• East Asian mathematical journal
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• v.34 no.4
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• pp.451-462
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• 2018

This study analyzed the learning components of the web-based adaptive math learning programs in order to develop adaptive math learning program using artificial intelligence. The components of the web-based adaptive math learning program set for analysis are classified into learning process presentation, concept learning, problem presentation, problem solving process, and learning result processing then analyzed three programs. As a result of analysis, the typical characteristic of components is that it uses a method of repeatedly presenting the same type of problem in order to learn one concept.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.4C
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• pp.262-268
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• 2005

The unit of the digital content delivery is the web object. For the improvement of the content delivery based on the web, it id required analysis of reference characteristics of the web object. In this study, we analyze reference characteristics of the web object and evaluate the performance. Using these analysis results, we propose the digital content delivery system which is improved delivery efficiency. The goal of the proposed system are the improvement of the processing time through enhancement of the caching efficiency with reflect reference characteristics of the web object. And the experiment result, we verify the performance enhancement.

• The Journal of Information Systems
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• v.18 no.3
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• pp.111-134
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• 2009

Today many owners of Web sites are looking to user's satisfaction survey as a key means of measuring the usability of a Web site. While it is preferred for it simplicity and ease of use, this survey method is not without potential risks. This paper focuses on showing that the existing practice of questionnaire-based usability measurement is subject to human recall errors, and that such flaws can be reduced when the questionnaire survey is followed by the users hands-on experience of the site. An empirical study was conducted, and the results indicate that the above speculation holds true. Even if respondents felt highly confident about their responses on a recall survey, a hands-on experience with a focal Web site increased the extent to which the respondents were satisfied with the shopping mall site. This indicates that a user's perception of the quality of a Web site may be distorted or lost as time goes by. In addition, the findings have shown that the use of the verbal protocol analysis method can reveal critical information that can help track the root causes of Web site usability problems, thereby helping to develop site enhancement strategies. The paper concludes with directions for future research.

• Journal of the Korean Society of Costume
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• v.51 no.6
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• pp.117-128
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• 2001

The purposes of this study was to investigate discriminative factors of clothing buying intention on Internet shopping mall. The sample included 435 male(44.8%) and female(55.2% ) adults, and an instrument was developed based on previous studies. The statistical analysis used for this study were factor analysis, 1-test, and LISREL. The results of factor analysis showed that consumers evaluated apparel internet shopping attributes based on perceptional dimensions of internet shopping consisted of clothing quality and value. web service quality and value, and adoption of internet shopping. Each dimension has sub-factors as follows: (1) clothing quality was perceived as 'artistry' 'sociality' and 'practicality'. (2) web interface service quality was perceived as 'visuality', 'advantage', 'response', 'dependability' and 'buying-confidence'. (3) internet shopping adoption was perceived as 'usefulness' and 'convenience'. T-test revealed that consumer's buying intention, re-entry intention, and store attitude were differed concerning all sub-factors including 'usefulness' and 'convenience' in adoption of Internet shopping dimension. As a result of LISREL, clothing buying intention path model was set up as following path. (1) 'artistry', 'sociality' and 'practicality' of clothing quality affected clothing value perception positively. (2) 'visuality', 'advantage', 'response' and 'buying-confidence' of web service quality affected web service value perception positively. (3) clothing and web service value perception affected store attitude positively. (4) store attitude affected clothing buying intention positively. However, Adoption of Internet shopping dimension that was perceived as usefulness and convenience did not affect clothing buying intention path model. Therefore, consumers buying, intention model in internet circumstance could be used nearly the same as real market circumstance.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.5
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• pp.1217-1224
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• 2015

Web application security problems are addressed by the web vulnerability analysis which in turn supports companies to understand those problems and to establish their own solutions. Ministry of Science, ICT and Future Planning (MSIP) has released its guidelines for analysis and assessment of the web vulnerability. Although it is possible to distinguish vulnerability items in a manner suggested in the MSIP's guidelines, MSIP's factors and criteria proposed in the guidelines are neither sufficient nor efficient in analyzing specific vulnerability entries' risks. This study discusses analysis of the domestic and international Vulnerability Scoring system and proposes an appropriate evaluating method for web vulnerability analysis.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.5
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• pp.563-569
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• 2012

The studies of opinion mining or sentiment analysis have been the focus with social web proliferation. Sentiment analysis requires sentiment resources to decide its polarity. In the existing sentiment analysis, they have been built resources designed with intensity of sentiment polarity and decided polarity of opinion using the ones. In this paper, I will present sentiment categories for not only polarity of opinion but also the basis of positive/negative opinion. I will define psychological emotions to primary sentiments for the reasonable classification. And I will extract the informations of sentiment from social web texts for the actual distribution of sentiments in social web. Re-classifying primary sentiments based on extracted sentiment information, I will organize sentiment categories for the social web. In this paper, I will present 23 categories of sentiment by using proposed method.

• Proceedings of the Korea Society of Design Studies Conference
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• 2004.10a
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• pp.136-137
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• 2004

• Proceedings of the Korea Contents Association Conference
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• 2004.05a
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• pp.224-228
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• 2004

Various web_based ERP(Enterprise Resource Planning) are developed as the Internet is popularized in If or non If fields. But, in many case of web development method, It is not systematic analysis method, Therefor developer have difficulties with applying the development methods for a large scale application. this approach is studied on design pattern analysis of web ERP for the rapid and efficient development method. as this approach, various design pattern of web and ERP can be used in development method of component generation.

• Knowledge Management Research
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• v.19 no.1
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• pp.119-132
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• 2018

Many advanced products and services are emerging in the market thanks to data-based technologies such as Internet (IoT), Big Data, and AI. The construction of a system for data processing under the IoT network environment is not simple in configuration, and has a lot of restrictions due to a high cost for constructing a high performance server environment. Therefore, in this paper, we will design a development environment for large data analysis computing platform using open source with low cost and practicality. Therefore, this study intends to implement a big data processing system using Raspberry Pi, an ultra-small PC environment, and open source API. This big data processing system includes building a portable server system, building a web server for web mining, developing Python IDE classes for crawling, and developing R Libraries for NLP and visualization. Through this research, we will develop a web environment that can control real-time data collection and analysis of web media in a mobile environment and present it as a curriculum for non-IT specialists.

• IE interfaces
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• v.14 no.1
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• pp.1-8
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• 2001

This paper presented a web-based virtual system to simulate forging operation. The system utilized simulation techniques of Finite Element Method (FEM) to analyze the forging process and Virtual Reality Modeling Language (VRML) to visualize the simulation results in the web. The analysis using FEM could show mechanical information such as stresses and deformation profiles of a specimen during forging process and the analysis results were transferred into virtual space using VRML. Since the forging machine and specimen were modeled using Java and VRML, the forging machine and analysis results were browsed and integrated on the web that is interfaced to users through EAI to show the whole forging simulation. The developed system realized the working environment virtually so that education and experiment could be performed effectively even on the PC.