ETRI Knowledge Sharing Platform : Seungtae Hong

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Seungtae Hong

Department: Intelligent Devices & Simulation Research Section

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KSP Keywords: Edge Devices Deep Learning Framework Comparative Analysis Device Framework Limited Resources Optimization Framework Parallel Processing Technique Embedded System Real-Time Conventional Methods Computation Acceleration Performance Evaluation Performance Analysis Image Classification Object Recognizer Resource-Constrained Model Optimization Processing Performance Based On The Field Field Image Structural Characteristics Learning Model STM32 MCU Unified Memory Dual-Core Object Recognition

Articles (10)
Patents (9)
Technology Transfer (4)
R&D Reports (0)
Standards (1)
Monographs/Talk (0)

논문 검색결과
Type	Year	Title	Cited
Journal	2024	Dual-Core-Based Microcontrollers Inference Design and Performance Analysis Dongchan Lee IEEE Access, v.12, pp.120326-120336	0
Journal	2024	Automated deep-learning model optimization framework for microcontrollers Seungtae Hong ETRI Journal, v.권호미정, pp.1-14	0
Conference	2023	Implementation and Optimization Methods for a CNN Inference System on an STM32 MCU-Based Board 박건주 대한임베디드공학회 학술 대회 (추계) 2023, pp.286-288
Conference	2023	Comparison study of inference libraries for deep learning inference in Microcontroller unit 박형태 한국군사과학기술학회 종합 학술 대회 (추계) 2023, pp.855-856
Conference	2023	Deep Learning on MCUs: Comparative Analysis of Compile and Interpreter based Execution Methods Gunju Park International Conference on Information and Communication Technology Convergence (ICTC) 2023, pp.1338-1340	0
Conference	2023	Image Classification on Resource-Constrained Microcontrollers Seungtae Hong International Conference on Information and Communication Technology Convergence (ICTC) 2023, pp.1453-1455	0
Conference	2023	Resource-constrained microcontroller-based Image classifier design and implementation 박형태 대한전자공학회 학술 대회 (하계) 2023, pp.1186-1190
Conference	2022	Lightweight Object Recognizer for Edge Devices Seungtae Hong International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.1729-1731	0
Journal	2021	CitiusSynapse: A Deep Learning Framework for Embedded Systems Seungtae Hong Applied Sciences, v.11, no.23, pp.1-22	1
Conference	2019	Dynamic ROI-based Object Recognizer in Embedded Systems 홍승태 대한임베디드공학회 학술 대회 (추계) 2019, pp.141-144

특허 검색결과
Status	Year	Patent Name	Country
Registered	2022	Apparatus and Method for Convolutional Neural Network Quantization Inference	KOREA
Registered	2021	METHOD FOR PERFORMING DILATED CONVOLUTIONAL OPERATION USING ATYPICAL KERNEL PATTERN AND DILATED CONVOLUTION NERUAL NETWORK SYSTEM USING THE SAME	KOREA
Registered	2020	Apparatus for Recognizing Object based on Deep Learning In Embedded Device and Object Recognition Model Training Apparatus for Embedded Device	KOREA
Registered	2020	Apparatus and Method for Convolutional Neural Network Quantization Inference	KOREA
Registered	2020	APPARATUS AND METHOD FOR OPTIMIZING QUANTIZED MACHINE LEARNING ALGORITHM	KOREA
Registered	2020	CONVOLUTIONAL LAYER ACCELERATOR, EMBEDDED SYSTEM HAVING THE SAME, AND OPERATING METHOD THEREOF	KOREA
Registered	2019	An apparatus and method for accelerating the forward propagation of convolutional layers using multiple OpenCL devices in an embedded system	UNITED STATES
Registered	2018	GPU-BASED ADAPTIVE BLAS OPERATION ACCELERATION APPARATUS AND METHOD THEREOF	UNITED STATES
Registered	2018	GPU-BASED ADAPTIVE BLAS OPERATION ACCELERATION APPARATUS AND METHOD THEREOF	KOREA

기술이전 검색결과
Year	Technology	Transaction Count	Manager
2022	On-Device Artificial Intelligence SW Technology for Visual Recognition on Drone-Mounterd Embedded Mission Computer	1	Kim Jeong-Si
2022	On-Device Artificial Intelligence SW Technology for Visual Recognition on Edge Devices wirh Low Spec HW	1	Kim Jeong-Si
2021	On-Device Artificial Intelligence SW Technology for Visual Recognition on Smart Devices	1	Kim Jeong-Si
2020	On-Device Deep Learning SW Platform Technology for Visual Recognition on Smart Devices	2	Kim Jeong-Si

연구보고서 검색결과
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표준안 검색결과
Year	Standard Body	Standards	Source link
2020	ITU	Output text of draft Recommendation ITU-T Y.IoT-LISF Lightweight intelligent software framework for IoT devices for Consent

단행본 검색결과
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발표자료 검색결과
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