Articles tagged with Systems Engineering
Researchers at ETH Zurich have engineered a thermal trap to deliver heat at high temperatures needed for industrial processes, overcoming the challenge of fossil fuels. The device, which uses solar radiation, absorbs sunlight and converts it into heat, minimizing radiative heat losses and increasing efficiency.
Researchers at North Carolina State University have developed a technique that automates quality control during the finishing process of 3D printed metal machine parts. This approach allows users to identify potential flaws without removing parts from equipment, making production time more efficient.
A team of scientists at the University of Ottawa has developed a novel peptide-based hydrogel that can be used for on-the-spot repair to damaged organs and tissues. The material shows great potential for closing skin wounds, delivering therapeutics to damaged heart muscle, and reshaping and healing injured corneas.
A new approach uses neural networks to automatically determine polynomial coefficients for digital pre-distortion (DPD) in RF-PAs, reducing hardware complexity and power efficiency. This method can correct non-linearities and support emerging standards without extensive real-time processing.
A research team at Waseda University has discovered a family of poly(thiourea)s (PTUs) with exceptional optical properties, including transparency over 92% and a refractive index of 1.81. The polymers can be easily degraded into simpler molecules, making them suitable for sustainable optoelectronic applications.
A team of researchers from Shibaura Institute of Technology developed a self-folding origami gripper that can be mounted onto drones, enabling them to grasp and hold objects. The gripper weighs only 5 grams but demonstrates grasping force equivalent to holding a 130-gram object.
A recent study published in Science Robotics found that robots struggle to outperform biological organisms in foot races. The researchers analyzed data from dozens of studies and concluded that the failure of robots to outrun animals is not due to shortfalls in individual components, but rather inefficiencies in system design.
Researchers at MIT's EQuS group demonstrate a method to generate highly entangled states and shift between types of entanglement, including volume-law entanglement. This breakthrough offers a way to characterize a fundamental resource needed for quantum computing, enabling better understanding of information storage and processing.
A team of researchers has developed a novel approach using game theory to maximize Wi-Fi performance by optimizing user positions. By analyzing the incentives for all users, their potential game model condenses the impact of new users and inter-user interference into a single function.
The WVU Research Experience for Undergraduates program aims to solve real-world problems in Appalachia using mobile robotics. Students will conduct independent research in areas like drone navigation and swarming behaviors, focusing on enabling change with robotics tools.
Scientists develop method to image thermally-induced rearrangement of 2D materials at the atomic scale, observing a new grain-seeding mechanism and aligned domain growth. This discovery enables control over macroscopic twist between layers, affecting material properties.
Florida Atlantic University's College of Engineering and Computer Science has been selected to work with NASA on the University Nanosatellite Program. The program provides systems engineering training for students and aims to prepare them to work in the space industry.
A study by Concordia researchers analyzed data from 13 Canadian utilities covering 26,000 km of pipes and 62,000 failures. They found age, material, and diameter were the most associated factors with breaks, but also revealed less well-known effects of pipe protection methods, soil types, and seasonal variations.
Scientists have developed a novel maleic acid-treated bacterial cellulose gel that significantly improves bone repair outcomes. The gel's enhanced biocompatibility and osteogenic gene expression promote cell proliferation and differentiation, paving the way for potential applications in tissue engineering.
Researchers propose a direction of research on 'microbial food production from sustainable raw materials' to produce nutritious and eco-friendly foods. Microbial biomass is rich in protein, emits minimal carbon dioxide, and requires less water and space.
Lehigh University researcher A. Emrah Bayrak explores best practices for human-AI collaboration in complex design tasks, aiming to maximize productivity and job satisfaction. His project uses models that predict human decision-making and combines it with AI's training data analysis to determine strategies for division of labor.
Kiruba Krishnaswamy's project aims to tackle hidden hunger by developing a circular, culturally appropriate food system model. The research focuses on micronutrients and community-based solutions to address malnutrition and obesity, with the ultimate goal of reducing chronic hunger.
Researchers developed a spring-like device that maximizes muscle contractions to power biohybrid robots. The new flexure design enables predictable and reliable movement, allowing engineers to build muscle-powered robots with increased precision and versatility.
Researchers from the University of Houston used spaceborne-monitoring to detect movements and deformations in the Kakhovka Dam years before its collapse. The study highlights the importance of proactive monitoring and remote sensing in ensuring infrastructure safety and integrity.
Researchers at University of Missouri are developing software that allows drones to fly independently, perceiving and interacting with their environment while achieving specific goals. This technology has the potential to assist in mapping and monitoring applications, such as 3D or 4D advanced imagery for disaster response.
