• 제목/요약/키워드: content-based summary

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신품종 이슬송이 버섯(Lentinula edodes GNA01)의 온도별 저장에 따른 품질 변화 (Changes in the Quality of New Cultivar Dewdrop Pine Mushroom (Lentinula edodes GNA01) Depending on the Storage Temperature)

  • 최덕주;이윤정;최소례;윤예리
    • 한국식품조리과학회지
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    • 제32권5호
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    • pp.585-592
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    • 2016
  • Purpose: The purpose of this study was to investigate the quality characteristics and antioxidant activity on consequent storage based on the temperature of new cultivar dew-drop pine mushroom (Lentinula edodes GNA01). Methods: Dewdrop Pine Mushroom were prepared under different storeage temperature (4, 10, $20^{\circ}C$). Results: Weight loss and hardness showed the least reduction rate when it was stored at $4^{\circ}C$ (p<0.05). The color value changed to dark brown at all storage temperatures during the storage period. When it was stored at $4^{\circ}C$, it maintained its initial color for a longer period than at different storage temperatures. With respect to the change in its viable cell count, the cells proliferated to less than 3.0 log CFU/g up to Ed: Please review the change. The earlier part was difficult to understand 2.83 log CFU/g until 15 days of storage at $4^{\circ}C$. On measuring the antioxidant activity of this mushroom, the polyphenol content was maintained without a large change until 9 days of storage at $4^{\circ}C$. The electron-donating action maintained high antioxidant activity, accounting for 81.99% until 12 days of storage from 83.08% during the initial storage at $4^{\circ}C$. When it was stored at $4^{\circ}C$, the sensory characteristics received the highest score among all items, such as appeaance, color, flavor and general preference, etc. Concolusion: In summary, new Cultivar Dewdrop Pine Mushroom (Lentinula edodes GNA01) can maintain its commercial value until the 12th day of $4^{\circ}C$ storage.

2020년 전국한의과대학 기초한의학 및 기초의학 교육현황 조사 (A Survey on the Educational Status of Basic Korean Medicine and Basic Medical Science in Colleges of Korean Medicine in 2020)

  • 김미경;한창호
    • 대한한의학회지
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    • 제41권3호
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    • pp.98-124
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    • 2020
  • Objectives: This study was aimed to present a summary and analysis of a survey on the educational status of basic Korean medicine and basic medical science in colleges of Korean medicine nationwide. Methods: The data on the curriculum and weekly education plans were acquired in the first half of 2020. Data showing the educational status and contents of basic Korean medicine and basic medical science were extracted. Results: Most of the colleges were providing a subject-based education. All subjects of basic Korean medicine were included in the required courses for majors, and most of them appeared to have developed and been using common main textbooks and standardized educational contents. However, there were some subjects in which the education period was dispersed until the 3rd and 4th grades, or in which discussions to develop and use common textbooks and standardized educational content were required. Most of the subjects of basic medical science were also educated as required courses for majors, but there were some subjects with a low curriculum establishment rate, and these could be considered as areas to be reinforced first when reorganizing the curriculum. Conclusions: It is expected that the findings of this study would be a basis for exploring the ways to concrete changes that are desirable and also realistically feasible when reorganizing the curriculum of colleges of Korean medicine in the near future.

육하원칙 정보에 기반한 홈비디오 키프레임 추출 (Keyframe Extraction from Home Videos Using 5W and 1H Information)

  • 장철훈;조성현;이승용
    • 한국컴퓨터그래픽스학회논문지
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    • 제19권2호
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    • pp.9-18
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    • 2013
  • 본 논문에서는 육하원칙 정보를 기반으로 홈비디오에서 키프레임을 추출하는 방법을 제시한다. 키프레임 추출방법이란 비디오에서 중요하다고 생각되는 특정 프레임만을 선출하여 비디오를 요약하는 방법이다. 홈비디오의 경우 그 주제가 다양하여 특별한 가정을 통한 정보 추출이 어렵고, 주로 인물이 비디오의 중심이 되기 때문에 인물의 행동을 중심으로 요약을 수행하여야 한다. 본 논문에서는 인물의 얼굴, 인물의 행동, 전체 배경 정보를 분석하여 인물 중심의 보편적인 요약 기준인 육하원칙의 주요 정보를 추출한다. 추가적으로 비디오의 매 프레임의 블러 크기를 측정하여 이용함으로써 프레임별로 얼마나 많은 정보를 포함하고 있는지 측정하고, 가장 많은 정보를 포함한 프레임을 키프레임으로 선출한다. 사용자 실험을 통해 사용자가 홈비디오에서 여러 개의 키프레임을 선택할 경우, 기존의 방법보다 사용자의 선택과 유사함을 확인할 수 있다.

