• Title/Summary/Keyword: 산업대학교

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Antioxidant Activity of Jeolpyun Containing Chaenomeles sinensis Koehne Powder (모과분말을 첨가한 절편의 항산화활성)

  • Lee, Na Gyeom
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.413-419
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    • 2022
  • The recent various ingredients are used in the food industry. Among them the results of moisture content, Hunter color system, and antioxidant activity by making a section different Jeolpyun from the general Chaenomeles sinensis Koehne and Chaenomeles sinensis Koehne powder, which have a bitter and sour taste as follows. The moisture content of the Chaenomeles sinensis Koehne was 73.8% and the moisture content were Chaenomeles sinensis Koehne powder 10.2%. The fat content of Chaenomeles sinensis Koehne powder increased by 0.9% and the ash content also increased by 0.9%. As the result of the moisture content was reduced to 60.15~41.03% and values of Hunter color system, the L-values of the Chaenomeles sinensis Koehne powder Jeolpyeon significantly decreased(p<0.05). The a-values also significantly increased(p<0.05) and the b-values was the highest 35.94 for the 3 % Chaenomeles sinensis Koehne powder. There were significant Levels of total phenolics and TEAC found for the antioxidant activity of the jeolpyeon samples(1~7%) with Chaenomeles sinensis Koehne Powder added(p<0.05). We have the above results adding Chaenomeles sinensis Koehne powder to make a traditional rice cake will help to use it as basic data for making rice cakes with excellent antioxidant activity.

A Case Study of Untact Lecture on Albert Camus' La Peste using Big Data (빅데이터를 활용한 『페스트』(알베르 카뮈) 비대면 문학 강의 운영 사례 연구)

  • MIN, Jinyoung
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.4
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    • pp.59-65
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    • 2021
  • This is a case study on the use of Albert Camus' La Peste, which has gained its popularity in today's generation of post-COVID as well as the use of big data analysis tools for major and elective classes. First, we asked students majoring in French to compare the use of vocabulary and the number of appearances for characters using big data analysis, for about 400 pages of the original text. As a result, we were able to confirm a similar relationship between Camus' Absurdism and the vocabulary used within La Peste, in addition to noting the heavy frequency of resistant characters. Students in elective classes were asked to read the literature in a Korean-translated version to determine the frequency of vocabulary and characters' appearances. Students were able to strongly relate to La Peste due to its commonality between COVID and the plague in the literature. We also received high levels of class satisfaction regarding the use of big data analysis tools. The students showed a positive response both towards choosing La Peste as the work of literature and using big data, the main tool in the Fourth Industrial Evolution. We were able to identify good results even in a non-contact environment, as long as the literature does not rely on traditional methods but rather lectures to reflect current situations.

Production of manganese peroxidase from Pleurotus ostreatus using a rotary draft tube bioreactor (RTB) and characterization of its activity (회전식 통풍관 생물반응기 사용에 따른 느타리균의 manganese peroxidase 생산 및 특성)

  • Ha, Hyo-Cheol
    • Journal of Mushroom
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    • v.19 no.4
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    • pp.316-321
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    • 2021
  • Ligninolytic enzymes were produced by Pleurotus ostreatus No.42, cultivated in a new kind of bioreactor that has a rotating draft tube with a helical ribbon. Maximum laccase (Lac) production (about 8,200 U/bioreactor) was reached after 3 days of incubation, then production decreased. Production of manganese peroxidase (MnP) in this fermenter reached a maximum level of about 8,400 U/bioreactor after 6 days of incubation. Lignin peroxidase (LiP) was not detected under these growth conditions. These results indicate that the rotary draft tube bioreactor (RTB) is compatible with large scale production of ligninolytic enzymes. MnP produced under these fermentation conditions was purified via a multistep process that included chromatography on Sepharose CL-6B, prep grade Superdex 75, and Mono-Q. This major isoenzyme was confirmed to have an apparent molecular weight of 36,400 by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE), and its isoelectric point (IEF) was determined to be 3.95. N-terminal sequencing of the major isoenzyme from this fermentation was identical to that reported for an MnP3 isoenzyme isolated under different cultivation conditions, including stationary and shaking culture.

