http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
A Robust Method for Text Detection in Video
Viet-Cuong Dinh,전승수,류한진,설상훈 한국정보과학회 2007 한국정보과학회 학술발표논문집 Vol.34 No.1C
This paper proposes an effective method for text detection in video. First, we apply an edge detection method to the video frame with a relative low threshold to keep all possible text edge pixels. Second, a multi-frame integration method is applied to significantly remove background pixels which are not stationary in a specific period. Finally, text regions are extracted by using the coarse to fine projection method. Experimental results demonstrate the effectiveness of the proposed method.
Viet-Cuong Dinh 대한전자공학회 2007 ITC-CSCC :International Technical Conference on Ci Vol.2007 No.7
In this paper, we propose an efficient channel adaptive streaming method for robust video transmission over wireless 3G network. In the proposed method, the streaming client first estimates channel available bandwidth (ABC), and then transmits the CAB information to the streaming server. At the sender, according to the comparative quantity between the current video rate and the available bandwidth, the streaming server adaptively performs a dynamic frame skipping (DFS) method. In addition, at the receiver, the video streaming client also performs error concealment (EC) method using motion vector (MV) mapping for the skipped frames to provide robust video transmission. Experimental results show that the proposed method can provide significant improvement to video streaming performance, in terms of scalability and users-perceive video quality.
Super-potentials, densities of currents and number of periodic points for holomorphic maps
Dinh, Tien-Cuong,Nguyê,n, Viê,t-Anh,Vu, Duc-Viet Elsevier 2018 Advances in mathematics Vol.331 No.-
<P><B>Abstract</B></P> <P>We prove that if a positive closed current is bounded by another one with bounded, continuous or Hölder continuous super-potentials, then it inherits the same property. There are two different methods to define wedge-products of positive closed currents of arbitrary bi-degree on compact Kähler manifolds using super-potentials and densities. When the first method applies, we show that the second method also applies and gives the same result. As an application, we obtain a sharp upper bound for the number of isolated periodic points of holomorphic maps on compact Kähler manifolds whose actions on cohomology are simple. A similar result still holds for a large class of holomorphic correspondences.</P>
An adaptive approach for the chloride diffusivity of cement-based materials
Bao-Viet Tran,Duc-Chinh Pham,Mai-Dinh Loc,Minh-Cuong Le 사단법인 한국계산역학회 2019 Computers and Concrete, An International Journal Vol.23 No.2
Adaptive schemes are constructed in this paper for modeling the effective chloride diffusion coefficient of cementbased materials (paste and concrete). Based on the polarization approximations for the effective conductivity of isotropic multicomponent materials, we develop some fitting procedures to include more information about the materials, to improve the accuracy of the scheme. The variable reference parameter of the approximation involves a few free scalars, which are determined through the available numerical or experimental values of the macroscopic chloride diffusion coefficient of cement paste or concrete at some volume proportions of the component materials. The various factors that affect the chloride diffusivity of cement-based material (porous material structure, uncertainty of value of the chloride diffusion coefficient in water-saturated pore spaces, etc.) may be accounted to make the predictions more accurate. Illustrations of applications are provided in a number of examples to show the usefulness of the approach.
Optimization of Spin-Valve Structure NiFe/Cu/NiFe/IrMn for Planar Hall Effect Based Biochips
Bui Dinh Tu,Le Viet Cuong,Tran Quang Hung,Do Thi Huong Giang,Tran Mau Danh,Nguyen Huu Duc,CheolGi Kim IEEE 2009 IEEE transactions on magnetics Vol.45 No.6
<P>This paper deals with the planar Hall effect (PHE) of Ta(5)/NiFe(t<SUB>F</SUB>)/Cu(1.2)/NiFe(t<SUB>P</SUB>)/IrMn(15)/Ta(5) (nm) spin-valve structures. Experimental investigations are performed for 50 mumtimes50 mum junctions with various thicknesses of free layer (t<SUB>F</SUB> = 4, 8, 10, 12, 16, 26 nm) and pinned layer (t<SUB>P</SUB> = 1, 2, 6, 8, 9, 12 nm). The results show that the thicker free layers, the higher PHE signal is observed. In addition, the thicker pinned layers lower PHE signal. The highest PHE sensitivity S of 196 muV/(kA/m) is obtained in the spin-valve configuration with t<SUB>F</SUB> = 26 nm and t<SUB>P</SUB> = 1 nm. The results are discussed in terms of the spin twist as well as to the coherent rotation of the magnetization in the individual ferromagnetic layers. This optimization is rather promising for the spintronic biochip developments.</P>
FGW-FER: Lightweight Facial Expression Recognition with Attention
Huy-Hoang Dinh,Hong-Quan Do,Trung-Tung Doan,Cuong Le,Ngo Xuan Bach,Tu Minh Phuong,Viet-Vu Vu 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.9
The field of facial expression recognition (FER) has been actively researched to improve human-computer interaction. In recent years, deep learning techniques have gained popularity for addressing FER, with numerous studies proposing end-to-end frameworks that stack or widen significant convolutional neural network layers. While this has led to improved performance, it has also resulted in larger model sizes and longer inference times. To overcome this challenge, our work introduces a novel lightweight model architecture. The architecture incorporates three key factors: Depth-wise Separable Convolution, Residual Block, and Attention Modules. By doing so, we aim to strike a balance between model size, inference speed, and accuracy in FER tasks. Through extensive experimentation on popular benchmark FER datasets, our proposed method has demonstrated promising results. Notably, it stands out due to its substantial reduction in parameter count and faster inference time, while maintaining accuracy levels comparable to other lightweight models discussed in the existing literature.
