Systems Engineering
Articles tagged with Systems Engineering
Chang studying predictive resilient chain intelligence
Engineers track eye movements to advance student simulation training, enhance clinical preparedness in Meridian
Researchers are using eye-tracking technology at MSU-Meridian to study how students process and respond in high-pressure training scenarios, helping design the next generation of medical training tools. The project aims to identify key gaps in student performance and improve clinical outcomes by comparing data with clinical professionals.
Researchers create tool to help hunger-relief groups deliver food more efficiently
A new optimization framework helps food banks deliver food more efficiently by accounting for variables such as food availability and household demand. The tool has been incorporated into an app that can also be used by businesses to address delivery logistics challenges.
Researchers find smarter lighting could cut home energy use by 15%
Researchers found that improved lighting design combined with modern LED technology can reduce household energy use and enhance comfort. The study showed a 15.3% reduction in energy consumption by optimising lighting planning and positioning using software-based approaches.
JMIR report: Can digital twins fix hospital patient bottlenecks?
The report highlights the operational wins of health systems utilizing digital twin technology, including reduced ER wait times, increased patient throughput, and optimized surgical blocks. Successful deployment depends on data integrity and a shared definition of reality across the organization.
Texas A&M opens world’s largest academic controlled-explosions lab
The new facility enables scientists to observe and measure detonation forces in unprecedented detail, shedding light on industrial safety risks and potential breakthroughs. Researchers aim to develop safer designs and protocols by examining detonation disasters like the Buncefield Fire.
Quaise Energy on track to build world’s first power plant using superhot geothermal energy
Quaise Energy is building the world's first power plant using superhot geothermal energy, with the goal of producing at least 50 megawatts of clean electricity. The project aims to harness temperatures greater than 300 degrees C and validate its long-held hypothesis that higher subsurface temperatures can improve power production.
Smart implants at Hannover Messe: How robotic micro-actuators are enhancing bone healing
Researchers at Saarland University are developing smart implants that can continuously monitor and visualize the healing process of fractures. These customized implants can dynamically adapt to the healing process by becoming stiffer or more compliant as required, promoting bone regeneration through micromechanical stimulation.
Hannover Messe: Thin polymer films – the material behind a new generation of pumps
Researchers at Saarland University have developed a new class of miniature actuators using ultrathin silicone film-based pumps. The pumps can operate without motors, compressed air, or lubricants and can be switched on and off as needed.
Energy-efficient cooling elements from a 3D printer: Elastocaloric cooling systems at Hannover Messe
Researchers at Saarland University have developed energy-efficient geometries for elastocaloric cooling elements using 3D printing. The technology uses shape-memory alloys to release heat when stretched and absorb it when released, promising a cleaner alternative to traditional cooling methods.
Researchers test a two-way brain interface with wearable robotic legs that could one day restore walking and sensation after paralysis
Researchers at USC, Caltech, and UC Irvine have developed a two-way brain interface that allows patients to control wearable robotic legs using their thoughts. The system accurately detected brain signals indicating the intent to walk about 92% of the time and restored walking sensations with about 93% accuracy in an early proof-of-con...
AI tracks motor heat in real time – enabling more efficient electric drives without extra sensors
A research team at Saarland University has developed an AI-assisted method to determine temperature distribution inside a running electric motor in real time, without additional hardware. The system uses motor-condition data extracted from electromagnetic fields and can detect thermal overload and optimize power regulation.
Hannover Messe: Electronic switches made from smart polymer films – a first step towards flexible circuit boards
Scientists develop a new generation of energy-efficient transistors made from thin, lightweight electrically conducting films. The film-based switch can control the flow of electric current with high precision, enabling complex motion sequences or fixed positions.
Do you trust me? A framework for making networks of robots and vehicles safer
Researchers propose a foundational framework to help multi-agent, connected systems decide what information they can trust before acting. The 'cy-trust' concept assigns a numerical trust value between 0 and 1 to data from other agents based on sensing, context, network behavior, and past experience.
PolyU research unveils mechanoelectrical perception in sea urchin spines, empowering next-generation biomimetic sensors
A research team led by Prof. Wang Zuankai has discovered the mechanism behind mechanoelectrical perception in sea urchin spines, which allows them to detect water flow instantly. The team has developed a bionic metamaterial sensor using gradient porous structure and 3D printing, holding promise for sensing technology breakthroughs.
