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Articles 1 - 4 of 4
Full-Text Articles in Engineering
A Sample Weight And Adaboost Cnn-Based Coarse To Fine Classification Of Fruit And Vegetables At A Supermarket Self-Checkout, Khurram Hameed, Douglas Chai, Alexander Rassau
A Sample Weight And Adaboost Cnn-Based Coarse To Fine Classification Of Fruit And Vegetables At A Supermarket Self-Checkout, Khurram Hameed, Douglas Chai, Alexander Rassau
Research outputs 2014 to 2021
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. The physical features of fruit and vegetables make the task of vision-based classification of fruit and vegetables challenging. The classification of fruit and vegetables at a supermarket self-checkout poses even more challenges due to variable lighting conditions and human factors arising from customer interactions with the system along with the challenges associated with the colour, texture, shape, and size of a fruit or vegetable. Considering this complex application, we have proposed a progressive coarse to fine classification technique to classify fruit and vegetables at supermarket checkouts. The image and weight of …
Reducing The Impacts Of Electric Vehicle Charging On Power Distribution Transformers, Pravakar Pradhan, Iftekhar Ahmad, Daryoush Habibi, Ganesh Kothapalli, Mohammad A.S. Masoum
Reducing The Impacts Of Electric Vehicle Charging On Power Distribution Transformers, Pravakar Pradhan, Iftekhar Ahmad, Daryoush Habibi, Ganesh Kothapalli, Mohammad A.S. Masoum
Research outputs 2014 to 2021
This article investigates the effects of high penetration levels of Electric Vehicle (EV) charging on power distribution transformers and proposes a new solution to minimize its negative impacts. There has been growing concern over Greenhouse Gas (GHG) emissions within the transportation sector, which accounts for about 23% of total energy-related carbon-dioxide emissions. The main solution to this problem is the electrification of vehicles. However, large scale integration of EVs into existing grid systems poses some challenges. One major challenge is the accelerated aging of expensive grid assets such as transformers. In this article, a demand response mechanism based on the …
A Secure And Energy-Aware Approach For Cognitive Radio Communications, Haitham Khaled, Iftekhar Ahmad, Daryoush Habibi, Quoc Viet Phung
A Secure And Energy-Aware Approach For Cognitive Radio Communications, Haitham Khaled, Iftekhar Ahmad, Daryoush Habibi, Quoc Viet Phung
Research outputs 2014 to 2021
The cognitive radio (CR) technique has revealed a novel way of utilizing the precious radiospectrum via allowing unlicensed users to opportunistically access unutilized licensed bands. Using sucha technique enables agile and flexible access to the radio spectrum and can resolve the spectrum-scarcityproblem and maximize spectrum efficiency. However, two major impediments have been limiting thewidespread adoption of cognitive radio technology. The software-defined radio technology, which is theenabling technology for the CR technique, is power-hungry and this raises a major concern for battery-constrained devices such as smart phones and laptops. Secondly, the opportunistic and open nature ofthe CR can lead to major …
An Intelligent Controlling Method For Battery Lifetime Increment Using State Of Charge Estimation In Pv-Battery Hybrid System, Md Ohirul Qays, Yonis Buswig, Hazrul Basri, Md Liton Hussain, Ahmed Abu-Siada, Md Momtazur Rahman, S. M. Muyeen
An Intelligent Controlling Method For Battery Lifetime Increment Using State Of Charge Estimation In Pv-Battery Hybrid System, Md Ohirul Qays, Yonis Buswig, Hazrul Basri, Md Liton Hussain, Ahmed Abu-Siada, Md Momtazur Rahman, S. M. Muyeen
Research outputs 2014 to 2021
In a photovoltaic (PV)-battery integrated system, the battery undergoes frequent charging and discharging cycles that reduces its operational life and affects its performance considerably. As such, an intelligent power control approach for a PV-battery standalone system is proposed in this paper to improve the reliability of the battery along its operational life. The proposed control strategy works in two regulatory modes: maximum power point tracking (MPPT) mode and battery management system (BMS) mode. The novel controller tracks and harvests the maximum available power from the solar cells under different atmospheric conditions via MPPT scheme. On the other hand, the state …