• Proceedings of the Korea Contents Association Conference
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• 2013.05a
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• pp.41-42
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• 2013

최근 노령화가 급속히 진행되면서 노화에 대한 연구가 활발히 진행되고 있다. 하지만 노화현상은 광범위한 표현형을 지니고 있는 생명현상으로 이에 대한 체계적인 연구를 지원하기 위한 웹포털 사이트가 필요한 실정이다. 특히 노화에 따른 질병과의 연관성 및 관련 유전자에 대한 정보를 수집하고 이를 체계적으로 분석할 수 있는 통합정보시스템은 향후 노화연구를 지원하기 위한 가장 핵심적인 요소라고 할 수 있다. 본 연구에서는 기존 노화와 관련된 461개의 유전자를 기반으로 관련된 질병과의 연관성을 OMIM 데이터베이스를 활용하여 분석하였다. 또한 관련 단백질의 기능을 GO데이터베이스 분석을 통해 유전자의 기능을 분석하였다. Pubmed에서 제공하는 노화관련 논문들의 MeSH 정보 분석을 통해서 노화와 관련된 용어를 분석하였다. 노화와 관련된 64개의 유전자를 키워드로 NCBI의 pubmed 데이터베이스로부터 관련논문을 다운로드 받아 생물학적 상호작용 정보를 추출했다. 생물학적 상호작용은 NCBI에서 제공하는 Metamap 데이터베이스를 기반으로 각각의 생물학적 용어를 정의했다. 현재 노화 유전자 64개에 대해 128,729개의 생물학적 상호작용 정보를 추출했고, 8대 노인성만성질환에 대해 301,176개의 생물학적 상호작용 정보를 추출하였다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.18 no.1
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• pp.11-17
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• 2000

GIS is the system that has ability of integrating, managing, and analyzing the voluminous graphic and text data, which is adequate system to manage complex network of the underground utilities of urban area. A development of gas line safety management system is accomplished to construct a database of gas line network and topographic data, create safety managing model, and estimate openly its safety by GIS. This system is designed to evaluate easily the damaged facilities in case of gas line explosion by the establishment of the geographic output system. It is designed to trace and present efficiently closed valves and interrupted facilities of gas when gas line breakage occurs, and offer the information by which one can take quickly emergency. And also, it is constructed to prevent from accident occurring under construction work by showing underground utilities and states of work.

• International Journal of Knowledge Content Development & Technology
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• v.3 no.1
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• pp.81-95
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• 2013

Through a series of precise text handling processes, including automatic extraction of information from documents with knowledge from various fields, recognition of entity names, detection of core topics, analysis of the relations between the extracted information and topics, and automatic inference of new knowledge, the most efficient knowledge base of the relevant field is created, and plans to apply these to the information knowledge management and service are the core requirements necessary for intellectualization of information. In this paper, the knowledge base, which is a necessary core resource and comprehensive technology for intellectualization of science and technology information, is described and the usability of academic information services using it is evaluated. The knowledge base proposed in this article is an amalgamation of information expression and knowledge storage, composed of identifying code systems from terms to documents, by integrating terminologies, word intelligent networks, topic networks, classification systems, and authority data.

• Publications of The Korean Astronomical Society
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• v.26 no.1
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• pp.1-24
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• 2011

Korea Astronomy and Space Science Institute (KASI) has constructed online database of the Korean Astronomical Almanac as a part of the 'Knowledge and Information Business Project 2009' supported by the Ministry of Knowledge Economy. Throughout this project, KASI provides both digitized images and extracted text from the almanac covering approximately 240 years. The primary purpose of this paper is to serve as a reference for users of the almanac database. Hence, we introduce the calendar history and kinds of the astronomical almanac used in Korea, and explain the contents of the almanacs according to its appearance time. We also briefly mention the steps employed in constructing the database system and Web site. Since ancient times, astronomical almanacs have been an essential part of daily life. We, therefore, believe that the astronomical almanac database constructed by KASI will prove its usefulness in various fields, and particularly in the study of historical astronomy.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.1
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• pp.86-93
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• 2008

The construction of ontology defines as complicated semantic relations needs precise and expert skills. For the well defined ontology in real applications, plenty of information of instances for ontology classes is very critical. In this study, crawling algorithm which extracts the fittest topic from the Web overflowing over by a great number of documents has been focused and developed. Proposed crawling algorithm made a progress to gather documents at high speed by extracting topic-specific Link using URL patterns. And topic fitness of Link block text has been represented by fuzzy sets which will improve a precision of the focused crawler.

