• Korean Journal of Plant Taxonomy
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• v.39 no.3
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• pp.181-192
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• 2009

Sambucus pendula Nakai, which is an endemic on Ulleung Island of Korea, is characterized by a large pendulous inflorescence and small fruit. A set of 256 individuals were used to investigate the patterns of intraspecific variation of S. racemosa subsp. kamtchatica, S. racemosa subsp. sieboldiana, and S. williamsii including S. pendula using PCA (principal components analysis). This analysis showed that S. pendula was distinct based on its large inflorescence and long peduncle. Our data showed a morphological distinction between subsp. kamtchatica from northeastern areas and subsp. sieboldiana from Jeju Island, but the two taxa overlap in the southern and eastern parts of Korea in terms of chromosome number, color of style, and allozyme data. Our study agrees that S. pendula on Ulleung Island may be the result of genetic drift that occurred during isolation since the Quarternary period. This has been suggested as a reason for the genetic differences observed between two taxa and would explain the unique variation patterns of S. pendula. However, the morphological differentiation between the S. racemosa complex and S. pendula is not considered sufficient to warrant recognition of specific status. Therefore, we recommend that only one polymorphic species of S. racemosa in Eurasia be recognized and that S. pendula be considered a subspecies of S. racemosa.

• Korean Journal of Plant Taxonomy
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• v.48 no.3
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• pp.230-247
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• 2018

We conducted principal component analyses using the quantitative characteristics of the genus Sorbaria to investigate and explore morphological variation and diagnostic characteristics. The genus Sorbaria was divided into two groups based on erect or pendulous inflorescence, the existence of hairs on the ovary and follicle surfaces, the number of stamens, and the shape of the sepal. As a result of our investigation and of a morphometric analysis, these two groups could be also classified using quantitative characteristics, in this case the number of leaflets, the size of the leaflets, the width of the inflorescence, the size of the sepal, the petal, and the follicles and seeds. In the Sorbifolia group (S. grandiflora and S. sorbifolia complex), the size of lateral leaflets, number of veins, gland and stellate density on the abaxial surface of leaflets, and the petal and follicle size were found to be useful identification characteristics. The terminal and lateral leaflet size and the gland and stellate density on the abaxial surface of the leaflets were found to be characters of taxonomic value for the Kirilowii group (S. arborea complex, S. kirilowii, and S. tomentosa complex). The results of the numerical analysis conducted here can provide valuable information to those reconsidering and delimiting a taxonomic revision of the genus Sorbaria.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.1
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• pp.208-215
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• 2020

This study investigated the relationship among gait variables and physical fitness variables for Korean elderly people. Two hundred elderly people aged 65 to 85, (100 men and 100 women) participated in this study. They performed senior fitness test consisting of 6 tests, 3 additional physical tests (vertical jump, one leg stand, and grip force), body composition measures, and gait test. The gait test used shoes having an inertia measurement device in the outer-soles. The results indicated that the stride length, 6-min walking, lean body mass, and dumbbell curls were significantly affected by age (the above 75 group vs. the below 75 group). Among 33 measured parameters, the principal component analysis (PCA) revealed five PCs such as gait characteristics, physical features, gait variability, and fitness levels. In addition, the correlation analysis showed that the preferred walking speed was significantly, positively associated with stride length and single support time, whereas it was negatively associated with double support time and gait variability.(Ed note: please confirm my modification) In conclusion, sarcopenia should be avoided in elderly people, and resistance exercise is highly recommended to help elderly people maintain their gait ability.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.11
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• pp.2105-2110
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• 2008

Embedding the compact wearable units to monitor the health status of a person has been analysed as a convenient solution for the home health care. This paper presents a method to detect fall from the other activities of daily living and also to classify those activities. This kind of ambulatory monitoring of the elderly and people with limited mobility can not only provide their general health status but also alarms whenever an emergency such as fall or gait has been occurred and a help is needed. A timely assistance in such a situation can reduce the loss of life. This work shows a detailed analysis of the data received from a chest worn sensor unit embedding a 3-axis accelerometer and depicts which features are important for the classification of human activities. How to arrange and reduce the features to a new feature set so that it can be classified using a simple classifier and also improving the classification resolution. Principal component analysis (PCA) has been used for modifying the feature set and afterwards for reducing the size of the same. Finally a Neural network classifier has been used to analyse the classification accuracies. The accuracy for detection of fall events was found to be 86%. The overall accuracy for the classification of Activities or daily living (ADL) and fall was around 94%.

• Journal of the Korean Society of Food Culture
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• v.22 no.4
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• pp.462-467
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• 2007

Volatile components of six commercial $sauces(A{\sim}F)$ and $\hat{O}yuk-jang$(G, H), a Korean traditional fermented sauce, were analyzed by electronic nose based on GC with surface acoustic wave(SAW) sensor. The obtained data were used for pattern recognition and a visual pattern called a $VaporPrint^{TM}$, derived from the frequency and chromatogram of the GC-SAW sensor. Volatile components of sauces and $\hat{O}yuk-jang$ were well discriminated with the direct use of $VaporPrint^{TM}$. Commercial sauces and $\hat{O}yuk-jang$ showed different volatile patterns, respectively, due to different major material, which meju, beef extract, pickled anchovies, and Katsuobushi were used. Volatile components of Oyuk-jang were decreased drastically during the fermentation time. After boiling $\hat{O}yuk-jang$, new several peaks were found. The responses by electronic nose were used for principal component analysis. The PCA plot showed that volatile components pattern were well discriminated by first principal component score(proportion: 96.8%), and first principal component score of $\hat{O}yuk-jang$ was between soy sauce of the liquid extracted from beef and sauce of pickled anchovies.

