Articles tagged with Sensors
A team of researchers observed first- and second-order dissipative phase transitions in a two-photon driven Kerr resonator, showcasing the transformative power of quantum systems. The study demonstrates the validity of theoretical predictions and opens new possibilities for engineering stable and responsive quantum systems.
A new study proposes a theoretical framework for AI-based wearable blood pressure sensors, paving the way for non-invasive and continuous cardiovascular monitoring. The review highlights clinical aspects of implementation, real-time data transmission, and signal quality degradation, and presents strategies to address technical barriers.
Researchers at the University of Kansas are partnering with regional high schools to train about 500 students in AI coding and microelectronics. The program aims to develop a workforce that can specialize in AI and microelectronics, with a focus on community-centered projects and altruistic goals.
Scientists at Oak Ridge National Laboratory developed a new way to measure high-speed fluctuations in magnetic materials. This discovery could lead to advancements in technologies such as computing and data storage.
A researcher is using accessible 3D scanning technologies to document and analyze stranded marine mammals, providing precise morphometric assessments and creating interactive visualizations. This approach enhances data collection, democratizes access, and expands the impact of conservation efforts worldwide.
Researchers have developed a new AI tool that uses sensors and real-time data to predict water quality across the US. This tool can be applied nationwide, benefiting communities by providing water quality forecasts, streamlining operations, and informing strategies for managing turbidity in basins worldwide.
The Dielectric Elastomer Sensor (DES) offers real-time pressure and vibration monitoring in soft fluidic actuators, ideal for robotics and biomedical devices. The sensor's flexibility and ability to withstand large deformations make it suitable for applications in automobile designing and structural health monitoring.
Researchers created a fiber computer that can be integrated into clothing to track health conditions and physical activity. The technology achieved an average accuracy of 70% when individually operated, but increased to nearly 95% when connected collectively.
Researchers have developed a highly sensitive water contamination detection tool using a cantilever-based test that can detect metals like lead and cadmium at concentrations down to two and one parts per billion. The technology merges synthetic biology and nanotechnology, enabling rapid detection of chemicals in water.
Researchers at Chuo University developed a non-destructive image sensor with a freely coatable and paintable design for functional photo-thermal modules. The new design enables the full utilization of photo-thermoelectric (PTE) sensors, overcoming trade-off trends between photo-absorptance values and Seebeck coefficients.
Researchers developed heteroepitaxial diamond quantum sensors with high sensitivity and accuracy for monitoring electric vehicle battery systems. The breakthrough could pave the way for widespread adoption in industries related to sustainable development.
A new study from USC Dornsife finds that LA's urban greenery absorbs up to 60% of daytime fossil fuel CO2 emissions in spring and summer, providing valuable insights into the impact of trees on air quality. The research provides data-driven insights for future planting efforts and informs the USC Urban Trees Initiative.
A new laser-based device can analyze gas samples with high precision, detecting molecules at minute concentrations. The technology has potential applications in medical diagnostics, tracking greenhouse gas emissions, and more.
Researchers developed a novel bio-hybrid drone by integrating robotic technology with biological odor sensors from insects, overcoming visual sensor limitations. The drone's enhanced performance enables accurate odor detection and tracking, broadening applications in gas sensing, disaster response, and rescue operations.
Researchers created printed fabric sensors that can detect tiny skin movements for sleep disorder monitoring. The smart pyjamas achieved an accuracy of 98.6% in identifying six different sleep states, including nasal and mouth breathing, snoring, and teeth grinding.
A new, inexpensive measurement device can measure both pressure and acceleration using a single design and method, saving costs and simplifying manufacturing. This technology has potential applications in medical care, disaster mitigation, landslide alerts, and heavy-machinery maintenance.
The study reveals that relaxor ferroelectrics like lead magnesium niobate-lead titanate (PMN-PT) exhibit improved performance when shrunk down to a precise range of 25-30 nanometers. This 'Goldilocks zone' size effect could enable advanced applications such as nanoelectromechanical systems and energy harvesting.
Researchers developed a new flexible sensor that accurately measures both temperature changes and physical strain simultaneously, enabling clear pinpointing of signals. The sensor, made from laser-induced graphene, can detect small temperature changes and is self-powered, making it ideal for continuous monitoring in clinical settings.
Researchers from Japan develop a non-contact, millimeter-wave sensor system to monitor respiratory motion during diagnostic X-ray and CT imaging. The system has been validated through extensive testing with healthy volunteers and shows promise for improving diagnostic accuracy and treatment outcomes.
Researchers developed a new approach to enhance spatial resolution of distributed temperature sensing, achieving a theoretical spatial resolution of 4.8 cm. This breakthrough uses perfluorinated graded-index POFs with high temperature sensitivity and low strain sensitivity.
