• The Journal of Information Technology
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• v.12 no.4
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• pp.33-37
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• 2009

This paper analyzed effects Web-Based cooperation Learning have on improvement in Social Adaptability and problematic behavior, using Web-Based cooperation Learning system that is designed for Mental retardation children. Is Made Teaching Design according to students level, based on elementary school Bareunsaenghwal subject. Teaching and Learning program that is going with flash and PPT Embodied is. Designed to bulletin the evaluation data for cooperation studying after studying a part of the lesson. Verification of learning effect went with experimental group and comparison group consisted of groups of 8. Students studied the Internet web data and Teaching material paper and they took pencil test. As a result, point of post-inspection was higher than that of pre-inspection. Web-Based cooperation Learning is confirmed to be effective on Social Adaptability and problematic behavior improvement.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.19 no.1
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• pp.182-189
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• 2005

In this paper, A web-based server system was developed based on PDA(Personal Digital Assistants) for controlling and managing light facilities on-line with wireless communication efficiently. The control box of current light facilities may be implemented based on simple operational function. The operational quality of the light facilities will be efficiently improved with some practical advantages such as reduction of required facility, manpower and time in managing the lights and control boxes by using the popular PDA.

• Korean Journal of Remote Sensing
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• v.24 no.5
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• pp.389-396
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• 2008

In these days, various kinds of web applications based on web 2.0 paradigm have been developed. In web 2.0 paradigm pursuing participation, sharing, and openness on the web-as-platform, web mapping or web GIS application are regarded as top most applications, so that web applications, handling geo-spatial contents, with user-interaction interface and search engine of high performance have been provided for both public users and expert users in the special domains. Public and industrial needs for web mapping mashup application by open API, linked with the practical web computing technologies, are gradually increasing. In this study, a user interface in mashup for geo-spatial feature generation was implemented by using mainly Google maps API. Spatial database resources in this implementation are those of Google mapping server. As the results, public users on web client can create their own geo-spatial data sets in web vector formats, without the help of any GIS tools or access to proprietary databases. It is concluded that web-based mashup application in client-side using open API can be used as an alternative for geo-browsing system or portable feature generation system.

• Journal of KIISE:Software and Applications
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• v.30 no.10
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• pp.983-991
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• 2003

The Web-based instruction on the internet provides lots of learners with the related information and knowledge beyond time and space. But in the Web-based instruction, there is a problem that the teaming process statuses for learners can be known only through an exam. This paper introduces a web monitoring method to check whether the learner has some problems in learning process and to be able to find out the students with the problems. In the method this paper proposes a learning time prediction model for predicting the proper next study time intervals based on the learner`s learning times and grades on Previous learning units. This method provides the educator with the learning Process statuses for learners. The Loaming prediction model for web-based monitoring can be used to stimulate learners to take the good teaming processes by sending automatically alerting messages if their real teaming times exceeds on his predicted learning time interval. The results of the estimation through case study on the web-based monitoring to use the teaming time prediction model show that most of on-line learners with Poor teaming process statuses get poor grades. In addition, the results show that learner`s poor habits keep going on without change.

• Journal of the Korea Society of Computer and Information
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• v.24 no.11
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• pp.51-59
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• 2019

Due to the exponential growth of access information on the web, the need for predicting web users' next access has increased. Various models such as markov models, deep neural networks, support vector machines, and fuzzy inference models were proposed to handle web access prediction. For deep learning based on neural network models, training time on large-scale web usage data is very huge. To address this problem, deep neural network models are trained on cluster of computers in parallel. In this paper, we investigated impact of several important spark parameters related to data partitions, shuffling, compression, and locality (basic spark parameters) for training Multi-Layer Perceptron model on Spark standalone cluster. Then based on the investigation, we tuned basic spark parameters for training Multi-Layer Perceptron model and used it for tuning Spark when training Multi-Layer Perceptron model for web access prediction. Through experiments, we showed the accuracy of web access prediction based on our proposed web access prediction model. In addition, we also showed performance improvement in training time based on our spark basic parameters tuning for training Multi-Layer Perceptron model over default spark parameters configuration.