• Journal of the Korea Institute of Military Science and Technology
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• v.14 no.4
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• pp.719-725
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• 2011

To apply TMAH-based Py-MS to a field biological detection system for real-time classification of cell-type, reproducible patterns of the TMAH-based Py-MS spectra was known as a critical factor for classification but was seriously disturbed by quantity of cells injected into pyro-tube. This factor is an exterior variable that could not be complemented by improving the performance of the TMAH-based Py-MS instrument. One of idea to solve the knotty problem has been flashed from "Top-down proteomics for identification of intact microoganisms". That is, biomarker peaks are selected from complicate Py-MS spectra for intact microoganisms by tracing out their origins, based on Py-MS spectra for the featured components of different cell-types, in Top-down approach. This idea has been tested in classification of different Gram-type microoganisms. Through the analyses of spectra for the featured components - peptidoglycan and lipoteichoic acid for Gram-positive cells and lipopolysaccharide and lipid A for Gram-negative cells - with comparing to the spectra the corresponding Gram-type cells in the Top-down approach, biomarker peaks were selected to carry out PCA(Principal Component Analysis) in order to see classification of different Gram-types, resulting in significant improvement of their classification. Furthermore, weighting biomarker peaks on intact cell's spectra, based on the data for the featured components of the Gram-types, contributed to elevate classification performance.

• Korean Journal of Plant Taxonomy
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• v.33 no.4
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• pp.359-371
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• 2003

Numerical analyses using 28 morphological characters from 14 populations of four Korean Orostachys species were conducted to investigate infra-specific variation and to test species relationships. The resulting phenogram recognized three distinct clusters, and the populations of O. malacophyllus, O. iwarenge and O. minutus were closely related each other. The populations of O. japonicus from Gaeksanri (I) and Gadeuk-do were isolated from the remaining populations of the species, and it suggests that the ranges of morphological variation within the species are significant, and related to the previous cytological variation. The Jungdongjin population of O. malacophyllus was not grouped together with the same species, but was clustered with the populations of the O. japonicus, and suggested that it seems to be an unrelated population in O. malacophyllus. The results of the PCA analysis recognized two distinct groups: the populations of O. japonicus and remaining species populations. The populations of O. malacophyllus, O. minutus and O. iwarenge placed within the closely related species.

• Conservation Science in Museum
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• v.28
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• pp.89-108
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• 2022

Among about 500,000 characters in metal types in National Museum of Korea, this study conducts a statistical analysis of 62 metal types from the early Joseon Dynasty, including 33 gabinja (甲寅字) types and 29 eulhaeja (乙亥字) Hangeul types by examining the shape, measuring the specific gravity, and identifying the components based on previously-studied Joseon metal types. Among them, 33 gabinja types and 24 eulhaeja types were made of two-component bronze (copper and tin) (Group A), and four eulhaeja types were produced with three-component bronze (copper, tin and lead). (Group B), and one eulhaeja type was created with two-component bronze (copper and tin) with a high tin content (Group C). By comparing with imjinja (壬辰字) types of the late Joseon Dynasty based on multiple statistical analyses of type components, this study confirms that late-Joseon types have low copper content and high zinc and lead content, and therefore it may be possible to distinguish between the types of early and late Joseon Dynasty.

• Journal of the Korean Society of Marine Environment & Safety
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• v.19 no.5
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• pp.439-458
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• 2013

Temporal and spatial variations of water quality were investigated in the Cheonsu Bay of Yellow Sea, Korea from 2010 to 2011. Water samples were collected at 16 stations and physicochemical parameters were analyzed including water temperature, salinity, suspended solids (SS), chemical oxygen demand (COD), dissolved oxygen (DO), Chlorophyll a and nutrients. Spatial distribution patterns of all survey items were not clear among stations but the bimonthly variations were distinct except the bottom water of the suspended solids. The trend analysis by principal component analysis (PCA) during 2 years revealed the significant variations in water quality in the study area. Spatial water qualities were discriminated into 3 clusters by PCA; station cluster in the surface water 1, 2~11, and 12~16, the bottom water 1, 2~7, and 8~16. Annual bimonthly water qualities were clearly discriminated into 3 clusters by PCA. But tend of cluster in the surface and bottom water was difference, period most of the research was low in nutrient. Ecology-based water quality criteria was a good level of grade II. Bimonthly results are shown as III grade(normal) at June and August, II grade(good) at October and December and I grade for February and April. Water quality was showed by the input of fresh water same as those of Kyoungin coastal area, Asan coastal area, Gunsan coastal and Mokpo coastal area in the Cheonsu.

• Korean Journal of Remote Sensing
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• v.29 no.5
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• pp.569-579
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• 2013

In this study, land-cover classification was implemented using features extracted from multi-temporal SAR data through 3D wavelet transform and the applicability of the 3D wavelet transform as a feature extraction approach was evaluated. The feature extraction stage based on 3D wavelet transform was first carried out before the classification and the extracted features were used as input for land-cover classification. For a comparison purpose, original image data without the feature extraction stage and Principal Component Analysis (PCA) based features were also classified. Multi-temporal Radarsat-1 data acquired at Dangjin, Korea was used for this experiment and five land-cover classes including paddy fields, dry fields, forest, water, and built up areas were considered for classification. According to the discrimination capability analysis, the characteristics of dry field and forest were similar, so it was very difficult to distinguish these two classes. When using wavelet-based features, classification accuracy was generally improved except built-up class. Especially the improvement of accuracy for dry field and forest classes was achieved. This improvement may be attributed to the wavelet transform procedure decomposing multi-temporal data not only temporally but also spatially. This experiment result shows that 3D wavelet transform would be an effective tool for feature extraction from multi-temporal data although this procedure should be tested to other sensors or other areas through extensive experiments.