• 제목/요약/키워드: Data Structuring

검색결과 144건 처리시간 0.023초

Structuring of Unstructured SNS Messages on Rail Services using Deep Learning Techniques

  • Park, JinGyu;Kim, HwaYeon;Kim, Hyoung-Geun;Ahn, Tae-Ki;Yi, Hyunbean
    • 한국컴퓨터정보학회논문지
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    • 제23권7호
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    • pp.19-26
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    • 2018
  • This paper presents a structuring process of unstructured social network service (SNS) messages on rail services. We crawl messages about rail services posted on SNS and extract keywords indicating date and time, rail operating company, station name, direction, and rail service types from each message. Among them, the rail service types are classified by machine learning according to predefined rail service types, and the rest are extracted by regular expressions. Words are converted into vector representations using Word2Vec and a conventional Convolutional Neural Network (CNN) is used for training and classification. For performance measurement, our experimental results show a comparison with a TF-IDF and Support Vector Machine (SVM) approach. This structured information in the database and can be easily used for services for railway users.

로하스박람회의 고객만족과 미래행동의도에 미치는 영향요인 (Factors to Influence Customer Satisfaction and Future Behavior Intention for LOHAS Exhibition)

  • 라정임;김형길;양성수
    • 유통과학연구
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    • 제14권9호
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    • pp.133-147
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    • 2016
  • Purpose - The Purpose of this study is to observe the value of LOHAS as an exhibition that is perceived to be a specialized local exhibition with good fame and differentiated advantage as well as the spectators' will to visit the exhibition coming from the future behavior intention of visitors. Research design, data, and methodology - In order to achieve the purpose of this study, This study organized questionnaire after setting a hypothesis based on the theoretical background from the parameters. verification of the hypothesis by statistically analyzing the answers for questionnaire follows. Finally, the implication of this study is drawn through comprehensive discussion while This study indicated from the limits of the study and future direction for research. This study set up a model to research the influence on the structuring factors in LOHAS exhibition in forming perceived value, customer satisfaction and future behavior intention. Frequency analysis was used for getting demographic characteristics, verification of plausibility, reliability of measured parameters and factors analysis. This study have performed verification of difference at selection property level based on multiple regression analysis and demographic nature. Results - To summarize the study result, through the verification of hypothesis about meaningful influence among structuring factors in LOHAS exhibition, perceived value and customer satisfaction shows some noticeable points to focus on. That is, it is established things that partial adoption and meaning relationship of partial influence. The perceived value affected both customer satisfaction and future behavior intention meaningfully. Conclusions - This study could note that in the structuring factors of LOHAS exhibition, perceived value for visitors and customer satisfaction play their roles positively on the future behavior intention. In conclusion, this study implies that strategic measures are necessary to fulfill the structuring factors of LOHAS exhibition as they would make positive impact on acknowledged value, customer satisfaction and future behavior intention to contribute to the growth and development of LOHAS exhibition. Also it suggests that the method to join each other with activities is necessary to strengthen the properties of the exhibition and position well to be a solid local exhibition.

Applied Computational Tools for Crop Genome Research

  • Love Christopher G;Batley Jacqueline;Edwards David
    • Journal of Plant Biotechnology
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    • 제5권4호
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    • pp.193-195
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    • 2003
  • A major goal of agricultural biotechnology is the discovery of genes or genetic loci which are associated with characteristics beneficial to crop production. This knowledge of genetic loci may then be applied to improve crop breeding. Agriculturally important genes may also benefit crop production through transgenic technologies. Recent years have seen an application of high throughput technologies to agricultural biotechnology leading to the production of large amounts of genomic data. The challenge today is the effective structuring of this data to permit researchers to search, filter and importantly, make robust associations within a wide variety of datasets. At the Plant Biotechnology Centre, Primary Industries Research Victoria in Melbourne, Australia, we have developed a series of tools and computational pipelines to assist in the processing and structuring of genomic data to aid its application to agricultural biotechnology resear-ch. These tools include a sequence database, ASTRA, for the processing and annotation of expressed sequence tag data. Tools have also been developed for the discovery of simple sequence repeat (SSR) and single nucleotide polymorphism (SNP) molecular markers from large sequence datasets. Application of these tools to Brassica research has assisted in the production of genetic and comparative physical maps as well as candidate gene discovery for a range of agronomically important traits.

