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Results 61-70 of 352 (Search time: 0.001 seconds).
  • Authors: Nguyen, Trung Kien;  Advisor: Hoang, Tuan Hai;  Co-Author: - (2021)

    Using bio-based fuels in diesel engines is an effective solution to reduce the generation of toxic components in the exhaust gas. One of them, alcohol, is the potential fuel to reduce emissions and dependence on fossil fuels. So, this study is aimed to investigate the effects of ethanol port injection timing and delivery rate on the combustion characteristic of a heavy-duty V-12 diesel engine when ethanol substitution percentage is 30% to reach the original diesel quantity at full load. The combustion characteristic analysis indicates that the variation in cylinder gas pressure and temperature decreases when retarded ethanol injection timing and decreased ethanol delivery rate, the engine works more smoothly due to the maximum rate of pressure rise decreases. However, the changes ar...

  • Authors: Thanh, Trung Nguyen; Khaled, Elbassioni; Nguyen, Cong Luong; Tao, Dusit Niyato; Dong, In Kim;  Advisor: -;  Co-Author: - (2022)

    In this paper, we consider a distributed joint sensing and communication (DJSC) system in which each radar sensor as a JSC node is equipped with a sensing function and a communication function. Deploying multiple JSC nodes may require a large amount of bandwidth. Therefore, we investigate the bandwidth allocation problem for the DJSC system. In particular, we aim to optimize the bandwidth allocation to the sensing function and the communication function of the JSC nodes. To improve the allocation efficiency while benefiting the spatial diversity advantage of the DJSC systems, the objective is to maximize the sum of sensing performances, i.e., estimation rates, communication performances, i.e., communication data rates, and fairness of all the users. The optimization problem is non-c...

  • Authors: Huy Xuan, Luong; Hai Thi Phuong, Bui; Truong, Thanh Tung;  Advisor: -;  Co-Author: - (2022)

    The threats of drug resistance and new emerging pathogens have led to an urgent need to develop alternative treatment therapies. Recently, considerable research efforts have focused on membrane-active peptides (MAPs), a category of peptides in drug discovery with antimicrobial, anticancer, and cell penetration activities that have demonstrated their potential to be multifunctional agents. Nonetheless, natural MAPs have encountered various disadvantages, which mainly include poor bioavailability, the lack of a secondary structure in short peptides, and high production costs for long peptide sequences. Hence, an “all-hydrocarbon stapling system” has been applied to these peptides and proven to effectively stabilize the helical conformations, improving proteolytic resistance and increa...

  • Authors: Vu Le Huy; Nguyen Dinh Dzung;  Advisor: -;  Co-Author: - (2021)

    Since parallel robots are the multibody systems with closed-loop structures, their movement equations usually are in the complex form of redundant coordinates and their dynamics parameters are usually uncertain. The aim of this paper is to improve the control quality for the parallel robot by applying RBF neutron network. Firstly, the movement equations of Rostock Delta robot are established as differential–algebraic systems of equations with redundant generalized coordinates. Then, the stableness of the control method based on sliding mode control law using neural network is proved. Finally, the error in tracking control of a specific Rostock Delta robot is simulated by using this method.

  • Authors: Tien,Thinh Le; Minh, Vuong Le;  Advisor: -;  Co-Author: - (2022)

    This work develops a Neural Network (NN) model for the prediction of the tensile modulus of carbon nanotube (CN)/polymer nanocomposites, based on experimental database. A data set composed of 282 configurations is collected from available resources. Considered input variables of the dataset are such as mechanical properties of separated phases, density of polymer matrix, processing method, geometry of CN, modification method at the CN surface, etc. while the problem output is the tensile modulus of nanocomposite. Parametric studies have been performed in finding optimum architecture of the proposed NN model.

  • Authors: Xiong Yang; Xue-Jing Xing; Yi-Fan Liu; Chun-Hong Mu; Hao Van Bui; Zhong-Wei Zhang; Simeon Agathopoulos; Xin Xu; Liang-Jun Yin;  Advisor: -;  Co-Author: - (2021)

    Nitride red phosphors of Sr2Si5N8:Eu2+ are synthesized in mild conditions and exhibit excellent luminescence properties; yet, the occurrence of thermal degradation results in a decrease of their luminous intensity and quantum efficiency at the high working temperature of wLED. This work shows that Sr2Si5N8:Eu2+ phosphors, prepared by a high-temperature solid-state reaction, undergo severe thermal degradation at high temperatures, not only in air atmosphere, but even in highly pure N2 gas. In order to shed light on the degradation mechanism, the materials obtained after heat-treatment at various temperatures up to 600 °C were thoroughly characterized at the investigated temperatures with the aid of several experimental techniques, such as in-situ HRTEM, along with XPS, luminescence s...

  • Authors: Duc, Tu Vua; Ngoc, Hai Vua; Seoyong, Shin; Thanh,Tuan Pham;  Advisor: -;  Co-Author: - (2022)

    We here invent an implicitly new optical device - cylindrical Fresnel lenses historically used in the decades-old lighthouse concentrator to find application in the field of concentrator photovoltaic, with numerous demonstrations of exotic features in optics. The precious attribute of such a solar concentrator is its ability to grant a focal point sequence, essentially distributed over an arc at any light incidence. The other striking merit of this design is its high acceptance angle, about 60°, at hand and even up to 90°, ideally. We have applied this approach to a simplified principle-of-concept model that closely depicts the octagonal cylindrical Fresnel lens in essence. This convergence feature was evidenced in a mock-up model through optical simulation and further consolidated ...

  • Authors: Hai-Le Bui; Ngoc-An Tran;  Advisor: -;  Co-Author: - (2022)

    Tuned mass dampers (TMDs) to improve long-span bridges' critical flutter wind speed have been widely investigated. However, the optimization of the parameters of TMDs to increase the aerodynamic stability of the long-span bridge girders in the most efficient way has not been properly considered. The present study shows a novel approach in optimizing the parameters of TMDs installed in the sectional model of the long-span bridge to maximize the critical flutter wind speed of the system based on a multi-objective optimization method. The objective functions, maximizing critical flutter wind speed and minimizing TMDs’ mass, are included simultaneously. The configuration parameters of TMDs are considered as design variables. Balancing composite motion optimization (BCMO), a recently pub...

  • Authors: Duong, Van Loi; Cao H. Nam; Ngo, Hai Tan; Phung, Van Dong;  Advisor: -;  Co-Author: - (2022)

    A new observation is that fundamental particles possess a dynamical dark charge, which governs both neutrino mass and dark matter, where the neutrino mass is determined via a canonical seesaw, while the dark matter stability is ensured by electric and color charge conservations