• Nuclear Engineering and Technology
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• v.53 no.2
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• pp.376-385
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• 2021

Probabilistic risk assessment (PRA) has improved its elemental technologies used for assessing external events since the Fukushima Daiichi Nuclear Power Station Accident in 2011. HRA needs to be improved for analyzing tasks performed under extreme conditions (e.g., different actors responding to external events or performing operations using portable mitigation equipment). To make these improvements, it is essential to understand plant-specific and scenario-specific conditions that affect human performance. The Nuclear Risk Research Center (NRRC) of the Central Research Institute of Electric Power Industry (CRIEPI) has developed an HRA guide that compiles qualitative analysis methods for collecting plant-specific and scenario-specific conditions that affect human performance into "narratives," reflecting the latest research trends, and models for analysis of tasks under extreme conditions.

• The Journal of Fisheries Business Administration
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• v.39 no.3
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• pp.49-65
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• 2008

In Korea, deep-sea fishing industry is faced with pressure of being thrown out of business, because of the upcoming unfavorable business conditions such as the fishing regulation of coastal countries, Korea-US Free Trade Agreement(KORUS FTA), and the other socio-economic changes. Hence, we present an evaluation of future business competitive for the deep-sea fishing industry so that the government can develop a concession plan for the deep-sea fishing industry by utilizing the results of this study. In efficiency analysis of deep-sea fishing industry, the decision maker may have two problems: (1) how to deal with multiple inputs and outputs of deep-sea fishing industry and (2) how to assign the weights on different inputs and outputs, In this paper, we proposed to use Data Envelopment Analysis (DEA) to estimate efficiency of deep-sea fishing industry with multiple inputs and outputs. In the DEA, The direct impact of KORUS FTA, fishing regulation of coastal countries, fishing charges, and competitive fishing conditions were used as input parameters while the profitability and secured fishing quarters, as outputs. The results of DEA-BCC model indicate that 6 out of 12 DUMs have better efficiency under variable return to scale assumption.

• Journal of the Korean Society of Food Culture
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• v.19 no.3
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• pp.313-325
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• 2004

The purpose of this study was to examine Korean restaurant industry during $1979{\sim}2001$, and to review Korean restaurant industry related by statistics. Finally, to predict the Korean restaurant industry, major restaurant industry was categorized into fast food restaurants, family restaurants, pizza restaurants and ice cream restaurants. A contents analysis used to review Korea food industry yearly statistics and monthly magazine 'restaurant'. Korean food service industry yearly statistics have been published since 1980, the magazine 'Restaurant' has been published since 1985, but the statistics was recorded from 1995.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.3
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• pp.544-559
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• 2023

Social discourses surrounding diversity, equity, and inclusion (DE&I) in the fashion industry are vital as they extend beyond language and encompass social practices. This study aimed to understand how discourses on DE&I with in the fashion industry are reconstructed and practiced in society. Therefore, this paper analyzed DE&I in the fashion industry, by focusing on the New York Times articles, employing a quantitative research model based on corpus analysis and a qualitative approach through critical discourse analysis. Results of the analysis of textual practice, showed that the New York Times emphasized black individuals as the central discourse and created a critical racial narrative regarding DE&I in the fashion industry characterized by a dichotomy of black vs. white confrontation. Furthermore, results of the discourse practice analysis revealed that the dichotomy of racial confrontation in the New York Times article tended to select the subject of discourse related to racial DE&I in the fashion industry according based on social and historical context. Thirdly, the analytical results of sociocultural practices indicated that the dichotomous racial discourse between black and white, propagated by the New York Times, spread across social media, transforming fashion from an industry to a domain where black individuals struggle for human rights.

• Journal of Digital Convergence
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• v.9 no.6
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• pp.187-196
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• 2011

This study found the power analysis and increase plan of Smart work industry out. We did the internet survey with 117 experts of Smart work and analyzed International competitive power and Smart work marketability. The results was as follows: First, Experts recognized the growth about Cloud computing industry so that they were most high. Second, The thing which the earning of Smart work industry is high appeared a Security industry, Cloud computing industry, and Mobile office industry etc sequence. Third, The Smart work industry which an international technique power level is high appeared in a Smart e-learning industry, Mobile office industry, and Security industry etc sequence. Lastly, An Smart work industry which the concentration supports in the government dimension Security industry, Cloud computing industry, Smart work user SW industry, and Smart e-learning industry etc sequence. This research products will use for there even though it prepares a concentration support industry in the government dimension an activation policy.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.1
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• pp.615-621
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• 2016

