Articles tagged with Systems Engineering
Comprehensive exploration of living organisms, biological systems, and life processes across all scales from molecules to ecosystems. Encompasses cutting-edge research in biology, genetics, molecular biology, ecology, biochemistry, microbiology, botany, zoology, evolutionary biology, genomics, and biotechnology. Investigates cellular mechanisms, organism development, genetic inheritance, biodiversity conservation, metabolic processes, protein synthesis, DNA sequencing, CRISPR gene editing, stem cell research, and the fundamental principles governing all forms of life on Earth.
Comprehensive medical research, clinical studies, and healthcare sciences focused on disease prevention, diagnosis, and treatment. Encompasses clinical medicine, public health, pharmacology, epidemiology, medical specialties, disease mechanisms, therapeutic interventions, healthcare innovation, precision medicine, telemedicine, medical devices, drug development, clinical trials, patient care, mental health, nutrition science, health policy, and the application of medical science to improve human health, wellbeing, and quality of life across diverse populations.
Comprehensive investigation of human society, behavior, relationships, and social structures through systematic research and analysis. Encompasses psychology, sociology, anthropology, economics, political science, linguistics, education, demography, communications, and social research methodologies. Examines human cognition, social interactions, cultural phenomena, economic systems, political institutions, language and communication, educational processes, population dynamics, and the complex social, cultural, economic, and political forces shaping human societies, communities, and civilizations throughout history and across the contemporary world.
Fundamental study of the non-living natural world, matter, energy, and physical phenomena governing the universe. Encompasses physics, chemistry, earth sciences, atmospheric sciences, oceanography, materials science, and the investigation of physical laws, chemical reactions, geological processes, climate systems, and planetary dynamics. Explores everything from subatomic particles and quantum mechanics to planetary systems and cosmic phenomena, including energy transformations, molecular interactions, elemental properties, weather patterns, tectonic activity, and the fundamental forces and principles underlying the physical nature of reality.
Practical application of scientific knowledge and engineering principles to solve real-world problems and develop innovative technologies. Encompasses all engineering disciplines, technology development, computer science, artificial intelligence, environmental sciences, agriculture, materials applications, energy systems, and industrial innovation. Bridges theoretical research with tangible solutions for infrastructure, manufacturing, computing, communications, transportation, construction, sustainable development, and emerging technologies that advance human capabilities, improve quality of life, and address societal challenges through scientific innovation and technological progress.
Study of the practice, culture, infrastructure, and social dimensions of science itself. Addresses how science is conducted, organized, communicated, and integrated into society. Encompasses research funding mechanisms, scientific publishing systems, peer review processes, academic ethics, science policy, research institutions, scientific collaboration networks, science education, career development, research programs, scientific methods, science communication, and the sociology of scientific discovery. Examines the human, institutional, and cultural aspects of scientific enterprise, knowledge production, and the translation of research into societal benefit.
Comprehensive study of the universe beyond Earth, encompassing celestial objects, cosmic phenomena, and space exploration. Includes astronomy, astrophysics, planetary science, cosmology, space physics, astrobiology, and space technology. Investigates stars, galaxies, planets, moons, asteroids, comets, black holes, nebulae, exoplanets, dark matter, dark energy, cosmic microwave background, stellar evolution, planetary formation, space weather, solar system dynamics, the search for extraterrestrial life, and humanity's efforts to explore, understand, and unlock the mysteries of the cosmos through observation, theory, and space missions.
Comprehensive examination of tools, techniques, methodologies, and approaches used across scientific disciplines to conduct research, collect data, and analyze results. Encompasses experimental procedures, analytical methods, measurement techniques, instrumentation, imaging technologies, spectroscopic methods, laboratory protocols, observational studies, statistical analysis, computational methods, data visualization, quality control, and methodological innovations. Addresses the practical techniques and theoretical frameworks enabling scientists to investigate phenomena, test hypotheses, gather evidence, ensure reproducibility, and generate reliable knowledge through systematic, rigorous investigation across all areas of scientific inquiry.
Study of abstract structures, patterns, quantities, relationships, and logical reasoning through pure and applied mathematical disciplines. Encompasses algebra, calculus, geometry, topology, number theory, analysis, discrete mathematics, mathematical logic, set theory, probability, statistics, and computational mathematics. Investigates mathematical structures, theorems, proofs, algorithms, functions, equations, and the rigorous logical frameworks underlying quantitative reasoning. Provides the foundational language and tools for all scientific fields, enabling precise description of natural phenomena, modeling of complex systems, and the development of technologies across physics, engineering, computer science, economics, and all quantitative sciences.
