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전체 가 나 다 라 마 바 사 아 자 차 카 타 파 하

Showing results 1 to 6 of 6

Thesis
A biomimetic inspired design of a modular artificial muscle based on catalytic combustion actuation of shape memory alloy
  • Nagwade Pritish
  • 2023
  • Nagwade Pritish. (2023). A biomimetic inspired design of a modular artificial muscle based on catalytic combustion actuation of shape memory alloy. doi: 10.22677/THESIS.200000685689
  • DGIST
  • View : 162
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Thesis
Development of Biocompatible Diphenylalanine Peptide Nanotube based Piezoelectric Nanogenerator for Self-Powered Implantable Medical Electronics
  • Park, Hyo Jin
  • 2021
  • Park, Hyo Jin. (2021). Development of Biocompatible Diphenylalanine Peptide Nanotube based Piezoelectric Nanogenerator for Self-Powered Implantable Medical Electronics. doi: 10.22677/thesis.200000497172
  • DGIST
  • View : 174
  • Download : 0

Flexible and Stretchable Strain Sensor for Monitoring of Bladder Volume

Thesis
Flexible and Stretchable Strain Sensor for Monitoring of Bladder Volume
  • Yujin Jo
  • 2021
  • Yujin Jo. (2021). Flexible and Stretchable Strain Sensor for Monitoring of Bladder Volume. doi: 10.22677/thesis.200000364412
  • DGIST
  • View : 194
  • Download : 189
Thesis
Multi-Channel Wearable Textile Electrode Array With Deep Learning for EMG-Based Human-Machine Interfaces
  • Seonggyu Lee
  • 2023
  • Seonggyu Lee. (2023). Multi-Channel Wearable Textile Electrode Array With Deep Learning for EMG-Based Human-Machine Interfaces. doi: 10.22677/THESIS.200000658736
  • DGIST
  • View : 216
  • Download : 0
Thesis
Multifunctional materials for hybrid energy harvesters and self-powered sensors
  • Hajra Sugato
  • 2024
  • Hajra Sugato. (2024). Multifunctional materials for hybrid energy harvesters and self-powered sensors. doi: 10.22677/THESIS.200000724623
  • DGIST
  • View : 134
  • Download : 0
Thesis
Near Data Processing for Clustering Enhanced by Automatic Memory Disaggregation
  • Sanghoon Lee
  • 2023
  • Sanghoon Lee. (2023). Near Data Processing for Clustering Enhanced by Automatic Memory Disaggregation. doi: 10.22677/THESIS.200000656260
  • DGIST
  • View : 286
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