Department of Informatics and Computer Engineering
http://hdl.handle.net/20.500.12283/347
2024-03-29T12:54:35ZAn automatic water softening pumping system for softening water in hard water regions
http://hdl.handle.net/20.500.12283/4181
An automatic water softening pumping system for softening water in hard water regions
Bumba, Allan Enock Talwana
The Automated Water Softening Pumping System is an innovative solution designed to address the challenges of water treatment from hard water sources. It combines automation, precise chemical dosing, and continuous water softening while minimizing resource wastage and manual intervention. The system comprises submersible pumps, ultrasonic sensors, microcontrollers (Arduino), and chemical dosing mechanisms. It operates through a sequential process, automating the water treatment journey from sourcing water to distributing softened water. The integration of smart technologies ensures accurate dosing of sodium carbonate solution and optimized water level management. Through its continuous operation, adaptability, and resource efficiency, the system aims to enhance water quality, reduce chemical consumption, and promote environmental sustainability. The Automated Water Softening Pumping System demonstrates the potential to modernize water treatment processes, offering a dynamic approach to achieving consistent, high quality water treatment outcomes.
Dissertation
2023-01-01T00:00:00ZAn audio-enabled smart wheelchair
http://hdl.handle.net/20.500.12283/4177
An audio-enabled smart wheelchair
Ssemambo, Christopher
Wheelchairs are crucial for people with physical disabilities, but traditional manual handling can be challenging or impossible for those without hands or with age-related limitations. To address this, a voice-controlled wheelchair has been developed using Arduino and a voice recognition module. This system identifies spoken commands and matches them with actions predefined for the chair’s motion. By converting voice commands into digital signals, the wheelchair responds accordingly. Through simple voice prompts, the wheelchair can navigate various directions effectively, enhancing mobility and comfort. This innovation empowers people who struggle with manually hand-controlling the wheelchair. However, current commands have been programmed in English. Future works should focus on customizing this innovation to respond to local languages such as Luganda, Swahili, and Luo, among others.
Dissertation
2023-01-01T00:00:00ZStudent verification and seat allocation system
http://hdl.handle.net/20.500.12283/4172
Student verification and seat allocation system
Muwanguzi, Joshua
Examinations are used to objectively evaluate and assess students’ learning outcomes, ability to demonstrate knowledge, understanding and potential for other employment skills development.
Examinations assess the candidates’ achievement level and even places them in their career paths. Impersonation is a form of malpractice, an illegal practice that derails the purpose of examinations. This makes inequality and unfair chances between the eligible students and the culprits.
The Student verification and seat allocation system includes the two step verification process where a student is verified before entering the examination room. This was archived by a process where a student presents his /her ID (RFID card) tagged with the student’s tag and swipes the card on the reader. The Liquid Crystal Display (LCD) shows the student a prompt text to input the fingerprint to proceed. The student is assigned a seat number randomly after the fingerprint is verified.
Therefore, this project was to develop and implement a comprehensive solution that effectively addresses and mitigates the issue of impersonation, ensuring a secure and cheat-free environment during examinations. This further described in chapter one with its significances to the institutions and students body. The scope of this project targeted the institutions of high learning that is universities specifically for examination period. The methodology is well discussed in chapter three and the implementation in chapter four. The time frame was six months which involved challenges during development as described in chapter six.
Dissertation
2023-01-01T00:00:00ZNPK soil fertility measurement system and crop recommendation based on machine learning
http://hdl.handle.net/20.500.12283/4167
NPK soil fertility measurement system and crop recommendation based on machine learning
Okwii, Simon
The efficient management of soil fertility and optimized crop selection are crucial factors in modern agriculture, impacting both agricultural yield and environmental sustainability. This project introduces an NPK Soil Fertility Measurement System integrated with a Crop Recommendation System utilizing Machine Learning techniques. The NPK Soil Fertility Measurement System employs advanced sensor technologies to accurately assess the levels of essential nutrients - Nitrogen (N), Phosphorus (P), and Potassium (K) - in the soil. the system aims to provide real-time and accurate information about the soil's nutrient content, enabling farmers to make informed decisions regarding soil treatment and nutrient supplementation.
Building upon the soil fertility data collected, the Crop Recommendation System employs state-of-the-art Machine Learning algorithms. These algorithms analyze historical crop performance data, along with the current soil nutrient composition, climate conditions, and other relevant factors, to generate tailored crop recommendations for specific plots of land.
This approach helps maximize agricultural productivity while minimizing resource waste and environmental impacts.
Dissertation
2023-01-01T00:00:00Z