• Steel and Composite Structures
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• v.52 no.2
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• pp.237-248
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• 2024

In order to make the dynamic analysis and design of improved composite beam with corrugated steel web (CBGSCC) bridge more efficient and economical, the parametric self-cyclic analysis model (SCAM) was written in Python on Anaconda platform. The SCAM can call ABAQUS finite element software to realize automatic modeling and dynamic analysis. For the CBGSCC bridge, parameters were set according to the general value range of CBGSCC bridge parameters in actual engineering, the SCAM was used to calculate the large sample model generated by parameter coupling, the optimal value range of each parameter was determined, and the sensitivity of the parameters was analyzed. The number of diaphragms effects weakly on the dynamic characteristics. The deck thickness has the greatest influence on frequency, which decreases as the deck thickness increases, and the deck thickness should be 20-25 cm. The vibration frequency increases with the increase of the bottom plate thickness, the web thickness, and the web height, the bottom plate thickness should be 17-23mm, the web thickness should be 13-17 mm, and the web height should be 1.65-1.7 5 m. Web inclination and Skew Angle should not exceed 30°, and the number of diaphragms should be 3-5 pieces. This method can be used as a new method for structural dynamic analysis, and the importance degree and optimal value range of each parameter of CBGSCC bridge can be used as a reference in the design process.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2009.06a
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• pp.803-804
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• 2009

• Proceedings of the Korean Information Science Society Conference
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• 1998.10b
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• pp.620-622
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• 1998

Web 기반 시스템 구축시 저렴한 구축비용, 표준화된 문서환경, 클라이언트를 통일하지 않고도 어플리케이션의 구현이 가능한 장점 때문에 인터넷 프로토콜인 TCP/IP와 HTTP를 기반으로 시스템을 구축하려는 기업과 조직이 늘고 있다. 본 논문에서는 web 환경에서 시스템 구축시 적용할 수 잇는 web 기반 시스템 분석/설계 모형을 제안한다. 기존의 web 어플리케이션 개발 방법들이 데이터 분석에 기초를 둔 것과는 달리, 기업과 조직이 가지는 기능을 중심으로 web 어플리케이션을 분석하고, 파악된 기능에서 pageflow를 설계하여 사용자의 요구사항과 조직의 처리가 반영된 page와 네비게이션 경로(navigation path)를 설계할 수 있는 모형을 제시한다.

• The Journal of the Korea Contents Association
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• v.13 no.12
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• pp.575-584
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• 2013

Data types used for big-data analysis are very widely, such as news, blog, SNS, papers, patents, sensed data, and etc. Particularly, the utilization of web documents offering reliable data in real time is increasing gradually. And web crawlers that collect web documents automatically have grown in importance because big-data is being used in many different fields and web data are growing exponentially every year. However, existing web crawlers can't collect whole web documents in a web site because existing web crawlers collect web documents with only URLs included in web documents collected in some web sites. Also, existing web crawlers can collect web documents collected by other web crawlers already because information about web documents collected in each web crawler isn't efficiently managed between web crawlers. Therefore, this paper proposed a distributed web crawler. To resolve the problems of existing web crawler, the proposed web crawler collects web documents by RSS of each web site and Google search API. And the web crawler provides fast crawling performance by a client-server model based on RMI and NIO that minimize network traffic. Furthermore, the web crawler extracts core content from a web document by a keyword similarity comparison on tags included in a web documents. Finally, to verify the superiority of our web crawler, we compare our web crawler with existing web crawlers in various experiments.