Researchers have developed a new, low-cost triboelectric nanogenerator (TENG) that harnesses the power of tacky tape to generate electricity. The device produces up to 53 milliwatts of power and can light over 350 LED lights or power a laser pointer.
Researchers developed a simple and sensitive optical fiber sensor for real-time detection of extremely low levels of arsenic in water. The sensor can detect arsenic levels as low as 0.09 ppb and provides analysis within just 0.5 seconds, making it a powerful tool for monitoring and ensuring safer water quality.
Researchers have discovered a new way to measure magnetic field orientation using tiny atom-based compasses. The technology has the potential to create precise measurement devices for various applications, including navigation, brain imaging, and medical research.
Research finds that aerosols from Canadian wildfires of summer 2023 contributed to the formation of ice clouds over the Arctic. Aerosol particles were transported via atmospheric rivers and contributed to ice cloud formation at temperatures warmer than usual.
Researchers have identified top-performing sensing materials and mechanisms for detecting greenhouse gases, including palladium-tin dioxide nanoparticles and tungsten trioxide nanowires. These advanced materials demonstrate improved sensitivity, response time, and recovery time compared to traditional sensors.
Researchers at Chung-Ang University have developed a novel hydrovoltaic device that can produce up to a few tens of microwatts and responds quickly to evaporation-driven changes in water flow, making it suitable for fire detection. The device also exhibits excellent stability over extended periods.
Researchers developed biodegradable paper-based temperature and humidity sensors that detect changes in relative humidity levels from 20% to 90% and temperature variations from 25°C to 50°C. These sensors are affordable, reusable, and environmentally friendly, offering a potential solution for precise monitoring of plant growth.
Researchers used novel fluorescent sensors to track pH and H2O2 levels inside autophagic vesicles, revealing high levels in the middle stage of autophagy. The discovery opens up new avenues for understanding autophagy in health and disease, potentially leading to new ways of treating diseases associated with impaired autophagy.
Researchers discovered how polarons behave in tellurene as it becomes thinner, revealing changes in electrical transport and optical properties. This knowledge could inform the design of advanced technologies like more efficient electronic devices or novel sensors.
The Institute of Physical Chemistry of the Polish Academy of Sciences has developed a novel system for determining potassium levels in liquid food samples using fast and non-destructive techniques. The low-cost, ion-selective syringe electrodes offer excellent selectivity and linear range, making them suitable for point-of-care devices.
The Department of Energy's new research centers, led by SLAC National Accelerator Laboratory, aim to make microelectronics more energy efficient and operate in extreme environments. Researchers will focus on innovating material design, devices, and systems architectures to push computing and sensing capabilities.
Researchers develop precision techniques using optical sensors and AI to facilitate efficient and accurate food drying. The study discusses three emerging smart drying techniques, providing practical information for the food industry.
Researchers optimized the design of sensors in autonomous vehicles to reduce aerodynamic drag, resulting in a 3.44% decrease in total drag and 5.99% reduction in aerodynamic drag coefficient. This improvement enables longer driving ranges for self-driving cars.
Researchers have created a new circuit model that accounts for small changes to the sensor's behavior, allowing it to detect protein or DNA molecules from a sample. The device could lead to earlier diagnosis of diseases and more precise therapies tailored to each patient.
Researchers at Aalto University developed a new type of infrared photodiode that is 35% more responsive at 1.55 µm than existing germanium-based components. The new device can be manufactured using current production techniques, making it highly practical for adoption in various technologies.
Scientists have studied common noctule bats on their spring migration across Europe, using ultra-light sensors connected 'like cell phones' to track their movements. The study reveals that bats surf storm fronts to conserve energy and migrate further, with some individuals covering over 400 kilometers in a single night.
Researchers at Institute of Science Tokyo developed a method to detect wind direction using seven strain gauges on a flapping wing and a convolutional neural network model. The system achieved high classification accuracy of 99.5% in detecting wind conditions, opening up new possibilities for improving robotic flight control.
Researchers from Okayama University create nanodiamonds with nitrogen-vacancy centers, exhibiting strong fluorescence and stable spin states for biological applications. The developed nanodiamonds have improved spin quality compared to bulk diamonds, making them suitable for bioimaging and quantum sensing.
Researchers demonstrate how grape pairs can create strong localized magnetic field hotspots of microwaves used in quantum sensing applications. The study could help develop more compact and cost-effective quantum devices.
A research team at Seoul National University developed a hypersensitive, flexible strain sensor that can detect infinitesimal strains as small as 10−5. The sensor, with meta-structured cracks, enables real-time blood flow monitoring for early stroke diagnosis and cerebrovascular disease detection.