• Journal of Korea Multimedia Society
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• v.11 no.11
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• pp.1601-1614
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• 2008

The number of web service users has been increased rapidly as existing services are changed into the web-based internet applications. Therefore, it is necessary for us to use web log pre-processing technique to detect attacks on diverse web service transactions and it is also possible to extract web mining information. However, existing mechanisms did not provide efficient pre-processing procedures for a huge volume of web log data. In this paper, we proposed both a field based parsing and a high-speed log indexing mechanism based on the suggested B-tree Index Vector structure for performance enhancement. In experiments, the proposed mechanism provides an efficient web log pre-processing and search functions with a session classification. Therefore it is useful to enhance web attack detection function.

• The Journal of Korean Association of Computer Education
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• v.14 no.3
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• pp.51-62
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• 2011

Navigability refers to how easy a user can find desired information in a web site and is influenced by the structure of a web site. In this paper, we created three types of Web sites, that is a Web site whose structure forms a small world, a Web site whose structure forms a semi-matroid, and a Web site based on an ontology and measured the navigability of each Web site based on two criteria (the number of hyperlinks clicked by users to find the desired information and the elapsed time for finding the desired information). The reason that we selected three structures is because hyperlinks can be created in a way that helps a user find desired information in each site. From the experiments, we found that the average number of hyperlinks which a user clicked to find out the desired information was as follows: a Web site that had semi-matroid property (100.37 hyperlinks) < a Web site that was created based on an ontology (117.63 hyperlinks) < a Web site that had small-world property (236.17 hyperlinks). In addition, we found that the average elapsed time during which a user found out the desired information was as follows: a Web site that was created based on an ontology (20 min 26 sec) < a Web site that had semi-matroid property (23 min 6 sec) < a Web site that had small-world property (30 min 47 sec). Therefore, we can consider a Web site that is created based on a semi-matroid or an ontology is relatively more navigable than a Web site that has small-world property. In this paper, we also propose a way by which our experimental results can be reflected in designing an educational Web site.

• Journal of the Korean Operations Research and Management Science Society
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• v.33 no.3
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• pp.29-42
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• 2008

Semantic Web society initially focused only on data but has gradually moved toward knowledge. Recently rule beyond ontology has emerged as a key element of the Semantic Web. All of these activities are obviously aiming at making data and knowledge on the Web sharable and reusable between various entities around the world. If one of ultimate visions of the Semantic Web is to increase human's decision making quality assisted by machines, there is a missing but important part to be shared and reused. It is knowledge about constraints on data and concepts represented by ontology which should be emphasized more. In this paper, we propose Semantic Web Constraint Language (SWCL) based on OWL and show how effective SWCL can be in representing and solving an internet shopper's decision making problem by an implementation of a shopping agent in the Semantic Web environment.

• Journal of Computing Science and Engineering
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• v.8 no.4
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• pp.181-186
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• 2014

Web data mining aims at discovering useful knowledge from various Web resources. There is a growing trend among companies, organizations, and individuals alike of gathering information through Web data mining to utilize that information in their best interest. In science, cloud computing is a synonym for distributed computing over a network; cloud computing relies on the sharing of resources to achieve coherence and economies of scale, similar to a utility over a network, and means the ability to run a program or application on many connected computers at the same time. In this paper, we propose a new system framework based on the Hadoop platform to realize the collection of useful information of Web resources. The system framework is based on the Map/Reduce programming model of cloud computing. We propose a new data mining algorithm to be used in this system framework. Finally, we prove the feasibility of this approach by simulation experiment.

• Korean Journal of Health Education and Promotion
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• v.25 no.4
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• pp.83-92
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• 2008

Objectives: This study was to develop and evaluate a web-based multimedia content for the education of hospice volunteers. Methods: The multimedia content was developed based on Baik's teaching and learning structure plan model. The developed program was evaluated by 24 hospice volunteer university students. Results: On main page, there were 4 menu bars that consisted of a lecture guide, cyber lecture, pause and quiz. In the operation of the web based multimedia content, HTML, Java Script, Photoshop and multimedia technology were utilized. There were significant differences in the test scores, before and after using this web-based learning program. After using a web-based learning program, scores of students were much higher. Conclusion: The developed web based program is based on systematic structure and it can provide hospice volunteers with the educational flexibilities and will be help for them to perform the more efficient hospice care.