Articles tagged with Sensors
The NUS team developed novel strain sensors using MXenes that are 10 times more sensitive and can transmit data wirelessly. These sensors have potential applications in precision manufacturing, robotic arms, and soft robotics.
The project, funded by NASA's University Leadership Initiative, will create a new paradigm in sensing for hypersonic vehicles. Researchers will use scientific machine learning methods to analyze aerodynamic changes during flight tests and infer where force is being applied.
Researchers developed a compact laser-based sensor that accurately senses extremely low concentrations of benzene in real time, outperforming existing devices. The device detects trace benzene levels, including in parking garages and service stations, with higher sensitivity than conventional sensors.
Researchers developed a light-activated hydrogen sensor inspired by butterfly wings, offering precision results at room temperature. The sensor can detect tiny amounts of hydrogen in people's breath and measure concentrations across a full range.
Researchers developed wearable electroanalytical sensors for monitoring chronic skin wounds, detecting biomarkers such as pyocyanin, nitric oxide, and uric acid. The sensors showed high sensitivity and selectivity in simulated wound environments and cell cultures.
Researchers at Arizona State University found that urban parks experience a significant increase in evaporative losses during the night due to the oasis effect, leading to higher carbon dioxide emissions. This can have important implications for water conservation and greenhouse gas emission management in desert cities like Phoenix.
Fiber optic sensors have been upgraded with an advanced encoding and decoding system, allowing for faster and more accurate data transmission over wider areas. This technology, developed by EPFL engineers, enables real-time monitoring of hazards such as pipeline cracks and civil engineering deformations.
Researchers at Cornell University have created a stretchable 'skin' sensor that detects deformations and allows soft robotic systems to feel pressure, bending, and strain. This technology has the potential to revolutionize physical therapy and sports medicine by enabling machines to measure force interactions.
Researchers developed a stretchable dual-core optical fiber sensor system that can distinguish and measure complex mechanical movement using only a single sensor. The system, called SLIMS, successfully detected various finger movements and presses in real-time when integrated into a stretchable glove.
Scientists calculate that rare signals from dark matter can be detected by GPS atomic clocks and magnetometers, adding to multi-messenger astronomy
A team of MIT researchers has designed a skin-like device that can measure small facial movements in patients with ALS, allowing them to communicate through a variety of sentiments. The wearable sensor is thin, camouflaged, and easy to use, achieving an accuracy rate of about 75% in distinguishing between different movements.
Scientists successfully printed wearable circuits directly onto human skin using a room-temperature sintering method, enabling seamless integration with the body. The novel approach produced reliable and comparable signal quality to conventional commercial devices for health monitoring applications.
Researchers will test an unobtrusive multi-sensor system to detect and report cognitive changes in drivers aged 65 and older. The project aims to develop a low-cost, widely available early warning system for cognitive decline in older drivers.
A new, tiny fiber optic force sensor has been developed by researchers, enabling precise measurements of small forces and opening up potential applications in medical systems and manufacturing. The sensor, made of silica glass, measures forces with a resolution better than a micronewton and has a broad measuring range.
Penn State researchers discovered that adding background noise can enhance weak signals in manmade sensors, a phenomenon common in the animal world. This technique, known as stochastic resonance, can be used to detect other signals with low energy consumption and space requirements, making it suitable for deployment in IoT applications.
A UTA researcher is developing an AI-based system to refine traditional measurements of bridge structural health by accounting for variables like truck types and traffic conditions. The goal is to provide more accurate load parameters and improve the overall integrity of bridges.
A UMass Amherst health informatician has received a $2.4 million grant to develop a mobile health system using finger-worn sensors to monitor and encourage movement in stroke survivors' weak upper limbs. The goal is to provide individually tailored data and visualization tools to motivate patients and inform clinicians.
A novel modality for computational light-field imaging using a diffuser as an encoder has been developed, enabling lensless imaging with adjustable spatio-angular resolutions. This approach avoids the resolution limitation of traditional sensors, allowing for viewpoint shifting, post-capture refocusing and depth sensing capabilities.
Researchers at Cornell University developed a graphene-based Hall-effect sensor that can operate over a greater temperature range than previous sensors. The device can detect miniscule changes in magnetic fields, even within a larger magnetic background, making it ideal for various technological applications.
A flexible electronic sensing patch can be sewn into clothing to analyze sweat for multiple health markers, including electrolytes and metabolites. The device enables real-time tracking of physiological responses during exercise or daily activities, with potential applications in diagnosing and monitoring chronic health conditions.
A new device reduces perceived loudness of urban noises by up to half through sound wave cancellation. The device, consisting of 24 speakers and a sensor, is tested in a replica room with various noise sources, demonstrating up to a 10 decibel reduction.
