Olubiyi Akintade - Academia.edu (original) (raw)

Papers by Olubiyi Akintade

—This study developed a low cost, battery powered, low energy, and remotely monitored bird egg ha... more —This study developed a low cost, battery powered, low energy, and remotely monitored bird egg hatching system (incubator). The system developed has two parts, the mechanical and electronic part. The mechanical part is a mechanism for angular tilting of egg trays up and down on an hourly basis while the electronic part provides for the electronic measurement and control of the incubator's incubation parameters (temperature, humidity, ventilation and egg tilting). The various control elements in the incubator chamber are the DC motor, humidifier, ventilation fans, and a specially made low power DC heater used to regulate egg tilting, humidity, ventilation and temperature, respectively. The incubator system developed was tested with quail eggs for 17 days. It was able to maintain the temperature between the required range of 37 0 C and 38 0 C. Humidity was maintained between 32% and 35% during incubation and 60% and 75% during hatching. The incubator achieved 94% hatchability.

This work uses inertial sensors (accelerometer and gyroscope) to track human knee joint movement ... more This work uses inertial sensors (accelerometer and gyroscope) to track human knee joint
movement and then compares results from these sensors. The MPU-9150 module which
combines a tri-axial accelerometer and a tri-axial gyroscope was used as sensors. An
mbed NXP LPC1768 was used as microcontroller and ZigBee protocol (XBee Modules)
was employed for wireless communication. Both sensors show high repeatability (<
1.0 ° ), indicating usability. While the gyroscope is good for range of motion
measurement, an accelerometer is good for tilt angle measurement. Though data fusion
techniques can be used to integrate data from both sensors, it results in an increase in
development cost.

Conference Presentations by Olubiyi Akintade

This paper presents a basic laboratory training module aimed at helping undergraduate students un... more This paper presents a basic laboratory training module aimed at helping undergraduate students understand the interfacing and connectivity issues involved in the Internet of things (IoT). The training module uses a sequential teaching approach to draft quasi-experiments for teaching basic IoT concepts. Interfacing includes identification, embedded sensing and embedded actuating while connectivity includes wireless connectivity and web/ mobile services.

An IoT function (control and/or measurement) is first selected by users based on the physical variable of interest and the action to be carried out. The user will also select a connectivity option based on network types and transmission technologies available for communication between a sensor and/or an actuator and a gateway. The available connectivity options in this work are Bluetooth and RF. An interface is then setup based on the choices made using Arduino Pro Mini as microcontroller. Arduino Yun and a smartphone are the available gateway options depending on the connectivity option of the interface. When Bluetooth is the connectivity type on the interface, the smartphone is used as gateway while Arduino Yun serves as the gateway when RF is the connectivity option on the interface. The training module is accompanied with an instruction manual which contains instructions on the set ups and short notes on signals and systems, Analog to Digital Converters (ADC), Digital to Analog Converters (DAC), Wireless Sensor Networks (WSN), etc.

The training module was tested with 100 randomly selected students. A few students had problems setting up the interface correctly. Coding the Arduino boards was a challenge for some of the students while a few others had challenges with creating sensor nodes. Choosing the correct connectivity type to match a gateway was the most challenging for the students.