A HIGH-RESOLUTION VAN LEER-TYPE SCHEME FOR A MODEL OF FLUID FLOWS IN A NOZZLE WITH VARIABLE CROSS-SECTION

Cuong, Dao Huy,Thanh, Mai Duc Korean Mathematical Society 2017 대한수학회지 Vol.54 No.1

We present a high-resolution van Leer-type numerical scheme for the isentropic model of fluid flows in a nozzle with variable cross-section. Basically, the scheme is an improvement of the Godunov-type scheme. The scheme is shown to be well-balanced, as it can capture exactly equilibrium states. Numerical tests are conducted which include comparisons between the van Leer-type scheme and the Godunov-type scheme. It is shown that the van Leer-type scheme achieves a very good accuracy for initial data belong to both supersonic and supersonic regions, and the exact solution eventually possesses a resonant phenomenon.

A HIGH-RESOLUTION VAN LEER-TYPE SCHEME FOR A MODEL OF FLUID FLOWS IN A NOZZLE WITH VARIABLE CROSS-SECTION

Dao Huy Cuong,Mai Duc Thanh 대한수학회 2017 대한수학회지 Vol.54 No.1

We present a high-resolution van Leer-type numerical scheme for the isentropic model of fluid flows in a nozzle with variable cross-section. Basically, the scheme is an improvement of the Godunov-type scheme. The scheme is shown to be well-balanced, as it can capture exactly equilibrium states. Numerical tests are conducted which include comparisons between the van Leer-type scheme and the Godunov-type scheme. It is shown that the van Leer-type scheme achieves a very good accuracy for initial data belong to both supersonic and supersonic regions, and the exact solution eventually possesses a resonant phenomenon.

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.

Remaining Useful Life Estimation based on Noise Injection and a Kalman Filter Ensemble of modified Bagging Predictors

Hung-Cuong Trinh,Van-Huy Pham,Anh H. Vo 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.12

Ensuring reliability of a machinery system involve the prediction of remaining useful life (RUL). In most RUL prediction approaches, noise is always considered for removal. Nevertheless, noise could be properly utilized to enhance the prediction capabilities. In this paper, we proposed a novel RUL prediction approach based on noise injection and a Kalman filter ensemble of modified bagging predictors. Firstly, we proposed a new method to insert Gaussian noises into both observation and feature spaces of an original training dataset, named GN-DAFC. Secondly, we developed a modified bagging method based on Kalman filter averaging, named KBAG. Then, we developed a new ensemble method which is a Kalman filter ensemble of KBAGs, named DKBAG. Finally, we proposed a novel RUL prediction approach GN-DAFC-DKBAG in which the optimal noise-injected training dataset was determined by a GN-DAFC-based searching strategy and then inputted to a DKBAG model. Our approach is validated on the NASA C-MAPSS dataset of aero-engines. Experimental results show that our approach achieves significantly better performance than a traditional Kalman filter ensemble of single learning models (KESLM) and the original DKBAG approaches. We also found that the optimal noise-injected data could improve the prediction performance of both KESLM and DKBAG. We further compare our approach with two advanced ensemble approaches, and the results indicate that the former also has better performance than the latters. Thus, our approach of combining optimal noise injection and DKBAG provides an effective solution for RUL estimation of machinery systems.

Cellular immunotherapy in multiple myeloma

Manh-Cuong Vo,THANGARAJ JAYA LAKSHMI,정성훈,조덕,박혜성,Tan-Huy Chu,이현주,김형준,김상기,이제정 대한내과학회 2019 The Korean Journal of Internal Medicine Vol.34 No.5

In multiple myeloma (MM), the impaired function of several types of immune cells favors the tumor’s escape from immune surveillance and, therefore, its growth and survival. Tremendous improvements have been made in the treatment of MM over the past decade but cellular immunotherapy using dendritic cells, natural killer cells, and genetically engineered T-cells represent a new therapeutic era. The application of these treatments is growing rapidly, based on their capacity to eradicate MM. In this review, we summarize recent progress in cellular immunotherapy for MM and its future prospects.