A research team at Pohang University of Science & Technology developed an optical encryption platform that works in both the visible and ultraviolet regimes. The platform uses metasurface technology to display unique product numbers and improve encryption security.
The University of Plymouth is collaborating with Kongsberg Digital to develop a state-of-the-art simulator that will revolutionize the floating offshore wind sector. The new system will provide key insights into solutions increasing efficiency, safety, and cost effectiveness for industry professionals.
A research team at the Advanced Science Research Center has identified peptidoglycan as the most powerful actuator material. The new water-responsive muscles can quickly expand and contract in response to water absorption and evaporation, enabling rapid actuation of micro and macro structures.
A study by Sibani Lisa Biswal and Kedar Joshi shows that magnetically driven colloidal suspensions exhibit behavior consistent with the principles of classical thermodynamics, including vapor pressure, viscosity, and surface tension. The researchers' findings have implications for designing materials with reconfigurable properties.
The Texas cold snap highlighted the critical role of electricity in society and the need for improved power system planning to withstand extreme weather events. The event showed that traditional planning based on historical weather patterns is not sufficient, and new information from climate projection models is needed.
Researchers developed a machine learning method to create controls that balance building energy cost, comfort, and efficiency. The system can compute solutions at a fast pace, reducing the need for complex model predictive controllers.
Researchers found that ant colonies use an algorithm similar to the internet's data optimization, which senses and stabilizes behavior. This principle is also used in cells and neurons. Nature's algorithms may inspire new cybersecurity strategies or alternative approaches to gene regulation.
Researchers at University of Missouri found a long-term association between adolescent psychological well-being and adult cardiovascular disease risk. People who are more optimistic in their youth can lower their chances for heart disease as adults.
Researchers have developed a low-cost system called SIFTER that uses advanced algorithms and models to continuously screen for fever in multiple people without requiring human interaction. The system can take temperature readings up to three meters away, producing accurate predictions with minimal disruption to normal activities.
The University of Texas at El Paso establishes a new Systems Modeling and Simulation concentration, enhancing students' skills in data analytics, computer simulation, and machine learning. The program aims to train students for innovative industries with rapidly changing environments.
George Mason University researchers are developing a framework for Explainable and Transparent Machine Learning (EXTRA) for Autonomous Decision-Making systems. The project aims to improve the transparency and explainability of AI-driven decisions in autonomous systems, with potential applications in various industries.
Yushan Yan, a University of Delaware engineering professor, has been recognized by the National Academy of Engineering for his contributions to sustainable chemical engineering and electrochemical systems. He is also an inventor on over 20 patents and founder of Versogen, a Wilmington-based startup.
Researchers developed a vortex microscope that captures detailed motion and rotation of molecules in liquid. The technique provides unprecedented insight into molecular dynamics, enabling the study of diseases like Alzheimer's.
Researchers have discovered that altering the interface between two materials in time can lead to new opportunities for wave manipulation. This breakthrough enables novel concepts and applications in photonics, including nonreciprocal gain, power steering, and optical drag.
A new machine learning process has been developed to identify and classify hip fractures from X-rays, achieving 92% accuracy and confidence. This approach aims to improve patient outcomes, reduce care costs, and alleviate the bottleneck of unreported radiographs in the UK.
The £1 million HAROLD 2.0 test rig will enhance the facility's functionality with real-time train braking performance models and a fully functional AC power bogie, enabling analysis of on-train systems and novel hybrid drivetrains.
Researchers at the University of Delaware have developed a novel electrochemical system that can capture 99% of carbon dioxide from air, effectively turning it into an environmentally friendly fuel cell technology. The technology uses hydrogen as power and has potential applications in various industries, including automotive, aerospac...
Researchers at NYU Abu Dhabi have published a comprehensive review of 50 fundamental traffic models using an extensive data set of 2.3 billion vehicle observations from 25 cities worldwide. The study found that a non-parametric model outperformed other traffic flow models, regardless of road type and congestion level.
A new AI-powered system tracks food intake to ensure residents meet their nutritional needs, providing accurate data and reducing errors. The system analyzes photos of plates after meals, estimating food consumption and calculating its nutritional value.
KAUST researchers have found that even low-speed solid-liquid impacts can cause cavitation and generate damaging shock waves. This challenges previous assumptions about the effects of such impacts. The team used high-speed cameras to study the impact of a flat-bottomed cylinder on a pool of liquid, observing that pressures below a cert...
