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All Journal IAES International Journal of Robotics and Automation (IJRA) International Journal of Evaluation and Research in Education (IJERE)
Ishola, Balogun Daud
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Automotive Engineering Education Electrical & Electronics Engineering

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Benefits and challenges of graduate start-up and academic spin-off model integration: a systematic review Anwar Zainol, Fakhrul; Wan Daud, Wan Norhayate; Abdul Rahman, Syamsul Azri; Mohd Salleh, Safrul Izani; Ishola, Balogun Daud
International Journal of Evaluation and Research in Education (IJERE) Vol 14, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v14i4.30288

Abstract

Government representatives and university administrators must comprehend the reasons behind academics’ desire to start their own businesses to create laws that effectively encourage academics to take up entrepreneurship. One may understand how seemingly difficult it might be to foster creativity and entrepreneurship in a varied community, considering how difficult it can be to teach entrepreneurship to university students. Consequently, the goal of this systematic review was to summarize the challenges and benefits of integration of graduate start-up and academic-spin off model. Three internet databases were searched for articles between 2010 and 2023 (i.e., a cumulative index using Scopus, the Web of Science, and Emerald to provide a summary of the challenges and benefits of graduate start-up and academic spin-off models). The study adds to a thorough understanding of the complex nature of business models by highlighting the models’ dynamic evolution over time, the value of global collaboration, the necessity of carefully examining individual models, and the strategic diversity that comes from exploring several business models simultaneously. When taken as a whole, these observations offer insightful information that decision-makers, business owners, and academics may use to better understand, traverse, and navigate the terrain of innovation and entrepreneurial processes.
Fuzzy logic track control of an automated lawnmower Kayode, Ajayi Oluwaseun; Ishola, Balogun Daud; Olubunmi, Ige Ebenezer; John, Adeyi Abiola
IAES International Journal of Robotics and Automation (IJRA) Vol 11, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijra.v11i2.pp122-131

Abstract

Automation of agricultural and horticultural operations keeps received great attention for over a decade. The control parameters adopted depend on the location and characteristics of likely obstacles and navigation requirements. An automated lawnmower (ALM) with fuzzy logic control is presented in this study. Fuzzy logic was chosen to improve a previous work which was controlled via Bluetooth. Three ultrasonic sensors and two proximity sensors served as the eyes of the ALM for navigation and obstacle avoidance while the cutting blade was made of stainless steel and controlled by a brushless direct current (BLDC) motor. A fuzzy algorithm was implemented on an Arduino controller with the inputs and outputs as directional instructions. Obstacle avoidance was achieved by setting a range of values for the sensors interpreted by the fuzzy logic for the corresponding output in the form of navigations. Three trials tests were conducted on the ALM on a 5 m2 portion of land with an average grass height of 0.09 m. The average cut area was 4.46 m2, therefore achieving an efficiency of 89.2%, which is highly productive. It was observed that the power consumption was minimal compared to the previous design because at the end of the three trials 46% of the battery was left after over 3 hours of operation.
Co-Authors Abdul Rahman, Syamsul Azri Anwar Zainol, Fakhrul John, Adeyi Abiola Kayode, Ajayi Oluwaseun Mohd Salleh, Safrul Izani Olubunmi, Ige Ebenezer Wan Daud, Wan Norhayate