• Microbiology and Biotechnology Letters
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• v.19 no.3
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• pp.296-302
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• 1991

Glucose isomerase producer, which produces 488 U/ml of glucose isomerase activity in 500 ml flask scale, was isolated among 666 isolates of Actinomycetes from pine forest soil samples. The isolate was identified as Streptomyces luteogriseus through the studies about morphology (spiral aerial mycelia), cell wall type (Type I), spore chains (spiral form), pigment formation (gray melanine pigment) & metabolism (sugar utilization etc). The optimum conditions of fermentation were determined in 500 ml flask scale. The enzyme production was reached maximum after 4 days at pH 6.0~8.0 and 27~$30^{\circ}C$ in the medium containing 1.5~3.0% of xylose; 0.5-0.8% of glucose; 0.1% of $MgSO_4.7H_20$; 0.05% of $CoCI_2-6H_20$; 7.5% of corn steep liquor.

• Korean Journal of Plant Taxonomy
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• v.39 no.4
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• pp.292-295
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• 2009

Here, we report a previously unrecorded species, Sin-an-sae-u-nan-cho (Calanthe aristulifera Rchb. f.). It was discovered on Heuksan Island in Jeollanam-do. Its natural habitat was a subtropical forest. The species can easily be characterized by the simple trichomes on the back of its leaves and spur. This species is important because new horticultural races of Calanthe can be developed by cross-breeding with other species of Calanthe.

• Journal of Chitin and Chitosan
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• v.23 no.4
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• pp.228-233
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• 2018

We isolated microorganisms from soil, which is sampled at forest, Kyeonbuk, Korea, as cellulolytic microorganisms. The isolated strains were identified by analysis of 16S rRNA gene from the starins. The result, four kinds of Bacillus subtilis, one kind of Bacillus amyloliquefaciens, and one kind of Bacillus cereus were identified. Among these strains, Bacillus subtilis was selected due to its high cellulase activity and this strain was named as Bacillus subtilis CNS. The optimum pH and temperature of the cellulase from Bacillus subtilis CNS was pH 5.0 and $40^{\circ}C$, respectively. In the investigation of pH and temperature stability, the cellulase from Bacillus subtilis NSC stabled pH 4.0~6.0 range and until $40^{\circ}C$ for 30 min perfectly. In the enzyme activity for various cellulosic substrate, cellulase from Bacillus subtilis CNS showed the highest activity for CM-cellulose. And, the enzyme activities for alkali swollen cellulose, Alpha-cellulose, Sigmacell-cellulose, and Avicel were approximately 31%, 8%, 8% and 4% of activity for CM-cellulose, respectively. In the degradation of CM-cellulose, the 0.26 U/ml and 0.52 U/ml of cellulase showed 0.43 and 0.76 U/ml activity for CM-cellulose after the reaction of 120 min, respectively.

• Korean Journal of Remote Sensing
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• v.38 no.6_2
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• pp.1663-1676
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• 2022

Recently, a number of deep-learning based land cover segmentation studies have been introduced. Some studies denoted that the performance of land cover segmentation deteriorated due to insufficient training data. In this study, we verified the improvement of land cover segmentation performance through data augmentation. U-Net was implemented for the segmentation model. And 2020 satellite-derived landcover dataset was utilized for the study data. The pixel accuracies were 0.905 and 0.923 for U-Net trained by original and augmented data respectively. And the mean F1 scores of those models were 0.720 and 0.775 respectively, indicating the better performance of data augmentation. In addition, F1 scores for building, road, paddy field, upland field, forest, and unclassified area class were 0.770, 0.568, 0.433, 0.455, 0.964, and 0.830 for the U-Net trained by original data. It is verified that data augmentation is effective in that the F1 scores of every class were improved to 0.838, 0.660, 0.791, 0.530, 0.969, and 0.860 respectively. Although, we applied data augmentation without considering class balances, we find that data augmentation can mitigate biased segmentation performance caused by data imbalance problems from the comparisons between the performances of two models. It is expected that this study would help to prove the importance and effectiveness of data augmentation in various image processing fields.

