• Title/Summary/Keyword: 정보자원 식별

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Analysis of SCI Journals Cited by Korean Journals in the Computer field

  • Kim, Byungkyu;You, Beom-Jong;Kang, Ji-Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.11
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    • pp.79-86
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    • 2019
  • It is very important to analyze and provide information resources for research output produced in the computer field, the core science of the 4th Industrial Revolution. In this paper, SCI journals cited from domestic journals in the computer field were identified and the citation rankings and their co-citation networks were generated, analyzed, mapped and visualized. For this, the bibliographic and citation index information from 2015 to 2017 in the KSCD were used as the basis data, and the co-citation method and network centrality analysis were used. As a result of this study, the number of citations and the citation ranks of SCI journals and papers cited by korean journals in the computer field were analyzed, and peak time(2 years), half-life(6.6 years), and immediacy citation rate(2.4%) were measured by citation age analysis. As a result of network centrality analysis, Three network centralities(degree, betweenness, closeness) of the cited SCI journals were calculated, and the ranking of journals by each network centrality was measured, and the relationship between the subject classifications of the cited SCI journals was visualized through the mapping of the network.

A Study on the Proposal for Deposit Linkage Plan Based on the Survey of Online Material Identification System (온라인 자료 수집 전략 및 중장기 로드맵 수립 연구)

  • Younghee Noh;Inho Chang;Youngmi Jung;Aekyoung Son;Kyungsun Lee;Hyunju Cha
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.35 no.2
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    • pp.5-23
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    • 2024
  • The seventh year of implementing online material deposit demands a systematic collection, legal and regulatory improvements, and the establishment of a long-term strategic plan for online material collection. In this study, we aimed to propose an online material collection strategy and a long-term roadmap for preserving online resources as national intellectual and cultural heritage for future generations. To achieve this, we analyzed the status of domestic and foreign libraries, related laws and regulations, and the types and collection status of online materials. Based on this analysis, we proposed practical collection standards and methods. Ultimately, a long-term roadmap and implementation plan were suggested. The long-term development plan for online material collection established a phased, concrete implementation strategy. This includes the foundation-building phase of online material collection, followed by the expansion phase, and finally reaching the maturity phase.

Development of specific single nucleotide polymorphism molecular markers for Angelica gigas Nakai (ITS 영역의 HRM 분석을 통한 참당귀(Angelica gigas Nakai)의 특이적 SNP 분자표지 개발)

  • Lee, Shin-Woo;Lee, Soo Jin;Han, Eun-Hee;Shin, Yong-Wook;Kim, Yun-Hee
    • Journal of Plant Biotechnology
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    • v.48 no.2
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    • pp.71-76
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    • 2021
  • Angelica is a perennial plant used widely for medicinal purposes. Information on the genetic diversity of Angelica populations is important for their conservation and germplasm utilization. Although Angelica is an important medicinal plant genus registered in South Korea, no molecular markers are currently available to distinguish individual species from other similar species in different countries, in particular, China and Japan. In this study, we developed single nucleotide polymorphism (SNP) markers derived from internal transcribed spacer regions of the nuclear ribosomal DNA to identify a distinct domestic species, Angelica gigas Nakai, via a high-resolution melting (HRM) curve analyses. We also performed HRM curve analysis of intentionally mixed genomic DNA samples from five Angelica species. Finally, we investigated A. gigas Nakai and A. sinensis using varying ratios of mixed genomic DNA templates. The SNP markers developed in this study are useful for rapidly identifying A. gigas species from different countries.

Fragrance Pattern and Volatile Components According to Floral Organs in Cymbidium (화기 부위에 따른 심비디움의 향기 패턴 및 성분 분석)

  • Kim, Yae Jin;Ahn, Myung Suk;Lee, Su Young;Park, Pil Man;An, Hye Ryun;Park, Pue Hee
    • Korean Journal of Plant Resources
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    • v.35 no.2
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    • pp.362-371
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    • 2022
  • This study was conducted to analyze the fragrance characteristics of Cymbidium 'Saelbit' and 'Midan' according to floral organs. As test materials, full bloom flowers were divided into four organs: sepal, petal, labellum, and column. Using the gas chromatography (GC) based electronic nose, fragrance patterns, intensity, and volatile components were analyzed. Principle component analysis (PCA) and discriminant factorial analysis (DFA) plots by electronic nose data showed that volatiles of both cultivars have a distinct difference in fragrance patterns according to the floral organs, and the value of fragrance distance and pattern discrimination index (PDI) between samples was significantly high between control and sepals in both cultivars. Among the main fragrance components, several components including nootkatone were detected in both cultivars and all floral organs. However, few components such as decane were found in specific cultivar or floral organs. These results will provide useful information to select suitable materials with desired fragrance and to enhance the utilization of domestic Cymbidium cultivars. In addition, considering the recent negative perception of artificial ingredients and the growing demand for natural materials, continuous researches on scent properties of promising cultivars are required.

