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Hoang Vu Dao,Xuan Dinh To,Hoai Vu Anh Truong,Tri-Cuong Do,Cong Minh Ho,Tri Dung Dang,안경관 한국정밀공학회 2021 International Journal of Precision Engineering and Vol.8 No.4
Fuel cell hybrid electric construction equipment (FCHECE) is known as a promising solution to achieve the goal of energy saving and environment protection. Energy management strategy is a key technology of FCHECE, which splits the energy fl ow between power sources. This paper presents a novel optimal energy management strategy for a hybrid electric-powered hydraulic excavator system to enhance power performance, power sources lifespan, and fuel economy. As for the proposed powertrain configuration, fuel cell serves as a primary energy source, and supercapacitor and battery are considered as energy storages. The integration of supercapacitor and battery in fuel cell vehicle has advantages of improving power performance and storing the regenerative energy for future usage. An energy management strategy based on fuzzy logic control and a rule-based algorithm is proposed to effectively distribute the power between the three sources and reuse the regenerative energy. Furthermore, the parameters of the fuzzy logic system are optimized using the combination of a backtracking search algorithm which provides a good direction to the global optimal region and sequential dynamic programming as a local search method to fi ne-tune the optimal solution in order to reduce the hydrogen consumption and prolong the lifetime of the power sources. Simulation results show that the proposed energy management strategy enhances the vehicle performance, improves fuel economy of the FCHECE by 10.919%, increase battery and supercapacitor charge-sustaining capability as well as efficiency of the fuel cell system.
FGW-FER: Lightweight Facial Expression Recognition with Attention
Huy-Hoang Dinh,Hong-Quan Do,Trung-Tung Doan,Cuong Le,Ngo Xuan Bach,Tu Minh Phuong,Viet-Vu Vu 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.9
The field of facial expression recognition (FER) has been actively researched to improve human-computer interaction. In recent years, deep learning techniques have gained popularity for addressing FER, with numerous studies proposing end-to-end frameworks that stack or widen significant convolutional neural network layers. While this has led to improved performance, it has also resulted in larger model sizes and longer inference times. To overcome this challenge, our work introduces a novel lightweight model architecture. The architecture incorporates three key factors: Depth-wise Separable Convolution, Residual Block, and Attention Modules. By doing so, we aim to strike a balance between model size, inference speed, and accuracy in FER tasks. Through extensive experimentation on popular benchmark FER datasets, our proposed method has demonstrated promising results. Notably, it stands out due to its substantial reduction in parameter count and faster inference time, while maintaining accuracy levels comparable to other lightweight models discussed in the existing literature.
Subacute thyroiditis after receiving the vaccine for COVID-19: a case report and literature review
Thanh Binh Vu,Dinh Toi Chu,Dinh Tuan Le,Thi Thuy Dieu Hoang,Philippe Gautret,Van Thuan Hoang 대한백신학회 2022 Clinical and Experimental Vaccine Research Vol.11 No.2
A 38-year-old female patient, with healthy history, was vaccinated with ChAdOx1 nCoV-19 (Astra Zeneca Cambridge, UK). Five days after the second injection, the patient presented headache, vertigo, then fatigue, nervousness, palpitations, shortness of breath, small amplitude tremors, and sweating episodes. Laboratory investigation revealed a suppressed thyroid-stimulating hormone (TSH), with elevated free thyroxine. However, the TSH receptor antibody and anti-thyroid peroxidase antibody were normal and thyroid-stimulating immunoglobulin negative. The patient was maintained on Metoprolol, and no specific treatment was added. After 3 months of following, the patient now feels comfortable. Our literature review found that 21 cases of subacute thyroiditis (SAT) following coronavirus disease 2019 (COVID-19) vaccines were reported. Most patients were young women who presented neck pain and systemic symptoms, with or without fever. These symptoms can appear as early (3 to 5 days), or later (1 month) after vaccination, regardless of vaccine type and mechanism of action. Laboratory tests showed decreased levels of TSH and elevated thyroid hormone. The mechanism of this event remains unknown. Further study is recommended to investigate the possible predisposing factors to developing SAT after receiving the COVID-19 vaccine.
Design, Synthesis and In Vitro Cytotoxic Activity Evaluation of New Mannich Bases
Bui, Trung Hieu,Le, Thi Thuy,Vu, Thu Thuy,Hoang, Xuan Tien,Luu, Van Chinh,Vu, Dinh Hoang,Tran, Khac Vu Korean Chemical Society 2012 Bulletin of the Korean Chemical Society Vol.33 No.5
A series of Novel Mannich bases has been synthesized and evaluated $in$ $vitro$ cytotoxic activity against the human hepatocellular carcinoma (HepG2), human lung carcinoma (SK-LU-1), and human breast cancer (MCF-7). Compound $\mathbf{9f}$ was found to be most potent against three cell lines with $IC_{50}$ values of 1.57, 1.16 and 1.21 ${\mu}g$/mL, respectively. In addition, compounds $\mathbf{9g}$, $\mathbf{10f}$ exhibited very significant activity against MCF-7 cell line with $IC_{50}$ values of 2.0 ${\mu}g$/mL.
