• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• v.9 no.1
• /
• pp.453-456
• /
• 2005

In this paper, we propose method to improve recognition performance using the most effective algorithm selectively after clustering various face data, because recognition performance of each algorithm according to facial attribute is change. The proposed face recognition is divided into two steps. First step is the clustering integrated various data to be optimized in algorithm. Second is that classify input image by a similar cluster, select suitable algorithm and recognize the target. This thesis takes the first step towards the creation of a synthetic classifier fusiontesting environment. The effects of data correlation on three classifier fusion techniques were examined. We proposed fusion method for each recognition algorithm's result. This research explores how the degree of correlation in classification data affects the degree of accuracy in a fusion context.

• Journal of KIISE:Databases
• /
• v.32 no.6
• /
• pp.650-661
• /
• 2005

As the Internet is growing, the use of XML which is a standard of semi-structured document is increasing. Therefore, there are on going works about integration and retrieval of XML documents. However, the basis of efficient integration and retrieval of documents is to cluster XML documents with similar structure. The conventional XML clustering approaches use the hierarchical clustering algorithm that produces the demanded number of clusters through repeated merge, but it have some problems that it is difficult to compute the similarity between XML documents and it costs much time to compare similarity repeatedly. In order to address this problem, we use clustering algorithm for transactional data that is scale for large size of data. In this paper we use common structures from XML documents that don't have DTD or schema. In order to use common structures of XML document, we extract representative structures by decomposing the structure from a tree model expressing the XML document, and we perform clustering with the extracted structure. Besides, we show efficiency of proposed method by comparing and analyzing with the previous method.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
• /
• v.17 no.7
• /
• pp.691-696
• /
• 2004

The electronic state and chemical bonding of $\beta$-MnO$_2$ with transition metal dopants were theoretically investigated by DV-X$_{\alpha}$ (the discrete variational X$_{\alpha}$) method, which is a sort of the first principles molecular orbital method using the Hartree-Fock-Slater approximation. The calculations were performed with a $_Mn_{14}$ MO$_{56}$ )$^{-52}$ (M = transition metals) cluster model. The electron energy level, the density of states (DOS), the overlap population, the charge density distribution, and the net charges, were calculated. The energy level diagram of MnO$_2$ shows the different band structure and electron occupancy between the up spin states and down spin states. The dopant levels decrease between the conduction band and the valence band with the increase of the atomic number of dopants. The covalency of chemical bonding was shown to increase and ionicity decreased in increasing the atomic number of dopants. Calculated results were discussed on the basis of the interaction between transition metal 3d and oxygen 2p orbital. In conclusion it is expected that when the transition metals are added to MnO$_2$ the band gap decreases and the electronic conductivity increases with the increase of the atomic number of dopants. the atomic number of dopants.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.36 no.11
• /
• pp.1162-1173
• /
• 2012

This study classifies conspicuous consumption groups and the difference of fashion involvement and selfsatisfaction by each group. It also examined the effect of fashion involvement on self-satisfaction by each group. A questionnaire method was used for the study method and the subjects of the study were females in their 20s-50s. A total of 580 sets of questionnaires were distributed and 554 sets were used for the final analysis. Data were analyzed by factor analysis, t-test, ANOVA, factor analysis, cluster analysis, Cronbach's alpha coefficients, and multiple regression analysis. The results of this study were as follows: First, this study classified 4 groups of active conspicuous consumption, the group of passive conspicuous consumption, the group of syntonic conspicuous consumption and the group pursuing individuality & frugal consumption. Second, as a result of the examination of the impact of fashion involvement for each group with a propensity for conspicuous consumption on their self-satisfaction, it was found that the sex appeal of fashion involvement had no significant impact on the economic satisfaction in the group of active conspicuous consumption, and had no significant impact on all elements of self-satisfaction in the group of passive conspicuous consumption. It was also found that social symbolism had a negative impact on satisfaction with looks in the group of syntonic conspicuous consumption, and the physical complementation and directions of looks had a negative impact on satisfaction with living, the social symbolism on satisfaction with looks and the syntone on satisfaction with looks in the group of pursuing individuality & frugal consumption.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.31 no.3 s.162
• /
• pp.364-375
• /
• 2007

