Browsing by Author "Akinwumi, O. A."

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Construction of an Arduino Based Smart Energy Meter
(ICSSD 2024, 2025) AKINWUMI, Sayo A.; Braide, S. M.; Arijaje, T. E.; Akinwumi, O. A.
The design of a smart energy meter with an arduino that measures the current, voltage, energy and power by an individual or small organization is very important. Electricity is among the basic requirements for the maintenance of life contents. But in our country, we have many localities where they have constant electricity and others with little or no access to electricity. Consumers are dissatisfied with the services been provided by the electricity company, and the absurdity in monthly bills are the most common source of displeasure. The issue of having outrageous bills despite the lack of electricity, the ignorance of how much voltage and current is being used in homes led to this creation of this project. This focuses on the system’s problem which entails workforce, time consumption and manipulations of readings by an official authority while producing the bill to the consumer. This project consists of the following components Energy Meter, Arduino DANO Board, Global System for Mobile Communications (GSM) Module, Capacitor, Mobile Phone, Load, Current sensor acs712, Voltage sensor, Transformer, Vero Board, and liquid crystal display (LCD). The energy meter continually monitors the readings and the Arduino processes this data and the readings are uploaded on the liquid crystal display (LCD) of the device and when the readings are taken the Global System for Mobile Communications (GSM) module posts the readings to the thingspeak on the mobile phone. The constructed device displayed the energy, power, current and voltage been consumed with varying loads used and the readings were uploaded on the platform used (thingspeak). The results shows that at 153 W it was at its highest point and at 132 W it was at the lowest point when plotted with time. From the results, it shows that the device is working perfectly. There was fluctuation in the power, voltage and currents but constant increase in the energy. Asides from the saving of cost in relation to remote reading of meters, it is hoped that implementation will encourage energy efficiency and raise awareness of energy consumption and demand side participation in the national energy market. This project is recommended for the electricity power company (PHCN) and it is also recommended for individuals that reside in some localities because it would help save cost and it is convenient.
Eco-friendly Weather Monitoring Device using Arduino Mega and Sensor Integration
(ICSAEES-2024, Lagos, Nigeria, 2024) AKINWUMI, Sayo A.; Okey-Amadi, O.; Ayara, W. A.; Akinwumi, O. A.
The project involved the construction of a hardware setup, utilizing the Arduino Mega as the central control unit. The BME280 sensor was employed to monitor temperature, humidity, and atmospheric pressure, providing comprehensive weather data. The SGP30 sensor was utilized for analyzing air quality, detecting various pollutants such as volatile organic compounds (VOCs) and carbon dioxide (CO2) levels. The MQ135 gas sensor enabled the detection of harmful gases, including ammonia, nitrogen dioxide and benzene. The integration of a 16x4 LCD display allowed for real-time visualization of the collected weather data, providing users with immediate insights. Tactile switches, along with 10k ohm resistors, were used for user interaction, enabling menu navigation and system control. The DS1302 RTC module facilitated accurate timestamping of data readings, while the SD card module enabled data logging for long-term analysis and storage. The successful construction of the Weather Monitoring System demonstrated its capabilities in terms of accuracy, reliability, and real-time monitoring. The integration of Arduino Mega, along with the BME280, SGP30, MQ135, LCD display, push buttons, 10kohm resistors, DS1302 RTC module, and SD card module, provided a comprehensive solution for weather data collection, analysis, and visualization. This project contributes to the advancement of weather monitoring systems, emphasizing the importance of Arduino-based solutions and sensor integration. It highlights the potential for utilizing such technology to address weather challenges effectively, enabling datadriven decision-making and fostering weather awareness. Overall, the Weather Monitoring System presented in this project report offers a valuable tool for monitoring and analyzing atmospheric conditions, paving the way for future enhancements and applications in various weather monitoring domains.
Machine Learning Projection in Performance Evaluation of Cloud Attenuation Prediction Models for Satellite Transmission Quality Improvement
(2024) Adewusi, M. O.; Ometan, O. O.; Akinwumi, O. A.; Omotosho, V. T.; Akinyemi, M. L.
Artificial satellite applications to information transmission remain of great importance now and in the foreseeable future. While machine learning is breaking research achievement records for good, the increase of political influence on scientific potentials needs to be managed cohesively by all for sustainability. The reliability of social and business interactions on communication infrastructure determines the technological advancement of every nation – developed or still underdeveloped. In the disclaimer notices of most financial institutions' transaction forms and mandatory customer business agreements, they declared that they are not liable for communication channel malfunction that may lead to transaction interruption, transmission blackout, and subsequent delay in their services. These prescribe effective hydrometeors attenuation margins determination periodically, from more accurate models – such as machine trained ones, to guarantee an increase in reliability of signal transmissions for every geographic location globally. Earlier research works established that required increases in transmission frequency for better efficiency are directly proportional to consequent hydrometeor attenuation on the signal, and that satellite communication unavailability in most tropical regions is above the allowed 1% outage percentage, significantly due to cloud attenuation contribution at satellite bands - which have been increasing consistently. The existence of clouds in tropical climates is almost perpetual, making cloud models all the more fundamental in tropical regions – which include Africa and not less than half of the rest of the world. The published new tropical cloud attenuation algorithm and its resulting new tropical cloud attenuation model (NTM) - derived from it, are hereby further analysed with respect to a wider frequency range. In the primary research of this work, data were collected from a spectrum analyzer, weather-link, and radiosonde equipment. The data were used to calculate values of cloud attenuation by each major existing cloud model in the signal propagation range of 12 to 50 GHz. The predicted cloud attenuation values were spectrally processed and analysed, resulting in the observation that the NTM’s predictions generally average the characteristics prediction values of existing models as shown by presented graphical outputs, though its differences in values relative to each of the other models are substantial in most cases, as either an increase or a reduction. Also, the predicted attenuation values by each of the cloud models converge increasingly direction-wise with frequency. The stated periodicity requirement above in these regards needs a machine learning approach to at least increase the periodicity of the result’s integrity and reliability by several tens of years, for every geographic location globally.