Big Data Management in Structured Storage Based on Fintech Models for IoMT using Machine Learning Techniques (기계학습법을 이용한 IoMT 핀테크 모델을 기반으로 한 구조화 스토리지에서의 빅데이터 관리 연구)

  • Kim, Kyung-Sil
    • Advanced Industrial SCIence
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    • v.1 no.1
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    • pp.7-15
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    • 2022
  • To adopt the development in the medical scenario IoT developed towards the advancement with the processing of a large amount of medical data defined as an Internet of Medical Things (IoMT). The vast range of collected medical data is stored in the cloud in the structured manner to process the collected healthcare data. However, it is difficult to handle the huge volume of the healthcare data so it is necessary to develop an appropriate scheme for the healthcare structured data. In this paper, a machine learning mode for processing the structured heath care data collected from the IoMT is suggested. To process the vast range of healthcare data, this paper proposed an MTGPLSTM model for the processing of the medical data. The proposed model integrates the linear regression model for the processing of healthcare information. With the developed model outlier model is implemented based on the FinTech model for the evaluation and prediction of the COVID-19 healthcare dataset collected from the IoMT. The proposed MTGPLSTM model comprises of the regression model to predict and evaluate the planning scheme for the prevention of the infection spreading. The developed model performance is evaluated based on the consideration of the different classifiers such as LR, SVR, RFR, LSTM and the proposed MTGPLSTM model and the different size of data as 1GB, 2GB and 3GB is mainly concerned. The comparative analysis expressed that the proposed MTGPLSTM model achieves ~4% reduced MAPE and RMSE value for the worldwide data; in case of china minimal MAPE value of 0.97 is achieved which is ~ 6% minimal than the existing classifier leads.

The effect of satisfaction with the educational environment on the achievement level in outreach program for coffee barista and baking (찾아가는 커피 바리스타 및 제과제빵 프로그램에서 교육 환경에 대한 만족도가 학습향상 수준에 미치는 영향)

  • Lee, Sung On;Yun, Gyuwon
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.185-190
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    • 2022
  • The purpose of this study is to verify the effect of learners' satisfaction with the educational environment on the achievement level in the outreach coffee barista and bakery lifelong education program. The results of this study conducted over 10 sessions for learners living in Y city are as follows. Firstly, the satisfaction with the instructor was the highest, the satisfaction with the program content was the next, and the satisfaction with the program environment was the lowest. Secondly, as a result of analysis through pre-post evaluation, it was found that there was a significant level of improvement in learning effect. Thirdly, as a result of analyzing the effect on the achievement level, it was found that satisfaction with the instructor had a significant effect on the level of knowledge, and satisfaction with the content of the program had a significant effect on the level of attitude. However, satisfaction with the program environment was found to have no significant effect in all areas of knowledge, skill, and attitude. In conclusion, even if the educational environmental factors are poor in the outreach coffee barista and bakery programs, high satisfaction with the instructor and the content of the program can have a significant learning achievement. With this study, it is hoped that the outreach coffee barista and bakery education program will be further activated.

Keyword Analysis of Research on Consumption of Children and Adolescents Using Text Mining (텍스트마이닝을 활용한 아동, 청소년 대상 소비관련 연구 키워드 분석)

  • Jin, Hyun-Jeong
    • Journal of Korean Home Economics Education Association
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    • v.33 no.4
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    • pp.1-13
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    • 2021
  • The purpose of this study is to identify trends and potential themes of research on consumption of children and adolescents for 20 years by analyzing keywords. The keywords of 869 studies on consumption of children and adolescents published in journals listed in Korean Citation Index were analyzed using text mining techniques. The most frequent keywords were found in the order of youth, youth consumers, consumer education, conspicuous consumption, consumption behavior, and character. As a result of analyzing the frequency of keywords by dividing into five-year periods, it was confirmed that the frequency of consumer education was significantly higher betwn 2006 and 2010. Research on ethical consumption has been active since 2011, and research has been conducted on various topics instead of without a prominent keyword during the most recent 5-year period. Looking at the keywords based on the TF-IDF, the keywords related to the environment and the Internet were the main keywords between 2001 and 2005. From 2006 to 2010, the TF-IDF values of media use, advertisement education, and Internet items were high. From 2011 to 2015, fair trade, green growth, green consumption, North Korean defector youths, social media, and from 2016 to 2020, text mining, sustainable development education, maker education, and the 2015 revised curriculum appeared as important themes. As a result of topic modeling, eight topics were derived: consumer education, mass media/peer culture, rational consumption, Hallyu/cultural industry, consumer competency, economic education, teaching and learning method, and eco-friendly/ethical consumption. As a result of network analysis, it was found that conspicuous consumption and consumer education are important topics in consumption research of children and adolescents.

A Case Study on the Application of AI-OCR for Data Transformation of Paper Records (종이기록 데이터화를 위한 AI-OCR 적용 사례연구)

  • Ahn, Sejin;Hwang, Hyunho;Yim, Jin Hee
    • Journal of the Korean Society for information Management
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    • v.39 no.3
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    • pp.165-193
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    • 2022
  • It can be said that digital technology is at the center of the change in the modern work environment. In particular, in general public institutions that prove their work with records produced by business management systems and document production systems, the record management system is also the work environment itself. Gimpo City applied for the 2021 public cloud leading project of the National Information Society Agency (NIA) to proactively respond to the 4th industrial revolution technology era and implemented a public cloud-based AI-OCR technology enhancement project with 330 million won in support of 330 million won. Through this, it was converted into data beyond the limitations of non-electronic records limited to search and image viewing that depend on standardized index values. In addition, a 98% recognition rate was realized by applying a new technology called AI-OCR. Since digital technology has been used to improve work efficiency, productivity, development cost, and record management service levels of internal and external users, we would like to share the direction of enhancing expertise in the record management and implementation of work environment innovation.