• The Journal of Korean Association of Computer Education
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• v.6 no.1
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• pp.41-54
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• 2003

Educational web sites are proliferating at an astonishing rate, however many of those web sites are of poor or unknown quality. Educators are in need of instruments to assist in evaluating educational web sites for authenticity, applicability, authorship, bias, and usability, etc. The ability to critically evaluate educational content form numerous web sites is an important skill in this information age. In this paper, indicators of educational web site quality have been identified from literature review and our own research, and classified within 8 categories. To test the relative contribution of each indicator to the satisfaction level from using educational web sites, a questionnaire survey was administered. Subjects were asked to visit the educational web site of his or her choice and rate the quality level of each indicator. 255 completed questionnaires were turned in for analysis. Cronbach's Alpha test and factor analysis were applied to test the reliability and validity of the data. Stepwise regression analysis was applied to test the relationship between the satisfaction level and 14 independent factors. Implications from the statistical analysis as well as the guidelines for evaluating educational web sites were provided.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.1
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• pp.141-148
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• 2015

This paper proposes the BDAS(Big Data analysis Scheme) design that extracts the real time shared information from SNS and Web, analyzes the extracted data rapidly for customers, and makes an on-line marketing strategy efficiently. First, the BDAS collects the data shared in SNS and Web. Second, it provides the result of visualization by analyzing the semantics of the collected data as positive or negative. Therefore, because the BDAS ensures an average 90% accuracy in judging the semantics about the shared SNA and Web data, it can judge customer's propensity accurately and be used for on-line marketing strategy efficiently.

• Journal of the Health Care and Life Science
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• v.8 no.2
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• pp.105-111
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• 2020

This study analyzed NCS-enabled Web services at colleges. The search scope was based on the NCS Support Center, etc. of the two domestic and one overseas portal sites. Support for the NCS Support Center web service from 12 Junior Colleges was analyzed after the search. There were three categories of NCS-enabled Web services. First, NCS-enabled service status analysis, second, NCS-enabled project status analysis, and third, junior college-specific differentiated NCS-enabled web service analysis were conducted. As a result, NCS-enabled services had more quantitative web pages than NCS-enabled project status services. However, NCS-enabled project status services have been presented with more detailed and practical data than NCS-enabled services. Differentiated Web services were able to analyze what included efforts to maximize NCS Web service support for each Junior College. Based on the results of this study, we look forward to improving the quality of NCS-enabled web services for Junior College education.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.6-8
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• 2022

Web log analysis is one of the essential procedures for service improvement. ScienceON is a representative information service that provides various S&T literature and information, and we analyze its logs for continuous improvement. This study aims to analyze ScienceON web logs recorded in May 2020 and May 2021, dividing them into humans and web crawlers and performing an in-depth analysis. First, only web logs corresponding to S (search), V (detail view), and D (download) types are extracted and normalized to 658,407 and 8,727,042 records for each period. Second, using the Python 'user_agents' library, the logs are classified into humans and web crawlers, and third, the session size was set to 60 seconds, and each session is analyzed. We found that web crawlers, unlike humans, show relatively long for the average behavior pattern per session, and the behavior patterns are mainly for V patterns. As the future, the service will be improved to quickly detect and respond to web crawlers and respond to the behavioral patterns of human users.

• The Journal of Society for e-Business Studies
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• v.4 no.1
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• pp.21-36
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• 1999

Using user monitoring techniques on web, marketing decision makers in cyber shopping malls can gather customer behavior data as well as sales transaction data and customer profiles. In this paper, we present a marketing rule extraction technique for customer behavior analysis in cyber shopping malls, The technique is an application of market basket analysis which is a representative data mining technique for extracting association rules. The market basket analysis technique is applied on a customer behavior log table, which provide association rules about web pages in a cyber shopping mall. The extracted association rules can be used for mall layout design, product packaging, web page link design, and product recommendation. A prototype cyber shopping mall with customer monitoring features and a customer behavior analysis algorithm is implemented using Java Web Server, Servlet, JDBC(Java Database Connectivity), and relational database on windows NT.

• 한국데이터정보과학회:학술대회논문집
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• 2006.11a
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• pp.167-180
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• 2006

The statistical survey and analysis is much restricted to time, space and material. The statistical survey and analysis could hardly resume. The statistical survey and analysis is very important to create various and accurate information. The statistical survey and analysis which is not a expert knowledge have many problems in productivity of information, reliability and etc. In this paper, we study the design and Implementation of web-based statistical survey and analysis consulting system which a client meet easily a statistical expert on the web.