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Satisfaction of Industry Research for the College (전문대학에 대한 산업체 만족도)

  • Hong, Young-Ho;Park, Jin-Hong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.9
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    • pp.3967-3974
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    • 2011
  • In this study, the college's curriculum and industry satisfaction with graduates were investigated. As a result, the college education of the consumer's feedback to an education as the basis for the survey was conducted. To this end, a survey of industry conducted and analyzed a result. Questions of the survey are as follows: Foundation for industrial research, the recruitment of new employees, research on skills, basic research on curriculum, and skills related to satisfaction surveys were conducted. According to survey results the average period of employment in manufacturing. Research and development, and public officials, and management in the area has served more than three years. Distribution and service the tourism sector, mainly two years. The major practical difficulty in working theory of scarcity and insufficient foreign language skills, and inter personal relationship. Working in a variety of school curriculum and an emphasis on training relevant and practical by developing a training curriculum and the majors, colleges will improve for the satisfaction.

In vitro Antioxidant Activity of the Aqueous of Angelicae gigas Nakai Leaves (당귀 잎의 항산화 활성)

  • Park, Sung-Jin;Yoon, Jung-Han;Kim, Young-Eon;Yoon, Won-Byong;Kim, Jong-Dai
    • Food Science and Preservation
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    • v.18 no.6
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    • pp.817-823
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    • 2011
  • Angelicae gigas Nakai has been used as a traditional medicine as well as an edible vegetable in South Korea. In this study, the total phenolic and flavonoid content and antioxidants of A. gigas Nakai leaves were examined in vitro via hydroxyl-radical-scavenging activity, reducing power activity, metal chelating assay, and DPPH-free -radical-scavenging assay. Among all the extracts from A. gigas Nakai leaves, the ethanol extract showed the strongest effects in all of the assays. The $EC_{50}$ values for the DPPH-radical-scavenging activities of ethanol, methanol, and water extracts were 31.47, 42.14, and $58.47{\mu}g/mL$, respectively. Among the extracts from A. gigas Kakai leaves, the ethanol extract had the highest levels of total phenolics ($7.84{\pm}1.46$ mg TAN/g) and total flavonoids ($4.23{\pm}0.03$ mg QE/g), which correlated strongly with the individual phenolic-compound (p-hydroxybenzoic acid, vanillin, and trans-ferulic acid) contents. The ethanol extract also showed stronger antioxidant activity than tocopherol in hydroxyl- radical-scavenging activity assay. These results indicate that the ethanol extract of A. gigas Kakai leaves possesses significant antioxidant properties, which suggests its great potential as a functional-food ingredient in the food industry.

Increasing Profitability of the Halal Cosmetics Industry using Configuration Modelling based on Indonesian and Malaysian Markets

  • Dalir, Sara;Olya, Hossein GT;Al-Ansi, Amr;Rahim, Alina Abdul;Lee, Hee-Yul
    • Journal of Korea Trade
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    • v.24 no.8
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    • pp.81-100
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    • 2020
  • Purpose - Based on complexity theory, this study develops a configurational model to predict the profitability of Halal cosmetics firms in the Indonesian and Malaysian markets. The proposed research model involves two level configurations-industry context and selling strategies-to predict high and low scores of a firm's profitability. The industry context configuration model comprises industry stability, product homogeneity, price sensitivity, and switching cost. Selling strategies include customer-focused, competitor-focused, and margin-focused approaches. Design/methodology - This is the first empirical study that calculates causal models using a combination of industry context and selling strategy factors to predict profitability. Data obtained from the marketing managers of cosmetics firms are used to test the proposed configurational model using fuzzy-set qualitative comparative analysis (fsQCA). It contributes to the current knowledge of business marketing by identifying the factors necessary to achieve profitability using analysis of condition (ANC). Findings - The results revealed that unique and distinct models explain the conditions for high and low profitability in the Indonesian and Malaysian halal cosmetic markets. While customer-focused selling strategy is necessary to attain a higher profit in both the markets, margin-focused selling strategy appears to be an essential factor only in Malaysia. Complexity of the interactions of selling strategies with industry factors and differences between across two study markets confirmed that complexity theory can support the research configurational model. The theoretical and practical implications are also illustrated. Originality/value - Despite the rapid growth of the global halal industry, there is little knowledge about the halal cosmetic market. This study contributes to the current literature of the halal market by performing a set of asymmetric analytical approaches using a complex theoretical model. It also deepens our understating of how the Korean firms can approach the Muslim consumer's needs to generate more beneficial turnover/revenue.

