Articles tagged with Sensors
The journal focuses on advancing scientific understanding and expanding engineering horizons through rigorous peer-reviewed, open-access research. ASI aims to be the preeminent hub for pioneering next-generation scientific tools and fostering global collaboration.
A research team led by Prof. Wang Zuankai has discovered the mechanism behind mechanoelectrical perception in sea urchin spines, which allows them to detect water flow instantly. The team has developed a bionic metamaterial sensor using gradient porous structure and 3D printing, holding promise for sensing technology breakthroughs.
Researchers at MIT have developed a new technique using generative artificial intelligence models to overcome the precision bottleneck in wireless vision systems. The method produces more accurate shape reconstructions, which could improve robots' ability to grasp and manipulate objects blocked from view.
Wavelogix, a concrete sensor manufacturer, has received a $500,000 grant from the National Science Foundation to refine and scale its Rebel concrete strength sensing system. The system enables faster, data-driven decisions through real-time concrete strength monitoring.
Researchers developed a wearable vibration sensor capable of detecting subtle body movements without external power, opening new possibilities for healthcare technologies. The sensor accurately captures physiological signals and detects extremely faint vibrations across a broad frequency range.
The new dynamic shielding layer allows the sensor to focus on specific areas when needed, achieving a 104.56% increase in detection depth. The sensor can also detect approaching objects from over 90mm away, providing a vital split-second for robots to avoid collisions.
The SwRI MST 8x8 probe uses guided-wave technology to detect corrosion in storage tanks with exceptional accuracy. It reduces expensive downtime by allowing inspections without emptying the tank, improving inspection safety in hazardous spaces.
Roadside radar sensors like EyeDAR enhance automotive radar systems by capturing reflections from obstacles, reducing blind spots and improving sensing accuracy. This technology has potential applications in robots, drones, and wearable platforms, complementing artificial intelligence with analog design.
Researchers developed a sensor that can detect the chemistry of a single drop of body fluid using a hair-thin optical fiber probe. The device measures electrical conductivity through an optical signal, allowing for stable and real-time measurements in small volumes.
The FAU project will integrate high-resolution modeling, observational data, and advanced machine learning to improve understanding of regional sea-level variability in the Gulf of America. The team aims to produce decision-relevant scenario outputs and empower stakeholders with actionable information for future-oriented decisions.
Researchers at IMDEA Networks Institute discovered that tire pressure sensors in modern cars can be used to track vehicles and infer movement patterns. The study highlights the need for stronger security measures in future vehicle sensor systems.
Researchers developed a nickel-enriched biochar from marine microalgae that can detect hydrogen peroxide at low concentrations, with fast response times. The sensor's stability and sensitivity are improved by the uniform distribution of catalytic sites.
Researchers at Linköping University have developed an AI-boosted electronic nose that can detect ovarian cancer from blood plasma samples with high accuracy. The method uses machine learning to identify patterns specific to the disease, making it a promising tool for early detection and improved survival rates.
A novel wireless origami-inspired smart cushioning device has been developed to monitor deformation and detect damage to transported goods. The self-folded origami honeycomb device, integrated with passive wireless sensors, can provide real-time information on load conditions and impact.
MIT engineers developed a manufacturing method that enables secure, fingerprint-based authentication on CMOS chips, eliminating the need for external secret storage. This technique uses shared fingerprints between two chips, improving privacy and energy efficiency in power-constrained electronic systems.
Researchers at Jeonbuk National University have developed a new method for detecting microplastics using metal oxide electrodes, offering a rapid and sensitive solution for environmental monitoring. The technology has the potential to replace traditional spectroscopic methods with its portability, low cost, and real-time capabilities.
A hierarchical 3D LiDAR localization method improves robot positioning in large outdoor spaces even after seasonal changes. The method integrates deep learning techniques to extract discriminative local features from 3D point clouds, making it robust to environmental variability.
The Global Exposome Forum is a global initiative that aims to understand the complex interplay between biological, chemical, and environmental exposures and human health. The project has partnered with national governments, scientific institutions, and large membership-led organizations to advance exposomics science.
A portable optical system detects glucose in human sweat with high sensitivity and selectivity, suitable for real-world daily glucose monitoring. The system uses nanostructured plasmonic materials and molecular recognition chemistry to achieve reliable detection without enzymes or fluorescent labels.
Researchers developed a holistic monitoring system to investigate lake ecosystems' sensitivity to boat traffic, weather, and climate change. The system, WAMOS, accurately analyzes wave patterns and assigns causes, enabling precise modeling of ecosystem effects.
A drone equipped with low-cost air quality sensors has revealed unexpectedly high concentrations of particulate matter at around 100 meters above ground level in Delhi. The findings suggest that current model simulations underestimate PM2.5 mass concentrations during morning haze episodes, highlighting the need for better mitigation st...
