• Fashion & Textile Research Journal
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• v.14 no.5
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• pp.778-790
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• 2012

This research categorizes and analyzes different online fashion store studies conducted over the past 10 years based on study type. The results are as follows. First, it was found that 116 studies out of 118 studies on online fashion stores conducted from 2000 to 2012 were based on PC web. Second, the studies on PC web-based fashion stores were reclassified into 9 different categories based on their topics: purchase behavior, word-of-mouth behavior, website, and product information presentation as well as products for sale, return behavior, customer service, system, present condition, marketing strategy, and promotions. However, mobile web-based studies were categorized into 2 categories of introduction of the fashion stores and purchase behavior. Third, we reclassified the studies chronologically to observe studies conducted at different times. In the early phase (in addition to studies on purchase behavior) studies on present condition, marketing strategy, and website constituted the majority of studies conducted because the field research was just starting to grow; however, studies conducted in the latter phase showed new patterns of study, such as word-of-mouth effect, and return behavior. Future studies conducted on competitive PC web-based fashion stores require a more specific classification of studies (according to their purpose) to develop an effective marketing strategy.

• Economic and Environmental Geology
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• v.56 no.1
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• pp.65-73
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• 2023

As one of the most vulnerable countries to floods, there should be an increased necessity for accurate and reliable flood forecasting in Indonesia. Therefore, a new prediction model using a machine learning algorithm is proposed to provide daily flood prediction in Indonesia. Data crawling was conducted to obtain daily rainfall, streamflow, land cover, and flood data from 2008 to 2021. The model was built using a Random Forest (RF) algorithm for classification to predict future floods by inputting three days of rainfall rate, forest ratio, and stream flow. The accuracy, specificity, precision, recall, and F1-score on the test dataset using the RF algorithm are approximately 94.93%, 68.24%, 94.34%, 99.97%, and 97.08%, respectively. Moreover, the AUC (Area Under the Curve) of the ROC (Receiver Operating Characteristics) curve results in 71%. The objective of this research is providing a model that predicts flood events accurately in Indonesian regions 3 months prior the day of flood. As a trial, we used the month of June 2022 and the model predicted the flood events accurately. The result of prediction is then published to the website as a warning system as a form of flood mitigation.

• Journal of the Korean association of regional geographers
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• v.16 no.4
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• pp.428-439
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• 2010

Map of geographical names can give us information for understanding of region because geographical name reflects regional perception of human. This study aimed to make an web-based map by constructing database of geographical names. Main contents carried out research on methods for classification of geographical names, database construction, and mapping on the website. Geographical name classified into four categories of the physical geography, culture and historical geography, economic geography, and the other and also, 18 sub-categories by classification criteria. Geographical name designed to input by collecting geographical names from paper-based maps and vernacular place names only known to the local region. Fields of database consisted of address, coordinates, geographical name(hangeul, hanja), classification, explanation, photographs. Map of geographical names can be represented with regional geographical information. The result of research is expected to offer information for distribution of geographical names as well as regional interpretation.

• Imaging Science in Dentistry
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• v.43 no.2
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• pp.99-104
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• 2013

Purpose: This study was performed to investigate the clinical usefulness of teleradiology in general dental practice. Materials and Methods: Two hundred and seventy five cases were submitted for inquiry to the case presentation board of the website of The Korean Academy of Oral and Maxillofacial Radiology for a 5 year periods. The diagnosis results of those cases were analyzed according to the disease classification, the correlation with the patient's chief complaint, the necessity of additional examinations or treatments, the image modalities, and the number of dentists inquiring. Results: Differential diagnoses of normal anatomic structures were the most frequently submitted cases, covering 15.6% of all cases. Among 275 cases, 164 cases required no additional treatments or examinations. Panoramic radiographs were the most frequently submitted images, accounting for 248 inquiries. The 275 cases were submitted by 96 dentists. Fifty-two dentists wrote one inquiry, and 44 inquired 2 or more times. The average inquiry number of the latter group was 5.0 cases. Conclusion: A teleradiology system in general dental practice could be helpful in the differential diagnosis of common lesions and reduce unnecessary costs.

