Articles tagged with Systems Engineering
Tiantian Yang aims to develop an integrated solution addressing precipitation variability and uncertainty with a novel AI and data mining tool. His research will be tested in collaboration with U.S. agencies, aiming to better inform water management decisions.
Researchers at MIT create a novel approach to building deformable underwater robots using simple repeating substructures. The system can assemble into various shapes and sizes, offering scalability and efficiency improvements over current technologies.
The University of Texas at El Paso has received a $1.25 million grant from the US Department of Energy to create a pipeline of scientists and engineers from underrepresented groups with expertise in modeling and simulation. The project aims to recruit, train, and develop diverse talent for advanced research and development in M&S.
Researchers at Tokyo Metropolitan University have developed a new calibration algorithm for HumTouch technology, which converts AC hum noise into touch location data. The algorithm improves accuracy and speeds up calibration, enabling nearly any surface to be turned into a touch sensor with high precision.
Researchers from Waseda University measured the energy spectrum of boron and the B/C flux ratio in high-energy cosmic rays using the CALorimetric Electron Telescope. The results indicate a different spectral index for boron compared to carbon, with implications for our understanding of cosmic ray propagation mechanisms.
The 30-year history of metabolic engineering has progressed significantly, enabling microorganisms to efficiently produce chemicals and degrade recalcitrant contaminants. Recent breakthroughs in systems metabolic engineering and data science have driven advancements in sustainability and health.
Researchers have identified the need for standardization of performance indices and a single frame for normalization methods to address concerns with bioelectrochemical systems. The study proposes strategies for up-scaling BES technologies, enabling resource recovery through on-site treatment of wastewater at an efficiency comparable t...
Researchers have developed a novel substrate boosting square-tensile-strain, promoting four-variant spontaneous polarization and defect-dipoles. This breakthrough enables reversibly controlled ternary polar states and ferroelectric bias.
A new optical coating system combines antifogging and antireflective properties, enhancing the performance of lidar systems and cameras. The technology, developed by Fraunhofer Institute for Applied Optics and Precision Engineering, has been tested in laboratory tests and has shown promising results.
A new method to detect groups of anomalous users has been developed by a Ben-Gurion University researcher, which can work on any network or platform. The method, known as Co-Membership-based Generic Anomalous Communities Detection Algorithm (CMMAC), uses network structural properties to identify unusual online behavior.
Researchers at Pusan National University have developed a highly efficient sodium-ion battery anode using quinacridones, exhibiting high rate capability and excellent cycle stability. The new material is cost-effective and sustainable, offering a promising alternative to traditional graphite anodes.
Researchers have developed a quantum computing architecture that enables directional photon emission, the first step toward extensible quantum interconnects. This breakthrough enables the creation of larger-scale devices by linking multiple processing modules along a common waveguide.
Researchers have developed a technique to record cellular events in a long protein chain, allowing them to reconstruct the timing of gene activation, response to drugs, and other processes. This method has potential applications in understanding memory formation, aging, and disease progression.
Researchers at UTA create high-tech solution to exterminate fire ants without using toxic chemicals. The innovative approach uses a combination of sensors and microorganisms to detect and eliminate fire ant colonies.
Research by Cornell University reveals that biodegradable medical gowns release harmful emissions due to faster decomposition rates. The study suggests adopting landfill gas capture and utilization processes to reduce greenhouse gas emissions and toxicity.
Researchers at Argonne National Laboratory develop a new method to create crystalline materials with two or more elements, yielding previously unknown compounds with exotic properties. The discovery has potential applications in superconductors, energy transmission, high-speed transportation, and energy-efficient microelectronics.
Researchers at the University of Central Florida have created a technology that converts radio frequency signals into direct current electricity, reducing the need for batteries in wireless systems. This innovation can help promote a more sustainable future by harnessing ambient energy from radio waves.
Researchers developed a simple and accurate method for markerless gait analysis, combining RGB camera-based pose estimation with IMU sensor data. The new technique outperformed existing methods in measuring gait parameters and joint angles, showing significant promise for clinical settings and diverse applications.
Researchers at FAU and industry partners aim to create a universal radio adapter for seamless and secure operations through non-cooperative indigenous 5G networks. The project aims to reduce interception, disruption, or jamming of communications over 5G networks.
Researchers at University of South Australia have developed a non-contact system to accurately measure systolic and diastolic blood pressure using AI algorithms and a camera. The system achieved 90% accuracy in readings, outperforming existing methods.
