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@hskim0584
hskim0584
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Kim Hyeonsu hskim0584

(2019~2025)KyungHee Univ <ElectronicEngineering> (2025~2025) SSAFY <Embedded Track class> (2026~) Samsung Electronic
  • KHU

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hskim0584 /README.md

πŸ“ paper & πŸ†award & πŸ’‘patent
πŸ“ 4 πŸ† 8 πŸ’‘ 2


β—πŸ“ AI-Driven Automatic Side Mirror Adjustment to Address Left-Side Blind Spots in Right Turns
2025 16th International Conference on Information and Communication Technology Convergence (ICTC), 2025, pp. 528-533

β†ͺοΈπŸ† ν•™μˆ λŒ€νšŒ ν•™λΆ€ μš°μˆ˜λ…Όλ¬Έ "μž₯렀상"
ν•©μ„±κ³± 신경망 기반 λΉ„ν‰λ©΄μ—μ„œμ˜ λΉ” ν”„λ‘œμ ν„° μ™œκ³‘ 보정 기술

β†ͺοΈπŸ† 제2회 μ°½μ˜ν˜μ‹  ν”„λ‘œμ νŠΈ 곡λͺ¨μ „ "μš°μˆ˜μƒ"
κ³΅κ°„μ˜ μ œμ•½μ΄ μ—†λŠ” λΉ” ν”„λ‘œμ ν„°

β†ͺοΈπŸ’‘ ο»Ών•©μ„±κ³± 신경망 기반 λΉ„ν‰λ©΄μ—μ„œμ˜ λΉ” ν”„λ‘œμ ν„° μ™œκ³‘ 보정 기술
NO. 1020240069247(2024εΉ΄05月28ζ—₯), μΆœμ›μΈ : κ²½ν¬λŒ€ν•™κ΅ μ‚°ν•™ν˜‘λ ₯단

β—πŸ“ Multi-Exit Faster R-CNN(MEF): An Adaptive Multi-Exit Neural Network for Time-Varying Computing Resources
J-KICS 50.2 (2025): 234-244. (KCI, SCOPUS)

β†ͺοΈπŸ† 2024년도 λ°˜λ„μ²΄ μ „κ³΅νŠΈλž™μ‚¬μ—… μ„±κ³Όλ°œν‘œνšŒ "κΈˆμƒ"
Multi Exit Faster R-CNN under resource constraints

β—πŸ† μžλ™μ°¨λΆ€ν’ˆμ‚°μ—…μ§„ν₯μž¬λ‹¨ λ―Έλž˜μžλ™μ°¨μ‚°μ—… 아이디어 곡λͺ¨μ „ "μž₯렀상"
BranchyNet & CNN 인곡지λŠ₯ 신경망 기반의 "μš°νšŒμ „ 연동 μžλ™ 쒌ν–₯ μ‚¬μ΄λ“œ 미러" μ œμ–΄ μ‹œμŠ€ν…œ

β†ͺοΈπŸ’‘ μš°νšŒμ „ 연동 μžλ™ 쒌ν–₯ μ‚¬μ΄λ“œ 미러

NO. 10-2025-0096262 (2025εΉ΄07月16ζ—₯), μΆœμ›μΈ : κ²½ν¬λŒ€ν•™κ΅ μ‚°ν•™ν˜‘λ ₯단


β—πŸ“ Caching, transcoding, delivery and learning for advanced video streaming services.
ICT Express 10.4 (2024): 774-785. (KCI, SCOPUS)

β—πŸ“ λ”œλ ˆμ΄-민감 λΉ„λ””μ˜€ 슀트리밍 μ„œλΉ„μŠ€λ₯Ό μœ„ν•œ DQN μ•Œκ³ λ¦¬μ¦˜ 연ꡬ
ν•œκ΅­ν†΅μ‹ ν•™νšŒ ν•™μˆ λŒ€νšŒλ…Όλ¬Έμ§‘ (2023): 1090-1091.

β†ͺοΈπŸ† ν•™μˆ λŒ€νšŒ ν•™λΆ€ μš°μˆ˜λ…Όλ¬Έ "μ΅œμš°μˆ˜μƒ"
λ”œλ ˆμ΄-민감 λΉ„λ””μ˜€ 슀트리밍 μ„œλΉ„μŠ€λ₯Ό μœ„ν•œ DQN μ•Œκ³ λ¦¬μ¦˜ 연ꡬ

β—πŸ“ ν•©μ„±κ³± 신경망 기반 λΉ„ν‰λ©΄μ—μ„œμ˜ λΉ” ν”„λ‘œμ ν„° μ™œκ³‘ 보정 기술
ν•œκ΅­ν†΅μ‹ ν•™νšŒ ν•™μˆ λŒ€νšŒλ…Όλ¬Έμ§‘ (2023): 983-984.

β—πŸ† 제19회 μ „κ΅­λŒ€ν•™μƒ μ¦κΆŒνŒŒμƒμƒν’ˆ κ²½μ‹œλŒ€νšŒ "μž…μƒ"
CNNκ³Ό POMDP 기반 κ°•ν™” ν•™μŠ΅μ„ ν†΅ν•œ 기술적 λΆ„μ„μ˜ κ°€μΉ˜ 및 κ°€λŠ₯μ„± 연ꡬ

β—πŸ† 제1회 μ°½μ˜ν˜μ‹  ν”„λ‘œμ νŠΈ 곡λͺ¨μ „ "λŒ€μƒ"
CNN을 ν™œμš©ν•œ 였λͺ© λ‘œλ΄‡ μ œμž‘

β—πŸ† 16회 μ½”λ“œκ²Œμ΄νŠΈ κΈ€λ‘œλ²Œ AIμ•„μ΄λ””μ–΄λž© 곡λͺ¨μ „ "μž…μƒ"
μ˜μƒν†΅ν™” ν”Œλž«νΌ λ‚΄μ˜ λ”₯페이크 감지 λͺ¨λΈ

πŸ› οΈ Tech Stacks


πŸ§‘β€πŸ’» Contact



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