Opposition multiple objective symbiotic organisms search (OMOSOS) for time, cost, quality and work continuity tradeoff in repetitive projects

Duc-Hoc Tran,Long Luong-Duc,Minh-Tin Duong,Trong-Nhan Le,Anh-Duc Pham 한국CDE학회 2018 Journal of computational design and engineering Vol.5 No.2

Construction managers often face with projects containing multiple units wherein activities repeat from unit to unit. Therefore effective resource management is crucial in terms of project duration, cost and quality. Accordingly, researchers have developed several models to aid planners in developing practical and near-optimal schedules for repetitive projects. Despite their undeniable benefits, such models lack the ability of pure simultaneous optimization because existing methodologies optimize the schedule with respect to a single factor, to achieve minimum duration, total cost, resource work breaks or various combinations, respectively. This study introduces a novel approach called ‘‘opposition multiple objective symbiotic organisms search” (OMOSOS) for scheduling repetitive projects. The proposed algorithm used an opposition-based learning technique for population initialization and for generation jumping. Further, this study integrated a scheduling module (M1) to determine all project objectives including time, cost, quality and interruption. The proposed algorithm was implemented on two application examples in order to demonstrate its capabilities in optimizing the scheduling of repetitive construction projects. The results indicate that the OMOSOS approach is a powerful optimization technique and can assist project managers in selecting appropriate plan for project.

Impact of EVFTA on Trade Flows of Fruits between Vietnam and the EU

Duc Trong TRAN,Van Thu BUI,Ngoc Minh VU,Tung Son PHAM,Hue Minh TRUONG,Thuy Thu DANG,Tu Van TRINH 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.5

The European Union Vietnam Free Trade Agreement (EVFTA) took effect on August 1 paving the way for increased trade between the EU and Vietnam; this marked a huge turning point for the Vietnamese economy. Agriculture products, especially fruits, must be listed when it comes to Vietnam export industries that profit the most from EVFTA. After a period of study, with the desire to contribute to the improvement in the efficiency of Vietnam’s agricultural products to the EU, the researchers want to assess the impact of the EVFTA on the flows of Vietnamese fruits to the EU market. The study uses a quantitative analysis method via the WITS-SMART model with data on export turnover and tariff reductions in parallel with the analysis of changes in factors affecting the trade flows of fruits between the two markets when the EVFTA takes effect. As a result, Vietnam’s fruit importing from the EU is expected to escalate by 29.18% in 2021, while the flow of export will only inch up by 0.955%, which is rather low compare to the increase in import value. Hence, effective policies must be introduced in Vietnam to innovate production methods and increase product quality, so that the EVFTA can be used to boost Vietnam’s fruit exports to the EU.

Computational Approach to Estimate Functional Significance of Stenotic Lesion of Coronary Artery

Duc Minh Tran(쩐득민),Minh Tuan Nguyen(웬민투안),Hyoung Gwon Choi(최형권),Hyuk-Jae Chang(장혁재),Sang-Wook Lee(이상욱) 대한기계학회 2017 대한기계학회 춘추학술대회 Vol.2017 No.11

Computed tomographic (CT) angiography often overestimates the significance of stenotic lesion of coronary and it leads to a need for functional diagnostic measurements. Currently, invasive pressure-wire-based fractional flow reserve (FFR) is becoming the standard of reference for assessing the physiological significance of coronary stenoses in clinical decisions regarding revascularization and exhibits favorable outcomes in identifying the ischemia-causing stenosis. A noninvasive approach for FFR prediction based on computational fluid dynamics with CT angiography was developed. Since the hemodynamic conditions in distal vascular beds highly affects the coronary flow structures, it is necessary to incorporate zero-dimensional (0D) lumped parameter network (LPN) model for coronary microvascular flow by coupling with 3D CFD simulation. This demonstrated high diagnostic and prognostic accuracy with a reduction of adverse events. MPI parallel algorithm based on domain decomposition method was applied for the 3D-0D coupled model of coronary flow dynamics simulations in a monolithic approach. In this paper, we introduce the development of clinically practical computational tool to estimate physiological significance of stenotic lesion of coronary with aims of accelerating clinical outcomes, basically by bench to bedside approach.

A Novel Adaptive Finite-Time Tracking Control for Robotic Manipulators using Nonsingular Terminal Sliding Mode and RBF Neural Networks

Minh-Duc Tran,강희준 한국정밀공학회 2016 International Journal of Precision Engineering and Vol.17 No.7

This paper presents a novel adaptive terminal sliding mode controller for the trajectory tracking of robotic manipulators using radial basis function neural networks (RBFNNs). First, a modified terminal sliding mode (TSM) surface is approached to avoid the singularity problem of conventional TSM. Then, a nonsingular TSM control is designed for joint position tracking of a robotic manipulator. In the control scheme, fully tuned RBFNNs are adopted to approximate the nonlinear unknown dynamics of the robotic manipulator. Adaptive learning algorithms are derived to allow online adjustment of the output weights, the centers and the variances in the RBFNNs. Meanwhile, a continuous robust control term is added to eliminate chattering efforts in the sliding mode control (SMC) system. The stability and finite-time convergence of the closed-loop system are established by using Lyapunov theory. Finally, the simulation results of a two-link robotic manipulator are presented to demonstrate the effectiveness of the proposed control method.

