111 results on '"Tran, Minh-Quang"'
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2. Robust fault recognition and correction scheme for induction motors using an effective IoT with deep learning approach
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Tran, Minh‐Quang, Amer, Mohammed, Dababat, Alya', Abdelaziz, Almoataz Y., Dai, Hong-Jie, Liu, Meng-Kun, and Elsisi, Mahmoud
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- 2023
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3. Machine learning and IoT-based approach for tool condition monitoring: A review and future prospects
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Tran, Minh-Quang, Doan, Hoang-Phuong, Vu, Viet Q., and Vu, Lien T.
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- 2023
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4. Effective multi-sensor data fusion for chatter detection in milling process
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Tran, Minh-Quang, Liu, Meng-Kun, and Elsisi, Mahmoud
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- 2022
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5. Effective IoT-based deep learning platform for online fault diagnosis of power transformers against cyberattacks and data uncertainties
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Elsisi, Mahmoud, Tran, Minh‐Quang, Mahmoud, Karar, Mansour, Diaa-Eldin A., Lehtonen, Matti, and Darwish, Mohamed M.F.
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- 2022
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6. Basic design considerations for a frequency step-tunable electron cyclotron wave system to suppress NTMs in DEMO
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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
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- 2021
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7. Effective feature selection with fuzzy entropy and similarity classifier for chatter vibration diagnosis
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Tran, Minh-Quang, Elsisi, Mahmoud, and Liu, Meng-Kun
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- 2021
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8. Structural pre-conceptual design studies for an EU DEMO equatorial EC port plug and its port integration
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Spaeh, Peter, Bachmann, Christian, Chavan, René, Cufar, Aljaz, Franke, Thomas, Strauss, Dirk, and Tran, Minh Quang
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- 2020
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9. EU DEMO EC equatorial launcher pre-conceptual performance studies
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Garavaglia, Saul, Baiocchi, Benedetta, Bruschi, Alessandro, Čufar, Aljaž, Fanale, Francesco, Granucci, Gustavo, Moro, Alessandro, Poli, Emanuele, Rispoli, Natale, Scherer, Theo, Siccinio, Mattia, Späh, Peter, Strauß, Dirk, Tigelis, Ioannis, Tsironis, Christos, Franke, Thomas, and Tran, Minh Quang
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- 2020
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10. Estimation of Process Damping Coefficient Using Dynamic Cutting Force Model
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Chung, Chunhui, Tran, Minh-Quang, and Liu, Meng-Kun
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- 2020
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11. Milling chatter detection using scalogram and deep convolutional neural network
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Tran, Minh-Quang, Liu, Meng-Kun, and Tran, Quoc-Viet
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- 2020
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12. Hybrid model- and signal-based chatter detection in the milling process
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Liu, Meng-Kun, Tran, Minh-Quang, Chung, Chunhui, and Qui, Yi-Wen
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- 2020
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13. Interface and requirements analysis on the DEMO Heating and Current Drive system using Systems Engineering methodologies
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Grossetti, Giovanni, Baylard, Christophe, Franke, Thomas, Gafert, Jürgen, Jenkins, Ian, Siccinio, Mattia, Strauß, Dirk, Tran, Minh Quang, and Zohm, Hartmut
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- 2019
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14. Initial port integration concept for EC and NB systems in EU DEMO tokamak
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Franke, Thomas, Agostinetti, Piero, Bachmann, Christian, Bruschi, Alessandro, Carr, Matthew, Cismondi, Fabio, Cufar, Aljaz, de Esch, H.P.L., Federici, Gianfranco, den Harder, Niek, Garavaglia, Saul, Grossetti, Giovanni, Granucci, Gustavo, Meakins, Alex, Moro, Alessandro, Mozzillo, Rocco, Sartori, Emanuele, Siccinio, Mattia, Sonato, Piergiorgio, Strauss, Dirk, Tran, Minh Quang, Valentine, Alex, and Zheng, Shanliang
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- 2019
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15. EU DEMO EC system preliminary conceptual design
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Garavaglia, Saul, Aiello, Gaetano, Alberti, Stefano, Avramidis, Konstantinos, Bruschi, Alessandro, Chelis, Ioannis G., Franck, Joachim, Gantenbein, Gerd, Granucci, Gustavo, Grossetti, Giovanni, Hizanidis, Kyriakos, Illy, Stefan, Jelonnek, John, Kalaria, Parth, Latsas, George, Moro, Alessandro, Pagonakis, Ioannis, Peponis, Dimitrios V., Poli, Emanuele, Rispoli, Natale, Ruess, Sebastian, Rzesnicki, Tomasz, Scherer, Theo, Strauss, Dirk, Thumm, Manfred, Tigelis, Ioannis, Tsironis, Christos, Wu, Chuanren, Franke, Thomas, and Tran, Minh Quang
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- 2018
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16. Systems engineering perspective to the integration of the heating and current drive system in the EU DEMO: Analysis of requirements and functions
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Grossetti, Giovanni, Brown, Richard, Franke, Thomas, Gafert, Juergen, Galliara, Tanya, Jenkins, Ian, Mantel, Nicolas, Strauß, Dirk, Tran, Minh Quang, and Wenninger, Ronald
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- 2018
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17. An empirical investigation of the consumption process in 3D virtual worlds
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Tran, Minh Quang
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794.8 - Abstract
Virtual worlds are 3D online persistent multi-user environments where users interact through avatars. Virtual worlds are used for many activities including gaming, education, socialising and consumer-related activities. The focus of the investigation in this dissertation is on consumers' perceptions of the consumption process in Second Life, a virtual world. The consumption process in Second Life involves the acquisition, purchase and appropriation of virtual products for avatars. In this research project, research methods such as phenomenological interviews, laddering interviews and structured interviews were used to elicit consumers' perceptions of the consumption process in Second Life. The interviews were analysed by applying descriptive-phenomenology, thematic analysis and means-end chain analysis. The contribution of this research project has been an empirically-grounded understanding of consumers' perceptions of the consumption process in Second Life, including an understanding of virtual world affordances and consumers' needs during the consumption process. The theoretical contributions of this research project have been (1) phenomenological descriptions of the consumption process, (2) an analysis of virtual world affordances, such as 3D storefronts, teleportation, presence of others and access to websites, and (3) an understanding of how virtual world affordances address consumers' needs during the consumption process. Further, the practical contribution of this research has been the development of design guidelines for designers, developers and businesses: these guidelines can be applied to design and evaluate e-commerce environments that share similar features and affordances with Second Life.