• Journal of Korean Society of Forest Science
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• v.70 no.1
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• pp.7-16
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• 1985

To grasp canonical correlations, their related backgrounds in various growth factors of stem, the characteristics of stem by synthetical dispersion analysis, principal component analysis and canonical correlation analysis as optimum method were applied to Larix leptolepis. The results are as follows; 1) There were high or low correlation among all factors (height ($x_1$), clear height ($x_2$), form height ($x_3$), breast height diameter (D. B. H.: $x_4$), mid diameter ($x_5$), crown diameter ($x_6$) and stem volume ($x_7$)) except normal form factor ($x_8$). Especially stem volume showed high correlation with the D.B.H., height, mid diameter (cf. table 1). 3) (1) Canonical correlation coefficients and canonical variate between stem volume and composite variate of various height growth factors ($x_1$, $x_2$ and $x_3$) are ${\gamma}_{u1,v1}=0.82980^{**}$, $\{u_1=1.00000x_7\\v_1=1.08323x_1-0.04299x_2-0.07080x_3$. (2) Those of stem volume and composite variate of various diameter growth factors ($x_4$, $x_5$ and $x_6$) are ${\gamma}_{u1,v1}=0.98198^{**}$, $\{{u_1=1.00000x_7\\v_1=0.86433x_4+0.11996x_5+0.02917x_6$. (3) And canonical correlation between stem volume and composite variate of six factors including various heights and diameters are ${\gamma}_{u1,v1}=0.98700^{**}$, $\{^u_1=1.00000x_7\\v1=0.12948x_1+0.00291x_2+0.03076x_3+0.76707x_4+0.09107x_5+0.02576x_6$. All the cases showed the high canonical correlation. Height in the case of (1), D.B.H. in that of (2), and the D.B.H, and height in that of (3) respectively make an absolute contribution to the canonical correlation. Synthetical characteristics of each qualitative growth are largely affected by each factor. Especially in the case of (3) the influence by the D.B.H. is the most significant in the above six factors (cf. table 2). 3) Canonical correlation coefficient and canonical variate between composite variate of various height growth factors and that of the various diameter factors are ${\gamma}_{u1,v1}=0.78556^{**}$, $\{u_1=1.20569x_1-0.04444x_2-0.21696x_3\\v_1=1.09571x_4-0.14076x_5+0.05285x_6$. As shown in the above facts, only height and D.B.H. affected considerably to the canonical correlation. Thus, it was revealed that the synthetical characteristics of height growth was determined by height and those of the growth in thickness by D.B.H., respectively (cf. table 2). 4) Synthetical characteristics (1st-3rd principal component) derived from eight growth factors of stem, on the basis of 85% accumulated proportion aimed, are as follows; Ist principal component ($z_1$): $Z_1=0.40192x_1+0.23693x_2+0.37047x_3+0.41745x_4+0.41629x_5+0.33454x_60.42798x_7+0.04923x_8$, 2nd principal component ($z_2$): $z_2=-0.09306x_1-0.34707x_2+0.08372x_3-0.03239x_4+0.11152x_5+0.00012x_6+0.02407x_7+0.92185x_8$, 3rd principal component ($z_3$): $Z_3=0.19832x_1+0.68210x_2+0.35824x_3-0.22522x_4-0.20876x_5-0.42373x_6-0.15055x_7+0.26562x_8$. The first principal component ($z_1$) as a "size factor" showed the high information absorption power with 63.26% (proportion), and its principal component score is determined by stem volume, D.B.H., mid diameter and height, which have considerably high factor loading. The second principal component ($z_2$) is the "shape factor" which indicates cubic similarity of the stem and its score is formed under the absolute influence of normal form factor. The third principal component ($z_3$) is the "shape factor" which shows the degree of thickness and length of stem. These three principal components have the satisfactory information absorption power with 88.36% of the accumulated percentage. variance (cf. table 3). 5) Thus the principal component and canonical correlation analyses could be applied to the field of forest measurement, judgement of site qualities, management diagnoses for the forest management and the forest products industries, and the other fields which require the assessment of synthetical characteristics.

