4,492 research outputs found
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
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