Articles tagged with Systems Engineering
A new model developed by Skoltech researchers optimizes satellite radar system design, balancing performance characteristics with other mission parameters. The study identifies optimal designs for small satellite platforms, particularly in the 8-12 GHz and 4-8 GHz frequency bands.
Researchers at the University of Waterloo developed AI technology that can identify players by their jersey numbers in hockey videos with high accuracy. The system uses multi-task learning and a large dataset of over 54,000 images from NHL games to recognize sweater numbers.
Engineering researchers at Ohio State University developed a method to use Starlink satellite signals to accurately locate positions on Earth, similar to GPS. The accuracy of this technique is comparable to or even surpasses that of GPS, with the potential to be used as an alternative navigation system.
Researchers developed a computational model to optimize the use of additive manufacturing in spare parts supply chains, finding that centralized systems are more efficient for less frequent demand with high variability. The study's findings provide a step forward in understanding how to incorporate AM technologies into supply chains.
Researchers have developed a new interface technology that can provide natural sensory feedback from robotic prosthetics to amputees, reducing abnormal sensations and cognitive burden. The innovation uses ultra-small recording sites and molecular guidance cues to stimulate sensory axons selectively, improving control of robotic limbs.
Researchers at Tel Aviv University have created a system that enables the production of 'good' bacteria capable of eliminating 'bad' bacteria. This breakthrough technology uses a toxin injection system to target specific types and amounts of toxins, offering an alternative to antibiotics.
The Center for Research on Programmable Plant Systems (CROPPS) aims to integrate plant sciences, engineering, and computer science to improve crop efficiency and sustainability. Researchers will engineer plants that can detect environmental changes and respond to digital signals, leading to more efficient water and nutrient delivery.
Scientists designed loss in optical devices to achieve unconventional physical phenomena, leading to novel methods for optical control and engineering. The team created two whispering gallery mode microresonators with different absorption losses, coupling their fields to achieve coherent perfect absorption.
Research by Binghamton University Assistant Professor Zeynep Ertem found that early social-distancing measures resulted in smaller initial death tolls, but led to larger second waves. The study suggests that different population characteristics, such as urban vs. rural areas, affect disease spread.
Researchers have created a global database of 63 tailings flows since 1928, revealing catastrophic events occur every two to three years on average. The study highlights the importance of understanding water-to-solids ratios and downstream terrain in preventing mass casualties and environmental damage.
Researchers have developed a novel algorithm that improves the speed at which nodes converge on agreement regarding a single data value needed during computation. The technique is based on designing an optimized network topology that reduces communication costs while allowing for adjustable convergence rates.
Scientists at the University of Kent have developed a mathematical formula that describes the shape of any bird's egg in nature. The formula is based on four parameters and can be applied across multiple disciplines, including food research, mechanical engineering, and agriculture.
Scientists at the University of Groningen have created a nanopore system that can measure thiamine (vitamin B1) concentration in urine in under a minute. The system uses an engineered thiamine binding protein and can be adapted to measure other important molecules.
UMass Lowell students have designed and built a miniature satellite, SPACE HAUC, which will be launched into Earth's orbit this fall. The satellite aims to demonstrate fast data transmission technology, and its success will train the next generation of astronomers and space scientists.
Researchers have found exotic topological features in soft matter, a discovery that challenges our understanding of physics. The study reveals that such features are widespread and can be observed in everyday environments, including living organisms.
Scientists have created a system dubbed "NanoporeTERs" allowing cells to express themselves in a whole new light. These new reporter proteins can detect multiple protein expression levels and shed new light on biological systems, enabling deeper analysis than before.
The robotic white cane system combines depth data with a 2D floor plan map to reduce pose estimation errors. It features a novel 'robotic roller tip' interface that allows for automatic mode-switching, making it easier for visually impaired users to navigate.
A team of researchers has created a new algorithm that determines the most efficient route for robots to navigate complex spaces. The RBF-Galerkin method combines two existing approaches to find the optimal solution, surpassing other methods in terms of cost and time efficiency.
Drones are not the only vehicles at the forefront of automating deliveries; researchers have developed a control strategy for ships and partnered tugs to navigate environmental disturbances. The multi-layer, multi-agent control scheme increases efficiency in the shipping process while reducing human error.
Researchers at Duke University have developed a new approach to using sound waves to manipulate tiny particles suspended in liquid in complex ways. The 'shadow waveguide' technique creates a tightly confined, spatially complex acoustic field inside a chamber without requiring any interior structure.
