• Journal of Food Hygiene and Safety
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• v.31 no.3
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• pp.176-185
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• 2016

This study was performed to investigate elementary school children's awareness on children's favorite foods and their consumption behavior of the foods. This study also focused on the association between the variables and gender/grade. We conducted a cross-sectional survey with direct interview among three hundreds and six elementary school children (188 boys and 118 girls) from 13 schools of a city of Korea, using a structured questionnaire. Among the overall proportion, more than 20% of the respondents did not know children's favorite foods and/or have no information source on the foods. More than 60% of the respondents consumed children's favorite foods more than 1 to 2 times a week. Only 16% respondents got information on children's favorite foods at home and 37% at school. There were significant correlations (p < 0.05) between gender/grades and knowledge/route of information on children's favorite foods. Boys had more knowledge than girls (p < 0.05), however they showed worse attitude on children's favorite foods and consumed more the foods. The higher grade children had more knowledge, better attitude and various routes of information on children's favorite foods (p < 0.05), but consumed more the foods. The results of this study indicate that there is a discrepancy between knowledge and attitude/behavior. This study also indicate that school food-service program and food hygiene/safety education in school and at home should be improved. Strong implementation of laws for regulation of selling adulterated food around elementary school may be another step in controlling consumption of the food by school children.

• Journal of Food Hygiene and Safety
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• v.26 no.2
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• pp.154-159
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• 2011

Inadequate food handling and poor hand hygiene playa major role in the occurrence of foodborne diseases. The objective of this study was to find out if the level of microbial contamination on the hands of food preparers varies by time during their working period. This study focused on the contamination of aerobic plate count, total and fecal coliforms, Escherichia coli, Staphylococcus aureus, and Salmonella spp. Sampling from left hand and right hand of twenty food preparers was done with glove-juice method at every two hours during their work. Microbiological testing was conducted according to the Food Code of Korea. The microbiological load on the hands was changed over time. Samples taken from their hands before work and at 8 hours showed higher levels of bacteria than those taken at 2, 4, and 6 hours during work and/or after work (p < 0.05). The contamination levels of microorganisms were consistently higher in right hand than in left hand. Poor hand hygiene practices were indicated by the positive results for total and fecal coli forms, E. coli, S. aureus, and Salmonella spp. on the hands of some food preparers. This study indicates food preparers' hands can be a vehicle of pathogen during their work. The results of this study emphasize the importance of hand hygiene education and training targeting the food preparers.

• Journal of Food Hygiene and Safety
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• v.25 no.2
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• pp.133-142
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• 2010

This study was performed to investigate awareness of hand washing, hand washing behavior, and the levels of indicator microorganisms on hands of food handlers who work in the food court and cafeteria of a university campus. The three methods used were questionnaire survey by interview, direct observation in restrooms, and microbiological examination according to the Food Code of Korea. A positive attitude toward hand washing compliance was reported by the responded food handlers; however, improper hand washing and poor hand hygiene of the food handlers were recognized by the unnoticed direct observation. Significant differences were found between the questionnaire survey and the direct observation (p < 0.05) in hand washing compliance after using the toilet, duration of hand washing, use of hand washing agent, washing different parts of the hands, hand-drying method, temperature of water, and method of turning off the water. Samples taken from their hands before work showed higher level of standard plate count, total and fecal coliforms, and Escherichia coli than those taken after washing with water. After washing hands with antiseptic liquid soap, the bacterial populations including Staphylococcus aureus on hands were dramatically reduced. This study indicates that there is a remarkable difference between the food handlers' awareness of hand washing and their hand washing behavior. Poor hand washing compliance and hand hygiene were indicated by the positive results of total and fecal coliforms, E. coli, and S. aureus on hands of some food handlers. The findings of this study suggest that the hand hygiene of the food handlers need to be improved. More training/education on hand washing and hand hygiene of the food handlers should be necessary.

