Hardware: PIC18F67K40 microchip, Clicker-2 PCB, Tricolour LED, TCS3471 Colour Light-to-digital convertor, 3.7V 2000mA LiPo battery, DRV833RTY differential motor drivers.

Six core functions: movement, colour-detection, lighting, memory, calibration, and a set of fail-safes.

A mixed composition of brick and steel (AISI 1010) was chosen for the rod, although this could be modified to fit any composition. The rod was long enough that the heat transfer along the longest length could be neglected, hence was modelled in two space dimensions, and time.

The location and area of the secondary material was chosen to be a small rectangle, slightly offset from the centre, however, could easily be adjusted to model different problems.

We assumed each section of the rod to have uniform density, uniform specific heat, and no internal heat generation. Overall, the model was described by a 3rd order parabolic partial derivative equation.

As a group of 4 Imperial and Cambridge students, we focused on identifying the key parameters in online articles which affect user clickrates before the article is read. More specifically, we analysed the effect of images, headline sentiment, and headline topics on user behaviour.

General Design: 3-part design constituting of a beech platform, ABS centre piece and ABS side panels. The wooden platform provides a low CG for added lateral stability has an inbuilt back plate to act as the rear wheel pivot for effortless mounting. The centrepiece has an integrated wheel slot to avoid slippage and the material choice allows for customer preference colouring. The side panels feature locking slot pins and auto-retracting tension hooks for added mounting security. Additionally, the outward tapering top maximises compatibility of varying bike frame geometries.

The stand is compatible with 95% of bikes of varying frame dimensions and wheel sizes - based off testing and analysis of bikes in London.

CPU:

AMD Ryzen 5 3600 3.6 GHz

CPU Cooler:

AMD Wraith SPIRE RGB

Motherboard:

MSI B450M MORTAR MAX Micro ATX

Case:

NZXT H510

Case Fans:

2x NZXT Aer F120mm

RAM:

Corsair Vengeance RGB Pro 16 GB

Storage:

Western Digital Blue 500 GB 2.5" SSD
Samsung 980 1 TB NVMe M.2 SSD

Wifi & Bluetooth:

Ubit Intel AX200 PCIe Card

GPU:

Gigabyte GeForce GTX 1660 SUPER 6 GB

PSU:

Corsair CX 450 W

The design features a calibrated cueing system to eye movements. This is done by the integrated iris trackers in the edges of the helmet visor. The reticle will be able to interact with:
-Onboard targeting systems such as air-to-air radar, FLIR and others to designate singular or multiple targets.
-The front panel of the aircraft, with the reticle acting as a “mouse cursor.”
-Controls on the throttle will simplify to two buttons, equivalent to left and right mouse buttons.

Navigation of options will be done through the sight-controlled reticle, and alternatively through voice commands. Similarly, the control stick will only have buttons for countermeasures, trigger and weapon release, with a multi-axis hat for trimming. These changes allow for pilots to achieve at least 80% of the aircraft’s combat and logistical functions without ever removing their hands from the throttle or control stick.

Our design involved the detection of fluorescent proteins produced by the GM bacteria culture used. A servo motor based pump system was implemented to introduce a chemical inducer into the sample to start this process.

A photodiode was used to measure the intensity of light from an LED after passing through the fluorescent sample. As the light intensity was proportional to the cell count, an Arduino code was composed to translate the voltage output of the photodiode to a meaningful cell count reading.