Hailin Li, a WVU engineer, will lead a project to develop a software platform that simulates heavy-duty diesel engines with advanced after-treatment systems. The goal is to improve engine efficiency and reduce exhaust emissions, which will help cut greenhouse gases and pollutants from the transportation sector.
Researchers have developed a way to precisely control defects within active liquid crystals by changing the gradient of activity around them. This can be achieved through pulses of light or chemical composition changes, enabling controlled movement and behavior of these materials.
A new study from Washington University in St. Louis shows that guided by sparsity, silicon neurons learn to pick the most energy-efficient perturbations and wave patterns, enabling an emergent phenomenon of efficient communication between neurons. This research has significant implications for designing neuromorphic AI systems.
Researchers found significant periodic flow velocity fluctuations in fuel injector ignite combustion oscillations, leading to high mechanical stress on the combustion chamber. The findings provide a reasonable answer for why these oscillations occur and have significant implications for preventing fatal damage in critical engines.
The University of Surrey has made significant progress in developing suitable solvents for perovskite inks, which are essential for producing high-quality thin films. This achievement is crucial for improving the power conversion efficiency of perovskite solar cells, as it enables the production of scalable and low-cost devices.
A recent study found that controversial posts on Reddit spread faster and reached more people than noncontroversial posts, with over 60,000 comments on the former. The researchers analyzed over 47,000 posts to understand why controversy can make online content more attention-grabbing.
A new testing capability has been developed at Sandia National Laboratories to simulate multiple environments on a full-scale weapons system, producing richer data and improving test repeatability. This allows engineers to validate weapon design and systems performance more efficiently.
The COVID-19 pandemic accelerated changes in healthcare, including optimized patient flow and the integration of telemedicine. The experience gained will inform future healthcare system improvements.
Five teams have been selected to share $125,000 for developing solutions to reduce byproducts and generate more freshwater from inland desalination plants. The winning teams will receive additional funding and testing opportunities to advance their prototype.
Researchers from the University of Vienna and TU Wien have successfully controlled a large glass sphere's motion at the quantum level using control engineering methods. The experiment, published in Nature, demonstrates the potential for combining quantum physics and control engineering to enable more precise experiments.
Kuo-Chu Chang is developing a knowledge graph-based information sharing system with the US Department of Navy. The project aims to improve communication and collaboration among teams.
Joe Cloud, a UTA doctoral student, has been awarded the prestigious Tau Beta Pi Fellowship for his outstanding research in robotic learning for space and industrial robots. He is working with Assistant Professor William Beksi to develop learning-based methods for safe robot trajectory generation and motion planning.
Researchers from Harvard developed a system harnessing mechanical instabilities in curved beams to create light, compact, and customizable deployable structures. The innovation enables easy deployment of objects into elaborate 3D configurations on various scales.
Researchers at the University of Bristol developed the concept of 'evotype' to capture the evolutionary potential of biosystems. The evotype framework provides a means for bioengineers to control evolution by adjusting variation, function, and selection.
A research group at KAIST successfully produced seven natural rainbow colorants, including carotenoids and violacein derivatives, using engineered Escherichia coli strains. The strategies developed can be applied to the efficient production of other industrially important natural products.
Digital twin technology has the potential to revolutionize healthcare and aerospace by enabling predictive and precision medicine, and enhancing decision-making. However, current digital twins face challenges in scaling, requiring significant investment to overcome technical barriers and improve model accuracy.
A new report recommends implementing the 'Safe System' approach to reduce road deaths and injuries, which has been successful in other countries. The approach prioritizes road design and engineering to minimize mistakes and reduce crash forces.
Distinguished Professor Sang Yup Lee at KAIST was elected as a foreign member of the Royal Society, one of the world's most prestigious national science academies. He is recognized for his pioneering work in systems metabolic engineering and developing micro-organisms for producing fuels, chemicals, and natural compounds.
A machine learning algorithm predicts the life expectancy of critical components in extreme environments. The model is trained on data from electrochemical capacitors operated at temperatures up to 200°C, enabling safe and resilient operations in applications like downhole drilling equipment.
Researchers created a soft mechanical metamaterial that can compute digital logic computations using binary inputs and outputs. The material thinks by reconfiguring its conductive polymer network in response to mechanical force and electrical signals.