Profiling Patterns of Volatile Organic Compounds in Intact, Senescent, and Litter Red Pine (Pinus densiflora Sieb. et Zucc.) Needles in Winter

  • CHOI, Won-Sil;YANG, Seung-Ok;LEE, Ji-Hyun;CHOI, Eun-Ji;KIM, Yun-Hee;YANG, Jiyoon;PARK, Mi-Jin
    • Journal of the Korean Wood Science and Technology
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    • 제48권5호
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    • pp.591-607
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    • 2020
  • This study was aimed to investigate the changes of chemical composition of the volatile organic compounds (VOCs) emitted from red pine needles in the process of needle abscission or senescence. The VOCs in intact, senescent, and litter red pine needle samples were analyzed by headspace-solid phase microextraction gas chromatography-mass spectrometry (HS-SPME-GC/MS). And then, multivariate statistical interpretation of the processed data sets was conducted to investigate similarities and dissimilarities of the needle samples. Principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) were used to investigate the dataset structure and discrimination between samples, respectively. From the data preview, the levels of major components of VOCs from needles were not significantly different between needle samples. By PCA investigation, the data reduction according to classification based on the chlorophyll a / chlorophyll b (Ca/Cb) ratio were found to be ideal for differentiating intact, senescent, and litter needles. The following OPLS-DA taking Ca/Cb ratio as y-variables showed that needle samples were well grouped on score plot and had the significant discriminant compounds, respectively. Several compounds had significantly correlated with Ca/Cb ratio in a bivariate correlation analysis. Notably, the litter needles had a higher content of oxidized compounds than the intact needles. In summary, we found that chemical compositions of VOCs between intact, senescent, and litter needles are different each other and several compounds reflect characteristic of needle.

국내 인공지능 교육에 대한 연구 현황 분석 (Analysis of research status on domestic AI education)

  • 박민규;한규정;신수범
    • 정보교육학회논문지
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    • 제25권5호
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    • pp.683-690
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    • 2021
  • 본 연구는 인공지능 교육에 대한 연구 동향을 파악하는 것을 목적으로 2016년 이후 최근까지 발간된 '인공지능 교육'과 관련한 국내학술지논문 164건을 분석하였다. 논문 분석을 위한 준거는 연도별 논문수, 학술지명, 연구 주제, 연구 유형, 자료수집 방법, 연구 대상, 교과로 하였으며 주요 연구 분야와 추후 연구가 필요한 분야를 살펴보고자 하였다. 연구의 방법은 선정한 논문에 대해 주제와 요약을 중심으로 분석하되 불분명한 경우 본문을 확인하였다. 연구의 결과 '인공지능 교육'에 대한 연구는 2017년 이후 본격적으로 시작되었으며 최근 들어 급격하게 증가하는 경향을 보이고 있다. 분석결과 연구 주제에서는 인공지능 교육 프로그램과 콘텐츠 개발, 인공지능의 인식과 이미지에 대한 연구가 많은 편이었다. 연구의 유형에서는 양적연구가 많았고 자료수집 방법으로는 개발 연구 방식이 많이 사용되었다. 연구 대상에서는 초등학교가 비중이 높았으며 교과목에서는 인공지능 내용을 다루는 실과/기술 교과가 많은 것으로 나타났다.

