Projects

Light is electromagnetic energy that travels as waves, with human receptors sensitive to wavelengths between 400 and 700 nm, corresponding to distinct colors (e.g., 420 nm is blue, 525 nm is green, 635 nm is red).

This experiment aims to create an electronic light intensity measuring instrument using LEDs to indicate light presence or absence. Applications include automatic streetlight control, providing assistance for those with a phobia of darkness. The circuit, powered by an analog discovery or battery, is low-energy due to its minimal components. It utilizes the uA741CP operational amplifier as a voltage comparator, with an LDR (Light Dependent Resistor) as the main light-sensing element.

Energy is vital today, highlighting the need for alternatives like nuclear power, which provides low-carbon, high-energy generation (Gyamfi, 2020). Although Ghana has considered nuclear energy since 1960, it lacks operational plants despite nearby uranium reserves in Niger. This paper examines the feasibility of uranium nuclear energy in Ghana, explores policies to promote its use, and discusses nuclear power's role in energy mixes while addressing challenges like radiation risks. Primarily generated through fission, nuclear energy involves uranium-235 splitting to release heat, which can be converted into electricity, ensuring reliable power.

This research investigates smoke precipitator designs for absorbing soot from vehicle emissions. Two experiments compared a mesh-mesh combination to a mesh-foil setup, measuring mass changes to assess soot collection. Both configurations showed normality (p = 0.3254 for mesh-mesh; p = 0.314 for mesh-foil). The mesh-mesh combination achieved about 33% soot absorption, while the mesh-foil reached 31%, indicating greater effectiveness for mesh-mesh. As climate change worsens from vehicle emissions, this study highlights the need for effective soot removal technologies, particularly in developing nations with older vehicles.

This project explores the q-gradient method, an extension of the classical gradient vector using Jackson's derivative, for unconstrained global optimization. The q-gradient serves as a search direction by applying the negative of the q gradient to generalize the steepest descent method, helping to escape local minima. The approach employs strategies to adjust the parameter q and compute step lengths, transitioning from a global to a more local search. We tested this method against Genetic Algorithms (GAs), known for their effectiveness in optimizing both unimodal and multimodal functions.

Our design thinking process, led by Trash Assassins Ghana, tackled improper waste disposal. We began with SWOT and PEST analyses to identify key issues and stakeholders. Using a fishbone diagram, we mapped root causes, then refined our focus. Ethnographic research included phone interviews and proxy users to ensure participant comfort. We categorized findings and developed a comprehensive perspective of a 55-year-old single mother affected by waste in her market. Finally, we generated and filtered creative solutions before testing them with users.

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