• The Journal of Information Systems
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• v.11 no.1
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• pp.129-149
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• 2002

Contents are the critical factors for website success. It is important to give the right information to each customer. For this, not only systematic classification but also management of contents is necessary. With regard In the former, some studies are found, but not for the latter. This paper proposes some methods of efficient contents management, which include customized service, push service of technology information, and real-time offering service. For each of them, the process of management is defined focusing on the B2B under make-to-order environment. The methodology is applied to the case of a marine engine manufacturing company.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2013.05a
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• pp.164-165
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• 2013

Currently, the process of selecting products such as construction materials and equipment in the design phase proceeds based on the reuse of products used in the previous projects or samples from design companies as well as information on the limited products provided from the website of several manufactures. In particular, it is urgently required to formulate a standard product information management system that can be utilized in the BIM-based design environment these days. In Korea, domestic construction information classification system was developed, but its utilization has been underestimated since continuous studies on the practical usability are still lacking. Therefore, this paper derived problem of domestic construction materials information system by comparing with abroad material information system. Issues and implication is derived in terms of (1) Input information (2) Provide information, and (3) Utilize Information.

• Journal of Information Technology Applications and Management
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• v.13 no.2
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• pp.55-65
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• 2006

Since the World-Wide Web (WWW) has become a major channel for information delivery, information overload also has become a serious problem to the Internet users. Therefore, effective information searching is critical to the success of Internet services. We present an integrated search engine for searching relevant web pages on the WWW in a certain Internet domain. It supports a local search on the web sites. The spider obtains all of the web pages from the web sites through web links. It operates autonomously without any human supervision. We developed state transition diagram to control navigation and analyze link structure of each web site. We have implemented an integrated local search engine and it shows that a higher satisfaction is obtained. From the user evaluation, we also find that higher precision is obtained.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.601-603
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• 2004

인터넷은 유익하고 건전한 정보의 유통이 대부분이지만 최근에는 익명성과 상업성으로 인해 유해 정보가 급속하게 늘어나고 있는 추세이다. 이러한 부정적인 영향으로부터 청소년들과 어린이들을 보호하기 위하여, 본 논문은 유해사이트 분류를 자동으로 할 수 있는 시스템을 제안한다. 기존의 유해사이트 구축은 검색 요원들이 유해사이트를 돌아다니며 일일이 데이터를 수집하여 분류하거나 유해사이트의 내용 중에 텍스트만을 추출하여 패턴 매칭 방법으로 분류하는 것이 대부분이었지만, 본 논문은 기존 방법의 문제점을 해결하기 위하여 형태소 분석을 이용한 사이트의 유해도 측정과 Skin-Color 분포의 분석 결과를 병합하여 95% 이상의 정확도(Precision) 성능을 보이며. 신뢰도가 높은 유해사이트 자동 분류 시스템을 구현할 수 있다는 것을 증명하였다.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.32 no.3
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• pp.265-284
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• 2021

This study is to present improvement plans by examining how Korean literature house websites provide information services. Seventy-nine Korean literature houses out of eighty-eight members of the Korean Literature House Association were studied, except nine that did not construct websites. Three core elements, including website style, literary works information and writer information, together with thirteen sub-elements, were derived from precedent studies. As a result, it was found that 90% of the literature houses were operating websites, but the classification criteria for the literary works and cataloguing rules were not unified, and literature information was not provided sufficiently. Thus, this study suggested improvement plans such as support to build a website, developing cataloging guidelines for literature houses, providing more full-text literature and providing information about literary works and writer.

• Journal of Korean Institute of Industrial Engineers
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• v.40 no.1
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• pp.8-17
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• 2014

In this research, we employed various data mining techniques to build predictive models for win-loss prediction in Korean professional baseball games. The historical data containing information about players and teams was obtained from the official materials that are provided by the KBO website. Using the collected raw data, we additionally prepared two more types of dataset, which are in ratio and binary format respectively. Dividing away-team's records by the records of the corresponding home-team generated the ratio dataset, while the binary dataset was obtained by comparing the record values. We applied seven classification techniques to three (raw, ratio, and binary) datasets. The employed data mining techniques are decision tree, random forest, logistic regression, neural network, support vector machine, linear discriminant analysis, and quadratic discriminant analysis. Among 21(= 3 datasets${\times}$7 techniques) prediction scenarios, the most accurate model was obtained from the random forest technique based on the binary dataset, which prediction accuracy was 84.14%. It was also observed that using the ratio and the binary dataset helped to build better prediction models than using the raw data. From the capability of variable selection in decision tree, random forest, and stepwise logistic regression, we found that annual salary, earned run, strikeout, pitcher's winning percentage, and four balls are important winning factors of a game. This research is distinct from existing studies in that we used three different types of data and various data mining techniques for win-loss prediction in Korean professional baseball games.