Researchers at Texas A&M University engineered DARPins to block the interaction between the COVID-19 virus and host cells, significantly reducing disease progression. The nasal sprays showed effectiveness against various variants, including omicron, and could provide a lower-cost therapeutic option for those at high risk.
University of Missouri engineers are working on a collaborative human-robot order picking system to speed up the online delivery process. The proposed model aims to optimize key decisions in warehouse operations, allowing robots to navigate efficiently and collaborate with humans to increase efficiency.
The University of Manchester's Centre for Robotics and AI will focus on interdisciplinary research, exploring applications of robotics in extreme environments and the intersection of AI and humanity. The centre aims to develop robots that can work safely in hostile zones, such as nuclear decommissioning sites.
Researchers develop CRISPR-Cas systems associated with transposons to rewrite large chunks of DNA in organisms like E. coli. This expands the CRISPR toolbox for flexible genome editing and has significant implications for therapeutics, biotechnology, and agriculture.
A team of researchers used molecular dynamics simulations and electrochemical 3D atomic force microscopy to study the electric double layer structure of an ionic liquid on crystalline electrodes. They found that intermolecular interactions among cations and anions are stronger than electrode-specific interactions, proposing a key descr...
The article discusses the selection of propulsion systems for deep-space exploration, focusing on micropropulsion technology. Key findings include the analysis of various micropropulsion modules, including cold gas and chemical propulsion systems, as well as their applications in different missions such as lunar exploration and Tianqin...
Researchers from Dalian Institute of Chemical Physics have engineered yeast to produce sclareol at high levels by rewiring its isoprenoid biosynthetic pathways. This enables efficient synthesis of the Ambrox precursor without laborious purification procedures.
Researchers demonstrate world's first 55-mode transmission at 1.53 petabits per second, outperforming previous records by three times in spectral efficiency. The technology holds promise for future high-capacity backbone networks and the development of Beyond 5G infrastructure.
Researchers at North Carolina State University developed a CRISPR-based system that uses engineered bacteriophages to deliver genetic payloads to specific bacteria, even in complex environments. This technology enables precise single-letter changes to the genome without double-strand DNA breakage.
Researchers from Tokyo Metropolitan University developed a VR system that enables users to share their visual and sensory experiences on Segways with remote collaborators. The system reduced VR sickness by 54% and improved user experience, promising new possibilities for remote collaboration.
Researchers at Texas A&M University used functional near-infrared spectroscopy to monitor participant responses during human-robot collaborations. They found that faulty robot actions decreased operator trust and associated it with increased brain activity in the frontal, motor, and visual cortices.
A team of CSU researchers has designed a model that can predict which buildings will survive a wildfire, allowing for more effective fire mitigation strategies. By analyzing community networks and incorporating graph theory, the model achieves accuracy rates of up to 86% in predicting building survival.
Researchers developed a machine learning model to analyze how susceptible overhead transmission lines are to damage from back-to-back natural hazards. The study found that previous damage can have a significant impact on the fragility and reliability of power grids, especially when followed by a hurricane.
A research team at POSTECH developed a skin-attachable microphone sensor that clearly detects voices even in harsh noisy environments. This technology can be used for disaster-response communication between medical professionals wearing protective equipment and firefighters wearing gas masks.
Researchers from NC State University have developed a dynamic computational tool to help improve user access to electric vehicle (EV) charging stations. The technique accounts for factors such as charging time, cost, and wait times to provide users with the most convenient options.
A new CNN framework, PE-Net, is proposed for predicting machine remaining useful life (RUL) accurately. The framework uses a novel architecture with small-sized one-dimensional convolution kernels and deep networks to learn features from input time series signals.
Researchers developed computational models to identify massage businesses at risk of violating laws related to sex and labor trafficking. The models provide probability scores on the likelihood that a business is engaged in illegal activity, allowing law enforcement and organizations to prioritize investigations.
Scientists explore the dynamics of soft materials like toothpaste and hair gel using X-ray photon correlation spectroscopy (XPCS). The technique reveals microscopic dynamics and helps understand properties like viscosity and elasticity. Insights gained can aid in designing consumer products, nanotechnologies, and drug delivery systems.
The NTU-developed wind harvester generates a voltage of three volts at wind speeds as low as two meters per second, powering commercial sensor devices. The device can also store excess charge for extended periods in the absence of wind, serving as an alternative to smaller lithium-ion batteries.
