A5103010654- Dental Implant Techniques and Outcomes
- Periodontal Regeneration and Treatments
- ZnO doping and properties
- Ion-surface interactions and analysis
- Neural dynamics and brain function
- Context-Aware Activity Recognition Systems
- Dental Radiography and Imaging
- Ga2O3 and related materials
- Medical Imaging Techniques and Applications
- Non-Invasive Vital Sign Monitoring
- Internet of Things and Social Network Interactions
- Neuroscience and Neural Engineering
- Advanced Neural Network Applications
- EEG and Brain-Computer Interfaces
- Orthopedic Surgery and Rehabilitation
- CCD and CMOS Imaging Sensors
Seoul National University
2006-2023
Summary This study was designed to radiographically evaluate the effect of surface macro‐and microstructures within coronal portion external hex implant at marginal bone change after loading. The fifty‐four patients included in were randomly assigned treatment groups with rough‐surface implants (TiUnite, n = 45), a hybrid smooth and rough (Restore, 45) or microthreads (Hexplant, 45). Clinical radiographic examinations conducted time loading (baseline) 1‐year post‐loading. A three‐level...
The rate of increase in the number aging population Korea is very rapid among OECD-member countries. And fall accident one most common factors that threaten health elderly. Therefore, it needed to develop a detection system for Most systems use accelerometers attached on torso. various studies, was verified these have high sensitivity and specificity. However, elderly would feel uncomfortable when banding sensor chest every day. this study, we an accelerometer shoes detect This prototype be...
summary The purpose of this study was to evaluate the geometry and surface characteristics osseointegration after functional loading by radiographic, periodontal histomorphometric analyses. We analysed three groups implants with different using experimental dogs. control group received Brånemark (group 1). Group 2 3 each had a 0·5‐mm pitch height but differed in characteristics. were machine surfaced thermally oxidized at 800 °C for h pure oxygen atmosphere. For these experiments, which used...
Deep learning models have become increasingly prevalent in various domains, necessitating their deployment on resource-constrained devices. Quantization is a promising way to reduce the model complexity that it keeps architecture intact and enables operate specialized hardwares(e.g., NPU, DSP). Input resolution also essential making trade-off between accuracy computation.