Articles tagged with Sensors
A team of scientists from Hokkaido University used an ocean-bottom seismometer to detect continuous seismic radiation from a glacier sliding in Greenland. The study revealed that glacial basal motion can be monitored using underwater sensors, offering new opportunities for studying ice flow and calving processes.
A study by UCI researchers found that fireworks use spikes air quality pollution, particularly in low-income communities. The team used PurpleAir sensors to track PM2.5 levels before, during and after Fourth of July fireworks, revealing a significant impact on public health.
Researchers developed sensitive SERS substrates via femtosecond laser processing for real-time sensing in biomedicine and microfluidic chips. Attomolar detection capabilities were achieved through synergistic enhancement effects, opening up new avenues for monitoring and sensing applications.
A new device that fits over a person's ears can measure real-time changes in blood alcohol levels through the skin. The device collects gas released through the skin and uses an ethanol vapour sensor to calculate ethanol concentrations.
A new SERS gas sensor developed by Prof. HUANG Qing's group can detect aldehydes with high sensitivity and selectivity, using Co-Ni LDH composite nanomaterials. The sensor's accuracy, repeatability, and selectivity have been verified through experiments.
Researchers developed an AI-powered algorithm to detect COVID-19 origins in municipal wastewater systems. The system uses automatic sensors and manhole sampling to quickly identify key locations for manual testing and contact tracing, reducing the time to locate sources from days to hours.
Researchers experimentally show that quantum methods have an advantage over classical counterparts in sensor classification, reducing errors by a small margin. The discovery opens up possibilities for real-world applications such as biomedical imaging and autonomous driving.
Researchers at Michigan Technological University discuss solutions for snowy driving scenarios using sensor fusion, which combines data from various sensors like lidar, radar, and cameras. This approach enables autonomous vehicles to better detect obstacles and understand their environment.
KICT has developed an effective structural monitoring technique to monitor massive infrastructures, such as long-span bridges. The method uses multi-fidelity data fusion to combine point and distributed strain sensors for accurate responses over whole infrastructures.
Researchers at UC Berkeley created a tiny wireless implant that can measure tissue oxygen levels in real-time, allowing doctors to monitor the health of transplanted organs and tissues. The device could also track other biochemical markers, such as pH or carbon dioxide, providing early warnings of potential issues.
A team of researchers has developed a webcam that mimics the movements of a human eye, raising questions about its potential effects on human interaction. The device's anthropomorphic design aims to encourage people to think about their relationship with sensing devices.
Whispering-gallery mode (WGM) microlasers exhibit extraordinary sensitivity for detecting physical, chemical, and biological entities, even down to single molecules. Active WGM microlasers have the potential to expand applications in biological and chemical sensing, particularly in in vivo sensing.
Researchers develop HeadFi, a plug-in headphone adapter that transforms regular headphones into sensors for user identification, heart rate monitoring and gesture recognition. The invention shows promise in upgrading existing headphones without requiring new hardware or customization.
A new sensor can detect RNA and DNA in less than a second, providing a quick way to distinguish between 'healthy' and 'sick' samples. The sensor could be used to measure DNA metabolism and predict rapid infections, potentially improving disease diagnosis and treatment.
Researchers from WMG, University of Warwick found that LiDAR sensors' effectiveness decreases in heavy rain, hindering object detection. The study simulated real-world roads and weather using the WMG 3xD simulator to test LiDAR sensor performance.
A new type of high-performance optical sensor has been demonstrated that utilizes the surface tension of liquid to concentrate and trap analyte molecules at sensitive locations, enhancing sensitivity performance. The sensor can detect picogram levels of analyte mass with readily detectable optical signals.
A new study uses mobile air quality sensors on light rail trains to monitor greenhouse gas emissions in the Salt Lake Valley. The system provides a highly cost-effective way to cover larger areas and fill gaps in emissions estimates, with results comparable to stationary sensors.
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.
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.
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 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 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 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 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.
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.
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.