• Journal of the Korean Society for Library and Information Science
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• v.36 no.1
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• pp.165-186
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• 2002

The collection management paradigm has drastically changed since the emergence of collection management activities on the internet. Due to the technological development of web, web has become the newly open field as a useful tool to facilitate collection management transactions. The purpose of this study is, by evaluating web sites of the university library’s collection management in United States, to construct the contents of collection management web site. To fulfill the purpose, 6 categories for the contents of the collection management web site are suggested. The result of this study can be used as the basic data for researching of collection management web site. Web site is playing a role of stepping up its activities and informing useful information on its selection tool and collection development policy.

• Journal of Home Health Care Nursing
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• v.26 no.2
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• pp.133-144
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• 2019

Purpose: This study was conducted to verify the effectiveness of a cost management education program, focusing on the differences between a web-based group and a mobile-based group. Method: This was a quasi-experimental study using a two-group pretest-posttest design. Participants were 74 nurses in a web-based group and 69 nurses in a mobile-based group. Data were collected between January 2 and February 10. The cost management education program was configured such that the participants studied eight modules over four weeks. The after-program post-test was conducted for one week. Results: Both the web-based group and the mobile-based group showed significantly higher values for cost management knowledge (S=5.98, p<.001 and S=2.76, p=.006, respectively). The web-based group had statistically significantly higher values for cost management knowledge (S=4,461.50, p<.001) than the mobile group. Conclusion: The cost management education program showed improvement in knowledge in both the web-based and mobile-based groups; however, the web-based approach was more effective for nurses. A cost management education program which can be implemented effectively across all range of nurses is recommended.

• Korean Journal of Computational Design and Engineering
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• v.5 no.3
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• pp.232-241
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• 2000

Even though we have greater chances to accomplish successful collaborative design by utilizing recent proliferation of networks, current practices do not fully take advantage of the information infrastructure. There are so much data over the networks, but not enough knowledge about the data is available to users. The main objectives of the product data interface system proposed in this paper are to capture more knowledge on managing product data and to provide users effective search capability. We define the metadata model for product data defined in STEP AP 203 and manage the metadata from product data in a repository system. Because we utilize the standard formats such as STEP for product data and RDF for metadata, the proposed approach can be applied to various fields of industries independently on commercial products.

• The Journal of Korean Academic Society of Nursing Education
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• v.12 no.1
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• pp.86-94
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• 2006

Purpose: The purpose of this study is to identify the nursing student's e-Learning status. Method: The 48 nursing students were subject to this study. They were introduced to use 'understanding of ABGA' site. And the web log data was analysed. Result: General learning status in nursing education, difference of learning status in each learning type, and 'quiz' area learning status were analysed to see the nursing student's e-Learning status. The result of study showed that the participants didn't get learning that site designer had in mind to give them. Conclusion: It is important to figure out students' actual learning behaviors and reactions of feedbacks. Also, web log data could provide useful data that affect student's behaviors. Based on this study result, the following is suggested. The way to give them effective learning should be considered by the instructor who knows the unsincere type students through web log data.

• The KIPS Transactions:PartD
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• v.14D no.6
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• pp.701-706
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• 2007

Datawebhouse consists of both web log analysis used for customer management and datawarehouse used for decision support. However, datawebhouse needs complex operations for management in order to transform and integrate data from heterogeneous data sources and distributed systems. We propose a metadata schema in order to enable data integration and data management which are essential in datawebhouse environments. We show that our proposed schema supports datawebhouse development and enables integrated asset management of business information. With ETL metadata for web log extract, we can improve the data processing time of web log.

• Agribusiness and Information Management
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• v.3 no.1
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• pp.11-22
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• 2011

This study describes the development of a web-based system that collects all data generated in the research conducted to set pre-harvest residue limits (PHRLs) for agricultural product safety control. These data, including concentrations of pesticide residues, limit of detection, limit of quantitation, recoveries, weather charts, and growth rates, are incorporated into a database, a regression analysis of the data is performed using statistical techniques, and the PHRL for an agricultural product is automatically computed. The development and establishment of this system increased the efficiency and improved the reliability of the research in this area by standardizing the data and maintaining its accuracy without temporal or spatial limitations. The system permits automatic computation of the PHRL and a quick review of the goodness of fit of the regression model. By building and analyzing a database, it also allows data accumulated over the last 10 years to be utilized.

