• Title/Summary/Keyword: Core-collection

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Fifty Years of Scientific Ocean Drilling (1968-2018): Achievements and Future Direction of K-IODP (해양 과학시추 50년 (1968-2018): 한국의 성과 및 미래 방향)

  • KIM, GIL YOUNG
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.24 no.1
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    • pp.30-48
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    • 2019
  • The year 2018 is the $50^{th}$ anniversary of scientific ocean drilling. Nevertheless, we know more about the surface of the moon than the Earth's ocean floor. In other words, there are still no much informations about the Earth interior. Much of what we do know has come from the scientific ocean drilling, providing the systematic collection of core samples from the deep seabed. This revolutionary process began 50 years ago, when the drilling vessel Glomar Challenger sailed into the Gulf of Mexico on August 11, 1968 on the first expedition of the federally funded Deep Sea Drilling Project (DSDP). DSDP followed successively by Ocean Drilling Program (ODP), Integrated Ocean Drilling Program (old IODP), and International Ocean Discovery Program (new IODP). Concerning on the results of scientific ocean drilling, there are two technological innovations and various scientific research results. The one is a dynamic positioning system, enables the drilling vessel to stay fixed in place while drilling and recovering cores in the deep water. Another is the finding of re-entry cone to replace drill bit during the drilling. In addition to technological innovation, there are important scientific results such as confirmation of plate tectonics, reconstruction of earth's history, and finding of life within sediments. New IODP has begun in October, 2013 and will continue till 2023. IODP member countries are preparing for the IODP science plan beyond 2023 and future 50 years of scientific ocean drilling. We as IODP member also need to participate in keeping with the international trend.

Characterization of Isoflavones from Seed of Selected Soybean (Glycine max L.) Resources Using High-Resolution Mass Spectrometry (고해상도 질량 분석을 이용한 대두(Glycine max L.) 우수자원 종자의 이소플라본 특성 평가)

  • Lee, So-Jeong;Kim, Heon-Woong;Lee, Suji;Na, Hyemin;Kwon, Ryeong Ha;Kim, Ju Hyung;Yoon, Hyemyeong;Choi, Yu-Mi;Wee, Chi-Do;Yoo, Seon Mi;Lee, Sang Hoon
    • The Korean Journal of Food And Nutrition
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    • v.33 no.6
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    • pp.655-665
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    • 2020
  • In this study, chemical information on a total of 20 individual compounds was constructed to identify isoflavones from the previous reports related with used parts(seeds, leaves, stems, pods) and products of soybean(Glycine max L.). Through constructed library and UPLC-DAD-QToF/MS analysis, a total of 19 individual isoflavones including aglycones, glucosides, acetylglucosides and malonylglucosides as major compounds was identified and quantified from 14 selected soybean seeds. Among them, genistein 7-O-(2"-O-apiosyl)glucoside and genistein 7-O-(6"-O-apiosyl)glucoside(ambocin) were identified tentatively as novel compounds in soybean seeds. Besides, among malonylglucosides, glycitein 4'-O-(6"-O-malonyl)glucoside was estimated for the first time. Total isoflavone contents were distributed from 240.21 to 445.21(mg/100 g, dry matter) and 7-O-6"-O-malonylglucosides were composed of 77.8% on total isoflavone as well as genistein derivatives were confirmed as major class. It was considered importantly that the development of isoflavone-rich varieties was necessary to strengthen their effects such as anti-inflammation, anti-cancer and menopause mitigation. The qualitative and quantitative data presented precisely in this study could be help to select and breed isoflavone-rich varieties. Furthermore, their basic isoflavone profile is expected to be applied to estimate the change of isoflavone conjugates on bioavailability after soy food supplements.

Development and Effectiveness of Education Programs using STEAM-based Smart Apps that support Children's Free play (유아의 자유놀이를 지원하는 STEAM 기반 스마트 앱 활용 교육 프로그램 개발 및 효과)

  • Moon, Myunghwa
    • Journal of Convergence for Information Technology
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    • v.11 no.6
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    • pp.120-130
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    • 2021
  • This study was conducted for the purpose of developing an education program using smart apps that supports free play of children based on STEAM education and verifying its effectiveness. In order to achieve the purpose of the study, contents for using smart apps based on STEAM education for children's free play were derived through literature and data collection and field surveys in related fields, and a program was developed based on this. This program is a teaching strategy in which teachers and children interact at the start, middle, and end of free play using the 'Free Play' app installed on a smartphone. An experimental study was conducted to verify the effectiveness of the program using smart apps that support children's free play. As a result of the study, it was confirmed that the application of this program improves the self-regulation of children. This study is a teaching strategy to support both teachers and children during free play time, the core of early childhood education, and developed and applied the program with the idea of convergence of engineering and education, and hopes that it will be a starting point for revitalizing education using smart apps in the future education field.

