.advertise@offshoreoiljobs.co.uk

.www.offshoreoiljobs.co.uk

Category: Mechanical Engineering

Using haptic feedback joysticks to fly drones

A new joystick developed by startup MotionPilot lets users fly drones with just one hand in a fun, intuitive way. One version of this device includes a haptic feedback mechanism that gives users a sense of the drone’s position as it moves through the air. Drone aficionados were recently impressed by a prototype, and the device could hit the market soon. Drones are already used in a wide range of applications, such as monitoring crops, taking camera shots, racing, and,…

Building blocks to create metamaterials

An illustration of a metamaterial designed by Daraio’s team. Though each individual square is identical, their layout and the metamaterial’s overall design cause waves to propagate in a specific pattern through the material, as indicated by the squares’ different colors. Credit: Chiara Daraio/Caltech Engineers at Caltech and ETH Zürich in Switzerland have created a method to systematically design metamaterials using principles of quantum mechanics. Their work could pave the way for wider use of metamaterials in more mainstream applications by…

Nearing an NICU breakthrough

Currently, the device is in the early clinical trial stage. Before clinical trials, Roger Fales and the team developing the device tested its capabilities on a simulator. Photo courtesy of Roger Fales. Neonatal Intensive Care Unit (NICU) nurses have plenty on their plate on a daily basis. A Mizzou Engineering researcher is part of a team working on a new device that could help lessen their load. Roger Fales, associate professor of Mechanical and Aerospace Engineering, is partnering with Ramak…

Manufacturing a tasty cocktail

Manufacturing a tasty cocktail Dan Batliner, center, and Dogmaster Distillery paired with two MU Engineering capstone groups part of their coursework. The goal was to create actionable plans for a pair of challenges facing the distillery — optimizing facility space and streamlining production. Photo by Amy Parris. Dan Batliner earned his bachelor’s degree in chemical engineering from Mizzou in 1992, then spent the bulk of his career as a consultant in the water treatment industry. When an opportunity arose to…

Leveraging Activation Block Sparsity for Speeding up Convolutional Neural Networks

By applying convolutional neural networks (CNNs) and other deep learning techniques, researchers at Uber ATG Toronto are committed to developing technologies that power safer and more reliable transportation solutions. CNNs are widely used for analyzing visual imagery and data from LiDAR sensors. In autonomous driving, CNNs allow self-driving vehicles to see other cars and pedestrians, determine their exact locations, and solve many other difficult problems that could not previously be tackled with conventional algorithms. To ensure that our autonomous systems…

California’s water saving brings bonus effects — ScienceDaily

Water-saving measures in California have also led to substantial reductions in greenhouse gas (GHG) emissions and electricity consumption in the state. That is the conclusion of new research from the University of California, Davis, published today in the journal Environmental Research Letters. Measures to cut water use by 25 per cent across California were implemented in 2015, following a four-year drought in the state that caused the fallowing of 542,000 acres of land, total economic costs of $2.74 billion, and…

Breast cancer research gets a mechanical boost

One of the most puzzling questions in breast cancer research is why some tumors stay put, while rogue cells from others break free and spread to surrounding tissues, the first step toward creating a more lethal disease. Although researchers have found some signs in mutated genes or telltale proteins on the cell’s surface, those discoveries don’t tell the whole story. Curiously, one path to unraveling this mystery may lie in a field not usually associated with cancer research: mechanical engineering.…

Engineering solution for magnetic materials to significantly decrease costs of MRI research

Project leader Yevgeny Gorelikov conducts laboratory tests of a magnet sample for an MRI scanner. Credit: The National University of Science and Technology MISIS Researchers from the NUST MISIS Engineering Center for Industrial Technologies have developed an innovative technology for the production of magnetic materials and permanent magnets at a reduced cost. This engineering solution will allow scientists to produce affordable and efficient domestic magnetic resonance imaging (MRI) devices for wide use in public health clinics. According to the developers’…

Improving Uber Customer Care with NLP & Machine Learning

To facilitate the best end-to-end experience possible for users, Uber is committed to making customer support easier and more accessible. Working toward this goal, Uber’s Customer Obsession team leverages five different customer-agent communication channels powered by an in-house platform that integrates customer support ticket context for easy issue resolution. With hundreds of thousands of tickets surfacing daily on the platform across 400+ cities worldwide, this team must ensure that agents are empowered to resolve them as accurately and quickly as…

Digitization in motor vehicle manufacturing

A variety of options in motor vehicle manufacturing: Outwardly, many parts are virtually indistinguishable to workers. Credit: Fraunhofer IFF, Andreas Süss Pressure to optimize is intense on the floors of motor vehicle manufacturers’ factories: Variance is steadily increasing. Costs have to be contained. Fraunhofer researchers are now using RFID technology to introduce more transparency in motor vehicle manufacturers’ supply chains and manufacturing operations. This reduces time and labor, thus boosting cost effectiveness. Anyone who has ever ordered a new car…