• 한국측량학회지
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• 제31권6_2호
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• pp.593-599
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• 2013

China's Mapping Satellite-1, developed by the China Aerospace Science and Technology Corporation (CASC), was launched in three years ago. The data from Mapping Satellite-1 are able to use for efficient surveying and geometric mapping application field. In this paper, we fuse the panchromatic and multispectral images of Changchun area, which are obtained from the Mapping Satellite-1, the one that is the Chinese first transmission-type three-dimensional mapping satellite. The four traditional image fusion methods, which are HPF, Mod.IHS, Panshar and wavelet transform, were used to approach for effectively fusing Mapping Satellite-1 remote sensing data. Subsequently we assess the results with some commonly used methods, which are known a subjective qualitative evaluation and quantitative statistical analysis approach. Consequently, we found that the wavelet transform remote sensing image fusion is the optimal in the degree of distortion, the ability of performance of details and image information availability among four methods. To further understand the optimal methods to fuse Mapping Satellite-1 images, an additional study is necessary.

• BMB Reports
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• 제28권4호
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• pp.353-358
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• 1995

Epitope tagging is the process of fusing a set of amino acid residues that are recognized as an antigenic determinant to a protein of interest. Tagging a protein with an epitope facilitates various immunochemical analyses of the tagged protein with a specific monoclonal antibody. The monoclonal antibody H8 has subtype specificity for an epitope derived from the preS2 region of hepatitis B virus surface antigen. Previous studies on serial deletions of the preS2 region indicated that the preS2 epitope was located in amino acid residues 130~142. To test whether the amino acid sequence in this interval is sufficient to confer on proteins the antigenicity recognizable by the antibody H8, the set of amino acid residues in the interval was tagged to the amino terminal of ${\beta}$-galactosidase and to the carboxyl terminal of the truncated $p56^{lck}$ fragment. The tagged ${\beta}$-galactosidase, expressed in Escherichia coli, maintained the enzymatic activity and was immunoprecipitated efficiently with H8. The tagged $p56^{lck}$ fragment, synthesized in an in vitro translation system, was also immunoprecipitated specifically with H8. These results demonstrate that the amino acid sequence of the preS2 region can be used efficiently for the epitope tagging approach.

• Journal of Microbiology
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• 제38권3호
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• pp.183-186
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• 2000

Several types of bioluminescent reporter strains have been developed for the detection and monitoring of pollutant aromatics contaminating the environment. In this study, a bioluminescent reporter strain, E. coli SHP3, was constructed by fusing the luc gene of firefly luciferase with the promoter of pcbC responsible for the meta-cleavage of aromatic hydrocarbons. the bioluminescence expressed by the luc gene in the reporter was well triggered by the promoter when it was exposed to 2,3-dihydroxybiphenyI (2,3-DHBP) at 0.5 to 1 mM concentrations. The bioluminescent response was more extensive when the reporter strain was exposed to 5 mM catechol and 2 mM 4-chlorocatechol. These different types of bioluminescent responses by E. coli SHP3 appeared to be characterized by the nature of the aromatics to stress. Since E. coli SHP3 responded to 2,3-DHBP quite sensitively, this reporter strain could be applied for detecting some catecholic pollutants.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권1호
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• pp.196-212
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• 2014

Facial expression recognition is an important part in emotional interaction between human and machine. This paper proposes a facial expression recognition approach based on multi-classifier fusion with stacking algorithm. The kappa-error diagram is employed in base-level classifiers selection, which gains insights about which individual classifier has the better recognition performance and how diverse among them to help improve the recognition accuracy rate by fusing the complementary functions. In order to avoid the influence of the chance factor caused by guessing in algorithm evaluation and get more reliable awareness of algorithm performance, kappa and informedness besides accuracy are utilized as measure criteria in the comparison experiments. To verify the effectiveness of our approach, two public databases are used in the experiments. The experiment results show that compared with individual classifier and two other typical ensemble methods, our proposed stacked ensemble system does recognize facial expression more accurately with less standard deviation. It overcomes the individual classifier's bias and achieves more reliable recognition results.