• Journal of the Korea Safety Management & Science
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• v.13 no.2
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• pp.31-42
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• 2011

Smart-Phones are utilized in disaster management field because it can deliver disaster information to large population simultaneously and quickly, and provide accurate information through situation-based service using the LBS(Location Based Service). To study on the utilization of smart phone for disaster information collection and dissemination method, this study suggest a framework which connects smart phone by loading application for reporting disaster. The disaster monitoring and situation dissemination system framework using smart phone is composed of 4 parts. First, smart phone application enters image, video, voice and text information and location of the disaster. Second, the disaster report reception and situation dissemination server receives the information, save in the DB, and send through smart phone SMS. Third, store into disaster information database. Fourth, display the disaster report and management information on 2D GIS, support the decision making process in deciding whether to manage as disaster, and disaster management web service which disseminates situation.

• Journal of Mechanical Science and Technology
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• v.19 no.12
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• pp.2197-2204
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• 2005

The combination of Gas chromatography (GC) for separation and Flame Ionization Detection (FID) for detection and identification of the components of a mixture of compounds is a fast and strongly proved method of analytic chemistry. The objective of this research was to design a combined High-speed miniature screening Gas chromatograph along with a Flame Ionization Detector for quick, quantitative and qualitative analysis of gas components. This combined GC-FID system is suitable to detect the volatile and semi-volatile hydrocarbons present in a gas mixture. The construction made it less expensive, easy to use and movable. The complete gas path was developed. On/off valves, temperature and flow sensors and their interface electronics were used for controlling purpose. A Microcontroller was programmed to measure the temperature and gas flow using the sensors and to control and regulate them using the electronics and valves. A pocket PC with its touch screen served as a user interface for the system. Software was developed for the pocket PC, which makes the communication possible with the Microcontroller. The system parameters can be indicated in the Pocket PC as simple text and also the analysis result can be displayed.

• Journal of Fashion Business
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• v.18 no.3
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• pp.91-103
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• 2014

Shirts which have been a inner-wear in men's suit in the past, are being changed into an item that 20's men utilize to their individuality. Dress shirts have gotten out of its shape, becoming tight and slim with activity and fashion trend. In this study, two patterns of fitted dress shirts in a clothing construction text book were compared with the pattern of an apparel company with regard to the size tolerance and appearance silhouette; this comparison was performed through a fitting test and an appearance evaluation. According to the study, size tolerance of chest girth and waist girth were about 6~8cm and 10~18cm, respectively. Neck girth of the collar was tight in both the fitting test and appearance evaluation. Thus, the measurement value of the neck base girth had to be used for the collar pattern making. Moreover, approximately 35cm is a moderate size for the width on the upper arm in sleeve. Therefor the factors such as size tolerance of waist girth, height of sleeve cap, slim sleeve width and measurement value of neck base girth are being considered for the pattern making of fitted dress shirts.

• Bulletin of the Korean Mathematical Society
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• v.58 no.5
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• pp.1279-1300
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• 2021

Let P be a finite point set in ℝ² with the set of distance n-chains defined as ∆_n(P) = {(|p₁ - p₂|, |p₂ - p₃|, …, |p_n - p_n+1|) : p_i ∈ P}. We show that for 2 ⩽ n = O_|P|(1) we have ${\mid}{\Delta}_n(P){\mid}{\gtrsim}{\frac{{\mid}P{\mid}^n}{{\log}^{\frac{13}{2}(n-1)}{\mid}P{\mid}}}$. Our argument uses the energy construction of Elekes and a general version of Rudnev's rich-line bound implicit in [28], which allows one to iterate efficiently on intersecting nested subsets of Guth-Katz lines. Let G is a simple connected graph on m = O(1) vertices with m ⩾ 2. Define the graph-distance set ∆_G(P) as ∆_G(P) = {(|p_i - p_j|)_{i,j}∈E(G) : p_i, p_j ∈ P}. Combining with results of Guth and Katz [17] and Rudnev [28] with the above, if G has a Hamiltonian path we have ${\mid}{\Delta}_G(P){\mid}{\gtrsim}{\frac{{\mid}P{\mid}^{m-1}}{\text{polylog}{\mid}P{\mid}}}$.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.3
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• pp.7-14
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• 2023

Recently, the importance of impact-based forecasting has increased along with the socio-economic impact of severe weather have emerged. As news articles contain unconstructed information closely related to the people's life, this study developed and evaluated a binary classification algorithm about snowfall damage information by using media articles text mining. We collected news articles during 2009 to 2021 which containing 'heavy snow' in its body context and labelled whether each article correspond to specific damage fields such as car accident. To develop a classifier, we proposed a probability-based classifier based on the ratio of the two conditional probabilities, which is defined as I/O Ratio in this study. During the construction process, we also adopted the n-gram approach to consider contextual meaning of each keyword. The accuracy of the classifier was 75%, supporting the possibility of application of news big data to the impact-based forecasting. We expect the performance of the classifier will be improve in the further research as the various training data is accumulated. The result of this study can be readily expanded by applying the same methodology to other disasters in the future. Furthermore, the result of this study can reduce social and economic damage of high impact weather by supporting the establishment of an integrated meteorological decision support system.