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- 2011
18. Tool wear monitoring and prediction based on sound signal
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Liu, Meng-Kun, Tseng, Yi-Heng, and Tran, Minh-Quang
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- 2019
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19. A User-Oriented Approach and Tool for Security and Privacy Protection on the Web
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Phung, Phu H., Pham, Huu-Danh, Armentrout, Jack, Hiremath, Panchakshari N., and Tran-Minh, Quang
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- 2020
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20. PaaS: Planning as a Service for reactive driving in CARLA Leaderboard
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Truong, Nhat Hao, Mai, Huu Thien, Tran, Tuan Anh, Tran, Minh Quang, Nguyen, Duc Duy, and Pham, Ngoc Viet Phuong
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FOS: Computer and information sciences ,Computer Science - Robotics ,Robotics (cs.RO) - 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., final draft, submitting to ICSSE 2023
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- 2023
21. A Practical Hybrid IoT Architecture with Deep Learning Technique for Healthcare and Security Applications.
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Vu, Viet Q., Tran, Minh-Quang, Amer, Mohammed, Khatiwada, Mahesh, Ghoneim, Sherif S. M., and Elsisi, Mahmoud
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DEEP learning , *MACHINE learning , *HUMAN facial recognition software , *INTERNET of things , *WEB-based user interfaces , *WEB browsing - Abstract
Facial mask detection technology has become increasingly important even beyond the context of the COVID-19 pandemic. Along with the advancement in facial recognition technology, face mask detection has become a crucial feature for various applications. This paper introduces an Internet of Things (IoT) architecture based on a developed deep learning algorithm named You Only Look Once (YOLO) to keep society healthy, and secured, and collect data for future research. The proposed paradigm is built on the basis of economic consideration and is easy to implement. Yet, the used YOLOv4-tiny is one of the fastest object detection models to exist. A mask detection camera (MaskCam) that leverages the computing power of NVIDIA's Jetson Nano edge nanodevices was built side by side with a smart camera application to detect a mask on the face of an individual. MaskCam distinguishes between mask wearers, those who are not wearing masks, and those who are not wearing masks properly according to MQTT protocol. Furthermore, a self-developed web browsing application comes with the MaskCam system to collect and visualize statistics for qualitative and quantitative analysis. The practical results demonstrate the superiority and effectiveness of the proposed smart mask detection system. On the one hand, YOLOv4-full obtained the best results even at smaller resolutions, although the frame rate is too small for real-time use. On the other hand, it is twice as fast as the other detection models, regardless of the quality of detection. Consequently, inferences may be run more frequently over the entire video sequence, resulting in more accurate output. [ABSTRACT FROM AUTHOR]
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- 2023
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22. Collaborative Vietnamese WordNet building using consensus quality
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Duong, Trong Hai, Tran, Minh Quang, and Nguyen, Thi Phuong Trang
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- 2017
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23. Preface to the Special Issue: Creativity and Innovations on the Path to Fusion Energy
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Chan, Vincent, Tran, Minh Quang, and Wurden, Glen
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- 2019
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24. Report of recent experiments with the European 1 MW, 170 GHz CW and SP prototype gyrotrons for ITER
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Ioannidis Zisis, Rzesnicki Tomasz, Albajar Ferran, Alberti Stefano, Avramidis Konstantinos, Bin William, Bonicelli Tulio, Bruschi Alex, Chelis Ioannis, Fanale Francesco, Gantenbein Gerd, Hermann Virgille, Hogge Jean-Philippe, Illy Stefan, Jin Jianbo, Jelonnek John, Kasparek Walter, Latsas George, Lechte Carsten, Legrand François, Pagonakis Ioannis, Sanchez Francisco, Schmid Martin, Schlatter Christian, Thumm Manfred, Tigelis Ioannis, Tran Minh Quang, Zisis Anastasios, and Zein Andy
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Physics ,QC1-999 - Abstract
The European 1 MW, 170 GHz industrial CW prototype gyrotron has been designed within EGYC (European GYrotron Consortium) in collaboration with the industrial partner Thales Electron Devices (TED) and under the coordination of Fusion for Energy (F4E). This is a conventional (hollow) cavity gyrotron that is based on the 1 MW, 170 GHz short-pulse (SP) modular gyrotron, which has been designed and manufactured by KIT in collaboration with TED. The SP prototype has been tested in multiple experimental campaigns since 2015 and the nominal cavity mode TE32,9 is exited at 170.1 GHz, producing RF power above 1 MW with 35 % interaction efficiency. The first phase of the experiments with the CW industrial gyrotron was successfully completed at KIT in 2016, verifying most of the ITER specifications. Short pulses (
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- 2019
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25. Overview on recent progress in magnetron injection gun theory and design for high power gyrotrons
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Pagonakis Ioannis, Alberti Stefano, Avramidis Konstantinos, Legrand Francois, Gantenbein Gerd, Genoud Jérémy, Hogge Jean-Philippe, Illy Stefan, Ioannidis Zisis, Kalaria Parth, Piosczyk Bernhard, Ruess Sebastian, Ruess Tobias, Rzesnicki Tomasz, Tran Minh-Quang, Tran† Trach-Minh, Thumm Manfred, Vomvoridis Ioannis, and Jelonnek John
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Physics ,QC1-999 - Abstract
The magnetron injection gun (MIG) is one of the most critical subcomponents in gyrotrons. The electron beam, which has the primary role on the gyrotron operation, is generated and configured at this part of the tube. The electron beam properties determine the excitation mode in the cavity, the power of the generated microwaves and the gyrotron efficiency. The operation of MIGs could be influenced by several factors such as trapped electrons, manufacturing tolerances, roughness of the emitter ring, emitter temperature inhomogeneity, electron beam neutralization effect, etc. The influence of many of these factors on the electron beam quality has been systematically investigated during the last years. Several novelties have been proposed in order to limit the influence of these factors on the gyrotron operation. In particular, new design criteria have been proposed for the suppression of electron trapping mechanisms, a new type of the emitter ring has been proposed to minimize the influence of the manufacturing tolerances and edge effects on the beam quality, alternative MIG design approaches have been proposed, etc. An overview of all these works will be presented here.
