Jinglan Zhang

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In this paper, we investigated the performance of bird species recognition using neural networks with different preprocessing methods and different sets of features. Context neural network architecture was designed to embed the dynamic nature of bird songs into inputs. We devised a noise reduction algorithm and effectively applied it to enhance bird species(More)
Carbon monoxide (CO), a product of heme oxygenase activity, exerts antiapoptotic and anti-inflammatory effects in vitro and in vivo. The anti-inflammatory effects of CO involve the inhibition of TNF-alpha expression and the enhancement of IL-10 production, resulting in reduced mortality after endotoxin challenge. In this study we demonstrate for the first(More)
Spatial information captured from optical remote sensors on board unmanned aerial vehicles (UAVs) has great potential in the automatic surveillance of electrical power infrastructure. For an automatic vision based power line inspection system, detecting power lines from cluttered background an important and challenging task. In this paper, we propose a(More)
Current research on shape based classification has been generally aimed at utilising various visual features. Previous research has shown that the existing knowledge in a specific domain can assist in understanding the image content. Ontologies are currently being used for explicit representation of the domain knowledge. In this paper, two contributions are(More)
Acoustic classification of anurans (frogs) has received increasing attention for its promising application in biological and environment studies. In this study, a novel feature extraction method for frog call classification is presented based on the analysis of spectrograms. The frog calls are first automatically segmented into syllables. Then, spectral(More)
The development of acute lung injury (ALI) during sepsis almost doubles the mortality rate of patients. The efficacy of current treatment strategies is low as treatment is usually initiated following the onset of symptoms. Inflammation is one of the main mechanisms of autoimmune disorders and is a common feature of sepsis. The suppression of inflammation is(More)
Spatial information captured from optical remote sensors on board unmanned aerial vehicles (UAVs) has great potential in automatic surveillance of electrical infrastructure. For an automatic vision-based power line inspection system, detecting power lines from a cluttered background is one of the most important and challenging tasks. In this paper, a novel(More)
The need for large scale environmental monitoring to manage environmental change is well established. Ecologists have long used acoustics as a means of monitoring the environment in their field work, and so the value of an acoustic environmental observatory is evident. However, the volume of data generated by such an observatory would quickly overwhelm even(More)