• Journal of Korean Society of Forest Science
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• v.47 no.1
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• pp.52-61
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• 1980

This study is carried out to learn the properties of forest soils in Korea and propose the reasonable management methods of forest land. Among 178 soil series surveyed until now in Korea forest soils include 64 series broken down according to the weathered products into 5 categories such as residual materials on mountain and hill, residual materials on rolling and hill, colluvial materials on local valley and fans, alluvial materials and volcanic ash soils. What discussed in this paper are classification system, parent rocks, texture class and drainage conditions of Korean forest soils. The characteristics of Korean forest soil properties classified in U.S.D.A. soil classification system are as follows: 1. Residual soils on mountain and hill (29 soil series) are almost Lithosols without any distinct soil profile development. They have loamy skeletal (11 series), coarse loamy (5 series), fine loamy (3 series), and fine clayey soils (3 series). Their drainage conditions are somewhat excessively drained in 16 series and well drained in 7 series. 2. Residual soils on rolling and hill (19 series) are Red-Yellow Podzolic soils with well developed soil profiles. They have coarse and fine loamy texture in 12 series and fine clayey texture in 5 series mostly with well drained condition. 3. Colluvial soils on local valley and fans (13 series) include mostly Regosols and some Red-Yellow Podzolic Soils and Acid Brown Forest Soils. They have loamy skeletal (4 series), coarse loamy (3 series), fine loamy (3 series), and fine clayey soils (2 series) with well drained condition. 4. Soil textures of weathered products of parent rocks are as follows: 1) Parent rocks producing coarse texture soils are rhyolite, granite gneiss, schist, shale, sandstone, siltstone, and conglomerate. 2) Parent rocks producing fine and heavy texture soils are limestone, basalt, gabbro, and andesite porphyry. 3) Granite is a parent rock producing various textured soils.

• Journal of Korean Society of Forest Science
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• v.28 no.1
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• pp.1-20
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• 1975

F$\ddot{u}$r die Erforschllng der Variationen bei der Naturpopulationen der Pinus densifiora wurden drei Populationen aus Chuwangsan (Kyong-buk), Anmyondo (Chung-nam) und Odaesan (Kangwon) Ausgewiiblt. Bei je 20 Individuen jeder Population wurden die Variationen von der Eigenschaft der $\ddot{a}$usseren Gestalt, von der anatomischen und morphologischen Eigenschaft der Kiefernadel und von der Holzqualit$\ddot{a}$t an Bohrsp$\ddot{a}$nen untersucht. Das Ergebnis der Untersuchung konnte in den folgenden sechs Punkten formuliert werden. 1. Von den Eigenschaften der $\ddot{a}$usseren Gestalt ist die Geradheit des Baumstamms, der Durchmesser der Zweige und der Winkel der Verzweigung in der Odaesan Population wlinschenswerter als in anderen Populationen. 2. Es wird festgestellt, dass sich die drei Nadelmerkmale, Anzahl der Z$\ddot{a}$hne je 0.5 cm, Anzahl der Stomata-Reihen und Anzahl der Harzkan$\ddot{a}$le, sowohl zwischen den Populationen als auch zwischen den Individuen signignifikant unterscheiden. 3. Bei der Betrachtung des Harzkanal Index, der Schichtanzahl der Hypodermis und der Entfernung der Fibrovasalb$\ddot{u}$ndel wird aufgezeigt, dass sich alle drei gepr$\ddot{u}$ften Populationen geringf$\ddot{u}$gig von der normalen Kiefer unterscheiden. 4. Zwischen den Populationen ergibt sich ein Unterschied im Prozentanteil des Spatho lzes und im spezifischen Geswicht, jedoch zeigt die Breite der Jahresrings und die Tracheidenl$\ddot{a}$nge keinen Unterschied. Das spezifische Gewicht und die Tracheidenl$\ddot{a}$nge der Individuen jeder Population ist signifikant verschieden. 5. Bei dem Alter 11-20 ist der Prozentanteil des sp$\ddot{a}$tholzes am gr$\ddot{o}$ssten und wird aber danach immer geringer bis zum Alter 30; sp$\ddot{a}$ter zeigt sich dann keine sichtbare Ver$\ddot{a}$nderung mehr. Das spezifische Gewicht sich vergr$\ddot{o}$ssert bei der Zunahme des Jahresrings, nimmt aber dann in Anmyondo und Odaesan Populationen beim Alter 21-30 wieder ab. Die Tracheidenl$\ddot{a}$nge der drei Populationen besitzen die Neigung, sich nach der zunahme der Jahresringe zu vermehren. 6. Mit diesen hier behandelten Charakteren werden ganz allgemeinen die Unterschiede der drei Kiefer populationen festgestellt. Diese Ergebnisse sind sehr bemerkenswert betrachtet vom genetischen Gesichtspunkt der waldbaumpopulation.

