• Bulletin of the Korean Space Science Society
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• 2008.10a
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• pp.27.3-28
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• 2008

In this study, we report a new Monte Carlo ray tracing technique for estimating GOCI (Geostationary Ocean Color Instrument) radiative transfer characteristics and imaging performance simultaneously. First, a full scale GOCI optical model was constructed with measured characteristics at the component level and placed in the geostationary orbit. An optical model of approximated GOCI target area centered at the Korean penninsular was then built using the USGS coastal line data and representative land and sea surface reflectivity data. The light rays launched from a simulated sun model travel to the Earth surface, where they are reflected and scattered. Some of the light rays that are headed to the GOCI model in the orbit were selected and traced, as they have entered into the GOCI aperture. As they pass through each GOCI optical part, the ray path and intensity are adjusted according to the measured characteristics for reflection, transmission, refractive index and surface scattering. The ray-traced imaging and radiative transfer performance indicators confirm that the computer generated GOCI optical system with measured characteristics can be used for in-orbit operation simulation following the designed measurement sequence. The computational technique and its implications as a operation support tool are discussed.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2007.05a
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• pp.141-144
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• 2007

BLUs are major component in LCD industry which occupies 90% or more of FPD market worldwide and BLU market is expected to be expanded continuously according to the trend of miniaturization, slimness, low power consumption and low weight. The larger the BLU market scale, the more important standardization of performance evaluation techniques to clearly prescribe the product specification. Currently the government is promoting the establishment of related laws and coincidence with international standards to cope with agreements such as WTO/TBT, but the nongovernmental standardization activities are not enough to be actualized. Furthermore, BLU related components such as CCFL, EEFL, inverter and reflector are already developed for localization to substitute imports with home products but collective standardization, national standardization, and international standardization are still not done. So, performance specifications and evaluation methods for normal fluorescent lamps or industrial lamps are being adopted and used as national standards and safety certification standards instead. Making these standards enables to prepare a chance to penetrate into global market and to promote world best products. Also, by making this collective standard, it provides chances to take part in international standardization activities, to protect domestic industries and technologies, to obtain the trend of advanced technologies, and to be predominant over other countries. That is to say, CCFL standardization helps raise 21st century national strategic technology policy and go ahead of globalization of core technologies.

• Journal of the Korean Institute of Landscape Architecture
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• v.30 no.2
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• pp.1-11
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• 2002

The purpose of this study is to investigate landscape image and define elements of difference in visual preference of bridges on the Han River. To do this end, video was used as a media for the evaluation of the landscape image of 16 bridges on the Han River using a Semantic Differential scale. Data is collected by 50 students from Woosuk University, majoring landscape architecture. Final analysis utilized a total of 704 samples of data. Data is analyzed through descriptive statistics, and spatial image is analyzed by factor analysis algorithm Principle component analysis using Varimax method is applied far extraction and factor rotation. T-test is used to find the difference between the bridge type of preference with the data of factor score. Logistic regression is used to select the factors that influences the visual preference among the image factors. The results of this study can be summarized as follows; The image of whole bridges on the Han River is somewhat orderly, sequential and open. The degree of visual preference of unique bridge type is higher than normal but there are some differences in visual preference within the same type of structure. This suggests that the surrounding landscape is one of the important factor for visual preference. Factors covering the image of bridge are found to be 'aesthetic',　'structure','spatial factor', and 'shape'. Total variance is obtained as 60.4%. The aesthetic variables are the most important factor for visual preference and the structural factor presents no significant difference in visual preference between more preferred and less preferred bridges. Since the collapse of Songsu Bridge, we thought the structural factor is very important but the results of this study suggest that it is more important to consider the aesthetic and spatial factors of the bridge to increase the visual preference when planning and designing bridges. Simulations with more detailed data about surroundings should be utilized practical design.

• Journal of Microbiology and Biotechnology
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• v.19 no.7
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• pp.713-717
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• 2009

The dependence of the catalytic properties of horseradish peroxidase on the structural changes of ionic liquids was investigated with two water-miscible ionic liquids, N-butyl-3methypyridinium tetraftuoroborate ([$BMP_y$][$BF_4$]) and 1-butyl-3-methylimidazolium methylsulfate ([BMIM][$MeSO_4$]), each of which shares an anion ($BF_4^-$) or a cation ($BMIM^+$) with 1-butyl-3-methylimidazolium tetraftuoroborate ([BMIM][$BF_4$]), respectively. The oxidation of guaiacol (2-methoxyphenol) with $H_2O_2$was used as a model reaction. In order to minimize the effect of solution viscosity on the kinetic constants of the enzymatic catalysis, the enzymatic reactions for the kinetic study were performed in water-ionic liquid mixtures containing 25% (v/v) ionic liquid at maximum. Similarly to the previously reported results for [BMIM][$BF_4$], as the concentration of [$BMP_y$][$BF_4$] increased, the $K_m$value increased with a decrease in the $k_{cat}$value: the $K_m$value increased markedly from 2.8 mM in 100% water to 12.6 mM in 25% (v/v) ionic liquid, indicating that ionic liquid significantly weakens the binding affinity of guaiacol to the enzyme. On the contrary, [BMIM][$MeSO_4$] decreased the Km value to 1.4 mM in 25% (v/v) ionic liquid. [BMIM][$MeSO_4$] also decreased $k_{cat}$more than 3-folds [from 13.8 $s^{-1}$in 100% water to 4.1 $s^{-1}$in 25% (v/v) ionic liquid]. These results indicate that the ionic liquids interact with the enzyme at the molecular level as well as at a macroscopic thermodynamic scale. Specifically, the anionic component of the ionic liquids influenced the catalysis of horseradish peroxidase in different ways.

