• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.86-92
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• 2016

A high-capacity battery installed in a hybrid vehicle or electric vehicle is used to power, or as a power supply for, electric sub-assemblies. In order to use a high-capacity battery as a power supply for electric sub-assemblies, such as an electronic control unit or for lighting, radio, and navigation, there is a need for a DC converter that changes a high voltage of 240-400V to a low voltage of 12-14V, which is done with a low-voltage DC-DC converter (LDC). An LDC undergoes long-term aging so as to reduce latent defects in the production process. With regard to the usual aging method, an LDC is a DC-DC converter. So, a DC power supply is connected and used as input, and a programmable DC electronic load is the output. For stable operation, a product having a larger capacity by 10% (compared to an LDC) is used, and has a structure where electric power is dissipated into 100% heat. So, there is a problem with volume, based on the use of two pieces of equipment to test the LDC, and another problem based on the generation of heat in the programmable DC electronic load. Hence, this paper suggests a load test method as a way of recycling, where a significant portion of the electricity dissipated as heat in a load tester is returned as input. The method realizes savings of 80% or more in the electricity dissipated as heat through improvement in the efficiency of the recycling load tester.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.10
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• pp.713-722
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• 2013

This paper proposes a method of using depth information to detect the hand region in real-time based on the cascade method. In order to ensure stable and speedy detection of the hand region even under conditions of lighting changes in the test environment, this study uses only features based on depth information, and proposes a method of detecting the hand region by means of a classifier that uses boosting and cascading methods. First, in order to extract features using only depth information, we calculate the difference between the depth value at the center of the input image and the average of depth value within the segmented block, and to ensure that hand regions of all sizes will be detected, we use the central depth value and the second order linear model to predict the size of the hand region. The cascade method is applied to implement training and recognition by extracting features from the hand region. The classifier proposed in this paper maintains accuracy and enhances speed by composing each stage into a single weak classifier and obtaining the threshold value that satisfies the detection rate while exhibiting the lowest error rate to perform over-fitting training. The trained classifier is used to classify the hand region, and detects the final hand region in the final merger stage. Lastly, to verify performance, we perform quantitative and qualitative comparative analyses with various conventional AdaBoost algorithms to confirm the efficiency of the hand region detection algorithm proposed in this paper.

• The KIPS Transactions:PartB
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• v.11B no.3
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• pp.327-336
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• 2004

For visual inspection system in real industrial environment, it is one of most important tasks to design fast and stable pattern matching algorithm. This paper presents an edge-based point correlation algorithm avoiding full search in visual inspection system. Conventional algorithms based on NGC(normalized gray-level correlation) have to overcome some difficulties for applying to automated inspection system in factory environment. First of all, NGC algorithms need high time complexity and thus high performance hardware to satisfy real-time process. In addition, lighting condition in realistic factory environments if not stable and therefore intensity variation from uncontrolled lights gives many roubles for applying directly NGC as pattern matching algorithm in this paper, we propose an algorithm to solve these problems from using thinned and binarized edge data and skipping full point search with edge-map analysis. A point correlation algorithm with the thinned edges is introduced with image pyramid technique to reduce the time complexity. Matching edges instead of using original gray-level pixel data overcomes NGC problems and pyramid of edges also provides fast and stable processing. All proposed methods are preyed from experiments using real images.

• Journal of agriculture & life science
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• v.44 no.5
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• pp.23-27
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• 2010

The control of stem length is most important external quality aspect in cut chrysanthemum. The present work in conducted in growth chamber and aims at investigating the effect of light intensity on the photosynthesis capacity and stem elongation in cut chrysanthemum. To evaluate the effect, different level of assimilation lighting (LEDs) was given to canopy level 60, 100, 140, and $180mol{\cdot}m^{-2}{\cdot}s^{-1}$, individually, under short-day conditions, and the light treatments were initiated from 7days after planting. There was a positive linear-regression relationship between the light intensity and the net assimilation rate. On the other hand, there was not significant difference in flower buds induction. The growth of stem length, leaf area, and dry weight was increased by increasing the light intensity, whereas the plants grown under 140 and $180mol{\cdot}m^{-2}{\cdot}s^{-1}$ was not differences in those of growth. It indicates that the increased net assimilation rate is not continually coincided with the maximized growth in cut chrysanthemum. It might be considered that the optimal light intensity for stem elongation of cut chrysanthemum is $140mol{\cdot}m^{-2}{\cdot}s^{-1}$ under short-day condition.

• Journal of the Korea Society of Computer and Information
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• v.18 no.8
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• pp.65-75
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• 2013

This paper proposes a method of tracking the hand region and detecting the fingertip using only depth images. In order to eliminate the influence of lighting conditions and obtain information quickly and stably, this paper proposes a tracking method that relies only on depth information, as well as a method of using region growing to identify errors that can occur during the tracking process and a method of detecting the fingertip that can be applied for the recognition of various gestures. First, the closest point of approach is identified through the process of transferring the center point in order to locate the tracking point, and the region is grown from that point to detect the hand region and boundary line. Next, the ratio of the invalid boundary, obtained by means of region growing, is used to calculate the validity of the tracking region and thereby judge whether the tracking is normal. If tracking is normal, the contour line is extracted from the detected hand region and the curvature and RANSAC and Convex-Hull are used to detect the fingertip. Lastly, quantitative and qualitative analyses are performed to verify the performance in various situations and prove the efficiency of the proposed algorithm for tracking and detecting the fingertip.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.41 no.5
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• pp.543-550
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• 2021