Study on the Melting of the Defective Interstitial Alloys TaSi and WSi with BCC Structure
Nguyen Quang Hoc,Tran Dinh Cuong,Bui Duc Tinh,Le Hong Viet 한국물리학회 2019 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.74 No.8
The statistical moment method is used to study the melting of defective interstitial AB alloys, where A is the main element and B is an interstitial atom, with a body-centered-cubic (BCC) structure. The melting temperature of the AB alloy with defects is obtained from the temperature of absolute stability for the crystalline state and the equilibrium vacancy concentration. Numerical calculations are performed for the interstitial alloys TaSi and WSi. Our calculated results are in good agreement with other calculations.
The Facile Synthesis of Novel ZnO Nanostructure for Galactose Biosensor Application
La Phan, Phuong Ha,Tran, Quang Trung,Dinh, Duc Anh,Bok, Ko Kang,Hong, Chang-Hee,Cuong, Tran Viet Hindawi Limited 2019 Journal of nanomaterials Vol.2019 No.-
<P>We introduce a novel structure of ZnO nanorods (NRs) grown on ZnO NRs (ZnO NRs/NRs) via a facile, low-cost, and environmentally friendly synthesis for galactose biosensor application. The galactose oxidase enzyme (GalOx) is immobilized on the ZnO NR/NR surface to form the novel electrode structure (GalOx|ZnO NRs/NRs). The GalOx|ZnO NR/NR electrode has a linear detection range of current density from 11.30 <I>μ</I>A/mm<SUP>2</SUP> to 18.16 <I>μ</I>A/mm<SUP>2</SUP> over a galactose concentration range from 40 mM to 230 mM, indicating the increment of electrode sensitivity up to 60.7%. The ZnO NR/NR morphology with a high surface area to volume ratio has a great contribution to the electrochemical performance of galactose biosensor. Our results propose a straightforward approach to fabricate architecturally ZnO-based nanostructure for biosensor application.</P>
Ha-Linh Quach,Thai Quang Pham,Ngoc-Anh Hoang,Dinh Cong Phung,Viet-Cuong Nguyen,Son Hong Le,Thanh Cong Le,Dang Hai Le,Anh Duc Dang,Duong Nhu Tran,Nghia Duy Ngu,Florian Vogt,Cong-Khanh Nguyen 대한의료정보학회 2022 Healthcare Informatics Research Vol.28 No.4
Objectives: Online misinformation has reached unprecedented levels during the coronavirus disease 2019 (COVID-19) pandemic. This study analyzed the magnitude and sentiment dynamics of misinformation and unverified information about public health interventions during a COVID-19 outbreak in Da Nang, Vietnam, between July and September 2020. Methods: We analyzed user-generated online information about five public health interventions during the Da Nang outbreak. We compared the volume, source, sentiment polarity, and engagements of online posts before, during, and after the outbreak using negative binomial and logistic regression, and assessed the content validity of the 500 most influential posts. Results: Most of the 54,528 online posts included were generated during the outbreak (n = 46,035; 84.42%) and by online newspapers (n = 32,034; 58.75%). Among the 500 most influential posts, 316 (63.20%) contained genuine information, 10 (2.00%) contained misinformation, 152 (30.40%) were non-factual opinions, and 22 (4.40%) contained unverifiable information. All misinformation posts were made during the outbreak, mostly on social media, and were predominantly negative. Higher levels of engagement were observed for information that was unverifiable (incidence relative risk [IRR] = 2.83; 95% confidence interval [CI], 1.33–0.62), posted during the outbreak (before: IRR = 0.15; 95% CI, 0.07–0.35; after: IRR = 0.46; 95% CI, 0.34-0.63), and with negative sentiment (IRR = 1.84; 95% CI, 1.23–2.75). Negatively toned posts were more likely to be misinformation (odds ratio [OR] = 9.59; 95% CI, 1.20–76.70) or unverified (OR = 5.03; 95% CI, 1.66–15.24). Conclusions: Misinformation and unverified information during the outbreak showed clustering, with social media being particularly affected. This indepth assessment demonstrates the value of analyzing online “infodemics” to inform public health responses.