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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].
Economic development theorists ((Schumpter 1942), (Romer, 1994), (Solow, 1956)) have established the theoretical constructs of scientific and technological developments as foundations to innovative solutions in the form of products, processes and services to long-term socio-economic development and prosperity to high-end economies around the world. It is through the pervasiveness of these innovations within markets which then spurs a sustainable social transformation and long term economic growth within nations.
Numerous organic chemicals, either directly manufactured or formed as byproducts of other processes, are released into the environment. Once there, many cause adverse effects on environmental and human systems. Of particular concern are long-lasting impacts from those organic pollutants that remain in the environment for long periods of time. The development of appropriate management strategies to address this problem requires knowledge of the environmental distributions of these pollutants.
Vector-borne diseases have since the 17th century been the leading cause of death by disease more than any other causes combined, even preventing development in the tropics (Gubler 1998). Of all insect vectors, Aedes aegypti proves to be the deadliest as it is the primary vector of the four most notorious vector-borne diseases – chikungunya (chik-V), Zika (Zik-V), dengue fever and yellow fever viruses. Control of the spread of Aedesborne diseases is primarily reliant on the control of the vector responsible for their spread. Traditionally, vector control relied on environmental hygiene and the elimination of breeding sites (Gubler 1998), shifting only in the 1980s to the use of synthetic chemicals in the form of carbamate, organochloride, organophosphate and pyrethroid insecticides (Norris, et al. 2015). However, the evolution of Aedes aegypti resistance to synthetic chemicals have made control of the spread of the vector and its diseases increasingly difficult. This led to the exploration of innovative and alternative methods in the control of Aedes aegypti.
Lead, a well-known neurotoxin, remains environmentally abundant, arising from many natural and synthetic processes which encourage its environmental accumulation and hence, increased interactions with flora and fauna. Therefore, tremendous research efforts have been invested into developing various methods for its analysis and sequestration, however, affordability, sensitivity and selectivity still remain formidable challenges in this area and hence here is room for further exploration.
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].
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