• Journal of Digital Convergence
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• v.13 no.2
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• pp.193-204
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• 2015

An array DBMS has been expected widely from scientists because it is convenient to store and analyze the data of array type. In this paper, we describe how to handle satellite remote-sensing images in the array DBMS. However, previous works in their visualization have two problems as follows. First, the images are visualized as a state of distorted by the curvature of the earth. Second, it is difficult to apply the results of visualization by pre-written queries to other analyses. Therefore, this paper proposes a three dimensional visualization method of satellite remote-sensing images, not traditional 2D visualization. Our research contents are as follows. First, we describe how to store, process, and analyze the satellite remote-sensing images in the array DBMS. Second, we propose a three-dimensional visualization method for their processed outputs. Lastly, our contributions can be summarized that we propose a method of handling satellite remote-sensing images in the array DBMS and their 3D visualization techniques. It is also expected that their use be available widely in many industrial areas.

• Journal of the Korean Society of Safety
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• v.22 no.6
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• pp.91-97
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• 2007

A survey of risk perception in Korea was conducted in 2001 with a special emphasis on industrial and technological risks. This article summarizes the characteristics of risk perception in consideration of socio-demographic background of respondents. The survey with sample size of 1,870 evaluates the perceived level of 25 risk items in the areas of transportation, chemicals, environment, industry, and nuclear power generation. Risks are categorized by using factor analysis to clarify attitudinal or behavioral properties of risk perception. Research findings show that the level of perceived risk does not correspond to the statistical level. Socio-demographic variables are significant predictors in explaining risk perception, or the discrepancies between "subjective" and "objective" risks. Effective risk communication can reduce the perceptional discrepancies, improve the awareness of technological risks, and ultimately facilitate the process of making and implementing policies for risk management and safety regulation. This article tries to provides policy guidelines for "Who is the target for risk communication" and "Which risk has the policy priority for safety improvement." Married females at the age of 30s and 40s with lower education and lower income in small cities are more vulnerable to risk misperception than other groups. More information and knowledge regarding unfamiliar, intangible, new technological risks should be delivered to the vulnerable groups for reducing perceptional bias. Society-wide safety can be improved by integrating policy, human, and social factors as well as techno-engineering advances.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.28 no.1
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• pp.108-116
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• 2018

Objectives: This study investigated to the analytical work environment, analyst's expert and status of analytical instrument in the designated organization's laboratory for measuring work environment, and carried out to ensure reliability of analytical results. Methods: This study was conducted by 114 analysts who work in designated organization's laboratory for measuring work environment. Information on the working environment and personal characteristics of the analysts were collected using a self-reported questionnaire and were analyzed using the SPSS program through analysis of frequency and t-test. Results: The speciality of subjects was occupational health(57.0%), environmental health(38.6%) and environmental engineering(4.4%), and they had a higher level of academic ability than workers in other industries. Analysts had to handle a large number of sample analysis and many tasks other than analytical work. The analysts answered that it was difficult to analyze organic substances than inorganic substances, and the difficult parts were the analytical methods setting of new substances(55.3%), instrument analysis(24.6%) and principle of analysis(23.7%). Analytical instruments mainly have legally required instruments. The difficulty of the analysis is solved from the senior analyst in the laboratory and analytical information is mainly exchanged through seminar organized by the Association of Occupational Health Analysts. The analysts who are planning to move or considering the company were 48.2%, and the reasons for moving the company were difficult to work(14.0%), low salary(9.6%), employment type(8.8%) and job stress(7.0%). Conclusions: The conclusions of our study were that it was possible to secure reliability by solving the problems such as implementing professional education to improve expertise of analysts, strengthening analytical instruments through institutional improvement and improving work environment.

