• Journal of The Korean Digital Architecture Interior Association
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• v.10 no.2
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• pp.21-30
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• 2010

Students in the field of architectural design, form and design of the new learning process, and in the design of a very premiere. Perhaps one way of theoretical training and strict discipline academy will probably already be familiar with. In addition to academic activities rather passive liberal arts students, learning basic academic skills than students, vocational students lag is most. However, these have been popular with young sensibility popular consensus here and he has the potential to move actively. This is very sporadic but does not control the many, it's even the potential fragmentation of consciousness, because they themselves do not know a lot of parts. Therefore, the power embodied in the design process and disclose the outside, it fits in the design field to produce results. And designed to improve learning ability and motivation to want to promote. Accordingly, this research through the following four methods to test the methodology on the basis of the results and try to find solutions to problems. (1) Outside the student's latent ability to express emotion should be. (2) Students' interests are actively utilized in the design classes. (3) Analysis of individual interests and ideas, and how to take advantage of the design process that is induced. (4) The final work should express your own personality into the design. Through this, students' academic motivation and a positive vision of the direction of design is proposed.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.24 no.10B
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• pp.1963-1970
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• 1999

Researches in draft recommendation H.263 have been made in ITU-T LBC group to broaden its range of useful application and to improve its compression performance. The form of added and revised draft text of H.263 is informally known as “H.263+”. In this paper, we analyzed the characteristics of H.263+ negotiable option modes for four image classes. Based on the analysis results, we proposed the adaptive selection scheme of H.263+ option modes by using a scene change detector for a mixed image class. In case of using the proposed scheme, we obtained the 1.6dB improvement in PSNR compared to the basic mode of H.263, and the 0.4~1.0 dB improvement in PSNR compared to the fixed usage scheme of H.263+ negotiable option modes. In respect to used bits per frame, fewer bits are produced than the basic mode H.263 and the foxed usage scheme of H.263+ option modes.

• Journal of Biosystems Engineering
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• v.31 no.6 s.119
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• pp.514-523
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• 2006

Production of green pepper has been increased due to customer's preference and a projected ten-year boom in the industry in Korea. This study was carried out to develop an automatic grading and sorting system for green pepper using machine vision. The system consisted of a feeding mechanism, segregation section, an image inspection chamber, image processing section, system control section, grading section, and discharging section. Green peppers were separated and transported using a bowl feeder with a vibrator and a belt conveyor, respectively. Images were taken using color CCD cameras and a color frame grabber. An on-line grading algorithm was developed using Visual C/C++. The green peppers could be graded into four classes by activating air nozzles located at the discharging section. Length and curvature of each green pepper were measured while removing a stem of it. The first derivative of thickness profile was used to remove a stem area of segmented image of the pepper. While pepper is moving at 0.45 m/s, the accuracy of grading sorting for large, medium and small pepper are 86.0%, 81.3% and 90.6% respectively. Sorting performance was 121 kg/hour, and about five times better than manual sorting. The developed system was also economically feasible to grade and sort green peppers showing the cost about 40% lower than that of manual operations.

• Journal of Korean Medical classics
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• v.25 no.2
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• pp.95-105
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• 2012

Objective : This study was conducted to examine the scope and learning objective of Medical classics in the field of the education of Korean Medicine. Method : This study was analyzed and figured out list of classes which was taken by department of medical classics in eleven College of Korean Medicine and one school of Korean Medicine. Results & Conclusions : 1. Now, 14 subjects out of 16 subjects which were taken by whole department of medical classics in Korea can be a proper area of education of medical classics. Now, Hwangjenaekyung and Nangyeong are the only aim of the lessons at the medical classics. Therefore, we present to modify the aims inclusively. 2. The subject of the class have to change as follows. 'Wonjeon' changes into 'Hwangjenaekyung', 'Medical Chinese character' changes into 'Korean medical chinese character', 'medical informatics' changes into 'korean medical informatics'. 3. As we consider the condition that 'Nangyeong' is educating in just four departments of medical classics, we have to discuss about the stature of Nangyeong and to extend education of Nangyeong. 4. In the department of medical classics, we can improve the level of understanding and reading skills by educating the class of 'Sanghanron' and 'Donguibogam'. 5. This study is actively involved in trying to include 'Korean Medical Informatics' and 'Korean medical terminology ' in the education field of the medical classics.

• The KIPS Transactions:PartB
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• v.13B no.4 s.107
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• pp.383-392
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• 2006

In this paper, we propose a new relevance feedback algorithm using Probabilistic Neural Networks(PNN) while supporting multi-class learning. Then, to validate the effectiveness of our feedback approach, we incorporate the proposed algorithm into our region-based image retrieval tool, FRIP(Finding Regions In the Pictures). In our feedback approach, there is no need to assume that feature vectors are independent, and as well as it allows the system to insert additional classes for detail classification. In addition, it does not have a long computation time for training because it only has four layers. In the PNN classification process, we store the user's entire past feedback actions as a history in order to improve performance for future iterations. By using a history, our approach can capture the user's subjective intension more precisely and prevent retrieval performance errors which originate from fluctuating or degrading in the next iteration. The efficacy of our method is validated using a set of 3000 images derived from a Corel-photo CD.