The selection of a flagship industry is based on whether the industry's developmental impact is great and whether the industry can be the center of the national economy. Here, a ripple effect may be derived by analyzing the forward and backward linkage effects, but in the case of industries that are the centerpieces of the national economy, each researcher reported different results. Consequently, they could not agree on their flagship industry despite belonging to the same time. This study presents a prestige centrality of network analysis as a way of analyzing an industry, which was the center of the national economy, and performed empirical analysis utilizing the 2013 I-O Table. The analysis showed that the industries classified as those with high centrality include the energy industry, which is essential for economic development, can create a synergy effect with other industries, such as the transportation industry, industries with a high level of export and employment, such as electronics and chemicals, and industries for domestic demand, such as wholesale and retail, food services and accommodation.

• International Commerce and Information Review
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• v.12 no.1
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• pp.225-250
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• 2010

The purpose of this study is to grasp the ripple effect of food industry, which is rising as the prominent industry of the future and has a high forward & backward ripple effect, on domestic economy and other industries through Industrial Input-Output Analysis and suggest the export connection method for the development of food industry in the future. As an analysis result, it was found that the effect on product inducement and employment inducement was very high. Like that, it is necessary to establish export connection strategy to escape from narrow domestic market and advance into world market in order to develop food industry, which has a high ripple effect on domestic market. For the export connection of food industry, it is possible to enlarge overseas market demand of domestic food industry by providing domestic food companies with export-concerned information such as overseas export market information and food market information, advertising world market for domestic food industry actively through the globalization of Korea food, securing food processing technology, removing export unavailability risk through the export insurance policy and advertizing the safety of food industry through the reinforcement of food safety control standard and penalty standard.

• Journal of Convergence for Information Technology
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• v.12 no.3
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• pp.85-107
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• 2022

This study is to analyze the induced effect, network connectivity, and network visualization of the water transportation industry on the overall economy in relation to all industries. For this, various inducement coefficients of the water transportation industry are analyzed using industry linkage analysis and unit structure matrix, and network visualization analysis is performed using network connectivity and NetDraw using Ucinet 6 that utilizes unit structure matrix and inverse matrix function. As a result of the study, analysis results of input coefficient, production inducement coefficient, value-added inducement coefficient, and inter-industry chain effect were presented as various inducement coefficients in the water transportation industry. content was presented. Through this study, the current position and status of the water transportation industry and its relationship with all industries were confirmed, and the strategic relationship with which industries it should be presented was presented. In the future, it is necessary to further analyze the current status and trends of various induced effects, connectivity (centrality), and network visualization analysis using industry-related analysis published since the 2000s.

• Journal of Technology Innovation
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• v.18 no.2
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• pp.121-145
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• 2010

This study relates to measure impact of green technology on industry sector by uses of industry greening indices. For this study, we performed patent trend analysis, technology-industry concordance analysis, and designed some industry greening indices. Through the results of this research, we found out the impact of Korean high priority green technologies on respective industries, and consequently identified which industries play an important role in the era of green innovation. IT related industries would catch somewhat weak attention in green technology policy, though they manufacture and use plenty of patents at present. Meanwhile, Energy related industry, such as battery industry would catch strong attention in green innovation, showed very high value of industry greening indices. In order to design proper R&D strategy for green technologies, understanding industry and market structure that can adapt and promote green technology innovation is important. In this context, this study could be an effective and systematic tool for assisting green innovation policy. Also, these indices developed are not limited to the case of green technology, other technologies can be used universally as a input for analysis.

• Food Science and Industry
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• v.55 no.1
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• pp.2-22
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• 2022

Near-infrared spectroscopy (NIRS) is one of the representative non-destructive and eco-friendly analysis methods used for rapid analysis of various ingredients in the food industry. To develop analysis model with NIRS, Chemometrics are applied after pre-treatment of spectrum. Many studies have been reviewed on the analysis of general and functional components for agricultural and livestock products. In the case of livestock products, some studies have been conducted for on-line analysis. This study investigated results on various samples and component applying near-infrared spectroscopy. Furthermore, the results according to sample condition were compared. It was confirmed that NIRS is applied to various fields in the food industry.