Outlier Detection and Labeling of Ship Main Engine using LSTM-AutoEncoder (LSTM-AutoEncoder를 활용한 선박 메인엔진의 이상 탐지 및 라벨링)

  • Dohee Kim;Yeongjae Han;Hyemee Kim;Seong-Phil Kang;Ki-Hun Kim;Hyerim Bae
    • The Journal of Bigdata
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    • v.7 no.1
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    • pp.125-137
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    • 2022
  • The transportation industry is one of the important industries due to the geographical requirements surrounded by the sea on three sides of Korea and the problem of resource poverty, which relies on imports for most of its resource consumption. Among them, the proportion of the shipping industry is large enough to account for most of the transportation industry, and maintenance in the shipping industry is also important in improving the operational efficiency and reducing costs of ships. However, currently, inspections are conducted every certain period of time for maintenance of ships, resulting in time and cost, and the cause is not properly identified. Therefore, in this study, the proposed methodology, LSTM-AutoEncoder, is used to detect abnormalities that may cause ship failure by considering the time of actual ship operation data. In addition, clustering is performed through clustering, and the potential causes of ship main engine failure are identified by grouping outlier by factor. This enables faster monitoring of various information on the ship and identifies the degree of abnormality. In addition, the current ship's fault monitoring system will be equipped with a concrete alarm point setting and a fault diagnosis system, and it will be able to help find the maintenance time.

A Study on Intelligent Value Chain Network System based on Firms' Information (기업정보 기반 지능형 밸류체인 네트워크 시스템에 관한 연구)

  • Sung, Tae-Eung;Kim, Kang-Hoe;Moon, Young-Su;Lee, Ho-Shin
    • Journal of Intelligence and Information Systems
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    • v.24 no.3
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    • pp.67-88
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    • 2018
  • Until recently, as we recognize the significance of sustainable growth and competitiveness of small-and-medium sized enterprises (SMEs), governmental support for tangible resources such as R&D, manpower, funds, etc. has been mainly provided. However, it is also true that the inefficiency of support systems such as underestimated or redundant support has been raised because there exist conflicting policies in terms of appropriateness, effectiveness and efficiency of business support. From the perspective of the government or a company, we believe that due to limited resources of SMEs technology development and capacity enhancement through collaboration with external sources is the basis for creating competitive advantage for companies, and also emphasize value creation activities for it. This is why value chain network analysis is necessary in order to analyze inter-company deal relationships from a series of value chains and visualize results through establishing knowledge ecosystems at the corporate level. There exist Technology Opportunity Discovery (TOD) system that provides information on relevant products or technology status of companies with patents through retrievals over patent, product, or company name, CRETOP and KISLINE which both allow to view company (financial) information and credit information, but there exists no online system that provides a list of similar (competitive) companies based on the analysis of value chain network or information on potential clients or demanders that can have business deals in future. Therefore, we focus on the "Value Chain Network System (VCNS)", a support partner for planning the corporate business strategy developed and managed by KISTI, and investigate the types of embedded network-based analysis modules, databases (D/Bs) to support them, and how to utilize the system efficiently. Further we explore the function of network visualization in intelligent value chain analysis system which becomes the core information to understand industrial structure ystem and to develop a company's new product development. In order for a company to have the competitive superiority over other companies, it is necessary to identify who are the competitors with patents or products currently being produced, and searching for similar companies or competitors by each type of industry is the key to securing competitiveness in the commercialization of the target company. In addition, transaction information, which becomes business activity between companies, plays an important role in providing information regarding potential customers when both parties enter similar fields together. Identifying a competitor at the enterprise or industry level by using a network map based on such inter-company sales information can be implemented as a core module of value chain analysis. The Value Chain Network System (VCNS) combines the concepts of value chain and industrial structure analysis with corporate information simply collected to date, so that it can grasp not only the market competition situation of individual companies but also the value chain relationship of a specific industry. Especially, it can be useful as an information analysis tool at the corporate level such as identification of industry structure, identification of competitor trends, analysis of competitors, locating suppliers (sellers) and demanders (buyers), industry trends by item, finding promising items, finding new entrants, finding core companies and items by value chain, and recognizing the patents with corresponding companies, etc. In addition, based on the objectivity and reliability of the analysis results from transaction deals information and financial data, it is expected that value chain network system will be utilized for various purposes such as information support for business evaluation, R&D decision support and mid-term or short-term demand forecasting, in particular to more than 15,000 member companies in Korea, employees in R&D service sectors government-funded research institutes and public organizations. In order to strengthen business competitiveness of companies, technology, patent and market information have been provided so far mainly by government agencies and private research-and-development service companies. This service has been presented in frames of patent analysis (mainly for rating, quantitative analysis) or market analysis (for market prediction and demand forecasting based on market reports). However, there was a limitation to solving the lack of information, which is one of the difficulties that firms in Korea often face in the stage of commercialization. In particular, it is much more difficult to obtain information about competitors and potential candidates. In this study, the real-time value chain analysis and visualization service module based on the proposed network map and the data in hands is compared with the expected market share, estimated sales volume, contact information (which implies potential suppliers for raw material / parts, and potential demanders for complete products / modules). In future research, we intend to carry out the in-depth research for further investigating the indices of competitive factors through participation of research subjects and newly developing competitive indices for competitors or substitute items, and to additively promoting with data mining techniques and algorithms for improving the performance of VCNS.