• Molecules and Cells
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• 제45권11호
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• pp.806-819
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• 2022

Synaptic accumulation of α-synuclein (α-Syn) oligomers and their interactions with VAMP2 have been reported to be the basis of synaptic dysfunction in Parkinson's disease (PD). α-Syn mutants associated with familial PD have also been known to be capable of interacting with VAMP2, but the exact mechanisms resulting from those interactions to eventual synaptic dysfunction are still unclear. Here, we investigate the effect of α-Syn mutant oligomers comprising A30P, E46K, and A53T on VAMP2-embedded vesicles. Specifically, A30P and A53T oligomers cluster vesicles in the presence of VAMP2, which is a shared mechanism with wild type α-Syn oligomers induced by dopamine. On the other hand, E46K oligomers reduce the membrane mobility of the planar bilayers, as revealed by single-particle tracking, and permeabilize the membranes in the presence of VAMP2. In the absence of VAMP2 interactions, E46K oligomers enlarge vesicles by fusing with one another. Our results clearly demonstrate that α-Syn mutant oligomers have aberrant effects on VAMP2-embedded vesicles and the disruption types are distinct depending on the mutant types. This work may provide one of the possible clues to explain the α-Syn mutant-type dependent pathological heterogeneity of familial PD.

• Journal of Microbiology and Biotechnology
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• 제25권2호
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• pp.280-287
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• 2015

Current influenza vaccines are produced in embryonated chicken eggs. However, egg-based vaccines have various problems. To address these problems, recombinant protein vaccines have been developed as new vaccine candidates. Unfortunately, recombinant proteins frequently encounter aggregation and low stability during their biogenesis. It has been previously demonstrated that recombinantly expressed proteins can be greatly stabilized with high solubility by fusing stabilizing peptide (SP) derived from the C-terminal acidic tail of human synuclein (ATS). To investigate whether SP fusion proteins can induce protective immunity in mice, we produced influenza HA and SP fusion protein using a baculovirus expression system. In in vitro tests, SP-fused recombinant HA1 (SP-rHA1) was shown to be more stable than recombinant HA1 (rHA1). Mice were immunized intramuscularly with baculovirus-expressed rHA1 protein or SP-rHA1 protein ($2{\mu}g/mouse$) formulated with aluminum hydroxide. Antibody responses were determined by ELISA and hemagglutination inhibition assay. We observed that SP-rHA1 immunization elicited HA-specific antibody responses that were comparable to rHA1 immunization. These results indicate that fusion of SP to rHA1 does not negatively affect the immunogenicity of the vaccine candidate. Therefore, it is possible to apply SP fusion technology to develop stable recombinant protein vaccines with high solubility.

• Biomolecules & Therapeutics
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• 제22권4호
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• pp.275-281
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• 2014

Autophagy is a series of catabolic process mediating the bulk degradation of intracellular proteins and organelles through formation of a double-membrane vesicle, known as an autophagosome, and fusing with lysosome. Autophagy plays an important role of death-survival decisions in neuronal cells, which may influence to several neurodegenerative disorders including Parkinson's disease. Chebulagic acid, the major constituent of Terminalia chebula and Phyllanthus emblica, is a benzopyran tannin compound with various kinds of beneficial effects. This study was performed to investigate the autophagy enhancing effect of chebulagic acid on human neuroblastoma SH-SY5Y cell lines. We determined the effect of chebulagic acid on expression levels of autophagosome marker proteins such as, DOR/TP53INP2, Golgi-associated ATPase Enhancer of 16 kDa (GATE 16) and Light chain 3 II (LC3 II), as well as those of its upstream pathway proteins, AMP-activated protein kinase (AMPK), mammalian target of rapamycin (mTOR) and Beclin-1. All of those proteins were modulated by chebulagic acid treatment in a way of enhancing the autophagy. Additionally in our study, chebulagic acid also showed a protective effect against 1-methyl-4-phenylpyridinium ($MPP^+$) - induced cytotoxicity which mimics the pathological symptom of Parkinson's disease. This effect seems partially mediated by enhanced autophagy which increased the degradation of aggregated or misfolded proteins from cells. This study suggests that chebulagic acid is an attractive candidate as an autophagy-enhancing agent and therefore, it may provide a promising strategy to prevent or cure the diseases caused by accumulation of abnormal proteins including Parkinson's disease.