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- 2019
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26. Towards Advanced Fusion Gyrotrons: 2018 Update on Activities within EUROfusion
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Jelonnek John, Aiello Gaetano, Alberti Stefano, Avramidis Konstantinos, Bruschi Alex, Chelis Ioannis, Franke Thomas, Gantenbein Gerd, Garavaglia Saul, Granucci Gustavo, Grossetti Giovanni, Illy Stefan, Ioannidis Zisis, Jin Jianbo, Kalaria Parth, Latsas George, Pagonakis Ioannis, Peponis Dimitrios, Rzesnicki Tomasz, Ruess Sebastian, Ruess Tobias, Scherer Theo, Schmid Martin, Strauss Dirk, Wu Chuanren, Thumm Manfred, Tigelis Ioannis, Tran Minh Quang, Wilde Fabian, and Zein Andy
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Physics ,QC1-999 - Abstract
During the ongoing pre-concept phase (2014 – 2020) for a possible future European DEMOnstration Fusion Power Plant (DEMO) the activities within EUROfusion WP HCD EC Gyrotron R&D and Advanced Developments are focusing on options for near-term solutions, and, at the same time, on long-term even more advanced options. The near-term target for DEMO is to realize pulsed operation. According to the current baseline it will probably use an EC system operating at 170 GHz and 204 GHz is being assessed, whereas the long-term target aims for steady-state operation and frequencies for current drive up to 240 GHz. Common targets for both are an RF output power per unit of significantly above 1 MW (target: 2 MW) and a total gyrotron efficiency of significantly higher than 60 %. Frequency step-tunability and multi-purpose/multi-frequency operation have to be considered. Those targets shall be achieved by considering the coaxial-cavity gyrotron technology and advanced technologies for key components (e.g. CVD diamond-disk Brewster angle window). Advanced simulation and test tools are complementing the research and developments. Gyrotron development is additionally supported by a significant investment into a new multi-megawatt long-pulse gyrotron test stand which is under final installation at KIT currently.
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- 2019
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27. Spillover benefits from controlled nuclear fusion technology – A patent analysis
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Bruns, Peter, Tran, Minh Quang, Kunz, Daniel, Mueller, Heinz, and Soltmann, Christian
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- 2012
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28. Conceptual design studies of the Electron Cyclotron launcher for DEMO reactor
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Moro Alessandro, Bruschi Alex, Franke Thomas, Garavaglia Saul, Granucci Gustavo, Grossetti Giovanni, Hizanidis Kyriakos, Tigelis Ioannis, Tran Minh-Quang, and Tsironis Christos
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Physics ,QC1-999 - Abstract
A demonstration fusion power plant (DEMO) producing electricity for the grid at the level of a few hundred megawatts is included in the European Roadmap [1]. The engineering design and R&D for the electron cyclotron (EC), ion cyclotron and neutral beam systems for the DEMO reactor is being performed by Work Package Heating and Current Drive (WPHCD) in the framework of EUROfusion Consortium activities. The EC target power to the plasma is about 50 MW, in which the required power for NTM control and burn control is included. EC launcher conceptual design studies are here presented, showing how the main design drivers of the system have been taken into account (physics requirements, reactor relevant operations, issues related to its integration as in-vessel components). Different options for the antenna are studied in a parameters space including a selection of frequencies, injection angles and launch points to get the best performances for the antenna configuration, using beam tracing calculations to evaluate plasma accessibility and deposited power. This conceptual design studies comes up with the identification of possible limits, constraints and critical issues, essential in the selection process of launcher setup solution.
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- 2017
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29. Recent progress in the upgrade of the TCV EC-system with two 1MW/2s dual-frequency (84/126GHz) gyrotrons
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Alberti Stefano, Genoud Jérémy, Goodman Timothy, Hogge Jean-Philippe, Porte Laurie, Silva Miguel, Tran Trach-Minh, Tran Minh-Quang, Avramidis Konstantinos, Pagonakis Ioannis, Jin Jianbo, Illy Stefan, Gantenbein Gerd, Jelonnek John, Thumm Manfred, Bin William, Bruschi Alex, Garavaglia Saul, Moro Alessandro, Kasparek Walter, Legrand François, Perial Etienne, Rozier Yoan, Cismondi Fabio, and Doelman Niek
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Physics ,QC1-999 - Abstract
The upgrade of the EC-system of the TCV tokamak has entered in its realization phase and is part of a broader upgrade of TCV. The MW-class dual-frequency gyrotrons (84 or 126GHz/2s/1MW) are presently being manufactured by Thales Electron Devices with the first gyrotron foreseen to be delivered at SPC by the end of 2017. In parallel to the gyrotron development, for extending the level of operational flexibility of the TCV EC-system the integration of the dual-frequency gyrotrons adds a significant complexity in the evacuated 63.5mm-diameter HE11 transmission line system connected to the various TCV low-field side and top launchers. As discussed in [1], an important part of the present TCV-upgrade consists in inserting a modular closed divertor chamber. This will have an impact on the X3 top-launcher which will have to be reduced in size. For using the new compact launcher we are considering employing a Fast Directional Switch (FADIS), combining the two 1MW/126GHz/2s rf-beams into a single 2MW rf-beam.
