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Biological Systems Thinking for Control Engineering Design
Artificial neural networks and genetic algorithms are often quoted in discussions about the contribution of biological systems thinking to engineering design.
D. J. Murray-Smith
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Design and Implementation of a Touchless Hand Sanitizer Dispenser Mobile Robot [PDF]
Two years ago, coronavirus COVID-19 spread all over the world. This virus causes the death of many people. The main problem is the way to maintain healthy hand wash in the circumstance of physical touch to the bottle that causes infection. The purpose of
Khaleel Hind Z. +2 more
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In the present research, an investigation of the influence of winglet sweep angle and winglet tip chord of the aircraft wing on the aerodynamics properties and how to make it better has been carried out, assuming Cant angle 60, winglet height = 3.5 m ...
Ali Jabbar Alkhafaji +2 more
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COLLECTOR ENGINE CONTROL SYSTEM [PDF]
One of the main features of the current stage of scientific and technological progress is the wider use of microelectronics in various sectors of the economy, which is constantly growing. The role of microelectronics in the development of social production is determined by its almost unlimited possibilities in solving various problems in all sectors of
Oleksandr Vozniak +2 more
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ENGINEERING DEVELOPMENT OF TELESCOPE CONTROL SYSTEMS
Advantages are presented in the use of stepping motors with electron drives, developments and investigations of them at the Observatory throughout recent years.
V. N. Ivanov +2 more
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Traffic congestion prediction based on Hidden Markov Models and contrast measure
Traffic congestion is an important socio-economic problem that swelled in the last few decades. It affects the social mobility of people, length of trips, quality of life, and the economy of countries.
John F. Zaki +4 more
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A Review on Path Planning Algorithms for Mobile Robots [PDF]
Mobile robots use is rising every day. Path planning algorithms are needed to make a traveler of robots with the least cost and without collisions.
Mustafa Abed, Omar Lutfy, Qusay Al-Doori
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Filtering enhanced tomographic PIV reconstruction based on deep neural networks
Tomographic particle image velocimetry (Tomo-PIV) has been successfully applied in measuring three-dimensional (3D) flow field in recent years. Such technology highly relies on the reconstruction technique which provides the spatial particle distribution
Jiaming Liang +3 more
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Robust fractional-order auto-tuning for highly-coupled MIMO systems
Many processes in industry are highly-coupled Multiple-Input Multiple-Output (MIMO) systems. In this paper, a methodology, based on the Kissing Circle (KC) tuning method, is proposed to tune a fractional-order PI controller for these types of systems ...
Jasper Juchem +3 more
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Bayesian learning from multi-way EEG feedback for robot navigation and target identification
Many brain-computer interfaces require a high mental workload. Recent research has shown that this could be greatly alleviated through machine learning, inferring user intentions via reactive brain responses.
Christopher Wirth +2 more
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