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 team of CSU researchers has designed a model that can predict which buildings will survive a wildfire, allowing for more effective fire mitigation strategies. By analyzing community networks and incorporating graph theory, the model achieves accuracy rates of up to 86% in predicting building survival.
Researchers developed a machine learning model to analyze how susceptible overhead transmission lines are to damage from back-to-back natural hazards. The study found that previous damage can have a significant impact on the fragility and reliability of power grids, especially when followed by a hurricane.
A research team at POSTECH developed a skin-attachable microphone sensor that clearly detects voices even in harsh noisy environments. This technology can be used for disaster-response communication between medical professionals wearing protective equipment and firefighters wearing gas masks.
Researchers from NC State University have developed a dynamic computational tool to help improve user access to electric vehicle (EV) charging stations. The technique accounts for factors such as charging time, cost, and wait times to provide users with the most convenient options.
A new CNN framework, PE-Net, is proposed for predicting machine remaining useful life (RUL) accurately. The framework uses a novel architecture with small-sized one-dimensional convolution kernels and deep networks to learn features from input time series signals.
Researchers developed computational models to identify massage businesses at risk of violating laws related to sex and labor trafficking. The models provide probability scores on the likelihood that a business is engaged in illegal activity, allowing law enforcement and organizations to prioritize investigations.
Scientists explore the dynamics of soft materials like toothpaste and hair gel using X-ray photon correlation spectroscopy (XPCS). The technique reveals microscopic dynamics and helps understand properties like viscosity and elasticity. Insights gained can aid in designing consumer products, nanotechnologies, and drug delivery systems.
The NTU-developed wind harvester generates a voltage of three volts at wind speeds as low as two meters per second, powering commercial sensor devices. The device can also store excess charge for extended periods in the absence of wind, serving as an alternative to smaller lithium-ion batteries.
Researchers detected a spectral softening around 10 TeV in the high-energy cosmic ray proton spectrum, suggesting the proton energy spectrum is not consistent with a single power law variation. The study contributes to understanding of cosmic ray acceleration by supernovae and propagation mechanism.
A team of researchers at Harvard University has developed an ionic circuit that performs analog matrix multiplication, a key operation in neural networks, using ions in liquid. The breakthrough uses a pH-gated ionic transistor and expands to a 16x16 array for more complex computations.
A recent grant will fund a project developing new hardware for machine learning, aiming to curb unsustainable energy use in AI systems. The new algorithms being developed are made available to the research community and compatible with an openly shared computing platform.
A new study published in Joule provides energy systems models for quickly eliminating EU and UK dependence on Russian natural gas. Researchers at Binghamton University offer several paths to achieve this goal, which could help mitigate the ongoing crisis.
Researchers used the Advanced Photon Source to study asteroid fragments from Ryugu, finding they were made of water and carbon dioxide ice. The analysis suggests the asteroid formed over 4 billion years ago in the outer solar system, with a hydrated interior and dryer surface.
Researchers aim to create intelligent drones that can autonomously inspect coal waste storage facilities, detecting cracks and deformities with thermal and visual images. The drones will be equipped with AI-based software to identify potential hazards, providing a faster and long-term solution to prevent environmental damage.
Researchers developed a machine learning algorithm that can generate a continuous 3D model of cells from a partial set of 2D images. The neural field network learns a mapping from spatial coordinates to physical quantities, allowing for smooth zooming and no pixelation.
A new study by Cornell University researchers suggests that green policy incentives for carbon capture and renewable energy can help reduce the environmental impact of cryptocurrency mining. States with lower electricity prices and a higher share of renewable energy in their grids are best suited for this approach.
Researchers designed an integrated system to support joint operations between UAVs and mobile robots for surveillance, epidemic prevention, and rescue operations. The system aims to improve public safety while ensuring privacy and security.
Researchers have developed a new safety system for CAR-T cells, called VIPER CAR-T cells, that can be turned on or off. This allows doctors to target cancer more aggressively while minimizing side effects. The new system uses an FDA-approved antiviral drug to control the cell's activity.
Rice University researchers have received three NSF grants to develop tools and techniques for improving wireless communications. The projects focus on creating more efficient sensing and communication technologies, as well as protocols for resilience in the face of natural or human-induced disasters.
Xiu Yang, a 2022 NSF CAREER award recipient, is working on an algorithmic approach to model and overcome hardware errors in quantum computing. He aims to enable the technology to achieve its promise of unparalleled speed in solving complex problems.
