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Your search keyword '"Tran, Minh-Quang"' showing total 40 results
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40 results on '"Tran, Minh-Quang"'

2. PaaS: Planning as a Service for reactive driving in CARLA Leaderboard

Author

Truong, Nhat Hao, Mai, Huu Thien, Tran, Tuan Anh, Tran, Minh Quang, Nguyen, Duc Duy, and Pham, Ngoc Viet Phuong

Subjects
Computer Science - Robotics
Abstract

End-to-end deep learning approaches has been proven to be efficient in autonomous driving and robotics. By using deep learning techniques for decision-making, those systems are often referred to as a black box, and the result is driven by data. In this paper, we propose PaaS (Planning as a Service), a vanilla module to generate local trajectory planning for autonomous driving in CARLA simulation. Our method is submitted in International CARLA Autonomous Driving Leaderboard (CADL), which is a platform to evaluate the driving proficiency of autonomous agents in realistic traffic scenarios. Our approach focuses on reactive planning in Frenet frame under complex urban street's constraints and driver's comfort. The planner generates a collection of feasible trajectories, leveraging heuristic cost functions with controllable driving style factor to choose the optimal-control path that satisfies safe travelling criteria. PaaS can provide sufficient solutions to handle well under challenging traffic situations in CADL. As the strict evaluation in CADL Map Track, our approach ranked 3rd out of 9 submissions regarding the measure of driving score. However, with the focus on minimizing the risk of maneuver and ensuring passenger safety, our figures corresponding to infraction penalty dominate the two leading submissions for 20 percent., Comment: accepted on 05.06.2023, revised on 15.06.2023, to be published on ICSSE 2023

Published
2023

3. ABCD Team at SOMD 2024: Software Mention Detection in Scholarly Publications with Large Language Models

Author

Nguyen Xuan, Phi, Tran Minh, Quang, Dang Van, Thin, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Rehm, Georg, editor, Dietze, Stefan, editor, Schimmler, Sonja, editor, and Krüger, Frank, editor

Published
2024
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4. Opportunities and Challenges of Digital Twins in Structural Health Monitoring

Author

Tran, Minh Quang, Sousa, Hélder S., Nguyen, Nhung Thi Cam, Nguyen, Quyet Huu, Campos e Matos, José, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Nguyen-Xuan, Tung, editor, Nguyen-Viet, Thanh, editor, Bui-Tien, Thanh, editor, Nguyen-Quang, Tuan, editor, and De Roeck, Guido, editor

Published
2024
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7. Modeling of Five-Axis Ball-End Milling with Tool Orientation Effects

Author

Tran, Minh-Quang, Lien, Vu Thi, Liu, Meng-Kun, Nguyen, Thi Thanh Nga, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Nguyen, Duy Cuong, editor, Vu, Ngoc Pi, editor, Long, Banh Tien, editor, Puta, Horst, editor, and Sattler, Kai-Uwe, editor

Published
2022
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8. Knot Vector Optimization of NURBS for High Speed Cam Mechanisms Based on Dynamic Characteristics

Author

Nguyen, Thi Thanh Nga, Nguyen, Van Sy, Tran, Minh Quang, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Nguyen, Duy Cuong, editor, Vu, Ngoc Pi, editor, Long, Banh Tien, editor, Puta, Horst, editor, and Sattler, Kai-Uwe, editor

Published
2022
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9. Adaptive Energy Management in Microgrid Based on New Training Strategy for ANFIS

Author

Elsisi, M., Tran, Minh-Quang, Lien, Vu Thi, Nga, Nguyen Thi Thanh, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Nguyen, Duy Cuong, editor, Vu, Ngoc Pi, editor, Long, Banh Tien, editor, Puta, Horst, editor, and Sattler, Kai-Uwe, editor

Published
2022
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17. Basic design considerations for a frequency step-tunable electron cyclotron wave system to suppress NTMs in DEMO

Author

Wu, Chuanren, Aiello, Gaetano, Avramidis, Konstantinos A., Bruschi, Alessandro, Fable, Emiliano, Franke, Thomas, Gantenbein, Gerd, Garavaglia, Saul, Granucci, Gustavo, Illy, Stefan, Janky, Filip, Jelonnek, John, Kudláček, Ondřej, Moro, Alessandro, Poli, Emanuele, Ruess, Tobias, Scherer, Theo, Schramm, Raphael, Siccinio, Mattia, Snicker, Antti, Strauß, Dirk, Suárez López, Guillermo, Tardini, Giovanni, Thumm, Manfred, Tran, Minh Quang, and Zohm, Hartmut

Published
2021
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23. Robust Indoor Positioning of Automated Guided Vehicles in Internet of Things Networks With Deep Convolution Neural Network Considering Adversarial Attacks

Author

Elsisi, Mahmoud, Rusidi, Akhmad Lutfi, Tran, Minh-Quang, Su, Chun-Lien, and Ali, Mahmoud N.

