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Results 281-290 of 698 (Search time: 0.001 seconds).
  • Authors: Quang-Dung Le; Huu-Phan Nguyen; Tien-Long Banh; Duong-Vu; Thi-Bich Ma;  Advisor: -;  Co-Author: - (2022)

    The process parameters of such process should be optimized to improve the quality measures. In the present study, Taguchi- DEAR based multi criteria decision making has been proposed to obtain optimal combination process parameters on machining die steel in PMEDM process. From the experimental investigations, the optimal process parameters combination has been found was found as SKD11 (workpiece), Gr (Electrode), positive (polarity) and 20 µs (pulse on time), 8A (current), 57 µs (pulse off time) and 20 g/l (Powder concentration) among the chosen parameters in the machining process.

  • Authors: Duong, Hong-Quan;  Advisor: Than, Van Thai; Nguyen, Huyen-Trang; Nguyen, Phuong-Thoa; Ha Thi, Huyen Trang; Bui, Thi Ngoc Ha; Dang, Vu Phuong Linh; Dinh, Thi-Thanh; You, Kyu Sic; Dang, The-Hung; Seong, Yeon-Sun;  Co-Author: - (2021)

    Anaplastic lymphoma kinase (ALK) is known to be an important therapeutic target in various types of cancer. NVP‑TAE684, a well‑known inhibitor of ALK, was revealed to exert antitumor effects in several different malignancies. However, the molecular mechanisms responsible for these antitumor effects in cancer cells, including pancreatic adenocarcinoma cells, remain unknown. In the present study, NVP‑TAE684 was investigated for its antitumor effects towards pancreatic adenocarcinoma cells. MTT assay, western blot analysis, flow cytometry, caspase‑3/7 activity assay and Trypan blue exclusion assay were used and it was revealed that NVP‑TAE684 suppressed the proliferation of seven human pancreatic adenocarcinoma cell lines (AsPC‑1, Panc‑1, MIA PaCa‑2, Capan‑1, CFPAC‑1, Colo‑357 and BxPC...

  • Authors: Nguyen, Thi Thanh Van; Nguyen, Cong Luong; Feng, Shaohan;  Advisor: -;  Co-Author: - (2022)

    In this paper, we address dynamic network selection problems of mobile users in an Intelligent Reflecting Surface (IRS)-enabled wireless network. In particular, the users dynamically select different Service Providers (SPs) and network services over time. The network services are composed of adjustable resources of IRS and transmit power. To formulate the SP and network service selection, we adopt an evolutionary game in which the users are able to adapt their network selections depending on the utilities that they achieve. For this, the replicator dynamics is used to model the service selection adaptation of the users. To allow the users to take their past service experiences into account their decisions, we further adopt an enhanced version of the evolutionary game, namely fractio...

  • Authors: V, H.Nhu; N, Q.Tuan; N, B.Giang; N,T.T.Huong;  Advisor: -;  Co-Author: - (2022)

    This paper is concerned with the existence and regularity of minimizers to an optimal control problem governed by semilinear elliptic equations, in which mixed pointwise control-state constraints are considered in a quite general form and the controls act simultaneously in the domain and on the boundary. The - and -type regularization is considered for both distributed and boundary controls. Under standing assumptions, the minimizers and the corresponding multipliers do exist. Furthermore, by applying the bootstrapping technique and using some calculation tools for functions in Sobolev spaces of fractional order, the optimal solutions are shown to be Lipschitz continuous when the -type regularization is applied and they are proven to be Hölder continuous with the exponent if only -...

  • Authors: Van, Toan Nguyen; Duy, Khoe Dinh; Young, SunMok;  Advisor: -;  Co-Author: - (2022)

    This paper reports on the ethyl acetate (EA) removal over a honeycomb catalyst using an experimental design methodology. A mathematical model based on the response surface methodology is developed to evaluate the effect of parameters such as specific input energy (SIE), humidity, and EA concentration on the response variables (i.e., removal and energy efficiency). A set of experiments based on a statistical three-level full-factorial design of the experimental method were performed to collect the removal data

  • Authors: Mantello, Peter; Ho, Manh Tung; Nguyen, Minh Hoang; Vuong, Quan Hoang;  Advisor: -;  Co-Author: - (2021)

    Biometric technologies are becoming more pervasive in the workplace, augmenting managerial processes such as hiring, monitoring and terminating employees. Until recently, these devices consisted mainly of GPS tools that track location, software that scrutinizes browser activity and keyboard strokes, and heat/motion sensors that monitor workstation presence. Today, however, a new generation of biometric devices has emerged that can sense, read, monitor and evaluate the affective state of a worker.

  • Authors: Vinh T. Nguyen; Truong V. Vu; Phan H. Nguyen;  Advisor: -;  Co-Author: - (2022)

    The present paper focuses on the motion due to the thermocapillary force of a droplet in a circular tube through the front-tracking-based simulation. The tube profile in the axial direction is generated with a sinusoidal function that induces a constriction with depth d at the middle. The droplet is slowed down as it migrates from the cold region (ahead of the constriction) to the hot region in the downstream. Various parameters including the Marangoni number Ma, the capillary number Ca and the depth of the constriction d are varied to better understand the thermocapillary motion of the droplet under the influence of the constriction. The simulation results show that when the Ma number increases, the influence factor of the constriction increases and the migration velocity of the dr...

  • Authors: Luong, Thien Van;  Advisor: Ko, Youngwook; Matthaiou, Michail; Ngo, Anh Vien; Le, Minh-Tuan; Ngo, Vu-Duc;  Co-Author: - (2021)

    This paper proposes a deep learning (DL)-aided multicarrier (MC) system operating on fading channels, where both modulation and demodulation blocks are modeled by deep neural networks (DNNs), regarded as the encoder and decoder of an autoencoder (AE) architecture, respectively. Unlike existing AE-based systems, which incorporate domain knowledge of a channel equalizer to suppress the effects of wireless channels, the proposed scheme, termed as MC-AE, directly feeds the decoder with the channel state information and received signal, which are then processed in a fully data-driven manner. This new approach enables MC-AE to jointly learn the encoder and decoder to optimize the diversity and coding gains over fading channels. In particular, the block error rate of MC-AE is analyzed to s...

  • Authors: Tran, Quang Huy; Khai, Tuan Nguyen; Phuc, Thinh Doan; Duc,Tan Tran;  Advisor: -;  Co-Author: - (2022)

    In ultrasound tomography (UT), Born iterative method (BIM) and distorted-Born iterative method (DBIM) based on Born approximation are considered efficacious. DBIM offers faster convergence compared to BIM; however, it is more susceptible to noise and vice versa. Combined or multi-model imaging is an indispensable trend of modern imaging to detect and accurately assess tissue states. The proposed method exploits the advantages, limiting the disadvantages and increasing the imaging speed of the merging of BIM and DBIM

  • Authors: Thi Thu Huong, Tran; Tuan Anh, Nguyen; Thang Binh, Hoang; Duc Ngoc, Nguyen; Ngoc Duyen, Dang;  Advisor: -;  Co-Author: - (2022)

    The Automobiles are vehicles widely used to transport passengers and goods around the world. When traveling on the road, many factors affect the oscillation of the automobile. In particular, the stimuli from the road surface are the direct causes of its instability. The automobile’s suspension system has the role of regulating and extinguishing these oscillations quickly. To improve the efficiency, stability, and comfort of the vehicle, the active suspension system is proposed. This study establishes the quarter dynamics model to describe the vehicle’s oscillation