Importance-Performance Analysis of Mountain Village Promotion Projects in the Forest Sector by Upper-Level Local Governments

  • Kang, Byung-Hoon;Kim, Seong-Hak;Chae, Jin-Hae
    • 인간식물환경학회지
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    • 제24권6호
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    • pp.707-718
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    • 2021
  • Background and objective: Due to the recent crisis of extinction in local areas, the mountain village promotion policy is recognized as an important task. This study examined the priorities of major policy projects in the forest sector that affect mountain village promotion. Methods: For research methods, literature search, expert advisory meetings, and a survey were conducted. The survey was conducted on 42 policy stakeholders from June 1 to August 13, 2021. The literature search was based on policy projects in the forest sector by 8 upper-level local governments including mountain villages. For questionnaire items, 173 forest policy projects were classified into 27 types through expert review, and the importance and performance of each type were rated on a 5-point Likert scale. Paired t-test, IPA, Locus for Focus model, and Borich needs assessment were used as the analysis methods, and the statistical program SPSS 21.0 was used as the analytical tool. Results: The results showed that 'creating forest-related jobs' and 'supporting cultivation of professional forestry workers' both showed high importance and performance, implying that they would show an effect in mountain village promotion. 'Creating forests for environmental improvement', 'discovering forest cultural assets' 'establishing and boosting forest tourism', 'providing forest therapy services', 'creating forest-related jobs', 'supporting community revitalization', and 'urban-rural exchanges' were found to be the types that needed improvement and concentration for mountain village promotion. In particular, 'creating forests for environmental improvement' and 'discovering forest cultural assets' were derived as priority considerations for mountain village promotion policies. Conclusion: In summary, it was found that in order to promote mountain villages, various content projects must be improved and carried out to enhance the physical environment and revitalize mountain villages.

Lycium barbarum Polysaccharide Inhibits Lipid Oxidation and Protein Degradation in Tan Sheep Meatballs during Frozen Storage

  • Yu, Jiangyong;Guo, Mei;Liu, Guishan;Zhang, Jingjing;Fan, Naiyun;Li, Xiaorui;Sun, Yourui;Yuan, Jiangtao;Huang, Rui
    • 한국축산식품학회지
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    • 제42권4호
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    • pp.580-592
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    • 2022
  • The aim of the present study was to evaluate the effectiveness of Lycium barbarum polysaccharide (LBP) on lipid oxidation and protein degradation in Tan sheep meatballs during the frozen period. The meatballs were treated with LBP at 0.01%, 0.02%, and 0.03% and stored at -18±1℃ for 0, 3, 6, 9, and 12 weeks. The effects of LBP treatment were investigated using the contents of total volatile basic nitrogen (TVB-N), texture profile (TP), thiobarbituric acid reactive substances (TBARS), colour, and pH values, compared with 0.02% butylated hydroxytoluene treatment and the blank control. The results showed that LBP treatment significantly decreased TBARS content compared with the control, which confirmed LBP to be a highly effective component in preventing lipid oxidation of Tan sheep meatballs during frozen storage, and protein degradation in Tan sheep meatballs had a significant inhibition effect because of TVB-N value reduction. In addition, the colour, TP and pH values of meatballs treated with LBP were improved dramatically. To further determine the quality changes of the blank control and all treated groups during storage, the comprehensive score evaluation equation based on principal component analysis was obtained: Y=0.51632Y1+0.29589Y2 (cumulative contribution rate=81.221%), and the 0.02% LBP-treated group had a higher comprehensive score than the other groups, and the quality of LBP-treated meatballs was better as well. In summary, LBP may reduce or inhibit lipid oxidation and protein degradation, and enhance overall quality and shelf-life in prepared meat products.

Inhibitory effect of natural extract mixtures on microbial growth and lipid oxidation of sausages during storage

  • Seung-Hye Woo;Jung-Min Sung;Heejin Park;Jake Kim;Yea-Ji Kim;Tae-Kyung Kim;Heeyoung Lee;Yun-Sang Choi
    • Journal of Animal Science and Technology
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    • 제65권1호
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    • pp.225-243
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    • 2023
  • Large amounts of additives are used during meat product processing to maintain product quality and shelf life. With the growing interest in healthy foods, natural plant-based additives are being used as alternatives to synthetic additives. In this study, six types of natural extracts with excellent antibacterial activity were selected, and their antibacterial and antioxidant activities against four types of pathogens were evaluated in various combinations. In addition, the pH, color, amount of thiobarbituric acid reactive substances (TBARS), and growth of pathogenic microorganisms were analyzed during the storage of sausages treated with various combinations of these extracts. The natural extract mixtures exhibited different antibacterial activities, depending on the combination. Compared to grapefruit seed extract, a mixture of natural extracts extracted with ethanol (M4) reduced the Escherichia coli content by more than 99.9% after 8 days of storage and slowed the growth of Listeria monocytogenes and Salmonella spp. by more than 80% after 14 days. Compared to untreated (NC) and grapefruit extract (PC)-treated sausages, sausages treated with the natural extract mixtures showed a significant decrease in CIE L* and an increase in CIE a* and CIE b* (p < 0.05). The pH value was significantly lower in sausages containing natural extract mixtures than in the NC and PC sausages (p < 0.05). The natural plant extract mixtures significantly prevented lipid oxidation (p < 0.05). In summary, different types of natural extract mixtures have a synergistic effect when used together, suggesting that natural preservatives can generally inhibit the growth of microorganisms and oxidation of processed meat.

