Articles tagged with Sensors
Researchers at the University of Sydney have developed a new strategy to precisely measure position and momentum simultaneously, sacrificing some global information for finer detail. This breakthrough could enable ultra-precise quantum sensors for navigation, medicine, astronomy, and fundamental physics applications.
Researchers developed a palm-sized, portable multimaterial printer using electrowetting on dielectric technology to print conductive and insulating liquids. The printer allows for on-site fabrication of origami devices with customizable shapes and functions, enabling site-specific sensor deployment in resource-limited environments.
Researchers developed a flexible optical touch sensor that can pinpoint pressure strength and location with high sensitivity. The sensor uses multiple optical channels to detect pressure in more than one spot, enabling smart interfaces and devices.
Researchers at NIST have discovered a way to design entangled quantum objects called qubits to correct errors caused by environmental noise. This approach enables the sensor to become more robust in the face of noise while maintaining its additional sensing advantage. The findings, detailed in Physical Review Letters, could lead to the...
The £250 million investment will create an Advanced Marine Technology Hub at the University of Plymouth, leveraging its expertise in autonomous marine systems, maritime cyber security, and renewable energy. This initiative aims to boost the city's economy and enhance UK's national resilience.
Professor Paul Motzki is developing ultra-flat, compact, and lightweight cooling units using shape memory alloys and dielectric elastomer actuators. He aims to create climate-friendly and energy-efficient alternative to conventional systems.
Researchers have developed a living sensor that attaches to plastic and produces green fluorescence, detecting environmentally relevant levels of microplastics in real-world water samples. The biosensor uses a genetically engineered bacterium to activate when bacterial cells contact plastic, producing measurable fluorescence within hours.
Researchers developed a hybrid kiri-origami structure to overcome the trade-off between flexibility and function in stretchable electronics. The design features a mutual orthogonal cutting line pattern, allowing simultaneous mounting of rigid components and stretching.
Researchers developed novel sweat sensors that mimic the microtexture of rose petals, enhancing stability, performance, and comfort. The sensors demonstrate a self-cleaning effect, reducing skin irritation and improving user comfort, making them suitable for wearable devices like smartwatches.
Researchers at MIT have developed a compact frequency comb that can accurately detect and identify chemicals in real-time, with high scalability and flexibility. The device uses a carefully crafted mirror to generate a stable frequency comb with very broad bandwidth, overcoming the challenge of dispersion limitations.
The research, led by MIT mechanical engineering graduate student Marwa AlAlawi, developed a reconfigurable antenna using auxetic metamaterials that can change its frequency range by changing its physical shape. The device is durable, inexpensive, and can be fabricated using a laser cutter.
Washington State University researchers developed an AI model that can accurately identify everyday activities from smartwatch data, achieving an accuracy rate of 78%. This breakthrough has potential applications in assessing cognitive health, rehabilitation, disease management, and surgical recovery.
Researchers at Rice University have demonstrated a strong form of quantum interference between phonons, revealing record levels of interference. The breakthrough could lead to new technologies in sensing, computing, and molecular detection.
Researchers have developed a catalyst-free ionogel made from cellulose and an ionic liquid that exhibits exceptional strength and conductivity, outperforming synthetic analogues. The gel is also eco-friendly and low-cost, making it suitable for fully compostable high-performance electronics.
A recent study analyzed hourly data from nearly 750 low-cost and regulatory air pollution sensors throughout LA to understand the impact of wildfires on air quality. The findings suggest that combining different data sources, including ground-based sensors and satellite data, can provide more accurate and comprehensive information.
A new optoelectronic nose design detects deadly gases by using microscopic silica particles coated with dyes that change color intensity in the presence of specific molecules. The sensors achieved high accuracy rates, including 99% for identifying chemical threats and 96% for measuring gas concentrations.
Researchers found that cellphone sensor data can be linked to a wider array of mental disorder symptoms, including those not specific to any one condition. The study used statistical analysis to correlate sensor data with symptom dimensions, revealing correlations with both specific behaviors and a general p-factor marker.
The system tracks and analyzes crop development using data from sensors, biosensors, the Internet of Things, and AI. Strong security protocols ensure farmer data remains private and resilient against future quantum computer attacks. The research team plans to improve their system with faster sensor processing and a solar-powered battery.
A research team developed an innovative unsupervised model for industrial anomaly detection using paired well-lit and low-light images. The model leverages feature maps, Low-pass Feature Enhancement, and Illumination-aware Feature Enhancement to detect anomalies while remaining lightweight and memory-efficient.
Researchers from Trinity College Dublin develop a method to harness structural colour using microfabrication technique, enabling ultra-sensitive materials for environmental sensing and biomedical diagnostics. The breakthrough also paves the way for next-generation medical sensors that can track biochemical changes in real-time.