• Journal of Korea Multimedia Society
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• v.14 no.3
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• pp.368-377
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• 2011

This paper explains the hardware structure of SURF(Speeded Up Robust Feature) based feature point extractor and its FPGA verification result. SURF algorithm produces novel scale- and rotation-invariant feature point and descriptor which can be used for object recognition, creation of panorama image, 3D Image restoration. But the feature point extraction processing takes approximately 7,200msec for VGA-resolution in embedded environment using ARM11(667Mhz) processor and 128Mbytes DDR memory, hence its real-time operation is not guaranteed. We analyzed integral image memory access pattern which is a key component of SURF algorithm to reduce memory access and memory usage to operate in c real-time. We assure feature extraction that using a Vertex-5 FPGA gives 60frame/sec of VGA image at 100Mhz.

• Hwankyungkyoyuk
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• v.18 no.2 s.27
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• pp.31-43
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• 2005

In this study, after establishing assessment framework and reviewing the conceptual evolution and component of EL(Environmental Literacy) through literature review, through middle school students as population, the level of EL and relationship of its related variables were examined. The investigation was consisted of second and third grades of urban and rural middle schools in Choongbook. The used measurement methods were objective evaluation and Likert-type scale. The questionnaire instrument variables were consisted of 80 items on environmental literacy variables and six items on student gender, area of residence, environmental lesson, degree of environmental concern, environmental information, environmental activity as background variables. The major findings of this study were as follows: 1. Although the broad and obscure concept of EL has been evolved until 1992, it has been developed more systematic and precise after 1992. But there is not still an agreed concept. 2. The subordinate components of EL were consisted of cognitive, affective, and behavioral aspects. Both ecological knowledge(KEOC) and environmental skill(SKILL) were determined to serve as two powerful predictors of EL. 3. The level of EL of middle school student was showed statistically significant difference to some variables by student gender, residential area, environmental lesson, environmental concern, environmental information, and environmental activity variables. And the most influential variables of EL in middle school student were environmental skill(SKILL), and locus of control (LOC). Based on the findings of this study, the following suggestions are drawn: It should be established a precise concept on EL as the ultimate aim of environmental education both interdisciplinary cooperation and experts of environmental education and also performed further longitudinal study which assessed multidimensional variables which are able to exactly measure the EL of middle school student.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.37 no.1
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• pp.49-58
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• 2000

This paper presents a new color Image coding method which estimates color component Images from luminance image using spectral correlation m wavelet transformed domain More specifically, the wavelet transform is performed to the luminance image(Y), and then, for an efficient quad-tree division to encompass the varying block size, a cost function IS defined using high frequency coefficients generated by wavelet decomposition Next, a scale factor and an offset factor for each the block to minimize the estimation error between luminance image(Y) and R, B Images, are iteratively calculated With respect to the varying block size With associated cost function.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.2
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• pp.197-204
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• 2014

This paper investigates a design of optimization database structure layout of Message Oriented Analysis and Management Tool (MOMAT) for naval combat systems (NCS). The NCS is composed of heterogeneous and large-scale component such as communication service and data distribution servcies (DDS). Each components are massively made the data as components. To manage the messages, MOMAT is developed. Typical modeling tool have problems that low performance due to duplicate database tables. An efficient design that one of the database optimization is proposed to solve the problems in this paper. It reduces the number of tables and improves application response and processing time. Experiment results shows that an availability of proposed method in MOMAT and decrease of both amount of data from client node to server and sever load.

• Korean Journal of Agricultural Science
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• v.46 no.4
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• pp.981-989
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• 2019

Coffee is a popular beverage worldwide, and the scale of consumption is growing rapidly. Many studies have shown that increased coffee consumption has various effects on human health, including beneficial effects on liver diseases, clinical type 2 diabetes, and Parkinson's disease. However, the influences of coffee or caffeine (a component of coffee) on the gut microbiota have not been examined in detail. Here, we tested whether caffeine could alter the antimicrobial activity of L. casei against E. coli. Interestingly, we found that treatment with 0.3 mg/mL caffeine increased the antimicrobial activity of L. casei against E. coli. This activity was not associated with the release of lactic acid but did appear to be related to a heat-labile factor present in the L. casei culture supernatant. Our analyses suggest that the putative antimicrobial factor found in the culture supernatant of L. casei treated with caffeine may be bacteriocin. Taken together, our results suggest that caffeine, which is an ingredient of coffee, increases the antimicrobial activity of L. casei against E. coli through the enhanced production of bacteriocin. These findings also suggest that coffee consumption affects the ability of beneficial bacteria to decrease pathogenic bacteria and/or prevent the progression of bacterial infection-associated diseases in the gut.

• Journal of Digital Contents Society
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• v.18 no.7
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• pp.1323-1331
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• 2017

Despite the fact that the copyright has grown into a large-scale business, there are many constant problems especially in image copyright. In this study, we propose an automatic object extraction and classification system for the scanned educational book image by combining document image processing and intelligent information technology like deep learning. First, the proposed technology removes noise component and then performs a visual attention assessment-based region separation. Then we carry out grouping operation based on extracted block areas and categorize each block as a picture or a character area. Finally, the caption area is extracted by searching around the classified picture area. As a result of the performance evaluation, it can be seen an average accuracy of 83% in the extraction of the image and caption area. For only image region detection, up-to 97% of accuracy is verified.