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Successful trial shows way forward on quieter drone propellers

Credit: RMIT University
Researchers have published a study revealing their successful approach to designing much quieter propellers.
The Australian research team used machine learning to design their propellers, then 3D printed several of the most promising prototypes for experimental acoustic testing at the Commonwealth Scientific and Industrial Research Organisation s specialised echo-free chamber.
Results now published in
Aerospace Research Central show the prototypes made around 15dB less noise than commercially available propellers, validating the team s design methodology.
RMIT University aerospace engineer and lead researcher Dr Abdulghani Mohamed said the impressive results were enabled by two key innovations - the numerical algorithms developed to design the propellers and their consideration of how noise is perceived in the human ear - as part of the testing. ....

Woutijn Baars , Abdulghani Mohamed , Simon Watkins , Geoff Durham , Robert Carrese , Aerospace Research Central , Aerospace Engineering , Industrial Research Organisation , Commonwealth Scientific , Professor Simon Watkins , Professor Pier , Liam Bullard , Algorithms Models , Calculations Problem Solving , Technology Engineering Computer Science , Robotry Artificial Intelligence , சிமோன் வாட்கின்ஸ் , ஜியோஃப் டர்ஹாம் , விண்வெளி ஆராய்ச்சி மைய , விண்வெளி பொறியியல் , தொழில்துறை ஆராய்ச்சி ஆர்கநைஸேஶந் , காமன்வெல்த் அறிவியல் , ப்ரொஃபெஸர் சிமோன் வாட்கின்ஸ் , ப்ரொஃபெஸர் கப்பல் , லியாம் புல்லார்ட் , கணக்கீடுகள் ப்ராப்லம் தீர்க்கும் ,

Danish computer scientist has developed a superb algorithm for findin

Credit: University of Copenhagen
One of the most classic algorithmic problems deals with calculating the shortest path between two points. A more complicated variant of the problem is when the route traverses a changing network whether this be a road network or the internet. For 40 years, an algorithm has been sought to provide an optimal solution to this problem. Now, computer scientist Christian Wulff-Nilsen of the University of Copenhagen and two research colleagues have come up with a recipe.
When heading somewhere new, most of us leave it to computer algorithms to help us find the best route, whether by using a car s GPS, or public transport and map apps on their phone. Still, there are times when a proposed route doesn t quite align with reality. This is because road networks, public transportation networks and other networks aren t static. The best route can suddenly be the slowest, e.g. because a queue has formed due to roadworks or an accident. ....

Aaron Bernstein , Maximillian Probst Gutenberg , Christian Wulff Nilsen , University Of Copenhagen Department Computer Science , University Of Copenhagen , Rutgers University , Department Of Computer Science Ph , Computer Science , Associate Professor , Optimal Decremental , Dense Weighted , Computer Science Phd , Decremental Single Source Shortest Path , Mathematics Statistics , Algorithms Models , Calculations Problem Solving , Technology Engineering Computer Science , Software Engineering , Theory Design , Research Development , Robotry Artificial Intelligence , ஆரோன் பெர்ன்ஸ்டீன் , மாக்ஸிமிலியன் ப்ரோப்ஸ்த் குட்டன்பெர்க் , கிறிஸ்துவர் வுல்ஃப் நில்சன் , பல்கலைக்கழகம் ஆஃப் கோபெந்ஹேகந் துறை கணினி அறிவியல் , பல்கலைக்கழகம் ஆஃப் கோபெந்ஹேகந் ,

Researchers modify air quality models to reflect polluted reality in Latin America

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IMAGE: Computational models of air quality have long been used to shed light on pollution control efforts in the United States and Europe, but the tools have not found widespread adoption.
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Credit: James East
Computational models of air quality have long been used to shed light on pollution control efforts in the United States and Europe, but the tools have not found widespread adoption in Latin America. New work from North Carolina State University and Universidad de La Salle demonstrates how these models can be adapted to offer practical insights into air quality challenges in the Americas outside the U.S. ....

