Learn More
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)
a r t i c l e i n f o Keywords: Acoustic sensing Biodiversity monitoring Species richness Acoustic sampling Automated bird call analysis Ecological indices Interpreting acoustic recordings of the natural environment is an increasingly important technique for ecologists wishing to monitor terrestrial ecosystems. Technological advances make it possible to(More)
This paper discusses findings made during a study of energy use feedback in the home (eco-feedback), well after the novelty has worn off. Contributing towards four important knowledge gaps in the research, we explore eco-feedback over longer time scales, focusing on instances where the feedback was not of lasting benefit to users rather than when it was.(More)
Computer-based tutoring systems which assist students in solving introductory programming problems have significant potential for improving the quality of programming education and reducing the instructor's work load. The innovative Environment for Learning to Program (ELP) provides an interactive web-based environment for teaching programming to first year(More)
Lenient languages, such as Id Nouveau, have been proposed for programming parallel computers. These languages represent a compromise between strict and lazy languages. The operation of parallel languages is very complex; therefore a formal method for reasoning about their performance is desirable. This paper presents a non-standard denotational semantics(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)