Browsing by Author Duc-Tan Tran

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  • 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: Duc-Tan Tran;  Advisor: -;  Co-Author: Khai Tuan Nguyen; Quang Tao Vu; Van Dung Nguyen; Long Thanh Do (-)

    Compared to oceanic waterway transportation, inland waterway transportation has not received the deserved attention on technological support. In the development of Boat Safe, we offer a mean of inland-waterway-oriented navigation, crash detection and post-crash emergency aid through smartphone application, which can be easily accessed at any time. We also propose the use of complementary filter on compass, gyroscope data for heading estimation with miniscule uncertainties.
  • Authors: Anh, Quang Tran; Tien, Anh Nguyen; Van, Tu Duong; Quang, Huy Tran; Duc, Nghia Tran; Duc, Tan Tran;  Advisor: -;  Co-Author: - (2020)

    Compressive sampling (CS) has been commonly employed in the field of magnetic resonance imaging (MRI) to accurately reconstruct sparse and compressive signals. In a MR image, a large amount of encoded information focuses on the origin of the k-space. For the 2D Cartesian K-space MRI, under-sampling the frequency-encoding (kx) dimension does not affect to the acquisition time, thus, only the phase-encoding (ky) dimension can be exploited. In the traditional random under-sampling approach, it acquired Gaussian random measurements along the phaseencoding (ky) in the k-space. In this paper, we proposed a hybrid under-sampling approach; the number of measurements in (ky) is divided i...
  • Authors: Duc-Tan Tran;  Advisor: -;  Co-Author: Tran Quang Huy; Van Dung Nguyen (-)

    Introduction: This publication is the product of research developed within the research lines of the Smart Sensing, Signal Processing, and Applications (3SPA) research group throughout 2018, which supports the work of a doctor’s degree at VNU University of Engineering & Technology, Vietnam. Problem: The limitations of diagnostic ultrasound techniques using echo information has motivated the study of new imaging models in order to create additional quantitative ultrasound information in multi-model imaging devices. A promising solution is to use image sound contrast because it is capable of detecting changes in diseased tissue structures. Ultrasound tomography shows spee...