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Showing results 1 to 18 of 18

Thesis
A Bandwidth/Power Scalable True-ExG Biopotential Acquisition System
  • Sunyoung Ji
  • 2023
  • Sunyoung Ji. (2023). A Bandwidth/Power Scalable True-ExG Biopotential Acquisition System. doi: 10.22677/THESIS.200000653501
  • DGIST
  • View : 324
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Thesis
A Low-Ripple Charge Pump based on a Parallelized Ring Oscillator with Latches
  • MinKyung Kim
  • 2019
  • MinKyung Kim. (2019). A Low-Ripple Charge Pump based on a Parallelized Ring Oscillator with Latches. doi: 10.22677/thesis.200000216335
  • DGIST
  • View : 604
  • Download : 0
Thesis
A Simple Yet Effective Region-based Quantization on Convolutional Neural Networks
  • Namho Kwon
  • 2022
  • Namho Kwon. (2022). A Simple Yet Effective Region-based Quantization on Convolutional Neural Networks. doi: 10.22677/thesis.200000597054
  • DGIST
  • View : 295
  • Download : 0

An Antiphase-synchronized Dual Ring Oscillator Based Capacitive Voltage Doubler with Power Optimizable Feedback Loop

Thesis
An Antiphase-synchronized Dual Ring Oscillator Based Capacitive Voltage Doubler with Power Optimizable Feedback Loop
  • Yeonjae Shin
  • 2021
  • Yeonjae Shin. (2021). An Antiphase-synchronized Dual Ring Oscillator Based Capacitive Voltage Doubler with Power Optimizable Feedback Loop. doi: 10.22677/thesis.200000361640
  • DGIST
  • View : 283
  • Download : 168
Thesis
An Energy-Efficient Neural Stimulator with Reliable High-Supply-Voltage Operation in a Standard CMOS Process
  • Jinhyeong Jeon
  • 2021
  • Jinhyeong Jeon. (2021). An Energy-Efficient Neural Stimulator with Reliable High-Supply-Voltage Operation in a Standard CMOS Process. doi: 10.22677/thesis.200000497150
  • DGIST
  • View : 176
  • Download : 0

Development of a Quadrotor-type UAV Platform for Autonomous Collision Avoidance under Teleoperation

Thesis
Development of a Quadrotor-type UAV Platform for Autonomous Collision Avoidance under Teleoperation
  • SangYong Park
  • 2020
  • SangYong Park. (2020). Development of a Quadrotor-type UAV Platform for Autonomous Collision Avoidance under Teleoperation. doi: 10.22677/Theses.200000285237
  • DGIST
  • View : 831
  • Download : 412
Thesis
Dynamic Precision Control of a DNN Training Accelerator Using RISC-V Processor
  • Jeik Choi
  • 2023
  • Jeik Choi. (2023). Dynamic Precision Control of a DNN Training Accelerator Using RISC-V Processor. doi: 10.22677/THESIS.200000655606
  • DGIST
  • View : 461
  • Download : 0
Thesis
Energy-Efficient Accelerator Design for Lightweight Deep Learning Workloads
  • Seock-Hwan Noh
  • 2025
  • DGIST
  • View : 62
  • Download : 0
Thesis
Evolutionary Search Algorithm for the Optimized Dataflow Engine in Deep Learning
  • Jooyeon Lee
  • 2021
  • Jooyeon Lee. (2021). Evolutionary Search Algorithm for the Optimized Dataflow Engine in Deep Learning. doi: 10.22677/thesis.200000366431
  • DGIST
  • View : 288
  • Download : 0
Thesis
Hardware Acceleration with Microscaling Formats for Deep Learning Inference and Training
  • Jahyun Koo
  • 2026
  • DGIST
  • View : 137
  • Download : 0
Thesis
Hardware-Software Co-design Methodology for Highly-Efficient Operation of Spiking Neural Networks
  • Sangwoo Hwang
  • 2025
  • Sangwoo Hwang. (2025). Hardware-Software Co-design Methodology for Highly-Efficient Operation of Spiking Neural Networks. doi: 10.22677/THESIS.200000841867
  • DGIST
  • View : 291
  • Download : 0
Thesis
HW/SW design to prevent the bit-flip by Row Hammering in DRAM
  • Seunghak Lee
  • 2024
  • Seunghak Lee. (2024). HW/SW design to prevent the bit-flip by Row Hammering in DRAM. doi: 10.22677/THESIS.200000723486
  • DGIST
  • View : 149
  • Download : 0
Thesis
Improving the Accuracy of Precision Switchable Neural Networks with Feature-based Knowledge Distillation
  • Seungpyo Lee
  • 2024
  • Seungpyo Lee. (2024). Improving the Accuracy of Precision Switchable Neural Networks with Feature-based Knowledge Distillation. doi: 10.22677/THESIS.200000729552
  • DGIST
  • View : 175
  • Download : 0
Thesis
On the Improvement of Hardware Utilization of Sparse GEMM Accelerators
  • Banseok Shin
  • 2023
  • Banseok Shin. (2023). On the Improvement of Hardware Utilization of Sparse GEMM Accelerators. doi: 10.22677/THESIS.200000657310
  • DGIST
  • View : 355
  • Download : 0
Thesis
Performance analysis and Optimization of Flash Translation Layers for Ultra-scale SSDs
  • Yumin Won
  • 2020
  • Yumin Won. (2020). Performance analysis and Optimization of Flash Translation Layers for Ultra-scale SSDs. doi: 10.22677/Theses.200000285206
  • DGIST
  • View : 606
  • Download : 0
Thesis
Retinal OCT Image Segmentation Using Semi-supervised Learning with Generative Adversarial Networks
  • Gyeongmin Lee
  • 2020
  • Gyeongmin Lee. (2020). Retinal OCT Image Segmentation Using Semi-supervised Learning with Generative Adversarial Networks. doi: 10.22677/Theses.200000285620
  • DGIST
  • View : 732
  • Download : 0
Thesis
SEMS: Scalable Embedding Memory System Exploiting Near-data Processing
  • Sejin Kim
  • 2022
  • Sejin Kim. (2022). SEMS: Scalable Embedding Memory System Exploiting Near-data Processing. doi: 10.22677/thesis.200000594560
  • DGIST
  • View : 271
  • Download : 0
Thesis
True-ExG Biopotential Acquisition Systems
  • Sehwan Lee
  • 2022
  • Sehwan Lee. (2022). True-ExG Biopotential Acquisition Systems. doi: 10.22677/thesis.200000595443
  • DGIST
  • View : 574
  • Download : 0
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