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Dieu Linh Tran,Anh Phuong Nguyen Hong,Ngoc Hoi Nguyen,Ngoc Trinh Huynh,Bao Ha Le Tran,Cam Tu Tran,Minh Dung Truong,Quan Dang Nguyen,박기동,Dai Hai Nguyen 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.120 No.-
α-calcium sulfate hemihydrate (α-HH) was synthesized by salt solution methods to prepare a promising biomaterial for bone tissue repair and regeneration. The successful synthesis of α-HH was evaluated by field emission scanning electron microscopy (FE-SEM), thermogravimetric analysis (TGA), X-ray diffraction (XRD), and Fourier transform infrared (FTIR) scanning. The sterility of α-HH before and after irradiation with gamma ray was firstly confirmed by Colonies Forming Units (CFU) counting assay, to target the surgical grade application. In vitro tetrazolium bromide (MTT) assay, crystal violet (CV) and acridine orange (AO) staining was performed to assess the initial cytotoxicity and cell attachment ability of α-HH. Further in vivo implantation into rabbit distal femoral condyles defect exhibited the ability of salt solution-synthesized α-HH to promote the localization of osteocytes and osteoblasts, which improve the bone tissue repair and regeneration. The findings suggested that α-calcium sulfate hemihydrate synthesized by salt solution method is a potential material that can be used as bone substitutes.
Nguyen, Dinh Quan,Oh, Ji-Hee,Kim, Chang-Soo,Kim, Seung-Wook,Kim, Hong-Gon,Lee, Hyun-Joo,Kim, Hoon-Sik Korean Chemical Society 2007 Bulletin of the Korean Chemical Society Vol.28 No.12
A series of quaternary ammonium-based ionic liquids (ILs) containing an alkyl carbonate group on the cation was first prepared and their physical and electrochemical properties including density, viscosity, thermal stability, electrochemical stability, and ionic conductivity were reported. These ILs exhibited wide electrochemical windows of at least 5.0 V and relatively high conductivities. In contrast to dialkyl-substituted ionic liquids, the ILs with an alkyl carbonate group on the cation showed much smaller drop in conductivities when mixed with a lithium salt, due to the interaction of lithium ions with carbonate groups. Upon interaction with a Li salt, the carbonyl stretching frequency of the carbonate group shifted to a lower frequency whereas the peak associated with C-O single bond moved to a higher frequency.
Chi-Lang Nguyen,Nguyen Hong Quan,Binh Tinh Tran,Yung-Hsuan Su,Shih-Hsuan Tang,Guang-Li Luo,Edward Yi Chang 대한금속·재료학회 2014 ELECTRONIC MATERIALS LETTERS Vol.10 No.4
High crystal quality, smooth surface and fully relaxed Ge1-xSix (0.05 ≤ x ≤ 0.1) buffers are grown on 6°-off (100) Si substrate by UHV-CVD. A low-temperature (LT) Ge seed layer is used to improve the quality of the Ge1-xSix buffers. In this study, the LT-Ge seed layer is deposited directly onto the Si substrate at a low temperature of 315°C. After that, stress-free Si0.1Ge0.9 and Si0.05Ge0.95 layers are grown, respectively. An in-situ annealing process is also performed for the Si0.1Ge0.9/LT-Ge layers to increase the degree of relaxation. The total thickness of the epitaxial layer is 270 nm, with the average surface roughness at 0.6 nm.
Required Base Station Density for Communication-Efficient Federated Learning in Small-Cell Networks
Khoa Anh Nguyen,Quan Anh Nguyen,Jun-Pyo Hong 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.6
Federated Learning (FL) generates massive benefits of shared machine learning models without violating security and privacy requirements, making this setting relevant for many wireless applications. In this paper, we comprehensively investigate the effects of geographic node deployment on the model aggregation in federated learning on the basis of stochastic geometry-based analysis. Based on the coverage probability expression derived with stochastic geometry framework, we derive and discuss the minimum required base station density for achieving a target model aggregation rate in small-cell networks with algorithms for optimizing the target transmission rate and the base station density.
Evaluation of Recurrent Neural Network Variants for Person Re-identification
Cuong Vo Le,Nghia Nguyen Tuan,Quan Nguyen Hong,Hyuk-Jae Lee 대한전자공학회 2017 IEIE Transactions on Smart Processing & Computing Vol.6 No.3
Instead of using only spatial features from a single frame for person re-identification, a combination of spatial and temporal factors boosts the performance of the system. A recurrent neural network (RNN) shows its effectiveness in generating highly discriminative sequence-level human representations. In this work, we implement RNN, three Long Short Term Memory (LSTM) network variants, and Gated Recurrent Unit (GRU) on Caffe deep learning framework, and we then conduct experiments to compare performance in terms of size and accuracy for person reidentification. We propose using GRU for the optimized choice as the experimental results show that the GRU achieves the highest accuracy despite having fewer parameters than the others.
The Effect of CdS QDs Structure on the InGaP/GaAs/Ge Triple Junction Solar Cell Efficiency
Chen-Chen Chung,Binh Tinh Tran,Hau-Vei Han,Yen-Teng Ho,Hung-Wei Yu,Kung-Liang Lin,Hong-Quan Nguyen,Peichen Yu,Hao-Chung Kuo,Edward Yi Chang 대한금속·재료학회 2014 ELECTRONIC MATERIALS LETTERS Vol.10 No.2
This work describes optical and electrical characteristics of InGaP/GaAs/Ge triple-junction (T-J) solar cells with CdS quantum dots (QDs) fabricated by a novel chemical solution. With the anti-reflective feature at long wavelength and down-conversion at UV regime, the CdS quantum dot effectively enhance the overall power conversion efficiency more than that of a traditional GaAs-based device. Experimental results indicate that CdS quantum dot can enhance the short-circuit current by 0.33 mA/cm2, which is observed for the triple-junction solar cells with CdS QDs of about 3.5 nm in diameter. Moreover, the solar cell conversion efficiency is improved from 28.3% to 29.0% under one-sun AM 1.5 global illumination I-V measurement.