Articles tagged with Systems Engineering
Scientists have found that axisymmetric 'spike waves' can exceed previously thought limits on ocean wave height, leading to significant implications for maritime safety. The new research revealed the fundamental mechanisms behind highly directional and crossing waves becoming much larger than others.
A simplified surgical tool called RAIS has been developed to enable laparoscopic surgery in low-to-middle income countries. The device uses a mechanical retractor and does not require CO2 gas or a general anaesthetic, making it more accessible and affordable for rural surgeons.
A new theory developed by researchers at the University of Chicago proves the existence of local equilibrium at interfaces, which are regions where materials interact and connect. This finding has significant implications for understanding and engineering systems with multiple components.
Researchers developed a computational model to determine optimal places for electric vehicle charging facilities and powerful stations without straining the local power grid. The model considers travel flow, user demand, and regional power infrastructure needs.
A team of researchers from Rice University has modeled the dynamics of grain boundaries in polycrystalline materials using a rotating magnetic field technique. The study shows that grain boundaries can change readily in response to shear stress, and voids in these structures can act as sources and sinks for their movement.
Lan Yang, a leading researcher in photonic devices, has been selected for the award due to her exceptional academic achievements. She is recognized as one of the most-cited researchers in her field, with work cited nearly 17,500 times.
A recent study by Concordia researchers analyzed over 150,000 government websites and 1,150 Android apps, finding that 17% of government websites and 37% of Android apps host Google trackers. The study also identified 304 malicious sites and 40 apps flagged by internet security website VirusTotal.
Researchers at North Carolina State University have developed FAXID, a hardware-based approach for detecting ransomware that is significantly faster than software-based methods. In proof-of-concept testing, FAXID demonstrated accuracy comparable to XGBoost but with speeds up to 65.8 times faster.
A new study by Dr. Marin Marinov at Aston University proposes three solutions to make train commuting less stressful: purchasing tickets on smartphones, removing ticket gates and installing sensors, and implementing one-way flow systems in station concourses. These changes could reduce queuing times and promote social distancing.
A Rutgers engineer has developed a faster and cheaper way to recover cloud-covered earth surface using a recommendation algorithm inspired by Netflix and Amazon. The algorithm, called Funk-SVD, is more accurate than conventional data-filling tools in predicting coastal landscapes.
Sandia researchers have designed a reliable and resilient microgrid for NASA's Artemis lunar base, which will sustain astronauts, mining, and fuel processing. The system utilizes distributed energy resources like solar panels and wind turbines, with a focus on efficient power management and scalability.
A new method reduces computational complexity of traffic models, making them operate more efficiently. The modified algorithm breaks down complex forecasting questions into smaller problems that can be solved in parallel, significantly reducing run time. This approach also allows for a good enough solution within an error bar, rather t...
James Anderson, assistant professor of electrical engineering at Columbia University, has received a National Science Foundation (NSF) CAREER award for his work on developing randomized algorithms for the analysis and control of large-scale cyber-physical systems. His goal is to provide robust, reliable, and secure autonomy to large-sc...
Researchers developed a portable desalination unit weighing less than 10kg that removes particles and salts to generate clean drinking water. The device uses ion concentration polarization and electrodialysis processes, requiring minimal energy and maintenance.
A new study by UC Berkeley scientists finds that solar photovoltaics can provide sufficient power for extended Mars missions, outperforming nuclear fusion reactors in over 50% of the planet's surface. This breakthrough provides a more practical solution for long-term human settlements on Mars.
Researchers have developed microrobot collectives that can move in various formations, reconfiguring their behavior quickly and robustly. The systems use a combination of magnetic forces, fluid dynamics, and computation to achieve coordinated patterns of motion.
Researchers at Michigan State University have designed a learning-enabled safe controller for systems operating in uncertain environments. The new method, which combines control barrier functions and Lyapunov functions, allows the system to quickly learn uncertainties while achieving maximum safe performance.
A new control allocation method using a neural network improves the performance of quadrotor controllers by considering aerodynamic effects. This approach reduces errors in command generation and delivers better thrust and torque signals.
Developed by Prof. Qing Shi's team, SQuRo can mimic the motion of actual rats and perform various motions like crouching-to-standing, walking, crawling, and turning. It successfully passed through an irregular narrow passage and demonstrated its potential application to inspection tasks inside narrow spaces.
A new robotic system allows surgeons to remotely treat patients experiencing a stroke or aneurysm, providing teleoperated endovascular treatment during the critical golden hour. With just one hour of training, neurosurgeons can successfully operate the system to guide a wire through complex vessels and reach difficult-to-reach areas.