A Study on the Grounded Theory on Conflict Experiences of Elderly Participants in a senior Employment Promotion Program : Focused on Creating an Aged-friendly Village (노인일자리 참여 노인의 갈등 경험에 관한 근거이론 연구 : 고령친화마을 만들기를 중심으로)

  • Lim, Byung-Woo
    • Journal of Industrial Convergence
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    • v.18 no.6
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    • pp.61-73
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    • 2020
  • The purpose of this study was to categorize conflict resolution by exploring the conflict experiences of the elderly who participate in jobs for the elderly to create an elderly-friendly village. This study applied grounded theory, a qualitative research method, For data collection, a FGI was conducted by sampling 5 elderly job participants in ◯◯-dong, ◯◯-gu, Seoul. The data were analyzed according to the paradigm model of Strauss & Corbin(1998). As a result of the analysis, causal conditions were social, economic, psychological and physical motivations for participation and contextual conditions were economic difficulties, social disconnection, and differences in life experiences influenced the initiation of conflict. The core phenomena were conflict initiated by 'the difference between experience and role' and 'the difference in psychosocial relationship skills', and the intervention condition were the activation of interpersonal relationships through communication to resolve the conflict, social integration through the use of capabilities, It appeared as a regular social activities. The interaction strategy emerged as a strategy for resolving conflict for senior citizen jobs through education, mutual support for building trust, and successful senior-friendly village program operation. The consequences, it was found that job conflicts for the elderly were alleviated by finding one's life, activating community exchanges, increasing a sense of achievement, and growing a sense of community. In conclusion, the conflict resolution types for senior citizens were classified into educational solution type, mutual support solution type, and success experience solution type.

Development of big data based Skin Care Information System SCIS for skin condition diagnosis and management

  • Kim, Hyung-Hoon;Cho, Jeong-Ran
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.3
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    • pp.137-147
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    • 2022
  • Diagnosis and management of skin condition is a very basic and important function in performing its role for workers in the beauty industry and cosmetics industry. For accurate skin condition diagnosis and management, it is necessary to understand the skin condition and needs of customers. In this paper, we developed SCIS, a big data-based skin care information system that supports skin condition diagnosis and management using social media big data for skin condition diagnosis and management. By using the developed system, it is possible to analyze and extract core information for skin condition diagnosis and management based on text information. The skin care information system SCIS developed in this paper consists of big data collection stage, text preprocessing stage, image preprocessing stage, and text word analysis stage. SCIS collected big data necessary for skin diagnosis and management, and extracted key words and topics from text information through simple frequency analysis, relative frequency analysis, co-occurrence analysis, and correlation analysis of key words. In addition, by analyzing the extracted key words and information and performing various visualization processes such as scatter plot, NetworkX, t-SNE, and clustering, it can be used efficiently in diagnosing and managing skin conditions.

A Study on the Development of Feasibility Evaluation Model for Establishment of Public Libraries (공공도서관 설립 사전 타당성 평가모형 개발 연구)

  • Sin-Young, Kim;Hee-Yoon, Yoon
    • Journal of the Korean Society for Library and Information Science
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    • v.56 no.4
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    • pp.101-127
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    • 2022
  • Article 31(1) of the Libraries Act(Act No. 18547), which was completely revised on December 7, 2021, stipulates that "the head of a local government or the superintendent of a city/provincial office of education must formulate a plan for the establishment and operation of a public library in advance and obtain the pre-evaluation of the feasibility of establishing a public library from the Minister of Culture, Sports and Tourism." Through the preliminary feasibility evaluation at the construction stage of the public library, it is possible to adjust distribution to improve the adequacy of scale and resolve regional imbalances and gaps. In addition, it is expected to increase service satisfaction and operational enhancement by inducing faithful securing of core infrastructure (librarians, collection, facilities, systems, etc.) in terms of balanced regional development and public library construction. The purpose of this study is to develop and present the basic direction and feasibility evaluation model for establishment of public libraries. The proposed evaluation model is expected to secure the legal basis and institutional legitimacy of the pre-evaluation system for public library establishment and to prevent waste of tax due to poor construction and operation of public libraries.

Industrial Technology Leak Detection System on the Dark Web (다크웹 환경에서 산업기술 유출 탐지 시스템)

  • Young Jae, Kong;Hang Bae, Chang
    • Smart Media Journal
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    • v.11 no.10
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    • pp.46-53
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    • 2022
  • Today, due to the 4th industrial revolution and extensive R&D funding, domestic companies have begun to possess world-class industrial technologies and have grown into important assets. The national government has designated it as a "national core technology" in order to protect companies' critical industrial technologies. Particularly, technology leaks in the shipbuilding, display, and semiconductor industries can result in a significant loss of competitiveness not only at the company level but also at the national level. Every year, there are more insider leaks, ransomware attacks, and attempts to steal industrial technology through industrial spy. The stolen industrial technology is then traded covertly on the dark web. In this paper, we propose a system for detecting industrial technology leaks in the dark web environment. The proposed model first builds a database through dark web crawling using information collected from the OSINT environment. Afterwards, keywords for industrial technology leakage are extracted using the KeyBERT model, and signs of industrial technology leakage in the dark web environment are proposed as quantitative figures. Finally, based on the identified industrial technology leakage sites in the dark web environment, the possibility of secondary leakage is detected through the PageRank algorithm. The proposed method accepted for the collection of 27,317 unique dark web domains and the extraction of 15,028 nuclear energy-related keywords from 100 nuclear power patents. 12 dark web sites identified as a result of detecting secondary leaks based on the highest nuclear leak dark web sites.