Researchers at NIMS and AIST have developed a small, energy-efficient sensor that can continuously monitor ethylene gas levels in fruits and vegetables, allowing for optimal transportation and storage schedules. This new sensor enables accurate estimation of ripening progression and potential reduction of food waste.
Researchers paired hyperspectral sensors with machine learning and molecular assays to differentiate between late blight clonal lineages. They found that accuracy increased at early stages of infection before symptoms appeared, suggesting a link to pre-symptomatic effector expression differences.
The University of Sussex has developed the most sensitive strain sensor, capable of detecting strains as low as 0.1% and up to 80% with a gauge factor of ~20. This technology could revolutionize wearable devices for vital sign monitoring and building structural integrity assessment.
Scientists have created a sensor that can detect carbon dioxide on a simple piece of paper, with potential applications in industries and smart buildings. The paper-based sensor changes colors based on CO2 levels, providing a cheap and efficient solution for carbon dioxide detection.
A hybrid sensor is being developed to detect diabetes from exhaled breath using nanoparticles loaded on 1D metal oxides. This innovative technology aims to provide a non-invasive, affordable, and rapid detection method for continuous diabetes monitoring, potentially reducing serious health problems and life-threatening side effects.
Researchers at MIT and WHOI have developed a lightweight instrument that can measure both physical and biological features of the ocean's vertical layers. The EcoCTD uses a combination of sensors to capture data on temperature, salinity, and chlorophyll content, providing insights into nutrient cycles and carbon sequestration.
Researchers have created a distributed sensor fault diagnosis algorithm to detect and isolate multiple sensor faults in large-scale HVAC systems. The algorithm can be applied to both existing Building Management Systems and plug-in IoT systems, notifying users and operators about faulty measurements and sensor locations.
NASA scientists have developed a new seismometer system called SUBLIME to measure moonquakes and map the Moon's interior. The system will alert astronauts to seismic events and provide an early-warning system, with the long-term goal of establishing a network of seismic stations.
Researchers developed graphene-based sensors to measure oxygen transport in bovine lung tissue, revealing that a surfactant called cardiolipin disrupts oxygen balance in pneumonia patients. The study also found damaged spots in diseased tissue, which may be responsible for increased oxygen transfer.
The TU Graz pollen measurement system uses machine learning algorithms to analyze pollen samples automatically, reducing the need for manual evaluation. The system is simple, lightweight, energy-saving, and can be implemented at low cost, making it a game-changer for pollination services.
Researchers at KAIST developed a novel wearable strain sensor that overcomes limitations of conventional sensors. The sensor demonstrates high sensitivity, flexibility, and stretchability while being environmentally stable, making it suitable for healthcare applications.
Researchers created a tiny sensor that can detect ethylene gas concentrations as low as 15 parts per billion. The sensor uses carbon nanotubes and palladium catalysts to measure ethylene levels in real-time, revealing when fruits and vegetables are about to spoil.
Environmental engineers at San Diego State University have developed a rapid detection system for bacterial contamination in water, which can alert authorities to pollution in real-time. The system uses tryptophan as a marker and has been tested in Alvarado Creek, where it correctly identified sewage leaks and spills.
A wireless sweat sensor developed by Caltech researcher Wei Gao accurately detects cortisol levels in near real-time, allowing for non-invasive monitoring of stress and mental health conditions. The sensor has been tested on healthy individuals and patients with depression and PTSD, showing promising results.
Scientists at Japan Science and Technology Agency developed a method to couple a magnetic sphere with a sensor using quantum entanglement, enabling single-shot detection of magnetic excitations. The device's sensitivity is comparable to that of theoretical dark-matter particles, opening new avenues for research.
Researchers developed a highly sensitive sensor, the ultrathin crack-based strain sensor (UCSS), which can detect small movements. The UCSS is inspired by a spider's slit organ and has remarkable sensitivity to movement, allowing it to monitor tiny pulse movements and detect subtle changes in temperature.
A Virginia Tech assistant professor has received an NSF CAREER award to develop a system measuring air pollution using bicycles and smartphones, aiming to educate citizens about pollution and promote cleaner habits. The project will also explore alternative urban design approaches to reduce exposure.
A new, battery-free sensor can detect water leaks in buildings, enabling greater protection and reducing costs. The sensor, powered by nanotechnology, sends alerts to smartphones when exposed to moisture, making it more accessible for building owners.
Researchers developed a thin, soft magnetic sensor matrix sheet system with tenfold improvement in sensitivity, enabling real-time visualization of magnetism. The system can be attached to the skin without causing discomfort and has high spatial resolution due to its high permeability.