Researchers at MIT have developed a method to analyze the behavior of granular materials, revealing their internal forces and shapes in 3D detail. This breakthrough may lead to better understanding of landslides and industrial processes.
Researchers have proposed an innovative quantum algorithm that effectively solves combinatorial optimization problems with constraints in a short time. The pVSQA algorithm uses a quantum device to generate a variational quantum state and transform infeasible solutions into feasible ones, achieving near-optimal performance.
A WVU study found that treating work like a game improves workers' productivity and engagement, but also increases stress levels. Gamification can boost completion times for repetitive tasks, but may push employees past their tolerance threshold, leading to frustration and physical demands.
Researchers are exploring engineered geothermal systems and innovative drilling technologies to unlock superhot rock energy. However, significant gaps in research and development need to be addressed to achieve temperatures over 375°C.
Researchers at WVU are developing solid oxide electrolysis cells (SOECs) to split water into hydrogen and oxygen, with the goal of cutting production costs to $1 per kilogram. The projects focus on improving SOEC design and manufacturing processes to increase efficiency and reduce energy consumption.
Researchers from Pohang University of Science & Technology developed an economical and efficient water electrolysis catalyst using oblique angle deposition method and nickel. The catalyst resulted in a remarkable 55-fold improvement in hydrogen production efficiency compared to traditional thin film structures.
Researchers at Lehigh University found that low- to mid-level flooding events are the most vulnerable to cyber attacks, which can overwhelm the system and cause a flood downstream. The study developed a mathematical framework to identify vulnerabilities in stormwater systems, allowing municipalities to assess their risks.
Researchers have made significant breakthroughs by harnessing AI in metamaterials research, leading to faster device development and more precise data analysis. This convergence of AI and metaphotonics has the potential to transform various domains, including diagnosis, environmental monitoring, and security.
A Northwestern University team developed a wireless, implantable temperature sensor to monitor inflammatory flareups in patients with Crohn's disease. This allows clinicians to act earlier to prevent permanent damage caused by inflammatory episodes.
Researchers at UVA Health discovered a potential blood test to predict patients with severe COVID-19 who are likely to recover well and those at risk of long-term lung problems. The study found that patients with late-resolving symptoms had fewer immune cells in their blood, correlating with symptom severity.
A team of researchers developed a time-optimal control method for autonomous ships, optimizing maneuvering performance in dynamic sea conditions. The new control system accounts for various forces affecting ship movement and can improve efficiency and safety, reducing shipping costs and carbon emissions.
A first-of-its-kind study uses gait analysis to detect subtle impairments in older adults with mild cognitive impairment, suggesting curved path walking as a more sensitive detection method. The novel system employs a non-invasive depth camera to record gait and provides detailed information on functional performance.
A new traffic signal concept, known as the 'white phase,' uses autonomous vehicles to expedite traffic flow at intersections. The concept has been shown to improve travel time for both pedestrians and vehicles, especially when autonomous vehicles make up a higher percentage of traffic.
A novel transparent ultrasonic transducer (TUT) developed by POSTECH researchers offers exceptional optical transparency and maintains acoustic performance, surpassing conventional limitations. This breakthrough enables high-depth-to-resolution ratios for ultrasound imaging, with applications in various medical devices and fields.
A novel AI-based noise suppression system has been developed to improve the effectiveness of search and rescue drones during natural disasters. The system uses Generative Adversarial Networks (GANs) to accurately learn UAV propeller sound data and eliminate noise, allowing operators to clearly hear and recognize human sounds.
A new study highlights the contributions of 50 top scientists from elite universities to transforming medicine through cutting-edge biomedical engineering advances. Five primary medical challenges are identified, including precision engineering for personalized care and tissue engineering for human health.
Researchers argue that current automated toxicity detection methods can improve but require human intervention to review decisions. Companies can take steps to improve working conditions and platform cultures that prioritize kindness and respect.
A team of researchers has discovered ways to optimize efficiency and control degradation in perovskite solar cells by engineering their nanoscale structure. The study provides new insights on how to make high-efficiency perovskite solar cells and offers a roadmap for improving their performance.
A consortium of 50 renowned researchers from 34 prestigious universities identifies five primary medical challenges that can be addressed with advanced biomedical engineering approaches, aiming to improve human health. The paper outlines a roadmap for groundbreaking research and funding to achieve technological and medical breakthroughs.
