• Natural Product Sciences
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• 제24권3호
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• pp.164-170
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• 2018

Rapid geographical classification of Bupleuri Radix is important in quality control. In this study, near infrared spectroscopy (NIRS) combined with supervised pattern recognition was attempted to classify Bupleuri Radix according to geographical origins. Three supervised pattern recognitions methods, partial least square discriminant analysis (PLS-DA), quadratic discriminant analysis (QDA) and radial basis function support vector machine (RBF-SVM), were performed to establish the classification models. The QDA and RBF-SVM models were performed based on principal component analysis (PCA). The number of principal components (PCs) was optimized by cross-validation in the model. The results showed that the performance of the QDA model is the optimum among the three models. The optimized QDA model was obtained when 7 PCs were used; the classification rates of the QDA model in the training and test sets are 97.8% and 95.2% respectively. The overall results showed that NIRS combined with supervised pattern recognition could be applied to classify Bupleuri Radix according to geographical origin.

• Journal of Biosystems Engineering
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• 제42권4호
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• pp.293-300
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• 2017

Purpose: This study aims to propose a method for fast geographical origin discrimination between domestic and imported rice using a visible/near-infrared (VNIR) hyperspectral imaging technique. Methods: Hyperspectral reflectance images of South Korean and Chinese rice samples were obtained in the range of 400 nm to 1000 nm. Partial least square discriminant analysis (PLS-DA) models were developed and applied to the acquired images to determine the geographical origin of the rice samples. Results: The optimal pixel dimensions and spectral pretreatment conditions for the hyperspectral images were identified to improve the discrimination accuracy. The results revealed that the highest accuracy was achieved when the hyperspectral image's pixel dimension was $3.0mm{\times}3.0mm$. Furthermore, the geographical origin discrimination models achieved a discrimination accuracy of over 99.99% upon application of a first-order derivative, second-order derivative, maximum normalization, or baseline pretreatment. Conclusions: The results demonstrated that the VNIR hyperspectral imaging technique can be used to discriminate geographical origins of rice.

• 대한지리학회지
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• 제37권3호
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• pp.247-261
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• 2002

본 논문은 지리과 교수-학습에서 학습자의 일상생활경험을 바탕으로 한 내용과 방법이 지리지식과 접목되었을 때, 지리과 교육의 목표성취에 보다 효과적임을 제시하고자 한다. 생활중심 교수-학습에서는 지리학과 지리교육과정에서 도출된 과학적.체계적인 비일상적 지리개념이 내용선정의 범위를 이루고, 그러한 개념들의 체계적인 위계가 내용조직의 계열성을 대신할 수 있을 것이다. 또한 내용 구성의 실제에 있어서는 이러한 개념들이 학습자들의 생활세계에서 경험되는 자연발생적이고도 일상적이며. 구체적인 지리적 요소로부터 이해될 수 있도록 선정.조직되어야 함을 논의하였다. 지리과 생활중심 교수-학습 내용의 선정준거로는 일상적으로 학습자의 생활이 이루어지는 지역공간을 토대로 한 내용, 체계적인 지리개념을 효과적으로 인식 할 수 있는 일상생활의 구체적 내용, 변화하는 생활공간에 대한 학습자들의 지리적 생활경험을 반영하는 내용을 제시하였다. 마지막으로 제시된 준거를 바탕으로 지리과 교육과정의 '환경문제와 지역문제'단원을 선정하여, 생활중심 교수-학습의 실제내용을 선정 개발하였다.

• 한국측량학회지
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• 제4권1호
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• pp.37-42
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• 1986

This paper deals with comparison of simultaneous geodetic networks between with geographical coordinates and with plane coordinates. The adjustment computation is performed by variation of coordinates. Provisional values for observation equations are computed by extended Guass mid-latitude formula using, official coordinates ($\varphi,\lambda$) in geographical network abjustment, measurements are reduced to plane by origin scale factor (＝1.0000) Bessel ellipsoid and unit weight are adopted, and geographical coordinates are projected by Guass conformal double projection. The processing results of a test-network by distances yield the average root mean square error of position 6ㆍ2cm for adjustment with $\varphi,\lambda$ and 5.8cm for adjustment with X, Y. RMSE of discrepancy between two methods is 1.7cm. This result conform to required accracy.

• 대한간호학회지
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• 제36권6호
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• pp.1042-1054
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• 2006

Purpose: Previous evaluation studies of the visiting nursing program explained an average change of the participants' health status, without considering socio-ecological characteristics and their impacts. However, these factors must affect individual health problems and lifestyles. For effective and appropriate community based programs, the Geographical Information System(GIS) can be utilized. GIS is a computer-based tool for mapping and analyzing things that happen on earth, and integrates statistical analysis with unique visualization. The purpose of this study was to evaluate visiting nursing care and to advocate the usefulness of planning and evaluating visiting nursing programs using Exploratory Spatial Data Analysis(ESDA) with GIS technology. Methods: One hundred eighty-four elderly participants with cerebrovascular risk factors who lived in 13 areas of one community received visiting nursing care. The data analyzed characteristics of pre-post change and autocorrelation by ESDA using GIS technology. Results: Visiting nursing care showed an improvement in the participants' lifestyle habits, and family management ability and stress level, while the improvements were different depending on the regions. The change of family management ability and stress level correlated with neighborhoods (Morgan's I=0.1841, 0.1675). Conclusions: Community health providers need to consider the individual participant's health status as well as socio-ecological factors. Analysis using GIS technology will contribute to the effective monitoring, evaluation and design of a visiting nursing program.