• Journal of Sericultural and Entomological Science
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• v.53 no.1
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• pp.29-37
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• 2015

Since based on the revised educational curriculum, the insects and spiders in eight biology textbooks I and II of high school are as follows. In class level, two classes, Insecta and Arachnida were investigated and their frequence numbers in the textbooks were a total of 143 times. In order level, 12 orders in insecta, 2 orders in Aranea were appeared in the textbooks. The most appearing frequence number was represented in Lepidoptera (33 times) and then in Araneae (11 times). For each publisher, the most appearing frequencies of insecta and spiders was shown in Gyohaksa (23 times), and then in Hyeongseol and Centurla education research institute (21times, respectively). In the textbooks, four species were found to misidentify in their species name and five mistakes were investigated in their photos and content.

• Journal of the Korean Society for information Management
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• v.34 no.3
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• pp.23-48
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• 2017

The study goals are establishing a library management plan for the school for the blind in Korea and also developing a structured library program, which reflected the patron's perception. We surveyed the students in three schools for the blind to identify their perception and usage statistics of the libraries. The analysis of the survey led to a school library program framework consisting of four types. To verify the applicability and effectiveness of the framework, we designed ten programs to meet the needs of the schools by consulting respective school's teachers. We administered the second survey after the classes, and we found that there were positive increases in the frequency of library use, a number of books read, perception about the libraries, amount of information used, and self-directed learning willingness.

• School Mathematics
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• v.15 no.4
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• pp.683-699
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• 2013

At the point when textbooks based on storytelling have been used in math classes for elementary first and second grades, this research analyzed any changes in perspectives of in-service teachers towards storytelling education, to promote further application for teaching and learning math by storytelling in the future. 30 in service teachers who have used math textbooks based on storytelling were surveyed in March and in July, 2013. For the better understanding of the survey results, four of the subjects were selected and interviewed. Consequently, teachers' perspectives towards the appropriateness and efficiency of the storytelling education did not change significantly. It also suggested that the most suitable area for storytelling is measurement, the least suitable area is geometry, and storytelling by real-life applications is effective in teaching elementary math.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.11
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• pp.2784-2799
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• 2012

Biological data have been increased exponentially in recent years, and analyzing these data using data mining tools has become one of the major issues in the bioinformatics research community. This paper focuses on the protein construction process in higher organisms where the deoxyribonucleic acid, or DNA, sequence is filtered. In the process, "unmeaningful" DNA sub-sequences (called introns) are removed, and their meaningful counterparts (called exons) are retained. Accurate recognition of the boundaries between these two classes of sub-sequences, however, is known to be a difficult problem. Conventional approaches for recognizing these boundaries have sought for solely enhancing machine learning techniques, while inherent nature of the data themselves has been overlooked. In this paper we present an approach which makes use of the data attributes inherent to species in order to increase the accuracy of the boundary recognition. For experimentation, we have taken the data sets for four different species from the University of California Santa Cruz (UCSC) data repository, divided the data sets based on the species types, then trained a preprocessed version of the data sets on neural network(NN)-based and support vector machine(SVM)-based classifiers. As a result, we have observed that each species has its own specific features related to the splice sites, and that it implies there are related distances among species. To conclude, dividing the training data set based on species would increase the accuracy of predicting splicing junction and propose new insight to the biological research.

• Computers and Concrete
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• v.8 no.6
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• pp.647-675
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• 2011

Our ability to predict hydration behavior is becoming increasingly relevant to the concrete community as modelers begin to link material performance to the dynamics of material properties and chemistry. At early ages, the properties of concrete are changing rapidly due to chemical transformations that affect mechanical, thermal and transport responses of the composite. At later ages, the resulting, nano-, micro-, meso- and macroscopic structure generated by hydration will control the life-cycle performance of the material in the field. Ultimately, creep, shrinkage, chemical and physical durability, and all manner of mechanical response are linked to hydration. As a way to enable the modeling community to better understand hydration, a review of hydration models is presented offering insights into their mathematical origins and relationships one-to-the-other. The quest for a universal model begins in the 1920's and continues to the present, and is marked by a number of critical milestones. Unfortunately, the origins and physical interpretation of many of the most commonly used models have been lost in their overuse and the trail of citations that vaguely lead to the original manuscripts. To help restore some organization, models were sorted into four categories based primarily on their mathematical and theoretical basis: (1) mass continuity-based, (2) nucleation-based, (3) particle ensembles, and (4) complex multi-physical and simulation environments. This review provides a concise catalogue of models and in most cases enough detail to derive their mathematical form. Furthermore, classes of models are unified by linking them to their theoretical origins, thereby making their derivations and physical interpretations more transparent. Models are also used to fit experimental data so that their characteristics and ability to predict hydration calorimetry curves can be compared. A sort of evolutionary tree showing the progression of models is given along with some insights into the nature of future work yet needed to develop the next generation of cement hydration models.