Articles tagged with Electrical Engineering
A novel deep learning-based forecasting model predicts uncertain parameters related to renewable energy sources, their energy demand, and market prices. The model demonstrates improved prediction accuracy and efficiency compared to existing methods.
A POSTECH research team has developed a deep-learning approach to enhance resolution and speed in photoacoustic computed tomography (PACT) imaging. The technique enables high-resolution, real-time whole-body imaging of animals and monitors tissue movement in the heart, kidney, and brain.
Scientists from NC State University have discovered a way to manipulate the flow of heat through ferroelectric materials by applying different electric fields. The study, published in Advanced Materials, found that varying electric field strengths, types (AC/DC), time, and frequency can alter the thermal properties of these materials.
MIT researchers have developed a receiver chip that targets and blocks unwanted signals without hurting device performance. The chip uses a mixer-first architecture and block digital filtering to remove harmonic interference, enabling it to handle high-power signals effectively.
A new crosslinking strategy for organic-inorganic hybrid dielectric layers improves TFT performance by reducing leakage current and increasing stability. This approach enables low-power driving and easy manufacturing through solution processing, contributing to next-generation flexible electronic devices.
Engineers at MIT and Caltech have developed an ingestible sensor that can track its location as it moves through the digestive tract, revealing where slowdowns in digestion may occur. The sensor uses a magnetic field produced by an electromagnetic coil outside the body to calculate its position.
Researchers have discovered a way to construct and control oxygen-deprived walls in nanoscopically thin materials, which can store data in multiple electronic dialects. These walls can retain their data states even when devices turn off, paving the way for next-gen electronics with enhanced memory capabilities.
Researchers at Purdue University have made a groundbreaking discovery in the field of thermal radiation, uncovering a new method for generating spinning thermal radiation in a controlled and efficient manner. The team's findings, published in Science Advances, demonstrate the ability to generate predominantly left-handed circularly pol...
Researchers identified 7 key symptoms of long COVID, including heart issues and joint pain, in a study of 52,461 patients. The findings could help healthcare providers diagnose and treat the condition more effectively.
A new measure called c-value helps researchers choose between techniques based on the chance that a new method is more accurate for a specific dataset. The tool answers questions like whether to use alternative estimation methods despite potential costs and effort.
A new DNA biosensor developed by NIST, Brown University, and the French government-funded research institute CEA-Leti boasts accurate and inexpensive design. The modular device can measure biomarkers in a scalable and high-sensitivity manner.
A new method for measuring bifacial solar panel performance has been developed by the University of Ottawa SUNLAB team. The study proposes a characterization method that considers external effects of ground cover like snow, grass, and soil, providing a way to accurately test panel performance indoors.
Scientists successfully used lab-produced tissue samples to remotely control muscle-driven miniature robots with this innovative technology. The device allows researchers a new level of interaction and exploration in the field of biological robots.
Researchers at the University of California, Santa Barbara (UCSB) have made a breakthrough in generating single photons on-chip using a new method. The team, led by Kamyar Parto, has successfully created a steady and fast stream of single photons essential for photonic-based quantum technologies.
A new digital twin of laser-directed energy deposition repair technology has been developed to improve industrial sustainability. The system automatically determines optimum forming conditions, reducing metal powder waste and increasing the effectiveness of the repair process.
A team of researchers used imaging technology to study synapse dynamics in the brains of live mice, revealing that some new synapses formed during fear conditioning are eliminated over time. This finding supports the 'unlearning' hypothesis and could help scientists better understand brain activity in patients with PTSD.
Researchers at North Carolina State University have developed a highly sensitive and stretchable strain sensor that can detect minor changes in strain with great range of motion. The sensor's innovative design features a patterned cut network that enables it to withstand significant deformation without sacrificing sensitivity.
Researchers at POSTECH developed high-performance n-type semiconductor Bi2S3 and p-type Te semiconductor through thermal evaporation, reducing energy consumption and environmental impact. This method can be integrated into standard OLED manufacturing, lowering production costs and contributing to the growth of sustainable electronics.
Researchers at UTA create high-tech solution to exterminate fire ants without using toxic chemicals. The innovative approach uses a combination of sensors and microorganisms to detect and eliminate fire ant colonies.
The research team successfully transplanted a stem cell sheet onto the heart, promoting angiogenesis and improving cardiac function. The technique has improved integration and engraftment rates, addressing challenges in patch-based treatments for myocardial infarction.
Researchers from City University of Hong Kong developed an advanced wireless haptic interface system called WeTac. The system provides a vivid touch experience with personalized tactile sensation data and overcomes the shortcomings of existing bulky gloves.
