Abstract We investigate the local and global dynamics of two 1-Dimensional (1D) Hamiltonian lattices whose inter-particle forces are derived from nonanalytic potentials. In particular, we study the dynamics of a model governed by a “graphene-type” force law and one inspired by Hollomon’s law describing “work-hardening” effects in certain elastic materials. Our main aim is to […]
Abstract Fused deposition modelling (FDM) is one of the fastest-growing additive manufacturing methods used in printing fibre-reinforced composites (FRC). The performances of the resulting printed parts are limited compared to those by other manufacturing methods due to their inherent defects. Hence, the effort to develop treatment methods to overcome these drawbacks has accelerated during the […]
Abstract Fused deposition modelling (FDM) is one of the fastest-growing additive manufacturing methods used in printing fibre-reinforced composites (FRC). The performances of the resulting printed parts are limited compared to those by other manufacturing methods due to their inherent defects. Hence, the effort to develop treatment methods to overcome these drawbacks has accelerated during the […]
Abstract Federated Learning (FL) is a recent direction in Machine Learning. Whereas standard learning approaches require centralizing all the training data on one machine, FL enables training with decentralized data privately stored across many machines. This is important because in practice data may be too big to send to the central server or too sensitive […]
Abstract While polarized light and polarized fluorescence imaging are widely used as imaging tools in biological studies, it is still impossible to reveal the full, 3-dimensional anisotropy using available imaging techniques. To overcome this problem, the Oldenbourg lab at Marine Biological Laboratory, Woods Hole, MA, USA, first developed the Light Field LC-PolScope, which combines the […]
Abstract Virtual reality and augmented reality have been introduced to many applications such as virtual society, virtual travel, virtual classroom, virtual laboratory… with a promising high growth rate as well as wide application potential in the future. The VR technology can change drastically the way customers experience a virtual classroom or meeting where online participants […]
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 […]