• Korean Journal of Environment and Ecology
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• v.18 no.3
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• pp.279-287
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• 2004

To investigate the vegetation structure of the section of Nakdong-jeongmaek from Gajisan to Neungdongsan, fifty plots of 100$m^2$ at ten locations were set up. In accordance with the requirements of DCA(detrended correspondance analysis), which is an ordination technique, the sites were chosen contiguously with each other. The vegetation structure analysis showed Quercus dentata, Pinus densiflora, Q. mongolica to be the major species at canopy layer, Rhododendron schlippenbachii at the layer below the canopy and Tripterygium regelii at the shrub level. Shannon's diversity index was 1.5315～2.4005 per unit area of 500$m^2$. It appeared that the Quercus dentata forest of this ridge section of Nakdong-jeongmaek is about 30 or 40 years old.

• Journal of Korean Society of Forest Science
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• v.106 no.3
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• pp.362-369
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• 2017

This study was carried out to provide basic data for active control of the anticipated damage through investigation and analysis of geographical and spatial occurrence distribution of oak wilt disease area. The damage of oak wilt disease was analyzed by investigating all the damage trees caused by oak wilt disease from 2011 to 2015 in three areas of Gwangtan-myeon, Paju-si, Gyeonggi -do. As a result, the closer to the ridge the more damage of the oak wilt was generated. Therefore, it is necessary to select the central management area from 0 to 40 m based on the ridge line for more effective control, and to intensively control the area. Also, it is difficult to predict the occurrence of damage by the slope because the damage situation represent differently by the region. By the diameter class, it was analyzed that the number of damaged trees was the largest in the average diameter class with the most number of the trees in each region.

• Journal of Microbiology and Biotechnology
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• v.7 no.5
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• pp.352-355
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• 1997

The promoter region of the pupA gene of Pseudomonas putida WCS358 was fused with the structural genes for bioluminescence (luxCDABE) from Vibrio fischeri, and the resulting fusion plasmid harbored by the WCS358 host. The pup-lux fusion gene was then used for quantitative analysis of the iron-dependence of pupA promoter activity. Factors affecting bioluminescence produced by the pup-lux bioreporter were found to be cell activity, iron-chelator concentrations, Fe(III) concentrations, and nutrient components. Light production rates of the pup-lux bioreporter were inversely dependent upon iron molecules when $FeCl_3$ concentrations were between $10^{-2}$ and 1 ${\mu}M$ in nutrient-poor minimal media, and between 0.1 and 10 mM in nutrient-rich complex media.

• The Korean Journal of Malacology
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• v.23 no.2
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• pp.155-164
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• 2007

A new species, Arca koumaci Lutaenko et Maestrati n. sp. (Bivalvia: Arcidae), is described from New Caledonia. The species is characterized by the small size, the convex shell with a strong posterior umbonal ridge covered by spikes, the widely curved ventral margin, and presence of cancellate sculpture and convergent marginal teeth. Presence of spikes on the posterior ridge is a unique morphological feature recorded for the first time in the genus. It is proposed that the only subgenus, namely Pliocene A. (Arcoptera) Heilprin, 1887, apart from nominative, can be recognized in the genus. Three morphological types are distinguished within the genus based on shell shape and sculpture. Bathymetric analysis shows that representatives of Arca inhabit water depths down to 175 m, and more than half of Recent species were found below 50 m. Types of A. bouvieri P. Fischer, 1874, Arca boucardi Jousseaume, 1894, Arca avellana Lamarck, 1819, and Arca retusa Lamarck, 1819 are illustrated.

• Journal of Korean Institute of Industrial Engineers
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• v.42 no.5
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• pp.314-326
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• 2016

The purpose of variable selection techniques is to select a subset of relevant variables for a particular learning algorithm in order to improve the accuracy of prediction model and improve the efficiency of the model. We conduct an empirical analysis to evaluate and compare seven well-known variable selection techniques for multiple linear regression model, which is one of the most commonly used regression model in practice. The variable selection techniques we apply are forward selection, backward elimination, stepwise selection, genetic algorithm (GA), ridge regression, lasso (Least Absolute Shrinkage and Selection Operator) and elastic net. Based on the experiment with 49 regression data sets, it is found that GA resulted in the lowest error rates while lasso most significantly reduces the number of variables. In terms of computational efficiency, forward/backward elimination and lasso requires less time than the other techniques.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.47 no.11
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• pp.43-48
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• 2010

