Although, the ultimate goal of WSNs is to place powerful data collection and analysis capability in the hands of scientists, current programming environments are cumbersome often requiring someone with a PhD in computer science in order to construct a basic program. Our research group is currently developing a next generation system-on-chip (SoC) for wireless sensor network applications. Theref...

Deep belief networks hold great promise for the simulation of human cognition because they show how structured and abstract representations may emerge from probabilistic unsupervised learning. These networks build a hierarchy of progressively more complex distributed representations of the sensory data by fitting a hierarchical generative model. However, learning in deep networks typically requ...

The reporting of outputs from health surveillance systems should be done in a near real-time and interactive manner in order to provide decision makers with powerful means to identify, assess, and manage health hazards as early and efficiently as possible. While this is currently rarely the case in veterinary public health surveillance, reporting tools do exist for the visual exploration and in...

The problem of ancestral sequence reconstruction is the statistical inference of sequences that correspond to internal nodes in a phylgenetic tree [1]. Joint reconstruction is the task of seeking the most likely set of ancestral states corresponding to all the ancestral taxa, while marginal reconstruction aims at inferring the sequence in a specific internal node. In simple probabilistic models...

Modern microscopes produce vast amounts of image data, and computational methods are needed to analyze and interpret these data. Furthermore, a single image analysis project may require tens or hundreds of analysis steps starting from data import and pre-processing to segmentation and statistical analysis; and ending with visualization and reporting. To manage such large-scale image data analys...

Interest has increased recently in water recycling and reuse. The possible economic feasibility of reuse and recycling dramatically increases th}complexity of designing a optimal water delivery s stem. In this •a•c•: wc p;csc:.;., ii6,ii•;i,• ..... ud,•i -,ich takes into account both flow requirements and water quality. Because of the model's transshipment formulation the solution technique see...