• Title/Summary/Keyword: Information portal

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A study on cabbage wholesale price forecasting model using unstructured agricultural meteorological data (비정형 농업기상자료를 활용한 배추 도매가격 예측모형 연구)

  • Jang, SooHee;Chun, Heuiju;Cho, Inho;Kim, DongHwan
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.3
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    • pp.617-624
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    • 2017
  • The production of cabbage, which is mainly cultivated in open field, varies greatly depending on weather conditions, and the price fluctuation is largely due to the presence of a substitute crop. Previous studies predicted the production of cabbage using actual weather data, but in this study, we predicted the wholesale price using unstructured agricultural meteorological data on the web. From January 2009 to October 2016, we collected documents including the cabbage on the portal site, and extracted keywords related to weather in the collected documents. We compared the forecast wholesale prices of simple models and unstructured agricultural weather models at the time of shipment. The simple model is AR model using only wholesale price, and the unstructured agricultural weather model is AR model using unstructured agricultural weather data additionally. As a result, the performance of unstructured agricultural weather model was has been found to be more accurate prediction ability.

DETERMINANTS OF US CVB'S WEBSITE SERVICE QUALITY (미국 컨벤션뷰로의 웹사이트 서비스 품질결정요인)

  • Kim, Min-Sook;Bang, Ho-Yeol
    • International Commerce and Information Review
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    • v.10 no.4
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    • pp.125-151
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    • 2008
  • Website service quality is widely accepted as one of the key determinants of online business success. Several studies identified key factors that determine the website service quality factors appropriate for online business environments. A convention and visitors bureau (CVB) website is a service portal that delivers information online about a destination so users can develop an overall image of the location. CVBs struggle to deliver positive destination images because the competition among destinations to host conventions is intense. In spite of the important role of CVBs and the beneficial spillover effect of CVBs, there are few studies available reporting on the unique service qualities of a CVB website. The primary purpose of this study was to examine the determining factors that are appropriate for CVB websites from the meeting planners' perspective. The research questions arc: What are the determining factors of service quality of a CVB website? Do the determining factors of CVB website service quality positively influence meeting planners' satisfaction? The new conceptual framework was developed from a variety of destination marketing and Internet marketing concepts: e-servicescape management, web community network, Internet service encounter management, and online system quality. Empirical results indicate that three of the four factors, that is, e-servicescape, web community network, and online system quality are important determinants in evaluating CVB website service quality. The findings also show that three determinants have significant and positive influence on meeting planners' satisfaction. The findings from this study will provide meaningful advice for CVB website quality management. To enhance the CVB website service quality and satisfaction level of meeting planners, these three determinants' should be considered of the utmost strategic importance and priority.

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Impact of Characteristics of Fashion On-line Community on the Community Commitment and Brand Loyalty (패션 온라인 커뮤니티 특성이 커뮤니티 몰입과 브랜드 충성도에 미치는 영향에 관한 연구)

  • Ko Eun-Ju;Kwon Joon-Hee
    • Journal of the Korean Society of Clothing and Textiles
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    • v.30 no.4 s.152
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    • pp.644-654
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    • 2006
  • The purpose of this study is 1) to analyze the clothing purchasing behavior according to gender 2) to analyze the characteristics provided by the fashion on-line community, 3) to analyze the effects of the fashion on-line community characteristics to community commitment and brand loyalty. As for data collection, on-line survey was conducted for the fashion online community members in 'daum' portal site and total 404 volumes were used for the study analysis. Data were analyzed by descriptive statistics, $x^2-test$, factor analysis, regression analysis by utilizing the SPSS 10.0 program. The results of this study were as follow: First, it was found that characteristics of fashion on-line community are three factors of 'interactivity', 'information provision' and 'interest provision'. Second, as the analysis result of the effects of the fashion on-line community characteristics to the community commitment and brand loyalty, the more 'interactivity' and 'interest provision', the higher 'behavioral commitment' and at this time brand loyalty was high. The higher 'interactivity', 'interest provision' and 'information provision', the higher attitudinal commitment and brand loyalty. In addition, the more 'information provision' and 'interest provision' were, the more it positively influenced brand loyalty. It is considered that this study will help fashion enterprises establish an on-line community strategy to induce brand loyalty by analyzing the community utilization pattern of fashion on-line community members.