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- 2017
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30. Deep Learning-Based Industry 4.0 and Internet of Things Towards Effective Energy Management for Smart Buildings
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Elsisi, Mahmoud, Tran, Minh-Quang, Mahmoud, Karar, Lehtonen, Matti, Darwish, Mohamed M. F., National Taiwan University of Science and Technology, Department of Electrical Engineering and Automation, Aalto-yliopisto, and Aalto University
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machine learning ,energy management ,Smart systems ,Internet of Things ,Machine learning ,smart systems ,Energy management ,lcsh:TP1-1185 ,lcsh:Chemical technology ,internet of things ,Article - Abstract
Worldwide, energy consumption and saving represent the main challenges for all sectors, most importantly in industrial and domestic sectors. The internet of things (IoT) is a new technology that establishes the core of Industry 4.0. The IoT enables the sharing of signals between devices and machines via the internet. Besides, the IoT system enables the utilization of artificial intelligence (AI) techniques to manage and control the signals between different machines based on intelligence decisions. The paper’s innovation is to introduce a deep learning and IoT based approach to control the operation of air conditioners in order to reduce energy consumption. To achieve such an ambitious target, we have proposed a deep learning-based people detection system utilizing the YOLOv3 algorithm to count the number of persons in a specific area. Accordingly, the operation of the air conditioners could be optimally managed in a smart building. Furthermore, the number of persons and the status of the air conditioners arepublished via the internet to the dashboard of the IoT platform. The proposed system enhances decision making about energy consumption. To affirm the efficacy and effectiveness of the proposed approach, intensive test scenarios are simulated in a specific smart building considering the existence of air conditioners. The simulation results emphasize that the proposed deep learning-based recognition algorithm can accurately detect the number of persons in the specified area, thanks to its ability to model highly non-linear relationships in data. The detection status can also be successfully published on the dashboard of the IoT platform. Another vital application of the proposed promising approach is in the remote management of diverse controllable devices.
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- 2021
31. Effective Optimization Based on Equilibrium Optimizer for Dynamic Cutting Force Coefficients of the End-Milling Process.
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Tran, Minh-Quang, Elsisi, Mahmoud, Vu, Viet Q., Albalawi, Fahad, and Ghoneim, Sherif S. M.
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This study aims to develop an accurate dynamic cutting force model in the milling process. In the proposed model, the estimated cutting force tackles the effect of the self-excited vibration that causes machining instability during the cutting process. In particular, the square root of the residual cutting force between the prediction and the actual cutting force is considered as an objective function for optimizing the cutting force coefficients using the equilibrium optimizer (EO) approach instead of the trial-and-error approach. The results confirm that the proposed model can provide higher prediction accuracy when the EO is applied. In addition, the proposed EO has a minimum integral square error (ISE) of around 1.12, while the genetic algorithm (GA) has an ISE of around 1.14 and the trial-and-error method has an ISE of around 2.4. Moreover, the proposed method can help to investigate the cutting stability and to suspend the chatter phenomenon by selecting an optimal set of cutting parameters. [ABSTRACT FROM AUTHOR]
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- 2022
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32. EU megawatt-class 140-GHz CW gyrotron
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Thumm, Manfred, Alberti, Stefano, Arnold, Andreas, Brand, Peter, Braune, Harald, Dammertz, Gunter, Erckmann, Volker, Gantenbein, Gerd, Giguet, Eric, Heidinger, Roland, Hogge, Jean-Philippe, Illy, Stefan, Kasparek, Walter, Laqua, Heinrich Peter, Legrand, Francois, Leonhardt, Wolfgang, Lievin, Christophe, Michel, Georg, Neffe, Gunter, Piosczyk, Bernhard, Schmid, Martin, Schworer, Karl, and Tran, Minh Quang
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Electron beams -- Analysis ,Microwaves -- Analysis ,Business ,Chemistry ,Electronics ,Electronics and electrical industries - Abstract
The first series tube of the gyrotrons for the 10-MW electron cyclotron resonance heating system of the stellarator W7-X was tested at Forschungszentrum Karlsruhe (FZK) and yielded a total output power of 0.98 MW, with an efficiency of 31% (without a single-stage depressed collector) in short-pulse operation and of 0.92 MW in pulses of 180 s (efficiency of almost 45% at a depression voltage of 29 kV). The Gaussian mode output power was 0.91 MW. The pulselength at full power (1 MW) is limited at FZK by the available power supply. At a reduced electron beam current, it is possible to operate at longer pulselengths. At an output power of 0.57 MW (electron beam current of 29 A), the pulselength was increased to 1893 s. There was no physical reason for a limitation of this pulse: The pressure increase during the pulse was less than a factor of two and ended up at a very low value in the [10.sup.-9] mbar range. The tube was delivered to Max-Planck-Institut fur Plasmaphysik Greifswald for tests at full power and up to 30-min pulselength. The Gaussian mode RF output power, measured in a calorimetric load after a 25-m-long quasi-optical transmission line (seven mirrors), was 0.87 MW at a total output power of 0.92 MW in 30-min pulses. Again, no indications for a limitation in pulselength were found. The second series tube was tested in short-pulse operation and showed a strange behavior concerning a mode hopping which has not yet been understood. The third series gyrotron delivers up to now 0.65 MW at a pulse duration of 180 s. Preliminary operation of the prototype tube as a two-frequency gyrotron delivered 0.41 MW in 10-s pulses at 103.8 GHz (T[E.sub.21,6] mode). Index Terms--Chemical-vapor deposition (CVD)-diamond window, frequency step tuning, gyrotron, high-power microwaves, quasi-optical (q.o.) mode converter, single-stage depressed collector (SDC), stray radiation.
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- 2007
33. High-power gyrotron development at Forschungszentrum Karlsruhe for fusion applications
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Dammertz, Gunter, Alberti, Stefano, Arnold, Andreas, Bariou, David, Brand, Peter, Braune, Harald, Erckmann, Volker, Dumbrajs, Olgierd, Gantenbein, Gerd, Giguet, Eric, Heidinger, Roland, Hogge, Jean-Philipp, Illy, Stefan, Jin, Jinbo, Kasparek, Walter, Koppenburg, Kai, Laqua, Heinrich Peter, Legrand, Francois, Leonhardt, Wolfgang, Lievin, Christophe, Michel, Georg, Neffe, Gunter, Piosczyk, Bernhard, Prinz, Oliver, Rzesnicki, Thomasz, Schmid, Martin, Thumm, Manfred, Tran, Minh Quang, Yang, X., and Yovchev, I.