Knowledge and Beliefs About the Association Between Diet and Cancer Among Korean Immigrants in the U.S.A. (미국거주 한국인 이민자들의 암과 식품에 대한 지식과 신념)

  • Cho, Jae-Kyung;Kim, Katherine;Elena Yu
    • Korean Journal of Health Education and Promotion
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    • v.15 no.1
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    • pp.133-149
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    • 1998
  • 본 연구는 미국에 사는 한국인 이민자들의 암예방과 식품에 대한 지식과 신념에 관하여 알아보는데 그 목적이 있다. 본 연구의 도구로는 미국 국민 건강연구조사 (NHIS)의 설문지를 한국어로 번역하였고, 연구의 대상자는 미국의 시카고에 거주하는 263명의 한국인 이민자들이다. 본 연구의 주된 연구결과는 다음과 같았다. (1) 대부분의 대상자(83.3%)들은 한국음식을 먹고 있다고 답하였다. (2) 대상자들의 47.5%가 영어를 전혀 못 읽거나 거의 못 읽는다고 답하였다. (3) 식생활 변화를 하지 않는 이유에 대해 현재 먹고 있는 음식을 즐기기 때문에 식생활을 바꾸고 싶지 않다는 답이 가장 많았다. (4) 우리가 먹고 마시는 음식과 관계 있는 주요질병에 대해서 25.4%의 응답자만이 암이라고 답하였다 (미국 NHIS 에서는 48%). (5) 응답자의 48.3%만이 섬유소에 대해 들어보았다고 응답하였다. (6) 7.1%의 응답자만이 섬유소가 많은 음식으로 corn flakes와 bran flakes를 고를 수 있었다. 이 결과로 보아 한국인 이민자들이 미국음식에 대해 잘 모르는 것으로 보인다. (7) 약 62%의 응답자들이 암예방에 관한 무료 보건강좌에 참석하고 싶다고 응답하였다. 보건강좌 장소에 대해 "교회'라고 답한 응답자가 가장 많았다. (8) 질병예방에 관한 정보를 어디에서 얻느냐는 질문에 대하여 "신문"이라고 답한 응답자가 가장 많았다. 본 연구에서 얻은 결과를 볼 때 대부분의 응답자들이 미국 정부에서 하고 있는 암예방 교육의 혜택을 받고 있지 않는 것으로 나타났다. 한국인 이민자들의 문화적 배경에 맞는 암교육이 필요하며, 영어를 잘 못하는 이민자들을 위해 한국말로 번역된 보건교육자료를 사용하여야 한다.교육자료를 사용하여야 한다.표현을 위하여 확장된 기본 모델을 중심으로 각 레벨의 구성 요소들의 형식적 의미(formal semantics)와 레벨 내 혹은 레벨 구성요소들간의 관계성(relationship), 그리고 제약조건의 표현과 질의 추론 규칙들을 식별하여 FOPL(First Order Predicate Logic)로 표현한다. 또한, 본 논문은 FOPL로 표현된 predicate들과 규칙들을 구현하기 위하여 Prolog로 변환하기 위한 이론적 방법론을 제시하고 정보자원 관리를 위한 기본 함수들과 스키마 진화(schema evolution)를 위한 방법론을 제안한다. 최저 잔류탁도를 나타내는 최적 응집제 주입량에서의 Zeta potential은 원수탁도가 5NTU일 경우 Alum, PAC 및 PACS 모두 -20mV∼-15mV사이였으며, 원수 탁도가 10NTU인 경우에는 0∼0.5mV 범위에 있는 것으로 나타나 응집제 종류 및 주입량이 상이하더라도 응집효율이 가장 양호한 상태에서의 Zeta potential은 일정한 범위내에 있는 것으로 나타났다.각 각 11.1, 10.2, 12.2 그리고 13.0%의 발달율을 보여 유의적인 차이를 보이지 않았다. 4. 수정 후 114 시간 개별배양된 수정란으로부터 분리된 small과 large의 할구를 공핵체로 사용한 처리구에서 핵이식 수정란의 세포융합율에 있어서 각각 71.0, 71.4, 69.9 및 77.1% 의 융합율올 보여 유의적인 차이를 나타내지 않았으며, 핵이식 수정란의 배반포기배로의 발달율에 있어서도 각각 11.4%, 8.0%, 17.2% 그리고 12.9% 의 발달율을 보여 유의적인 차이를 보이지 않았다. 이상의 결과로 보아 핵이식 수정란을 효율적으로 생산하기 위하여 수핵난자의 세포질에 ionomycin 과 DMAP 의