• Korean Journal of Plant Taxonomy
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• v.34 no.2
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• pp.87-96
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• 2004

Father, U. Faurie visited Korea (Busan, Incheon, Nampo, Pyongyang, Seoul, Wonsan, Mt. Geumgang of Gangwon-do, and Jeju-do) three times for his plant collections (1901, 1906, and 1907). During his plant explorations, Faurie collected many specimens which were investigated and studied by T. Nakai and H. L$\acute{e}$veill$\acute{e}$ later. Unfortunately all collection sites were simply described in his collection sites in Romanized character, so that it is difficult to pinpoint those sites using the current or old Korean map. From this study, many locality names were reviewed based on his own collections and literatures, and those were listed as the order of his collection dates.

• Journal of Microbiology and Biotechnology
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• v.33 no.11
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• pp.1521-1530
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• 2023

An α-L-rhamnosidase gene from Thermoclostridium. stercorarium subsp. thermolacticum DSM 2910 (TstRhaA) was cloned and expressed. The maximum TstRhaA activity of the protein reached 25.2 U/ml, and the molecular mass was approximately 106.6 kDa. The protein was purified 8.0-fold by Ni-TED affinity with an overall recovery of 16.6% and a specific activity of 187.9 U/mg. TstRhaA activity was the highest at 65℃ and pH 6.5. In addition, it exhibited excellent thermal stability, better pH stability, good tolerance to low concentrations of organic reagents, and high catalytic activity for p-nitrophenyl-α-L-rhamnopyranoside (pNPR). Substrate specificity studies showed that TstRhaA exhibited a high specific activity for rutin. At 60℃, pH 6.5, and 0.3 U/ml enzyme dosage, 60 g/l rutin was converted to 45.55 g/l isoquercitrin within 150 min. The molar conversion rate of rutin and the yield of isoquercitrin were 99.8% and 12.22 g/l/h, respectively. The results suggested that TstRhaA could be used for mass production of isoquercitrin.

• Korean Journal of Remote Sensing
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• v.39 no.6_1
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• pp.1413-1425
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• 2023

The increasing frequency of wildfires due to climate change is causing extreme loss of life and property. They cause loss of vegetation and affect ecosystem changes depending on their intensity and occurrence. Ecosystem changes, in turn, affect wildfire occurrence, causing secondary damage. Thus, accurate estimation of the areas affected by wildfires is fundamental. Satellite remote sensing is used for forest fire detection because it can rapidly acquire topographic and meteorological information about the affected area after forest fires. In addition, deep learning algorithms such as convolutional neural networks (CNN) and transformer models show high performance for more accurate monitoring of fire-burnt regions. To date, the application of deep learning models has been limited, and there is a scarcity of reports providing quantitative performance evaluations for practical field utilization. Hence, this study emphasizes a comparative analysis, exploring performance enhancements achieved through both model selection and data design. This study examined deep learning models for detecting wildfire-damaged areas using Landsat 8 satellite images in California. Also, we conducted a comprehensive comparison and analysis of the detection performance of multiple models, such as U-Net and High-Resolution Network-Object Contextual Representation (HRNet-OCR). Wildfire-related spectral indices such as normalized difference vegetation index (NDVI) and normalized burn ratio (NBR) were used as input channels for the deep learning models to reflect the degree of vegetation cover and surface moisture content. As a result, the mean intersection over union (mIoU) was 0.831 for U-Net and 0.848 for HRNet-OCR, showing high segmentation performance. The inclusion of spectral indices alongside the base wavelength bands resulted in increased metric values for all combinations, affirming that the augmentation of input data with spectral indices contributes to the refinement of pixels. This study can be applied to other satellite images to build a recovery strategy for fire-burnt areas.