFRA (Department of Environment, Food & Rural Affairs of UK) model. This study investigates the economic impact of Quantum-dot (Qdot) nanotechnology on flat panel TV manufacturers, which is an ideal case to apply the DEFRA model for the analysis of product innovation based on nanotechnology. Findings show that Qdot nanotechnology is expected to create an economic value of $3.32 billion for Korean TV manufacturers over the next decade.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1630-1630
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• 2001

NIR specroscopy is widely used today as a quantitative technique for predicting the chemical composition of various agricultural product. However there exist few application for seed quality assessment, especially for seed germinability. This study is to show the possibilities of a nondestructive estimation of germinability in radish (Raphanus sativus L) seeds. The experiment carried out on one radish cultivar (Chung Su Gung Jung, Nong Woo Bio Co., Ltd.) harvested in 1993. NIR(Foss Co.) spectral measurements were carried out on the seeds surface of flat side. The seeds after spectral measurements were planted on blotter individually and observed germination. The seeds were characterized to nongermination and germination group, which in turn grouped to normal and abnormal germination and then compared with the NIR spectra. The spectra from these seed groups were compared each other, The result suggested that NIR spectra could be applicable to determine radish seeds germinability.

• Journal of Hydrogen and New Energy
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• v.31 no.4
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• pp.380-386
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• 2020

This paper represents an analysis of the economic impact of firing natural gas/diesel and natural gas/by-product oil mixtures in diesel engine power plants. The objects of analysis is a power plant with electricity generation capacity (300 kW). Using performance data of original diesel engines, the fuel consumption characteristics of the duel fuel engines were simulated. Then, economic assessment was carried out using the performance data and the net present value method. A special focus was given to the evaluation of fuel cost saving when firing natural gas/diesel and natural gas/by-product oil mixtures instead of the pure diesel firing case. Analyses were performed by assuming fuel price changes in the market as well as by using current prices. The analysis results showed that co-firing of natural gas/diesel and natural gas/by-product oil would provide considerable fuel cost saving, leading to meaningful economic benefits.

• Korean Journal of Remote Sensing
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• v.33 no.4
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• pp.445-454
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• 2017

The performance of spatial downscaling models depends on the quality of input coarse scale products. Thus, the impact of intrinsic errors contained in coarse scale satellite products on predictive performance should be properly assessed in parallel with the development of advanced downscaling models. Such an assessment is the main objective of this paper. Based on a synthetic satellite precipitation product at a coarse scale generated from rain gauge data, two synthetic precipitation products with different amounts of error were generated and used as inputs for spatial downscaling. Geographically weighted regression, which typically has very high explanatory power, was selected as the trend component estimation model, and area-to-point kriging was applied for residual correction in the spatial downscaling experiment. When errors in the coarse scale product were greater, the trend component estimates were much more susceptible to errors. But residual correction could reduce the impact of the erroneous trend component estimates, which improved the predictive performance. However, residual correction could not improve predictive performance significantly when substantial errors were contained in the input coarse scale data. Therefore, the development of advanced spatial downscaling models should be focused on correction of intrinsic errors in the coarse scale satellite product if a priori error information could be available, rather than on the application of advanced regression models with high explanatory power.