Researchers have developed a biomimetic sensor using cultured taste bud organoids and microelectrode arrays that can accurately identify five basic tastes. The findings mark a significant step forward in building intelligent, biologically inspired platforms for real-time and objective taste evaluation.
A new artificial biosensor developed by University of California, Santa Cruz's Andy Yeh can accurately measure cortisol levels across all relevant ranges for human health. The sensor uses a smartphone camera to detect light emissions, providing high sensitivity and dynamic range for detecting small molecule analytes.
Researchers have developed soft artificial muscles that provide the performance and mechanical properties required for building robotic musculoskeletal systems. The new muscles can be battery-powered, enabling robots to move more naturally and safely in unstructured environments.
Scientists create a new class of mechanochromic mechanophores that can detect and respond to mechanical stress in polymeric materials through fluorescence. The developed molecule exhibits excellent stress-sensing with high durability, offering a powerful tool for real-time monitoring of mechanical damage.
Researchers have developed a mechanical adhesive device that can attach to soft surfaces underwater, inspired by the hitchhiking sucker fish. The device uses pressure-based suction and has enhanced adhesion capabilities, making it suitable for delivering drugs in the GI tract or monitoring aquatic environments.
Researchers created a semi-permanent tattoo sticker that can detect low concentrations of GHB within seconds. The sticker's technology is inexpensive and easy to manufacture, making it potentially commercially available soon.
Researchers from Florida Atlantic University's Harbor Branch Oceanographic Institute have developed a multi-sensor biologging tag on the whitespotted eagle ray, enabling long attachment times and detailed data collection. The study provides insights into the rays' behavior, habitat use, and social interactions.
Researchers at UMBC developed a new way to predict 2D materials that could transform the electronics industry. Using a mix of data mining, computer modeling, and structural analysis, they predicted 83 possible new materials with desirable properties.
Laser-generated nanoparticles offer a cleaner, scalable alternative to traditional chemical synthesis methods for electronics applications. The method, called laser ablation in liquids, produces surfactant-free, highly pure metal-based nanoparticles with tailored surface properties.
Researchers developed single-atom cobalt catalysts on defective carbon nanosheets, enhancing their oxidase-like performance. The defects were found to regulate electronic distribution, improving the cleavage of oxygen-oxygen bonds and promoting catalytic activity.
MIT engineers developed a versatile demonstration interface that allows users to teach robots new skills in three intuitive ways: remote control, physical manipulation, or demonstration. This innovation expands the type of users and 'teachers' who interact with robots, enabling robots to learn a wider set of skills.
Researchers developed a novel fabrication method for thin-film temperature sensors that operate across an exceptionally wide temperature range, from –50 °C to 950 °C. The technique eliminates the need for complex protective layers, making it faster and cheaper to produce sensors.
A novel, needle-type biosensor allows for real-time monitoring of sucrose uptake in plants, revealing light-dependent stomatal uptake and daily rhythms. The sensor's high sensitivity and stability enable the detection of subtle physiological events, shedding new light on plant biology.
Researchers at NIMS developed a new theory explaining the oscillation of tunnel magnetoresistance (TMR) with changes in insulating barrier thickness. The theory resolves a long-standing mystery, providing insights into achieving even higher TMR ratios for enhanced magnetic memory and sensor applications.
Researchers found that smartphone sensors can detect major forms of psychopathology. The study's results may lead to the development of symptom monitoring tools to fill gaps in current practice.
MIT researchers have designed cheap, disposable electrochemical sensors that can detect multiple diseases using DNA-coated electrodes. The sensors were stabilized with a polymer coating, allowing them to be stored for up to two months, enabling potential use in low-resource regions and at home.
Researchers develop carbon-based multivariable sensors for efficient and versatile chemical sensing in complex environments. These sensors leverage CNTs and graphene to classify and identify multiple analytes, overcoming traditional sensing limitations.
Researchers develop smart planning systems to predict weld bead geometry and optimize deposition paths, reducing thermal stresses and defect rates. Innovations in real-time monitoring and auxiliary strategies improve material integrity and mechanical properties.
Researchers developed a high-sensitivity bimodal piezotronic sensor to monitor Achilles tendon behavior with an accuracy of 96%. The innovative sensor demonstrates exceptional performance in detecting different movement patterns.
A new imaging technique developed by MIT researchers leverages reflections from wireless signals like Wi-Fi to create accurate 3D reconstructions of objects blocked from view. This approach achieved 96 percent reconstruction accuracy on everyday objects with complex shapes.
A unique luminescent probe using terbium has been developed to detect β-glucuronidase, an enzyme that can aid in liver cancer diagnosis. The sensor's sensitivity and accuracy are comparable to conventional methods but at a lower cost, making it suitable for resource-limited settings.
