• Journal of IKEEE
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• v.12 no.1
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• pp.65-74
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• 2008

One of the popular methods used for pattern classification is the MBR (Memory-Based Reasoning) algorithm. Since it simply computes distances between a test pattern and training patterns or hyperplanes stored in memory, and then assigns the class of the nearest training pattern, it is notorious for memory usage and can't learn additional information from new data. In order to overcome this problem, we propose an incremental learning algorithm (iMPA). iMPA divides the entire pattern space into fixed number partitions, and generates representatives from each partition. Also, due to the fact that it can not learn additional information from new data, we present iMPA which can learn additional information from new data and not require access to the original data, used to train. Proposed methods have been successfully shown to exhibit comparable performance to k-NN with a lot less number of patterns and better result than EACH system which implements the NGE theory using benchmark data sets from UCI Machine Learning Repository.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.6
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• pp.789-792
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• 2004

In various fields as web mining, bioinformatics, statistical data analysis, and so forth, very diversely missing values are found. These values make training data to be sparse. Largely, the missing values are replaced by predicted values using mean and mode. We can used the advanced missing value imputation methods as conditional mean, tree method, and Markov Chain Monte Carlo algorithm. But general imputation models have the property that their predictive accuracy is decreased according to increase the ratio of missing in training data. Moreover the number of available imputations is limited by increasing missing ratio. To settle this problem, we proposed statistical learning theory to preprocess for missing values. Our statistical learning theory is the support vector regression by Vapnik. The proposed method can be applied to sparsely training data. We verified the performance of our model using the data sets from UCI machine learning repository.

• Journal of Service Research and Studies
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• v.6 no.4
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• pp.47-57
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• 2016

Open source has an amazing spread with the advent of smartphones. Open-source Moodle in e-learning areas are free of LMS (Learning Management System) and the most widely used worldwide, except for the black board commercial programs. One reason is well designed to support collaborative learning and interaction based on constructivist principles, which is the core principle of e-learning in particular that the theoretical basis of educational technology has a high educational effectiveness and benefits. This study examines the operational practices of collaborative learning using open source learning management system Moodle program. It introduces specific information to support the user of the collaborative learning. It looks at the advantages and singularity of collaborative learning in e-learning through examples shown. The purpose of this study is the importance of the relationship between learners and the importance of self-learning of collaborative learning through collaborative learning in a knowledge repository of Moodle. In addition, collaborative learning outcomes are is based on the motivation of learners and playfulness.

• Journal of Internet Computing and Services
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• v.13 no.6
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• pp.55-62
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• 2012

Grid web applications by standard Web technology are increasingly used to provide grid service to users as normal Web user interface and service. It is however difficult to integrate a grid security system such as Grid Security Infrastructure (GSI) into Web applications because the delegation way of standard Web security is not the same as the one of Grid security. This can be solved by allowing Web applications to get a Grid credential by using an online credential repository system such as MyProxy. In this paper, we investigate the problem that occurs when MyProxy, which assumes mutual trust between a user and Grid web application, is adapted for achieving security integration between Web and Grid, and we propose a new Grid proxy delegation service to delegate a Grid credential to the Web without assuming mutual trust. In the service, the X.509 proxy delegation process is added to OAuth protocol for credential exchange, and authentication can be done by an external service such as OpenID. So, users can login onto the Grid web application in a single sign-on manner, and are allowed to securely delegate and retrieve multiple credentials for one or more Virtual Organizations.

• Korean Journal of Plant Tissue Culture
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• v.24 no.4
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• pp.197-201
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• 1997

Plant seed oil-bodies or oleosomes ate the repository of the neutral lipid stored in seeds. These organelles in many oilseeds may comprise half of the total cellular volume. Oleosomes are surrounded by a half-unit membrane of phospholipid into which are embedded proteins called oleosins. Oleosins are present at high density on the oil-body surface and after storage proteins comprise the most abundant proteins in oilseeds. Oleosins are specifically targeted and anchored to oil-bodies after co-translation on the ER. It has been shown that the amino-acid sequences responsible for this unique targeting reside primarily in the central hydrophobic tore of the oleosin polypeptide. In addition, a signal-like sequence is found near the junction of the hydrophobic domain and ann N-terminal hydrophilic / amphipathic domain. This "signal" which is uncleaved is also essential for correct targeting. Oil-bodies and their associated oleosins may be recovered by floatation centrifugation of aqueous seed extracts. This simple partitioning step results in a dramatic enrichment for oleosins in the oil-body fraction. In the light of these properties, we reasoned that it would be feasible to create fusion proteins on oil-bodies comprising oleosins and an additional valuable protein of pharmaceutical or industrial interest. It was further postulated that if these proteins were displayed on the outer surface of oil-bodies, it would be possible to release them from the purified oil-bodies using chemical or proteolytic cleavage. This could result in a simple means of recovering high-value protein from seeds at a significant (i.e. commercial) scale. This procedure has been successfully reduced to practice for a wide variety of proteins of therapeutic, industrial and food no. The utillity of the method will be discussed using a blood anticoagulant, hirudin, and industrial enzymes as key examples.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.31 no.3
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• pp.169-189
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• 2020

