• Journal of KIISE:Computer Systems and Theory
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• v.30 no.10
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• pp.544-555
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• 2003

Since the result data from DNA microarray experiments contain a lot of gene expression information, adequate analysis methods are required. Hierarchical clustering is widely used for analysis of gene expression profiles. In this paper, we study leaf-ordering, which is a post-processing for the dendrograms output by hierarchical clusterings to improve the efficiency of DNA microarray data analysis. At first, we analyze existing leaf-ordering algorithms and then present new approaches for leaf-ordering. And we introduce a software HCLO(Hierarchical Clustering ＆ Leaf-Ordering Tool) that is our implementation of hierarchical clustering, some of existing leaf-ordering algorithms and those presented in this paper.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.8
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• pp.2017-2022
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• 2014

Novel baculovirus vector systems recombined with coding genes of polyhedron promoter, vesicular stomatitis virus G (VSVG), polyA, cytomegalovirus (CMV) promoter, enhanced green fluorescent protein (EGFP), and protein transduction domain (PTD) were constructed. These recombinant baculovirus vector systems were applied into human foreskin fibroblast cells and compared the effects of gene transfer and gene expression of these recombinant baculovirus vector systems with control vector system. From this study, it showed that these novel recombinant baculovirus vector systems were superior efficacy to control vector system in view of gene transfer and gene expression.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.3
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• pp.438-444
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• 2008

In this study, we propose a automatic facial expression generation tool which can generate various facial expressions efficiently for animation characters expressing various emotion. For this purpose, 9 types of facial expressions were defined by adopting Russell's pleasure-displeasure and arousal-sleep coordinate values of infernal states. And by rendering specific coordinate values consisted of the two basic dimensions of emotion(i.e., dimensions of pleasure-displeasure and arousal-sleep) and their combination, the proposed automatic facial expression generation tool could yield various facial expressions which reflected subtle changes in characters' emotion. It is expected that the tool could provide useful method of generating character face with various emotion.

• Applied Microscopy
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• v.48 no.4
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• pp.110-116
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• 2018

Since a transmembrane protein, TMEM16A, also called anoctamin 1 (ANO1), was identified as a bona fide calcium ($Ca^{2+}$)-activated chloride ($Cl^-$) channel (CaCC), there have been many reports on its expression and function. However, limited information on ANO1 expression and function in the brain is still available. In this study, we tried to reexamine expression patterns of ANO1 in the mouse cerebellum and further characterize ANO1-expressing components by immunohistochemical analyses. Strong ANO1 immunoreactivity was observed as large puncta in the granule cell layer and weak to moderate immunoreactivities were observed as small puncta in the molecular and Purkinje cell layers. Double-label experiments revealed that ANO1 did not colocalize with cerebellar neuronal population markers, such as anti-calbindin and anti-NeuN, while it colocalized or intermingled with a presynaptic marker, anti-synaptophysin. These results demonstrate that ANO1 is mainly localized at presynaptic terminals in the cerebellum and involved in synaptic transmission and modulation in cerebellar information processing.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.923-926
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• 2016

Baculovirus vectors were reconstructed using cytomegalovirus (CMV) promoter, polyhedron promoter, vesicular stomatitis virus G (VSVG), enhanced green fluorescent protein (EGFP), and protein transduction domain (PTD) genes. These reconstructed vector was transfected into various cell lines and tissues. We compared this reconstructed vector with other control vectors in view of gene transfer and gene expression. In conclusion, we confirmed that gene transfer and expression of these reconstructed vectors was higher efficient than any other control vector.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.813-815
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• 2014

Novel baculovirus vector systems including genes of polyhedron promoter, vesicular stomatitis virus G (VSVG), polyA, cytomegalovirus (CMV) promoter, enhanced green fluorescent protein (EGFP), and protein transduction domain (PTD) were constructed. These recombinant baculovirus vector systems were transfected into diverse cells of 293T, HepG2, HFF, and Hur7 cells and compared the effects of gene transfer and expression of these vector systems with control vector. From the result, we confirmed that these recombinant baculovirus vector systems were more excellent than control vector in efficacy of gene transfer and expression.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.715-717
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• 2014

In recent wireless communication systems such as Long Term Evolution-Advanced (LTE-A) system, to transmit large multimedia data, high order modulations including 64-ary quadrature amplitude modulation (QAM) are adopted. However, performance of the modulation depends on the signal constellation in the same modulation order. Therefore, a symbol error rate (SER) expression of optimal performance is necessary for analyzing the SER performance of various signal constellation. The optimal signal constellation based on error bound has been previously described, but an exact SER expression has not been derived. In this paper, we propose an exact SER expression of optimal signal constellation for 64-ary QAM.

• Journal of the Korea Society of Computer and Information
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• v.14 no.11
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• pp.73-79
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• 2009

In this paper, a method is proposed that enhances the performance of the facial expression recognition using template matching of Local Binary Pattern(LBP) histogram. In this method, the face image is segmented into blocks, and the LBP histogram is constructed to be used as the feature of the block. Block dissimilarity is calculated between a block of input image and the corresponding block of the model image. Image dissimilarity is defined as the weighted sum of the block dissimilarities. In conventional methods, the block weights are assigned by intuition. In this paper a new method is proposed that optimizes the weights from training samples. An experiment shows the recognition rate is enhanced by the proposed method.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.613-617
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• 2021

According to the growth of the service industry, stresses from emotional labor workers have been emerging as a social problem, thereby so-called the Emotional Labor Protection Act was implemented in 2018. However, insufficient substantial protection systems for emotional workers emphasizes the necessity of a digital stress management system. Thus, in this paper, we suggest a stress detection system for customer service representatives based on deep learning facial expression recognition. This system consists of a real-time face detection module, an emotion classification FER module that deep-learned big data including Korean emotion images, and a monitoring module that only visualizes stress levels. We designed the system to aim to monitor stress and prevent mental illness in emotional workers.

• Proceedings of the IEEK Conference
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• 2001.06c
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• pp.121-124
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• 2001

In this paper, a method of generating the facial gesture CG animation on different avatar models is provided. At first, to edit emotional expressions efficiently, regeneration of the comic expression on different polygonal mesh models is carried out, where the movements of the cheeks and numerical methods. Experimental results show a possibility that the method could be used for intelligent avatar communications between Korea and Japan.