• 제목/요약/키워드: Data Structuring

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A Data Dictionary for Procurement of Die and Mold Parts Based on PLIB Standard (PLIB에 기반한 전자상거래용 금형부품 데이터 사전의 구축)

  • 조준면;문두환;김흥기;한순흥;류병우
    • The Journal of Society for e-Business Studies
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    • v.8 no.3
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    • pp.37-52
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    • 2003
  • ISO 13584 Parts Library (PLIB) standard is making its way into e-business as a norm for classifying products and their characteristics. PLIB is a multi-parts standard, and the Part 42: Methodology for structuring Parts families Provides the information model and design Principles for the data dictionary of parts library or e-catalog. If e-catalog systems are built using a data dictionary that is constructed based on PLIB dictionary data model, many different e-catalog systems can be easily integrated and interoperated. This paper studies the roles and requirements of the data dictionary in e-catalog, and applies the data model and design principles of PLIB Part 42 to construct a data dictionary from the viewpoint of ontology Based on the analysis results, we propose a data dictionary of die and mold parts, and implementat the B2B e-catalog system.

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An Analysis on Priority of Clothing Evaluative Criteria using AHP (AHP를 이용한 의복평가기준의 우선순위 분석)

  • Cho, Youn-Joo
    • Fashion & Textile Research Journal
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    • v.9 no.1
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    • pp.81-88
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    • 2007
  • This study aimed to develop priorities alternatives based on relative rather than absolute assignments on clothing evaluative criteria. The relative comparison approach includes much redundancy and is thus less sensitive to judgemental errors common to techniques using absolute assignments. By deriving evaluative criteria for consumers in choosing clothing, and considering their relative important or value in the priority of evaluation elements. When the consumer selects clothing, it requires multi-criteria decision making exercise and needs to make trade-offs between different alternatives. With an application of the AHP's hierarchical structuring and pair-wise comparisons, this study will determine the weight and priorities of evaluation factor in clothing evaluative criteria in choosing cloth, which will eventually lead to improve management. Items for the setting priority were decided as 'symbol', 'practicality', 'economy', 'vogue', and 'aesthetic' by council. The data for this research were collected from respondents of 108 females in Busan. Data were analyzed by frequency and AHP. As the results, 'economy' was decided as a most important item. And 'a fashionable color' evaluated as that of first priority in the totality evaluation elements.

Investigation on the Effect of Multi-Vector Document Embedding for Interdisciplinary Knowledge Representation

  • Park, Jongin;Kim, Namgyu
    • Knowledge Management Research
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    • v.21 no.1
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    • pp.99-116
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    • 2020
  • Text is the most widely used means of exchanging or expressing knowledge and information in the real world. Recently, researches on structuring unstructured text data for text analysis have been actively performed. One of the most representative document embedding method (i.e. doc2Vec) generates a single vector for each document using the whole corpus included in the document. This causes a limitation that the document vector is affected by not only core words but also other miscellaneous words. Additionally, the traditional document embedding algorithms map each document into only one vector. Therefore, it is not easy to represent a complex document with interdisciplinary subjects into a single vector properly by the traditional approach. In this paper, we introduce a multi-vector document embedding method to overcome these limitations of the traditional document embedding methods. After introducing the previous study on multi-vector document embedding, we visually analyze the effects of the multi-vector document embedding method. Firstly, the new method vectorizes the document using only predefined keywords instead of the entire words. Secondly, the new method decomposes various subjects included in the document and generates multiple vectors for each document. The experiments for about three thousands of academic papers revealed that the single vector-based traditional approach cannot properly map complex documents because of interference among subjects in each vector. With the multi-vector based method, we ascertained that the information and knowledge in complex documents can be represented more accurately by eliminating the interference among subjects.