Abstract

The effectiveness of positioning techniques that utilize the receiver signal strength (RSS) is highly dependent on the instability of the received signal strength indicator (RSSI). Up to now, there is no strategy that effectively lowers the influence of such instability on the accuracy of positioning. Moreover, recent studies showed that indoor positioning techniques are vulnerable to noise in RSSI data and cyber-attacks, which make them more expensive. In this study, a new Internet of Things (IoT) paradigm is proposed for the indoor positioning of automated guided vehicles (AGVs) using a deep convolution neural network (CNN). The proposed method handles signal processing by converting the RSSI signal into an image. In which, the 1-D RSSI signal is converted into 2-D image data in order to generate the new features based on continuous wavelet transform (CWT), and then the proposed deep CNN is implemented for the indoor positioning system. The test results show that the proposed model can outperform other state-of-the-art positioning techniques with small position errors. Furthermore, the robustness of the proposed model is validated against various adversarial attacks. In addition, the proposed method can have a lower impact on RSSI change compared with other methods.

Published
2024
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25. FORMULATION OF THE PROBLEM OF NORMAL SEPARATION-TYPE FRACTURE

Author

Le Thi Hong Van and Tran Minh Quang

Subjects
characteristic size, boundary integral equation, linear elasticity, fracture mechanics, approach, continuum mechanics
Abstract

An approach to solving the problems of fracture mechanics at the scale level of continuum mechanics is proposed. For an elementary volume element, within the framework of this approach, the onset of the moment of formation of new material surfaces is considered. A statement and a method for solving a particular problem of fracture mechanics are proposed.

Published
2023
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26. A DOUBLE PERIODIC SYSTEM OF RECTILINEAR CRACKS WITH CONNECTIONS BETWEEN THE EDGES

Author

Tran Minh Quang, Nguyen Thi Thanh Ha, Le Thi Hong Van, and Pham Thi Hien

Subjects
tension, rectilinear cracks, singular integral equation, non-linear equations, deformation
Abstract

The problem of tension and shear of a thin isotropic plate weakened by a doubly periodic system of rectilinear cracks with end zones is considered. General representations of solutions are constructed that describes a class of problems with a doubly periodic stress distribution outside cracks. The main singular integral equation of the problem is reduced to an infinite system of algebraic equations. Due to the unknown size of the end zone, the system of equations turned out to be non-linear even with a linear bond deformation law.

Published
2023
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32. Traditional Vietnamese medicine Kovir capsule in patients with mild COVID-19: A double-blind randomized controlled trial

Author

Huynh Nguyen Loc, Truong Thi Ngoc Lan, Dinh Thi Lan Huong, Nguyen Thanh Tuyen, Tran Minh Quang, Ly Minh Dao, Pham Hung Van, and Nguyen Lam Vuong

Subjects
Pharmacology, Treatment Outcome, Asian People, Double-Blind Method, SARS-CoV-2, Humans, Viral Load, COVID-19 Drug Treatment
Abstract

Kovir capsule, a polyherbal medicine developed from Ren Shen Bai Du San formulation, has been used in various diseases including respiratory infections. A randomized, placebo-controlled, double-blind study was conducted to evaluate the safety and efficacy of Kovir capsule (TD0069) in the treatment of mild COVID-19 patients. Patients aged from 18 to 65 years who were PCR-confirmed with SARS-CoV-2 and had the mild disease were recruited and randomized to either Kovir capsule (34 patients) or placebo (32 patients) for up to 14 days or until discharge. Efficacy outcomes were time to viral clearance, daily viral load, time to symptom resolution, daily symptom score based on 16 pre-defined symptoms, and progression to severe/critical COVID-19. Safety outcomes were adverse events. Viral load decreased over time similarly in the two groups. Viral clearance time was also similar in both groups (median: 8 days). Kovir group had a more rapid decrease of symptom score and significantly lower time to symptom resolution than placebo (median: 4 vs. 7 days). Two patients in the placebo group developed severe COVID-19. No patient experienced adverse events. Kovir capsule is safe and can improve symptom resolution in mild COVID-19 patients. A large-scale trial is required to confirm these findings.

Published
2022

40. Large Area Diamond Disk Growth Experiments and Thermomechanical Investigations for the Broadband Brewster Window in DEMO

Author

Aiello, Gaetano, primary, Avramidis, Konstantinos A., additional, Franke, Thomas, additional, Gantenbein, Gerd, additional, Jelonnek, John, additional, Meier, Andreas, additional, Scherer, Theo, additional, Schreck, Sabine, additional, Strauss, Dirk, additional, Thumm, Manfred, additional, Tran, Minh Quang, additional, Wild, Christoph, additional, and Woerner, Eckhard, additional

Published
2021
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