• Applied Chemistry for Engineering
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• v.2 no.1
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• pp.1-11
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• 1991

Xenon-129 NMR technique has been developed since 1980 as a new method for the characterization of microporous materials such as zeolites, activated carbons and alumina by using chemical shift and linewidth variations in $^{129}Xe$ NMR of adsorbed xenon gas. This NMR technique has been known to be very effective to probe the locational and the chemical changes of the supported metallic species as well as the physicochemical change of the support material. Recently, this method has been successfully applied for the characterization of amorphous materials such as activated carbons, silica and alumina. Basic principles, experimental techniques and recent applications of the $^{129}Xe$ NMR method for the study of heterogeneous catalysts are introduced in this paper.

• Convergence Security Journal
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• v.20 no.3
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• pp.109-114
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• 2020

Currently, in the 4th industrial revolution era(4IR), the convergent infrastructure has been established by actively utilizing data based on the existing digital technological innovation in the 3rd industrial revolution. Thus, the technological innovation based on the knowledge-information society needs to put innovative efforts for creating new business models in various areas. Thus, this study aims to present an Electronic Security Framework by suggesting the Cyber-Physical Security System(CPSS) that could more accurately predict and efficiently utilize it based on structured data obtained by collecting, analyzing, and processing an enormous amount of unstructured data which is a core technology distinguished from the 3rd industrial revolution.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.5
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• pp.37-47
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• 2013

Text Mining is a research area of retrieving high quality hidden information such as patterns, trends, or distributions through analyzing unformatted text. Basically, since text mining assumes an unstructured text, it needs to be represented as a simple text model for analyzing it. So far, most frequently used model is VSM(Vector Space Model), in which a text is represented as a bag of words. However, recently much researches tried to apply a graph-based text model for representing semantic relationships between words. In this paper, we survey research trends of graph-based text representation models for text mining. Additionally, we also discuss about future models of graph-based text mining.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2015.05a
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• pp.121-122
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• 2015

The demand on free-form buildings is gradually increasing, but there are several problems such as increased cost and construction duration, and decreased constructability at the construction phase upon construction of a building owing to the difficulty of member production-installation. To solve these problems, a technology to produce FCP using a CNC machine was developed. Basically, it delivers the information on a free-form building designed to the CNC machine, the shapes of RTM and PCM are created using the information delivered and FCP are produced with the RTM and PCM which act as forms. Since the construction duration and project cost are limited on site, the efficiency of FCP production-installation is significant for application of the technology. For it is almost impossible to change the production-installation layout and process once they are set in the construction phase, they should be carefully determined. Before the production-installation layout are established, it is necessary to analyze the factors that influence the duration. Thus, the study intends to analyze influence factors in PCM mold on estimation of the production-installation duration for FCP. According to the analysis of influence factors, a simulation model for estimation of the duration that changes depending on the constraint conditions can be built.

• Journal of the Ergonomics Society of Korea
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• v.26 no.2
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• pp.113-122
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• 2007

In shipbuilding industry, musculoskeletal disorders increase rapidly since 2001. Musculoskeletal disorders was occurred the number of 735 in 2003 and the number of 479 on the whole in 2002 and is increased. About this, it is in progress actively that a lot of research services for problem grasping and technology seminar for prevention of musculoskeletal disorders of shipbuilding industry with KOSHIPA (The Korea Shipbuilding Association) in the center in 2002. But, it is actuality that the research is in many difficulties by absence of basic data in shipbuilding industry that most un-standardization work forms. Therefore, this study analyzed present condition of musculoskeletal disorders to shipbuilding industry that most un-standardization work forms. Also, we analyzed on the subject of the Centering-work that appearance extremely much musculoskeletal disorders.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.07a
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• pp.301-303
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• 2015