• Journal of information and communication convergence engineering
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• v.9 no.4
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• pp.452-456
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• 2011

Context-awareness system can provide an optimized services to users. Analyzing physical and complex circumstance elements which give direct or indirect influence to users can tell what users want. However, there are various situation informations around users and it requires high level technology to extract the service what users really want among those informations. The circumstance of the user can be changed from moment to moment, even the service what users want also can be changed in every minutes. Recently the researches to provide the service which a user demands has been progressed actively. Web based filtering method which reaches commercialization is a one of good examples. This method extracts necessary data according to users' demands from the documents on the Web or multimedia informations. However, there is a limit to use it to provide Context-awareness service because it extracts static data, not dynamic data. There is also other researches with a rule based filtering method in progress to filter situation information but this method doesn't have mechanism for dynamic data as well. We would like to solve these problems by providing a dynamic situation information filtering mechanism applying an weighted value about each property of objects and also applying Web based dynamic categories in this paper when unnecessary data should be filtered.

• Journal of Information Science Theory and Practice
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• v.8 no.1
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• pp.45-55
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• 2020

The purpose of this work was to study library website users' actions by tracking their behavior, determining popular content, and identifying browsing patterns and subsequent improvement of access to popular content. The study of behavior models and the use of web analytics has led to the emergence of solutions that improve the usability and functionality of the State Public Scientific-Technological Library of the Siberian Branch of the Russian Academy of Sciences (SPSTL SB RAS) website. These are: identifying user tasks as they are developed, conducting user testing to better understand the event. tracking data and collecting additional data to verify the effectiveness of the changes made. Examining data on the duration of the session and the number of visits will help determine the goals of user visits and develop new recommendations. Usability analysis and testing will make it possible to compare the data obtained using web analytics and the perception of the library site by the users themselves. Recommendations are offered to libraries on the use of data on the real behavior of the target audience of the library website to improve access to library resources and services, increase their relevance and improve information services.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.6
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• pp.11-19
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• 2018

Recently, many companies offer various web-based map that is based on GIS(Geographic Information System) information. Google Map, Open street, Bing Map, Naver Map, Daum Map, Vwolrd Map, etc are the few examples of such system. In this paper, we propose a method to visualize ocean forecasting model data considering the flow diagram of tidal current, streamline expression algorithm, and user convenience by using vector field data information that is currently being served. It is confirmed that the proposed method of the flow diagram of tidal current, and stream line expression algorithm is faster than that of conventional ocean prediction model data by more than 2 times.

• Journal of Digital Convergence
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• v.16 no.9
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• pp.147-157
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• 2018

Since Google launched a prediction service for influenza-like illness(ILI), studies on ILI prediction based on web search data have proliferated worldwide. In this regard, this study aims to build short-term predictive models for ILI in Korea using ILI and web search data and measure the performance of the said models. In these proposed ILI predictive models specific to Korea, ILI surveillance data of Korea CDC and Korean web search data of Google and Naver were used along with the ARIMA model. Model 1 used only ILI data. Models 2 and 3 added Google and Naver search data to the data of Model 1, respectively. Model 4 included a common query used in Models 2 and 3 in addition to the data used in Model 1. In the training period, the goodness of fit of all predictive models was higher than 95% ($R^2$). In predictive periods 1 and 2, Model 1 yielded the best predictions (99.98% and 96.94%, respectively). Models 3(a), 4(b), and 4(c) achieved stable predictability higher than 90% in all predictive periods, but their performances were not better than that of Model 1. The proposed models that yielded accurate and stable predictions can be applied to early warning systems for the influenza pandemic in Korea, with supplementary studies on improving their performance.