Computer Engineering
Permanent URI for this collectionhttp://197.211.34.35:4000/handle/123456789/128
Computer Engineering
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Item A GSM-Based Remote Controlled Poultry Feed Dispensing System Using DTMF(2016) Ahmed, A.; Olaniyi, O. M.; Dogo, E. M.; James, E.Poultry rearing for small scale and commercial farmers has made large contribution in food production. With the recent decline in contribution of livestock subsectors to the national economy, there is a need to device a means of making poultry farming convenient, attractive and maximize yield. Automated Feeding is considered very important in poultry production; however, many famers in the tropical regions practice subsistence farming and mostly employ manual poultry feeding. This paper presents the development of a GSM-based remote-control poultry feed dispensing system via Dual Tone Multi-frequency (DTMF) for intermittent control of poultry feed dispensing. Proper knowledge in this area by farmer will help in running effective production and increase yield in meat and egg to maximize profit. The system is multi state fully input dependent system whose change of state can be controlled by a remote control. The developed mechatronic system reduces manpower, saves time and operates efficiently with minimal human involvement in poultry feeding. The system demonstrated practical effort regarding the improvement in performance of existing solid feed dispensing for high yield with minimal human interventionItem Wireless sensor networks for remote healthcare monitoring in Nigeria: Challenges and way forward(IEEE, 2013) Hassan, N. M.; Olaniyi, O. M.; Ahmed, A.; Dogo, E. M.Wireless sensor networks have gained a lot interest in the field of medicine with a wide range of capabilities. In most developed countries wireless sensor networks are being used in monitoring critical illnesses such as Cancer detection, cardiovascular diseases, monitoring asthmatic patient and in the treatment of Diabetes. Wireless sensor networks have enabled medical doctors to monitor patients remotely and give them timely feedback and support; potentially increasing the reach of health care by making it available anywhere at any time The application of Wireless Sensor Networks for remote medical monitoring is relatively new in Nigeria. Recently the Nigerian government embarked on the use of e-health to meet the health requirements of its remote and rural dwellers. In this paper, we discuss some of the core challenges facing the application of wireless sensor networks for remote medical care monitoring in Nigeria, and how these challenges can hinder the application of Wireless Sensor Networks for remote healthcare in Nigeria.Item Design of a Simple and Low-Cost Microcontroller Based Medicare Device for Heart Beat Monitoring(IEEE, 2013) Dogo, E. M.; Sado, F.; Adah, S. M.Heart beat monitoring is vital to ensuring healthiness of the human cardiovascular system, but availability of a simple and low-cost heart beat monitoring device that does not require expert medical personnel to handle still remains a challenge especially in rural and semi urban areas of developing countries like Nigeria. This paper describes the design and implementation of a simple, reliable, accurate and cost effective microcontroller based heart beat monitoring device with Liquid Crystal Display (LCD) and voice outputs. The heart rate of the subject is measured from the fingertip using optical sensors and the rate is then displayed on a text based LCD and voice outputs in English language and two Nigerian indigenous languages (Hausa and Yoruba).Item Cross-Layer Integration Approach for Improving QoS for IPv6 Based VOIP(iJET, 2014) Dogo, E. M.; Ahmed, A.; Olaniyi, O. M.Voice over IP (VOIP) is today one of the most innovative IP based Communication Technologies in the Telecommunications industry. This has made it to enjoy a high degree of success in its application in small, medium and large scale enterprises, primarily to save cost as well as leveraging on its enhance functionalities such as mobility and scalability. Despite all its successes, VOIP still faces challenges with Quality of Service (QoS) degradation. This paper proposes a cross-layer model to effectively manage interactions in the data, network and transport layers guided by tradeoff between three performance metrics that affect QoS of VOIP for an improved QoS for Voice over IPv6 (VOIPv6). The parameters taken into consideration in this proposed model are: packet loss, delay and throughput observe by the end user.Item Dataset for a wireless sensor network based drinking-water quality monitoring and notification system(Elsevier, 2019) Sithole, M. P. P.; Nwulu, N. I.; Dogo, E. M.This paper presents the collected experimental data for water quality monitoring which was conducted in ten experiments by using five different common sources of water contaminants namely soil, salt, washing powder, chlorine and vinegar and their combination. The data were collected indoors at room temperature during the day for several days using sensors that measure pH, turbidity, flow rate, and conductivity in water. The water consumption risk (CR) was calculated as deviation based on the water quality parameters standards proposed by the World Health Organisation (WHO) and the South African Department of Water Affairs (DWA), with respect to the sensor measurement readings obtained. While the error measurements were calculated based on the expected parameter measurement per conducted experiment and repeated for 26 measurements. Pure tap water was the benchmark of water safe for human consumption. The first five experiments were performed by introducing each contaminant into the water and thereafter, two contaminants in the sixth experiment and their additions until all different contaminants were experimented at once in the last experiment.Item A Comparative Analysis of Gradient Descent-Based Optimization Algorithms on Convolutional Neural Networks(IEEE, 2018) Dogo, E. M.; Afolabi, O. J.; Nwulu, N. I.; Twala, B.; Aigbavboa, C. O.In this paper, we perform a comparative evaluation of seven most commonly used first-order stochastic gradient-based optimization techniques in a simple Convolutional Neural Network (ConvNet) architectural setup. The investigated techniques are the Stochastic Gradient Descent (SGD), with vanilla (vSGD), with momentum (SGDm), with momentum and nesterov (SGDm+n)), Root Mean Square Propagation (RMSProp), Adaptive Moment Estimation (Adam), Adaptive Gradient (AdaGrad), Adaptive Delta (AdaDelta), Adaptive moment estimation Extension based on infinity norm (Adamax) and Nesterov-accelerated Adaptive Moment Estimation (Nadam). We trained the model and evaluated the optimization techniques in terms of convergence speed, accuracy and loss function using three randomly selected publicly available image classification datasets. The overall experimental results obtained show Nadam achieved better performance across the three datasets in comparison to the other optimization techniques, while AdaDelta performed the worst.