Researchers create textile-based pneumatic computers capable of digital logic, onboard memory, and user interaction. The technology aims to assist people with functional limitations in daily tasks without electricity.
The NYU WIRELESS research center will pioneer basic measurements of devices, circuits, materials, and radio propagation channels at the highest reaches of the radio spectrum. The team will study propagation and channel modeling, as well as RFIC on-chip measurement capabilities up to 500 GHz.
Researchers developed a digital health system approach to enhance clinical decision-making for low-back pain sufferers. The system combines self-reported pain measures with precise motion-sensing data, revealing functional improvements only after six months of surgery.
Bhattacharya's project uses topological abstraction to reduce complexity in robotic systems, enabling more efficient and accurate motion planning. The approach has potential applications in industries such as transportation, manufacturing, and healthcare.
Researchers at Rice University have developed cells that can store and process information similar to computer RAM. The cells will be programmed to synthesize redox-active molecules that carry information to and from the outside world, allowing for quick read and write capabilities.
Engineers developed a machine learning algorithm that can detect and correct wide variety of errors in real time, learning from other machines' experiences. The algorithm enables 'driverless' printers to work for multiple parts, materials, and printing conditions.
The new Engineering Research Center for Smart Streetscapes (CS3) will advance the future of smart streetscapes with cutting-edge technologies. The center aims to improve quality of life, enhance social equity, and stimulate economic development through innovative smart city solutions.
Researchers at Washington University in St. Louis developed a new imaging tool that uses optical coherence tomography (OCT) and machine learning to detect and classify cancerous tissue samples with high accuracy. The technique, which was tested on patients in a trial, showed a 93% diagnostic accuracy rate.
The Madrid Flight On Chip (MFOC) project has successfully implemented advanced technological products and introduced disruptive changes in the design and verification of complex space systems. The project, which ran for over three years, focused on Multi-Processor System on Chip (MPSoC) components and aimed to reduce testing costs.
A new breath-driven hand prosthesis offers a lightweight, low-maintenance option for children and those in low-resource settings. The device is powered by the user's breathing and provides simultaneous control and actuation, with minimal maintenance required.
NC State researchers discovered a new way to make the difficult-to-characterize gut bacterium Bifidobacterium more responsive to antibiotics. They also found tiny changes in different strains that reflect large differences in their characteristics, highlighting the need for individualized CRISPR-based genome engineering approaches.
Scientists developed a novel multilayer coating to improve the longevity of steel, increasing its lifespan by up to 400 hours. The coating, comprising three layers, was found to provide higher resistance to rust than conventional Zn coatings.
A novel algorithm, BLIND, enables robots to navigate through environments with obstacles by incorporating human feedback. Humans provide labels to refine the robot's trajectory, avoiding obstacles efficiently.
A new optimization tool can quickly improve performance of various autonomous systems, including walking robots and self-driving vehicles. The tool uses automatic differentiation to identify tweaks that achieve desired outcomes, reducing trial-and-error simulations.
Researchers propose a peer-to-peer system for electric vehicles to share charge while driving, reducing the need for charging stations and lowering travel times. The system uses a cloud-based control system to match vehicles in the same vicinity, allowing them to share charge en route.
Scientists have found that axisymmetric 'spike waves' can exceed previously thought limits on ocean wave height, leading to significant implications for maritime safety. The new research revealed the fundamental mechanisms behind highly directional and crossing waves becoming much larger than others.
A simplified surgical tool called RAIS has been developed to enable laparoscopic surgery in low-to-middle income countries. The device uses a mechanical retractor and does not require CO2 gas or a general anaesthetic, making it more accessible and affordable for rural surgeons.
A new theory developed by researchers at the University of Chicago proves the existence of local equilibrium at interfaces, which are regions where materials interact and connect. This finding has significant implications for understanding and engineering systems with multiple components.
Researchers developed a computational model to determine optimal places for electric vehicle charging facilities and powerful stations without straining the local power grid. The model considers travel flow, user demand, and regional power infrastructure needs.
A team of researchers from Rice University has modeled the dynamics of grain boundaries in polycrystalline materials using a rotating magnetic field technique. The study shows that grain boundaries can change readily in response to shear stress, and voids in these structures can act as sources and sinks for their movement.
Lan Yang, a leading researcher in photonic devices, has been selected for the award due to her exceptional academic achievements. She is recognized as one of the most-cited researchers in her field, with work cited nearly 17,500 times.