Development of an Electronic Greenhouse Gas Emission Management Platform: Managerial Implications

  • BAE, Deogsang;CHO, Yooncheong
    • The Journal of Industrial Distribution & Business
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    • v.11 no.11
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    • pp.7-18
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    • 2020
  • Purpose: The Emission Trading Scheme (ETS), which enables structuring emission credits as a financial product, is taking a crucial position of global collaboration against climate change. Previous studies that have covered ETS subjects from the macro perspective contribute to facilitating legal enactment of this scheme. However, they have rarely addressed challenges aligned with issues arising from labor burdens for ETS works from the business perspective. Research Design, data and methodology: This study presents conceptual models that are expected to help design an electronic system. The study model contains four modules: emission allocation, data interface, reduction technology sharing, and emission trading. Two validation approaches, the Analytic Hierarchy Process (AHP) and regression analysis, are applied in confirming the feasibility of the proposed model. Results: This study suggests an IT system methodology to help improvement of the current K-ETS mechanism. In particular, this study addresses effectiveness for real businesses and the adaptability of this mechanism to other nations. Conclusions: The proposed IT platform diagram can contribute to successful operation of ETS by providing multiple benefits to participating companies through in-house allocation mechanisms, the soft-landing of ETS adoption to participating companies through reduction of technology-sharing, group purchases, and transaction costs through the trading system.

Phylogeography of the Lessonia variegata species complex (Phaeophyceae, Laminariales) in New Zealand

  • Zuccarello, Giuseppe C.;Martin, Peter
    • ALGAE
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    • v.31 no.2
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    • pp.91-103
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    • 2016
  • A goal of phylogeography is to relate phylogenetic patterns to potential historic and contemporary geographic isolating events. Genetic breaks found in phylogeographic studies may denote boundaries between more generally applicable biogeographic regions. We investigated the distribution of Lessonia variegata, an important habitat forming alga, found on most rocky shores around New Zealand’s main islands, plus related species from surrounding waters. L. variegata has been shown to consist of four distinct cryptic species. Our aim was to compare the distribution of L. variegata with proposed bioregions; and to develop phylogeographic hypotheses to explain its present day distribution. Both a mitochondrial (atp8-sp) and plastid (RuBisCo spacer) marker, with different mutation rates, were used to gain information of the phylogenetic history of Lessonia. The data revealed high phylogeographic structuring and reciprocal endemism for all L. variegata cryptic species. One species (L. variegata / N) is confined to the northern part of the North Island of New Zealand; L. variegata / W is found at the southeast of the North Island and the northern South Island; L. variegata / K is endemic to the northeast South Island; and L. variegata / S is restricted to the southern part of the South Island. No overlapping areas of L. variegata species distribution were found. The data showed that genetic breaks in Lessonia do mostly correlate to bioregions, and highlight the importance of Cape Campbell at the northeast of the South Island and East Cape in the North Island, well known phylogeographic breaks, as a barrier between adjacent species.

Structuring of unstructured big data and visual interpretation (부산지역 교통관련 기사를 이용한 비정형 빅데이터의 정형화와 시각적 해석)

  • Lee, Kyeongjun;Noh, Yunhwan;Yoon, Sanggyeong;Cho, Youngseuk
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.6
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    • pp.1431-1438
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    • 2014
  • We analyzed the articles from "Kukje Shinmun" and "Busan Ilbo", which are two local newpapers of Busan Metropolitan City. The articles cover from January 1, 2013 to December 31, 2013. Meaningful pattern inherent in 2889 articles of which the title includes "Busan" and "Traffic" and related data was analyzed. Textmining method, which is a part of datamining, was used for the social network analysis (SNA). HDFS and MapReduce (from Hadoop ecosystem), which is open-source framework based on JAVA, were used with Linux environment (Uubntu-12.04LTS) for the construction of unstructured data and the storage, process and the analysis of big data. We implemented new algorithm that shows better visualization compared with the default one from R package, by providing the color and thickness based on the weight from each node and line connecting the nodes.

