http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/44 Mechatronics Engineering 2026-05-02T21:08:17Z http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/29323 Title: Development of an Intelligent Road Anomaly Detection System for Autonomous Vehicles Authors: Udah, Paul; Suleiman, Ayomide; Bala, Jibril; Sadiq, Ahmad; Folorunso, Taliha; Eichie, Julia; Adedigba, Adeyinka; Aibinu, Abiodun Abstract: Globally, road transportation has become one of the most reliable means of moving goods and services from one place to the other. It has contributed immensely to the standard of living and modern civilization. However, this means of transportation is characterised by some issues which are poised to be harmful to the human population if not properly addressed. One of such issues is the presence of potholes, bumps, and other road anomalies. Unfortunately, the late identification of road anomalies (Speedbumps and Potholes) and the inability of drivers to detect and slow down while approaching such road anomalies has also been a big challenge faced by many nations. Therefore, there is a need for an automatic and intelligent approaches to be built into vehicles to mitigate the number of road accidents caused by these anomalies. In this work, the development of an intelligent road anomaly identification and manoeuvring system for autonomous vehicle is presented. The developed system focuses on the detection of road anomalies specifically speedbumps and potholes; and the regulation of the vehicular speed when these anomalies are detected. A modified Histogram Oriented Gradient (HOG) and Fuzzy Logic Control (FLC) have been proposed in this work. Furthermore, promising results have been obtained and presented which depicts the proposed HOG algorithm outweigh other techniques in the identification and detection of speedbumps and potholes. In addition, the developed FLC was able to regulate the speed of the vehicle in the presence of speedbumps as well as navigate the vehicle accordingly in the presence of potholes 2023-03-11T00:00:00Z http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/29322 Title: Internet of Things Based Surveillance and Feeding System for Aquaculture Applications Authors: Folorunso, Taliha; Bala, Jibril; Adedigba, Adeyinka; Olatunji, Babatunde; Mingyi, Caroline Abstract: In both developed and developing countries, the agricultural sector is playing a significant role in driving economic growth. In Nigeria, there has been an increased push to diversify the economy through agriculture, and aquaculture has been identified as a key sector to aid in this effort. However, the sector faces various challenges, such as poor water quality, feeding-related issues, pest control, disease, and predator control, resulting in reduced output and lower incomes. Previous research has aimed to provide solutions to these challenges, but some works only focus on monitoring water quality, disease, or surveillance against predators or theft, without considering feeding rates. Therefore, a monitoring and surveillance system is required to minimize death rates caused by hunger and increase productivity. This work presents the use of IoT to enable real-time monitoring in aquaculture. The system successfully initiated and terminated the feeding process in the pond within a 3-second timeframe and provided a live feed of the pond's activities to the farm remotely and in real-time. The system achieved a performance of 90% and 88.8% for accuracy and precision, respectively. 2022-12-13T00:00:00Z http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/29321 Title: Performance Comparison of Blood Glucose Controllers for Diabetic Patients Authors: Adedigba, Adeyinka; Zubair, Abdulrazak Abstract: Diabetes remains a significant health problem that demands serious attention and costly to maintain in the western world and developing countries adopting western lifestyles and diets. Since the development of insulin in the 1920s, there have been myriad problems in developing suitable technology for optimal administration of correct dosage to maintain normoglycaemic state in both type 1 and type 2 diabetic patients. A promising direction is the development of artificial pancreas (AP), a control engineering approach that mimics the pharmacokinetic counterbalancing action of the pancreas in producing optimal insulin and glucagon for blood glucose regulation. However, the optimal controller design to properly handle postprandial disturbances has been a significant challenge in AP design. Although there is a plethora of controller design techniques in the literature, there is no generally agreed benchmark criteria for comparing these controllers. Therefore, in this paper, an experimental testbed where the popular control algorithms can be compared and their response can be studied is proposed. This was done by simulating a virtual patient using a well-designed mathematical model. Using the testbed, the performance of three controllers was studied and rich insight was gleaned from these controllers' behaviour on how they handled the postprandial disturbances. 2022-04-13T00:00:00Z http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/28162 Title: Smart Pipeline Monitoring System: A Review Authors: Mahaman, Djamilou Yahaya Moussa; Abiodun, Musa Aibinu; Abdusshakur, Abdurrahman; Shobowale, Kafayat Oluwatoyin; Anunuso, Justice Chikezie Abstract: In Africa’s most populous nation, Nigeria, Pipelines are the primary way of transporting liquid and gas. Oil and fuel pipeline networks have proven to be the most secure and competitively priced way of transporting petroleum products while meeting increased demand for efficiency and durability. As a consequence of the negative impact of unreliable pipeline systems on society, the demand for a credible pipeline system is increasing by the day. Failure in pipeline systems can result in pollution and explosions, which pose a threat to people, property, and the ecology. Hence, this paper presents an overview of a smart pipeline monitoring system. The review encompasses the various methods of monitoring pipeline systems, ranging from traditional systems to IoT-based systems. From the papers reviewed, it was seen that there exist numerous methods to carry out pipeline monitoring. These approaches and methods produced different degree of accuracy and efficiency when applied in monitoring pipelines, and also depends on the content or material the pipeline carries. The review identifies key features of pipeline monitoring systems to include: real-time capability, predictive capability, scalability and accuracy. This paper reveals the possibility to adopt technology-based monitoring system as opposed to traditional methods. 2023-03-08T00:00:00Z