Same music file recognition method by using similarity measurement among music feature data (음악 특징점간의 유사도 측정을 이용한 동일음원 인식 방법)

  • Sung, Bo-Kyung;Chung, Myoung-Beom;Ko, Il-Ju
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.3
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    • pp.99-106
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    • 2008
  • Recently, digital music retrieval is using in many fields (Web portal. audio service site etc). In existing fields, Meta data of music are used for digital music retrieval. If Meta data are not right or do not exist, it is hard to get high accurate retrieval result. Contents based information retrieval that use music itself are researched for solving upper problem. In this paper, we propose Same music recognition method using similarity measurement. Feature data of digital music are extracted from waveform of music using Simplified MFCC (Mel Frequency Cepstral Coefficient). Similarity between digital music files are measured using DTW (Dynamic time Warping) that are used in Vision and Speech recognition fields. We success all of 500 times experiment in randomly collected 1000 songs from same genre for preying of proposed same music recognition method. 500 digital music were made by mixing different compressing codec and bit-rate from 60 digital audios. We ploved that similarity measurement using DTW can recognize same music.

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A Study on the Improvement of Accessibility to Public Records: Based on the Construction of Subject Thesaurus for Presidential Archives (공공기록에 대한 접근성 제고 방안에 관한 연구 - 대통령기록관 주제시소러스 개발 사례를 중심으로 -)

  • Rieh, Hae-Young;Kwon, Yongchan;Seong, Hyojoo;Yoo, Byonghoo
    • Journal of Korean Society of Archives and Records Management
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    • v.14 no.4
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    • pp.127-151
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    • 2014
  • To search based on the functional classification or provenance is not easy for users, and the key word-based information retrieval presents only simple words matching with the title of the records. The Presidential Archive of Korea developed a subject classification scheme to improve the convenience of searching for various records and came up with a subject thesaurus based on the scheme that utilizes the terms appearing on the title of the records and the terms used by the users who searched the portal or requested information disclosure. This research presents the development process of subject thesaurus. It also presents the utilization methods for records management work and services.

Efficient Construction of Large Scale Grade of Services Steiner Tree Using Space Locality and Polynomial-Time Approximation Scheme (공간 지역성과 PTAS를 활용한 대형 GOSST의 효과적 구성)

  • Kim, In-Bum
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.11
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    • pp.153-161
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    • 2011
  • As the problem of GOSST building belongs to NP compete domain, heuristics for the problem ask for immense amount execution time and computations in large scale inputs. In this paper, we propose an efficient mechanism for GOSST construction using space locality PTAS. For 40,000 input nodes with maximum weight 100, the proposed space locality PTAS GOSST with 16 unit areas can reduce about 4.00% of connection cost and 89.26% of execution time less than weighted minimum spanning tree method. Though the proposed method increases 0.03% of connection cost more, but cuts down 96.39% of execution time less than approximate GOSST method (SGOSST) without PTAS. Therefore the proposed space locality PTAS GOSST mechanism can work moderately well to many useful applications where a greate number of weighted inputs should be connected in short time with approximate minimum connection cost.

A Successful Example of the PMIS to Dongnam Distribution Complex Project using TPMS(Total Project Management System) of the GS E&C (GS건설 TPMS를 통한 동남권유통단지 이주전문상가 현장 PMIS 성공사례)

  • Lee, Heung-Won;Park, Chan-Jeong
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2007.11a
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    • pp.129-134
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    • 2007
  • In 1996, GS E&C became the first in the industry to adopt a Project Management System using EVM(Earned Value Management) to link schedule with profit/loss. In 2006, the TPMS(Total Project Management System) was completed by adding the concept of Lean Construction and JIT(Just In Time) to the Project Management System. This was done with the purpose of reducing waste and creating optimal work processes. This has been implemented on all sites and has enabled drastic increase of productivity. The portal provides customized information to the client, inspector and subcontractor personnel. Since various parties are receiving information that suits their requirements and is easy to use, usage has increased and since they are on the same platform, quick decisions and information sharing is possible. The purpose of the PMIS's success model in construction projects, this paper tests and proves the TPMS's efficiency and productivity to Dongnam Distribution Complex project.