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Frequency meters -- Analysis ,Microwaves -- Analysis ,Microwaves -- Properties ,Business ,Chemistry ,Electronics ,Electronics and electrical industries - Abstract
In the first part of this paper, the status of the 140-GHz continuously operated gyrotrons with an output power of 1 MW or the stellarator Wendelstein 7-X will be described. With the first series tube, an output power of 1000 kW has been achieved in short pulse operation (milliseconds) with an electron beam current of 40 A, and of 1150 kW at 50 A. With a pulse length of 3 min limted by the available high-voltage (HV) power supply, an output power of 920 kW at an electron beam current of about 40 A with an efficiency of 45% and a mode purity of 97.5% has been obained. At a reduced beam current of 29 A, an output power of 570 kW was measured with a pulse length of 1893 s without significant increase in tube pressure. The energy content of this pulse is almost 1.1 GJ. For the next fusion plasma device, International Thermonuclear Experimental Reactor (ITER), gyrotrons with a higher output power of about 2 MW are desirable. In short-pulse experiments, the feasibility of the fabrication of coaxial cavity gyrotrons with an output power up to 2-MW, continuous wave (CW), has been demonstrated, and the information necessary for a technical design has been obtained. The development of a long-pulse 2-MW coaxial cavity gyrotron started within a European coopera tion. In parallel to the design and fabrication of an industrial prototype gyrotron, a short-pulse preprototype gyrotron has been operated to verify the design of critical components. An output power of 1.2 MW with an efficiency of 20% has been achieved. The development of frequency tunable gyrotrons operating in the range from 105 to 140 GHz for stabilization of current driven plasma instabilities in fusion plasma devices (neoclassical tearing modes) is another task in the development of gyrotrons at the Forschungszentrum Karlsruhe. Index Terms--Coaxial gyrotron, diamond window, frequency tuning, gyrotron, high-power microwaves, quasi-optical mode converter, single-stage depressed collector, step tunability, stray radiation.
- Published
- 2006
34. Effective Fault Diagnosis Based on Wavelet and Convolutional Attention Neural Network for Induction Motors.
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Tran, Minh-Quang, Liu, Meng-Kun, Tran, Quoc-Viet, and Nguyen, Toan-Khoa
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CONVOLUTIONAL neural networks , *INDUCTION motors , *FAULT diagnosis , *ARTIFICIAL neural networks , *DEEP learning - Abstract
Induction motors are important equipment in modern industry. However, the occurrence of fatigue failure following an extended period of operation invariably results in a catastrophic failure. As a result, monitoring and diagnosing induction motors is critical to avoiding unplanned shutdowns caused by premature failures. This article aims to develop an effective method for motor fault detection using time–frequency contents of vibration signals and an attention-based convolutional neural network model. First, the vibration signals are collected and labeled into five different categories: normal condition, outer ring fault, inner ring fault, misalignment condition, and broken rotor bar. Then, using the Morlet function, continuous wavelet transform (CWT) converts the vibratory time-series signals to the scalogram feature images. The time–frequency feature images are created after downsampling and converting the measured vibration signals to the frequency domain. These images are then resized and fed into the proposed convolutional attention neural network (CANN) to identify various induction motor failures. The experimental results demonstrate that the suggested model can provide an excellent diagnosis accuracy of 99.43%, significantly better than the state-of-the-art deep learning approaches for fault diagnosis. Moreover, the developed model’s robustness is validated against adversarial attacks based on the fast gradient sign method (FGSM) by including white Gaussian noise. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
35. 2019 Status and Focus Areas in the Development of an Advanced Gyrotron for EU DEMO
- Author
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Jelonnek, John, Avramidis, Konstantinos A., Aiello, Gaetano, Alberti, Stefano, Brücker, Philipp, Bruschi, Alex, Chelis, Ioannis, Franke, Thomas, Gantenbein, Gerd, Garavaglia, Saul, Genoud, Jérémy, George, Marc, Granucci, Gustavo, Hogge, Jean-Philippe, Illy, Stefan, Ioannidis, Zisis C., Jin, Jianbo, Kalaria, Parth, Latsas, George P., Marek, Alexander, Pagonakis, Ioannis Gr., Peponis, Dimitrios V., Ruess, Tobias, Rzesnicki, Tomasz, Scherer, Theo, Schmid, Martin, Strauss, Dirk, Thumm, Manfred, Tigelis, Ioannis, Wu, Chuaren, Zisis, Anastasios, and Tran, Minh Quang
- Subjects
Technology ,ddc:600 - Abstract
This presentation reports on the 2019 status and focus areas in the development of an advanced gyrotron for the European DEMOnstration Fusion Power Plant (EU DEMO). As specified within the EUROfusion Work Package Heating and Current Drive (WP HCD), the requirements for the gyrotron are as follows: (i) ≥ 2 MW of RF output power at frequencies ≥ 200 GHz; (ii) a total efficiency ≥ 60 %; (iii) the options for multiple-purpose/multi-frequency operation and fast frequency step-tunability within a limited bandwidth of approximately ± 10 GHz. To meet those targets, the R&D activities are organized in five main branches: (1) the experimental verification of the advanced coaxial-cavity gyrotron technology at long pulses; (2) the development of an advanced coaxial-cavity gyrotron that meets the EU DEMO requirements; (3) the fundamental research on multi-stage depressed collectors for enhanced energy recovery; (4) the development of large broadband diamond windows to allow for fast frequency tunability of the gyrotron: (5) the studies on further innovations and improvements of critical gyrotron components and tools in view of optimization of performance, reliability, and industrialization. Possible exchange: Within EUROfusion the EU is working on specific gyrotrons for future EU DEMO. There is a collaboration possible. Additionally, the different institutions within EU are open for any discussion on possible collaboration with regards to tools developments, development of future high-power high-frequency gyrotron teststands, measurements technologies and prospective R&D of further advances in gyrotron technology. If the collaboration is performed within EUROfusion, then the topics will be in line with the approved WPHCD work program.
