Search

Current filters:


Current filters:


Search Results

Results 31-40 of 144 (Search time: 0.001 seconds).
  • Authors: Govindaraj Ramya; Govindaraj Priya; Chowdhury Subrata; Dohyeun Kim; Duc Tan Tran; Anh Ngoc Le;  Advisor: -;  Co-Author: - (2021)

    The extremely vibrant, scattered, and non–transparent nature of cloud computing formulate trust management a significant challenge. According to scholars the trust and security are the two issues that are in the topmost obstacles for adopting cloud comput

  • Authors: Nguyen, Tuan Anh; Ngo, Xuan Dinh; Hoang, Van Tuan; Tran Hung Thanh; Le Minh Tung; Van Phan Le; Doan Quang Tri; Anh Tuan Le;  Advisor: -;  Co-Author: - (2021)

    Thiram plays a critical role in protecting fruits and vegetables from damage by various crop diseases, but its residues significantly affect the environment, such as soil and water pollution, and becoming a serious threat to human health. Herein, Tween 80-capped copper nanoparticles (Tween 80-CuNPs) were developed as a convenient and low-cost colorimetric probe for selective detection of thiram pesticide. In the presence of thiram, the color of Tween 80-capped CuNPs changed from dark brown to olive green and colorless at high thiram concentrations. The Tween 80-capped CuNPs-based colorimetric probe exhibited good selectivity and high sensitivity (LOD about 0.17 μM) with a high linearity level in the calibration range of 0.5–25 μM of thiram concentrations. The thiram limit of detecti...

  • Authors: Ho, Nang Xuan;  Advisor: Le, Tien-Thinh;  Co-Author: - (2021)

    This study investigates the performance and robustness of regression machine-learning models in the presence of variability in the experimental database. The main objective of this work is to predict the ultimate load of circular concrete-filled steel tubes. The simulations were designed by combining size of the learning dataset, random realizations and prediction models. The variability (i.e. probability density function of each variable) is propagated to the output response through the regression machine-learning models. Results show that such variability must be considered when training and testing regression machine-learning models. The performance and robustness of the prediction models are presented and discussed. Based on the most robust and efficient model, a prediction equa...

  • Authors: Doan Nguyen Cong; Khanh Nguyen Duc; Vinh Nguyen;  Advisor: -;  Co-Author: - (2021)

    In this study, the effect of dimethyl ether enriched air (DMEA) on pollutants and performance characteristics a diesel engine was evaluated. The combustion parameters have been evaluated by simulation method. Simulation results show that the in-cylinder pressure increases slightly while the combustion duration is shorter for DMEA-engine compared to the original case. In addition, a comparative test on DMEA-engine was carried out, in which DME was supplied into the intake manifold at a constant concentration to the mass of intake air. The results show that, when operating with DMEA, the brake specific energy consumption (BSEC) reduces slightly at full load condition by 2.20%. While, at a speed of 1600 rpm, the BSEC increases from 2.6% to 7.7% at low load and slides from 3.1% to 5.5% ...

  • Authors: Tuyet Nhung Pham; Vu Khac Hoang Bui; Young-Chul Lee;  Advisor: -;  Co-Author: - (2021)

    The state-of-the-art development progress of the fabrication, design, modification, and applications of TiO2-B-based hierarchical nanostructures with a well-controlled size and morphology in lithium-ion battery (LIB) applications has been summarized and discussed. Based on studying on lithiation/delithiation on mechanisms of a typical metal oxide nanomaterials, along with doping with foreign atoms (metal or non-metal), using electronically conductive additives (graphene/graphene derivatives), as well as designing and using hierarchical anode-material nanostructures (hybrids/composites) containing two or more constituents in LIB applications, these strategies have provided many great opportunities to take maximum advantage of both the high capacity and rate capacity while avoiding si...

  • Authors: Huy L. Xuan;  Advisor: Tam D. Duc; Anh M. Thuy; Phuong M. Chau; Truong T. Tung;  Co-Author: - (2021)

    Polybia-MP1 is a well-known natural antimicrobial peptide that has been intensively studied recently due to its therapeutic potential. MP1 exhibited not only potent antibacterial activity but also antifungal and anticancer properties. More importantly, MP1 shows relatively low hemolytic activity compared to other antimicrobial peptides having a similar origin. Thus, besides investigating possible mechanisms of action, great efforts have been invested to develop this peptide to become more “druggable”. In this review, we summarized all the chemical approaches, both success and failure, that using MP1 as a lead compound to create modified analogs with better pharmacological properties. As there have been thousands of natural AMPs found and deposited in numerous databases, such useful ...

  • Authors: Tung Pham Huu;  Advisor: Tam Ninh Thi-Thanh; Chi Nguyen-Yen; Hung Tran; Viet Nguyen Dinh; Van Nhan Vo;  Co-Author: - (2021)

    In this paper, we analyze the secrecy outage probability (SOP) and the fairness of average packet transmission time for a non-orthogonal multiple access (NOMA) system which consists of a base station (BS) and two legal NOMA users in the presence of an eavesdropper (Eve). In order to extract the superimposed signal, the Eve is considered in two modes, i.e., successive interference cancellation (SIC) mode and parallel interference cancellation (PIC) mode. Accordingly, we analyze the secrecy performance of the considered system by deriving a new exact expression for SOP. Furthermore, the optimal power allocation between two legal users is determined such that the average transmission time from BS to two legitimate users are approximately equal to achieve the fairness of average packet ...

  • Authors: Thanh Cong Nguyen;  Advisor: -;  Co-Author: - (2021)

    Motivated by the unprecedented high levels of recent economic policy uncertainty in Europe and the globe, this paper examines the relationship between economic policy uncertainty and bank stability, as well as the conditioning effects of bank regulation and supervision on this relationship. Using a sample of more than 950 commercial banks in eight major European countries over the period 2005–2020, economic policy uncertainty has been consistently linked to a sharp decrease in bank stability, once other traditional drivers are controlled for. More importantly, this paper offers important insights into how strengthening bank regulation and supervision, particularly regulations on activity restrictions, capital stringency, official supervisory power, and private monitoring, cushions t...