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The design gives a new way to collect the data of environment instead of the traditional way using wires or manually.
Obtaining accurate perception data of environment is one of the key challenges in CPS-WSN applications.
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It has tons of data on environment and imagery.
Figure 11 Daily global horizontal irradiance vs. cloud opacity at 12PM, year 2000 to 2004, data courtesy of Environment Canada.
Figure 1 Annual average daily global horizontal irradiance from year 1955 to 2004, London International Airport, in W/m 2, data courtesy of Environment Canada CWEEDS.
The time series plots for those hours are shown in Figure2. Figure 2 Annual maximum daily global horizontal irradiance at 11am, 12pm, 1pm and 2pm respectively, in W/m 2, 1955 - 2004, London International Airport, data courtesy of Environment Canada.
Initially, the structure of the Bayesian network is learned from the complete data of the environment using the K2 algorithm combined with a genetic algorithm (GA).
Computers equipped with highly sophisticated electronics are capable of transforming the analog data of the environment to digits which can be processed.
The temperature, humidity, and light data of the environment are collected every 30 s by the nodes.
In contrast, photogrammetry is a technology that utilizes cameras or camcorders to collect spatial data of the environment in the form of point clouds or wireframe representations.
Siting a series of cameras on a ball to capture comprehensive visual data of an environment is of course what Google does with its Street View cars (and its people-mounted Trekker cameras), so the concept of arranging camera lenses on a sphere is not new in itself.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com