Adaptive terminal sliding mode control of uncertain robotic manipulators based on local approximation of a dynamic system

Tran, Minh-Duc,Kang, Hee-Jun Elsevier 2017 Neurocomputing Vol.228 No.-

<P><B>Abstract</B></P> <P>This paper presents a novel adaptive finite-time control for robotic manipulators using terminal sliding mode control (TSMC) and radial basis function neural networks (RBFNNs). Firstly, the controller is developed based on terminal sliding mode which requires the prior knowledge of the robot dynamic model. Secondly, RBFNNs are adopted to directly approximate all parts of the system parameters through Ge-Lee (GL) matrix and its product operators. Moreover, an error estimator is added to suppress the approximation errors of neural networks (NNs) and external disturbances. And then, an adaptive finite-time control law with a proper update law is designed to guarantee the occurrence of the sliding motion in finite time without relying on a priori knowledge of uncertainties and external disturbances. The stability and finite-time convergence of the closed loop system are established by using the Lyapunov theory. Finally, the simulation results of a two-link robot manipulator are presented to illustrate the effectiveness of the proposed control method.</P>

Nonsingular Terminal Sliding Mode Control of Uncertain Second-Order Nonlinear Systems

Tran, Minh-Duc,Kang, Hee-Jun Hindawi Limited 2015 Mathematical problems in engineering Vol.2015 No.-

<P>This paper presents a high-performance nonsingular terminal sliding mode control method for uncertain second-order nonlinear systems. First, a nonsingular terminal sliding mode surface is introduced to eliminate the singularity problem that exists in conventional terminal sliding mode control. By using this method, the system not only can guarantee that the tracking errors reach the reference value in a finite time with high-precision tracking performance but also can overcome the complex-value and the restrictions of the exponent (the exponent should be fractional number with an odd numerator and an odd denominator) in traditional terminal sliding mode. Then, in order to eliminate the chattering phenomenon, a super-twisting higher-order nonsingular terminal sliding mode control method is proposed. The stability of the closed-loop system is established using the Lyapunov theory. Finally, simulation results are presented to illustrate the effectiveness of the proposed method.</P>

Field and laboratory investigation of highly pathogenic avian influenza H5N6 and H5N8 in Quang Ninh province, Vietnam, 2020 to 2021

Trong Duc Tran,Suwicha Kasemsuwan,Manakorn Sukmak,Waraphon Phimpraphai,Tippawon Prarakamawongsa,Long Thanh Pham,Tuyet Bach Hoang,Phuong Thi Nguyen,Thang Minh Nguyen,Minh Van Truong,Tuan Pham Dao,Pawin The Korean Society of Veterinary Science 2024 Journal of Veterinary Science Vol.25 No.1

Background: Avian influenza (AI) is a contagious disease that causes illness and death in poultry and humans. High pathogenicity AI (HPAI) H5N6 outbreaks commonly occur in Quang Ninh province bordering China. In June 2021, the first HPAI H5N8 outbreak occurred at a Quang Ninh chicken farm. Objectives: This study examined the risk factors associated with HPAI H5N6 and H5N8 outbreaks in Quang Ninh. Methods: A retrospective case-control study was conducted in Quang Ninh from Nov 2021 to Jan 2022. The cases were households with susceptible poultry with two or more clinical signs and tested positive by real-time reverse transcription polymerase chain reaction. The controls were households in the same village as the cases but did not show clinical symptoms of the disease. Logistic regression models were constructed to assess the risk factors associated with HPAI outbreaks at the household level. Results: There were 38 cases with H5N6 clade 2.3.4.4h viruses (n = 35) and H5N8 clade 2.3.4.4b viruses (n = 3). Compared to the 112 controls, raising poultry in uncovered or partially covered ponds (odds ratio [OR], 7.52; 95% confidence interval [CI], 1.44-39.27), poultry traders visiting the farm (OR, 8.66; 95% CI, 2.7-27.69), farms with 50-2,000 birds (OR, 3.00; 95% CI, 1.06-8-51), and farms with ≥ 2,000 birds (OR, 11.35; 95% CI, 3.07-41.94) were significantly associated with HPAI outbreaks. Conclusions: Combining biosecurity measures, such as restricting visitor entry and vaccination in farms with more than 50 birds, can enhance the control and prevention of HPAI in Quang Ninh and its spread across borders.

