• Conservation Science in Museum
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• v.2
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• pp.51-55
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• 2000

This study is an analysis of residual fatty acid of the unidentified 26 fish bone samples which were excavated from Bupchon-ri in Wonju, Kangwon province. The purpose of this study is to identify fish kind by comparing the residual fatty acid analysis with the reference data of croaker, shark, herring and weakfish. Fatty acid was separated by gas chromatography and distribution pattern was analyzed by calculating composition of each sample. Principal component analysis(PCA), one of multivariate analysis method was used to understand fatty acid distribution data.

• Journal of the Korean earth science society
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• v.35 no.6
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• pp.429-438
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• 2014

Recent three years of geomagnetic data were analyzed using a method of Principal Component Analysis (PCA) and Wavelet Based Semblance Analysis to investigate any geomagnetic variation caused by earthquakes. This method predicts the geomagnetic variation using the PCA analysis of geomagnetic data, then compares the predicted geomagnetic field with the observation of finding any significant residual. Although it is well known that geomagnetic variation is related with earthquake, most analyses have been limited to some specific cases reflecting the correlation. In this study, we analyze seventeen cases of earthquakes that occurred in and around the Korean peninsula from 2009 to 2011 and that show the precursory and co-seismic relation between the earthquakes and geomagnetic variations.

• Korean Journal of Agricultural Science
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• v.46 no.4
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• pp.827-841
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• 2019

The effect of genetically engineered rice Bt-9 on the diversity and abundance of plant-dwelling insects and spiders was tested under field conditions. Genetically engineered rice Bt-9, expressing mCry1Ac1 from Bacillus thuringiensis, confers resistance to rice leaf roller (Cnaphalocrocis medinalis) and provides tolerance to the herbicide glufosinate (PPT). The study compared Bt-9 and two non-GM reference varieties, Ilmi-byeo and Dongjin-byeo, at LMO isolated fields in Gunwi (Kyungpook National University) and Jeonju (National Institute Agricultural Sciences) in Southern Korea in 2016 - 2017. A total of 40,817 individuals from 62 families and 11 orders were collected from the two living modified organism (LMO) isolated fields. From the three types of rice fields, a total of 13,982, 14,105, and 12,730 individuals from the Bt-9, Ilmi-byeo and Dongjin-byeo were collected, respectively. Throughout the study, the analysis of variance indicated no significant differences (p < 0.05). Multivariate analysis showed that the abundance and diversity of plant dwelling insects were similar. The data on insect species population densities were subjected to principal component analysis (PCA), which did not distinguish among the three varieties, Bt-9 and the non-GM, reference cultivars, during the cultivation years. However, the results of the PCA analysis were completely divided into four groups based on the yearly survey areas. Therefore, there was no evidence for a negative impact of Bt-9 on the above-ground insects and spiders.

• Current Optics and Photonics
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• v.1 no.4
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• pp.412-420
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• 2017

Multinucleated bone resorptive osteoclasts differentiate from bone marrow-derived monocyte/macrophage precursor cells. During osteoclast differentiation, mononuclear pre-osteoclasts change their morphology and biochemical characteristics. In this study, Raman spectroscopy with multivariate techniques such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) were used to extract biochemical information related to various cellular events during osteoclastogenesis. This technique allowed for label-free and noninvasive monitoring of differentiating cells, and clearly discriminated four different time points during osteoclast differentiation. The Raman band intensity showed significant time-dependent changes that increased up to day 4. The results of Raman spectroscopy agreed with results from atomic force microscopy (AFM) and tartrate-resistant acid phosphatase (TRAP) staining, a conventional biological assay. Under AFM, normal spindle-like mononuclear pre-osteoclasts became round and smaller at day 2 after treatment with a receptor activator of nuclear $factor-{\kappa}B$ ligand and they formed multinucleated giant cells at day 4. Thus, Raman spectroscopy, in combination with PCA-LDA, may be useful for noninvasive label-free quality assessment of cell status during osteoclast differentiation, enabling more efficient optimization of the bioprocesses.

• Proceedings of the Korean Vacuum Society Conference
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• 2013.02a
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• pp.275-275
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• 2013

Formation and characterization of self-assembled monolayers (SAMs) on various surfaces are the essential basis for many other applications, including molecular switches, biosensors, microfluidics, and fundamental studies in surfaces and interfaces. To improve the performance at these applications, it is a key to control the quantity of each molecule in various mixed SAMs on the surface. In this study, using mixed SAM of carbamate-based hydroquinone (HQ)-PhBr and11-mercaptoundecanol, the quantitative mass spectrometric method of mixed SAM was developed based on comparison study with XPS and FT-IR methods. In addition, our method was applied to another mixed SAM of biotinylated PEG alkane thiol and 11-mercaptoundecanol for verification purpose. Time-of-flight secondary mass spectrometry (ToF-SIMS) analysis was performed to identify and quantify each molecule of mixed SAM along with principal component analysis (PCA). Since there is no matrix effect in the X-ray photoelectron spectroscopy (XPS) and Fourier transform-infrared (FT-IR) techniques, we compared ToF-SIMS results with XPS and FT-IR results. Because PCA results from ToF-SIMS analysis are well matched with XPS and FT-IR results from both mixed SAMs, we are expecting that our method will be useful to identify and quantify each molecule in various mixed SAMs.

