Articles tagged with Systems Engineering
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.
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.
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.
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.
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.
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.
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 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.
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...
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...
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...
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.
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.
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%.
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.
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 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.
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.
Scientists developed an all-season smart-roof coating that automatically switches between cooling and heating, outperforming commercial cool-roof systems in energy savings. The technology uses vanadium dioxide to regulate its rate of radiative cooling, overcoming the problem of overcooling in winter.
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.
Researchers from Japan have developed a new method to synthesize a pure Si-CHA membrane showing much higher CO2 separation performance than existing membranes. The key to this achievement is using a porous silica substrate instead of alumina, eliminating problems with pore size reduction and improving efficiency.
Washington University researchers have designed a new processing-in-memory (PIM) circuit that can increase PIM computing's performance by orders of magnitude. The circuit uses resistive random-access memory PIM, allowing for analog computations and eliminating the need for digital conversions.
Researchers at Universidad Carlos III de Madrid have designed a system that uses hydrothermal biomass carbonisation and solar power to extract more energy from biomass. The system reduces the need for drying pre-treatment, making it more sustainable and efficient.
Researchers at Hospital Gregorio Marañón and UC3M developed a navigation system combining surgical navigation, three-dimensional photography, and augmented reality to estimate bone fragment positions during surgery. This system has been used on 7 patients with optimal results, reducing dependency on surgeons' experience.
Researchers at University of South Australia are developing a world-first product to design traffic lights that absorb kinetic energy, stopping them from crumpling when hit by a vehicle. The technology has the potential to reduce road safety-related costs and injuries worldwide.
Researchers will develop game theoretic models to optimize financial incentives for water conservation, exploring socio-spatial dynamics of water sustainability. The project aims to understand how water users' propensities for cooperative behavior vary over time across river networks.
Researchers at Durham University have developed a sugar-containing polymer coating that can repair damaged artificial joint implants by mimicking the way cartilage works to lubricate human joints. The coating uses water to create a slippery surface, protecting the surfaces from wear and tear.
Researchers at Singapore University of Technology and Design found that adding carbon emission labels can influence online shoppers to choose more sustainable shipping options. The study showed that slow shipping options result in lower emissions but longer delivery times, with an 81% reduction in emissions possible.
A comprehensive assessment of polyurethane in the US reveals complexities that affect its recovery and recycling. The study highlights opportunities to enhance circularity and increase bio-based content of polyurethanes.
Researchers have designed a digital camera-based system that can accurately detect jaundice in newborns within one second, sending diagnoses to carers via SMS. The system uses image processing techniques to detect bilirubin levels, triggering blue LED phototherapy and treatment.
The University of Huddersfield's Institute of Railway Research has won a prestigious prize from the Institution of Mechanical Engineers (IMechE) for its 'Low Adhesion Braking Dynamic Optimisation for Rolling Stock' (LABRADOR) simulation tool. This tool allows for the study of specific brake control features and prediction of train brak...
Scientists at ORNL developed a scalable, low-cost method to improve materials joining in solid-state batteries, resolving one of the big challenges in commercial development. The electrochemical pulse method increases contact at the interface without detrimental effects, enabling an all-solid-state architecture.
Researchers from academia and industry will converge at Lehigh University to discuss innovative solutions for optimizing efficiency and resiliency in the global supply chain. The workshop aims to leverage machine learning for prescriptive analytics, enabling proactive optimization of supply chain operations.
A team of engineers at the University of Arizona is using machine learning methods to monitor and mitigate defects in additive manufactured metal parts designed for use in extreme environments. The system combines data processing, process optimization, materials analysis, and machine learning to predict defects.
Optical coherence tomography (OCT) has significant growth potential across various medical applications, including cardiology and dermatology. Miniaturized OCT systems are expected to revolutionize healthcare with compact, mobile, and cost-effective devices.
Researchers from South Ural State University created a hybrid intelligence system that can predict pile bearing capacity with high accuracy. The system, developed by combining adaptive neuro-fuzzy inference system and group method of data handling, outperformed traditional methods and provided close to measured values.
Researchers are developing insect-like robots for agriculture, mining, and space exploration using dynamic force sensing and agile movement. The goal is to create robots that can navigate difficult terrains and interact safely with humans.
A team of researchers at Penn State developed a new approach to personalize fitness tracker messages to improve motivation and physical activity. They used control systems engineering tools to tailor motivational messages based on individual user behavior, weather, and goals. The study aimed to establish the effectiveness of precision ...
Researchers at the University of Virginia and Penn State are developing a new hardware platform called FerroCoDE that can generate solutions for complex problems more efficiently. The platform uses analog computing to exploit the spatial-temporal properties of oscillators and their synchrony.
Researchers at JILA have enhanced the sensitivity of their decade-old frequency comb breathalyzer to detect four biomarkers of disease in human breath. The upgraded system can also identify six additional chemicals, with potential implications for COVID-19 testing and real-time health monitoring.