• Journal of KIISE:Software and Applications
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• v.33 no.10
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• pp.886-895
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• 2006

Fingerprint classification reduces the number of matches required in automated fingerprint identification systems by categorizing fingerprints into a predefined class. Support vector machines (SVMs), widely used in pattern classification, have produced a high accuracy rate when performing fingerprint classification. In order to effectively apply SVMs to multi-class fingerprint classification systems, we propose a novel method in which SVMs are generated with the one-vs-all (OVA) scheme and dynamically ordered with $na{\ddot{i}}ve$ Bayes classifiers. More specifically, it uses representative fingerprint features such as the FingerCode, singularities and pseudo ridges to train the OVA SVMs and $na{\ddot{i}}ve$ Bayes classifiers. The proposed method has been validated on the NIST-4 database and produced a classification accuracy of 90.8% for 5-class classification. Especially, it has effectively managed tie problems usually occurred in applying OVA SVMs to multi-class classification.

• The Korean Journal of Mycology
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• v.43 no.1
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• pp.33-39
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• 2015

In filamentous fungi, velvet complex associated with the veA gene plays pivotal roles in development and secondary metabolism. In a model fungus Aspergillus nidulans, many proteins that can interact with VeA, including two methyltransferases VipB and VipC, have been isolated and characterized. In this study, we isolated homologs of the vipB and vipC genes in the human opportunistic pathogenic fungus Aspergillus fumigatus and named AfuvipB and AfuvipC. The AfuvipB gene, annotated as Afu3g14920 in the Aspergillus Genome Database (AspGD) database, consists of 1,510 bp interrupted with 10 introns yielding 336 amino acid-long putative methyltransferase protein. Similarly, AfuvipC, which is Afu8g01930, has 10 introns and encodes a polypeptide with 339 amino acids having a methyltransferase domain in the middle of the protein. To characterize the function of the genes in A. fumigatus, knock-out mutants were generated and the phenotypes were observed. Deletion of AfuvipB gene caused no obvious phenotypic change on point inoculation but showed smaller colony than wild-type when the mutant was subjected to culture on single spore-driven culture condition. However, AfuvipC deletion mutant demonstrated no phenotypic difference from wild type both in point inoculation and streaking cultures. These results indicate that the two methyltransfereases might have a redundant role and could be dispensable in normal culture conditions.

• Korean Journal of Construction Engineering and Management
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• v.9 no.4
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• pp.182-192
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• 2008

The purpose of this research is to identify problems and solutions of domestic Life Cycle Cost analysis in BTL(Build-Transfer-Lease), a PFI(Private Finance Initiatives) project. It is expected BTL would be quite effective delivery method for public construction introducing the private's major capital investments and technologies, and obviously LCC analysis is becoming more important factor for success of BTL projects. Nevertheless, there are still some complicated issues in LCC analysis, a technique for selecting the optimal VE(Value Engineering) proposals and estimating OM&R (Operation, Maintenance, & Repair) cost of the buildings, and has been applied limitedly. This research mainly focuses on educational facility, as most frequently delivered by BTL currently, especially with two levels (Alternative LCC and Building LCC) , which is occupied main potion in BTL project. In addition, it identifies four main problems and suggests their solutions through case studies focusing six major factors (WBS, Repair Information, Life Cycle, Time value of money, Repair Information Database, LCC Model) from three projects. Advanced development of this research requires closer partnership between the private / public sectors, and their long term strategies.

• Physical Therapy Rehabilitation Science
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• v.9 no.1
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• pp.55-65
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• 2020

Objective: The most important goal of hippotherapy is to improve function, gait, and balance. The purpose of this study was to investigate the effects of hippotherapy on function, gait, and balance of children with cerebral palsy (CP). Design: A systematic review and meta-analysis. Methods: We've searched the PubMed, EMBASE, and Cochrane Library CENTRAL databases for English experimental studies published up until September 2018. To analyze the effects of hippotherapy on the function, gait, and balance of children with cerebral palsy, the systematic review and meta-analysis were performed on Patient/Participants/Population Problem, Intervention, Comparison, Outcome with Timing, Setting Study Design. Papers retrieved from the database were removed from the literature management database. Methodological quality evaluation was evaluated using Cochrane's risk of bias. Data was analyzed using the Revman 5.3 program of the Cochrane library. Results: In this study, we found that the effect size of hippotherapy, denoted as d, was -3.82, and that hippotherapy had the most effect on gait, but no statistical significant difference was observed. We also found no significant difference in function and balance after hippotherapy. It was found from the funnel plot that there was no publication bias as the plot was symmetrically distributed around the dotted line. Conclusions: There are many unclear studies and a lack of randomized controlled trials (RCTs) in this research area. More RCTs on the effects of hippotherapy on children with CP should be conducted in the future.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2009.11a
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• pp.253-256
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• 2009

To the success of the megaproject including various and complex facilities, it is needed to establish a database system. Developments in data collection, storage and extracting technology have enabled iPMIS to manage various and complex information about cost and time. Especially, when we consider that both the go and no go decision in feasibility, Cost is an important and clear criteria in megaproject. Thus, Cost data modeling is the basis of the system and is necessary process. This research is focus on the structure and definition about CBS data which is collected from sites. We used four tools which are Function Analysis in VE, Casual loop Diagram in System Dynamics, Decision Tree in Data-mining, and Normalization in SQL to identify its cause and effect relationship on CBS data. Cost data modeling provide iPMIS with helpful guideline.