A team of scientists from Korea Maritime and Ocean University has developed a novel synthesis route to produce a high-performance co-doped anode material for rechargeable seawater batteries. This breakthrough enables the creation of efficient and sustainable maritime applications, including emergency power supply for coastal nuclear pl...
This book provides a fundamental understanding of the physical, biological, and chemical processes governing fine sediment transport in open water. It covers various spatial and temporal scales, from micro-scale to system-wide, and discusses interactions between disciplines such as hydrodynamics and soft soil mechanics.
A new study proposes a sustainable recycling method for PPE waste using pyrolysis, a medium-temperature reaction that reduces plasticized medical-protection garb into chemicals and petroleum. The method avoids landfill use and incineration, reducing greenhouse gas emissions by 35.42%.
Boyce's research aims to develop MRI techniques to characterize the interior of flow systems in 3D, leading to revolutionized technologies in sustainable mining and hydrogen-powered vehicles. He plans to use visualizations to inspire middle- and high-school students from Harlem and the Bronx to pursue STEM studies.
Cornell researchers have successfully trained various physical systems, including mechanical, optical, and electrical systems, to perform machine learning tasks. The developed training algorithm enables diverse systems to be chained together for efficient processing.
A team of scientists developed an AI-based model to predict personal thermal comfort based on spatial parameters, achieving exceptional accuracy. The study highlights the importance of incorporating architectural features in models to reduce energy consumption.
A new approach uses reinforcement learning algorithm to help robotic knee mimic intact human knee in walking, achieving 100% success rate on even ground. The technology also adapts to uneven terrain and changes in walking pace, promising a more comfortable experience for prosthetic users.
Researchers developed a machine learning approach enabling robots to separate, recognize, and grasp individual objects with high accuracy. The method achieved 97% success rate in real-world experiments, paving the way for industrial parts sorting and residential waste sorting applications.
Researchers developed a novel robotic replica of a human spine with an artificial disc implant and soft magnetic sensor array. The system can classify five different postures of the spine with 100% accuracy, providing physiologically relevant data before invasive surgeries.
The study found that efficient metabolic processes and recycling of components used by the enzyme RuBisCO significantly speed up photosynthesis in Chlorella ohadii. This discovery could lead to improving photosynthesis efficiency in other plants, developing new engineering tools for sustainable food production.
Researchers successfully engineered mesenchymal stromal cells to carry and deliver therapeutics specifically to targeted tissues, offering a precise and reliable approach for treating diseases. This novel cargo-carrier, dubbed 'Cargocytes,' retains most of its cellular functionality while greatly enhancing therapeutic capacity.
A recent study found that social media posts about COVID-19 were less likely to contain misinformation than posts about other health topics. The research also revealed that health misinformation was already prevalent before the pandemic, with credible sources like governments and academic institutions being more trustworthy.
A new study reveals that mobile apps for hospitalists lack user-centered designs, relying on paper and memory for tasks. The authors propose prioritizing data entry and presentation apps to improve continuity in hospital-based medicine.
The NYU Tandon team is developing an AI 'virtual assistant' to provide just-in-time visual and audio feedback for complex tasks. The project aims to create a dynamic intelligent agent that engages with users, responding to their emotional state, location, and surrounding conditions.
A new study by Cornell University found that moving professional conferences online reduces the global event industry's carbon footprint by 94%, and shifting to a hybrid model cuts it to 67%. The annual carbon footprint of the industry is comparable to the yearly greenhouse gas emissions of the entire US.
Scientists developed an all-season smart-roof coating that automatically switches between cooling and heating, outperforming commercial cool-roof systems in energy savings. The technology uses vanadium dioxide to regulate its rate of radiative cooling, overcoming the problem of overcooling in winter.
Researchers from Japan have developed a new method to synthesize a pure Si-CHA membrane showing much higher CO2 separation performance than existing membranes. The key to this achievement is using a porous silica substrate instead of alumina, eliminating problems with pore size reduction and improving efficiency.
Researchers at Universidad Carlos III de Madrid have designed a system that uses hydrothermal biomass carbonisation and solar power to extract more energy from biomass. The system reduces the need for drying pre-treatment, making it more sustainable and efficient.
Washington University researchers have designed a new processing-in-memory (PIM) circuit that can increase PIM computing's performance by orders of magnitude. The circuit uses resistive random-access memory PIM, allowing for analog computations and eliminating the need for digital conversions.
Researchers at Hospital Gregorio Marañón and UC3M developed a navigation system combining surgical navigation, three-dimensional photography, and augmented reality to estimate bone fragment positions during surgery. This system has been used on 7 patients with optimal results, reducing dependency on surgeons' experience.