A recent study by Concordia researchers analyzed over 150,000 government websites and 1,150 Android apps, finding that 17% of government websites and 37% of Android apps host Google trackers. The study also identified 304 malicious sites and 40 apps flagged by internet security website VirusTotal.
Researchers at North Carolina State University have developed FAXID, a hardware-based approach for detecting ransomware that is significantly faster than software-based methods. In proof-of-concept testing, FAXID demonstrated accuracy comparable to XGBoost but with speeds up to 65.8 times faster.
A new study by Dr. Marin Marinov at Aston University proposes three solutions to make train commuting less stressful: purchasing tickets on smartphones, removing ticket gates and installing sensors, and implementing one-way flow systems in station concourses. These changes could reduce queuing times and promote social distancing.
A Rutgers engineer has developed a faster and cheaper way to recover cloud-covered earth surface using a recommendation algorithm inspired by Netflix and Amazon. The algorithm, called Funk-SVD, is more accurate than conventional data-filling tools in predicting coastal landscapes.
Sandia researchers have designed a reliable and resilient microgrid for NASA's Artemis lunar base, which will sustain astronauts, mining, and fuel processing. The system utilizes distributed energy resources like solar panels and wind turbines, with a focus on efficient power management and scalability.
A new method reduces computational complexity of traffic models, making them operate more efficiently. The modified algorithm breaks down complex forecasting questions into smaller problems that can be solved in parallel, significantly reducing run time. This approach also allows for a good enough solution within an error bar, rather t...
James Anderson, assistant professor of electrical engineering at Columbia University, has received a National Science Foundation (NSF) CAREER award for his work on developing randomized algorithms for the analysis and control of large-scale cyber-physical systems. His goal is to provide robust, reliable, and secure autonomy to large-sc...
Researchers developed a portable desalination unit weighing less than 10kg that removes particles and salts to generate clean drinking water. The device uses ion concentration polarization and electrodialysis processes, requiring minimal energy and maintenance.
A new study by UC Berkeley scientists finds that solar photovoltaics can provide sufficient power for extended Mars missions, outperforming nuclear fusion reactors in over 50% of the planet's surface. This breakthrough provides a more practical solution for long-term human settlements on Mars.
Researchers have developed microrobot collectives that can move in various formations, reconfiguring their behavior quickly and robustly. The systems use a combination of magnetic forces, fluid dynamics, and computation to achieve coordinated patterns of motion.
Researchers at Michigan State University have designed a learning-enabled safe controller for systems operating in uncertain environments. The new method, which combines control barrier functions and Lyapunov functions, allows the system to quickly learn uncertainties while achieving maximum safe performance.
A new control allocation method using a neural network improves the performance of quadrotor controllers by considering aerodynamic effects. This approach reduces errors in command generation and delivers better thrust and torque signals.
Developed by Prof. Qing Shi's team, SQuRo can mimic the motion of actual rats and perform various motions like crouching-to-standing, walking, crawling, and turning. It successfully passed through an irregular narrow passage and demonstrated its potential application to inspection tasks inside narrow spaces.
A new robotic system allows surgeons to remotely treat patients experiencing a stroke or aneurysm, providing teleoperated endovascular treatment during the critical golden hour. With just one hour of training, neurosurgeons can successfully operate the system to guide a wire through complex vessels and reach difficult-to-reach areas.
A study by University of Waterloo researchers identified areas such as player fatigue, mental stress, and peak performance conditions that require in-depth research to improve coaching and player performance. Professional esports players often practice for 12-14 hours a day, six days a week, leading to burnout and physical injuries.
Researchers developed first fully integrated parity-time symmetric electronic system, expanding giga-terahertz research capabilities. The system operates without exotic materials, utilizing standard microelectronic fabrication technology.
The new eye detection system allows for clear iris image capture from 2m away and can process over 700 frames per second, enabling real-time biometric identification. This innovation has the potential to revolutionize security and access control in various settings.
Researchers from North Carolina State University have released a dataset providing detailed information on COVID-19 vaccine shipments and wastage across the US. The data aims to inform modeling and decision-making to optimize vaccine supply chains.
Developers are integrating optical coherence tomography (OCT) machines into sensor packages to create fast and accurate LiDAR systems. These advancements enable robots and cars to see the world in a more natural and safe manner, improving interaction with humans.