• Wind and Structures
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• v.38 no.2
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• pp.129-146
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• 2024

Aiming at the problem of non-stationary wind field simulation of downbursts, a non-stationary down-burst generation system was designed by adding a nozzle and program control valve to the inlet of the original wall jet model. The computational fluid dynamics (CFD) method was used to simulate the downburst. Firstly, the two-dimensional (2D) model was used to study the outflow situation, and the database of working conditions was formed. Then the combined superposition of working conditions was carried out to simulate the full-scale measured downburst. The three-dimensional (3D) large eddy simulation (LES) was used for further verification based on this superposition condition. Finally, the wind tunnel test is used to further verify. The results show that after the valve is opened, the wind ve-locity at low altitude increases rapidly, then stays stable, and the wind velocity at each point fluctuates. The velocity of the 2D model matches the wind velocity trend of the measured downburst well. The 3D model matches the measured downburst flow in terms of wind velocity and pulsation characteris-tics. The time-varying mean wind velocity of the wind tunnel test is in better agreement with the meas-ured time-varying mean wind velocity of the downburst. The power spectrum of fluctuating wind ve-locity at different vertical heights for the test condition also agrees well with the von Karman spectrum, and conforms to the "-5/3" law. The vertical profile of the maximum time-varying average wind veloci-ty obtained from the test shows the basic characteristics of the typical wind profile of the downburst. The effectiveness of the downburst generation system is verified.

• Journal of the Korean Wood Science and Technology
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• v.43 no.4
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• pp.411-420
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• 2015

Despite of the same species there is a difference in the tree shape and its wood property due to quantitatiVe and qualitatiVe differences in wood cells by the intra-annual cambial actiVity. The purpose of this study was to proVide the fundamental database of intra-annual cambial seasonal actiVity for red pine in Sokwang-ri and Anmyondo for the determination of their wood qualities. As the results of intra-annual cambial actiVity, the initiation of cambial actiVity of red pine in the plots with Age Class V in Sokwang-ri was in the middle of April and it was at the beginning of April in all plots in Anmyondo. Only the plots with Age Class IX in Sokwang-ri showed relatiVely late initiation of cambial actiVity as between middle of May and middle of June. Except one plot with Age Class IX in Sokwang-ri all plots in both sites showed the same cessation of cambial actiVity as between middle and end of October. According to intra-annual cambial actiVity, the duration of cambial actiVity in Sokwang-ri is shorter than that of Anmyondo. On the other hand, the number of cell diVision of cambial actiVity in Sokwang-ri was more than those of Anmyondo. We could establish the database for intra-annual cambial actiVity for Sokwang-ri and Anmyondo to estimate their wood quality.

• Journal of Information Technology Services
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• v.16 no.3
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• pp.167-183
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• 2017

The rapid growth of information technology and mobile service platforms, i.e., internet, google, and facebook, etc. has led the abundance of data. Due to this environment, the world is now facing a revolution in the process that data is searched, collected, stored, and shared. Abundance of data gives us several opportunities to knowledge discovery and data mining techniques. In recent years, data mining methods as a solution to discovery and extraction of available knowledge in database has been more popular in e-commerce service fields such as, in particular, movie recommendation. However, most of the classification approaches for predicting the movie popularity have used only several types of information of the movie such as actor, director, rating score, language and countries etc. In this study, we propose a classification-based support vector machine (SVM) model for predicting the movie popularity based on movie's genre data and social network data. Social network analysis (SNA) is used for improving the classification accuracy. This study builds the movies' network (one mode network) based on initial data which is a two mode network as user-to-movie network. For the proposed method we computed degree centrality, betweenness centrality, closeness centrality, and eigenvector centrality as centrality measures in movie's network. Those four centrality values and movies' genre data were used to classify the movie popularity in this study. The logistic regression, neural network, $na{\ddot{i}}ve$ Bayes classifier, and decision tree as benchmarking models for movie popularity classification were also used for comparison with the performance of our proposed model. To assess the classifier's performance accuracy this study used MovieLens data as an open database. Our empirical results indicate that our proposed model with movie's genre and centrality data has by approximately 0% higher accuracy than other classification models with only movie's genre data. The implications of our results show that our proposed model can be used for improving movie popularity classification accuracy.

• Korean Security Journal
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• no.6
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• pp.195-213
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• 2003

This is a case study on the violent collective activities of spectators in professional soccer games. The purpose of this study is to examine the reasons and the processes of the activities. In order to achieve the purpose well, I analyzed two cases of violent collective activities in spectators of professional soccer games that were held on June 24 and July 28 in 2001. The data for this study was collected from 14 kinds of daily newspapers from June 10 to August 20 in 2001 to maintain the objective validity of the outline, the reasons, and the processes of the violent collective activities of spectators in two cases. The data was collected from Korea Integrated News Database System(KINDS) of Korea Press Foundation, and Chollian, on-line service of DACOM, for its efficiency, accuracy and promptness. On the basis of the above-mentioned method as well as the consequences of data analysis, I've reached to a conclusion as follows. The reasons of the violent collective activities of spectators in professional soccer games were the mass effect, the activities of players, umpires and the results of games, etc. The violent collective activities of spectators in professional soccer games need pre-requirements and have relationships with special affairs that are developed in a regular sequence. In other words, a collective activity gives an effect on another one directly or indirectly. Therefore, this study shows that we can reduce or prevent the damages by the violent collective activities of spectators in sport games when we analyze the processes of collective activities and make a previous counter-measure for that.

• Journal of the Korea Society of Computer and Information
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• v.3 no.2
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• pp.125-130
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• 1998

One of the most urgent problems facing 21 century might seem to be a preparation for an advanced education against an information society and have relation to a new information supporting system in teaching as well as leaning. Nevertheless, our educational circumstances have a lot of problems because an effective information supporting contents for teaching and leaning is insufficient. Especially, we've never been making every effort to develope educational contents providing students with a type of information and knowledge database even though the education which come into use internet has been raising a social issue. Therefore, we propose a model of learning contents for supporting www based distance learning system.