• Proceedings of the Korean Information Science Society Conference
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• 2006.10d
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• pp.738-741
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• 2006

기존의 웹 애플리케이션 데이터 처리 기법으로는 동일 페이지에서 데이터의 Request와 Response를 동적으로 처리할 수 없다. 단위 워크플로우를 처리하기 위해서는 Request 페이지와 Response 페이지를 구분 처리하거나 페이지를 Refresh 해야 한다. 따라서, 사용자가 증가할수록 리소스 사용 비율 및 네트워크 대역폭이 급격하게 증가하게 된다. 이러한 이유로 복잡한 대화형 웹 애플리케이션 개발 및 실시간 정보교환시스템 구축이 어렵다. 본 논문에서는 비동기 통신 방법인 AJAX(Asynchronous JavaScript And XML)기반 기술을 이용하여 기존 예약 시스템의 문제를 개선한 실시간 예약 시스템을 구축하고, 직관적이며 데이터 변동 상태를 실시간으로 제공하는 사용자 인터페이스 구축 방법을 제안한다.

• Journal of the Korean Recycled Construction Resources Institute
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• v.8 no.1
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• pp.41-48
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• 2013

Waste Stone and Waste Stone Powder are recycling some cyclic aggregate only. And the greater part of Waste Stone and Waste Stone Powder are reclaining or neglecting. To solve this problem, the government is proceeding development of cementitious scagliola using waste stone and waste stone powder. However, quality standard for cementitious scagliola using waste stone and waste stone powder has not been established. So cementitious scagliola using waste stone and waste stone powder has problem of quality assurance. Therefore in this study, developed standard for Evaluating Performance of cementitious scagliola using waste stone and waste stone powder through survey of international standard.

• Journal of Internet Computing and Services
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• v.3 no.6
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• pp.63-77
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• 2002

Recently, roost of the companies have, utilized internet with the purpose of business. According to this tendency, each company is exchanging various information and offering services of e-business through Web-Site. Contents on Web-Site are getting huge and the period of contents renewal is getting short. Consequently, each company is faced with many problems for the contents management because of specialization and fractionation of contents. A contents management system that creates, maintains and manages efficiently and conveniently contents on Web-Site toward solving these problems is very required. in this paper, we design and implement such a web contents management system. It also supports dynamic web page publication based on the XML components.

• The Bulletin of The Korean Astronomical Society
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• v.35 no.1
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• pp.84.1-84.1
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• 2010

2009 세계 천문의 해(International Year of Astronomy 2009, IYA2009) 한국조직위원회는 지난 1년간 148개 참가국의 일원으로 다양한 활동을 펼쳤다. IYA2009 활동은 강연, 별 축제와 같은 고전적인 이벤트로부터 시, 수필, 에세이, 음악, 미술, 만화, 영화, 대회, 인터넷 생중계, 플래시 동영상과 같이 새롭게 시도된 프로그램에 이르기까지 다양하게 기획, 운영되었다. 또한 우리는 시민천문대와 과학관, 미술관은 물론, 지하철, 기차역, 시청, 놀이공원, 쇼핑몰, 백화점, 병원, 그리고 경찰서에 이르기까지, 기존의 전통적인 전시공간을 벗어나 다양한 장소에서 전시회와 동영상 상영을 시도했다. 우리는 지난 1년간 90여 종의 행사를 410여 회에 걸쳐 진행했으며, 총 11,700,000여 명의 일반 시민과 학생들이 2009 세계 천문의 해에 참여한 것으로 추산하고 있다. IYA2009는 강연 200여 회, 전시 80여 회, 공연 15회, 학회 7회 등으로 요약할 수 있으며, 공식책자 4종, 도록 3종이 발간되었다. 관련 보도자료는 40 차례 배포했으며, 그 결과 2,500여 건이 언론을 통해 보도되었고, 총 248편의 연재기사가 실렸다. 2009 세계 천문의 해 한국조직위원회 공식 웹진 '이야진' 접속자는 999,890명, 총 페이지 뷰 건수는 131,963,473을 기록했다.

• The Journal of Society for e-Business Studies
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• v.23 no.4
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• pp.63-85
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• 2018

The "About Us" page on the website of a corporation provides information regarding the organization's vision, philosophy, and values. We examine the association between institutional information provided on corporate websites (i.e., the "About Us" section) with present and future financial performance. Utilizing a text mining technique, we analyze the institutional information of S&P500 firms in the year 2016. We conduct a factor analysis including words that are intentionally repeated in the introductory text of corporate websites. The results of the analysis reveal that keywords from this institutional information can be grouped into six factors. We then carry out an ordinary least squares regression analysis to determine the associations between these six factors and present financial performance. The results show that keywords in Factor 2 (those related to Purchasing experience) are positively associated with ROE, a variable representing present financial performance, while keywords in Factor 1 (those related to Note to customers) show a negative relationship with ROE. On the other hand, keywords in Factor 1 have a positive relationship with Tobin's Q, a variable representing future financial performance. These results indicate that there is some relationship between the words used in the institutional information in this section of corporate websites and firms' financial performance. Hence, the institutional information on a website may be a useful indicator of current firm performance and future firm value.

• Journal of the Korean Applied Science and Technology
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• v.37 no.3
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• pp.473-483
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• 2020

This paper proposes a tourism recommendation system in intelligent cloud environment using information of tourist behavior applied with perceived value. This proposed system applied tourist information and empirical analysis information that reflected the perceptual value of tourists in their behavior to the tourism recommendation system using wide and deep learning technology. This proposal system was applied to the tourism recommendation system by collecting and analyzing various tourist information that can be collected and analyzing the values that tourists were usually aware of and the intentions of people's behavior. It provides empirical information by analyzing and mapping the association of tourism information, perceived value and behavior to tourism platforms in various fields that have been used. In addition, the tourism recommendation system using wide and deep learning technology, which can achieve both memorization and generalization in one model by learning linear model components and neural only components together, and the method of pipeline operation was presented. As a result of applying wide and deep learning model, the recommendation system presented in this paper showed that the app subscription rate on the visiting page of the tourism-related app store increased by 3.9% compared to the control group, and the other 1% group applied a model using only the same variables and only the deep side of the neural network structure, resulting in a 1% increase in subscription rate compared to the model using only the deep side. In addition, by measuring the area (AUC) below the receiver operating characteristic curve for the dataset, offline AUC was also derived that the wide-and-deep learning model was somewhat higher, but more influential in online traffic.