Researchers at Washington State University developed a wearable biosensor that measures sugar levels in the fluid around cells using microneedles and sensors. The sensor is more sensitive, smaller, and painless than current models, making it a potential game-changer for diabetes patients.
Researchers developed MAPPI, a system that enables real-time visualization of how a plant's leaves, stem, and roots communicate with each other in response to environmental stress. The system reveals bi-directional communication between leaves and roots, overcoming limitations of traditional microscopy.
Researchers at the University of Pennsylvania have developed HoloRadar, a system that enables robots to reconstruct hidden 3D spaces beyond their line of sight using radio waves processed by AI. This capability can improve safety and performance in driverless cars and cluttered indoor settings.
A research team has developed a 'SUPER' platform that utilizes synthetic small RNAs as add-on controllers for genetic switches. This technology enhances the performance and stability of gene regulatory devices by addressing the issue of 'leakage', where genes continue to express at low levels even in the 'OFF' state.
Researchers develop a rigid organic crystal that emits red light under UV irradiation through excimer formation and generates green light through second harmonic generation under near-infrared exposure. The dual-mode optical behavior operates independently within the same crystal without interference.
Researchers at Chalmers University of Technology have developed a compact, humidity-tolerant sensor that detects hydrogen gas in humid environments. The sensor uses platinum nanoparticles to measure the concentration of hydrogen by analyzing the thickness of a water film on its surface.
Researchers developed a chemiresistive gas sensor that dramatically improves ethanol detection by integrating ultrathin catalytic nanosheets onto a conventional metal-oxide sensing film. The resulting device responds strongly to ethanol concentrations spanning from parts per million down to a few parts per billion.
Scientists have developed a new optical device that can generate both electric and magnetic vortex-ring-like light patterns, known as skyrmions. The device uses a nonlinear metasurface to achieve the first experimental demonstration of skyrmions that can be switched between electric and magnetic modes in toroidal terahertz light pulses.
Researchers created eco-friendly, high-performance gas sensors with blended polymer films combining poly(3-hexylthiophene) and poly(butylene succinate). The sensors demonstrated stable performance and higher sensitivity to nitrogen dioxide and other gases.
Researchers have developed molecular probes called ABATaRs to detect biomolecules using standard Raman microscopes. These new sensors can detect biomolecules at low micromolar concentrations and function as ratiometric sensors, allowing for simultaneous detection of multiple molecules in live cells.
Researchers developed a low-cost, eco-friendly sensor using biochar from sewage treatment plant sludge to detect trace levels of trimethoprim in water and pharmaceutical samples. The device offers a sustainable way to monitor antibiotic pollution.
Researchers at the University of Michigan developed a pair of sensors that can detect ice and freezing rain, alerting pilots to potential hazards and reducing crashes. The sensors use microwaves and lasers to detect ice on planes and roads, potentially saving lives by slowing down drivers and preventing accidents.
Scientists at the University of Surrey have created ultra-sensitive nanofiber-based sensors that can harness power from gentle movements, enabling continuous and maintenance-free sensing. These breakthrough sensors have potential applications in sleep disorder monitoring and dementia care.
A new low-crosstalk iontronic e-skin design suppresses mechanical strain propagation while maintaining sensitivity, enabling stable and reliable multi-point spatial perception. This system achieves efficient Braille recognition with auditory feedback, providing a promising technological pathway for assistive tactile sensing applications.
Researchers developed a wearable Revoice device that decodes speech signals and emotional cues to enable seamless real-time communication in people with post-stroke dysarthria. The device achieved a word error rate of 4.2% and sentence error rate of 2.9%, showing promising results for stroke rehabilitation.
Researchers propose a hierarchically converged defect-engineering strategy to construct a multidimensional ZnO/Bi₂O₃/BiOCl/BP/MXene heterojunction photoelectrode framework. This targets modulation increases the electrochemically active surface area, optimizes energy-level alignment, and establishes efficient carrier transport pathways.
Researchers developed a new approach to teach robots to learn human grasping skills, enabling adaptive and universal grasping to diverse objects. The framework captures multimodal tactile data and encodes it into high-level semantic grasping states, allowing robots to recognize general states of interaction.
A team of researchers from Chonnam National University has developed a novel superpixel-based virtual sensor framework for full-field vibration measurement. The approach offers robust and accurate motion estimation without the need for physical markers or contact sensors, making it suitable for large-scale infrastructure monitoring.
Researchers build a robot to demonstrate how tropical bats spot insects perched on leaves using echolocation, revealing a plausible mechanism for the acoustic mirroring effect. The study suggests that bats can efficiently determine leaf occupancy by scanning sounds from an angle and listening for echoes.