터널 구조물 안전점검을 위한 이미지 데이터 취득 및 데이터 구조화 방법 (Image-Data-Acquisition and Data-Structuring Methods for Tunnel Structure Safety Inspection)

  • 성현석;고준섭
    • 한국지반공학회논문집
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    • 제40권1호
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    • pp.15-28
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    • 2024
  • 본 연구에서는 터널 구조물 내부 이미지 데이터를 취득하는 방법과 이미지 데이터의 구조화를 위한 방법을 제안하였다. 터널 구조물 내부 이미지 데이터 취득 조건을 개선함으로써 AREA TYPE의 터널 스캐닝에서 고화질의 이미지 데이터를 얻을 수 있다. 데이터 취득 조건을 개선하기 위해 터널 상부에 터널의 길이 방향 레일을 설치하고 설치된 레일을 이동하며 터널 구조물 전체의 이미지 데이터를 취득할 수 있도록 설계하였다. 본 연구는 거리 20m, 해상도 3840×2160 및 해상도 720×480의 조건에서 0.5mm 균열 모사선을 식별하였다. 또한 취득된 이미지 데이터를 이미지 타일 단위로 관리하기 위한 이미지 데이터 구조화 방법을 제안하였다. 터널의 이미지 데이터 구조화를 위해 적용인자 (취득 이미지의 해상도와 터널의 크기)를 관계식에 대입하여 터널의 이미지 데이터를 구조화할 수 있다. 실험을 통해 터널 길이 1,000m, 폭 20m 터널의 이미지 데이터는 해상도와 정밀도에 따라 최소중첩률 0.02%에서 8.36% 구해지며 로컬좌표계의 크기는 (14×15)에서 (36×34)로 나타났다.

GROVE를 이용한 SGML 문서 저장 관리 시스템 설계 (Design of SGML Document Storage Management System using GROVE)

  • 정회경;안성옥;오일덕
    • 정보학연구
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    • 제2권2호
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    • pp.269-279
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    • 1999
  • 정보화 사회에서 많은 문서가 전자화 됨에 따라 효율적인 처리를 위해 구조화된 전자 문서 처리가 요구되고 있다. 이에 SGML은 구조화된 정보를 생성하고 교환하기 위한 문서 표준으로써, 이러한 전자 문서를 보여주고 수정하며 새로운 문서를 생성하기에 알맞다. 이에 따라 대량의 구조화된 SGML 문서 정보의 저장, 관리에 관한 연구가 필요하다. 본 논문은 HyTime(Hypermedia Time-based Structuring Language)에서 정의된 GROVE(Graph Representation Of property ValuEs)를 이용하여 데이터 모델링 설계 및 SGML 문서 저장 관리 시스템 설계에 대해 기술한다.

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Gray Scale Morphology를 이용한 하이브리드 메디안 필터에 관한 연구 (A Study on Hybrid Median Filter Using Gray Scale Morphology)

  • 문성용;김종교
    • 한국통신학회논문지
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    • 제17권11호
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    • pp.1264-1270
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    • 1992
  • Morphological 필터는 다양한 structuring element로서 morphological 연산으로 구성된다. 두개의 기본적인 morphological 연산은 erosion과 dilation이다. 두 연산에 기본을 두고 OC, CO 필터가 정의된다. 가우시안 잡음이 포함된 이미지의 잡음을 제거할 경우 OC 필터의 성능이 CO의 성능보다 우수함을 확인하였다. 본 논문에서는 이미지 처리에 있어서 하이브리드 메디안 필터를 구성하여 다른 필터 보다 화질의 선명도를 개선하고 컴퓨터 시뮬레이션을 통하여 해석하였다.