United States , Jorge Pachon , Juan Sebastian Montealegre , Garcia Menendez , James East , Fernando Garcia Menendez , Carolina State University , North Carolina State University , Universidad De La Salle , Latin America , Latin American , Atmospheric Science , Pollution Remediation , Mathematics Statistics , Algorithms Models , Technology Engineering Computer Science , Biomedical Environmental Chemical Engineering , Civil Engineering , ஒன்றுபட்டது மாநிலங்களில் , ஜார்ஜ் பசொன் , ஜுவான் செபாஸ்டியன் மோந்டோளெகிரே , கார்சியா மெனண்டெஸ் , ஜேம்ஸ் கிழக்கு , பெர்னாண்டோ கார்சியா மெனண்டெஸ் , கரோலினா நிலை பல்கலைக்கழகம் , வடக்கு கரோலினா நிலை பல்கலைக்கழகம் ,

Algorithm helps artificial intelligence systems dodge

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In a perfect world, what you see is what you get. If this were the case, the job of artificial intelligence systems would be refreshingly straightforward.
Take collision avoidance systems in self-driving cars. If visual input to on-board cameras could be trusted entirely, an AI system could directly map that input to an appropriate action steer right, steer left, or continue straight to avoid hitting a pedestrian that its cameras see in the road.
But what if there s a glitch in the cameras that slightly shifts an image by a few pixels? If the car blindly trusted so-called adversarial inputs, it might take unnecessary and potentially dangerous action. ....

Michael Everett , Ford Motor Company , Department Of Aeronautics , Transactions On Neural Networks , Certified Adversarial Robustness , Deep Reinforcement , Neural Networks , Astro Professor Jonathan , Mathematics Statistics , Algorithms Models , Technology Engineering Computer Science , Computer Science , Multimedia Networking Interface Design , Software Engineering , Theory Design , Research Development , Robotry Artificial Intelligence , மைக்கேல் எவரெட் , ஃபோர்ட் மோட்டார் நிறுவனம் , துறை ஆஃப் வான்செலவுத்துறை , பரிவர்த்தனைகள் ஆன் நரம்பியல் நெட்வொர்க்குகள் , ஆழமான வலுவூட்டல் , நரம்பியல் நெட்வொர்க்குகள் , ஆஸ்ட்ரோ ப்ரொஃபெஸர் ஜொனாதன் , கணிதம் புள்ளிவிவரங்கள் , தொழில்நுட்பம் பொறியியல் கணினி அறிவியல் ,

Innovative flat optics will usher the next technological revolution

In a new paper published in
Light: Science & Applications, the group led by Professor Andrea Fratalocchi from Primalight Laboratory of the Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Saudi Arabia, introduced a new patented, scalable flat-optics technology manufactured with inexpensive semiconductors.
The KAUST-designed technology leverages on a previously unrecognized aspect of optical nanoresonators, which are demonstrated to possess a physical layer that is completely equivalent to a feed-forward deep neural network.
What we have achieved, explains Fratalocchi, is a technological process to cover flat surfaces, which in optical jargon are called flat optics, with physical neural units that are able to process light as a neural network does with an electrical signal. ....

Saudi Arabia , Red Sea , Djibouti General , Andrea Fratalocchi , Primalight Laboratory Of The Computer , Mathematical Sciences , King Abdullah University Of Science , Professor Andrea Fratalocchi , Primalight Laboratory , King Abdullah University , Autonomous Learning Framework , Rule Based Evolutionary Design , Abdullah University , Chemistry Physics Materials Sciences , Algorithms Models , Electrical Engineering Electronics , Nanotechnology Micromachines , Molecular Physics , சவுதி அரேபியா , சிவப்பு கடல் , கணித அறிவியல் , கிங் அப்துல்லா பல்கலைக்கழகம் ஆஃப் அறிவியல் , கிங் அப்துல்லா பல்கலைக்கழகம் , தன்னாட்சி கற்றல் கட்டமைப்பு , ஆட்சி அடிப்படையிலானது பரிணாம வளர்ச்சி வடிவமைப்பு , அப்துல்லா பல்கலைக்கழகம் ,