- Published
- 2019
36. Rewritable superhemophobic and superhemophilic wettability pattern based on titanium dioxide with Ag loading
- Author
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Tran, Minh Quang, Yamaguchi, Yuichi, Yamatoya, Kenji, Horikoshi, Satoshi, and Nakata, Kazuya
- Published
- 2018
- Full Text
- View/download PDF
37. Large Area Diamond Disk Growth Experiments and Thermomechanical Investigations for the Broadband Brewster Window in DEMO.
- Author
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Aiello, Gaetano, Avramidis, Konstantinos A., Franke, Thomas, Gantenbein, Gerd, Jelonnek, John, Meier, Andreas, Scherer, Theo, Schreck, Sabine, Strauss, Dirk, Thumm, Manfred, Tran, Minh Quang, Wild, Christoph, and Woerner, Eckhard
- Subjects
DIAMONDS ,THERMAL instability ,PLASMA heating ,FUSION reactors ,GYROTRONS - Abstract
An electron cyclotron system (ECS) is required in the European DEMO fusion reactor for plasma heating, magnetohydrodynamic control, especially the suppression of neoclassical tearing modes (NTMs), and thermal instability control. Microwave beams of 2 MW, generated by gyrotrons, shall propagate through corrugated HE11 waveguides (WGs) of 63.5-mm inner diameter and finally reach specific locations in the plasma by a dedicated set of mirrors. The deployment of the beam may be done either by angular steering, i.e., tilting moveable mirrors, or by frequency steering, i.e., tuning the gyrotron frequency. In the last option, for long pulse operations, broadband optical grade diamond windows are required as confinement and/or vacuum barriers both at the torus and the gyrotron side. The Brewster-angle window represents a promising solution due to its intrinsic simplicity. However, the WG aperture imposes a minimum Ø180 mm for the disk at the Brewster-angle of 67.2° for diamond. This is an ambitious target, considering 140 mm as the state of the art. First, this article shows the very promising results of diamond growth experiments carried out by Diamond Materials GmbH with the first worldwide free-standing optical grade Ø180-mm disk having an average unpolished thickness of 1.3 mm. For the first time, one side of this large disk was polished and loss tangent measurements were performed at the center and over a large area. Then, the performance of the window featuring these large disks was characterized by a consistent set of thermomechanical analyses in view of the forthcoming window prototyping activity. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
38. Adaptive Pulsatile Plane for Robust Noncontact Heart Rate Monitoring.
- Author
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Tran, Quoc-Viet, Su, Shun-Feng, Sun, Wei, and Tran, Minh-Quang
- Subjects
HEART rate monitors ,HEART rate monitoring ,DIGITAL signal processing ,FACE ,HUMAN facial recognition software - Abstract
This article proposes a novel approach to replace the fixed projection planes existed in the previous researches to reduce motion artifacts obtained from the human face by a normal webcam for monitoring heart rate in a real-time fashion. The novel projection plane is adaptively changed with the light intensity change to eliminate the color distortion induced by motion. In this article, the state-of-the-art semantic segmentation Deeplabv3+ is implemented to segment the skin pixels from the facial region that is detected by several trackers (Boosting, MIL, TLD, Median Flow, Mosse, and CSRT) to boost the computational time compared to the conventional face detection by Haar-Like features. Image and digital signal processing techniques are also applied to eliminate possible noise for obtaining a clean pulse signal. The proposed approach is compared with other existing approaches (Green, PCA, Chrom, and POS) in multiple challenges. From the experiments conducted, the Deeplabv3+ outperforms the conventional K-means for different kinds of skin segmentation. Moreover, the proposed approach is quite robust and stable in the stationary case (with the accuracy 96%), dim-lighting environment and the long-distance up to 4-m away without zooming in camera. Besides, multiple head-movement simulations and motions of fitness are conquered by the APP approach as shown in the experiments. Thus, it can be concluded that the proposed approach is applicable to surveillance or healthcare applications. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
39. Rewritable superhemophobic and superhemophilic wettability pattern based on titanium dioxide
- Author
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Tran, Minh Quang, Yamaguchi, Yuichi, Yamatoya, Kenji, Horikoshi, Satoshi, and Nakata, Kazuya
- Published
- 2018
- Full Text
- View/download PDF
40. Diamond window technology for EC heating and current drive: state of the art
- Author
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Aiello, Gaetano, Scherer, Theo, Avramidis, Konstantinos, Casal, Natalia, Franke, Thomas, Gagliardi, Mario, Ganbeinbein, Gerd, Henderson, Mark, Jelonnek, John, Meier, Andreas, Saibene, Gabriella, Schreck, Sabine, Strauss, Dirk, Thumm, Manfred, Tran, Minh Quang, Wild, Christoph, and Woerner, Eckhard
- Subjects
ddc:620 ,Engineering & allied operations - Published
- 2018
41. 2018 Status of Gyrotron R&D for W7-X, TCV, ITER and EU DEMO within Europe
- Author
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Jelonnek, John, Aiello, Gaetano, Albajar, Ferran, Alberti, Stefano, Avramidis, Konstantinos A., Bonicelli, Tulio, Bruschi, Alex, Chelis, John, Franke, Thomas, Gantenbein, Gerd, Garavaglia, Saul, Granucci, Gustavo, Grossetti, Giovanni, Hogge, Jean-Philippe, Illy, Stefan, Ioannidis, Zisis C., Jin, Jianbo, Kalaria, Parth C., Laqua, Heinrich P., Latsas, Georg P., Pagonakis, Ioannis Gr., Peponis, Dimitrios V., Rzesnicki, Tomasz, Ruess, Sebastian, Ruess, Tobias, Sanchez, Paco, Scherer, Theo, Schmid, Martin, Strauss, Dirk, Thumm, Manfred, Tigelis, Ioannis, Tran, Minh Quang, Wilde, Fabian, and Wu, Chuanren
- Subjects
Technology ,___ ,ddc:600 - Abstract
___
- Published
- 2018
42. Innovative H&CD designs and the impact of their configurations on the performance of the EU DEMO fusion power plant reactor
- Author
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Franke Thomas, Simonin Alain, Bachmann Christian, Strauss Dirk, Aiello Gaetano, Federici Gianfranco, Giovanni Grossetti, Granucci Gustavo, Noterdaeme Jean-Marie, Jelonnek John, Kostas Avramidis, Tran Minh Quang, Sonato Piergiorgio, Agostinetti Piero, Vincenzi Pietro, Wenninger Ronald, Zheng Shanliang, and Scherer Theo
- Subjects
Improvements of Heating & Current Drive ,plasma heating and control ,H&CD ,DEMO - Abstract