A study by University of Waterloo researchers identified areas such as player fatigue, mental stress, and peak performance conditions that require in-depth research to improve coaching and player performance. Professional esports players often practice for 12-14 hours a day, six days a week, leading to burnout and physical injuries.
Researchers developed first fully integrated parity-time symmetric electronic system, expanding giga-terahertz research capabilities. The system operates without exotic materials, utilizing standard microelectronic fabrication technology.
The new eye detection system allows for clear iris image capture from 2m away and can process over 700 frames per second, enabling real-time biometric identification. This innovation has the potential to revolutionize security and access control in various settings.
Researchers from North Carolina State University have released a dataset providing detailed information on COVID-19 vaccine shipments and wastage across the US. The data aims to inform modeling and decision-making to optimize vaccine supply chains.
Developers are integrating optical coherence tomography (OCT) machines into sensor packages to create fast and accurate LiDAR systems. These advancements enable robots and cars to see the world in a more natural and safe manner, improving interaction with humans.
A research team at Pohang University of Science & Technology developed an optical encryption platform that works in both the visible and ultraviolet regimes. The platform uses metasurface technology to display unique product numbers and improve encryption security.
The University of Plymouth is collaborating with Kongsberg Digital to develop a state-of-the-art simulator that will revolutionize the floating offshore wind sector. The new system will provide key insights into solutions increasing efficiency, safety, and cost effectiveness for industry professionals.
A research team at the Advanced Science Research Center has identified peptidoglycan as the most powerful actuator material. The new water-responsive muscles can quickly expand and contract in response to water absorption and evaporation, enabling rapid actuation of micro and macro structures.
A study by Sibani Lisa Biswal and Kedar Joshi shows that magnetically driven colloidal suspensions exhibit behavior consistent with the principles of classical thermodynamics, including vapor pressure, viscosity, and surface tension. The researchers' findings have implications for designing materials with reconfigurable properties.
The Texas cold snap highlighted the critical role of electricity in society and the need for improved power system planning to withstand extreme weather events. The event showed that traditional planning based on historical weather patterns is not sufficient, and new information from climate projection models is needed.
Researchers developed a machine learning method to create controls that balance building energy cost, comfort, and efficiency. The system can compute solutions at a fast pace, reducing the need for complex model predictive controllers.
Researchers found that ant colonies use an algorithm similar to the internet's data optimization, which senses and stabilizes behavior. This principle is also used in cells and neurons. Nature's algorithms may inspire new cybersecurity strategies or alternative approaches to gene regulation.
The University of Texas at El Paso establishes a new Systems Modeling and Simulation concentration, enhancing students' skills in data analytics, computer simulation, and machine learning. The program aims to train students for innovative industries with rapidly changing environments.
Researchers at University of Missouri found a long-term association between adolescent psychological well-being and adult cardiovascular disease risk. People who are more optimistic in their youth can lower their chances for heart disease as adults.
Researchers have developed a low-cost system called SIFTER that uses advanced algorithms and models to continuously screen for fever in multiple people without requiring human interaction. The system can take temperature readings up to three meters away, producing accurate predictions with minimal disruption to normal activities.
George Mason University researchers are developing a framework for Explainable and Transparent Machine Learning (EXTRA) for Autonomous Decision-Making systems. The project aims to improve the transparency and explainability of AI-driven decisions in autonomous systems, with potential applications in various industries.
Researchers developed a vortex microscope that captures detailed motion and rotation of molecules in liquid. The technique provides unprecedented insight into molecular dynamics, enabling the study of diseases like Alzheimer's.
Yushan Yan, a University of Delaware engineering professor, has been recognized by the National Academy of Engineering for his contributions to sustainable chemical engineering and electrochemical systems. He is also an inventor on over 20 patents and founder of Versogen, a Wilmington-based startup.
Researchers have discovered that altering the interface between two materials in time can lead to new opportunities for wave manipulation. This breakthrough enables novel concepts and applications in photonics, including nonreciprocal gain, power steering, and optical drag.
A new machine learning process has been developed to identify and classify hip fractures from X-rays, achieving 92% accuracy and confidence. This approach aims to improve patient outcomes, reduce care costs, and alleviate the bottleneck of unreported radiographs in the UK.
The £1 million HAROLD 2.0 test rig will enhance the facility's functionality with real-time train braking performance models and a fully functional AC power bogie, enabling analysis of on-train systems and novel hybrid drivetrains.