Recently, there has been an increase of accidents related to the rise in the use of Personal Mobility Vehicle (PMV). To solve this problem, the National Assembly announced an amendment that restricted the use of PMV to bicycle roads and to prohibited for people under 13 years old to use PMV, but there is no detailed information about travel speed and safety. In this study, a survey was conducted by dividing the group into minors and adults based on the age of obtaining a driver's license to find out the direction of improvement of laws and systems about PMV. Our results showed that adults considered PMV as more dangerous (Adults 5.50, Minors 4.94) and the suggested age for PMV use was lower from minors than adults (Adults 15.70, Minors 13.85). We found that proper travel speed on bicycle roads differed according to the presence of a driveway (Driveway 26.21 km/h, Non-Driveway 23.55 km/h) and minors had higher a travel speed than adults on all types of bicycle road. Also, Helmets for PMV were seen as the most important safety equipment on all types of bicycle road. and the importance of other safety equipment differed according to the presence of a driveway (Driveway Front-Lighting, Non-Driveway Car Horn). Through this study, It proposes that we have to make new regulations about the use of front lights and horns, as well as enforcement measures that differentiate the speed on each bicycle road type as a way to improve the laws and systems for PMV.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.11
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• pp.475-489
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• 2019

This study seeks to explore the method of imagination through creative new thinking in cultural heritage education and the most effective model of education in education. Research methods were organized by the methods of reviewing literature, browsing the Internet, and comparative analysis of prior research. We hope to realize the need for differentiated Korean cultural heritage and make efforts to incorporate our identity in the design. Through this study, we hope to realize the need for differentiated Korean cultural heritage and make efforts to incorporate our identity in the design. In the process of visualizing information, the focus should be on identifying the structure, characteristics, and the correlation between pattern and trend analysis, and the heterogeneity analysis, and should be made with the characteristics considered. Texting, graphics, sound, animation, lighting, and Navigation are often used as the expressive elements of information visualization for educational models. To facilitate the understanding of learners, accurate information transmission visuals should be presented. To do so, the use of infographic can be the answer. It is necessary to develop appropriate multimedia visual data, such as the use of infographic to be applied, and to develop various infographic multimedia visuals. These work should not be merely a research dimension, but should be carried out with the aim of helping develop actual cultural heritage educational content.

• Korean Journal of Breeding Science
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• v.40 no.2
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• pp.196-200
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• 2008

A new spary chrysanthemum (Dendranthema grandiflorum) cultivar 'Pinky' was bred from a cross between 'Rima' and 'Yen'. Progenies were investigated from 2004 to 2006 under shading culture in spring and retarding culture in autumn and the promising line was selected based on the performance of year-round production, white rust resistance and vase life. Pinky flowered around 20 October, and year-round production was possible by shading and lighting. Its flower was 3.1 cm in diameter, and had 38.4 petals and 26.8 flowers per stem in autumn. Its petal was narrow (0.4 cm) and pink with green in color at the flower center. Days to flower from short-day start for 'Pinky' was about 47 in spring. 'Pinky' showed a vase life of 20.9 days in autumn. This cultivar was commercially registered in 2007. 'Pinky' would be suitable for culture under the greenhouse and rain shelter condition in Korea.

• Korean Journal of Breeding Science
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• v.40 no.2
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• pp.159-163
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• 2008

A New spary chrysanthemum (Dendranthema grandiflorum) cultivar 'Water Fog' was bred by open pollination of 'Angaesoguk'. Its characteristics were investigated three times from 2004 to 2006 under forcing culture in spring and retarding culture in autumn. The natural flowering time of 'Water Fog' was 24 October, but year-round production was possible by shading and lighting. It had flower diameter of 2.3 cm, 46.5 petals and 34.4 flowers per stem in autumn. The petal was narrow(0.4cm) and the color of petal was white with presence of green at flower center. Days to flower from short-day start for 'Water Fog' was about 48 in spring. 'Water Fog' showed the vase life of 22.6 days in autumn. This cultivar was registered for a commercialization in 2007. 'Water Fog' would be cultured under greenhouse and rain shelter condition in Korea.

• Korean Journal of Breeding Science
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• v.40 no.4
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• pp.541-545
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• 2008

A new spary chrysanthemum (Dendranthema grandiflorum) cultivar 'Yellow Eye' was developed from a cross between 'Angela' and 'Angaesoguk' followed by selections of seedlings and lines at the Flower Research Institute, Gyeongnam Agricultural Research and Extension Services (ARES) from 2003 to 2007. Its characteristics were investigated three times from 2005 to 2007 under forcing culture in spring and retarding culture in autumn. The natural flowering time of 'Yellow Eye' was October 24th, but year-round production was possible by shading and lighting. Its flower was 3.3 cm in diameter, and had 31.7 petals and 27.9 flowers per stem in autumn. It has pollenless, single type flowers with yellow petals and green flower center. To flower in under the short day condition, for 'Yellow Eye' was about 41 days in spring, and 'Yellow Eye' showed a vase life of 23.1 days in autumn. This cultivar was registered for a commercialization in 2007. 'Yellow Eye' would be cultured under the greenhouse and rain shelter condition in Korea.