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Pham Xuan Hien,Do Anh Tuan,전병훈 한국물리학회 2012 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.61 No.1
A consistent set of low-energy electron-collision cross sections for the tetramethylsilane (TMS) molecule has been derived from the measured electron transport coefficients for a pure TMS molecule by using an electron swarm study and a two-term approximation of the Boltzmann equation for energy. The electron transport coefficients, which were calculated by using the derived set, are consistent with the experimental data over a wide range of E/N values (ratio of the electric field E to the neutral number density N). The present set of electron collision cross sections for the TMS molecule, therefore, is the best available so far for quantitative numerical modeling of plasma discharges for processing procedures with materials containing TMS molecules. The electron-transport coefficients in TMS-Ar and TMS-O<sub>2</sub> mixtures were also calculated and analyzed in a wide range of E/N ratios for the first time. The presence of a remarkable synergism in the Townsend first ionization coefficient has been pointed out in the TMS-O<sub>2</sub> mixtures.
Determination of the Electron Collision Cross Section Set for the C2F6 Molecule
Pham Xuan Hien,Do Anh Tuan,Byung-Hoon Jeon 한국물리학회 2016 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.69 No.12
The electron drift velocity and the density-normalized longitudinal diffusion coefficient in the pure C2F6 molecule over the E/N range of 0.1-100 Td have been measured using a double shutter drift tube, where E is the electric field and N is the neutral number density. Our electron drift velocity values are in good agreement with those reported in a previous work on the C2F6 molecule. The negative differential conductivity phenomenon was found in the electron drift velocity. The results of our new measurements on the pure C2F6 molecule, along with the available electron transport coefficients, in 0.524 and 5.47 % C2F6 - Ar mixtures were used to successfully obtain the most reliable set of electron-collision cross sections for the C2F6 molecule by using a multi-term Boltzmann analysis.
Pham Xuan Hien,Gon-Woo Kim 제어로봇시스템학회 2021 제어로봇시스템학회 국제학술대회 논문집 Vol.2021 No.10
Obstacle avoidance problems using Deep Reinforcement Learning (DRL) are becoming possible solutions for autonomous mobile robots. In real-world situations with stationary and moving obstacles, mobile robots must be able to navigate to a goal and safely avoid collisions. This work is an extension of ongoing research on the navigation approach for a mobile robot. We show that through the proposed DRL, a goal-oriented collision avoidance model can be trained end-to-end without manual turning or supervision by a human operator. We suggest performing the obstacle avoidance algorithm of the mobile robot in both simulated environments and continuous action space of the real world. Finally, we measure and evaluate the obstacle avoidance capability through data collection of hit ratio metrics during robot execution.
Pham Xuan Hien,전병훈 한국물리학회 2014 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.64 No.9
A set of low-energy electron-collision cross sections for ethene (C2H4) is necessary for quantitativenumerical modeling of plasma discharges for processing procedures with materials containingC2H4 molecules. The set was derived from the measured electron transport coefficients for a pureC2H4 molecule by using an electron swarm study and a two-term approximation to the Boltzmannequation for energy. The electron transport coefficients, which were calculated by using the derivedset, are in good agreement with the experimental values over a wide range of E/N ratios in pureC2H4 molecule, where E is the electric field and N is the neutral number density. The validity ofthe present set of the C2H4 molecule was not only checked by using a Monte Carlo simulation butalso evaluated by comparison with another set.
Hung, Pham Tien,Hien, Vu Xuan,Hoat, Phung Dinh,Lee, Sangwook,Lee, Joon-Hyung,Kim, Jeong-Joo,Heo, Young-Woo Elsevier 2019 Scripta materialia Vol.172 No.-
<P><B>Abstract</B></P> <P>Herein we report on the growth of layered BiI<SUB>3</SUB> nanoplates materials and their sensing properties of NO<SUB>2</SUB> under violet light illumination. The BiI<SUB>3</SUB> nanoplates were grown on a glass substrate using a chemical vapor deposition (CVD) system, with an average thickness of 30 nm and the lateral dimension of 150–170 nm. Their photo-induced sensing response for 20 ppm NO<SUB>2</SUB> and the response/recovery time are approximately ~11.2% and 18/36 s, respectively. The limit of detection (LOD) of NO<SUB>2</SUB> for the BiI<SUB>3</SUB> sensor is 25 ppb. A possible light-induced gas-sensing mechanism was proposed and investigated for the BiI<SUB>3</SUB> nanoplate.</P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
Quoc Tuan Hoang,Xuan Hien Pham,Anh Vu Le,Trung Thanh Bui 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.3
Diagnosing breast diseases using ultrasound (US) images remains challenging because it is time-consuming and requires expert radiologist knowledge. As a result, the diagnostic performance is significantly biased. To assist radiologists in this process, computer-aided diagnosis (CAD) systems have been developed and used in practice. This type of system is used not only to assist radiologists in examining breast ultrasound images (BUS) but also to ensure the effectiveness of the diagnostic process. In this study, we propose a new approach for breast lesion localization and segmentation using a multi-scale pyramid of the ultrasound image of a breast organ and a convolutional semantic segmentation network. Unlike previous studies that used only a deep detection/segmentation neural network on a single breast ultrasound image, we propose to use multiple images generated from an input image at different scales for the localization and segmentation process. By combining the localization/segmentation results obtained from the input image at different scales, the system performance was enhanced compared with that of the previous studies. The experimental results with two public datasets confirmed the effectiveness of the proposed approach by producing superior localization/segmentation results compared with those obtained in previous studies.
Phan Thi Tuoi,Do Anh Tuan,Pham Xuan Hien 한국물리학회 2018 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.73 No.12
A reliable set of low-energy electron collision cross sections for the triethoxysilane (TRIES) molecule was derived based on the measured electron transport coecients for a pure TRIES molecule by using an electron swarm method and a two-term approximation of the Boltzmann equation. The electron transport coecients calculated using the derived set are in good agreement with experimental value over a wide range of E=N values (ratio of the electric field E to the neu- tral number density N). The present electron collision cross section set for the TRIES molecule, therefore, is the most reliable so far for plasma discharges and for materials processing using the TRIES molecule. Moreover, the electron transport coecients for the TRIES-Ar and the TRIES-O2 mixtures were also calculated and analyzed over a wide range of E=N for the first time.