• Proceedings of the Korea Society of Design Studies Conference
• /
• 2004.05a
• /
• pp.228-229
• /
• 2004

• The KIPS Transactions:PartD
• /
• v.10D no.2
• /
• pp.277-282
• /
• 2003

The knowledge discovery from web has been studied in many researches. There are some difficulties using web log for training data on efficient information predictive models. In this paper, we studied on the method to eliminate sparseness from web log data and to perform web user clustering. Using missing value imputation by Bayesian inference of MCMC, the sparseness of web data is removed. And web user clustering is performed using self organizing maps based on 3-D plot by principal component. Finally, using KDD Cup data, our experimental results were shown the problem solving process and the performance evaluation.

• Journal of KIISE:Databases
• /
• v.29 no.4
• /
• pp.311-320
• /
• 2002

The 'wrapper' is a module that extracts and processes information from the specified data source by the pre-composed extraction rule. 'HTML Wrapper for XML' extracts information from the web source as the form of XML document. Since composing the extraction rule is a repetitious and tedious job, it should be done as easy and fast as possible. This paper presents the method to minimize the composing job, which integrates GUI based training and scripting.

• Proceedings of the Safety Management and Science Conference
• /
• 2000.11a
• /
• pp.1-5
• /
• 2000

With the advent of the internet era, web-based virtual training system is gaining its importance in recent years. Because of the fact that the training can take place in any place and at any time, the virtual system is now replacing many of the conventional off-line classes. Hardware environments such as communication bandwidth and computer performance gets fast enough to accommodate the virtual education. Based on the observations on current virtual training system, this paper proposes three critical design rules required when developing a new virtual training system: i) With conceptual mapping, the menu hierarchy can be organized in a clear-cut manner, ii) Extensive use of multimedia tools can help students keep their attention to the lecture materials, and iii) Provision of interaction mechanisms helps students to gain their identity and motivation.

• The Journal of the Acoustical Society of Korea
• /
• v.19 no.4
• /
• pp.23-30
• /
• 2000

In this paper, the web-based speaker verification system is designed. To decide the speaker recognition algorithm applied to the web-based speaker verification system, the recognition performance and special features of the text-dependent speaker recognition algorithms(DTW, DHMM, SCHMM) are compared through the computer simulation. Using the results of computer simulation, select DHMM as speaker recognition algorithm at web-based speaker verification system because DHMM has the proper recognition performance and initial training utterance number. And by the three-tier method using the ActiveX, DCOM techniques web-based speaker verification system is designed to be operated in the distributed processing environment.

• Journal of KIISE:Software and Applications
• /
• v.31 no.8
• /
• pp.991-998
• /
• 2004

In many practical teaming problems including bioinformatics area, there is a small amount of labeled data along with a large pool of unlabeled data. Labeled examples are fairly expensive to obtain because they require human efforts. In contrast, unlabeled examples can be inexpensively gathered without an expert. A common method with unlabeled data for data classification and analysis is co-training. This method uses a small set of labeled examples to learn a classifier in two views. Then each classifier is applied to all unlabeled examples, and co-training detects the examples on which each classifier makes the most confident predictions. After some iterations, new classifiers are learned in training data and the number of labeled examples is increased. In this paper, we propose a new co-training strategy using unlabeled data. And we evaluate our method with two classifiers and two experimental data: WebKB and BIND XML data. Our experimentation shows that the proposed co-training technique effectively improves the classification accuracy when the number of labeled examples are very small.

• The Journal of the Korea Contents Association
• /
• v.13 no.9
• /
• pp.467-475
• /
• 2013

Micro-teaching is one of instructional methods to improve teaching skills whereby teachers present short sessions and receive feedbacks on their performance. In this research, we developed the web based micro-teaching system for more efficient and effective teacher training by placing videotaped session and peer feedbacks near rather than far from each other on the screen. We analyzed previous studies related to the micro-teaching system, and interviewed pre-service teachers to find some suggestions. Based on this analysis, we drew design principles and developed web based micro-teaching system, which helps teachers to plan instructional strategies, to reflect teaching skills, and to participate in peer assessment. We hope that the system will be useful to not only teacher training but also other fields such as presentation or interview skills.

• Journal of Digital Contents Society
• /
• v.12 no.4
• /
• pp.467-474
• /
• 2011

Auditory and language train for the hearing-impaired is an essential course improving conversational capability with non-deaf and accompanying the financial burden and the physical fatigue of parents or a teacher. To reduce these problems, web-based training contents have been developed. But these contents have been developed without consideration of individual difference such as various levels of residual hearing and the learning capability of hearing-impaired. Therefore, it is important that appropriate training progress for each hearing-impaired should be designed by evaluating and analyzing the personal status, residual hearing, learning capability and training achievement. This paper suggests auditory and language training service model for the hearing-impaired, which is planning and managing an auditory and learning training based on personal evaluation. In addition, this paper suggests a design method for a serious game content planing based on this service model.

• Journal of Information Technology Services
• /
• v.7 no.3
• /
• pp.159-174
• /
• 2008

The purpose of this study was to introduce a case that used web2.0 techniques to overcome the limitations of current DACUM method. For the purpose, firstly, we summarized the characteristics and limitations of current DACUM as a method to develop an occupational curriculum. The summary indicated that the results of DACUM process are likely to be influenced by the selection procedure of out-performers. In addition, current DACUM method is difficult to be adapted to big organizations, difficult to reflect rapidly changing society, and lack of qualitative review for the findings. To overcome these limitations, Seoul city designed a transformed DACUM method based on web2.0 techniques. The most outstanding features of the transformed DACUM method were web-based peer review systems to validate the findings of DACUM workshop. We concluded that the transformed DACUM method was proper to big size organizations faced with rapid changes and some organizations with special needs to establish their training systems based on the results of job analysis. Finally, we discussed several practical tips for the Seoul city's method.

• Journal of the Korean Society for information Management
• /
• v.33 no.3
• /
• pp.321-343
• /
• 2016

This study aimed to design a semi-automatic web-based pilot system 1) to build a Korean novel geo-name, 2) to update the database using automatic geo-name extraction for a scalable database, and 3) to retrieve/visualize the usage of an old geo-name on the map. In particular, the problem of extracting novel geo-names, which are currently obsolete, is difficult to solve because obtaining a corpus used for training dataset is burden. To build a corpus for training data, an admin tool, HTML crawler and parser in Python, crawled geo-names and usages from a vocabulary dictionary for Korean New Novel enough to train a named entity tagger for extracting even novel geo-names not shown up in a training corpus. By means of a training corpus and an automatic extraction tool, the geo-name database was made scalable. In addition, the system can visualize the geo-name on the map. The work of study also designed, implemented the prototype and empirically verified the validity of the pilot system. Lastly, items to be improved have also been addressed.