Dr Mrs Nkolika O. Nwazor is a Computer and Control Systems Engineer with research interests in control systems engineering, systems automation, robotics, artificial intelligence, internet of things,embedded systems design and implementation and software engineering. She is currently a Senior Lecturer and the Assistant Director of the Center for Information and Telecommunication Engineering
European Journal of Engineering Research and Science
Over the years, a lot of irrigation systems have been developed to aid crop farming but most of t... more Over the years, a lot of irrigation systems have been developed to aid crop farming but most of them are manually operated. The few automatic irrigation systems available in the country are very expensive and therefore not easily available to the peasant farmers. The need for improved non-seasonal crop farming gave rise to this research work on a low cost irrigation system made from locally sourced components. The system designed in this work makes use of a locally made soil humidity sensor to check the water level in the soil. If the water level is below the required level, the irrigation system is turned on by sending a signal to the relay connected to the pump which opens the valve to let water out. Once the required humidity is obtained, it is turned off through a similar mechanism. The control also has six buttons for time-based control of irrigation for crops that demand irrigation at specific times of the day. With a system like this, non-seasonal farming is ensured thus inc...
International Journal of Scientific Research and Management
Fungi have been identified as a major threat to crop production in the world. In this study, meth... more Fungi have been identified as a major threat to crop production in the world. In this study, methods of improving the performance of plant disease detection and prediction using artificial neural network techniques are presented. The hyperspectral fungi dataset of 21 plant species were collected and trained using backpropagation algorithms of an artificial neural network to improve the conventional hyperspectral sensor. The system was modelled using self-defining equations and universal modelling diagrams and then implemented in the neural network toolbox in Matlab. The system was tested validated and the result showed a fungi detection accuracy of 96.61% and the percentage increment was 19.53%.
System is a user-friendly and interactive e-learning software that can be used by both computer e... more System is a user-friendly and interactive e-learning software that can be used by both computer experts and non-computer experts to prepare a courseware in any subject of interest and to present lectures to the target audience in full media. The resultant courseware is accessed online by the target audience. The software features automated assessment and grading of students. Top-down methodology was adopted in the development of the authoring software. Implementation languages include Asp.Net and Visual Basic 9.0 and Microsoft Access 2007. An author can use the system to create a web-based courseware on any topic of his choice, while the software platform still remains intact for yet another author. A major contribution of this work is that it eases courseware preparation and delivery for lecturers and trainers.
2017 IEEE 3rd International Conference on Electro-Technology for National Development (NIGERCON), 2017
This work is on the optimization of energy management in a process industry using Port Harcourt R... more This work is on the optimization of energy management in a process industry using Port Harcourt Refining Company, PHRC, and Nigeria as a case study. Every industry requires efficient energy management to perform optimally. PHRC has sufficient energy supply but is facing the challenge of high energy consumptions resulting in high production costs. Specifying the impact factor of composite variables in a production process is important for efficient energy management. Mathematical models for predicting the yearly energy consumption of the company was developed using multiple regression and validated. The model in conjunction with Cumulative Sum, CUSUM analysis was used to specify the contributions of each petroleum product to the energy consumption of the company. Coke (petroleum product) had the highest contribution notwithstanding the fact that its energy consumption was the least in the company's data. Therefore to optimize energy management and reduce utility bill, its product...
Indiscriminate dumping of refuse is a very big challenge in our societies today. It comes with th... more Indiscriminate dumping of refuse is a very big challenge in our societies today. It comes with the challenges of environmental pollution and degradation, wasting of scarce land, disease outbreaks and destruction of aquatic life to mention a few. Efficient waste management is therefore a very important factor if a country will have sustainable ecological development. The Smart Waste Management System proposed in this work seeks to address this. The system comprises the Power Supply, the State Sensors, the output display, the load driver, the load, the communication module and the control unit. The power supply supplies 12V dc to the relay and 5V dc to the microcontroller and its electronics components. The state sensors sense the state of the system and send the information to the control unit. The state sensors was implemented using limit switches, Light Emitting Diode and Light Dependent Resistor. The Output Display helps the users and the operators to know the state of the system ...
This paper is on an Intelligent Substation Automatic Load Shedding System for Power Distribution.... more This paper is on an Intelligent Substation Automatic Load Shedding System for Power Distribution. This serves as a solution to the manual method of load shedding where the feeders are put off and on by pressing their control switches on the control board located in the control room currently being used in developing countries like Nigeria. The prototype developed comprises the power supply module, the sensing unit, the dynamic load controller, the generation and transmission stations, the fuse, the programmable control switch, the distribution feeders and the output display. The power supply supplies the 5V needed for the operation of the system. The sensing unit serves as input to the dynamic load controller. The available megawatt power is input to the system through the SU. The dynamic load controller contains the algorithm that implements the load shedding based on available megawatt power. The generation and transmission station (GTS) represents the available power in the trans...