The main features of a dielectric-loaded surface plasmon polariton waveguide are analyzed such as mode effective index and propagation length. These parameters are calculated using the finite element method for different metal-polymer pairs while varying the ridge width and thickness. As a performance metric, we employ the 2D figure of merit including two conflicting parameters i.e. mode effective index and propagation length. The results obtained here allow one to identify the parameter range for realizing the dielectric-loaded surface plasmon polariton waveguide and to choose dimension and material of the ridge for subwavelength confinement and moderate propagation loss at telecom wavelengths.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2004.03a
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• pp.532-543
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• 2004

The present work have been developed the interpretation processor including the behavior of material failure and the separation phenomena under transient dynamic loading (the operation of explosive bolt) using AUTODYN V4.3, SoildWork 2003 and TrueGrid V2.1 programs. It has been demonstrated that the interpretation in ridge-cut explosive bolt under dynamic loading condition should be necessary to the appropriate failure model and the basic stress of bolt failure is the principal stress. The use of this interpretation processor developing the present work could be extensively helped to design the shape and the amount of explosives in the explosive bolt having a complex geometry. It is also proved that the interpretation processor approach is an accurate and effective analysis technique to evaluate the separation mechanism in explosive bolts.

• KSBB Journal
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• v.15 no.4
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• pp.393-397
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• 2000

The cometaboic biodegradation conditionso f trichloroethylene(TCE) by Burkholderia cepacia G4 were optimized using response surface analysis. The experimental sets of phenol concentration temperature and pH were designed using central composite experimental design. The optimal conditions of phenol concentration temperature and pH were determined to be 0.91 ppm 21.5$^{\circ}C$ and 7.65 respectively by the Ridge analysis of the contour plot for TCE biodegradation rates. The TCE biodegradation rate could be enhanced up to 2.43 nmol.mg protein$.$min by response surface methodology.

• The Korean Journal of Zoology
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• v.25 no.3
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• pp.149-153
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• 1982

1. 피부융선의 발생과 발달 2. Dermatoglyphics의 방법 a. Ridge detail b. Pattern configurations c. Quantitative analysis 3. 응용 a. 인류학적 응용 b. 염색체이상과 Dermatoglyphics c. 정신박약과 Dermatoglyphics 4. 학회 International Dermatoglyphics Association President; J. Mavalwala (Univ. of Toronto) Treasurer; R. L. Jantz (Univ. of Tennessee)

• Korean Journal of Environment and Ecology
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• v.32 no.4
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• pp.413-424
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• 2018

The study analyzed the effects of topographic structures and altitude in mountainous parks in Mt. Namsan in Gyeongju on the generation of anions. The temperature was at ridge ($9.82^{\circ}C$) > valley ($8.44^{\circ}C$), the relative humidity valley (59.01 %) > ridge (58.64 %), the solar radiation ridge ($34.40W/m^2$) > valley($14.69W/m^2$), the wind speed ridge (0.63m/s) > valley(0.37m/s), and the negative ion valley($636.81ea/cm^3$) > ridge($580.04ea/cm^3$). In the valley, the correlation with altitude was verified for the temperature, relative humidity, solar radiation, and negative ion generation in the valley. The relative humidity, solar radiation, and negative ion indicated a positive correlation while the temperature had a negative correlation. In the ridge, the correlation with altitude was verified for the temperature, relative humidity, wind speed, solar radiation, and negative ion generation. The relative humidity, solar radiation, and negative ion generation indicated a positive correlation while the temperature and wind speed had a negative correlation. The regression analysis showed the prediction equation of y=-0.006x+9.663 (x=altitude, y=temperature) in the valley and y=-0.009x+11.595 (x=altitude, y=temperature) in the ridge for the temperature, y=0.027x+53.561 (x=altitude, y=relative humidity) in the valley and y=0.008x+56.646 (x=altitude, y=relative humidity) in the ridges for the relative humidity, and y=0.027x+53.561 (x=altitude, y=negative Ion generation) in the valley and y= 0.008x+56.646 (x=altitude, y=negative Ion generation) in the ridge for the negative ion generation.