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강구조물설계에서 부재선정의 시스템화 방법론 (Member Selection Procedure in the Steel Structural Design)

  • 이영호;김상철;김흥국;이병해
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 1995년도 가을 학술발표회 논문집
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    • pp.197-206
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    • 1995
  • In structural design procedure, The procedure of member selection manages complex data relationship and reflects structural expert's knowledge. It is a difficult problem to construct an effective system with the conventional l programming technique. Knowledge_based s!'stem is a software system capable of supporting the explicit representation of expert's knowledge in member selection process through member data and reasoning mechanisms. This study describes useful methodology for structuring knowledge and representing relation between member data and knowledge. And this study shows the application of this member for member selection in the steel structural design.

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영아의 기질과 어머니의 정서적 가용성 및 영아의 정서적 반응성과 참여 간의 관련성 (The Relationship between Infant Temperament, Maternal Emotional Availability, Infant Emotional Responsiveness and Involvement)

  • 이형민;조복희
    • 아동학회지
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    • 제33권2호
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    • pp.223-242
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    • 2012
  • The main purpose of this study is to examine the relationship between the variables of infant temperament, maternal emotional availability, infant emotional responsiveness and involvement. A total of 60 infants and their mothers participated in this study. Mother-infant dyads were observed and mothers then completed questionnaires. Data was analyzed by means of descriptive statistics, t-tests, Pearson's correlations and hierarchical regressions. In terms of infant emotional responsiveness, maternal sensitivity and non-hostility, these were revealed to have had an effect on infant emotional responsiveness. Moreover, infants who have mothers who had the ability to read their infants' emotional signals accurately, responded in appropriate ways and interacted with affection, showed a higher level of responsiveness. In terms of infant emotional involvement, maternal structuring had an effect on infant emotional involvement. That is, infants who have mothers willing to support their infants through appropriate guidance and facilitate their interaction were more emotionally involved during the play sessions. In conclusion, maternal sensitivity, non-hostility and structuring were all related to infant emotional responsiveness and involvement, however, the degree of the effects of these variables differed.

Hop 제약조건이 고려된 최적화 웹정보검색 (Optimized Structures with Hop Constraints for Web Information Retrieval)

  • 이우기;김기백;이화기
    • 한국경영과학회지
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    • 제33권4호
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    • pp.63-82
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    • 2008
  • The explosively growing attractiveness of the Web is commencing significant demands for a structuring analysis on various web objects. The larger the substantial number of web objects are available, the more difficult for the clients(i.e. common web users and web robots) and the servers(i.e. Web search engine) to retrieve what they really want. We have in mind focusing on the structure of web objects by introducing optimization models for more convenient and effective information retrieval. For this purpose, we represent web objects and hyperlinks as a directed graph from which the optimal structures are derived in terms of rooted directed spanning trees and Top-k trees. Computational experiments are executed for synthetic data as well as for real web sites' domains so that the Lagrangian Relaxation approaches have exploited the Top-k trees and Hop constraint resolutions. In the experiments, our methods outperformed the conventional approaches so that the complex web graph can successfully be converted into optimal-structured ones within a reasonable amount of computation time.

객체 지향 데이타베이스를 이용한 HyTime 문서의 구조 정보 관리 (Management of the Structure Information of HyTime Documents using Object-Oriented Database)

  • 박인호;강현석
    • 한국멀티미디어학회논문지
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    • 제5권4호
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    • pp.351-360
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    • 2002
  • 하이퍼미디어 응용에 나타나는 다양한 형태의 멀티미디어 데이타와 이들 사이의 동기화 등을 지원하기 위해 하이퍼미디어 전자 문서의 기술 표준인 HyTime(Hypermedia/Time-based Structuring Language)이 사용되고 있다. 그런데 이러한 HyTime 문서를 효과적으로 관리하기 위해서는 HyTime문서의 논리적 구조 정보를 체계적으로 데이타베이스에 저장하여 여러 사용자가 공유할 수 있도록 관리할 필요가 있다. 본 논문에서는 하이퍼미디어 문서의 논리적인 구조를 정의하는 HyTime DTD(Document Type Definition)를 객체 지향 데이타베이스에서 체계적으로 관리하기 위해 메타 데이타베이스 스키마를 설계하고 이를 관리하는 방법을 기술한다.

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