• Title/Summary/Keyword: Web Index

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Drought Triggers and Monitoring System (가뭄 경보기준과 모니터링 시스템)

  • Lee, Dong-Ryul;Lee, Dea-Hee;Kang, Shin-Uk
    • Journal of Korea Water Resources Association
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    • v.36 no.3 s.134
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    • pp.375-384
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    • 2003
  • Severe drought tends to occur in almost event five years in Korea. Drought responses have been well operated in close collaboration with the central, local government and the water management authorities on the institutional framework. However, the responses are usually post-activities to a drought event. The responses often face difficulties in operating and managing process due to an absence of a drought monitoring system and drought triggers. The objective of this study is to set up drought triggers through a time-spatial interpretation of drought index and the government responses during historical drought events. Drought triggers are divided into four categories: advisory, watch, warning and emergency stage. The range and drought-impacted area of an each stage in triggers have been addressed using drought index. Furthermore, a web-based drought monitoring system is illustrated.

A Scalable Index for Content-based Retrieval of Large Scale Multimedia Data (대용량 멀티미디어 데이터의 내용 기반 검색을 위한 고확장 지원 색인 기법)

  • Choi, Hyun-HWa;Lee, Mi-Young;Lee, Kyu-Chul
    • Proceedings of the Korea Contents Association Conference
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    • 2009.05a
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    • pp.726-730
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    • 2009
  • The proliferation of the web and digital photography has drastically increased multimedia data and has resulted in the need of the high quality internet service based on the moving picture like user generated contents(UGC). The keyword-based search on large scale images and video collections is too expensive and requires much manual intervention. Therefore the web search engine may provide the content-based retrieval on the multimedia data for search accuracy and customer satisfaction. In this paper, we propose a novel distributed index structure based on multiple length signature files according to data distribution. In addition, we describe how our scalable index technique can be used to find the nearest neighbors in the cluster environments.

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Validity of Self-Reported Height, Weight, and Body Mass Index of the Korea Youth Risk Behavior Web-Based Survey Questionnaire

  • Bae, Ji-Suk;Joung, Hyo-Jee;Kim, Jong-Yeon;Kwon, Kyoung-Nam;Kim, Yoon-Jung;Park, Soon-Woo
    • Journal of Preventive Medicine and Public Health
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    • v.43 no.5
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    • pp.396-402
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    • 2010
  • Objectives: Self-reported anthropometric values, such as height and weight, are used to calculate body mass index (BMI) and assess the prevalence of obesity among adolescents. The aim of this study was to evaluate the validity of selfreported height, weight, and BMI of the Korea Youth Risk Behavior Web-based Survey questionnaire. Methods: A convenience sample of 137 middle school students and 242 high school students completed a selfadministered questionnaire in 2008. Body height and weight were directly measured after self-reported values were obtained from the questionnaire survey. Sensitivity, specificity, and kappa statistics were computed in order to evaluate the validity of the prevalence of obesity (BMI $\geq$ 95th percentile or $\geq$ $25;kg/$m^2$) based on self-reported data. Results: Self-reported weight and BMI tended to be underestimated. Self-reported height tended to be overestimated among middle school females and high school males. Obese adolescents tended to underestimate their weight and BMI and overestimate their height more than non-obese adolescents. The prevalence estimate of obesity based on selfreported data (10.6%) was lower than that based on directly measured data (15.3%). The estimated sensitivity of obesity based on self-reported data was 69.0% and the specificity was 100.0%. The value of kappa was 0.79 (95% confidence interval, 0.70 - 0.88). Conclusions: This study demonstrated that self-reported height and weight may lead to the underestimation of BMI and consequently the prevalence of obesity. These biases should be taken into account when self-reported data are used for monitoring the prevalence and trends of obesity among adolescents nationwide.

xPlaneb: 3-Dimensional Bitmap Index for Index Document Retrieval (xPlaneb: XML문서 검색을 위한 3차원 비트맵 인덱스)