Researchers develop multiresonant fiber acoustic sensor with stabilized triple-phase demodulation, achieving flat low noise floor and high sensitivity across a wide acoustic spectrum. The sensor detects weak sounds and exhibits outstanding performance in ecosystem monitoring, speech recognition, and high-intensity shock detection.
Researchers at EPFL's Bionanophotonic Systems Laboratory developed a biosensor that detects biomolecules using inelastic electron tunneling, enabling ultra-sensitive and real-time detection without bulky equipment. The sensor can detect amino acids and polymers at picogram concentrations, rivaling advanced sensors.
Researchers at TU Graz developed methods to run AI models locally on small devices with limited memory, enabling efficient positioning error correction and industrial applications. The E-MINDS project introduced a modular system using division, orchestration, subspace configurable networks, quantisation, and pruning techniques.
The team developed a novel composite material featuring platinum nanoparticles anchored on three-dimensional Na-Ti3C2Tx structures for highly efficient dopamine detection. The composite's larger active surface area enhances the stability of the structure and improves electron transfer, leading to excellent sensitivity and performance.
Researchers have developed a wearable system that reads respiratory patterns directly from wrist pulse signals, enabling continuous monitoring with high comfort and precision. The device offers a promising alternative to traditional respiratory monitors, particularly for people living with chronic conditions or recovering from illness.
Scientists at Northwestern University have developed an algorithm that enables smartwatches to more accurately monitor the calories burned by people with obesity during various physical activities. The technology bridges a critical gap in fitness technology, allowing for more accurate tracking and tailored interventions.
A team of scientists from Colorado State University and the University of São Paulo have developed a seismological solution to improve the resolution of ultrasound images for lung monitoring. This breakthrough could lead to improved critical care for patients, including continuous lung monitoring at the bedside. The technique uses seis...
Researchers at UC San Diego's Center for Wireless Communications have developed SenSync, a software-based innovation that enables real-time and accurate passive sensing using harvested radio frequency energy. The system delivers five times greater sensory resolution and eight times the data throughput compared to previous methods.
A wearable device developed by researchers in Brazil uses a camera and tactile signals to warn visually impaired users of obstacles above the waistline. The device was tested on 11 blind adults and showed promising results, with participants reporting feeling more secure and completing routes with ease.
The Florida Atlantic University Sensing Institute's SEA Econet network provides accurate rainfall and flood forecasting, supporting public safety during severe weather events. With over 160 atmospheric stations and more than 30 water-level stations across Florida, the network delivers real-time data to inform forecasts and warnings.
Quaise Energy has successfully demonstrated its novel drilling technique on a full-scale oil rig, aiming to prove that clean, renewable geothermal energy can power the world. The company's three-tier approach involves replacing conventional drill bits with millimeter-wave energy to create deeper holes and access supercritical water.
A new study from North Carolina State University and the University of North Carolina at Chapel Hill reveals that coastal flooding is occurring more frequently than previously thought. The study found major flaws with the widely used approach of using marine water level data to capture instances of flooding.
The study compares X-ray spectra from different excitation sources, including electrons and photons, to analyze the spectral differences in copper and tungsten. The results show that the intensities of certain lines remain constant across excitation methods, providing insight for interpreting spectral data.
A research team at DGIST developed an algorithm that allows inexpensive sensors to detect transparent obstacles like glass walls. The probabilistic incremental navigation-based mapping (PINMAP) algorithm accumulates rare point data and calculates the likelihood of glass wall presence, achieving detection performance comparable to expen...
A new handheld device called E-Tongue can analyze water samples and detect lead contamination, providing users with a color-coded reading and concentration value. The researchers tested the device through a citizen science project across four Massachusetts towns, finding it effective in detecting lead in drinking water.
A new non-hand-worn, load-free VR rehabilitation system has been developed using deep learning and ionic hydrogel technology, offering a more comfortable and accessible therapy solution for patients recovering from conditions like stroke and osteoarthritis. The system achieved an impressive 97.9% accuracy in recognizing hand gestures.
Researchers at the University of Utah found that outdoor air pollution from wildfires and dust events can infiltrate buildings using commercial HVAC systems with air-side economizers. However, indoor air quality remained good overall, and portable air filters can be an effective solution.
Researchers at Stanford University have developed a modular biosensor called SENSBIT that can continuously track drug concentration profiles in real time. The device has remained functional for up to seven days when implanted directly into the blood vessels of live rats.
Researchers at Tufts University have created a saliva-sensing dental floss that can accurately measure cortisol, a key indicator of stress. The device uses molecularly imprinted polymers and is comparable in accuracy to existing sensors, making it a promising tool for tracking stress and related conditions.