Researchers have successfully fabricated bifunctional flexible electrochromic supercapacitors using silver nanowire flexible transparent electrodes. The devices can exhibit color changes to display energy status, offering potential for smart windows and wearable electronics. With excellent stability and high areal capacitance, these fl...
Researchers at Binghamton University have developed ingestible biobatteries that utilize microbial fuel cells with spore-forming Bacillus subtilis bacteria to power sensors and Wi-Fi connections. The biobatteries can generate up to 100 microwatts per square centimeter of power density, enough for wireless transmission.
Researchers developed a novel separator using graphene oxide, acetylene black and polypropylene to suppress lithium polysulfide dissolution and improve lithium-ion transportation. The new separator enables efficient Li-S batteries with better performance and stability.
A new optimization model by GIST researchers reduces operating costs and load shedding in microgrids, achieving a 20% decrease in average ENS. The model accounts for variations and uncertainty in renewable energy supply using an ANN-based prediction model, with predicted power output accuracy of 9.7%.
Researchers at Osaka Metropolitan University developed a compact vibration energy harvester that amplifies electric power generated from human walking motion by about 90 times. The device can generate electricity from non-stationary vibrations, including walking motion, to power small wearable devices.
A Cornell-led collaboration used machine learning to predict Alzheimer's progression in cognitively normal and mildly impaired individuals. The modeling showed that MRI scans are most informative for asymptomatic cases, while PET scans are more effective for those with mild cognitive impairment.
A POSTECH research team developed single-cell-driven tri-channel encryption meta-displays, which project different images depending on where you look at them. These displays overcome the limitations of conventional metasurfaces by combining amplitude modulation and geometric phase manipulation.
A team of researchers has developed a framework using blockchain technology to track device communications on the electric grid, detecting anomalies such as data manipulation and spoofing. This approach increases grid resiliency and allows for rapid response to cyberattacks or equipment failures.
A research team developed an optical chip that can train machine learning hardware, improving AI performance and reducing energy consumption. This innovation uses photonic tensor cores and electronic-photonic application-specific integrated circuits to speed up the training step in machine learning systems.
Researchers at UNIST developed a subcutaneously implantable electromagnetic biosensor system for continuous glucose monitoring. The new technology eliminates the need for frequent finger pricking, providing more accurate blood glucose level tracking and improved patient care.
Researchers at Singapore University of Technology and Design (SUTD) have developed a novel phase-change key for new hardware security. The device, known as the physical unclonable function (PUF), is scalable, energy-efficient, and secure against AI attacks compared to traditional silicon PUFs.
Researchers have discovered new waves with picometer-scale spatial variations of electromagnetic fields that can propagate in semiconductors like silicon. This finding enables the emergence of 'picophotonics,' which may lead to the design of new optical devices and applications in quantum technologies.
Researchers have summarized the latest developments in mass transfer techniques for large-scale and high-density microLED arrays. The techniques address key challenges such as interfacial adhesion mechanisms and process parameters to achieve high reliability and efficiency.
Chung-Ang University researchers developed an energy-efficient adaptive directional charging algorithm that adapts to the density of sensor nodes. This approach achieved equal or better charging efficiency than single charging while reducing energy waste. The algorithm employs a mean-shift method and discretized charging strategy decis...
Researchers at Shinshu University demonstrate the transformation of isolated skyrmions into bimerons in a magnetic disk, showcasing a potential new operation for future computing architectures. The discovery opens up novel spintronic applications based on different topological spin textures.
Ritsumeikan University researchers have developed a soft robotic microfinger that enables direct interaction with insects through tactile sensing. The study shows great promise towards realizing human interactions with the microworld and has applications in augmented reality technology.
Researchers at POSTECH developed a stable aqueous zinc-ion battery that uses water as an electrolyte, reducing the risk of fires and explosions. The new battery features a protective polymer layer to prevent electrode corrosion and increase stability.
A team of researchers developed a power sector model to analyze pathways to full independence from Russian natural gas imports. The study found that Europe can eliminate reliance on Russian gas by augmenting REPowerEU plans with temporary boosts in coal and recalibrated gas storage.
Assistant Professor SUZUKI Hiroo and colleagues have developed a method to grow highly crystalline TMDCs, such as MoS2 and WS2, using chemical vapor deposition in a stacked substrate configuration. The technique produces samples with large domains and optimal photoluminescence characteristics.
A team from the University of California San Diego has developed a new system of algorithms that enables four-legged robots to walk and run on challenging terrain while avoiding obstacles. The system combines vision with proprioception, allowing the robot to move efficiently and smoothly in various environments.