Researchers at the University of Delaware have developed a novel electrochemical system that can capture 99% of carbon dioxide from air, effectively turning it into an environmentally friendly fuel cell technology. The technology uses hydrogen as power and has potential applications in various industries, including automotive, aerospac...
Researchers at NYU Abu Dhabi have published a comprehensive review of 50 fundamental traffic models using an extensive data set of 2.3 billion vehicle observations from 25 cities worldwide. The study found that a non-parametric model outperformed other traffic flow models, regardless of road type and congestion level.
A new AI-powered system tracks food intake to ensure residents meet their nutritional needs, providing accurate data and reducing errors. The system analyzes photos of plates after meals, estimating food consumption and calculating its nutritional value.
KAUST researchers have found that even low-speed solid-liquid impacts can cause cavitation and generate damaging shock waves. This challenges previous assumptions about the effects of such impacts. The team used high-speed cameras to study the impact of a flat-bottomed cylinder on a pool of liquid, observing that pressures below a cert...
A team of scientists from Korea Maritime and Ocean University has developed a novel synthesis route to produce a high-performance co-doped anode material for rechargeable seawater batteries. This breakthrough enables the creation of efficient and sustainable maritime applications, including emergency power supply for coastal nuclear pl...
This book provides a fundamental understanding of the physical, biological, and chemical processes governing fine sediment transport in open water. It covers various spatial and temporal scales, from micro-scale to system-wide, and discusses interactions between disciplines such as hydrodynamics and soft soil mechanics.
A new study proposes a sustainable recycling method for PPE waste using pyrolysis, a medium-temperature reaction that reduces plasticized medical-protection garb into chemicals and petroleum. The method avoids landfill use and incineration, reducing greenhouse gas emissions by 35.42%.
Boyce's research aims to develop MRI techniques to characterize the interior of flow systems in 3D, leading to revolutionized technologies in sustainable mining and hydrogen-powered vehicles. He plans to use visualizations to inspire middle- and high-school students from Harlem and the Bronx to pursue STEM studies.
Cornell researchers have successfully trained various physical systems, including mechanical, optical, and electrical systems, to perform machine learning tasks. The developed training algorithm enables diverse systems to be chained together for efficient processing.
A team of scientists developed an AI-based model to predict personal thermal comfort based on spatial parameters, achieving exceptional accuracy. The study highlights the importance of incorporating architectural features in models to reduce energy consumption.
A new approach uses reinforcement learning algorithm to help robotic knee mimic intact human knee in walking, achieving 100% success rate on even ground. The technology also adapts to uneven terrain and changes in walking pace, promising a more comfortable experience for prosthetic users.
Researchers developed a machine learning approach enabling robots to separate, recognize, and grasp individual objects with high accuracy. The method achieved 97% success rate in real-world experiments, paving the way for industrial parts sorting and residential waste sorting applications.
Researchers developed a novel robotic replica of a human spine with an artificial disc implant and soft magnetic sensor array. The system can classify five different postures of the spine with 100% accuracy, providing physiologically relevant data before invasive surgeries.
The study found that efficient metabolic processes and recycling of components used by the enzyme RuBisCO significantly speed up photosynthesis in Chlorella ohadii. This discovery could lead to improving photosynthesis efficiency in other plants, developing new engineering tools for sustainable food production.
Researchers successfully engineered mesenchymal stromal cells to carry and deliver therapeutics specifically to targeted tissues, offering a precise and reliable approach for treating diseases. This novel cargo-carrier, dubbed 'Cargocytes,' retains most of its cellular functionality while greatly enhancing therapeutic capacity.
A recent study found that social media posts about COVID-19 were less likely to contain misinformation than posts about other health topics. The research also revealed that health misinformation was already prevalent before the pandemic, with credible sources like governments and academic institutions being more trustworthy.
A new study reveals that mobile apps for hospitalists lack user-centered designs, relying on paper and memory for tasks. The authors propose prioritizing data entry and presentation apps to improve continuity in hospital-based medicine.
The NYU Tandon team is developing an AI 'virtual assistant' to provide just-in-time visual and audio feedback for complex tasks. The project aims to create a dynamic intelligent agent that engages with users, responding to their emotional state, location, and surrounding conditions.
A new study by Cornell University found that moving professional conferences online reduces the global event industry's carbon footprint by 94%, and shifting to a hybrid model cuts it to 67%. The annual carbon footprint of the industry is comparable to the yearly greenhouse gas emissions of the entire US.