Improvements of Heating & Current Drive (H&CD) systems are being investigated for a demonstration fusion power plant DEMO to deliver net electricity for the grid around 2050 [1]. Compared to ITER, which has to show the generation of 500 MW thermal power, the target of DEMO is the successful production of 300 to 500 MW electrical power to the grid and to aim for a self-sufficient Tritium fuel cycle [2]. Three H&CD systems are under development for DEMO in Europe, the Electron Cyclotron (EC) System, the Neutral Beam Injection (NBI) System and the Ion Cyclotron (IC) System. Based on present studies [3] for plasma ramp-up, ramp-down and flat top phases, to be further validated in more detailed simulations, the assumed total launched power needed from the H&CD system in DEMO is in the range of 50-100 MW, to be provided for plasma heating and control. Among other topics, the paper describes the new designs and R&D status of H&CD systems considered for their deployment in DEMO in Europe and the impact of the H&CD configurations on their performances based on those areas described in the European fusion electricity roadmap [4] for the integrated design and system development. These configurations encompass the operation of NBI with reduced Caesium consumption, with modular ion sources and improved injector wall-plug efficiencies, EC system with increased gyrotron frequencies above ITER ones, as well as multi-purpose and frequency step-tunable radio frequency sources, and related strategies for the fabrication of large Brewster angle diamond windows, together with EC launcher designs compatible with a fusion power plant environment, avoiding front-steering by using different launcher concepts. The project also elaborates on new solutions to further increase the wall-plug efficiencies of H&CD systems based on more advanced concepts, with the target to reduce the recirculating power fraction in future fusion power plants. Different studies under investigation will be discussed such as, for NBI, the photo-neutralization and, for EC, new concepts for gyrotron multi-stage depressed collector. This work has been carried out within the framework of the EUROfusion Consortium and has received funding from the Euratom research and training programme 2014-2018 under grant agreement No 633053. The views and opinions expressed herein do not necessarily reflect those of the European Commission. With special thanks to whole WPHCD team for the durable, constructive and fruitful collaboration. [1] Federici, G., et al., ´Overview of EU DEMO design and R&D activities´, Fus. Eng. Design, vol. 89, pp. 882-889, 2014 Wenninger, R., et al., 'The physics and technology basis entering European system code studies for DEMO', Nucl. Fusion 57, 016011, 2017 Vincenzi, P., et al, ´EU DEMO transient phases: main constraints and heating mix studies for rampup and ramp-down', SOFT 2016, accepted for publication in Fus. Eng. Design Romanelli, F., et al., ´Fusion electricity: a roadmap to the realisation of fusion energy´, EFDA, Nov. 2012
- Published
- 2017
43. Overview on recent progress in magnetron injection gun theory and design for high power gyrotrons.
- Author
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Poli, E., Laqua, H., Oosterbeek, J., Pagonakis, Ioannis, Alberti, Stefano, Avramidis, Konstantinos, Legrand, Francois, Gantenbein, Gerd, Genoud, Jérémy, Hogge, Jean-Philippe, Illy, Stefan, Ioannidis, Zisis, Kalaria, Parth, Piosczyk, Bernhard, Ruess, Sebastian, Ruess, Tobias, Rzesnicki, Tomasz, Tran, Minh-Quang, Tran†, Trach-Minh, and Thumm, Manfred
- Subjects
MAGNETRONS ,GYROTRONS ,ELECTRON beams ,NEUTRALIZATION tests ,ELECTRON traps - Abstract
The magnetron injection gun (MIG) is one of the most critical subcomponents in gyrotrons. The electron beam, which has the primary role on the gyrotron operation, is generated and configured at this part of the tube. The electron beam properties determine the excitation mode in the cavity, the power of the generated microwaves and the gyrotron efficiency. The operation of MIGs could be influenced by several factors such as trapped electrons, manufacturing tolerances, roughness of the emitter ring, emitter temperature inhomogeneity, electron beam neutralization effect, etc. The influence of many of these factors on the electron beam quality has been systematically investigated during the last years. Several novelties have been proposed in order to limit the influence of these factors on the gyrotron operation. In particular, new design criteria have been proposed for the suppression of electron trapping mechanisms, a new type of the emitter ring has been proposed to minimize the influence of the manufacturing tolerances and edge effects on the beam quality, alternative MIG design approaches have been proposed, etc. An overview of all these works will be presented here. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
44. Fusion of Vibration and Current Signatures for the Fault Diagnosis of Induction Machines.
- Author
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Liu, Meng-Kun, Tran, Minh-Quang, and Weng, Peng-Yi
- Subjects
- *
FAULT diagnosis , *INDUCTION machinery , *FAULT currents , *AIR compressors , *SUPPORT vector machines , *FUZZY integrals - Abstract
Induction machines are widely used in the industry as one of the major actuators, such as water pumps, air compressors, and fans. It is necessary to monitor and diagnose these induction motors to prevent any sudden shut downs caused by premature failures. Numerous fault detection and isolation techniques for the diagnosis of induction machines have been proposed over the past few decades. Among these techniques, motor current signature analysis (MCSA) and vibration analysis are two of the most common signal-based condition monitoring methods. They are often adopted independently, but each method has its strengths and weaknesses. This research proposed a systemic method to integrate the information received from the vibration and current measurements. We applied the wavelet packet decomposition to extract the time-frequency features of the vibration and current measurements and used the support vector machines as classifiers for the initial decision-making. The significant features were identified, and the performances of several classifiers were compared. As a result, the decision-level sensor fusion based on the Sugeno fuzzy integral was proposed to integrate the vibration and current information to improve the accuracy of the diagnosis. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