Researchers will develop game theoretic models to optimize financial incentives for water conservation, exploring socio-spatial dynamics of water sustainability. The project aims to understand how water users' propensities for cooperative behavior vary over time across river networks.
Researchers at University of South Australia are developing a world-first product to design traffic lights that absorb kinetic energy, stopping them from crumpling when hit by a vehicle. The technology has the potential to reduce road safety-related costs and injuries worldwide.
Researchers at Durham University have developed a sugar-containing polymer coating that can repair damaged artificial joint implants by mimicking the way cartilage works to lubricate human joints. The coating uses water to create a slippery surface, protecting the surfaces from wear and tear.
Researchers at Singapore University of Technology and Design found that adding carbon emission labels can influence online shoppers to choose more sustainable shipping options. The study showed that slow shipping options result in lower emissions but longer delivery times, with an 81% reduction in emissions possible.
A comprehensive assessment of polyurethane in the US reveals complexities that affect its recovery and recycling. The study highlights opportunities to enhance circularity and increase bio-based content of polyurethanes.
Researchers have designed a digital camera-based system that can accurately detect jaundice in newborns within one second, sending diagnoses to carers via SMS. The system uses image processing techniques to detect bilirubin levels, triggering blue LED phototherapy and treatment.
The University of Huddersfield's Institute of Railway Research has won a prestigious prize from the Institution of Mechanical Engineers (IMechE) for its 'Low Adhesion Braking Dynamic Optimisation for Rolling Stock' (LABRADOR) simulation tool. This tool allows for the study of specific brake control features and prediction of train brak...
Scientists at ORNL developed a scalable, low-cost method to improve materials joining in solid-state batteries, resolving one of the big challenges in commercial development. The electrochemical pulse method increases contact at the interface without detrimental effects, enabling an all-solid-state architecture.
Researchers from academia and industry will converge at Lehigh University to discuss innovative solutions for optimizing efficiency and resiliency in the global supply chain. The workshop aims to leverage machine learning for prescriptive analytics, enabling proactive optimization of supply chain operations.
A team of engineers at the University of Arizona is using machine learning methods to monitor and mitigate defects in additive manufactured metal parts designed for use in extreme environments. The system combines data processing, process optimization, materials analysis, and machine learning to predict defects.
Optical coherence tomography (OCT) has significant growth potential across various medical applications, including cardiology and dermatology. Miniaturized OCT systems are expected to revolutionize healthcare with compact, mobile, and cost-effective devices.
Researchers are developing insect-like robots for agriculture, mining, and space exploration using dynamic force sensing and agile movement. The goal is to create robots that can navigate difficult terrains and interact safely with humans.
Researchers from South Ural State University created a hybrid intelligence system that can predict pile bearing capacity with high accuracy. The system, developed by combining adaptive neuro-fuzzy inference system and group method of data handling, outperformed traditional methods and provided close to measured values.
A team of researchers at Penn State developed a new approach to personalize fitness tracker messages to improve motivation and physical activity. They used control systems engineering tools to tailor motivational messages based on individual user behavior, weather, and goals. The study aimed to establish the effectiveness of precision ...
Researchers at the University of Virginia and Penn State are developing a new hardware platform called FerroCoDE that can generate solutions for complex problems more efficiently. The platform uses analog computing to exploit the spatial-temporal properties of oscillators and their synchrony.
A new model developed by Skoltech researchers optimizes satellite radar system design, balancing performance characteristics with other mission parameters. The study identifies optimal designs for small satellite platforms, particularly in the 8-12 GHz and 4-8 GHz frequency bands.
Researchers at the University of Waterloo developed AI technology that can identify players by their jersey numbers in hockey videos with high accuracy. The system uses multi-task learning and a large dataset of over 54,000 images from NHL games to recognize sweater numbers.
Researchers at JILA have enhanced the sensitivity of their decade-old frequency comb breathalyzer to detect four biomarkers of disease in human breath. The upgraded system can also identify six additional chemicals, with potential implications for COVID-19 testing and real-time health monitoring.
Researchers developed a computational model to optimize the use of additive manufacturing in spare parts supply chains, finding that centralized systems are more efficient for less frequent demand with high variability. The study's findings provide a step forward in understanding how to incorporate AM technologies into supply chains.
Researchers have developed a new interface technology that can provide natural sensory feedback from robotic prosthetics to amputees, reducing abnormal sensations and cognitive burden. The innovation uses ultra-small recording sites and molecular guidance cues to stimulate sensory axons selectively, improving control of robotic limbs.