Articles tagged with Systems Engineering
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.
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.
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.
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.
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.
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.
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.
A new planning formula, adapted from the Real Options Approach, aims to transform the Royal Australian Navy's fleet management. The model assesses multiple future scenarios, reducing risk of overinvestment or premature commissioning.
A new end-to-end framework, DarkAD, enhances anomaly detection in low-light environments by introducing a feature adapter that reduces noise and amplifies critical features. The model outperforms other state-of-the-art models in detecting subtle anomalies with high accuracy and speed.
FAU CA-AI will acquire NVIDIA infrastructure for generative physical AI and develop state-of-the-art hardware and software for computational T&E of connected AI autonomy. This funding solidifies FAU's role as a national leader in next-gen networked AI autonomous systems research.
Researchers from Saarland University are developing novel air conditioning technology using elastocaloric effect, which can cool and heat more sustainably than current systems. The aim is to commercialize the technology within five years.
Researchers at Universidad Carlos III de Madrid developed video games 'Peter Jumper' and 'Andromeda' to promote hand and wrist rehabilitation. The system also measures grip strength and stores patient data for analysis, showing encouraging results in improving range of motion and grip strength up to 100%.
Daniel G. Graham, author of 'Ethical Hacking', has contributed expertise to the new edition of 'Metasploit: The Penetration Tester's Guide'. This comprehensive resource covers key topics such as penetration testing in cloud environments and advanced evasion techniques.
Researchers at North Carolina State University have developed a new technique to improve the efficiency of food-delivery operations. The technique accounts for key factors such as food supply, location, and vehicle capacity to determine optimized routes that make food delivery faster and more fuel-efficient.
Researchers develop a new framework called MSF-Net to improve WiFi-based human activity recognition, achieving high accuracy scores compared to state-of-the-art techniques. The technology has potential applications in smart homes, rehabilitation medicine, and care for the elderly.
Researchers at UC3M developed a new soft joint model that enables versatility of movement, adaptability, and safety in robots. The asymmetrical triangular structure allows for greater bending angles with less force, providing operational protection and increased safety in human-robot interactions.
Dental implant surgeries require optimal mechanical stress levels for successful bone healing and long-term implant success. Researchers are developing a hybrid biomechanical model using machine learning to provide precise, patient-specific predictions of mechanical stress.
The University of Bath's RENEW research center has published a manifesto on regenerative design and engineering to address the climate crisis. The guidebook provides a framework for creating 'Net Positive' buildings, technologies, and systems that renew unity with nature.
Researchers at SeoulNational University of Science & Technology propose two new designs for energy-efficient vibration energy harvesters that boost power output and efficiency. The designs use a repulsive magnet pair, yoke, and optimized coil placement to maximize magnetic flux change, leading to higher power generation.
A new method predicts the makeup of municipal solid waste with unprecedented detail, allowing waste managers to forecast specific materials and plan accordingly. This improvement enables more efficient recycling and landfill operations, making sustainable waste management a practical reality.
Researchers found that female locust's digging valves wear down significantly despite being used only 3-4 times in a lifetime. The study demonstrates the 'good enough' principle in evolution, where extra resources are not invested in organs with specific purposes performed adequately.
NCSA launches Harbor, a fast storage service for global home and software directories, boosting Delta system performance by 400%. Consolidating file systems to VAST namespace improved uptime, load times, and user experience. With Harbor and VAST Data Platform, NCSA achieves scalable and efficient AI infrastructure.