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Results 251-260 of 691 (Search time: 0.001 seconds).
  • Authors: Vu Huu Nhu;  Advisor: -;  Co-Author: - (2021)

    This work is concerned with second-order necessary and sufficient optimality conditions for optimal control of a non-smooth semilinear elliptic partial differential equation, where the nonlinearity is the non-smooth max-function and thus the associated control-to-state operator is, in general, not Gâteaux-differentiable. In addition to standing assumptions, two main hypotheses are imposed. The first one is the Gâteaux-differentiability at the considered control of the objective functional and it is precisely characterized by the vanishing of an adjoint state on the set of all zeros of the corresponding state. The second one is a structural assumption on the sets of all points at which the values of the interested state are ‘close’ to the non-differentiability point of the max-functi...

  • Authors: Trinh, Thanh; Luu, Thanh Binh; Le, Thi Trang Ha; Nguyen, Huy Duong; Tran, Van Trong; Nguyen, Thi Hai Van; Nguyen, Khanh Quoc; Nguyen Thi Lien;  Advisor: -;  Co-Author: - (2022)

    Landslide susceptibility maps (LSMs) are very crucial for planning policies in hazardous areas. However, the accuracy and reliability of LSMs depend on available data and the selection of suitable methods. This study is conducted to produce LSMs by combinations of machine learning methods and weighting techniques for Ha Giang province, Vietnam, where has limited data. In study area, we gather 11 landslide conditioning factors and establish a landslide inventory map. Computing the weights of classes (or factors) is very important to prepare data for machine learning methods to generate LSMs. We first use frequency ratio (FR) and analytic hierarchy process (AHP) techniques to generate the weights. Then, random forest (RF), support vector machine (SVM), logistic regression (LR), and AH...

  • Authors: Huu-Quang Nguyen; Dajeong, Hwang; Sejeong, Park; My-Chi Thi Nguyen;  Advisor: -;  Co-Author: - (2022)

    One-dimensional hybrid nanostructures composed of a plasmonic gold nanowire core covered by a shell of magnetic oxide nanoparticles (Au@FexOy NWs) were synthesized by a one-pot solvothermal synthesis process. The effects of reaction temperature, time, reducing agent, and precursor as well as postsynthesis treatment were optimized to produce highly uniform NWs with a diameter of 226 ± 25 nm and a plasmonic core aspect ratio of 25 to 82. By exploiting the interaction of NWs with an external magnetic field, precise arrangements into highly periodic photonic structures were achieved, which can generate distinctive structural colors that are vividly iridescent and polarization-sensitive. Furthermore, a Bouligand-type chiral nematic film consisting of multistacked unidirectional layers of...

  • Authors: Le, Kha Hoa; Bui, Gia Phi; Do, Quang Chan; Dang, Van Hieu;  Advisor: -;  Co-Author: - (2022)

    In this article, an analytical method is proposed to analyze of the linear buckling behavior of the FG porous truncated conical shells subjected to a uniform axial compressive load and resting on the Pasternak elastic foundation. The material properties including Young's modulus, shear modulus and density are assumed to vary in the thickness direction. Three types of FG porous distributions including symmetric porosity distribution, non-symmetric porosity and uniform porosity distribution are considered. The governing equations of the FG porous truncated conical shells are obtained by using the first-order shear deformation theory (FSDT). With the help of the Galerkin method, the expressions for critical buckling loads are obtained in closed forms. The reliability of the obtained re...

  • Authors: Truong, V. Vu; Binh, D. Pham; Ho, Xuan Nang; Hung, V. Vu;  Advisor: -;  Co-Author: - (2022)

    This study presents a front-tracking-based numerical analysis of the forced convection solidification of a sessile droplet on a cooling surface. The droplet, a hollow (or compound) droplet with an encapsulated gas core, undergoes a liquid-to-solid phase change in its shell. This phase change starts from the surface. Meanwhile, the surrounding gas, which is characterized by its Reynolds number Re and temperature, moves toward the droplet parallel to the axis of symmetry. When the temperature of the forced flow is below the solidification value (i.e., cold-forced convection), increasing the strength of the forced flow shortens the solidification process. In contrast, increasing the Re number of a hot-forced convection system prolongs solidification. In other words, an increase in the ...

  • Authors: Shefaly, Shoreya; Emily, Ang; Ns. Syamikar, Baridwan;  Advisor: -;  Co-Author: - (2022)

    The COVID-19 pandemic has disrupted the lives of many. Particularly, nursing students experience greater stress as their normal curriculum is interrupted and some of them face the risk of being infected as frontline workers. Nursing faculty members may face similar struggles, in addition to developing teaching materials for online learning. Thus, it is important to examine the faculty members' and students' views on their ability to adapt during the pandemic to obtain a holistic view of how learning and training has been affected

  • Authors: Chao, Xu; Thien Van, Luong; Luping, Xiang; Shinya, Sugiura;  Advisor: -;  Co-Author: - (2022)

    A variety of deep learning schemes have endeavoured to integrate deep neural networks (DNNs) into channel coded systems by jointly designing DNN and the channel coding scheme in specific channels. However, this leads to limitations concerning the choice of both the channel coding scheme and the channel paramters. We circumvent these impediments and conceive a turbo-style multi-carrier auto-encoder (MC-AE) for orthogonal frequency-division multiplexing (OFDM) systems, which is the first one that achieves the flexible integration of DNN into any given channel coded systems while achieving an iteration gain. More explicitly, first of all, we design the MC-AE independently of both the channel coding arrangement and of the channel model, where the output layer of the MC-AE decoder is des...

  • Authors: Tapanainen, Tommi;  Advisor: Dao, Trung Kien; Nguyen, Thi Thanh Hai;  Co-Author: - (2021)

    Electronic word of mouth (eWOM), enabled by social media, has been widely recognized as an influential marketing tool. It has been suggested that personality influences how people accept information originating in eWOM, but most research has not connected personalities with behavioral intention or information use. This study aimed to assess the link between eWOM and personalities on intention to choose a tourism destination. The research model was developed from the Big Five personality model and the information adoption model (IAM). An analysis of 647 participants in Vietnam confirmed that IAM can predict behavioral intention for tourism destinations, thereby adding to the literature, which so far has mainly utilized the technology adoption model. The result also shows that persona...

  • Authors: Vu, Thi Oanh; Chu, Thi Xuan; Le, Manh Tu; Nguyen, Duc Hoa;  Advisor: -;  Co-Author: - (2022)

    It is well-known that the amount of glucose in the blood that exceeds the normal sugar blood range can cause diabetes, which is one of the most dangerous diseases that thread human health. Amongst a lot of methods that have been developed to measure glucose levels, electrochemical glucose sensors have attracted more attention due to their accuracy and efficiency. In our work, a simple, instant, and economical chemical process was conducted to deposit NiO nanostructures on the surface of a nickel foam electrode for non-enzymatic glucose electrochemical sensor. The morphologies and components of synthesised materials were characterised by field emission scanning electron microscopy and energy-dispersive X-ray spectroscopy. Cyclic voltammetry and chronoamperometry were used to measure ...