Design and Implementation of Object Reusing Methods for Mobile Vector Map Services (모바일 벡터 지도 서비스를 위한 객체 재사용 기법의 설계 및 구현)

  • Kim, Jin-Deog;Choi, Jin-Oh
    • The KIPS Transactions:PartD
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    • v.10D no.3
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    • pp.359-366
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    • 2003
  • Although the reuse of the cached data for scrolling the map reduces the amount of passed data between client and server, it needs the conversions of data coordinates, selective deletion of objects, cache compaction and object structuring step in the clients. The conversion is a time- intensive operation due to limited resources of mobile phones such as low computing power, small memory. Therefore, in order to control the map efficiently in the vector map service based mobile phones, it is necessary to study the methods which reuse cached objects for reducing wireless network bandwidth and overwhelming the limited resources of mobile phones as well. This paper proposes the methods of reusing pre-received spatial objects for map control in the mobile vector map service system based on client-server architecture. The experiments conducted on the Web GIS systems with real data show that the proposed method is appropriate to map services for mobile phone. We also analyze the advantages and drawbacks between the reuse of cached data and transmission of raw data respectively.

An Integration Approach of Trajectory-Based Aviation Weather and Air Traffic Information for NARAE-Weather (나래웨더를 위한 궤적기반 항공기상 정보와 항공교통 정보의 통합 방안)

  • Sang-il Kim;Do-Seob Ahn;Jiyeon Kim;Seungchul Kim;Kyung-Soo Han
    • Korean Journal of Remote Sensing
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    • v.39 no.6_1
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    • pp.1331-1339
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    • 2023
  • In support of the National ATM Reformation and Enhancement Plan (NARAE), a trajectory-based aviation weather service is under development through the NARAE-Weather project. Specifically, weather data presented in a standardized digital format facilitates the seamless integration of digital weather data with air traffic information. Thus, this paper introduces an approach that entails structuring numerical model data to integrate aviation weather information and flight trajectory data. The extraction results using structurally transformed data showed superior performance compared to the results extracted from the original data in terms of performance, and this research is poised to enhance the safety and efficiency of airline operations.

CAPI and Higher Data Quality: the Case of KLoSA and Blaise CAPI Programme (컴퓨터를 이용한 대인면접이 조사 자료의 질 개선에 미치는 영향: 고령화연구패널조사의 Blaise 활용 사례를 중심으로)

  • Shin, Hyun-Goo;Lee, Hye-Jung
    • Survey Research
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    • v.7 no.2
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    • pp.71-95
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    • 2006
  • This article presents strengths of Computer-Assisted Personal Interviewing(CAPI) in social surveys with complicated questionnaires, from examples of a pilot and the first year surveys of the Korean Longitudinal Study of Ageing(KLoSA). This study focuses on how to improve the quality of data by using CAPI and finds five strengths among others. First of all, CAPI can contribute to reducing response errors by structuring the logic and path of questionnaires, setting a response range, and maintaining response consistency. Second, CAPI enhances convenience of interviewing by allowing customized questions and automatic calculation and scoring. It also allows the 'help' function. Third, its random arrangement of questions prevents response order effect and/or questions order effect. Fourth, CAPI can raise the response rate by reducing item non-responses. Fifth, it makes it easy monitoring interviewing, thus helps supervising interviewers and modifying questionnaires when necessary. These merits of CAPI contribute to reducing possible errors in the process of interviewing, therefore improve the data quality.

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An Implementation of distributed Real-time Location Data Server based on the GALIS Architecture (GALIS 구조 기반 실시간 분산 위치 데이타 서버 구현)

  • Lee, Joon-Woo;Lee, Woon-Ju;Lee, Ho;Nah, Yun-Mook
    • Journal of Korea Spatial Information System Society
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    • v.7 no.1 s.13
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    • pp.53-62
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    • 2005
  • A challenging task in the LBS system engineering is to implement a highly scalable system architecture which can manage moderate-size configurations handling thousands of moving items as well as upper-end configurations handling distributed computing system architecture that consists of multiple data processors, each dedicated to keeping records relevant to a different geographical zone and a different time zone. In this paper, we explain a prototype location data server structuring major components of GALIS by employing the TMO programming scheme, including the execution engine middleware developed to support real-time distributed object programming and real-time distributed computing system design. We present how to generate realistic location sensing reports and how to process such location reports and location-related queries. Some experimental results showing performance factors regarding distributed query processing are also explained.

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