Field and laboratory investigation of highly pathogenic avian influenza H5N6 and H5N8 in Quang Ninh province, Vietnam, 2020 to 2021

Trong Duc Tran,Suwicha Kasemsuwan,Manakorn Sukmak,Waraphon Phimpraphai,Tippawon Prarakamawongsa,Long Thanh Pham,Tuyet Bach Hoang,Phuong Thi Nguyen,Thang Minh Nguyen,Minh Van Truong,Tuan Pham Dao,Pawin 대한수의학회 2024 Journal of Veterinary Science Vol.25 No.2

Background: Avian influenza (AI) is a contagious disease that causes illness and death in poultry and humans. High pathogenicity AI (HPAI) H5N6 outbreaks commonly occur in Quang Ninh province bordering China. In June 2021, the first HPAI H5N8 outbreak occurred at a Quang Ninh chicken farm. Objectives: This study examined the risk factors associated with HPAI H5N6 and H5N8 outbreaks in Quang Ninh. Methods: A retrospective case-control study was conducted in Quang Ninh from Nov 2021 to Jan 2022. The cases were households with susceptible poultry with two or more clinical signs and tested positive by real-time reverse transcription polymerase chain reaction. The controls were households in the same village as the cases but did not show clinical symptoms of the disease. Logistic regression models were constructed to assess the risk factors associated with HPAI outbreaks at the household level. Results: There were 38 cases with H5N6 clade 2.3.4.4h viruses (n = 35) and H5N8 clade 2.3.4.4b viruses (n = 3). Compared to the 112 controls, raising poultry in uncovered or partially covered ponds (odds ratio [OR], 7.52; 95% confidence interval [CI], 1.44–39.27), poultry traders visiting the farm (OR, 8.66; 95% CI, 2.7–27.69), farms with 50–2,000 birds (OR, 3.00; 95% CI, 1.06–8-51), and farms with ≥ 2,000 birds (OR, 11.35; 95% CI, 3.07–41.94) were significantly associated with HPAI outbreaks. Conclusions: Combining biosecurity measures, such as restricting visitor entry and vaccination in farms with more than 50 birds, can enhance the control and prevention of HPAI in Quang Ninh and its spread across borders.

관상동맥 협착병변 형상인자와 혈류역학 기반 진단인자의 상관관계 수치해석 연구

쩐득민(Duc Minh Tran),웬비엣카이(Viet Khai Nguyen),웬민투안(Minh Tuan Nguyen),이상욱(Sang-Wook Lee) 대한기계학회 2018 大韓機械學會論文集B Vol.42 No.7

관상동맥 협착병변 심각도에 대한 기존의 혈관 협착률 기반 진단인자의 제한된 정확도로 인하여 최근 생리기능성 진단인자의 중요성이 높아지고 있다. 가장 대표적인 혈류역학 기반 생리기능성 진단인자인 심근분획혈류예비력(FFR)과 벽전단응력(WSS)가 일반적으로 협착병변의 여러 형상 특성인자에 의해 크게 영향을 받는 것으로 잘 알려져 있다. 본 연구에서는 협착병변의 다양한 형상특성인자를 고려한 혈관 모델을 설계하고 다중스케일 CFD 시뮬레이션을 수행한 후, FFR 및 WSS값과 협착병변 형상특성인자의 상관관계를 분석하였다. 기본적으로 혈관 협착률이 FFR과 WSS값에 가장 큰 영향을 미치는 것으로 나타났으며, 협착률이 높을수록, 협착부 형상(shape)의 영향이 커짐을 확인할 수 있었다. Due to the limited diagnostic accuracy of conventional evaluation by stenosis degree for coronary stenotic lesion severity, physiology-based functional indices have recently received much attention. Fractional flow reserve (FFR) and wall shear stress (WSS) are the most representative indices. These hemodynamics-based indices are closely related to blood flow characteristics downstream of stenosis which is greatly affected by the geometric features of stenosis. In this study, we considered major geometric features of stenotic lesions and investigated the correlation between the functional indices and the lesion-specific geometrical parameters by carrying out multi-scale CFD simulations. Lumen diameter reduction rate has the largest effect on the physiological indices and the effect of lesion shape becomes greater as the stenosis degree rises.

관상동맥 협착부 형상 특성 인자와 혈류역학적 생리기능성 진단인자의 상관관계에 대한 수치 해석

쩐득민(Duc Minh Tran),웬민투안(Minh Tuan Nguyen),이상욱(Sang-Wook Lee) 대한기계학회 2017 대한기계학회 춘추학술대회 Vol.2017 No.11

The functional significance rather than conventional evaluation by geometric lumen area reduction of coronary stenosis has recently received much attention. Hemodynamics based diagnostic parameters such as fractional flow reserve (FFR) and wall shear stress (WSS) are most representative physiological indices for identifying lesion severity. Previous studies demonstrated superior performance of FFR and WSS to identify ischemia-causing coronary stenosis. These hemodynamic parameters are closely related to blood flow characteristics downstream of stenosis which is greatly affected by geometric shape of stenosis. Although the in vivo geometry of stenosis is irregular and complex, we extracted major feature geometric parameters and investigate the effect on the FFR and WSS. In this study, we carried out 3D computational fluid dynamics simulations for coronary artery models with considering various stenosis geometric parameters and performed correlation analysis.