• The Journal of Asian Finance, Economics and Business
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• 제7권4호
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• pp.235-245
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• 2020

The study seeks to identify factors affecting the choice of a university by first-year Business Administration students in Vietnam. Probability sampling is using Stratified sampling of 500 students from five private universities in Ho Chi Minh City surveyed by convenience sampling. This paper employs mixed research methods - measuring Cronbach's Alpha, EFA, Regression and using PATH model - to test the hypotheses of the research model. The results of the study identify five factors: Prestige, Geographical location, Facilities, Attractiveness of the field and Media. All these factors have a positive influence on the standing of the university brand. It means that the higher the Prestige, Geographical location, Facilities, Attractiveness of the field and Media, the higher the university brand. The results indicate that Geographical location is the most influential factor to enhance the private university's brand. Bringing Geographical location is, thus, advisable to enhance a university standing. The brand plays a determining role in students' trust when selecting a university. Media is still the top concern of new students when they choose to study at a university. Media still remains an important consideration for new students when choosing a university. So, this factor should be utilized by universities to enhance their attractiveness.

• Mycobiology
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• 제49권3호
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• pp.235-248
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• 2021

This study aimed to understand whether the geo-ecological segregation of native plant species affects the root-associated fungal community. Rhizoplane (RP) and rhizosphere (RS) fungal microbiota of Sedum takesimense native to three geographically segregated coastal regions (volcanic ocean islands) were analyzed using culture-independent methods: 568,507 quality sequences, 1399 operational taxonomic units, five phyla, and 181 genera were obtained. Across all regions, significant differences in the phyla distribution and ratio were confirmed. The Chao's richness value was greater for RS than for RP, and this variance coincided with the number of genera. In contrast, the dominance of specific genera in the RS (Simpson value) was lower than the RP at all sites. The taxonomic identity of most fungal species (95%) closely interacting with the common host plant was different. Meanwhile, a considerable number of RP only residing fungal genera were thought to have close interdependency on their host halophyte. Among these, Metarhizium was the sole genus common to all sites. These suggest that the relationship between potential symbiotic fungi and their host halophyte species evolved with a regional dependency, in the same halophyte species, and of the same natural habitat (volcanic islands); further, the fungal community differenced in distinct geographical regions. Importantly, geographical segregation should be accounted for in national culture collections, based on taxonomical uniqueness.

• 한국식품과학회지
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• 제48권5호
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• pp.418-423
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• 2016

근적외선분광분석기와 에너지 분산형 X선 형광분석기를 이용한 분석방법을 개발하여 각각 97.5, 98.0%의 높은 정확도의 판별식을 확립하였고, 시중 유통 시료를 분석하여 검증한 결과 각각 96.3, 95.0%의 판별 정확도를 확인하였다. 이상의 연구 결과를 통하여 근적외선분광분석기와 에너지 분산형 X선 형광분석기를 이용하여 청국장 원산지 판별이 가능함을 확인하였고 이는 유기성분 함량에 따른 근적외선 흡광도와 무기성분 함량에 따른 X선 형광에너지 강도가 국내산과 수입산 간에 차이가 있기 때문으로 사료된다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.325-327
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• 2003

Forest biomass is the basis of forest ecosystem. With the rapid development of remote sensing and computer technology, forest biomass estimation using remote sensing data is paid great attention and has acquired great achievements. This article focuses on discussion of methods of forest biomass estimation methods using Terra/MODIS data in Northeast China. The research include: combining the MODIS time series parameters with seasonal characteristics of forest species to identify major forest species; establishing a model to estimate forest biomass based on forest species; analyzing the effects of the existent forest biomass and increasing biomass on terrestrial carbon cycle. This research can help to make clear the mechanism of carbon cycle.

• 한국환경과학회지
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• 제11권7호
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• pp.697-703
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• 2002

In the present study, space allocation methods of pollutant emission from area and mobile sources are assessed by the actual application to air quality modeling of Pohang area. It is found that the TM-based modeling which allocates emission onto the 1km x 1km sized TM-grid system predicts almost the same mean ground-level concentration as that by the GIS-based modeling which uses geographical information of area and mobile sources directly, while maximum ground-level concentration by the TM-based modeling is predicted considerably lower than that by the GIS-based modeling. Moreover, the problem is found that the TM-based modeling causes deviation of mobile roads. In conclusion, it is anticipated to applying GIS-based modeling for a more accurate assessment of air quality in local scale.