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At the inception of automated solar tracking in the 1970’s, geometric architectures with pair(/s) of solid-state photo-sensitive devices were constructed and used to detect the sun’s position. As an alternative in recent years, cameras have been used to capture and process live sky images to detect the sun’s position. When the sky is cloudy however, both approaches are prone to errors and sometimes require human intervention which tend to reduce the trackers’ economic viability [1].
In parallel and distributed computing environments, task scheduling, where the basic idea is minimizing time loss and maximizing performance, is an absolutely critical component. Scheduling in these environments is NP-hard, so it is important that we continue to search and find the most efficient and effective ways of mapping tasks to processors. One such effective approach is known as Ant Colony Optimization (ACO). This popular optimization technique is inspired by the foraging behavior of ants in their colonies to find the shortest paths between their nests and food sources.
Invasive alien species (IAS) are implicated in the extinction or decline of numerous native aquatic species worldwide. Their negative impacts occur through mechanisms including habitat alteration, competition, predation, hybridisation, and the spread of disease (Strayer et al. 2006). Small island ecosystems are most susceptible to the impacts of IAS. Once established, freshwater IAS are difficult to eradicate without negatively impacting native species.
The burgeoning of small gourmet chocolate boutiques worldwide serves as a key driver for niche and ultra-niche marketing of cocoa (Theobroma cacao L.), branded as (a) geographical indication (b) estate origin or (c) based on unique genetics. Over 90% of the cacao farms globally, are small with an average size between 2 and 5 hectares and can benefit from supplying to the gourmet boutiques.
Science and technology and its application to regional development
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