An Introduction to Immigration Laws of Vietnam

Ngo,Huy Cuong 한국입법정책학회 2010 입법정책 Vol.4 No.2

베트남이 통일된 지 36년이 지났다. 통일 당시 해외로 도피했던 교민들이 이제는 해외에서 형성한 부를 모국 베트남의 국가건설 에 투자하면서 자신의 정체성을 찾고자 한다. 2010년 현재 베트남 의 해외교민 4백30만 명 중 약 3백만 명 이상이 북미에 거주하고 있다. 이들은 베트남 전쟁 후 이주한 세대와 그 자손들이 대부분 인데, 베트남 정부는 해외교민을 ‘과거에 집착해서 큰 것을 놓치 면 안 된다’는 철저한 실용주의 원칙으로 대하고 있다. 베트남 부 는 민족이라는 기치아래 국가발전을 위한 베트남인의 대단결을 호소하고 있으며 해외교민의 국내 투자와 국내귀국을 독려하고 있다. 베트남정부는 베트남을 출입국 및 통과하는 외국인들에게 최상 의 환경을 제공하며; 베트남 법률과 베트남이 국제조약에 맺은 규 정에 의하여 베트남에 거주하는 외국인의 생명, 재산, 권리 및 기 타의 이익을 보호하도록 규정하고 있다. 베트남에 출입국, 통과, 거주하는 외국인은 베트남의 전통, 풍습, 습관 및 베트남의 법을 준수하고 존중해야 한다. 베트남의 출입국, 통과, 거주가 법률위반 을 위한 목적으로 이용되는 것을 엄격히 금하고 있으며 외국인 출입국, 통과, 거 주에 관하여 베트남이 국제조약에서 맺은 규정과 이 법령 규정사이에 차이가 있다면 국제협정규정이 우선하도록 하고 있다. 외국인은 신고한 입국목적과 맞게 외국인 왕래금지 구역을 제 외하고 베트남 영토 내에 자유스럽게 다닐 수 있다. 금지구역에 출입하려면 금지구역을 관리하는 정부심사기관의 허가를 받아야 한다. 또한 장기체류 외국인은 공안부 출입국관리기관에서 장기체 류증을 발급 받는다. 이 장기체류증을 소지한 자는 베트남 출입국 시 비자가 면제된다.

ASEAN’s Role in Promoting Non-Traditional Security Cooperation in the South China Sea: A Perspective from the Issues of Fisheries Security

( Nguyen Xuan Cuong ),( Duong Van Huy ) 한국국방연구원 2021 The Korean Journal of Defense Analysis Vol.33 No.2

The South China Sea is one of the world’s security hot spots regarding territorial sovereignty disputes among China, Taiwan and some Southeast Asian countries such as Vietnam, the Philippines, Malaysia and Brunei. Currently, the dispute situation in the South China Sea is increasingly complicated and tends to be more stressful because the region’s situation is not only heated up by territorial sovereignty disputes and geostrategic competition among great powers, but also by various non-traditional security issues, including fisheries security issues such as overfishing, illegal fishing activities, conflicts over fishery activities between countries. However, at present, there are no effective cooperative and rational mechanisms for fisheries in the South China Sea. Meanwhile, the Association of Southeast Asian Nations (ASEAN) is an important mechanism for managing regional security issues, including non-traditional security in the South China Sea. However, ASEAN’s role in this region is still relatively weak. Given this situation, the article analyzes the current situation of fisheries security issue in the South China Sea and clarifies how ASEAN’s role in this sector plays out in the current period. What actions should ASEAN take to contribute to ensuring non-traditional security in the South China Sea in general and fisheries security in particular?

Application of ANFIS to the design of elliptical CFST columns

Ngoc-Long Tran,Trong-Cuong Vo,Duy-Duan Nguyen,Van-Quang Nguyen,Huy-Khanh Dang,Viet-Linh Tran Techno-Press 2023 Advances in computational design Vol.8 No.2

Elliptical concrete-filled steel tubular (CFST) column is widely used in modern structures for both aesthetical appeal and structural performance benefits. The ultimate axial load is a critical factor for designing the elliptical CFST short columns. However, there are complications of geometric and material interactions, which make a difficulty in determining a simple model for predicting the ultimate axial load of elliptical CFST short columns. This study aims to propose an efficient adaptive neuro-fuzzy inference system (ANFIS) model for predicting the ultimate axial load of elliptical CFST short columns. In the proposed method, the ANFIS model is used to establish a relationship between the ultimate axial load and geometric and material properties of elliptical CFST short columns. Accordingly, a total of 188 experimental and simulation datasets of elliptical CFST short columns are used to develop the ANFIS models. The performance of the proposed ANFIS model is compared with that of existing design formulas. The results show that the proposed ANFIS model is more accurate than existing empirical and theoretical formulas. Finally, an explicit formula and a Graphical User Interface (GUI) tool are developed to apply the proposed ANFIS model for practical use.

Alternative splicing isoforms in health and disease

Kim, Hyoung Kyu,Pham, Michael Huy Cuong,Ko, Kyung Soo,Rhee, Byoung Doo,Han, Jin Springer-Verlag 2018 Pfl ugers Arch Vol.470 No.7

Strut-and-tie model for shear capacity of corroded reinforced concrete columns

Tran, Cao Thanh Ngoc,Nguyen, Xuan Huy,Nguyen, Huy Cuong,Vu, Ngoc Son Techno-Press 2020 Advances in concrete construction Vol.10 No.3

An analytical model is developed in this paper to predict the shear capacity of reinforced concrete (RC) columns with corroded transverse reinforcements. The shear strength model for corroded RC columns is proposed based on modifying the existing strut-and-tie model, which considers the deformational compatibility between truss and arch mechanisms. The contributions to the shear strength from both truss and arch mechanisms are incorporated in the proposed model. The effects of corrosion level of transverse reinforcements are considered in the proposed model through the minimum residual cross-sectional area of transverse reinforcements and the reduction of concrete compressive strength for the cover area. The shear strengths calculated from the developed model are compared with the experimental results from Vu's study (2017), which consisted of RC columns with corroded transverse reinforcements showing shear failure under the cyclic loading. The comparison results indicate satisfactory correlations. Parametric studies are conducted based on the developed shear strength model to explore the effects of column axial loading, aspect ratios, transverse reinforcements and the corrosion levels in transverse reinforcements to the shear strength of RC columns with corroded transverse reinforcements.