Xianfeng Huang

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Intensity information, recorded by laser scanning, shows great potential for research and applications (e.g., object recognition and registration of images to 3-D models). Multiple studies not only show the significance and possibility of correcting the intensity value but also highlight the existing problems, i.e., that the near-distance and(More)
During the past several years, point density covering topographic objects with airborne lidar (Light Detection And Ranging) technology has been greatly improved. This achievement provides an improved ability for reconstructing more complicated building roof structures; more specifically, those comprising various model primitives horizontally and/or(More)
Rapid tranit systems are the most important public transportation service modes in many large cities around the world. Hence, its service reliability is of high importance for government and transit agencies. Despite taking all the necessary precautions, disruptions cannot be entirely prevented but what transit agencies can do is to prepare to respond to(More)
Understanding of the mechanisms driving our daily face-to-face encounters is still limited; the field lacks large-scale datasets describing both individual behaviors and their collective interactions. However, here, with the help of travel smart card data, we uncover such encounter mechanisms and structures by constructing a time-resolved in-vehicle social(More)
Astragaloside IV is the chief ingredient of Radix Astragali, which has been used in the Traditional Chinese Medicine as a major component of many polyherbal formulations for the repair and regeneration of injured organ and tissues. We tested the anti-asthmatic effects of AST IV and the possible mechanisms. BALB/c mice that were sensitized and challenged to(More)
Identifying the spatial structure generated by urban movements contributes to a better understanding of urban dynamics and is crucial to urban planning applications. Despite a number of studies concerning functional urban space, related research is still in a development phase, especially using emerging urban movement data. This study proposes a centrality(More)
This work addresses the problem of distinguishing between ripe and unripe watermelons using mobile devices. Through analysing ripeness-related features extracted by thumping watermelons, collecting acoustic signals by microphones on mobile devices, our method can automatically identify the ripeness of watermelons. This is possible in real time, making use(More)
Acute lung injury (ALI) represents a clinical syndrome that results from complex responses of the lung to a multitude of direct and indirect insults. This study aims to evaluate the possible mechanisms responsible for the anti-inflammatory effects of eugenol (EUL) on lipopolysaccharide (LPS)-induced inflammatory reaction in ALI. ALI was induced in mice by(More)
Resveratrol, a well-known natural product and a major component in grape, has attracted considerable attention as one of the most promising cancer during the past decade. Many studies have established that resveratrol can exert a broad range of biological activities including ceramide-mediated proapoptotic, antineoplastic, apoptosis-inducing, etc. Most(More)