Researchers at Pohang University of Science & Technology (POSTECH) developed technology that cuts power consumption in semiconductor devices in half by inserting platinum nanoparticles. The findings increased memory effect of the device by over a million times, allowing for longer operation with relatively low voltage.
Researchers aim to create intelligent drones that can autonomously inspect coal waste storage facilities, detecting cracks and deformities with thermal and visual images. The drones will be equipped with AI-based software to identify potential hazards, providing a faster and long-term solution to prevent environmental damage.
Researchers are developing wearable tonometric sensors that can collect blood pressure data without disrupting patients' sleep. The new cuffless monitoring system uses gecko-inspired adhesion technology to provide accurate readings.
University of Minnesota scientists have developed a method to fine-tune traditional compressed sensing for high-quality images using modern data science tools and machine learning ideas. This approach closes the gap between traditional and deep learning methods, providing a new direction for MRI reconstruction research.
Researchers at Shibaura Institute of Technology developed an optimized recipe to retain superconductivity in bulk MgB2 by enhancing its critical current density. By combining sintering conditions with controlled addition of nanometer-sized amorphous boron and dysprosium oxide, the team achieved a superior critical current density.
The University of Arizona professor is working with biomedical experts to explore the feasibility of using mmWave radar technology on falling detection and fall risk analysis. The NIH award supports a three-year study to investigate how well the technology can estimate fall risks, determine falls, and be accepted by senior citizens.
The new Engineering Research Center for Smart Streetscapes (CS3) will advance the future of smart streetscapes with cutting-edge technologies. The center aims to improve quality of life, enhance social equity, and stimulate economic development through innovative smart city solutions.
Researchers at Gwangju Institute of Science and Technology improve triboelectric nanogenerators by using mesoporous carbon spheres to enhance charge transport and surface charge densities. The device achieves a 1300-fold higher output current, enabling potential sustainable energy harvesting.
Researchers at Pohang University of Science & Technology developed a novel flash memory technology that increases data storage capacity and reliability through artificial defect generation. The new platform can distinguish eight data levels, making it suitable for neuromorphic computing and improving inference accuracy.
Researchers from Rice University, Duke University, Brown University and Baylor College of Medicine developed a magnetic technology to wirelessly control neural circuits in fruit flies. They used genetic engineering to express heat-sensitive ion channels in neurons that control the behavior, and iron nanoparticles to activate the channels.
Researchers at Tokyo University of Agriculture and Technology developed a new method to generate nano-sized plasma mist, which could be used in transdermal drug delivery systems. The method is safer than traditional electrostatic spray and has the potential to treat internal organs.
Researchers at Carnegie Mellon University are developing a new approach to harness the power of nanosatellites, collecting data insights while in orbit and reducing latency issues. This initiative will lay groundwork for innovative applications in fields like carbon mapping, traffic management, and precision agriculture.
A team of researchers has developed a microscopic microphone that can detect sound waves by applying polymer materials to microelectro-mechanical systems. The device offers a wider auditory field than human ears and can be easily attached to the skin with a surprisingly small size, recognizing both loud and low-frequency sounds without...
Researchers at Binghamton University have developed a 'plug-and-play' biobattery that lasts for weeks using three bacteria in separate vertical chambers. The batteries can be stacked to improve output voltage and current, offering a solution for long-term power autonomy in remote locations.
Researchers at Osaka Metropolitan University observed unprecedented collective resonance motion in chiral helimagnets, allowing a significant increase in current frequency bands. This phenomenon enables a boost in frequencies beyond 100 GHz with relatively weak magnetic fields, making these materials promising for 6G technology.
Researchers at NJIT are developing a mixed-reality system that can provide coaches with real-time statistics, facial interpretation data, and remote access to trainers. The system aims to enhance training and decision-making in team sports.
Researchers use machine learning to automatically analyze Reflection High-Energy Electron Diffraction (RHEED) data, enabling faster and more efficient discovery of new materials. The study focused on surface superstructures in thin-film silicon surfaces and identified optimal synthesis conditions using non-negative matrix factorization.
The device can instantly recognize what it sees, like automatic descriptions of pictures taken by a camera or phone, and outperforms the eye in the number of wavelengths it can see. It's uniqueness comes from its ability to integrate three different operations into one, making it many times faster than current technology.
Researchers designed a modular AI chip that can be easily upgraded by swapping out layers, reducing the need for new devices. The chip uses optical communication to transmit information between layers, enabling high versatility in edge computing applications.