• Journal of The Korean Association of Information Education
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• v.20 no.5
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• pp.527-534
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• 2016

This study is an analysis of Software image using the semantic differential scale with elementary students. We have selected the items in a total of 35 pairs of test about software-related image adjectives and are categorized into 7 main factors, and then analyzed the entire image with the students. The analysis of the differences between the software images of sex, the female students than male students were recognized the software is complex, slow and difficult and do not want to have. The analysis of the self-awareness on the software, the students who know that well recognized for the software select the positive term for the software. The inter-grade analysis are the older grade students were the answer to the objective features of the software like more difficult and complex.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.1
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• pp.1-12
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• 2018

This paper presents a material estimation method using dual-energy X-ray images generated as a result of cargo inspection system in MeV region. We use new discrimination curve using logarithmic function rather than four discrimination curves commonly used in existing estimation algorithms. We also propose an atomic number estimation using the probability distribution of the logarithmic curve rather than linear interpolation. When the probability distribution is used as a weight, we used two methods of using the weight for the two nearest reference materials and the weight for all the reference materials. Experimental results showed that the atomic number estimation of materials using the probability distribution as a weight is more accurate than the existing methods. In order to visualize the estimated atomic number, the HSI model was used for color the resulting image.

• Journal of the Korean Geophysical Society
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• v.9 no.1
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• pp.1-6
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• 2006

To remove ringing and increase vertical resolution of GRP data, signature deconvolution was applied to GPR data obtained using a 100 MHz antenna in the Soyang Lake. The signature was extracted through stacking reflection signals from the lake bottom. Results of this deterministic deconvolution was compared with those from the conventional Wienner method. Due to increased vertical resolution, both deconvolution methods are able to resolve three or more layers in an apparent single layer on the input data. However, identification of reflection boundaries from ringing is not easy due to poor definition in the output data of the Wienner filter. On the contrary, the signature deconvolution greatly enhances both vertical resolution and definition of reflection boundaries, showing detailed internal stratigraphic features of the three sedimentary layers. Since extraction of signature at various depths is possible, this deconvolution method can be appled effectively to unstationary GPR data.

• Journal of the Korean Wood Science and Technology
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• v.27 no.1
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• pp.105-114
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• 1999

Antimicrobial activities of the organosoluble extracts, seperated fractions and isolated lignans from the leaves tissue of Magnolia kobus DC. var. borealis Sarg. were investigated. The results are summarized as follows : 1. The inhibitory components against the spore growing test were concentrated on light petroleum ether and diethyl ether soluble fractions. The light petroleum ether solubles of the leaves tissue had terpenes compound, so, that they caused growing inhibition. These appearance showed high values of Rf on TLC bioautography and GC analyses with monoterpenes. 2. In the lignans, syringaresinol(X III), medioresinol(VI), phillygenin(VIII), kobusinol A(X) showed relatively high inhibitory effects in the spore growing test, and these are all showed structural characteristic of the phenolic hydroxyl group of guaiacyl and syringyl skelecton. 3. The light petroleum ether soluble fraction showed the strongest inhibitory effect against the antimicrobial activity in the seperated fractions. 4. The inhibitory effects of the lignans against the bacteria showed not so pronounced independantly, but the extracts and separated fractions contained with these lignans showed something synergism.

• Journal of Ginseng Research
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• v.1 no.1
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• pp.79-88
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• 1976

A determinatien of the saponins in ginseng tea and extract was carried out by using the quantitative TLC autodetector equipped with a hydrogen flame ionization detector. In order to apply to the Quality central of the ginseng tea and extract. the optimum condition and recovery percentage for the quantitative determination of saponins in these products duo studied. The results obtained were as follows: The method was adequate to estimate whether the ginseng extract used for the Products and She raw ginseng extract were the same quality or net. Most of the individual peak area was increased with the concentration of the total saponin. But some of the peak areas were net increased quantitatively in the ease of the sample containing high concentration ginseng extract. To deternine the saponins in ginseng tea correctly high volume low concentration was better than the low volume high concentration. Optimum concentration of ginseng extract in sample to determine the individual saponins was in the range of 0.5∼1.5g. The recovery percentage of the total saponin was 99.5% on the average.

• The KIPS Transactions:PartD
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• v.19D no.4
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• pp.263-270
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• 2012

With the current development of high speed Internet and massive database technology, the amount of web documents increases rapidly, and thus, classifying those documents automatically is getting important. In this study, we propose an effective method to extract document features based on Hangeul morpheme and keyword analyses, and to classify non-structured documents automatically by predicting subjects of those documents. To extract document features, first, we select terms using a morpheme analyzer, form the keyword set based on term frequency and subject-discriminating power, and perform the scoring for each keyword using the discriminating power. Then, we generate the classification model by utilizing the commercial software that implements the decision tree, neural network, and SVM(support vector machine). Experimental results show that the proposed feature extraction method has achieved considerable performance, i.e., average precision 0.90 and recall 0.84 in case of the decision tree, in classifying the web documents by subjects.