AI could prevent construction delays before they happen, study finds
A new study proposes a framework for connecting AI risk prediction systems with scheduling platforms to detect emerging risks and adjust project plans before delays occur. This approach aims to close the gap between early warning and actionable response, enabling more resilient project delivery.
Turning down the heat
A University of Houston professor has found that tree-like thin films release heat at least three times better than traditional methods, enabling more efficient cooling in AI data centers. The discovery demonstrates the power of physics-aware AI design for validating high-impact cooling solutions.
Mohebbi, Manic, & Aslani receive funding for study of scalable AI-driven cybersecurity for small & medium critical manufacturing
Researchers at George Mason University are developing an AI-driven proof-of-concept for cyber-physical manufacturing to address national security concerns. The project aims to integrate data-driven learning with knowledge-driven modeling for proactive detection and adaptive mitigation of cyber threats.
NTU Singapore launches three new space projects under Singapore’s Space Access Programme
NTU Singapore is launching three new space projects under the Space Access Programme to accelerate the commercialization of space technologies. The projects include an AI-enabled satellite, a nanosatellite testing next-generation solar cells, and another nanosatellite with advanced propulsion systems.
Leading Danish universities join forces to boost innovation capacity
A partnership between University of Copenhagen and Danish Technical University aims to improve Europe's resilience and competitiveness by boosting innovation. The initiative seeks to develop the innovation ecosystem, drive urban development, and attract talent, companies, and investors.
Design and optimization of wide-speed double swept waverider based on curved-cone projection method
The double swept waverider demonstrates outstanding comprehensive performance through numerical simulation verification. It maintains an ideal longitudinal static stability margin of approximately 2%, laying a solid foundation for practical engineering applications.
Why 5G alone may not be enough for tomorrow’s factories
A new hybrid wireless access network called PHWAN has been proposed to improve the performance of smart factories. The framework combines different wireless systems, including 5G, Wi-Fi, and low-power industrial networks, to adapt dynamically to the needs of different machines.
Chonnam National University researchers develop novel virtual sensor grid method for low-cost, yet robust, infrastructure monitoring
A team of researchers from Chonnam National University has developed a novel superpixel-based virtual sensor framework for full-field vibration measurement. The approach offers robust and accurate motion estimation without the need for physical markers or contact sensors, making it suitable for large-scale infrastructure monitoring.
Tapping into whale talk
A Harvard-designed bio-logger captures high-fidelity audio of sperm whale codas, which are later analyzed by machine learning models to uncover structured communication. Recent results show that sperm whales have their own alphabet and use vowels and diphthongs in their language.
CityUHK pioneers breakthrough in 3DIC semiconductor packaging materials
A research team from City University of Hong Kong has developed innovative packaging material solutions using patented chemical additives to control material microstructures. This approach aims to improve the performance and production efficiency of advanced 3DIC packaging, enabling faster and more reliable connections in stacked chips.
Researcher Marco Guarnieri receives an ERC Grant to develop the PRIMULA project
PRIMULA project aims to tackle microarchitectural attacks by developing new methodologies for building secure hardware-software systems. The project will advance in two key directions: establishing formal foundations and developing tools for developers.
Can AI read humans’ minds? A new model shows it’s shockingly good at it
A breakthrough AI system called OmniPredict can predict human pedestrian behaviors with unprecedented accuracy, revolutionizing self-driving cars and urban mobility. The model combines visual cues with contextual information to anticipate pedestrians' next moves, reducing the risk of accidents and improving traffic safety.
From the Heartland to the Arctic, Starlink and OneWeb are redefining navigation
Researchers from Ohio State University used Starlink and OneWeb satellites to deliver accurate positioning in the Arctic, reducing errors from over a kilometer to just 27 meters. This technology has the potential to provide reliable navigation alternatives for various industries, including transportation and telecommunications.
Pusan National University researchers develop model to accurately predict vessel turnaround time
Researchers at Pusan National University have developed a new framework for predicting vessel turnaround time by leveraging queuing-based operation indicators. This dynamic approach captures time-varying fluctuations in port operations, offering a more accurate and actionable forecast.
A ship will not go dark even if central control fails – new solution revolutionizes vessel electrical grids
A new study introduces a pioneering power management strategy that prevents ship blackouts by distributing intelligence among devices, allowing them to operate independently. The system is significantly safer, simpler, and more flexible than traditional centralized automation.