국내 건설행정 투명화 및 경쟁력 향상 목적으로 개발된 건설사업정보시스템에 정부와 운영주체는 다양한 기능개선 방안과 관련 연구를 수행하며 시스템 성능을 개선시켜왔다. 그러나 기 추진된 성능향상 방안이 공공업무 처리에 중점 되어 대국민 사용자를 위한 콘텐츠 및 기능 등의 서비스가 미흡한 상황이다. 이에 본 논문에서는 건설사업정보 건설인허가시스템의 도로점용장소별 허가현황 기능을 중심으로 빅 데이터를 이용한 허가현황 정보 제공 방안을 제안하였다. 제안한 기능개선 방안은 기 구축된 비정형 데이터를 빅 데이터 기반으로 재분석하여 구글 맵에 가시화함으로써 공공업무 데이터 처리 뿐만 아니라 대국민 서비스를 위한 콘텐츠 제공이 가능하도록 하였다. 뿐만 아니라 그동안 축적된 15TB이상의 건설관련 데이터의 재활용 가능성을 시사함으로써 시스템 활용성 증대 및 개편 방향에 도움이 될 것으로 판단된다.

• Journal of Information Technology Services
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• v.15 no.4
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• pp.1-24
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• 2016

With the innovation of information technology, non-face-to-face robo advisor with high accessibility and convenience is spreading. The current robot advisor recommends appropriate investment products after understanding the investment propensity based on the structured data entered directly or indirectly by individuals. However, it is an inconvenient and obtrusive way for financial consumers to inquire or input their own subjective propensity to invest. Hence, this study proposes a way to deduce the propensity to invest in unstructured data that customers voluntarily exposed during consultation or online. Since prediction performance based on unstructured document differs according to the characteristics of text, in this study, classification algorithm optimized for the characteristic of text left by financial consumers is selected by performing prediction performance evaluation of various learning discrimination algorithms and proposed an intelligent method that automatically recommends investment products. User tests were given to MBA students. After showing the recommended investment and list of investment products, satisfaction was asked. Financial consumers' satisfaction was measured by dividing them into investment propensity and recommendation goods. The results suggest that the users high satisfaction with investment products recommended by the method proposed in this paper. The results showed that it can be applies to non-face-to-face robo advisor.

• The Transactions of the Korea Information Processing Society
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• v.4 no.8
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• pp.2025-2037
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• 1997

The concept-based translation system, which is a part of the Korean spoken language translation system, translates spoken utterances from Korean speech recognizer into one of English, Japanese and Korean in a travel planning task. Our system regulates semantic rather than the syntactic category in order to process the spontaneous speech which tends to be regarded as the one ungrammatical and subject to recognition errors. Utterances are parsed into concept structures, and the generation module produces the sentence of the specified target language. We have developed a token-separator using base-words and an automobile grammar corrector for Korean processing. We have also developed postprocessors for each target language in order to improve the readability of the generation results.

• Journal of Korean Association for Spatial Structures
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• v.19 no.2
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• pp.109-116
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• 2019

In this study, the seismic response is investigated by using a relatively low-rise building under torsion-prone conditions and three seismic loads with change of the location of the seismic isolation system. LRB (Lead Rubber Bearing) was used for the seismic isolator applied to the analytical model. Fixed model without seismic isolation system was set as a basic model and LB models using seismic isolation system were compared. The maximum story drift ratio and the maximum torsional angle were evaluated by using the position of the seismic layer as a variable. It was confirmed that the isolation device is effective for torsional control of planar irregular structures. Also, it was shown that the applicability of the mid-story seismic isolation system. Numerical analyses results presented that an isolator installed in the lower layer provided good control performance for the maximum story drift ratio and the maximum torsional angle simultaneously.

• Journal of Korean Association for Spatial Structures
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• v.21 no.4
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• pp.23-30
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• 2021

In this paper, a twisted shape structure with an elevation form favorable to the resistance of vibration caused by wind loads is selected from among the forms of high-rise buildings. The analytical model is a square, triangular, and hexagonal plane with a plane rotation angle of one degree from 0 to 3 degrees per each story. As a result of the analysis, as the twist angle increased, story drift ratio is increased. Responses with different eccentricity rates were shown by analytical models. Therefore planar shapes designed symmetrically to the horizontal axis of X and Y are considered advantageous for eccentricity and torsion deformation. In the case of the bending moment of the column, the response was amplified in the column supporting the base floor, the roof floor, the floor in which the cross-section of the vertical member changes, and the floor having the same number of nodes as the base floor. Finally, the axial force response of the column is determined to be absolutely affected by the gravity load compared to the lateral load.