Cytokine modulation in Raw 264.7 macrophages treated with ginseng fermented by Penibacillus MBT213

  • Son, Ji Yoon;Renchinkhand, Gereltuya;Bae, Hyoung Churl;Paik, Seung-Hee;Lee, Jo Yoon;Nam, Myoung Soo
    • Korean Journal of Agricultural Science
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    • v.45 no.4
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    • pp.769-777
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    • 2018
  • The fermentation of Panax ginseng yields many compounds including ginsenosides that have various biological functions. The objective of this study was to investigate the modulation of nitric oxide (NO), Interleukin (IL)-6 and tumor necrosis factor $(TNF)-{\alpha}$ in Raw 264.7 cells treated with ginseng fermented by Penibacillus MBT213. Nitric oxide production in the Raw 264.7 cells treated for 24 hours with fermented ginseng at 3, 7, and 14 days after the treatment decreased to 74, 43, and 36%, respectively, compared with the positive control. The production of IL-6 was inhibited in all the cells treated with fermented ginseng at 3, 7, and 14 days after the treatment except for the positive control. The $TNF-{\alpha}$ production in the Raw 264.7 cells treated with fermented ginseng for 6 hours at 3, 7, and 14 days after the treatment was about 40,000, 85,000 and 65,000 pg/mL, respectively. Moreover, the $TNF-{\alpha}$ production in the Raw 264.7 cells treated with fermented ginseng for 24 hours at 7 and 14 days after the treatment was about 160,000 and 180,000 pg/mL, respectively. However, $TNF-{\alpha}$ production was inhibited in the Raw 264.7 cells at 6 and 12 hours after the treatment with fermented ginseng. herefore, it was confirmed that the immunological activity of the Raw 264.7 macrophages was affected by the treatment with fermented ginseng. It was concluded that ginseng fermented by Paenibacillus MBT213 possesses a potential anti-inflammatory activity and could be used as an ingredient in functional foods and pharmaceutical products.

Identification of Strategic Fields for Developing Smart City in Busan Using Text Mining (텍스트 마이닝을 이용한 스마트 도시계획 수립을 위한 전략분야 도출연구: 부산 사례를 바탕으로)

  • Chae, Yoonsik;Lee, Sanghoon
    • Journal of Digital Convergence
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    • v.16 no.11
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    • pp.1-15
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    • 2018
  • The purpose of this study is to analyze bibliographic information of Busan and other cities' reports for urban development initiative and identify the strategic fields for future smart city plan. Text mining method is used in this study to extract keywords and identify the characteristics and patterns of information in urban development reports. As a result, in earlier stage, Busan city focused on service creation for industrial development but there are lack of discussions on the linkage of information systems with ICT technology. However, recent urban planning in Busan contained various contents related to integrated connections of infrastructure, ICT system, and operation management of city in the specific fields of traffic, tourism, welfare, port/logistics, culture/MICE. This results of study is expected to provide policy implications for planning the future urban initiatives of smart city development.

Design of Tourist Information System based on the Current Location using Merged Reality (MR을 이용한 현재 위치 기반 관광 안내 시스템 설계)

  • Cho, Kyoung-Woo;Jeon, Min-Ho;Oh, Chang-Heon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.10a
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    • pp.843-845
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    • 2016
  • Concomitant with development of AR(Augmented Reality) and VR(Virtual Reality), interest in location based games and augmented reality have increased and various services have been developed. Due to this, AR, VR, MR(Merged Reality) techniques are considered one of fourth industrial revolution techniques. Oculus Rift which is representative of VR technology, and HTC VIVE need separate controllers, and don't offer service such as receiving external video information when users are using devices. In the case of project Alloy, which is a MR device of Intel, this has advantages such as controlling devices through hand signals and facial expressions, and receiving external video information. In this paper, we propose tourist guide system based on current position using MR. This system makes economical tour possible by arranging tourist attraction information which is from current position of tourists in correct places through external video information using MR, location determination using GPS, tourism information search using wireless internet.

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A Study on Integrated Operation of School Bus in Suburbs (교외지역 통학버스 통합 운영 방안 연구)

  • Ko, Young Dae;Oh, Yonghui
    • Journal of Korean Society for Quality Management
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    • v.46 no.4
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    • pp.899-910
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    • 2018
  • Purpose: Generally, since the population density is lower in suburban areas, the distance to school is inevitably long. Therefore, schools in suburban areas often operate school buses to improve student welfare. However, since school buses are usually used only during going to and from school, the utilization rates are relatively low. Therefore, this study aims to establish integrated operation plan of public school bus covering all schools. Methods: It is necessary to decide which school buses will serve the specific demand node which want to go to certain school in order to design an integrated operation plan for school buses. Therefore, a mathematical model is developed for minimizing the total number of vehicles and the distance of transportation by reflecting the characteristics of school buses and students as constraints. To solve the proposed mathematical model, CPLEX, a commercial solver, is applied. Results: To validate and to confirm the proposed process, numerical example is designed with the comparison between before and after integrated operations of school buses in terms of total operation cost. The result shows that the integrated operation can lead the reduction of the number of school buses as well as the decreasing of the fuel cost. Conclusion: This study provides the quantitative method to perform the integrated operation of school buses in suburban areas. The optimal operation strategy is required because there are more complex decision-making elements considering the integrated operation. It is expected to apply this research result at real situation to expand this services based on an optimal operation.