  • 이재민;황병연
    • Journal of KIISE:Databases
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    • v.31 no.3
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    • pp.331-339
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    • 2004
  • XML has got to be a new standard for data representation and exchanging by its many good points, and the core part of many new researches and emerging technologies. However, the self-describing characteristic, which is one of XML's good points, caused the spreading of XML documents with different structures, and so the need of the research for the effective XML-document search has been proposed. This paper is for the analysis of the problem in BitCube, which is a bitmap indexing that shows high performance grounded on its fast retrieval. In addition, to resolve the problem of BitCube, we did design and implement xPlaneb(XML Plane Web) which it a new 3-dimensional bitmap indexing made of linked lists. We propose an effective information retrieval technique by replacing BitCube operations with new ones and reconstructing 3-dimensional array index of BitCube with effective nodes. Performance evaluation shows that the proposed technique is better than BitCube, as the amount of document increases, in terms of memory consumptions and operation speed.

Proposal of Content Recommend System on Insurance Company Web Site Using Collaborative Filtering (협업필터링을 활용한 보험사 웹 사이트 내의 콘텐츠 추천 시스템 제안)

  • Kang, Jiyoung;Lim, Heuiseok
    • Journal of Digital Convergence
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    • v.17 no.11
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    • pp.201-206
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    • 2019
  • While many users searched for insurance information online, there were not many cases of contents recommendation researches on insurance companies' websites. Therefore, this study proposed a page recommendation system with high possibility of preference to users by utilizing page visit history of insurance companies' websites. Data was collected by using client-side storage that occurs when using a web browser. Collaborative filtering was applied to research as a recommendation technique. As a result of experiment, we showed good performance in item-based collaborative (IBCF) based on Jaccard index using binary data which means visit or not. In the future, it will be possible to implement a content recommendation system that matches the marketing strategy when used in a company by studying recommendation technology that weights items.

Oral symptoms experienced by adolescents based on Body Mass Index (체질량지수에 따른 청소년의 구강증상 경험)

  • Kim, Young-Suk
    • Journal of the Korea Convergence Society
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    • v.12 no.3
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    • pp.317-323
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    • 2021
  • The purpose of this study was to analyze the oral symptoms experienced by adolescents according to Body Mass Index. We analyzed the data using the Korea Youth Risk Behavior Web-based Survey and conducted complex-sample descriptive statistics on 55,728 participants. The prevalence of sensitive teeth, tooth pain, gingival bleeding, and swelling was highest in the overweight group (36.8%, 23.9%, and 19.2%) and lowest in the underweight group (34.6%, 20.8%, and 17.0%) (p<0.001). Tooth pain, gingival bleeding, and swelling were significantly higher (all 1.08) in the overweight group than in the normal group. Halitosis was 1.19-and 1.43-higher in the overweight and obese groups, respectively. The relationship between systemic diseases and oral health among adolescents should be further investigated.

A Study on Intelligent Emotional Recommendation System Using Biological Information (생체정보를 이용한 지능형 감성 추천시스템에 관한 연구)

  • Kim, Tae-Yeun
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.14 no.3
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    • pp.215-222
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    • 2021
  • As the importance of human-computer interaction (Human Computer Interface) technology grows and research on HCI is progressing, it is inferred about the research emotion inference or the computer reaction according to the user's intention, not the computer reaction by the standard input of the user. Stress is an unavoidable result of modern human civilization, and it is a complex phenomenon, and depending on whether or not there is control, human activity ability can be seriously changed. In this paper, we propose an intelligent emotional recommendation system using music as a way to relieve stress after measuring heart rate variability (HRV) and acceleration photoplethymogram (APG) increased through stress as part of human-computer interaction. The differential evolution algorithm was used to extract reliable data by acquiring and recognizing the user's biometric information, that is, the stress index, and emotional inference was made through the semantic web based on the obtained stress index step by step. In addition, by searching and recommending a music list that matches the stress index and changes in emotion, an emotional recommendation system suitable for the user's biometric information was implemented as an application.