The next frontier in clean flight? Jet fuel from city waste
Researchers explore using municipal solid waste as a low-emission, cost-effective feedstock for sustainable aviation fuel, reducing greenhouse gas emissions by 80-90%. The study suggests that adopting municipal solid waste-based jet fuels could save airlines money under carbon pricing systems.
Leading the way in targeted cancer treatment
Researchers at the University of Missouri are exploring the use of extracellular vesicles to target lung cancer. By manipulating these tiny messenger particles, scientists can deliver specific instructions to kill cancer cells while sparing healthy ones.
Pressure makes perfect: ECU innovator refines essential oil production
A new method of essential oil extraction using Instantaneous Controlled Pressure Drop (CID) technology has been developed to overcome traditional limitations. This process enhances heat and mass transfer, resulting in higher-quality oils with lower energy consumption.
Singapore and Denmark pioneer sustainable cooling for megacities, supported by US$9.4 million from Grundfos Foundation
The SWiM project aims to develop intelligent and sustainable cooling systems that can reduce energy consumption in large cities by up to 30%. The system will use district heating and cooling technologies, combining expertise from Singapore and Denmark.
Paul Motzki receives one of Europe‘s most prestigious research grants to develop innovative cooling systems
Professor Paul Motzki is developing ultra-flat, compact, and lightweight cooling units using shape memory alloys and dielectric elastomer actuators. He aims to create climate-friendly and energy-efficient alternative to conventional systems.
SeoulTech scientists develop ultra-lightweight memory manager that transforms embedded system performance
Researchers at Seoul National University of Science & Technology developed LWMalloc, a lightweight and high-performance dynamic memory allocator for resource-constrained environments. The new allocator outperforms ptmalloc by achieving up to 53% faster execution time and 23% lower memory usage.
Smarter robot planning for the real world
Vasile's research aims to map and model an agent's capabilities, particularly in motion, manipulation, and perception, to reliably predict their behavior. The goal is to use this understanding to plan effectively for large teams of agents.
New book unveils roadmap for sustainable and ethical leadership in engineering management
The book provides a roadmap for sustainable and ethical leadership in engineering management, focusing on ESG reporting, CSR integration, and industry-specific insights. It offers practical tools and strategies for professionals to make informed decisions that reduce ecological impact and improve resource efficiency.
Bridging the gap between solar intermittency and reliable power: Dual-level design extends battery life and optimizes costs
Researchers develop hybrid energy storage system to address solar intermittency challenges. The dual-level design combines lithium-ion batteries with supercapacitors to extend battery lifespan and optimize costs.
Muscle-inspired sheet-like robot navigates the tightest spaces
Developed by a research team at POSTECH, the robot uses human muscle proteins as inspiration to generate strong force while navigating through tight spaces. The technology has potential applications in various fields, including medical settings, industrial environments, home cleaning, and caregiving robots.
Lisa Maillart named Department Chair of Industrial Engineering at Pitt
Lisa Maillart, PhD, has been named Department Chair of Industrial and Systems Engineering at the University of Pittsburgh Swanson School of Engineering. She aims to expand the department's growth in enrollment and guide interdisciplinary research on challenges like AI, health issues, and supply chain logistics.
Hypergraphs are worth the hype
Hypergraph research aims to improve network resilience by analyzing multi-way relationships, enabling more accurate representations of complex systems. By modeling projects within Texas A&M University as hypergraphs, researchers can depict interconnectedness and how individual work affects the entire system.
JuggerBot 3D, ORNL to expand possibilities for pellet-fed 3D printing
The collaboration aims to increase print quality and consistency for large-format 3D printing, enabling applications in hydroelectric dams, oil and gas industries, and more. ORNL's slicing software and JuggerBot 3D equipment will be refined to process thermosets independently and simultaneously.
Advancements in vortex particle method enable stable simulation of high Reynolds number flows and shear turbulence
Researchers developed a Stability-enhanced VPM that addresses numerical stability issues, enabling accurate simulations of complex flows. The method demonstrates improved stability and accuracy in simulating high Reynolds number flows and shear turbulence.