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The Analysis of Contents and Evaluation on the Interior Design in Web-sites (인테리어 디자인 관련 웹 사이트의 내용분석 및 평가에 관한 연구)

  • 박현옥;이한나
    • Korean Institute of Interior Design Journal
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    • no.37
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    • pp.129-135
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    • 2003
  • Currently, obtaining information about the interior design studies through the internet web sites is one of the outstanding mediums. Those are of the housings, architecture, interior design, furniture products, hotels and its journals, etc., and out of all those informations are the highly expected value of use. This study focuses on web-site uses in the interior designs' business. To process the study, a two-step research was executed; The step 1 was to find out the current status of web-sites by asking the each panelist to submit the monitored results after having searched and tested for more than two sites that was executed during the October, 2001. The analysis was made with the 47 sample sites selected from the monitored sites. And the step 2 was to find out the contents and evaluation factors of web-sites related the interior design. The results of the study are summarized as follows: First, the monitored Intoner design related 25 web-sites were classified into 3 groups. One group of 13 sites is identified as a remodeling/construction works, and one another with 7 sites is as shopping site, and the other with 5 sites is as a professional portal site. Second, the evaluation has been implemented which has shown 5 variables on the information searches are $\circled1$ the diversities of contents, $\circled2$ the accuracy/reliability of techniques, $\circled3$ the design of a picture and communication, $\circled4$ the convenience of link, and $\circled5$ the originality of web-site This study will provide the users with a fundamental material in evaluating the quality of interior design information on the internet web sites.

Analyzing Media Bias in News Articles Using RNN and CNN (순환 신경망과 합성곱 신경망을 이용한 뉴스 기사 편향도 분석)

  • Oh, Seungbin;Kim, Hyunmin;Kim, Seungjae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.8
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    • pp.999-1005
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    • 2020
  • While search portals' 'Portal News' account for the largest portion of aggregated news outlet, its neutrality as an outlet is questionable. This is because news aggregation may lead to prejudiced information consumption by recommending biased news articles. In this paper we introduce a new method of measuring political bias of news articles by using deep learning. It can provide its readers with insights on critical thinking. For this method, we build the dataset for deep learning by analyzing articles' bias from keywords, sourced from the National Assembly proceedings, and assigning bias to said keywords. Based on these data, news article bias is calculated by applying deep learning with a combination of Convolution Neural Network and Recurrent Neural Network. Using this method, 95.6% of sentences are correctly distinguished as either conservative or progressive-biased; on the entire article, the accuracy is 46.0%. This enables analyzing any articles' bias between conservative and progressive unlike previous methods that were limited on article subjects.

Analysis of Dental Hygienist Job Recognition Using Text Mining

  • Kim, Bo-Ra;Ahn, Eunsuk;Hwang, Soo-Jeong;Jeong, Soon-Jeong;Kim, Sun-Mi;Han, Ji-Hyoung
    • Journal of dental hygiene science
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    • v.21 no.1
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    • pp.70-78
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    • 2021
  • Background: The aim of this study was to analyze the public demand for information about the job of dental hygienists by mining text data collected from the online Q & A section on an Internet portal site. Methods: Text data were collected from inquiries that were posted on the Naver Q & A section from January 2003 to July 2020 using "dental hygienist job recognition," "role recognition," "medical assistance," and "scaling" as search keywords. Text mining techniques were used to identify significant Korean words and their frequency of occurrence. In addition, the association between words was analyzed. Results: A total of 10,753 Korean words related to the job of dental hygienists were extracted from the text data. "Chi-lyo (treatment)," "chigwa (dental clinic)," "ske-illing (scaling)," "itmom (gum)," and "chia (tooth)" were the five most frequently used words. The words were classified into the following areas of job of the dental hygienist: periodontal disease treatment and prevention, medical assistance, patient care and consultation, and others. Among these areas, the number of words related to medical assistance was the largest, with sixty-six association rules found between the words, and "chi-lyo," "chigwa," and "ske-illing" as core words. Conclusion: The public demand for information about the job of dental hygienists was mainly related to "chi-lyo," "chigwa," and "ske-illing" as core words, demonstrating that scaling is recognized by the public as the job of a dental hygienist. However, the high demand for information related to treatment and medical assistance in the context of dental hygienists indicates that the job of dental hygienists is recognized by the public as being more focused on medical assistance than preventive dental care that are provided with job autonomy.