• Journal of the Korean Institute of Educational Facilities
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• v.4 no.4
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• pp.29-41
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• 1997

The objective of this paper is to construct a model to be used in deciding whether to repair or rebuild school buildings is depending on their ages and other factors. The theme of this paper is the age is the main variable but other factors such as floor, innerwall, ceiling, door, inner window of the class room, outer window of the class room, inner window of the corridor, outer window of the corridor, middle window between the classroom and the corridor, light, heater, speaker, fire protection sensor, TV monitor, and telephone status would influence the final decisions. This paper employs an experimental case study method. Using the stepwise, statistical, classification method commonly used in discriminant analysis, it evaluates 12,766 rooms of 87 different high schools in Seoul. The result of this study indicates that some critical variables influencing the final decisions are the status of TV monitor, middle window between the classroom and the corridor, light, inner window of the corridor, fire protection sensor, innerwall, speaker utensil, outer window of the class room, and door of the class room. This paper also suggests a linear discriminant function will be used for this kind of studies. Finally the paper recommends policies with respect to the variables and discriminant functions evaluated.

• Journal of the Korea Society of Computer and Information
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• v.15 no.7
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• pp.11-17
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• 2010

This paper proposes an improved SMO solving a quadratic optmization problem for class imbalanced learning. The SMO algorithm is aproporiate for solving the optimization problem of a support vector machine that assigns the different regularization values to the two classes, and the prosoposed SMO learning algorithm iterates the learning steps to find the current optimal solutions of only two Lagrange variables selected per class. The proposed algorithm is tested with the UCI benchmarking problems and compared to the experimental results of the SMO algorithm with the g-mean measure that considers class imbalanced distribution for gerneralization performance. In comparison to the SMO algorithm, the proposed algorithm is effective to improve the prediction rate of the minority class data and could shorthen the training time.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2012.05a
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• pp.11-15
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• 2012

A rotordynamic analysis is performed for a 7 ton class turbopump applied to the third stage LRE(Liquid Rocket Engine) of the KSLV(Korea Space Launch Vehicle). Based on the heritage of the developed experimental 30 ton class turbopump and developing 75 ton class turbopump for the KSLV first and second stage LRE, the 7 ton class turbopump is designed as an one-axis rotor turbopump. Two rotor systems comprised of one oxidizer pump assembly and the other fuel pump-turbine assembly are connected each other using a spline shaft and operating at a design speed. Through the rotordynamic analysis, it is investigated that the turbopump acquires sufficient separate margin of critical speed as a sub-critical rotor.

• Journal of Engineering Education Research
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• v.21 no.4
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• pp.10-19
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• 2018

This study introduces an engineering design class which is experimental in a sense that it is planned and implemented with three key concepts such as learner-centered education, living lab and community based learning. With the class run in being connected with one regional community in Seoul, it focuses on its educational effects acquired through the living lab-based approach. And this research investigates the student's experiences of when, what and how they learn in a learner-centered class. It shows that, rather than taking professor's one dimensional lectures in classroom, the students learn actively when they face with the problem in the field. Students have come to carry out engineering design from the perspective of stakeholders, not from the supplier or producer's perspective in the process of meeting with the problem in reality. Team based collaborative activities are crucial in the entire design process. More importantly, students' design products have been transformed into more useful and meaningful ones as stakeholders of the local community have participated into the students' works. However, we need to recognize that there are some important issues that need to be solved institutionally and systematically in order for such educations to spread. This study suggests several educational arrangements for those issues.

• Journal of Korea Multimedia Society
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• v.22 no.6
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• pp.655-664
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• 2019

In this paper, we propose a novel way of combining multiple deep convolutional neural network (DCNN) architectures which work well for accurate video face identification by adopting a serial combination of 3D and 2D DCNNs. The proposed method first divides an input video sequence (to be recognized) into a number of sub-video sequences. The resulting sub-video sequences are used as input to the 3D DCNN so as to obtain the class-confidence scores for a given input video sequence by considering both temporal and spatial face feature characteristics of input video sequence. The class-confidence scores obtained from corresponding sub-video sequences is combined by forming our proposed class-confidence matrix. The resulting class-confidence matrix is then used as an input for learning 2D DCNN learning which is serially linked to 3D DCNN. Finally, fine-tuned, serially combined DCNN framework is applied for recognizing the identity present in a given test video sequence. To verify the effectiveness of our proposed method, extensive and comparative experiments have been conducted to evaluate our method on COX face databases with their standard face identification protocols. Experimental results showed that our method can achieve better or comparable identification rate compared to other state-of-the-art video FR methods.

