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Hang Cheong Wong

Researcher at University of Macau

Publications -  13
Citations -  191

Hang Cheong Wong is an academic researcher from University of Macau. The author has contributed to research in topics: Control theory & PID controller. The author has an hindex of 5, co-authored 13 publications receiving 140 citations.

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Drug screening of cancer cell lines and human primary tumors using droplet microfluidics

TL;DR: This study exploited a 2.4 × 2.4 centimeters polydimethylsiloxane based microfluidic chip to conduct drug screens against suspended and adherent cancer cell lines, as well as cells dissociated from primary tumor of human patients, providing a powerful tool for rapid, low-input drug screening of primary cancers within 24 hours after tumor resection from cancer patients.
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Model predictive engine air-ratio control using online sequential extreme learning machine

TL;DR: Experimental results show the superiority of the proposed OEMPC over the other two controllers, which can more effectively regulate the air-ratio to specific target values under external disturbance, and is a promising scheme to replace conventional PID controller for engine air-Ratio control.
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A Noise-Insensitive Semi-Active Air Suspension for Heavy-Duty Vehicles with an Integrated Fuzzy-Wheelbase Preview Control

TL;DR: In this paper, a fuzzy-wheelbase preview controller with wavelet denoising filter (FPW) is developed for semi-active air suspension system, which can generate a noise-insensitive control damping force.
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Why is the world not yet ready to use alternative fuel vehicles

TL;DR: In this paper, the authors reviewed the advantages and disadvantages of alternative fuel vehicles (AFVs), including flexible-fuel, gas, electric, hybrid electric, and fuel cell electric vehicles, and found that the higher price of AFVs compared to that of gasoline and diesel vehicles might be one of the main barriers for their wider adoption.
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Online wavelet least-squares support vector machine fuzzy predictive control for engine lambda regulation

TL;DR: The experimental results show that the proposed online wavelet least-squares support machine fuzzy predictive control is a promising scheme for lambda regulation.