European Journal of Engineering Research and Science
Over the years, a lot of irrigation systems have been developed to aid crop farming but most of t... more Over the years, a lot of irrigation systems have been developed to aid crop farming but most of them are manually operated. The few automatic irrigation systems available in the country are very expensive and therefore not easily available to the peasant farmers. The need for improved non-seasonal crop farming gave rise to this research work on a low cost irrigation system made from locally sourced components. The system designed in this work makes use of a locally made soil humidity sensor to check the water level in the soil. If the water level is below the required level, the irrigation system is turned on by sending a signal to the relay connected to the pump which opens the valve to let water out. Once the required humidity is obtained, it is turned off through a similar mechanism. The control also has six buttons for time-based control of irrigation for crops that demand irrigation at specific times of the day. With a system like this, non-seasonal farming is ensured thus inc...
International Journal of Scientific Research and Management
Fungi have been identified as a major threat to crop production in the world. In this study, meth... more Fungi have been identified as a major threat to crop production in the world. In this study, methods of improving the performance of plant disease detection and prediction using artificial neural network techniques are presented. The hyperspectral fungi dataset of 21 plant species were collected and trained using backpropagation algorithms of an artificial neural network to improve the conventional hyperspectral sensor. The system was modelled using self-defining equations and universal modelling diagrams and then implemented in the neural network toolbox in Matlab. The system was tested validated and the result showed a fungi detection accuracy of 96.61% and the percentage increment was 19.53%.
System is a user-friendly and interactive e-learning software that can be used by both computer e... more System is a user-friendly and interactive e-learning software that can be used by both computer experts and non-computer experts to prepare a courseware in any subject of interest and to present lectures to the target audience in full media. The resultant courseware is accessed online by the target audience. The software features automated assessment and grading of students. Top-down methodology was adopted in the development of the authoring software. Implementation languages include Asp.Net and Visual Basic 9.0 and Microsoft Access 2007. An author can use the system to create a web-based courseware on any topic of his choice, while the software platform still remains intact for yet another author. A major contribution of this work is that it eases courseware preparation and delivery for lecturers and trainers.
2017 IEEE 3rd International Conference on Electro-Technology for National Development (NIGERCON), 2017
This work is on the optimization of energy management in a process industry using Port Harcourt R... more This work is on the optimization of energy management in a process industry using Port Harcourt Refining Company, PHRC, and Nigeria as a case study. Every industry requires efficient energy management to perform optimally. PHRC has sufficient energy supply but is facing the challenge of high energy consumptions resulting in high production costs. Specifying the impact factor of composite variables in a production process is important for efficient energy management. Mathematical models for predicting the yearly energy consumption of the company was developed using multiple regression and validated. The model in conjunction with Cumulative Sum, CUSUM analysis was used to specify the contributions of each petroleum product to the energy consumption of the company. Coke (petroleum product) had the highest contribution notwithstanding the fact that its energy consumption was the least in the company's data. Therefore to optimize energy management and reduce utility bill, its product...
Indiscriminate dumping of refuse is a very big challenge in our societies today. It comes with th... more Indiscriminate dumping of refuse is a very big challenge in our societies today. It comes with the challenges of environmental pollution and degradation, wasting of scarce land, disease outbreaks and destruction of aquatic life to mention a few. Efficient waste management is therefore a very important factor if a country will have sustainable ecological development. The Smart Waste Management System proposed in this work seeks to address this. The system comprises the Power Supply, the State Sensors, the output display, the load driver, the load, the communication module and the control unit. The power supply supplies 12V dc to the relay and 5V dc to the microcontroller and its electronics components. The state sensors sense the state of the system and send the information to the control unit. The state sensors was implemented using limit switches, Light Emitting Diode and Light Dependent Resistor. The Output Display helps the users and the operators to know the state of the system ...
This paper is on an Intelligent Substation Automatic Load Shedding System for Power Distribution.... more This paper is on an Intelligent Substation Automatic Load Shedding System for Power Distribution. This serves as a solution to the manual method of load shedding where the feeders are put off and on by pressing their control switches on the control board located in the control room currently being used in developing countries like Nigeria. The prototype developed comprises the power supply module, the sensing unit, the dynamic load controller, the generation and transmission stations, the fuse, the programmable control switch, the distribution feeders and the output display. The power supply supplies the 5V needed for the operation of the system. The sensing unit serves as input to the dynamic load controller. The available megawatt power is input to the system through the SU. The dynamic load controller contains the algorithm that implements the load shedding based on available megawatt power. The generation and transmission station (GTS) represents the available power in the trans...
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