In this study, as the role and function of university libraries have been expanded to become a base for local information services and local information service centers along with the demands of the times, this study seeks to find ways to revitalize university library services using local cultural contents. I did. As a result, first, university libraries select core cultural contents representing the region or contents related to people from the region as regional cultural contents, receive information from relevant institutions in the region, or directly It must perform social, cultural and educational functions based on culture and art. Second, when planning programs related to local cultural contents, university libraries should proceed in the form of combining local visits, learning, reading, and experiences. Third, university libraries should play a role as a repository of cultural resources and a hub of cultural resources through systematic and stable preservation of cultural resources and widespread service expansion through the establishment of a local cultural resource management system.

• Journal of Arbitration Studies
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• v.21 no.2
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• pp.113-131
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• 2011

Recently, the Internet Corporation for Assigned Names and Numbers (ICANN) announced the expansion of the number of generic top-level domains (gTLDs) beyond the current 22 gTLDs, and the gTLD Applicant Guidebook for ICANN's new gTLD program is now under consideration for approval. ICANN also introduces a "Trademark Clearinghouse" and the "Uniform Rapid Suspension (URS)" procedure to protect trademarks and expedite dispute resolution and save costs. The Trademark Clearinghouse is a central repository for information to be authenticated, stored and disseminated, pertaining to the rights of the trademark holders. Trademark holders would voluntarily provide data of their trademarks from all over the world, and it would assist a trademark watch service provided by the new gTLD registry for trademark holders and potential domain name registrants. The URS is a part of the new gTLD dispute resolution mechanisms created by ICANN to resolve cybersquatting disputes. A complainant in a URS proceeding must establish three elements that are very similar to the existing UDRP to succeed, but supposedly more expedited and cost efficient. Since the URS provides that it only protects court validated and registered trademarks, it is not clear whether unregistered marks used in commerce are protected under the URS. The URS escalates the complainant's burden of proof from a preponderance of evidence standard under the UDRP to a clear and convincing evidence standard. The notices to a respondent shall be sufficient if the URS Provider sends the notice of Complaint to the addresses listed in the Whois contact information. As registrants who wish to conceal their true identity often subscribe to the privacy/proxy service and the complainant's high rate of success in the UDRP proceeding is relevant to the respondents' default rate, the URS's simple notice requirement would deprive respondents of a fair opportunity to assert their rights over the disputed domain names.

• Journal of Intelligence and Information Systems
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• v.14 no.4
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• pp.179-200
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• 2008

We develop a feature selection method that can improve both the efficiency and the effectiveness of classification technique. In this research, we employ case-based reasoning as a classification technique. Basically, this research integrates the two existing feature selection methods, i.e., the univariate analysis and the LVF algorithm. First, we sift some predictive features from the whole set of features using the univariate analysis. Then, we generate all possible subsets of features from these predictive features and measure the inconsistency rate of each subset using the LVF algorithm. Finally, the subset having the lowest inconsistency rate is selected as the best subset of features. We measure the performances of our feature selection method using the data obtained from UCI Machine Learning Repository, and compare them with those of existing methods. The number of selected features and the accuracy of our feature selection method are so satisfactory that the improvements both in efficiency and effectiveness are achieved.

• The Journal of the Korea Contents Association
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• v.11 no.10
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• pp.41-48
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• 2011

In feature selection, the selective evaluation scheme for Ant Colony Optimization(ACO) has recently been proposed, which reduces computational load by excluding unnecessary or less promising candidate solutions from the actual evaluation. Its superiority was supported by experimental results. However the experiment seems to be not statistically sufficient since it used only one dataset. The aim of this paper is to analyze convergence characteristics of the selective evaluation scheme and to make the conclusion more convincing. We chose three datasets related to handwriting, medical, and speech domains from UCI repository whose feature set size ranges from 256 to 617. For each of them, we executed 12 independent runs in order to obtain statistically stable data. Each run was given 72 hours to observe the long-time convergence. Based on analysis of experimental data, we describe a reason for the superiority and where the scheme can be applied.

• Journal of KIISE:Computing Practices and Letters
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• v.13 no.6
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• pp.343-357
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• 2007

In this paper, we propose the techniques for effective management of profiles that necessary to provide adaptation content to an user. The profiles must be configured the related information of the user and can be exchanged according to periodic/aperiodic or event among user device, profile repository, contents adaptation server and contents storage server for providing adaptation content to an user. The profiles also must be supplied the contents services providers that need profiles for the adapted contents services. To support those function, we propose the management technologies of profiles and design profile framework supporting those. The proposed management framework of profiles is supported the profiles that are configurated using the various user's information and is used the Web Services for exchanging and providing regardless of the various devices and platform. The dynamic configuration method, metadata configuration method, and profiles providing methods using weight for effective management in the framework also are applied. The result of evaluation the proposed management techniques show effective profiles processing.