45. Dynamic Resource Provisioning on Fog Landscapes.
- Author
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Tran-Minh, Quang and Pham-Nguyen, Hoang-Nam
- Subjects
CLOUD computing ,SMARTPHONES ,COMPUTER storage devices ,COMMUNICATION ,REACTION time ,ELECTRONIC data processing - Abstract
A huge amount of smart devices which have capacity of computing, storage, and communication to each other brings forth fog computing paradigm. Fog computing is a model in which the system tries to push data processing from cloud servers to "near" IoT devices in order to reduce latency time. The execution orderings and the deployed places of services make significant effect on the overall response time of an application. Beside new research directions in fog computing, e.g., fog-cloud collaboration, service scalability, fog scalability, mobile fog computing, fog federation, trade-off between energy consumption and communication efficiency, duration of storing data locally, storage security and communication security, and semantic-aware fog computing, the service deployment problem is one of the attractive research fields of fog computing. The service deployment is a multiobjective optimization problem; there are so many proposed solutions for various targets, such as response time, communication cost, and energy consumption. In this paper, we focus on the optimization problem which minimizes the overall response time of an application with awareness of network usage and server usage. Then, we have conducted experiments on two service deployment strategies, called cloudy and foggy strategies. We analyze numerically the overall response time, network usage, and server usage of those two strategies in order to prove the effectiveness of our proposed foggy service deployment strategy. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
46. Task Placement on Fog Computing Made Efficient for IoT Application Provision.
- Author
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Tran, Minh-Quang, Nguyen, Duy Tai, Le, Van An, Nguyen, Duc Hai, and Pham, Tran Vu
- Subjects
INTERNET of things ,MOBILE computing ,CLOUD computing ,INTELLIGENT transportation systems ,CONTEXT-aware computing - Abstract
Fog computing is one of the promising technologies for realizing global-scale Internet of Things (IoT) applications as it allows moving compute and storage resources closer to IoT devices, where data is generated, in order to solve the limitations in cloud-based technologies such as communication delay, network load, energy consumption, and operational cost. However, this technology is still in its infancy stage containing essential research challenges. For instance, what is a suitable fog computing scheme where effective service provision models can be deployed is still an open question. This paper proposes a novel multitier fog computing architecture that supports IoT service provisioning. Concretely, a solid service placement mechanism that optimizes service decentralization on fog landscape leveraging context-aware information such as location, response time, and resource consumption of services has been devised. The proposed approach optimally utilizes virtual resources available on the network edges to improve the performance of IoT services in terms of response time, energy, and cost reduction. The experimental results from both simulated data and use cases from service deployments in real-world applications, namely, the intelligent transportation system (ITS) in Ho Chi Minh City, show the effectiveness of the proposed solution in terms of maximizing fog device utilization while reducing latency, energy consumption, network load, and operational cost. The results confirm the robustness of the proposed scheme revealing its capability to maximize the IoT potential. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
47. Commonsense knowledge extraction for Tidy-up robotic service in domestic environments.
- Author
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Skulkittiyut, Weerachai, Lee, Haeyeon, Ngo Lam, Trung, Tran Minh, Quang, Baharudin, Muhammad Ariff, Fujioka, Takashi, Kamioka, Eiji, and Mizukawa, Makoto
- Abstract
Commonsense is one of the keys to enable human-robot communication in daily life scenarios. It is very difficult for a robot to do tasks ordered by a human without having some basic knowledge to understand the human's commands. This paper proposes a method to automatically build commonsense knowledge for the “Tidy-up” service, in which a robot is asked to take objects such as books, cups, dishes on a table to appropriate places automatically. We defined three object classes that are necessary for the service, namely “Washable”-objects that need to be washed, “Reusable”-objects that need to be stored for reuse, and “Trashable”-objects that need to be disposed of. For each object, multiple attributes were extracted from both the ConceptNet knowledge base and the Google search engine, and fed to classifiers to classify the object into the appropriate class. To evaluate the proposed method, output from classifiers were compared with the result from actual human. The result showed that the proposed approach is efficient in classifying objects and in providing object type as commonsense knowledge, hence, helping the robots to understand human intention and to provide intuitive service. [ABSTRACT FROM PUBLISHER]
- Published
- 2013
- Full Text
- View/download PDF
48. Context-Aware Mobile Intelligent Transportation Systems.
- Author
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Tran, Minh Quang, Baharudin, Muhammad Ariff, and Kamioka, Eiji
- Abstract
This paper proposes a practical quantification model for mobile phone based traffic state estimation systems (M-TES). The low penetration rate issue, an inherent issue impeding the realization of a mobile phone based application such as the M-TES, is thoroughly discussed. A notable solution framework, namely the intelligent context-aware velocity-density inference circuit (ICIC), is proposed to effectively resolve the low penetration rate issue. In the ICIC model, velocities and densities calculated directly from the sensed data and inferred by using different inference models such as the Greeshields or the moving average model are appropriately integrated. In addition, appropriate contexts extracted from data reported by mobile devices are utilized to identify the optimal estimation parameters leading to the optimal estimation effectiveness. The experimental evaluations reveal the effectiveness and the robustness of the proposed solutions. [ABSTRACT FROM PUBLISHER]
- Published
- 2012
- Full Text
- View/download PDF
49. Neo-immersion.
- Author
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Whitson, Jennifer, Eaket, Chris, Greenspan, Brian, Tran, Minh Quang, and King, Natalie
- Published
- 2008
- Full Text
- View/download PDF
50. Collaboration in serious game development.
- Author
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Tran, Minh Quang and Biddle, Robert
- Published
- 2008
- Full Text
- View/download PDF
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