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Gradient-Flow Tensor Divergence Feature for Human Action Recognition
BUI, Ngoc Nam,KIM, Jin Young,KIM, Hyoung-Gook 'Institute of Electronics, Information and Communi 2016 IEICE transactions on fundamentals of electronics, Vol.ea99 No.1
<P>Current research trends in computer vision have tended towards achieving the goal of recognizing human action, due to the potential utility of such recognition in various applications. Among many potential approaches, an approach involving Gaussian Mixture Model (GMM) supervectors with a Support Vector Machine (SVM) and a nonlinear GMM KL kernel has been proven to yield improved performance for recognizing human activities. In this study, based on tensor analysis, we develop and exploit an extended class of action features that we refer to as gradient-flow tensor divergence. The proposed method has shown a best recognition rate of 96.3% for a KTH dataset, and reduced processing time.</P>
Ngoc Nam Bui,So Hee Min,Jin Young Kim 한국정보기술학회 2014 한국정보기술학회논문지 Vol.12 No.3
Human detection is an essential issue in image processing applications such as safety monitoring, interactive game, robot control, etc. However, most of current approaches focus on detecting pedestrians. In this paper, motivated by the high achievements of poselet technique, we propose a combinatorial approach between poselet technique and articulated pose estimation method to provide a robust hybrid structure for human detection in various environments. Also, a novel foreground extraction method, named edge based RPCA, is introduced to handle with the uncertain environments such as high illumination change or camera shaking problem. Then the candidate containing small foreground regions are discarded. In addition, an updating approach for the current human boundaries between consecutive frames are applied to prevent the abrupt change. To verify our proposed approach, the human detection experiments are conducted on the self-recorded database for both indoor and outdoor areas.
Ngoc Nam Bui,Thuong Khanh Tran,So Hee Min(민소희),Jin Young Kim(김진영) 한국정보기술학회 2015 한국정보기술학회논문지 Vol.13 No.3
Human Action Recognition (HAR), in recent years, has attracted much attention from the research community due to its challenges as well as wide applications. In this paper, we investigate Universal Background Model (UBM) based GMM supervector and Support Vector Machine (SVM) with dense trajectories and motion bound features for HAR system. A GMM supervector is obtained by MAP adaptation with UBM and cascading all the mean vector components. After that, supervectors are applied as input features to SVM classifier with several kernels including modified non-linear GMM KL and GUMI kernels. Moreover, we also adopted channel fusion that used to enhance the robustness of classify model. Then we make a comparison and critical analysis between our method with those existing systems. Experimental results demonstrates that the proposed approach performs more efficient than current systems.
Electrochemical patterning of gold nanoparticles on transparent single-walled carbon nanotube films
Bui, Minh-Phuong Ngoc,Lee, Sangyeop,Han, Kwi Nam,Pham, Xuan-Hung,Li, Cheng Ai,Choo, Jaebum,Seong, Gi Hun Royal Society of Chemistry 2009 Chemical communications Vol.2009 No.37
<P>We report a simple, low cost, electrochemical deposition method to pattern gold nanoparticles on flexible, transparent, single-walled carbon nanotube (SWCNT) films, and demonstrate the application of the gold-patterned SWCNT films as surface-enhanced Raman spectroscopy substrates and biosensing electrodes for non-enzymatic glucose detection.</P> <P>Graphic Abstract</P><P>Gold nanoparticles were patterned on flexible and transparent single-walled carbon nanotube films by an electrochemical deposition method, and were used as substrates for surface-enhanced Raman spectroscopy and biosensing electrodes for non-enzymatic glucose detection. <IMG SRC='http://pubs.rsc.org/services/images/RSCpubs.ePlatform.Service.FreeContent.ImageService.svc/ImageService/image/GA?id=b906939a'> </P>
Customer Satisfaction with Less than Container Load Cargo Services in HoChiMinh City, Vietnam
GIAO, Ha Nam Khanh,THY, Nguyen Thi Anh,VUONG, Bui Nhat,TU, Tran Ngoc,VINH, Pham Quang,LIEN, Le Thi Phuong Korea Distribution Science Association 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.8
This research has four specific objectives: (1) identifying factors that affect customer satisfaction with less than container load (LCL) cargo services of logistics companies in HoChiMinh City (HCMC), (2) measuring the level of impact of the factors, (3) testing the difference in satisfaction among groups of customers with different characteristics in terms of type of business and time of using LCL cargo services, and (4) proposing some management implications to improve the quality of LCL cargo services. Researchers interviewed 210 customers who enjoyed the LCL cargo service in HCMC for at least the last six months, using the convenient sampling method. SPSS 20 was used to analyze the reliability of the scale through the Cronbach's alpha coefficient, then exploratory factor analysis and multiple linear regression analysis were used. The results identified the six factors that influence positively customer satisfaction of LCL cargo services of logistics companies in HCMC, by decreasing importance: service process, image, resource, price, management, and outcomes. The results show that there is no difference in customer satisfaction with LCL cargo services by types of business as well as time of using services. The research suggests some implications for the management of logistics companies in HCMC to enhance customer satisfaction.