The Effect of COVID-19 Perceived Risk on Railway Customer Experience (COVID-19 위험지각이 철도서비스 고객경험에 미치는영향)

  • Kim, Jiyoung
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.5
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    • pp.369-375
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    • 2022
  • Due to the so-called COVID-19 pandemic, railway service management has also faced an unprecedented situation over the past. This study conducted a survey of customers using high-speed railways during the COVID-19 pandemic to explore the impact of infectious diseases on the railway service customer experience. As a result, customer satisfaction and loyalty increase as customers are more aware of the quarantine-related services provided by railway operators. The moderating role of customer's COVID-19 risk perception was examined as well because there are individual differences in the level of thinking dangerously about Covid-19. As a result, the perceived level of the service's quarantine-related services has a significant impact on customer satisfaction when the customer's risk perception of Covid-19 is at an appropriate level, but its impact is relatively weak when the customer's risk perception is significantly high. Eventually, only the complete extinction of COVID-19 risk will bring a complete recovery to the service industry. Nevertheless, during the epidemic period, it was confirmed that the main service characteristics are that the service operator thoroughly conducts quarantine activities and faithfully communicates with customers.

Volatile Components of Essential Oils from Spices and It's Inhibitory Effects against Biofilm Formed by Food Poisoning Bacteria (향신료 정유의 휘발성 성분 및 식중독 세균에 의해 형성된 biofilm 억제 효과)

  • Kim, Hyeong-Eun;Kim, Yong-Suk
    • Journal of Food Hygiene and Safety
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    • v.37 no.4
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    • pp.285-295
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    • 2022
  • The ability of volatile components of essential oils (EO) from cinnamon, clove, and lemongrass to inhibit biofilms formed on polyethylene and stainless steel by six types of food poisoning bacteria was investigated. The main components of cinnamon EO were identified as cinnamaldehyde (38.30%), linalool (9.61%), β-caryophyllene (8.90%), and 1,3,4-eugenol (8.19%). 1,3,4-Eugenol (61.84%) was the dominant component of clove EO. The major component of lemongrass EO was citral. Citral is a natural mixture of two isomeric acyclic monoterpene aldehydes: geranial (trans-citral, 19.11%) and neral (cis-citral, 19.23%). Among these major compounds, cinnamaldehyde, linalool, eugenol, and citral exhibited comparatively strong antimicrobial activity in the disc diffusion assay. Treatments with 0.1% eugenol and citral were highly effective on biofilm inhibition on both tested surfaces. Cinnamaldehyde (0.1%) was effective against biofilm formation by Listeria monocytogenes ATCC 19112 and Staphylococcus aureus KCCM 11812. These results suggested the potential of cinnamaldehyde, eugenol, and citral treatments in inhibiting the formation of biofilms by food poisoning bacteria.

Effect of CEOs' Characteristics on Digital Transformation and Corporate Performance: Focusing on RSN Co., Ltd (최고경영자의 특성이 디지털 전환과 기업성과에 미치는 영향: (주)RSN중심으로)

  • Park, Soohwang;Jang, Kyungbae
    • Journal of Internet of Things and Convergence
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    • v.8 no.3
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    • pp.11-20
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    • 2022
  • Corporations operate within long term strategy. The Chief Executive Officer (CEO) makes decisions and has responsibility for all executive activities which affects the corporate performance. If the CEO makes strategic choices through reasonable decision making, it could affect corporate performance and corporate's rise and fall. So the CEO's decision making is very important. As rapid change in the digital technology environment happened, through digital transition, corporations have been working on increasing corporate performance by practical and academic methods. However prior research was restricted to CEO's affect on organization, innovation or innovative activities and there is a lack of research linking CEO's characteristics to digital transition and corporate performance. As the digital age is coming, research on how CEO's characteristics affect digital transition and corporate performance is direly needed. From the case of domestic Big Data corporation RSN Co. ltd's digital transition success, understanding characteristics of CEO, digital transition and corporate performance through prior researches, and developing research model and research proposition was set. Research was performed on RSN co. ltd's case analysis, and how characteristics of CEO's matter on digital transformation and corporate performance. As a result of the proposition, when the CEO conjugates digital technology, the corporation was able to successfully complete digital transition and it also affects corporate performance. Also, this research's other point is that CEO's may have limits on thoughtful decision making. It is judged that it is necessary to try an empirical study in the future.