Conventional wheelchairs do not cope well in less-resourced rural areas as they are not stable and can topple easily. This chapter seeks to develop a wheelchair design that offers optimum stability and comfort for people in rural areas where there is rough and uneven terrain environment. The design development process entailed the generation of three possible wheelchair design concepts. Wide rear wheel design was further developed to come up with a detailed design with a maximum tipping angle of 43.17 degrees. This could be considered to be a great improvement compared to the conventional wheelchair configuration. The design was made to function using a ratchet lever bar to push the rear wheels forward to initiate motion. It was established that fabrication of the prototype could be done easily at a lower cost cap of USD200 using locally available materials. The proposed wheelchair design would improve the mobility and consequent living conditions of those disabled individuals living in rough terrain rural set up environments.

Process and chemical companies have to continually monitor and control their mixing equipment to ensure that production matches requirements and meets recommended standards especially in food processing. The oil company in this research faced challenges in meeting required specifications in some of their batches, prompting the need to look at more efficient ways to control and monitor the master churn mixer. This paper looks at how intelligent fuzzy logic was used to automate the production planning and control of the master churn mixer of the margarine plant. MATLAB 7.12 was used in developing the control algorithm that enabled all the inputs to be monitored closely before they entered the master churn, while maintaining vegetable oil at 80%, water at 20% and operating temperature at 38 o C. This was enabled by sensors and programmable logic controllers which monitored all parameters using fuzzy logic to produce margarine of acceptable quality and standards.