Research Spotlight
Research Spotlight
홈 NEWS & RESEARCH Research Spotlight

Develops an AI Framework for Long-Term Bridge Damage Monitoring

2026-07-30
Develops an AI Framework for Long-Term Bridge Damage Monitoring 썸내일 이미지
Researchers create an automated computer vision system that tracks and measures bridge damage over time using routine drone inspections Bridges naturally develop cracks, spalling, and water leakage as they age, making regular inspections essential. However, these inspections are often labor-intensive and costly. To address this, researchers in South Korea have developed an AI-powered computer vision framework. The system combines routine dro...

Perilla Oil Improves Blood Circulation and Coagulation in Healthy Smokers

2026-07-27
Perilla Oil Improves Blood Circulation and Coagulation in Healthy Smokers 썸내일 이미지
Researchers investigate the effects of perilla oil supplementation on blood flow and inflammatory biomarkers  α-linolenic acid (ALA), an essential omega-3 acid, is known to have anti-inflammatory and antioxidant properties and could help support cardiovascular health. Although perilla oil, which is widely consumed in South Korea, is composed of up to 70% ALA, its positive cardiovascular effects are underexplored. In a new study, r...

Researchers Develop New Strategy for Designing Ultra-Fast Charging Batteries

2026-07-24
Researchers Develop New Strategy for Designing Ultra-Fast Charging Batteries 썸내일 이미지
Researchers have developed off-stochiometric anode materials capable of safe, ultra-fast charging  Image title: Proposed off-stochiometric design strategy for LTP anodesImage caption: LTP anodes designed using the proposed off-stochiometric strategy exhibit high-rate capability and durability over hundreds of charging cycles. Moreover, they also demonstrate universal compatibility with high-voltage cathodes.Image credit: Associate Profe...

Researchers Develop Energy-Saving TPMS Feet for Quadruped Robots

2026-07-23
Researchers Develop Energy-Saving TPMS Feet for Quadruped Robots 썸내일 이미지
Compressible 3D-printed TPMS feet , when paired with a deep reinforcement learning controller, cut power consumption by up to 6.2%   Quadruped robots consume more energy than wheeled robots, limiting how long they can operate. Researchers developed compressible 3D-printed porous foot pads that act like springs, storing and releasing mechanical energy during walking. Combined with a deep reinforcement learning controller that learns ener...

Revealing Transparent Windows That Shield Buildings from Powerful Electromagnetic Pulses

2026-01-28
Revealing Transparent Windows That Shield Buildings from Powerful Electromagnetic Pulses 썸내일 이미지
  Scientists introduce a new window technology to protect civilian and military infrastructure from EMP threats.
Electromagnetic pulses (EMPs) generated from nuclear explosions, high-power electromagnetic pulse devices, and intentional electromagnetic interference can significantly impact civilian and military infrastructure. Recently, researchers from the Republic of Korea and the USA have developed a transparent glass window base...

Developing Sodium-Based Next-Generation Smart Electrochromic Windows

2026-01-15
Developing Sodium-Based Next-Generation Smart Electrochromic Windows 썸내일 이미지
  Researchers unlock sodium-based electrochromic capacity in nanorods by introducing thermally removable dopants, offering a practical solution for thermal regulation
 Hexagonal tungsten oxide nanorods are highly promising for sodium-based near-infrared electrochromic windows. However, conventional dopants limit the performance of these devices. In a new study, researchers have leveraged thermally removable dopants to unlock t...

Revealing Strong Public Support for Hydrogen Fuel Cell Trucks

2026-01-13
Revealing Strong Public Support for Hydrogen Fuel Cell Trucks 썸내일 이미지
  Researchers assess public willingness to pay for expanding hydrogen fuel cell heavy-duty trucks to reduce transport emissions   Hydrogen fuel cell heavy-duty trucks offer a cleaner alternative to diesel transport, but public support is essential for large-scale adoption. In a new study, researchers surveyed households in South Korea to measure willingness to pay for expanding hydrogen truck deployment. The results show stron...

Developing VFF-Net, A Revolutionary Alternative to Backpropagation That Transforms AI Training

2025-10-16
Developing VFF-Net, A Revolutionary Alternative to Backpropagation That Transforms AI Training 썸내일 이미지
  The proposed algorithm applies the concept of forward-forward network to CNNs, avoiding away traditional back-propagation and its limitations
Conventionally, deep neural networks (DNNs), including convolutional neural networks (CNNs), are trained using backpropagation—a standard algorithm in AI learning. However, backpropagation suffers from several limitations, such as high computational cost and overfitting. Researchers h...

Discovering Breakthrough Materials for Removing Pharmaceuticals from Wastewater

2025-10-16
Discovering Breakthrough Materials for Removing Pharmaceuticals from Wastewater 썸내일 이미지
   Researchers study the adsorption characteristics of fluorinated covalent organic polymers against environmentally persistent pharmaceuticals
Beta-blockers, like atenolol (ATL) and metoprolol (MTL), are widely prescribed to treat cardiovascular conditions. However, they tend to persist in the environment, ending up in water sources, affecting aquatic life. In a new study, researchers investigated fluorinated covalent organic...

Developing AI-Based Patent Abstract Generator to Discover and Detail Technology Opportunities

2025-10-16
Developing AI-Based Patent Abstract Generator to Discover and Detail Technology Opportunities 썸내일 이미지
  The revolutionary machine-learning system translates patent vacancy into plain English texts, accelerating innovation discovery and R&D strategies
Identifying and interpreting vacancies in patent maps is a promising approach to discover technological opportunities. However, it remains a challenging task. Recently, scientists from Seoul National University of Science and Technology have developed an innovative machine learning...
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