The propose of this study is to develop the optimal sizing system of ready-to-wear far elementary school boys using a newly invented statistical technique. The body measurements was classified by the method that equalizes the distribution of the subjects using the probability density function, to theoretically systemize a method to determine a size range of ready-to-wear for elementary school boys between 7 to 12 yeiws old. The results were as follows: 1. Height group includes 9 types of heights: 115, 120, 125, 130, 135, 140, 145, 150 and 155. 2. In the case of short children's groups, the variance in bust girth and waist girth is narrow. The people cluster together around the average. The size deviation of ready-to-wear is small. 3. In the case of tall children's groups, the variance in bust girth and waist girth is wide. The people spread widely around the average. The size deviation of ready-to-wear is large. 4. The optimal size system is suggested considering the weight of growth exponent of children according to their respective ages. Clothing companies can selectively choose sizes that meet the target of their brands. 5. It suggests the body sizes chart, which based on their means by the middle size children for each height group, so that clothing companies make use of it.

• Journal of Korean Society of Environmental Engineers
• /
• v.36 no.6
• /
• pp.402-411
• /
• 2014

This study suggests the method of green infrastructure (GI) application which helps proper distribution of structural GI and non-structural GI by using land characteristics assessment and performs the case study. Land assessment standard consists of land cover type, fragmentation degree, proximity degree to residential districts, and cluster degree of fragmented areas which represents the quality of green network. The result of assessment proposes the land suitability to preserve or develop and it can be utilized to choose the type of the green infrastructures.

• Journal of Physiology & Pathology in Korean Medicine
• /
• v.29 no.1
• /
• pp.39-45
• /
• 2015

This experiment was designed to investigate the effect of Added Chongmyung-tang (ACM) on Alzheimer's disease mouse model. Effects of ACM on learning behavior were investigated using the Morris water maze method. Expression levels of molecular factors related to Alzheimer's disease such as glial fibrillary acidic protein (GFAP), cluster of differentiation antigen 68 (CD68), and tau protein in the hippocampus of APP-SWE Tg2576 mice were analyzed by immunofluorescence staining method. ACM reduced escape latency in the Morris water maze test. ACM decreased the expression level of GFAP and tau protein in the hippocampus. These results suggest that ACM may be involved in regulating molecules that are known to play an important role in the pathogenesis of Alzheimer's disease.

• Journal of KIISE:Computing Practices and Letters
• /
• v.16 no.1
• /
• pp.60-64
• /
• 2010

To discover association rules from nontransactional data, there have been many studies on discretization of attribute values. These studies do not reflect the change of discovered rules' confidence according to the change of the ranges of the discretized attributes, and perform the discretization stage and the rule discovery stage independently. This causes the ranges of attributes not properly discretized, thereby making the rules having high confidence excluded in the result set. To solve this problem, we propose a novel method that performs the discretization and rule discovery stages simultaneously in order to discretize ranges of attributes in such a way that the rules having high confidence are discovered well. To the end, we perform hierarchical clustering on the attributes in the right hand side of rules, then do characterization on every cluster thus obtained. The experimental result demonstrates that our method discovers the rules having high confidence better than existing methods.

• The Journal of the Korea Contents Association
• /
• v.9 no.6
• /
• pp.399-406
• /
• 2009

The goal of this research is to examine the influence degree of participant of sports on self-esteem of middle school students. By stratified cluster random sampling method 420, middle school student living in D city joined the survey; it was used to derive the result of this research. Among them, 25 results were excepted by the lack of reliability or un-enough answer rate, so 395 results were used for the research. To analyze collected data, used statistical technique statistical analysis technique frequency, factor analysis, t-test and ANOVA. Through such method of study and formality, this study deduced following result. First, self-esteem of middle school students shows change by the frequency of sports activity. Second, self-esteem of middle school students shows change by the interval of sports activity. Third, self-esteem of middle school students shows change by the intensity of sports activity.

• The KIPS Transactions:PartC
• /
• v.17C no.2
• /
• pp.189-196
• /
• 2010

The LEACH does not use flooding method for data transmission and this makes low power consumption. So performance of the WSN is increased. On the other hand, QoS based algorithm which use restricted flooding method in WSN also achieves low power consuming rate by reducing the number of nodes that are participated in routing path selection. But when the data is delivered to the sink node, the LEACH choose a routing path which has a small hop count. And it leads that the performance of the entire network is worse. In the paper we propose a QoS based energy efficient clustering and routing algorithm in WSN. I classify the type of packet with two classes, based on the energy efficiency that is the most important issue in WSN. We provide the differentiated services according to the different type of packet. Simulation results evaluated by the NS-2 show that proposed algorithm extended the network lifetime 2.47 times at average. And each of the case in the class 1 and class 2 data packet, the throughput is improved 312% and 61% each.