Abstract Power-law distributions or more generally non-exponential distributions are ubiquitous in nature and observed in many diverse scientific disciplines, indicating a high degree of complexity and self-organization of the system under scrutiny. The entropic understanding of these distributions is one possible approach which combines Statistical Thermodynamics and Information Theory by virtue of the inference procedure […]

Abstract 3D bioprinting is a newly developed technology to fabricate artificial tissues and organs through additive manufacturing of living cells into a 3D tissue structure layer by layer. In this project, Dr. Truong and his collaborators are developing a hybrid 3D system of which one head is dedicated for printing complex scaffold structures from various […]

Abstract The widespread deployment of video surveillance systems has raised privacy awareness to the public. The main reason is that the facial attributes provide details about the identity of a subject and reveal other person-related information such as gender, race, and age. When humans are the dominant objects of interest in computer vision (CV) applications, […]

Abstract In traditional wireless communications systems, multiple complex digital signal processing blocks are designed to combat the imperfect radio frequency front-end components. However, due to Part-to-part, Voltage, and Temperature variation, an algorithm working well on one device may not work well on the others. Also, it is not efficient as each block needs to regularly […]

Abstract In the current wireless communication system, propagation environment is randomly varying and independent to both base stations and user devices. There might be a period the propagation environment experiences a deep fading and thus the quality of service for one or multiple users is unacceptable. A promising technology for the sixth-generation wireless communication is […]

Abstract This paper describes a technical approach toward the realization of a low-power temperature- ompensated micromachined resonant strain sensor. The sensor design is based on two identical and orthogonally-oriented resonators where the differential frequency is utilized to provide an output proportional to the applied strain with temperature compensation achieved to first order. Interface circuits comprising […]

Abstract Due to the increase in video streaming traffic over the Internet, more innovative methods are in demand for improving both Quality of Experience (QoE) of users and Quality of Service (QoS) of providers. In recent years, HTTP Adaptive Streaming (HAS) has received significant attention from both industry and academia based on its impacts on […]

Abstract Recent advances in deep learning for 3D point clouds have shown great promises in scene understanding tasks thanks to the introduction of convolution operators to consume 3D point clouds directly in a neural network. Point cloud data, however, could have arbitrary rotations, especially those acquired from 3D scanning. Recent works show that it is […]

Abstract Emotions are key drivers of consumption in the tourism and hospitality sector. Therefore, advancing our understanding of the determinants of consumer emotions is critical for tourism and hospitality marketers to effectively influence consumer affect-driven consumption behavior. However, research on the determinants of pre-consumption emotions remains under-explored. This study aims to fill the research gap […]

Abstract Competencies of school health staff (SHS) members, including school nurses, are crucial to improving child and adolescent health. In Vietnam, although SHS members are dispatched to schools, they have limited training opportunities. This study identified SHS members’ training needs in a province of Vietnam. A cross-sectional, online survey was conducted with 204 SHS members. […]