Bibliometric Analysis of Herbal Medicine on Atopic Treatment Research Trends over the Past 20 Years (최근 20년간 한약을 중심으로 한 아토피 질환 치료에 대한 계량서지학적 분석)

  • Hye-Jin Park;Hyoen-Jun Cheon;So-Eun Son;So-Mi Jung;Jeong-Hwa Choi;Soo-Yeon Park;Min-Yeong Jung;Jong-Han Kim
    • The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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    • v.36 no.2
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    • pp.60-75
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    • 2023
  • Objectives : A bibliometric approach using network analysis was applied to explore the global trends of research on herbal medicine for atopic treatment. Methods : Articles related to herbal medicine on atopic treatment from 2003 to 2022 were retrieved from Web of Science Core Collection. Extracted records were analyzed according to the publication year, research area, journal title, country, organization, author and keyword. The VOSviewer program was used to visualize the trends and the research hotspots in herbal medicine for atopy. Results : Analysis of 406 articles indicated the consistent increase of using herbal medicine for atopic treatment over the last 20 years. The most productive country and research organization in issuing articles were South Korea and Kyunghee university. Many articles have been published in research areas such as 'integrative complementary medicine' and 'pharmacology pharmacy'. By evaluating the total link strength, the average publication year and the average citations of countries and authors, the influential countries and authors were identified. A network analysis based on the co-occurrence and the publication year of keywords revealed the relevant characteristics and trends of herbal medicine for atopy. The most up-to-date keywords were 'topical application', 'skin barrier' and 'care'. Conclusions : This bibliometric study examined the overall trends and the time-based development of herbal medicine for atopic treatment. The current study would be useful not only for grasping the global network hub of research on herbal medicine for atopic treatment, but also to explore the new directions for future research.

A Policy Study to Improve the Utilization of Public Data in Busan (부산지역 공공데이터 활용도 향상을 위한 정책연구)

  • Bae, Soohyun;Kim, Sungshin;Jeong, Seok Chan
    • The Journal of Bigdata
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    • v.6 no.2
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    • pp.1-15
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    • 2021
  • The unprecedented pandemic of infectious diseases called COVID-19 has dampened human and material movement, and changes in the global economic structure have caused various economic and industrial problems such as worsening employment along with the domestic and international economic recession. In this crisis situation, the government announced the "New Deal" as a new card to enhance economic vitality following the "emergency disaster support fund." This means that the first business of the Digital New Deal, the beginning and core of the New Deal, begins digital transformation from collecting data, which is the "rice" of digital transformation to the data dam. Until now, not only the government but also local governments have established and operated platforms for collecting and sharing public data by establishing various data portals. It is evaluated that it lacks utilization for commercialization as not only the government but also local governments focus only on building the platform without considering the business model when building the initial public data platforms. In particular, in the case of regions, there is a lack of public data to be used for data business, so it is necessary to utilize data from public institutions in the region. In this study, various data collection, data quality improvement, and data utilization improvement were suggested as measures to solve these problems.

Big data analysis on NAVER Smart Store and Proposal for Sustainable Growth Plan for Small Business Online Shopping Mall (네이버 스마트스토어에 대한 빅데이터 분석 및 소상공인 온라인쇼핑몰 지속성장 방안 제안)

  • Hyeon-Moon Chang;Seon-Ju Kim;Chae-Woon Kim;Ji-Il Seo;Kyung-Ho Lee
    • The Journal of Bigdata
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    • v.7 no.2
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    • pp.153-172
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    • 2022
  • Online shopping has transformed and rapidly grown the entire market at the forefront of wholesale and retail services as an effective solution to issues such as digital transformation and social distancing policy (COVID-19 pandemic). Small business owners, who form the majority at the center of the online shopping industry, are constantly collecting policy changes and market trend information to overcome these problems and use them for marketing and other sales activities in order to overcome these problems and continue to grow. Objective and refined information that is more closely related to the business is also needed. Therefore, in this paper, through the collection and analysis of big data information, which is the core technology of digital transformation, key variables are set in product classification, sales trends, consumer preferences, and review information of online shopping malls, and a method of using them for competitor comparison analysis and business sustainability evaluation has been prepared and we would like to propose it as a service. If small and medium-sized businesses can benchmark competitors or excellent businesses based on big data and identify market trends and consumer tendencies, they will clearly recognize their level and position in business and voluntarily strive to secure higher competitiveness. In addition, if the sustainable growth of the online shopping mall operator can be confirmed as an indicator, more efficient policy establishment and risk management can be expected because it has an improved measurement method.