• The KIPS Transactions:PartB
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• v.16B no.4
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• pp.299-308
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• 2009

AAM(Active Appearance Model) is an algorithm to extract face feature points with statistical models of shape and texture information based on PCA(Principal Component Analysis). This method is widely used for face recognition, face modeling and expression recognition. However, the detection performance of AAM algorithm is sensitive to initial value and the AAM method has the problem that detection error is increased when an input image is quite different from training data. Especially, the algorithm shows high accuracy in case of closed lips but the detection error is increased in case of opened lips and deformed lips according to the facial expression of user. To solve these problems, we propose the improved AAM algorithm using lip feature points which is extracted based on a new lip detection algorithm. In this paper, we select a searching region based on the face feature points which are detected by AAM algorithm. And lip corner points are extracted by using Canny edge detection and histogram projection method in the selected searching region. Then, lip region is accurately detected by combining color and edge information of lip in the searching region which is adjusted based on the position of the detected lip corners. Based on that, the accuracy and processing speed of lip detection are improved. Experimental results showed that the RMS(Root Mean Square) error of the proposed method was reduced as much as 4.21 pixels compared to that only using AAM algorithm.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.39 no.4
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• pp.429-441
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• 2002

This paper concerns extracting 3D motion information from a 3D input device in real time focused to enabling effective human-computer interaction. In particular, we develop a novel algorithm for extracting 6 degrees-of-freedom motion information from a 3D input device by employing an epipolar geometry of stereo camera, color, motion, and structure information, free from requiring the aid of camera calibration object. To extract 3D motion, we first determine the epipolar geometry of stereo camera by computing the perspective projection matrix and perspective distortion matrix. We then incorporate the proposed Motion Adaptive Weighted Unmatched Pixel Count algorithm performing color transformation, unmatched pixel counting, discrete Kalman filtering, and principal component analysis. The extracted 3D motion information can be applied to controlling virtual objects or aiding the navigation device that controls the viewpoint of a user in virtual reality setting. Since the stereo vision-based 3D input device is wireless, it provides users with a means for more natural and efficient interface, thus effectively realizing a feeling of immersion.

• The Journal of the Acoustical Society of Korea
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• v.35 no.1
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• pp.74-82
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• 2016

In this paper, a new automatic speech recognition (ASR) was proposed where ultrasonic doppler signals were used, instead of conventional speech signals. The proposed method has the advantages over the conventional speech/non-speech-based ASR including robustness against acoustic noises and user comfortability associated with usage of the non-contact sensor. In the method proposed herein, 40 kHz ultrasonic signal was radiated toward to the mouth and the reflected ultrasonic signals were then received. Frequency shift caused by the doppler effects was used to implement ASR. The proposed method employed multi-channel ultrasonic signals acquired from the various locations, which is different from the previous method where single channel ultrasonic signal was employed. The PCA(Principal Component Analysis) coefficients were used as the features of ASR in which hidden markov model (HMM) with left-right model was adopted. To verify the feasibility of the proposed ASR, the speech recognition experiment was carried out the 60 Korean isolated words obtained from the six speakers. Moreover, the experiment results showed that the overall word recognition rates were comparable with the conventional speech-based ASR methods and the performance of the proposed method was superior to the conventional signal channel ASR method. Especially, the average recognition rate of 90 % was maintained under the noise environments.

• Journal of Wetlands Research
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• v.14 no.4
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• pp.597-605
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• 2012

This study was conducted in order to determine changes in the growth responses of Quercus serrata and Q. aliena which are potential natural vegetation of riverine in Korea under four light gradients within ambient and elevated $CO_2$ concentration and temperature levels. As a result, growth responses of two species were affected by light factor. Aboveground, belowground, plant biomass and root:shoot ratio of two species grown under the control and treatment were increased in the highest light level. Plant biomass and root:shoot ratio of two oak species were not significantly affected by elevated $CO_2$ and temperature, while aboveground biomass of them was lower in the treatment than control. Belowground biomass of Q. serrata was lower in the treatment than control under the gradients that are more than 70% of light level. As light intensity increases, elevated $CO_2$ and temperature promoted root growth of two oak species but had a negative effect on aboveground growth. According to the principal component analysis(PCA), two oak species were discriminatively arranged based on factor 1 and 2. Also, the reactions towards the ambient and elevated $CO_2$ and temperature were slightly different. It is clearly visible that all features relied on axis 1 and axis II are highly correlated with most variables except for stem and shoot length.

• Current Research on Agriculture and Life Sciences
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• v.13
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• pp.45-53
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• 1995

This research was conducted to investigate morphological and genetic variation of Allium victorialis val. platyphyllum which growed wild in Mt. Hambaek, Mt. Odae, and Ullungdo. The tree layer of Allium victorialis var. platyphyllum community in Mt. Hambaek and Mt. Odae was dominated by Quercus mongolica. The tree layer of Ullungdo generally consist of Fagus crenata var. multinervis, Acer triflorum, Sorbus commixta, and Tilia insularis. In the herb layer, Rumohra standishii, Trillium tschonoskii, and Lilium hansonii are common at Allium victorialis var. platyphyllum community in Ullungdo. The vegetation in Ullungdo was widely different from those in Mt. Hambaek and Mt. Odae by species composition. The result of Principal Component Analysis(PCA) and Canonical Discriminent Analysis of by the 8 characters showed that Allium victorialis var. platyphyllum could be classified into 2 groups: (one ; Mt. Hambaek and Mt. Odae, the other ; Ullungdo). In PCA, the major factors in the first principal component group was angle of leaf apex. Variation of band by isozyme GOT(glautamate oxaloaccetate transaminase) is similar between Mt. Hambaek and Mt. Odae. However, Ullungdo differed from Mt. Hambaek and Mt. Odae in variation of bands.