Researchers identify five grand challenges in biomedical engineering to address social needs, existing gaps, and technological limitations. The Convergence Revolution and Fourth Industrial Revolution are expected to shape the future of medicine, emphasizing interdisciplinary collaborations and next-generation training.
The University of Manchester has received a £4.2 million funding award to tackle the UK's most challenging resilience and security problems. The project, SALIENT, will drive interdisciplinary research on robust supply chains, global order, and technological security.
Researchers propose MGDL to integrate physical knowledge into deep learning modeling, providing guidance and constraints based on physical principles. The approach demonstrates distinct advantages in terms of convergence stability and prediction accuracy, outperforming traditional techniques.
A groundbreaking technology recognizes human emotions in real time, combining verbal and non-verbal expression data for accurate emotional information extraction. The system features a personalized skin-integrated facial interface that enables self-powered, flexible, and transparent emotion recognition.
Researchers developed a sustainable technique to 3D print multiple dynamic colors from a single ink using UV-assisted direct-ink-write printing. The new method produces structural colors in the visible wavelength spectrum, offering vibrant and potentially more sustainable alternatives.
Researchers at WVU have developed a microwave technology that can significantly reduce industry's energy consumption and carbon emissions. The technology, which uses microwaves to carry out chemical reactions, has the potential to produce ethylene and ammonia in a single reactor, leading to increased efficiency and lower emissions.
Researchers develop PSEP, a compact and silent wearable thermal control device that offers real-time flow-rate monitoring and self-sensing capability. The device can adjust temperatures by up to 3°C, enhancing personal comfort and features an intuitive smartphone interface for seamless wireless control.
Researchers at North Carolina State University are developing a suite of performance metrics to standardize the evaluation of self-driving labs in chemistry and materials science. These metrics aim to compare different lab technologies and identify areas for improvement, ultimately advancing the field and accelerating discovery.
Scientists at the University of Illinois and Michigan created a template that minimizes heat transfer, resulting in highly organized microstructures. The result is eutectic materials with predictable and consistent properties, crucial for applications requiring uniformity.
Researchers developed a test to predict which heart attack patients are likely to experience dysfunction after receiving mechanical pumps. The test measures pulmonary vascular compliance and its adaptability, helping doctors prevent right ventricle failure.
Researchers at Dartmouth's Geisel School of Medicine and Thayer School of Engineering have made significant breakthroughs in understanding how antibodies combat herpes simplex virus (HSV) infections. The study reveals that antibody effector functions play a critical role in protecting against HSV, which may lead to new treatments for n...
Scientists at the University of Rochester discovered that even small differences in grain shape can significantly alter grain segregation in dry and wet conditions. The study highlights the importance of interdisciplinary research to better understand and predict geohazards and alleviate segregation issues in industrial flows.
Scientists at Northwestern University and UCSF have developed a new technique to enhance the potency of human T cells against cancer. By studying mutations in malignant T cells, they were able to create T cells that can kill tumors derived from skin, lung, and stomach cancers in mice.
Researchers at Imperial College London created a novel molecular toolkit to enhance compound production in yeast communities. The toolkit allowed them to split the resveratrol production pathway, resulting in enhanced production and more stable partnerships between yeast strains.
Assistant Professor Santiago Segarra at Rice University has won the NSF CAREER Award to develop a new approach for AI-powered climate prediction by leveraging structural properties in real-world data. The research aims to create more effective learning algorithms for structured domains.
Researchers have engineered T cells with a mutation found in malignant lymphoma cells, making them more than 100 times potent at killing cancer cells. The new approach shows promise against solid tumors and could provide long-term immunity against cancer.
Researchers created mathematical models to examine aspects of human behavior affecting pandemic trends. They found that risk perception and adherence to preventive measures are crucial in understanding why similar policies resulted in different outcomes.
Researchers developed a novel AI technique to detect Medicare fraud in big data, using Random Undersampling and supervised feature selection. The method improved classification performance, especially when reducing features, and outperformed models with all available features.
West Virginia University engineer Yuhe Tian is developing powerful artificial intelligence tools that can reimagine the sustainability of chemical manufacturing. She aims to harness quantum intelligence to innovate environmentally friendly chemical plant designs.
Researchers from Concordia University explore risks of cyberattacks faced by offshore wind farms with VSC-HVDC connections. These attacks could lead to false information, electrical disturbances, and potential transmission of amplified oscillations through the main power grid.
Incheon National University researchers developed a web 3.0 streaming architecture that reduces delay, improves user experience, and ensures transparency and fairness for real-time services. The proposed system uses Inter-Planetary file system (IPFS) to enable blockchain-based peer-to-peer data storage and caching.