• Industry Promotion Research
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• v.6 no.4
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• pp.31-38
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• 2021

This study analyzed the non-cognitive domains (self-management competency, interpersonal relations competency) and cognitive domains (physical communication competency, comprehensive reasoning ability) among K-CESA for college students in the Division of Architecture at 𐩒𐩒 University and construction company workers, after which a training program for college students was designed. A K-CESA diagnostic evaluation was conducted on 25 construction company workers and 36 students in the senior and junior years of the division of Architecture. To identify the discrepancies among the two groups, "One-way ANOVA", a mean difference test, was performed and the Scheffe verification system was conducted as an after-measure. The empirical analysis of this study was verified at the significance level p <.05, and statistical processing was analyzed utilizing the SPSS WIN. 23.0 program. The major findings are as follows: first, the significant point of difference between the college students and construction company workers were located in five skills (goal-oriented planning and execution skills, cooperative skills, intervention skills, leadership skills, speaking skills, analytical reasoning skills); second, the education program was developed to improve the goal-oriented planning, execution ability and analytical reasoning ability through the expert-required analysis and study research. Through follow-up studies, I suggested that there is a need to develop courses that compare the competencies of various majors and workers in public institutions, corporations and other organizations.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.3
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• pp.141-156
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• 2023

Due to the unprecedented worldwide pandemic of the new Covid-19 infection, business trends of companies have changed significantly. Therefore, it is strongly required to monitor the rapid changes of innovation trends to design and plan future businesses. Since the pandemic, many studies have attempted to analyze business changes, but they are limited to specific industries and are insufficient in terms of data objectivity. In response, this study aims to analyze business trends after Covid-19 using Crunchbase, a global startup data. The data is collected and preprocessed every two years from 2018 to 2021 to compare the business trends. To capture the major trends, a network analysis is conducted for the industry groups and industry information based on the co-occurrence. To analyze the minor trends, LDA-based topic modelling and word2vec-based clustering is used. As a result, e-commerce, education, delivery, game and entertainment industries are promising based on their technological advances, showing extension and diversification of industry boundaries as well as digitalization and servitization of business contents. This study is expected to help venture capitalists and entrepreneurs to understand the rapid changes under the impact of Covid-19 and to make right decisions for the future.

• Journal of the Society of Disaster Information
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• v.20 no.1
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• pp.106-116
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• 2024

Purpose: This paper conducts IoT and CCTV-based safety monitoring to analyze accidents and potential risks occurring at construction sites, and detect and analyze risks such as falls and collisions or abnormalities and to establish a system for early warning using devices like a walkie-talkie and chatbot service. Method: A safety management service model is presented through smart construction technology case studies at the construction site and review a relevant literature analysis. Result: According to 'Construction Accident Statistics,' in 2021, there were 26,888 casualties in the construction industry, accounting for 26.3% of all reported accidents. Fatalities in construction-related accidents amounted to 417 individuals, representing 50.5% of all industrial accident-related deaths. This study suggests implementing AI chatbot services for construction site safety management utilizing IoT-based health monitoring technologies in smart construction practices. Construction sites where stakeholders such as workers participate were demonstrated by implementing an artificial intelligence chatbot system by selecting major risk areas within the workplace, such as scaffolding processes, openings, and access to hazardous machinery. Conclusion: The possibility of commercialization was confirmed by receiving more than 90 points in the satisfaction survey of participating workers regarding the empirical results of the artificial intelligence chatbot service at construction sites.

• The Journal of the Convergence on Culture Technology
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• v.10 no.6
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• pp.99-108
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• 2024

The demand to provide students with opportunities to find such competencies in university education has become a reality at a time when there is an urgent need to cultivate talented people suitable for the era of the 4th industrial revolution. Therefore, this study established the definition of a research performance-based class, constructed a teaching-learning design model to develop practical research performance capabilities required for university students, and analyzed it by applying it to the classes that are actually open. The developed research performance-based instructional model was constructed by applying it to the curriculum of S University's major and liberal arts subjects, and it was conducted as a research performance-based curriculum in which practical research performance topics for major-related research performance were selected along with major knowledge cultivation, and the results were obtained based on the performance results after solving the problem. In addition to acquiring basic research methodology through research performance-based classes, practical research performance problems are set to derive results. The basic research methodology allowed students to acquire essential resolutions in a research environment such as scientific inquiry methods, research notebook writing methods, thesis writing methods, academic conferences, and understanding patents. As a result of applying it to the class, a representative model of research-based self-directed classes at universities was presented by enhancing learners' self-esteem and obtaining visible research results (technology transfer, academic thesis registration, academic presentation award, patent registration, and academic UCC competition award).