Sentiment Analysis and Star Rating Prediction Based on Big Data Analysis of Online Reviews of Foreign Tourists Visiting Korea (방한 관광객의 온라인 리뷰에 대한 빅데이터 분석 기반의 감성분석 및 평점 예측모형)

  • Hong, Taeho
    • Knowledge Management Research
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    • v.23 no.1
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    • pp.187-201
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    • 2022
  • Online reviews written by tourists provide important information for the management and operation of the tourism industry. The star rating of online reviews is a simple quantitative evaluation of a product or service, but it is difficult to reflect the sincere attitude of tourists. There is also an issue; the star rating and review content are not matched. In this study, a star rating prediction model based on online review content was proposed to solve the discrepancy problem. We compared the differences in star ratings and sentiment by continent through sentiment analysis on tourist attractions and hotels written by foreign tourists who visited Korea. Variables were selected through TF-IDF vectorization and sentiment analysis results. Logit, artificial neural network, and SVM(Support Vector Machine) were used for the classification model, and artificial neural network and SVR(Support Vector regression) were applied for the rating prediction model. The online review rating prediction model proposed in this study could solve inconsistency problems and also could be applied even if when there is no star rating.

A Study on Zero Pay Image Recognition Using Big Data Analysis

  • Kim, Myung-He;Ryu, Ki-Hwan
    • International Journal of Internet, Broadcasting and Communication
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    • v.14 no.3
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    • pp.193-204
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    • 2022
  • The 2018 Seoul Zero Pay is a policy actively promoted by the government as an economic stimulus package for small business owners and the self-employed who are experiencing economic depression due to COVID-19. However, the controversy over the effectiveness of Zero Pay continues even after two years have passed since the implementation of the policy. Zero Pay is a joint QR code mobile payment service introduced by the government, Seoul city, financial companies, and private simple payment providers to reduce the burden of card merchant fees for small business owners and self-employed people who are experiencing economic difficulties due to the economic downturn., it was attempted in the direction of economic revitalization for the return of alleyways[1]. Therefore, this study intends to draw implications for improvement measures so that the ongoing zero-pay can be further activated and the economy can be settled normally. The analysis results of this study are as follows. First, it shows the effect of increasing the income of small business owners by inducing consumption in alleyways through the economic revitalization policy of Zero Pay. Second, the issuance and distribution of Zero Pay helps to revitalize the local economy and contribute to the establishment of a virtuous cycle system. Third, stable operation is being realized by the introduction of blockchain technology to the Zero Pay platform. In terms of academic significance, the direction of Zero Pay's policies and systems was able to identify changes in the use of Zero Pay through big data analysis. The implementation of the zero-pay policy is in its infancy, and there are limitations in factors for examining the consumer image perception of zero-pay as there are insufficient prior studies. Therefore, continuous follow-up research on Zero Pay should be conducted.

Impact of Internet Media Reports on the COVID-19 Pandemic in the Population Aged 20-35

  • Stytsyuk, Rita Yurievna;Panova, Alexandra Georgievna;Zenin, Sergey;Kvon, Daniil Andreevich;Gorokhova, Anna Evgenievna;Ulyanishchev, Pavel Viktorovich
    • International Journal of Computer Science & Network Security
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    • v.22 no.6
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    • pp.39-44
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    • 2022
  • The advent, course, and possible consequences of the COVID-19 pandemic are now the focus of global attention. From whichever side the geopolitical centers of influence might view it, the problem of the coronavirus concerns all world leaders and the representatives of all branches of science, especially physicians, economists, and politicians - virtually the entire population of the planet. The uniqueness of the COVID-19 phenomenon lies in the uncertainty of the problem itself, the peculiarities and specifics of the course of the biological processes in modern conditions, as well as the sharp confrontation of the main political players on the world stage. Based on an analysis of scientific research, the article describes the profile of the emotional concept of "anxiety" in Russian linguoculture. Through monitoring the headlines of Russian media reports in the "COVID-19" section of Google News and Mail News news aggregators dated August 4-6, 2021, the study establishes the quantitative and qualitative characteristics of the alarm-generating news products on coronavirus in the Russian segment of the Internet and interprets the specifics of media information about COVID-19. The level of mass media criticism in Russia is determined through a phone survey. It is concluded that coronavirus reports in online media conceptualize anxiety about the SARS virus and the COVID-19 disease as a complex cognitive structure. The media abuse the trick of "magic numbers" and emotionally expressive words in news headlines, which are perceived by mass information consumers first and typically uncritically.