A tiny sensor developed by KAUST researchers can detect hazardous head impacts with 360-degree accuracy, distinguishing minor bumps from severe blows. The device's innovative design allows it to operate without power or routine upkeep, paving the way for next-generation wearable safety systems.
A portable biosensor developed at La Trobe University can rapidly detect toxic per- and polyfluoroalkyl substances (PFAS) in water. The device provides a simple yes or no result, allowing for quick and easy screening of water samples, particularly in regional and remote areas where monitoring is challenging.
Researchers from Chonnam National University propose a novel delay-compensated control strategy that eliminates current sensors in boost PFC converters. This simplifies circuitry, reduces hardware failure points, and enhances power quality, leading to smaller, more efficient, and cost-effective power adapters.
A recent study recreated the July 4 flood conditions and found multiple spots upstream where local communities could have placed water level monitors to give early warnings about rising water. The research aims to make those sensors cheap, easily accessible, and open source so anyone can use them.
Researchers developed an electronic nose that can detect and identify two common indoor mold species using nanowires. The e-nose measures changes in electrical resistance to gas molecules interacting with a sensing material, proving its potential for fast and objective monitoring of indoor air quality.
Researchers at Penn and UMich created microscopic swimming machines that can independently sense and respond to their surroundings, operate for months, and cost just a penny each. The robots are powered by light and can be programmed to move in complex patterns, sense local temperatures, and adjust their paths accordingly.
Scientists developed a Rydberg-atom detector to measure weak terahertz signals, enabling precise spectroscopy and quantum sensors. The detector uses a gas of rubidium atoms in a Rydberg state, tuning them to specific frequencies for calibration.
University of Missouri researchers are combining in-home sensor technology with artificial intelligence to monitor daily changes in ALS patients' health. The system uses machine learning to estimate a patient's score on the ALS Functional Rating Scale Revised, predicting potential problems before they occur.
A reconfigurable omnidirectional triboelectric whisker sensor array (RO-TWSA) enables multidirectional force sensing, portable deployment, and adaptive interaction across complex environments. The system combines an untethered hydro-sealing suction mechanism with a high-sensitivity MXene-enhanced triboelectric whisker structure.
Professor Owen Guy has received the SEMI Academia Impact Award for his outstanding contributions to semiconductor research, innovation, and industry-academia collaboration in Europe. He is Director of Swansea University's Centre for Nanohealth and a member of its Centre for Integrative Semiconductor Materials.
Researchers have developed MXene materials that act as ultra-sensitive sensors and neuromorphic synapses, enabling self-powered edge-intelligent systems. The devices deliver femto-joule per spike consumption and perform weighted summation and activation without external ADC or DRAM.
A new organogel pressure sensor, developed by Prof. Sang-Jae Kim's team, demonstrates sub-zero toughness, self-healing, and AI-grade pattern recognition. The device achieves 98% accuracy in handwritten English letter classification and tracks bio-mechanical motion with high sensitivity.
A UVA-led team is part of a national project funded by ARPA-H to create an intelligent indoor air system that detects pathogens and responds with interventions. The BRAVE system aims to revolutionize public health by anticipating and mitigating outbreaks before they spread.
A new monitoring system using synchronized sensors provides detailed information on solar plant performance every tenth of a second, enabling more accurate predictions. This allows for more realistic auction settings and improved grid stability.
Researchers developed a bioinspired dual-mechanism iontronic pressure sensor (FIPS) that mimics human skin structure, achieving high sensitivity and full-range linearity for real-time musculoskeletal load monitoring. The FIPS platform opens new avenues for wearable biomechanics, sports medicine, and rehabilitation robotics.
The study reveals how chemical sensors discriminate among various odorant molecules using explainable AI, enabling the selection of receptor materials for high-performance sensors. This breakthrough advances understanding of human olfaction and paves the way for practical application of artificial olfaction technology.
Researchers at the University of California San Diego have developed an electronic sticker that monitors vitamin C levels using sweat from fingertips, providing a convenient and low-cost alternative to current methods. The system is battery-free and can be manufactured at a low cost, making it potentially disposable and widely accessible.
Researchers designed a self-powered, compact tactile interface using an MXene/Bi 2D heterojunction. The device combines sensing, encoding, and low-power readout, achieving high sensitivity, fast response, and durability.
The researchers developed a chromatic filtration strategy to narrow the emission spectrum of mechanoluminescent materials, resulting in high spectral resolution and reduced noise. The new technology has significant potential for applications such as wearable sensors and healthcare motion monitoring.
Researchers at the University of Turku developed a groundbreaking organic infrared photodiode with record-level sensitivity, addressing limitations of current devices. The new technology uses polaritons to achieve narrowband detection with high responsivity, ultrafast response, and exceptional thinness.