A French research team has developed a method to manage animal-vehicle collisions by deploying camera trap networks and leveraging artificial intelligence and ecological modeling. The approach simulates animal movements, identifies collision hotspots, and estimates species abundance, providing a map of collision risk.
Chungnam National University researchers developed a magnetoplasmonic strain sensor that changes color in response to mechanical stress, offering a reliable and user-friendly solution for real-time health and activity tracking. The device is powered-free, versatile, and ideal for use in remote or extreme environments.
A copper-containing, electrically conducting, two-dimensional metal–organic framework has been developed for the highly selective detection of nitric oxide. The material detects NO at room temperature with high sensitivity and selectivity, making it suitable for air quality monitoring and medical applications.
Researchers developed miniature implantable sensors that transmit real-time data on bone healing, showing resistance training can significantly improve femur injuries in rats. The sensors provided detailed ongoing data on the mechanical properties of the bone, allowing for tailored rehabilitation programs.
The study creates ultra-stable thin-film polariton filters with exceptional angular stability, transmitting up to 98% of light, even at extreme viewing angles. This technology has enormous scientific and economic potential for applications in display technology, sensor technologies, biophotonics, and more.
The LabEmbryoCam is a robotic instrument that autonomously monitors embryonic development in aquatic species, providing insights into how environmental conditions impact early life stages. The open-source instrument enables scientists to track key features such as heart rate and growth in large numbers of embryos simultaneously.
Researchers have developed implantable sensors that track protein levels in real time, enabling continuous monitoring of inflammation at the cellular level. The technology has been successfully tested in diabetic rats, detecting changes in cytokine proteins associated with inflammation.
A new implantable device, inspired by a tree branch, uses DNA sensors to continuously monitor inflammation biomarkers in the body. The device accurately measures protein biomarkers of inflammation in diabetic rats and has potential applications for managing acute and chronic conditions.
Ocean scientists will deploy sensors onboard high-tech floats to study tiny turbulent movements that pull water, heat, and chemicals from the surface down into the deep. This ventilation helps regulate the Earth's climate and buffer against human-induced climate change.
Researchers from the University of South Australia have developed a celestial navigation system that uses visual data from stars to provide an alternative means of nighttime navigation in environments where GPS is unavailable or unreliable. The system has been tested on a fixed-wing drone and demonstrated accurate positioning within fo...
Scientists at the University of Texas at Austin and UCLA have created an e-tattoo that can measure brain activity using electroencephalography (EEG). The new method uses a camera to map the individual head's shape digitally, allowing for more precise sensor placement. This innovation could transform brain-computer interfaces, making th...
Scientists have developed a liquid ink that can be printed onto a patient's scalp to measure brain activity, offering an alternative to traditional EEG tests. The e-tattoo technology is quick, comfortable, and stable, with potential applications in non-invasive brain-computer interface devices.
Researchers from Brazil and Spain developed computer models to estimate crop maturity and yield using remote sensing technologies, increasing productivity and reducing CO2 emissions. They also created a system to estimate soil moisture levels with high accuracy, helping growers manage water usage more efficiently.
A team of researchers developed a novel sensor that attaches directly to the underside of plant leaves to measure leaf color without blocking sunlight. The sensor can track changes in the same spot over time and provides fine-tuned readings for real-time monitoring.
Researchers demonstrate transverse thermoelectric conversion in WSi2 for the first time, using mixed-dimensional Fermi surfaces to enable TTE effect. The study paves the way for developing new sensors and efficient thermoelectric materials.
A novel physical reservoir computing device uses a dye-sensitized solar cell to mimic human synaptic elements, enabling efficient time-series data processing and low power consumption. The device achieved high computational performance in tasks such as human motion classification with over 90% accuracy.
Researchers in Lithuania have developed Forest 4.0, a smart forest data processing model that enables real-time monitoring of forest conditions, sustainable resource accounting, and transparent governance. The system uses IoT sensors and AI algorithms to detect tree diseases, illegal logging, and predict changes in forest ecosystems.
A team of researchers at the University of California San Diego has developed a clinically validated, wearable ultrasound patch for continuous and noninvasive blood pressure monitoring. The device offers precise, real-time readings of blood pressure deep within the body, providing detailed trends in blood pressure fluctuations.
The 8th Digital Olfaction Society World Congress highlights groundbreaking advancements in digital olfaction, from smart necklaces to drones equipped with olfactory sensors. The event showcases innovative applications of scent digitization technologies, including virtual reality systems and e-nose devices for early disease detection.
Researchers have developed sensitive ceramic sensors that can selectively respond to pressure or temperature, which are integrated into a prosthetic hand and a robotic skin. The goal is to enable safe collaboration between humans and machines, with applications in medicine and industry.