Generic typology for irrigation systems operation

Irrigation management / Irrigation systems / Water use efficiency / Canals / Operations / Typology / Water delivery / Water distribution / Water conveyance / Water storage / Irrigation effects / Environmental effects / Gravity flow / Hydraulics / Constraints / Water supply / Networks / Case studies / Sri Lanka

Proceedings of the National Conference on Water, Food Security and Climate Change in Sri Lanka, BMICH, Colombo, Sri Lanka, 9-11 June 2009. Vol. 1. Irrigation for food security

Food security / Climate change / River basins / Water shortage / Irrigated farming / Water quality / Tanks / Aquatic plants / Rice / Food insecurity / Water resource management / Zero tillage / Weed control / Agroforestry / Canals / Surface runoff / Remote sensing / Sri Lanka

Cloud motion tracking for short-term on-site cloud coverage prediction

A technique for cloud motion tracking and cloud motion prediction using ground-based sky images is presented. This cloud motion prediction technique primarily targets irradiance prediction as an application in Electrical Engineering. A sequence of whole sky images is processed to determine the time taken by clouds to reach the sun position on the image. Cross-correlation technique was used to track individual clouds from one image frame to next frame. Using Harris features detection algorithm cloud features were found and the deformation vectors were produced. To find the velocity vectors of each feature points Lukas-Kanade optical flow algorithm is proposed. Using the optical flow algorithm, 3 min ahead cloud position was estimated

Dynamic Sparse Sampling for Confocal Raman Microscopy

The total number of data points required for image generation in Raman microscopy was greatly reduced using sparse sampling strategies, in which the preceding set of measurements informed the next most information-rich sampling location. Using this approach, chemical images of pharmaceutical materials were obtained with >99% accuracy from 15.8% sampling, representing an ∼6-fold reduction in measurement time relative to full field of view rastering with comparable image quality. This supervised learning approach to dynamic sampling (SLADS) has the distinct advantage of being directly compatible with standard confocal Raman instrumentation. Furthermore, SLADS is not limited to Raman imaging, potentially providing time-savings in image reconstruction whenever the single-pixel measurement time is the limiting factor in image generation