Researchers detected a spectral softening around 10 TeV in the high-energy cosmic ray proton spectrum, suggesting the proton energy spectrum is not consistent with a single power law variation. The study contributes to understanding of cosmic ray acceleration by supernovae and propagation mechanism.
A team of researchers at Harvard University has developed an ionic circuit that performs analog matrix multiplication, a key operation in neural networks, using ions in liquid. The breakthrough uses a pH-gated ionic transistor and expands to a 16x16 array for more complex computations.
A recent grant will fund a project developing new hardware for machine learning, aiming to curb unsustainable energy use in AI systems. The new algorithms being developed are made available to the research community and compatible with an openly shared computing platform.
A new study published in Joule provides energy systems models for quickly eliminating EU and UK dependence on Russian natural gas. Researchers at Binghamton University offer several paths to achieve this goal, which could help mitigate the ongoing crisis.
Researchers used the Advanced Photon Source to study asteroid fragments from Ryugu, finding they were made of water and carbon dioxide ice. The analysis suggests the asteroid formed over 4 billion years ago in the outer solar system, with a hydrated interior and dryer surface.
Researchers aim to create intelligent drones that can autonomously inspect coal waste storage facilities, detecting cracks and deformities with thermal and visual images. The drones will be equipped with AI-based software to identify potential hazards, providing a faster and long-term solution to prevent environmental damage.
Researchers developed a machine learning algorithm that can generate a continuous 3D model of cells from a partial set of 2D images. The neural field network learns a mapping from spatial coordinates to physical quantities, allowing for smooth zooming and no pixelation.
A new study by Cornell University researchers suggests that green policy incentives for carbon capture and renewable energy can help reduce the environmental impact of cryptocurrency mining. States with lower electricity prices and a higher share of renewable energy in their grids are best suited for this approach.
Researchers designed an integrated system to support joint operations between UAVs and mobile robots for surveillance, epidemic prevention, and rescue operations. The system aims to improve public safety while ensuring privacy and security.
Researchers have developed a new safety system for CAR-T cells, called VIPER CAR-T cells, that can be turned on or off. This allows doctors to target cancer more aggressively while minimizing side effects. The new system uses an FDA-approved antiviral drug to control the cell's activity.
Rice University researchers have received three NSF grants to develop tools and techniques for improving wireless communications. The projects focus on creating more efficient sensing and communication technologies, as well as protocols for resilience in the face of natural or human-induced disasters.
Xiu Yang, a 2022 NSF CAREER award recipient, is working on an algorithmic approach to model and overcome hardware errors in quantum computing. He aims to enable the technology to achieve its promise of unparalleled speed in solving complex problems.
Researchers create textile-based pneumatic computers capable of digital logic, onboard memory, and user interaction. The technology aims to assist people with functional limitations in daily tasks without electricity.
The NYU WIRELESS research center will pioneer basic measurements of devices, circuits, materials, and radio propagation channels at the highest reaches of the radio spectrum. The team will study propagation and channel modeling, as well as RFIC on-chip measurement capabilities up to 500 GHz.
Researchers developed a digital health system approach to enhance clinical decision-making for low-back pain sufferers. The system combines self-reported pain measures with precise motion-sensing data, revealing functional improvements only after six months of surgery.
Researchers at Rice University have developed cells that can store and process information similar to computer RAM. The cells will be programmed to synthesize redox-active molecules that carry information to and from the outside world, allowing for quick read and write capabilities.
Bhattacharya's project uses topological abstraction to reduce complexity in robotic systems, enabling more efficient and accurate motion planning. The approach has potential applications in industries such as transportation, manufacturing, and healthcare.
Engineers developed a machine learning algorithm that can detect and correct wide variety of errors in real time, learning from other machines' experiences. The algorithm enables 'driverless' printers to work for multiple parts, materials, and printing conditions.
The new Engineering Research Center for Smart Streetscapes (CS3) will advance the future of smart streetscapes with cutting-edge technologies. The center aims to improve quality of life, enhance social equity, and stimulate economic development through innovative smart city solutions.
Researchers at Washington University in St. Louis developed a new imaging tool that uses optical coherence tomography (OCT) and machine learning to detect and classify cancerous tissue samples with high accuracy. The technique, which was tested on patients in a trial, showed a 93% diagnostic accuracy rate.
The Madrid Flight On Chip (MFOC) project has successfully implemented advanced technological products and introduced disruptive changes in the design and verification of complex space systems. The project, which ran for over three years, focused on Multi-Processor System on Chip (MPSoC) components and aimed to reduce testing costs.