• Journal of Korean Society of Forest Science
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• v.7 no.1
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• pp.45-49
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• 1968

This experiment was carried out to study moisture contents including in the woody parts of standing Pitch Pine trees. The moisture measuring samples were made from the parts of root, branch, top, sapwood and heartwood of test trees. The test trees and average moisture contents measured from the parts of trees are as table (1) and (2). According to the results this study may be concluded as followings. 1) In the winter felled Pitch Pine trees highest moisture contents are shown in the top wood but lowest in the heartwood among the parts of tree. 2) In comparing moisture contents showing between two parts of tree, significant differences are show between top or heartwood and other parts but between branch or sapwood and root are not shown. 3) As general there is no significant variation in moisture contents of root, sapwood and heartwood among the test trees but branch wood is shown considerable variation.

• Korean Journal of Remote Sensing
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• v.20 no.4
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• pp.235-244
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• 2004

This study focuses on the assessment for proposed algorithm to discriminate cloudy pixels from snowy pixels through use of visible, near infrared, and short wave infrared channel data in VEGETATION-1 sensor embarked on SPOT-4 satellite. Traditional threshold algorithms for cloud and snow masks did not show very good accuracy. Instead of these independent masking procedures, K-Means clustering scheme is employed for cloud/snow discrimination in this study. The pixels used in clustering were selected through an integration of two threshold algorithms, which group ensemble the snow and cloud pixels. This may give a opportunity to simplify the clustering procedure and to improve the accuracy as compared with full image clustering. This paper also compared the results with threshold methods of snow cover and clouds, and assesses discrimination capability in VEGETATION channels. The quality of the cloud and snow mask even more improved when present algorithm is implemented. The discrimination errors were considerably reduced by 19.4% and 9.7% for cloud mask and snow mask as compared with traditional methods, respectively.

• Korean Chemical Engineering Research
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• v.59 no.3
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• pp.379-392
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• 2021

In this study, an improved acetone-water fractional precipitation process for paclitaxel using ultrasonic cavitation bubbles and gas bubbles was developed. Compared to the conventional method, the time required for precipitation has been reduced by 20~25 times. In addition, the particle size of paclitaxel decreased by 3.5~5.5 times and the diffusion coefficient of paclitaxel increased by 3.5~6.7 times. In the case of precipitation using ultrasonic cavitation bubbles, as the ultrasonic power increased and the temperature decreased, the precipitation rate constant increased. In the case of precipitation using gas bubbles, as the gas flow rate increased and the temperature decreased, the precipitation rate constant increased. Thermodynamic parameters revealed the exothermic, irreversible, and nonspontaneous nature of the improved fractional precipitation.

• The Journal of the Petrological Society of Korea
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• v.17 no.2
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• pp.57-82
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• 2008

The volcanic sequence of the late Cretaceous Moonyu volcanic mass which distributed in the southwestern part of Ryeongnam massif, can be divided into felsic pyroclastic rocks, andesite and andesitic pyroclastic rocks, rhyolite in ascending order. The earliest volcanic activity might commence with intermittent eruptions of felsic magma during deposition of volcaniclastic sediments. Explosive eruptions of felsic pyroclastic rocks began with ash-falls, to progressed through pumice-falls and transmitted with dacitic to rhyolitic ash-flows. Subsequent andesite and andesitic pyroclastic rocks were erupted and finally rhyolite was intruded as lava domes along the fractures near the center of volcanic mass. Petrochemical data show that these rocks are calc-alkaline series and have close petrotectonic affinities with subduction-related continental margin arc volcanic province. Major element compositions range from medium-K to high-K. Petrochemical variation within the volcanic sequence can be largely accounted for tractional crystallization processes with subordinate mixing. The most mafic rocks are basaltic andesite, but low MgO and Ni contents indicate they are fractionated by fractional crystallization from earlier primary mafic magma, which derived from less than 20% partial melting of ultramafic rocks in upper mantle wedge. Based on the stratigraphy, the early volcanic rocks are zoned from lower felsic to upper andesitic in composition. The compositional zonation of magma chamber from upper felsic to lower andesitic, is interpreted to have resulted from fractionation within the chamber and replenishment by an influx of new mafic magma from depth. Replenishment and mixing is based on observations of disequilibrium phenocrysts in volcanic rocks. REE patterns show slight enrichment of LREE with differentiation from andesite to rhyolite. Rhyolite in the final stage can be derived from calc-alkaline andesite magma by fractional crystallization, but it might have underwent crustal contamination during the fractional crystallization.