Design and Evaluation of a Sensor-Instrumented Clutch Mechanism for Quasi-Passive Back Exosuits

Engineering, Mechanical Engineering, Information Science, Automation, Life Sciences, Bioengineering,
sensor   clutch   quasi-passive exoskeleton   posture monitoring   force sensing  

Academic Background In modern work environments, especially in industries involving repetitive lifting and bending tasks, low back injuries are a common and costly occupational health issue. Statistics show that low back injuries account for 35% of all occupational musculoskeletal injuries in the United States. Although ergonomic controls (such as ...

Heat Transfer Capability Analysis of Hybrid Brinkman-Type Fluid on Horizontal Solar Collector Plate Through Fractal Fractional Operator

Physics, Fluid Physics, Chemistry, Nanoscience, Engineering, Mechanical Engineering, Energy Engineering,
solar collectors   heat transfer   Brinkman-type fluid   fractal fractional operator   hybrid nanoparticles  

Heat Transfer Capability Analysis of Hybrid Brinkman-Type Fluid on Horizontal Solar Collector Plate Research Background and Problem Statement With the growing global demand for clean energy, solar energy, as a renewable, clean, and low-pollution resource, has gained widespread attention. However, traditional solar collectors (such as flat-plate sol...

Lidar-guided Geometric Pretraining for Vision-centric 3D Object Detection

Lidar-guided Geometric Pretraining for Vision-centric 3D Object Detection

Chemistry, Nanoscience, Engineering, Mechanical Engineering, Ocean Engineering, Transportation Engineering, Electrical Engineering, Information Science, Computer Science, Artificial Intelligence,
3D object detection   geometric pretraining   vision-centric   autonomous driving   cross-modal   knowledge distillation   Lidar  

Lidar-Guided Geometric Pretraining Enhances Performance of Vision-Centric 3D Object Detection Background Introduction In recent years, multi-camera 3D object detection has garnered significant attention in the field of autonomous driving. However, vision-based methods still face challenges in precisely extracting geometric information from RGB imag...

Exoskeleton-Assisted Stance and Kneeling Balance and Work Task Evaluation in Construction

Engineering, Mechanical Engineering, Architecture and Civil Engineering, Information Science, Automation, Artificial Intelligence, Medicine, Orthopedics,
exoskeleton   construction workers   balance control   virtual reality   welding tasks   knee joint   fall risk reduction  

Balance and Task Evaluation of Construction Workers Assisted by Knee Exoskeletons Background Introduction Construction workers face serious safety and health risks in hazardous working environments, especially when working at heights. Prolonged standing and kneeling postures can lead to knee injuries, musculoskeletal disorders, and visual disturban...

Geodesic Distance Field-Based Five-Axis Continuous Sweep Scanning Method for the Multi-Entrance Inwall Surface

Engineering, Mechanical Engineering, Information Science, Automation, Artificial Intelligence,
Five-axis scanning   Multi-entrance inwall surface   Geodesic Distance Field   Path planning   Surface partition   Interference-free   Continuous sweep scanning  

Five-Axis Continuous Sweep Scanning Method Based on Geodesic Distance Field for Multi-Entrance Inwall Surface Inspection Background Introduction In industrial applications, Multi-Entrance Inwall (MEI) surfaces pose significant challenges for precise inspection due to their complex topological structures and potential collision risks. Traditional po...

A Restricted-Learning Network with Observation Credibility Inference for Few-Shot Degradation Modeling

Engineering, Mechanical Engineering, Information Science, Automation, Artificial Intelligence,
few-shot learning   degradation modeling   remaining useful life prediction   restricted-learning network   observation credibility inference   engineering systems   data-driven methods  

A Restricted-Learning Network with Observation Credibility Inference for Few-Shot Degradation Modeling Academic Background In complex engineering systems, multiple sensors are widely used to monitor the degradation processes of equipment and predict their Remaining Useful Life (RUL). However, ensuring predictive performance remains challenging when...

Comprehensive Framework for Passive Thermal Management of Electronic Devices

Physics, Thermodynamics, Engineering, Mechanical Engineering, Materials Science,
passive cooling   electronic devices   thermal management   soft-control cooling   radiative cooling   evaporative cooling   phase-change materials  

Academic Background With the rapid development of artificial intelligence (AI), the role of electronic devices in modern life has become increasingly important. However, these devices generate a significant amount of heat during operation, and if not managed effectively, this can lead to performance degradation, shortened lifespan, and even system ...

Roller-Cam-Driven Compressive Elastocaloric Device with High Cooling Power Density

Physics, Mechanics, Thermodynamics, Engineering, Mechanical Engineering, Materials Science,
elastocaloric cooling   roller-cam driven   cooling power density   Niti alloy tubes   fatigue life   efficient cooling   compressor  

Roller-Cam-Driven Compressive Elastocaloric Device: A Breakthrough in High Cooling Power Density Academic Background With the intensification of global climate change, traditional vapor compression (VC) refrigeration technology has faced increasing criticism due to its use of refrigerants such as hydrofluorocarbons (HFCs), which have a high global ...

Targeted Drug Delivery Using Self-Unrolling Sheets in Magnetically Actuated Capsules

Chemistry, Nanoscience, Chemical Engineering, Engineering, Mechanical Engineering, Medicine, Gastroenterology, Pharmacy, Medical Imaging, Oncology,
targeted drug delivery   magnetically actuated capsule   self-unrolling sheets   gastrointestinal diseases   real-time monitoring  

Targeted Drug Delivery Using Self-Unrolling Sheets in Magnetically Actuated Capsules Background Gastrointestinal (GI) diseases, such as inflammatory bowel disease, GI bleeding, and cancer, are significant global health issues. Traditional treatment methods, such as endoscopy and oral medications, though effective to some extent, have many limitatio...

Reinforcement Learned Multiagent Cooperative Navigation in Hybrid Environment with Relational Graph Learning

Engineering, Mechanical Engineering, Electrical Engineering, Information Science, Computer Science, Automation, Artificial Intelligence,
multiagent system   reinforcement learning   relational graph learning   hybrid environment   cooperative navigation   decentralized execution   collision avoidance  

Multi-agent Cooperative Navigation in Hybrid Environments: A New Reinforcement Learning Approach Based on Relational Graph Learning Mobile robotics is witnessing a surge in applications, fueled by advancements in artificial intelligence, with navigation capabilities being one of the core focus areas of research. Traditional navigation methods often...