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2020 – today
- 2023
[j8]Seungmin Lee
, Jisu Kwon, Daejin Park:
Runtime Tracking-Based Replication of On-Chip Embedded Software Using Transfer Function Learning for Dust Particle Sensing Systems. IEEE Access 11: 32167-32175 (2023)- [j7]Jisu Kwon, Daejin Park:
Efficient Partial Weight Update Techniques for Lightweight On-Device Learning on Tiny Flash-Embedded MCUs. IEEE Embed. Syst. Lett. 15(4): 206-209 (2023) - [j6]Seungmin Lee, Jisu Kwon, Daejin Park:
Optimized Replication of ADC-Based Particle Counting Algorithm with Reconfigurable Multi-Variables in Pseudo-Supervised Digital Twining of Reference Dust Sensor Systems. Sensors 23(12): 5557 (2023) - [c9]Jisu Kwon, Daejin Park:
Work-in-Progress: Micro-Accelerator-in-the-Loop Framework for MCU Integrated Accelerator Peripheral Fast Prototyping. EMSOFT 2023: 15-16 - [c8]Jisu Kwon, Heuijee Yun, Daejin Park:
Dynamic MAC Unit Pruning Techniques in Runtime RTL Simulation for Area-Accuracy Efficient Implementation of Neural Network Accelerator. MWSCAS 2023: 207-211 - 2022
- [j5]Jisu Kwon, Daejin Park:
Efficient Sensor Processing Technique Using Kalman Filter-Based Velocity Prediction in Large-Scale Vehicle IoT Application. IEEE Access 10: 116735-116746 (2022) - [j4]Jisu Kwon, Joonho Kong, Arslan Munir:
Sparse convolutional neural network acceleration with lossless input feature map compression for resource-constrained systems. IET Comput. Digit. Tech. 16(1): 29-43 (2022) - [c7]Jisu Kwon, Daejin Park:
Lightweighted AI-based Inference using Deterministic Randomness Compensation for Microcontroller ADC Resolution Enhancement. ISOCC 2022: 368-369 - [c6]Jisu Kwon, Moon Gi Seok, Daejin Park:
Neural Network-based Approximate Quality Prediction for Parameter Exploration in Industrial Manufacturing. ISPACS 2022: 1-4 - 2021
- [j3]Arslan Munir, Jisu Kwon, Jong Hun Lee, Joonho Kong, Erik Blasch, Alexander J. Aved, Khan Muhammad:
FogSurv: A Fog-Assisted Architecture for Urban Surveillance Using Artificial Intelligence and Data Fusion. IEEE Access 9: 111938-111959 (2021) - [j2]Jisu Kwon, Moon Gi Seok, Daejin Park:
Low-Power Fast Partial Firmware Update Technique of On-Chip Flash Memory for Reliable Embedded IoT Microcontroller. IEICE Trans. Electron. 104-C(6): 226-236 (2021) - [c5]Jisu Kwon, Daejin Park:
Toward Data-Adaptable TinyML using Model Partial Replacement for Resource Frugal Edge Device. HPC Asia 2021: 133-135 - [c4]Jisu Kwon, Sejong Oh, Daejin Park:
Metamorphic Edge Processor Simulation Framework Using Flexible Runtime Partial Replacement of Software-Embedded Verilog RTL Models. ISCAS 2021: 1-5 - 2020
- [j1]Jisu Kwon, Moon Gi Seok, Daejin Park:
GPU-Based ECC Decode Unit for Efficient Massive Data Reception Acceleration. J. Inf. Process. Syst. 16(6): 1359-1371 (2020) - [c3]Jisu Kwon, Moon Gi Seok, Daejin Park:
User Insensible Sliding Firmware Update Technique for Flash-Area/Time-Cost Reduction toward Low-Power Embedded Software Replacement. COOL CHIPS 2020: 1-3 - [c2]Jisu Kwon, Daejin Park:
Implementation of Computation-Efficient Sensor Network for Kalman Filter-based Intelligent Position-Aware Application. ICAIIC 2020: 565-568
2010 – 2019
- 2019
- [c1]Jisu Kwon, Jeonghun Cho, Daejin Park:
Function Block-Based Robust Firmware Update Technique for Additional Flash-Area/Energy-Consumption Overhead Reduction. ISPACS 2019: 1-2
Coauthor Index
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