Han, Kwi Nam,Li, Cheng Ai,Bui, Minh-Phuong Ngoc,Pham, Xuan-Hung,Seong, Gi Hun Royal Society of Chemistry 2011 Chemical communications Vol.47 No.3
<P>We controlled the morphologies of zinc oxide (ZnO) nanostructures on single-walled carbon nanotube electrodes by an electrochemical deposition method and investigated the dependence of the electrocatalytic characteristics toward hydrazine on the different morphologies. ZnO nanorods provided high electrocatalytic activity with unique electrochemical behaviours, associated with the H<SUP>+</SUP> ion generated by the electro-oxidation of hydrazine.</P> <P>Graphic Abstract</P><P>ZnO nanostructures with different morphologies were fabricated on flexible and transparent single-walled carbon nanotube electrodes by an electrochemical deposition method, and the electrocatalytic characteristics toward hydrazine were investigated. <IMG SRC='http://pubs.rsc.org/services/images/RSCpubs.ePlatform.Service.FreeContent.ImageService.svc/ImageService/image/GA?id=c0cc03848b'> </P>
Audio Event Classification Using SVM with GMM-UBM Supervectors
Tan Dat Trinh,Ngoc Nam Bui,So Hee Min,Jin Young Kim 한국정보기술학회 2013 한국정보기술학회논문지 Vol.11 No.11
Audio event recognition is a fascinating and challenging research topic in signal processing, audio retrieval, and pattern recognition. In this paper, we investigate GMM supervector based Universal Background Model (UBM) and Support Vector Machine (SVM) with MFCC features and various kernels for audio event recognition. A GMM supervector is obtained by adapting with UBM and cascading all the mean vector components. After that, the supervectors are applied as input features for SVM classifier. Experimental results belonging to our audio event database demonstrates that the proposed approach outperforms standard GMM-UBM baseline. Moreover, when applying SVM with GUMI kernel, error rate significantly decreases from 26.52% to 14.97% for 16 mixtures.
Thuong Khanh Tran,Ngoc Nam Bui,Jin Young Kim(김진영) 한국정보기술학회 2015 한국정보기술학회논문지 Vol.13 No.1
Human detection is a challenging problem in video processing, which is applied in many fields: robot control, surveillance system, traffic tracking etc. Recently, there have been many publications involving this problem. However, most of methods still focus on pedestrian detection. In this paper, based on the poselet techniques, we introduce a new method to detect human in video under various environments. By combining poselet and gradient local auto-correlation classifier, we propose an efficient technique in human detection and reduce false detection. Also, focused on edge-based robust principal component analysis, a new foreground extraction method is developed to handle the ambiguous environment such as: leaf motion, illumination etc. By applying the proposed method, the small motion artifacts can be rejected. Experimental results show that our method has the high accuracy in various environments.
Nguyen Phuong Thao,Bui Thi Thuy Luyen,Chau Ngoc Diep,Bui Huu Tai,김은지,강희경,이상현,장해동,Nguyen The Cuong,Nguyen Van Thanh,Nguyen Xuan Cuong,Nguyen Hoai Nam,Chau Van Minh,김영호 대한약학회 2015 Archives of Pharmacal Research Vol.38 No.4
This study performed phytochemical and bioactiveassessments of the mangrove Lumnitzera racemosaWilld. leaves. Bioassay-guided fractionation of the methanolicextracts led to the identification of thirty-six compounds(1–36), their structures were elucidated using detailed NMRspectroscopic and MS analysis. The extracts, fractions, andthe isolated compounds were screened for potential antioxidantand cytotoxic activities. Antioxidant assays wereperformed using peroxyl radical-scavenging and reducingassays, whereas cytotoxicity was measured using MTTassays in HL-60 and Hel-299 cell lines. The methanolicextract, CH2Cl2 and n-BuOH fractions (10.0 lg/mL)exhibited potent antioxidant activity, with Trolox equivalent(TE) values of 24.94 ± 0.59, 28.34 ± 0.20, and27.09 ± 0.37 (lM), respectively. In addition, the isolatedcompounds exerted cytotoxic effects in a dose-dependentmanner; compounds 1 and 14 exhibited the most potentcytotoxicity in HL-60 cells, with IC50 values of 0.15 ± 0.29and 0.60 ± 0.16 lM, respectively. To clarify the mechanism(s) behind these cytotoxic effects, we measured thetime-dependent changes in apoptotic markers including thecondensation and fragmentation of nuclear chromatin, andthe downregulation of p-ERK1/2, p-AKT, and c-Myc levels.
Spectrum of Lysosomal Storage Disease Targeted for Newborn Screening in Vietnam
Dung, Vu Chi,Ngoc, Can Thi Bich,Khanh, Nguyen Ngoc,Mai, Do Thi Thanh,Thao, Bui Phuong,Mai, Tran Thi Chi,Ha, Nguyen Thu,Huong, Nguyen Thi Mai,Nam, Nguyen Hoang,Hai, Le Thanh,Tomatsu, Shunji,Yoo, Han-Wo Association for Research of MPS and Rare Diseases 2017 Journal of mucopolysaccharidosis and rare disease Vol.3 No.1