This project walks students through computing the perimeter and area of the Koch Snowflake as an application of geometric series. Students then create their own fractal and perform similar computations.
In this work, we attempt to solve the Hit Song Science problem, which aims to predict which songs will become chart-topping hits. We constructed a dataset with approximately 1.8 million hit and non-hit songs and extracted their audio features using the Spotify Web API. We test four models on our dataset. Our best model was random forest, which was able to predict Billboard song success with 88% accuracy.
Seoul Semiconductor’s patented nPola
technology increases brightness levels 5 times
over existing LEDs. This technology took more
than 10 years to develop and is set to
revolutionise the LED lighting industry. nPola
stands for Numerous polarities and is related to
the substrate in which the LED is grown. nPola is
grown on a GaN (Gallium nitride) substrate,
whereas conventional LEDs use Sapphire or
Silicone substrate in which most of the energy is
converted to heat instead of light due to a defect
caused by lattice mismatch. nPola, however, does
not have the lattice mismatch issue like
conventional LEDs because the GaN epitaxy has
the same crystalline structure as the GaN growth
substrate. Furthermore, nPola technology
involves the utilization of the one of the nPola
non-polar planes in the GaN crystal, either the
a-plane or m-plane, whereas traditional LEDs
currently utilize the polar c-plane GaN epitaxy on
Sapphire or Silicon. nPola LEDs offer reduced
electrical resistance, increased electrical
efficiency, reduction in colour shift with varying
operating current and smaller device size.
With nPola, Seoul Semiconductor has already
improved the lumen density of LEDs by 5 times
over the conventional LEDs based on equivalent
die surface area and it expects to further improve
this margin to 10 times in future.