Self and regulated governance simulation: Exploring governance for blockchain technology

Blockchain technology and blockchain applications sit at the cross-road of data science and Internet of Things applications where getting the governance right for this new technological paradigm is of core concern for leaders aspiring to realize smart city and living initiatives. In this research, we deploy computational simulation of self and regulated governance and extend the findings to the new blockchain technology ecosystems. We propose that getting the governance approach right is as important as getting the technological platform issues resolved

Bio-inspired all-optical artificial neuromast for 2D flow sensing

We present the design, fabrication and testing of a novel all-optical 2D flow velocity sensor, inspired by a fish lateral line neuromast. This artificial neuromast consists of optical fibres inscribed with Bragg gratings supporting a fluid force recipient sphere. Its dynamic response is modelled based on the Stokes solution for unsteady flow around a sphere and found to agree with experimental results. Tuneable mechanical resonance is predicted, allowing a deconvolution scheme to accurately retrieve fluid flow speed and direction from sensor readings. The optical artificial neuromast achieves a low frequency threshold flow sensing of 5 mm s(-1) and 5 mu m s(-1) at resonance, with a typical linear dynamic range of 38 dB at 100 Hz sampling. Furthermore, the optical artificial neuromast is shown to determine flow direction within a few degrees