Researchers from Dresden and Osaka present a pioneering active matrix magnetic sensor system that overcomes the obstacle of interconnecting individual sensors. The system consists of organic thin-film transistors integrated within a single platform, demonstrating high magnetic sensitivity and robustness against mechanical deformation.
A new device uses magnetic fingerprinting to identify hidden metal objects, offering a smaller and cheaper alternative to traditional security systems. It can detect a wide range of metallic objects, from cellphones to hammers, with improved accuracy and low power consumption.
Researchers at the University of Warwick developed an AI technology that can detect hypoglycaemic events from raw ECG signals using wearable sensors with 82% reliability. This non-invasive method could replace fingerprick testing, particularly useful for pediatric patients.
Michael Vasilyev, a UTA professor, was recognized as a Fellow of the International Society for Optics and Photonics (SPIE) for his achievements in nonlinear-optical signal processing. He solved the problem of making all-optical regenerators process multiple data channels at once, reducing cost, size, and power consumption.
Researchers at Stanford University found that birds utilize drag to support their body weight during takeoff, employing lift as a brake in landings. This new understanding challenges conventional wisdom about the role of drag and lift in flight.
Researchers at NIST have created a high-resolution camera with over 1,000 sensors to detect chemical signs of life on other planets and dark matter. The camera's success is crucial for future space-based telescopes and NASA's Origins Space Telescope project.
Researchers at Worcester Polytechnic Institute have created a wearable baby oxygen monitor that measures blood oxygen levels wirelessly and accurately. The device has the potential to improve healthcare outcomes for sick infants and adults with respiratory conditions.
A new protocol, On-Off Noise Power Communication (ONPC), extends Wi-Fi signal range by over 60 meters using software updates. The innovation requires no new hardware and can supplement existing Wi-Fi networks.
Researchers from FEFU and international colleagues develop a multi-purpose sensor using nanotextured gold film, enabling trace-level molecule detection in liquid and gas environments. The sensor's sensitivity is attributed to resonant optical properties of nanoantennas created by femtosecond laser printing.
Scientists are developing a highly sensitive detector capable of sensing single photons, which could be crucial for finding Earth-like planets around other stars. The detector leverages Quanta Image Sensor technology and has several advantages, including the ability to operate at room temperature and resistance to radiation.
A new laser-based sensor called LAMBDIS effectively detects buried objects while a vehicle is in motion, overcoming the challenge of existing technologies' sensitivity to environmental vibrations. It achieved comparable results to traditional laser Doppler vibrometers in laboratory and field tests.
The new sensor uses metamaterials to eliminate the need for a dielectric filter, reducing size and energy consumption. It can detect gas concentrations with high sensitivity, using less energy than commercial systems, making it ideal for automotive, consumer electronics, and medical applications.
Researchers at the University of Pittsburgh have developed a portable breathalyzer that can detect tetrahydrocannabinol (THC) in a user's breath. The device uses carbon nanotubes to measure THC levels and has been shown to be comparable to mass spectrometry methods.
A tiny fibre-optic sensor has the potential to save lives in open heart surgery and during surgery on pre-term babies. The continuous cardiac flow monitoring probe is a safe way to give real-time measurement of blood flow.
A hair-sized probe developed by scientists can measure key indicators of tissue damage deep in the lung, improving patient assessment and treatment. The technology offers fast, accurate measurements and flexibility to add more sensors, applicable to other body regions and inflammatory diseases.
Scientists at Tohoku University create a displacement sensor to measure the gravity of extremely small masses, shedding light on the nature of gravity in quantum regimes. The research enables experimentation with gravitational coupling between small masses, paving the way for new discoveries.
A new protein-based sensor can detect tiny amounts of lanthanides, a crucial component of smartphone screens and electronics. The sensor uses a shape change to bind to the metal, allowing for rapid and inexpensive detection at the location of sampling.
Researchers at KAUST developed a new sensor using fluorinated metal-organic frameworks (MOFs) that can detect critical gas parameters for human comfort and safety. The MOFs can selectively remove sulfur dioxide from flue gas with high affinity, making them suitable for carbon capture and storage applications.
A smart fabric system developed by Dartmouth College researchers uses off-the-shelf fabrics to monitor joint rotation and provide real-time feedback for athletic coaching and physical therapy. The wearable is lightweight, washable, and comfortable, achieving a low median error of 9.69º in reconstructing elbow joint angles.
Researchers developed a heat-resistant sensor system that precisely monitors industrial drying, baking, and cooking processes. The system improves product quality, optimizes the production process, and lowers energy demands.