Dinh, To Xuan,Thuy, Le Khac,Tien, Nguyen Thanh,Dang, Tri Dung,Ho, Cong Minh,Truong, Hoai Vu Anh,Dao, Hoang Vu,Do, Tri Cuong,Ahn, Kyoung Kwan The Korean Society for Fluid Power and Constructio 2019 드라이브·컨트롤 Vol.16 No.2
Fuel cell hybrid electric vehicle is an attractive solution to reduce pollutants, such as noise and carbon dioxide emission. This study presents an approach for energy management and control algorithm based on energetic macroscopic representation for a fuel cell hybrid electric vehicle that is powered by proton exchange membrane fuel cell, battery and supercapacitor. First, the detailed model of the fuel cell hybrid electric vehicle, including fuel cell, battery, supercapacitor, DC-DC converters and powertrain system, are built on the energetic macroscopic representation. Next, the power management strategy was applied to manage the energy among the three power sources. Moreover, the control scheme that was based on back-stepping sliding mode control and inversed-model control techniques were deduced. Simulation tests that used a worldwide harmonized light vehicle test procedure standard driving cycle showed the effectiveness of the proposed control method.
Effect of nanostructured MoS2 morphology on the glucose sensing of electrochemical biosensors
Dinh Van Tuan,Dang Thi Thuy Ngan,Nguyen Thi Thuy,Hoang Lan,Nguyen Thi Nguyet,Vu Van Thu,Vuong-Pham Hung,Phuong Dinh Tam 한국물리학회 2020 Current Applied Physics Vol.20 No.9
In this study, the effects of the morphological characteristics of MoS2 nanomaterials on the glucose sensing of electrochemical biosensors were explored. Nanostructured MoS2 materials, including nanoparticles (NPs), nanoflowers (NFs), and nanoplatelets (NPLs), were prepared via a simple hydrothermal method. The structure and morphological characteristics of MoS2 nanomaterials were examined through X-ray diffraction, field emission scanning electron microscopy, and Raman spectroscopy. Electrochemical properties were analyzed through cyclic voltammetry. Results showed that the obtained sensitivity was 64, 68.7, and 77.6 μAmM 1 cm 2 for MoS2 NP-, MoS2 NF-, and MoS2 NPL-based biosensors, respectively. The limit of detection (LOD) of all MoS2-based glucose biosensors was 0.081 mM. In addition, the pH, temperature, glucose oxidase (GOx) concentration, reproducibility, specificity, and stability of glucose biosensors with different MoS2 morphologies were also investigated and indicated the oxidation current response of the MoS2 NPL-based glucose biosensor was higher than that of MoS2 NF- and NP-based biosensors.
Dinh, Thi Hinh,Tran, Vu Diem Ngoc,Nguyen, Thi Thao,Hoang, Quyen Thi Ngoc,Han, Hyoung–,Su,Lee, Jae–,Shin Elsevier 2017 CERAMICS INTERNATIONAL Vol.43 No.18
<P><B>Abstract</B></P> <P>This study investigated the microstructure, dielectric, ferroelectric, and strain properties of lead‒free 0.995Bi<SUB>1/2</SUB>(Na<SUB>0.82</SUB>K<SUB>0.18</SUB>)<SUB>1/2</SUB>TiO<SUB>3</SUB>–0.005BaZrO<SUB>3</SUB>/0.98Bi<SUB>1/2</SUB>(Na<SUB>0.78</SUB>K<SUB>0.22</SUB>)<SUB>1/2</SUB>TiO<SUB>3</SUB>–0.02LaFeO<SUB>3</SUB> (BNKT18BZ/BNKT22LF) ceramic composites. We found that the required electric field for trigging the phase transition from ergodic relaxor (ER) to ferroelectric of BNKT18BZ/BNKT22LF ceramic composites can be effectively decreased by adding BNKT18BZ as nonergodic relaxor (NER) with changes of three different stabilized regions and the highest <I>S</I> <SUB>usable</SUB> peak points as a function of the applied electric field. The highest <I>d</I> <SUB>33</SUB> <SUP>*</SUP> value of 690p.m./V was obtained at 4kV/mm for 0.3wt BNKT18BZ fraction ceramic composites. This value was higher than 575 p.m./V of BNKT22LF ceramics under an applied electric field of 5kV/mm.</P>