A Document Collection Method for More Accurate Search Engine (정확도 높은 검색 엔진을 위한 문서 수집 방법)

  • Ha, Eun-Yong;Gwon, Hui-Yong;Hwang, Ho-Yeong
    • The KIPS Transactions:PartA
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    • v.10A no.5
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    • pp.469-478
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    • 2003
  • Internet information search engines using web robots visit servers conneted to the Internet periodically or non-periodically. They extract and classify data collected according to their own method and construct their database, which are the basis of web information search engines. There procedure are repeated very frequently on the Web. Many search engine sites operate this processing strategically to become popular interneet portal sites which provede users ways how to information on the web. Web search engine contacts to thousands of thousands web servers and maintains its existed databases and navigates to get data about newly connected web servers. But these jobs are decided and conducted by search engines. They run web robots to collect data from web servers without knowledge on the states of web servers. Each search engine issues lots of requests and receives responses from web servers. This is one cause to increase internet traffic on the web. If each web server notify web robots about summary on its public documents and then each web robot runs collecting operations using this summary to the corresponding documents on the web servers, the unnecessary internet traffic is eliminated and also the accuracy of data on search engines will become higher. And the processing overhead concerned with web related jobs on web servers and search engines will become lower. In this paper, a monitoring system on the web server is designed and implemented, which monitors states of documents on the web server and summarizes changes of modified documents and sends the summary information to web robots which want to get documents from the web server. And an efficient web robot on the web search engine is also designed and implemented, which uses the notified summary and gets corresponding documents from the web servers and extracts index and updates its databases.

Performance Evaluation of Re-ranking and Query Expansion for Citation Metrics: Based on Citation Index Databases (인용 지표를 이용한 재순위화 및 질의 확장의 성능 평가 - 인용색인 데이터베이스를 기반으로 -)

  • HyeKyung Lee;Yong-Gu lee
    • Journal of the Korean Society for Library and Information Science
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    • v.57 no.3
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    • pp.249-277
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    • 2023
  • The purpose of this study is to explore the potential contribution of citation metrics to improving the search performance of citation index databases. To this end, the study generated ten queries in the field of library and information science and conducted experiments based on the relevance assessment using 3,467 documents retrieved from the Web of Science and 60,734 documents published in 85 SSCI journals in the field of library and information science from 2000 to 2021. The experiments included re-ranking of the top 100 search results using citation metrics and search methods, query expansion experiments using vector space model retrieval systems, and the construction of a citation-based re-ranking system. The results are as follows: 1) Re-ranking using citation metrics differed from Web of Science's performance, acting as independent metrics. 2) Combining query term frequencies and citation counts positively affected performance. 3) Query expansion generally improved performance compared to the vector space model baseline. 4) User-based query expansion outperformed system-based. 5) Combining citation counts with suitability documents affected ranking within top suitability documents.

Design and Implementation of Web GIS Server Using Node.js (Node.js를 활용한 웹GIS 서버의 설계와 구현)

  • Jun, Sang Hwan;Doh, Kyoung Tae
    • Spatial Information Research
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    • v.21 no.3
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    • pp.45-53
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    • 2013
  • Web GIS, based on the latest web-technology, has evolved to provide efficient and accurate spatial information to users. Furthermore, Web GIS Server has improved the performance constantly to respond user web requests and to offer spatial information service. This research aims to create a designed and implemented Web GIS Server that is named as Nodemap which uses the emergent technology, Node.js, which has been issued for an event-oriented, non-blocking I/O model framework for coding JavaScript on the server development. Basically, NodeMap is Web GIS Server that supports OGC implementation specification. It is designed to process GIS data by using DBMS, which supports spatial index and standard spatial query function. And NodeMap uses Node-Canvas module supported HTML5 canvas to render spatial information on tile map. Lastly, NodeMap uses Express module based connect module framework. NodaMap performance demonstration confirmed a possibility of applying Node.js as a (next/future) Web GIS Server development technology through the benchmarking. Having completed its quality test of NodeMap, this study has shown the compatibility and potential for Node.js as a Web GIS server development technology, and has shown the bright future of internet GIS service.