• Smart Structures and Systems
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• 제33권1호
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• pp.55-64
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• 2024

This paper proposes a fusion imaging-based coating-defect classification method for steel structures that uses zero-shot learning. In the proposed method, a halogen lamp generates heat energy on the coating surface of a steel structure, and the resulting heat responses are measured by an infrared (IR) camera, while photos of the coating surface are captured by a charge-coupled device (CCD) camera. The measured heat responses and visual images are then analyzed using zero-shot learning to classify the coating defects, and the estimated coating defects are visualized throughout the inspection surface of the steel structure. In contrast to older approaches to coating-defect classification that relied on visual inspection and were limited to surface defects, and older artificial neural network (ANN)-based methods that required large amounts of data for training and validation, the proposed method accurately classifies both internal and external defects and can classify coating defects for unobserved classes that are not included in the training. Additionally, the proposed model easily learns about additional classifying conditions, making it simple to add classes for problems of interest and field application. Based on the results of validation via field testing, the defect-type classification performance is improved 22.7% of accuracy by fusing visual and thermal imaging compared to using only a visual dataset. Furthermore, the classification accuracy of the proposed method on a test dataset with only trained classes is validated to be 100%. With word-embedding vectors for the labels of untrained classes, the classification accuracy of the proposed method is 86.4%.

• 한국인터넷방송통신학회논문지
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• 제8권6호
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• pp.141-146
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• 2008

최근 OGC(Open Geospatial Consortium)의 센서 웹에서는 센서 네트워크에서 수집된 센싱 데이터 및 영상 정보를 저장하고 관리하여 인터넷을 통해 사용자들에게 제공하는 연구가 진행되고 있다. 이와 같은 센싱 데이터 및 영상 정보를 실시간적으로 사용자에게 전달하기 위해서는 센싱 데이터를 비롯하여 오디오 및 비디오를 하나로 묶는 데이터 융합에 대한 연구가 필요하다. 이에 본 논문에서는 센서 네트워크에서 수집된 센싱 데이터와 영상을 인덱스를 이용하여 융합하는 방안을 제시한다. 이 방안에서는 동일한 노드에서 수집된 센싱 데이터와 영상의 식별 정보를 통합 인덱스에 함께 표시하고, 이를 통해 사용자가 질의할 경우 통합 인덱스를 참조하여 센싱 데이터와 영상을 동시에 제공한다. 제안된 방안을 검증하기 위해 센서 네트워크와 영상장치를 이용하여 실시간 멀티미디어 서비스 구조를 설계하고 인덱스 기반의 영상과 센서 데이터를 통합한 유비쿼터스 실시간 멀티미디어 시스템을 설계하고 구현한다. 이를 통하여 제안된 데이터 융합 방안이 영상 장치와 무선 센서 네트워크로부터 수집되는 영상과 센싱 데이터를 통합 인덱스를 이용하여 응용 서비스의 정보 요청에 따라 실시간 멀티미디어 서비스를 제공하는 것을 확인하였다.

• 전자공학회논문지CI
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• 제49권2호
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• pp.61-74
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• 2012

본 논문에서는 MCS-LBP 이진패턴 영상과 2D-PCA 알고리즘을 이용한 조명 변화에 강인한 얼굴인식 시스템에 대하여 제안한다. 이진패턴 변환은 기존의 얼굴인식 및 표정인식 분야에 사용되는 기법으로, 일반적으로 조명 변화에 강인한 특성을 갖는다. 이에 본 논문에서는 기존의 LBP보다 조명 변화에 더 강인한 MCS-LBP를 제안하고, 더불어 2D-PCA 알고리즘과 결합하는 얼굴인식 시스템을 제안한다. 제안하는 얼굴인식 방법의 성능평가는 기존의 다양한 이진패턴 변환 영상과 얼굴인식에 널리 사용되고 있는 PCA, LDA, 2D-PCA 및 가버영상의 ULBP 히스토그램 특징을 사용하여 수행하였다. 다양한 조명변화 환경에서 구축된 YaleB, extended YaleB, CMU-PIE 등의 공인 얼굴 데이터베이스를 이용하여 실험한 결과, 제안하는 MCS-LBP영상과 2D-PCA 특징을 사용한 방법이 가장 우수한 인식 성능을 보였다.