The essential characteristics of deflagration-to-detonation transition process
Researchers identified four distinct DDT initiation pathways and the essential characteristics of the DDT process. The team's experiments revealed that energy focusing creates a local hot spot, which then transitions into a detonation wave.
Vibration suppression and control for detumbling satellite: A novel approach for on-orbit servicing
Researchers developed an innovative NES-AVS device with real-time stiffness adaptation, achieving 84% reduction in flexible rod tip displacement. The composite controller ensures robust detumbling control and high efficiency during detumbling processes.
Development of a quality design method for real-time videos from uncrewed aerial vehicles
A new design method, SPADE, evaluates UAV video surveillance system quality without real-world manipulations. It assesses the impact of image resolution on object detection performance., The SPADE method can be applied to various UAV systems and will aid in designing complex large-scale systems involving multiple UAVs.
Vision-based swarm tracking of multiple UAVs in air-to-air scenarios
A research team has proposed a novel algorithmic framework that leverages multi-frame spatio-temporal features to track swarm UAVs in air-to-air scenarios. The method achieves state-of-the-art performance across several datasets and demonstrates its suitability for real-world drone swarms.
Capturability distinction analysis of continuous and pulsed guidance laws
Researchers at Beihang University derived capture zones of pulsed and continuous guidance laws for both pursuer and evader, highlighting their differences and influence factors. The study provides a theoretical guideline for guidance law selection in various pursuit-evasion games.
AI innovation at UBC Okanagan helps shipping ports see what’s coming—literally
A UBC Okanagan research team has developed TrajReducer, an AI system that accurately predicts vessel destinations by analyzing ship trajectories and patterns. This technology can help Canadian ports adapt quickly to global supply chain disruptions and improve operational efficiency.
Breakthrough rotor model enables safe transitions for aerial-aquatic vehicles
A research team developed an advanced adaptive aerodynamic model inspired by finite vortex theory to predict rotor performance in complex two-phase flow environments. The Finite Vortex Rotor Model (FVRM) incorporates water surface deformation and accounts for the complex feedback between rotor downwash and liquid response.
How do different types of jets control dynamic stall?
A study published in Chinese Journal of Aeronautics reveals that DSJ combines the stability of steady jets and efficiency of pulsed jets, providing better control effects under similar momentum coefficients. The unique quasi-steady characteristics of DSJ avoid large fluctuations in real-time aerodynamics.
Remotely controlled robots at your fingertips: enhancing safety in industrial sites
Researchers developed novel haptic devices to enable precise robot control with tactile feedback, reducing collisions and improving user proficiency. The devices integrate digital twin technology and augmented reality for enhanced immersion.
Innovative solution tackle spectrum sharing challenge for co-located pulse radar and communication systems
A dynamic spectrum and power allocation method, developed using a genetic algorithm, enables efficient sharing of frequencies between airborne pulse radar and communication systems. The method achieves up to a 22% improvement in radar detection probability while increasing the communication system's throughput.
Novel method for satellite 3D component layout optimization based on mixed integer programming
Researchers developed a mixed integer programming model to optimize satellite 3D component layout, improving design efficiency and efficacy. The model solved the complex bilevel optimization task in a single run, finding globally optimal solutions within reasonable timeframes.
UCF’s ‘bridge doctor’ combines imaging, neural network to efficiently evaluate concrete bridges’ safety
Researchers at UCF used a combination of emerging technologies to evaluate the safety of concrete bridges. By combining infrared thermography, high-definition imaging and neural network analysis, they can quickly identify defects and prioritize repairs.
Scientists achieve plastic warm metalworking in previously brittle semiconductors
Researchers achieve plastic warm metalworking in previously brittle semiconductors, enabling efficient and cost-effective manufacturing of high-performance electronic devices. The new technique unlocks new opportunities for scalable fabrication of thermoelectric devices with improved performance.
The buried treasure in your old smartphone
Researchers at Texas A&M University are developing a new method to recover rare earth elements from old electronics, such as tablets and phones, using solid-phase extraction technology. This method aims to reduce energy use, cut down on solvents, and streamline the process, making it more environmentally friendly and commercially viable.
Transforming hospital sanitation: autonomous robots for wiping and UV-C disinfection
Researchers developed an intelligent autonomous robot capable of automating hospital disinfection processes through dual disinfection system, increasing efficiency and precision. The robot's performance was validated through real-world testing, reducing the risk of infection in hospitals.