Articles tagged with Systems Engineering
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.
The university introduces Bachelor of Engineering in Robotics and Double Major Bachelor of Engineering Science in Process Engineering and Synthetic Chemistry to address global demand for roboticists. The programs incorporate AI-related elements and are designed to provide students with a unique skill set.
Research from an interdisciplinary team at Virginia Tech has shown that sewage surveillance is more efficient and comprehensive than testing individuals in detecting antimicrobial resistance. The study revealed significant correlations between antibiotic resistance genes and socio-economic factors, highlighting the need to address thes...
Southwest Research Institute (SwRI) will help the US Air Force modernize methods to sustain three fleets of military aircraft, including the T-38 Talon, A-10 Thunderbolt II, and B-52 Stratofortress. The institute's analyses will aid in determining when structural repairs are necessary.
A team of University of Houston engineers developed an AI tool to predict and control pandemic spread by analyzing international air travel. The analysis found that reducing flights in Western Europe can lead to fewer global COVID-19 cases, making it a key strategy for controlling the pandemic.
Researchers have developed functional interlocking metasurfaces that offer more structural strength and stability than traditional techniques like bolts and adhesives. These metasurfaces can selectively disengage and re-engage on demand while maintaining consistent joint strength.
Virginia Tech researchers publish real-time data to better understand what happens when people lose their balance. The study uses wrist-worn voice recorders to capture immediate, self-reported data from participants, providing a more reliable understanding of the circumstances surrounding balance loss among older adults.
Researchers at Cornell University found that integrating AI into environmental control systems can reduce energy consumption in indoor agriculture by up to 25%. By optimizing lighting and climate regulation, AI helps create an energy-efficient solution for optimal plant growth, carbon dioxide levels, and ventilation requirements.
Researchers found that sustained neck exertions alter the cervical spine's curvature, leading to muscle fatigue and increased risk of neck pain. The study provides new insights into the mechanical changes that occur in the spine and muscles when performing repetitive tasks.
The new ERC EARTH research center will focus on developing sustainable refrigerant technologies and practices to improve quality of life and combat climate change. Lehigh University's team, led by David Vicic, will work on reclamation and repurposing of high-GWP legacy refrigerants.
The WVU team, led by Yu Gu, is testing Loopy's ability to 'co-design' itself and learn to mark contaminated areas. Inspired by natural phenomena like ant swarms and tree roots, Loopy changes form in response to its environment.
Researchers at the University of South Australia have developed an AI sensor that can accurately measure the orientation of the Milky Way in low light, using a technique inspired by the dung beetle. This system could improve navigation for drones and satellites in difficult lighting conditions.
The new battery can capture oxygen from air and use it to oxidize zinc, creating a current of up to 1 volt. It powers an actuator, memristor, clock circuit, and sensors, making it ideal for robotics and medical applications.
Researchers propose a leaf-inspired luminescent solar concentrator (LSC) design to overcome scalability limitations. The innovative setup enhances photon collection and transfer, improving efficiency and reducing self-absorption issues.
Rice University professor Ashutosh Sabharwal leads a project to design and develop an open-access software-defined radio system for 6G wireless networking, imaging, and sensing. The system will support diverse bands and enable research communities to explore new directions in wireless technology.
Texas A&M researchers are investigating the use of extracellular vesicles to deliver immune-suppressing proteins, potentially reducing the immune system's attack on insulin-producing beta-cells. The goal is to develop a novel treatment for type 1 diabetes, which currently has only lifelong insulin therapy as an approved option.
Researchers at Soochow University introduced coherence entropy as a global characterization of light fields subjected to random fluctuations. Coherence entropy remains stable during the propagation of light through complex media, making it a robust indicator of light field behavior in non-ideal conditions.
A research project, ACCELERATE, aims to significantly reduce operational qualification time and cost in additive manufacturing by improving validation through detailed tasks and documentation. The project will tackle various aspects of AM operations, including facility controls, operator training, software configuration, and process mo...
The study explores the role of helical secondary structure in enhancing conductivity and stability of solid-state peptide polymer electrolytes. Longer helices lead to higher conductivity and increased overall stability, making these materials more viable for energy storage systems.
Researchers genetically engineered Toxoplasma gondii to produce and release therapeutic proteins in the human brain, bypassing the blood-brain barrier. The method has potential implications for treating diseases caused by protein deficiencies or abnormal expression.
A new study by Utah State University explores the potential of collaborative modeling to improve reservoir operations and adapt to variable inflow and declining storage. The research involved 26 Colorado River Basin managers and experts who used Google Sheets during video calls to discuss consuming, banking, and trading water.
Researchers at Chung-Ang University have discovered an additive that enhances the efficiency of perovskite solar cells, resulting in a record-breaking 12.22% efficiency. The additive, 4-phenylthiosemicarbazide, improves stability and reduces defects, paving the way for more accessible and long-lasting solar panels.
A new data-driven system will monitor distribution transformers' loads and provide real-time insights to utilities, enabling proactive maintenance and reducing service disruptions. The system will rely on machine-learning technology and SparkMeter's Praxis platform to analyze data and estimate the health of transformers.