Researchers from the University of Calabria developed a predictive control scheme that can identify and protect against replay attacks in distributed networks. The approach uses a 'receding horizon' model to predict future system behavior and detect unexpected events, allowing for swift protection against malicious actors.
A study by University of Virginia researchers reveals that people systematically default to additive strategies, overlooking subtractive ideas. This habit can lead to missed opportunities to improve the world through subtraction, with implications across various contexts, including engineering and policy.
Researchers are developing AI-controlled exoskeletons and prosthetic legs that can think and make control decisions on their own. The system combines computer vision and deep-learning AI to mimic human walking by adjusting to surroundings.
Researchers found a strong correlation between stream conditions and human demographics, particularly along racial lines. Stream quality is linked to mortality rates and cancer rates, highlighting the need for environmental justice. Understanding how people interact with nature is crucial to drawing conclusions about health outcomes.
Researchers at USC Viterbi School of Engineering used living bacteria to create new materials with superior mechanical properties. These materials exhibit exceptional strength, fracture resistance, and energy dissipation, making them suitable for aerospace panels, vehicle frames, body armor, and defense applications.
A team of US engineers has received a $5.8 million NASA grant to create computational design tools for air taxi designs. The project aims to develop safe, quiet, and affordable eVTOL aircraft using advanced design optimization algorithms.
A new system developed by the University of Córdoba's research groups can predict levels of amygdalin in almonds and classify sweet and bitter ones on an industrial scale. The portable equipment uses Near Infrared Spectroscopy (NIRS) technology to analyze nuts quickly and non-invasively.
Researchers at Lehigh University and Iowa State University have developed a hybrid Cuckoo Search algorithm that accelerates computational modeling of complex alloys by reducing search time up to 13,000-fold. This breakthrough enables the creation of physically realizable systems that can be directly compared against experimental samples.
A new center at Clemson University will support research on autonomy-enabled ground vehicles, digital engineering, and virtual prototyping. The project aims to reduce timelines for innovation in the autonomous space and fuel next-wave mobility technologies.
Researchers are developing a flexible simulation-based outer-loop application tool for resilient power grid planning and optimization. The tool leverages scalable parallel processing, adaptive computing budget allocation, and scientific machine learning to predict and respond to disturbances.
A new system called GLINDA allows researchers to capture the unique sound signature of a tornado, improving understanding of its behavior and potential impact on false alarm rates. By measuring infrasound at close range, scientists can gain valuable insights into tornado production and reduce the number of deaths caused by these deadly...
The study uses data-driven techniques and machine-learning architectures to improve the accuracy and efficiency of modeling processes. The researchers found that convolutional neural networks (CNN) and physics-informed neural networks (PINN) have potential in optimizing modeling processes for specific aspects of the solution process.
Researchers at George Mason University are reviewing the Positive Train Control Safety Plan to ensure its alignment with federal regulations. The study aims to confirm the plan's effectiveness in preventing train accidents such as collisions and derailments.
Researchers successfully degrade PET plastic using a two-enzyme system and engineered chimeric enzyme that works synergistically to break down the plastic pollutant. The discovery could lead to new methods for plastics depolymerization, offering an alternative to traditional recycling methods.
Researchers aim to understand online illicit sales of drugs and counterfeit pharmaceuticals by studying supply chains and payment systems. They will use rich corporate datasets to develop new models of illicit supply chains and suggest disruption strategies.
Researchers at UQ and Griffith University use quantum superposition of order to successfully transmit information through two noisy channels. The technique, which can nullify the effect of one noisy medium on another, has potential applications in satellite communication and secret sharing.
George Mason University Professor KuoChu Chang is supporting Intelligent Fusion Technology in developing a Cyber Resilience Integrated Security Inspection System (CRISIS). The system utilizes machine-learning algorithms and digital twin technology to enhance cybersecurity.
A research team led by Thomas LaToza aims to create a community infrastructure for conducting online software engineering user studies. The proposed platform will increase the quality of software engineering tools and techniques, enhancing productivity and effectiveness among software engineers.
Researchers at the University of Missouri studied drivers' responses to collision avoidance systems using open road testing. They identified four behavioral categories: active gaze, self-conscious gaze, attentive gaze, and ignored gaze, which can affect system effectiveness.
The new research system records, reconstructs, compresses, and delivers high-quality immersive light field videos with a lightweight and efficient approach. The team overcomes challenges to create a realistic virtual environment with panoramic views and natural lighting effects.