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UCF’s ‘bridge doctor’ combines imaging, neural network to efficiently evaluate concrete bridges’ safety

Researchers at UCF used a combination of emerging technologies to evaluate the safety of concrete bridges. By combining infrared thermography, high-definition imaging and neural network analysis, they can quickly identify defects and prioritize repairs.

SourceUniversity of Central Florida·JournalTransportation Research Record Journal of the Transportation Research Board·DateMay 16, 2025

Innovative solution tackle spectrum sharing challenge for co-located pulse radar and communication systems

A dynamic spectrum and power allocation method, developed using a genetic algorithm, enables efficient sharing of frequencies between airborne pulse radar and communication systems. The method achieves up to a 22% improvement in radar detection probability while increasing the communication system's throughput.

SourceTsinghua University Press·JournalChinese Journal of Aeronautics·DateMay 16, 2025

The buried treasure in your old smartphone

Researchers at Texas A&M University are developing a new method to recover rare earth elements from old electronics, such as tablets and phones, using solid-phase extraction technology. This method aims to reduce energy use, cut down on solvents, and streamline the process, making it more environmentally friendly and commercially viable.

New technique to make food deliveries more efficient

Researchers at North Carolina State University have developed a new technique to improve the efficiency of food-delivery operations. The technique accounts for key factors such as food supply, location, and vehicle capacity to determine optimized routes that make food delivery faster and more fuel-efficient.

SourceNorth Carolina State University·JournalComputer-Aided Civil and Infrastructure Engineering·TypeComputational simulation/modeling·DateFeb 20, 2025

Revolutionizing dental surgery with AI

Dental implant surgeries require optimal mechanical stress levels for successful bone healing and long-term implant success. Researchers are developing a hybrid biomechanical model using machine learning to provide precise, patient-specific predictions of mechanical stress.

Powering the future: SeoulTech’s breakthrough in vibration energy harvesting

Researchers at SeoulNational University of Science & Technology propose two new designs for energy-efficient vibration energy harvesters that boost power output and efficiency. The designs use a repulsive magnet pair, yoke, and optimized coil placement to maximize magnetic flux change, leading to higher power generation.

SourceSeoul National University of Science & Technology·JournalJournal of Science Advanced Materials and Devices·TypeComputational simulation/modeling·DateJan 13, 2025

Virginia Tech researchers publish real-time data to understand what happens when people lose their balance

Virginia Tech researchers publish real-time data to better understand what happens when people lose their balance. The study uses wrist-worn voice recorders to capture immediate, self-reported data from participants, providing a more reliable understanding of the circumstances surrounding balance loss among older adults.

SourceVirginia Tech·JournalJournal of the American Geriatrics Society·DateOct 4, 2024

AI can slash indoor farming energy use

Researchers at Cornell University found that integrating AI into environmental control systems can reduce energy consumption in indoor agriculture by up to 25%. By optimizing lighting and climate regulation, AI helps create an energy-efficient solution for optimal plant growth, carbon dioxide levels, and ventilation requirements.

SourceCornell University·JournalNature Food·DateSep 9, 2024

Beetle that pushes dung with the help of 100 billion stars unlocks the key to better navigation systems in drones and satellites

Researchers at the University of South Australia have developed an AI sensor that can accurately measure the orientation of the Milky Way in low light, using a technique inspired by the dung beetle. This system could improve navigation for drones and satellites in difficult lighting conditions.

SourceUniversity of South Australia·JournalBiomimetics·TypeComputational simulation/modeling·DateAug 21, 2024

Chung-Ang University study reveals a way to enhance the efficiency of perovskite solar cells

Researchers at Chung-Ang University have discovered an additive that enhances the efficiency of perovskite solar cells, resulting in a record-breaking 12.22% efficiency. The additive, 4-phenylthiosemicarbazide, improves stability and reduces defects, paving the way for more accessible and long-lasting solar panels.

SourceChung Ang University·JournalAdvanced Energy Materials·TypeExperimental study·DateJul 30, 2024

New collaborative research generates lessons for more adaptive lake management

A new study by Utah State University explores the potential of collaborative modeling to improve reservoir operations and adapt to variable inflow and declining storage. The research involved 26 Colorado River Basin managers and experts who used Google Sheets during video calls to discuss consuming, banking, and trading water.

SourceUtah State University·JournalJournal of Water Resources Planning and Management·TypeObservational study·DateJul 30, 2024

Chung-Ang University researchers study real-time electricity pricing model to enhance power grid balance

A new study proposes a predictive home energy management system with a customizable bidirectional real-time pricing mechanism to promote residential demand response and reduce peak loads. The system enhances user comfort and accuracy of forecasting, while also providing cost savings.

SourceChung Ang University·JournalIEEE Internet of Things Journal·TypeComputational simulation/modeling·DateJul 24, 2024

First-ever hurricane evacuation order database may hold keys to future readiness

A new US-based database of hurricane evacuation orders can help leaders and communities increase resilience, create better policy, and ultimately reduce loss of life. The HEvOD database includes nationwide public-facing evacuation orders from 2014-2022, offering insights into effective strategies for future emergencies.

SourceUniversity of Virginia School of Engineering and Applied Science·JournalNature·TypeData/statistical analysis·DateJul 18, 2024