Researchers at UCLA have developed a wavelength-multiplexed diffractive optical processor that enables all-optical multiplane quantitative phase imaging. This approach allows for rapid and efficient imaging of specimens across multiple axial planes without the need for digital phase recovery algorithms.
Researchers create fast and sustainable method to produce hydrogen gas using aluminum, saltwater, and coffee grounds. They find that adding caffeine speeds up the reaction, producing hydrogen in just five minutes.
The COVID-19 pandemic highlighted the importance of proper ventilation in buildings to prevent airborne infection transmission. Experts recommend developing interdisciplinary knowledge, investing in mechanical ventilation systems, and implementing equivalent ventilation methods for existing buildings.
A groundbreaking approach inspired by bio-inspired neuromorphic imaging and speckle correlography has unveiled a revolutionary technique for optical image encryption. This method leverages computational neuromorphic imaging to encrypt images into event-stream ciphertexts, significantly enhancing security and complexity.
A new study proposes a predictive home energy management system with a customizable bidirectional real-time pricing mechanism to promote residential demand response and reduce peak loads. The system enhances user comfort and accuracy of forecasting, while also providing cost savings.
Researchers have developed a smart RNA capable of regulating gene expression in response to various signals, enabling the precise design of gene therapies and advanced personalized treatments for diseases.
A team of Lehigh University researchers led by Professor Muhannad Suleiman is working to develop floating offshore wind platforms that can harness both wind and wave energy. The goal is to create more efficient and resilient structures that can withstand extreme weather conditions.
A Virginia Tech researcher has developed a simulation model to examine how public health interventions affect fatalities among teens and young adults. The study found that a single measure is not effective in reducing alcohol-related crashes; instead, a combined strategy with three key tenets is necessary.
Researchers are developing a framework to combine AI and human intelligence in process safety systems, aiming to enhance safety and efficiency. The study identifies challenges and benefits of using Intelligence Augmentation (IA) and proposes strategies for effective implementation to minimize risks.
A new US-based database of hurricane evacuation orders can help leaders and communities increase resilience, create better policy, and ultimately reduce loss of life. The HEvOD database includes nationwide public-facing evacuation orders from 2014-2022, offering insights into effective strategies for future emergencies.
The HumanIC project focuses on designing hospitals with human-centered indoor climates to minimize the spread of airborne pathogens and improve thermal comfort. This can lead to a 9-20% reduction in costs associated with airborne diseases.
Climate change is predicted to decrease strawberry yields by as much as 40% due to increased temperatures. Sustainable farming practices can help mitigate this effect, ensuring a stable food supply for everyone.
A new handheld device enables rapid non-invasive detection of harmful chemicals and biological molecules using a Raman spectrometer and cellphone camera. This technology reduces analysis time from days to minutes, making it ideal for remote areas where laboratory spectrometers are impractical.
A new catalyst with a lead coating enhances the performance of a nickel-based hydrogen evolution reaction catalyst, increasing efficiency and resisting reverse current. This breakthrough could improve the durability of alkaline water electrolysis systems and support a green hydrogen economy.
Non-flowering bryophytes, including mosses, have sophisticated immune receptor repertoires that can be transferred between flowering and non-flowering plants. This discovery offers a new source of resistance genes against pathogens for major crops facing climate change threats.
A new system developed by researchers at Binghamton University uses local computing power to analyze sensor data from everyday devices like smartphones and laptops, detecting abnormal movements with high accuracy. The Rapid Response Elderly Safety Monitoring (RESAM) system aims to cut reaction times and improve safety for older adults,...
Researchers at the Gwangju Institute of Science and Technology (GIST) have developed an innovative robotic rehabilitation system called SPINDLE to enhance the strength and dexterity of individuals with tremors. The study revealed significant benefits, including improved motor control, coordination, and neuroplasticity.
Researchers developed a one-dimensional model to predict soil temperatures around energy piles in Southeast Asia. They found that temperature distribution remained stable despite changes in soil thermal conductivity, indicating GSHP systems can be designed flexibly.
Researchers discovered that twisting carbon nanotube bundles creates long, curved disclination lines, decreasing their mechanical strength. The study sheds light on the correlation between microscopic internal changes and material properties, paving the way for potential solutions to realize high-performance CNT yarns.
University of Texas at Dallas researchers develop AI model that can automatically reroute electricity in milliseconds to prevent power outages. The system uses machine learning to map complex relationships between entities in a power distribution network, enabling faster response times than human-controlled processes.
Researchers developed a novel method to estimate modulation amplitude and determine spatial resolution in Brillouin optical correlation-domain reflectometry (BOCDR) without costly equipment. This innovation simplifies the process, reducing costs and enhancing convenience.
Researchers investigate the effects of space travel on astronauts' eye health, specifically fluid shift and its relation to Spaceflight Associated Neuro-ocular Syndrome (SANS). They examine potential countermeasures, such as lower body negative pressure, to combat microgravity-induced changes in ocular perfusion pressure.
Researchers developed metamaterials-enhanced MRI technology using coaxial cables to boost signal-to-noise ratio. The innovative coils address patient discomfort and cost by providing adaptable, form-fitting designs for various anatomical sites.