Improved techniques for automatic image segmentation

2001-2002 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Photocatalytic conversion of NO using TiO?-NH?catalysts in ambient air environment

Author name used in this publication: F. B. LiAuthor name used in this publication: X. Z. LiAuthor name used in this publication: C. H. AoAuthor name used in this publication: S. C. Lee2004-2005 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishe

Enhanced photocatalytic degradation of VOCs using Ln??-TiO?catalysts for indoor air purification

Author name used in this publication: F. B. LiAuthor name used in this publication: X. Z. LiAuthor name used in this publication: C. H. AoAuthor name used in this publication: S. C. Lee2004-2005 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishe

Multi-Layer Cyber-Physical Security and Resilience for Smart Grid

The smart grid is a large-scale complex system that integrates communication technologies with the physical layer operation of the energy systems. Security and resilience mechanisms by design are important to provide guarantee operations for the system. This chapter provides a layered perspective of the smart grid security and discusses game and decision theory as a tool to model the interactions among system components and the interaction between attackers and the system. We discuss game-theoretic applications and challenges in the design of cross-layer robust and resilient controller, secure network routing protocol at the data communication and networking layers, and the challenges of the information security at the management layer of the grid. The chapter will discuss the future directions of using game-theoretic tools in addressing multi-layer security issues in the smart grid.Comment: 16 page

Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation

Unsupervised domain adaptation has caught appealing attentions as it facilitates the unlabeled target learning by borrowing existing well-established source domain knowledge. Recent practice on domain adaptation manages to extract effective features by incorporating the pseudo labels for the target domain to better solve cross-domain distribution divergences. However, existing approaches separate target label optimization and domain-invariant feature learning as different steps. To address that issue, we develop a novel Graph Adaptive Knowledge Transfer (GAKT) model to jointly optimize target labels and domain-free features in a unified framework. Specifically, semi-supervised knowledge adaptation and label propagation on target data are coupled to benefit each other, and hence the marginal and conditional disparities across different domains will be better alleviated. Experimental evaluation on two cross-domain visual datasets demonstrates the effectiveness of our designed approach on facilitating the unlabeled target task learning, compared to the state-of-the-art domain adaptation approaches

Robot-assisted radical prostatectomy in Hong Kong: a review of 235 cases

published_or_final_versio

Are B to PI K CP-asymmetries quantized ?

Search for patterns in the numerous B-decay modes now available is necessary in order to test the Cabibbo-Kobayashi-Maskawa theory of CP-violation. In particular, the well-structured pattern of B to PI K branching ratios may lead to a quantized spectrum for direct CP-asymmetries, providing in this way a rather unique opportunity to discriminate between strong final state interaction models.Comment: Latex, 12 pages, 3 ps figures. Few comments added, final version to appear in Eur.Phys.J.

Extracts of Feijoa Inhibit Toll-Like Receptor 2 Signaling and Activate Autophagy Implicating a Role in Dietary Control of IBD

Inflammatory bowel disease (IBD) is a heterogeneous chronic inflammatory disease affecting the gut with limited treatment success for its sufferers. This suggests the need for better understanding of the different subtypes of the disease as well as nutritional interventions to compliment current treatments. In this study we assess the ability of a hydrophilic feijoa fraction (F3) to modulate autophagy a process known to regulate inflammation, via TLR2 using IBD cell lines