Articles tagged with Systems Engineering
Researchers propose a user penalty-and-reward system to curb long lines caused by inefficient human queuing behavior. By incentivizing users to choose alternative routes, the system aims to balance congestion with addressing user needs.
A European energy system model determines that a uniform benchmark for vehicle charging infrastructure is not optimal, as the cost-optimal level varies by country. Customized targets for EU member states can unlock benefits through smart charging technologies like V1G and V2G.
A University of Houston engineer developed a real-time safety system for quadrotor drones that can prevent accidents caused by unexpected events. The new technology uses a 'safety supervisor' module to monitor the drone's tilt and position in real time, ensuring it stays within safety limits.
Researchers developed EleTac, a soft robotic gripper with high-resolution tactile sensing, to handle delicate objects. The gripper's innovative design enables it to adapt to various shapes and provide gentle forces, making it suitable for applications such as handling fruit, lab samples, and medical supplies.
Researchers create self-regulating electrolyzer that produces solar fuels stably without relying on batteries, reducing costs and complexity. The new system autonomously adjusts its electrical behavior through thermal properties, keeping fuel production stable throughout the day.
Javad Khazaei's research focuses on developing a novel geometry-based predictive control paradigm for distributed energy resources in power systems. By simplifying complex nonlinear systems using reduced-order modeling, his approach aims to slash data requirements and computational burden while maintaining accuracy. This work has promi...
Researchers at FAU's CA-AI are developing machine learning technologies to enable autonomous systems to sense, learn, and act in coordination. The project aims to overcome the challenge of individual smart systems failing to collaborate effectively as part of a network.
Kuo-Chu Chang, a professor at George Mason University, has received funding for the 'PRECISION' project. The research focuses on developing AI-powered techniques to enhance supply chain resilience through predictive analytics and knowledge graph-based reasoning.
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 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.
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.
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.
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 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.
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.
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 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.
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...
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.
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.
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.
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.
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.
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.
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 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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, 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.