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A Study on the Considerations in Developing Guidelines for Recording Preferred Title of Music Works (음악저작 우선표제 기술 지침 개발시 고려사항에 관한 연구)

  • Mihwa Lee
    • Journal of the Korean Society for Library and Information Science
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    • v.58 no.1
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    • pp.373-393
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    • 2024
  • This study aims to propose the considerations for developing the guidelines for recording a preferred title in musical works by analyzing the RDA rules and guidelines of several national libraries. First, RDA rules were analyzed, and the primary rules for consideration were examined by reviewing RDA application guidelines from eight national libraries that have developed their own guidelines for alternatives and options of RDA rules. Then, by analyzing the contents of each guideline, including MLA, LC-PCC, and DACH, practical considerations was to provide. First, the original language title should be adopted in the selection of preferred title, but if the title in the original language is not suitable for domestic users, the title in other languages should be used. Second, the preferred title was examined in aspects of works with one part, works with more than one part, the complete works of one author, the compilation of a specific type of composition, the incomplete compilation, and the compilation of several composers. Third, medium of performance, numeric numbers, key, and other identifying characteristics were presented as additional factors for consideration in the recording. Fourth, it is necessary to designate or present a control vocabularies for the types of compositions and the medium of performance. This study suggests considerations in developing guidelines for recording the preferred title for RDA musical works, and it will be possible to contribute to the development of rules related to preferred titles for musical works and guidelines for recording the preferred title for musical works in libraries.

A Study on Development of Network Management Systems base on Component (컴포넌트 기반의 망관리 시스템 개발에 관한 연구)

  • Kim, Haeng-Kon;Kim, Ji-Young
    • The KIPS Transactions:PartD
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    • v.11D no.4
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    • pp.937-950
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    • 2004
  • With growing population of internet and web applications, distributed environment is considered to be the standard architecture of application. A network management systems(NMS) is necessary to control and monitor the complex network resources for providing and sharing the heft quality service. We recognize the NMS as a standard infrastructure for supporting efficient networking and a separate commercial applications. We believe every resource including software, hardware and environment for the network management should be separated from special protocols, vendors and applications. Therefore, We need a standard network management system that is efficient and consistent because of the heterogeous network features. In regards to software development, software reuse through assembling and extending the reusable elements such as patterns and components assures to realize the best productivity and quality The component based development(CBD) methodology that can assemble black box though well defined interfaces makes it possible to develop easer and quicker applications and is proved as the best software development solution involved in construction, selection and assembly of components. In this thesis, we describe the architecture for the network management and identify, define and design the components through analysis and design in the network management domain and Identified components mapped to the component architecture. We also specify the component development and design and implement the component for developing the network management. Implemented components apply to the component repository system that register, retrieve and understand the components. We analyze, design and implement the entire network management system based on configuration, connection, performance and fault management through the pre-developed components.

Design and Implementation of Sequential Pattern Miner to Analyze Alert Data Pattern (경보데이터 패턴 분석을 위한 순차 패턴 마이너 설계 및 구현)

  • Shin, Moon-Sun;Paik, Woo-Jin
    • Journal of Internet Computing and Services
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    • v.10 no.2
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    • pp.1-13
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    • 2009
  • Intrusion detection is a process that identifies the attacks and responds to the malicious intrusion actions for the protection of the computer and the network resources. Due to the fast development of the Internet, the types of intrusions become more complex recently and need immediate and correct responses because the frequent occurrences of a new intrusion type rise rapidly. Therefore, to solve these problems of the intrusion detection systems, we propose a sequential pattern miner for analysis of the alert data in order to support intelligent and automatic detection of the intrusion. Sequential pattern mining is one of the methods to find the patterns among the extracted items that are frequent in the fixed sequences. We apply the prefixSpan algorithm to find out the alert sequences. This method can be used to predict the actions of the sequential patterns and to create the rules of the intrusions. In this paper, we propose an extended prefixSpan algorithm which is designed to consider the specific characteristics of the alert data. The extended sequential pattern miner will be used as a part of alert data analyzer of intrusion detection systems. By using the created rules from the sequential pattern miner, the HA(high-level alert analyzer) of PEP(policy enforcement point), usually called IDS, performs the prediction of the sequence behaviors and changing patterns that were not visibly checked.

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