• The Journal of the Acoustical Society of Korea
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• v.27 no.6
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• pp.303-308
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• 2008

The purpose of the present study is to investigate that word frequency has significant influence on noun definitions in Korean. The experimental group was 80 students from Elementary school, Middle school, High school and University. They rated familiarity and wrote definitions for nouns. Noun definitions were analyzed with semantic categories such as "use/purpose," "description," "association/relation," "partial explanation," "explanation," "error," "partial explanation-attribute," "partial explanation-specific class," "partial explanation-nonspecific class," "explanation-specific class," "explanation-nonspecific class." As a result, they showed familiarity for high-frequency nouns. "EXPL" categories that use class terms or critical attributes were used more frequently in definitions of high-frequency nouns compared with low-frequency nouns. They increased with age and errors decreased with age. Word frequency had a significant influence on noun definitions.

• Journal of the Korean Chemical Society
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• v.64 no.1
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• pp.38-48
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• 2020

The purpose of this study was to analysis characteristics and changes of epistemic thinking in middle school students on class-argument activities in an argument-based inquiry(ABI) science class. Data was collected from class recording video and activity worksheets of five subjects argument-based inquiry. Results of the analysis of student epistemic cognition characteristics show that experimental data was presented the most as evidence, and depending on the ABI activity, personal experience-based evidence and evidence based on scientific principles were used. As a result of analyzing the changes between claims made before and after class argumentations on five ABI activities in an argument-based inquiry science class, student claim modifications could be classified, according to reasons for the modification, into three types: correcting incorrect claims, clarifying unclear content, and expanding the concept.

• Journal of Internet Computing and Services
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• v.6 no.3
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• pp.159-170
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• 2005

OC-SVM(One Class Support Vector Machine) avoids solving a full density estimation problem, and instead focuses on a simpler task, estimating quantiles of a data distribution, i.e. its support. OC-SVM seeks to estimate regions where most of data resides and represents the regions as a function of the support vectors, Although OC-SVM is powerful method for data description, it is difficult to incorporate human subjective importance into its estimation process, In order to integrate the importance of each point into the OC-SVM process, we propose a fuzzy version of OC-SVM. In FOC-SVM (Fuzzy One-Class Support Vector Machine), we do not equally treat data points and instead weight data points according to the importance measure of the corresponding objects. That is, we scale the kernel feature vector according to the importance measure of the object so that a kernel feature vector of a less important object should contribute less to the detection process of OC-SVM. We demonstrate the performance of our algorithm on several synthesized data sets, Experimental results showed the promising results.

• Journal of Korea Water Resources Association
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• v.48 no.3
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• pp.233-243
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• 2015

The bimodal flocculation of cohesive sediments in water environments describes the aggregation and breakage process developing a bimodal floc size distribution with dense flocculi and floppy flocs. A two class population balance equation (TCPBE) was tested for simulating the bimodal flocculation by a model-data fitting analysis with two sets of experimental data (low and high turbulent flows) from 1-D flocculation-settling column tests. In contrast to the Single-Class PBE (SCPBE), the TCPBE could simulate interactions between flocculi and flocs and the flocculation mechanism by differential settling in a low turbulent flow. Also, the TCPBE could perform the same quality of simulation as the elaborate Multi-Class PBE (MCPBE), with a small number of floc size classes and differential equations. Thus, the TCPBE was proven to be the simplest model that is capable of simulating the bimodal flocculation of cohesive sediments in water environments and water, wastewater treatment systems.

• Journal of Science Education
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• v.37 no.1
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• pp.52-67
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• 2013

The purpose of this study was to examine the effect of educational science magic program on creative problem solving ability, inquiry skill, and scientific attitude in elementary school science. For this, two classes of 3th grade were chosen in the J elementary school located in Suwon city as the experimental class(30 students) and the comparative class(30 students). The two groups were selected through a diagnostic examining program. Instruction using educational science magic program was applied to the experimental class. The results of this study were as follows. 1. the creative problem solving ability of the experimental class has statistically meaningful differences and improved, compared with the comparative class(p<.05). 2. the scientific inquiry skill was improved, but it has no meaningful difference statistically. However, science tasks applied educational science magic program had valuable significance to ability of measure(p<.05). 3. the scientific attitude score also was improved, but it has no meaningful difference statistically. However, science tasks applied educational science magic program had valuable significance to endurance(p<.05). 4. the results of survey showed that educational science magic program influence students' interests and concerns in science, class participation, pleasure in class, and comprehension of what is said in class positively. Therefore, a educational science magic program applied in this study might be useful to improve the creative problem solving ability, interests and concerns in science, class participation, pleasure in class, and comprehension of what is said in class.