국내 인공지능 교육에 대한 연구 현황 분석 (Analysis of research status on domestic AI education)

  • 박민규;한규정;신수범
    • 한국정보교육학회:학술대회논문집
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    • 한국정보교육학회 2021년도 학술논문집
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    • pp.69-76
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    • 2021
  • 본 연구는 인공지능 교육에 대한 연구 동향을 파악하는 것을 목적으로 2016년 이후 최근까지 발간된 '인공지능 교육'과 관련한 국내학술지논문 164건을 분석하였다. 논문 분석을 위한 준거는 연도별 논문수, 학술지명, 연구 주제, 연구 유형, 자료수집 방법, 연구 대상, 교과로 하였으며 주요 연구 분야와 추후 연구가 필요한 분야를 살펴보고자 하였다. 연구의 방법은 선정한 논문에 대해 주제와 요약을 중심으로 분석하되 불분명한 경우 본문을 확인하였다. 연구의 결과 '인공지능 교육'에 대한 연구는 2017년 이후 본격적으로 시작되었으며 최근 들어 급격하게 증가하는 경향을 보이고 있다. 분석결과 연구 주제에서는 인공지능 교육 프로그램과 콘텐츠 개발, 인공지능의 인식과 이미지에 대한 연구가 많은 편이었다. 연구의 유형에서는 양적연구가 많았고 자료수집 방법으로는 개발 연구 방식이 많이 사용되었다. 연구 대상에서는 초등학교가 비중이 높았으며 교과목에서는 인공지능 내용을 다루는 실과/기술 교과가 많은 것으로 나타났다.

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캐릭터 웹드라마 요약 분석을 통한 간접광고 제품 추천 시스템 개발 (Recommendation System Development of Indirect Advertising Product through Summary Analysis of Character Web Drama)

  • 이현수;김정이
    • 한국인터넷방송통신학회논문지
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    • 제23권6호
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    • pp.15-20
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    • 2023
  • 본 논문은 캐릭터 웹드라마에 적합한 간접광고 제품을 추천하는 인공지능(AI) 시스템 알고리즘 개발에 관한 연구이다. 본 연구는 웹드라마의 대사 작성에 있어 그에 어울리는 간접광고 제품을 추천함으로써 시청자의 콘텐츠 몰입도를 높이고, 드라마의 스토리를 보다 깊게 이해하는 데 도움을 주는 것을 목표로 한다. 본 연구에서는 자연어처리 모델 인 GPT를 활용하여 대사, 줄거리를 분석하고, 분석 결과를 바탕으로 소품형, 배경형 등 두 가지 유형의 간접광고 제품 추천 시스템을 개발한다. 이를 통해 웹드라마의 스토리에 부합하는 제품을 적절히 배치함으로써 간접광고가 자연스럽게 노출될 수 있도록 하고, 그로 인해 시청자들의 몰입도가 증가하며, 상품 홍보의 효과 또한 높인다. 숨겨진 뜻이나 문화적 뉘앙스를 완벽하게 이해하기 어려운 인공지능 모델의 한계와 학습에 필요한 충분한 데이터 확보가 어렵다는 한계가 있다. 그러나 본 연구는 AI가 창작물 제작에 어떻게 기여할 수 있는지에 대한 새로운 인사이트를 제공하고, 창의적 산업 분야에서 자연어 처리 모델의 활용 가능성을 넓히는 중요한 발판이 될 것이다.