김현수 사진

김현수 | 공과대학 건축학부 (제1공학관)

  • 직급:
    조교수

학력

  • [2008] 학사 서울대학교 / 공학대학 건축학과
  • [2010] 석사 서울대학교 / 공학대학 건축학과
  • [2015] 박사 서울대학교 / 공학대학 건축학과

주요경력

  • 경남과학기술대학교 (2017-09-01)
  • 서울대학교 (2017-05-01)
  • University of Nebraska-Lincoln (2015-04-01)

연구업적

  • 일반논문[20231001] Pedestrian visual satisfaction and dissatisfaction toward physical components of the walking environment based on types, characteristics, and combinations
  • 일반논문[20230903] Productivity Measurement through IMU-Based Detailed Activity Recognition Using Machine Learning: A Case Study of Masonry Work
  • 일반논문[20230401] Monitoring safety behaviors of scaffolding workers using Gramian angular field convolution neural network based on IMU sensing data
  • 일반논문[20230401] Determination of workers? compliance to safety regulations using a spatio-temporal graph convolution network
  • 일반논문[20230301] Automated detection of construction work at heights and deployment of safety hooks using IMU with a barometer
  • 일반논문[20221001] Measuring effects of safety-reminding interventions against risk habituation
  • 일반논문[20220901] 노후 장기공공임대주택 손실보전을 위한 재건축사업의 최소용적률 수리모델
  • 일반논문[20220604] Analysis of safety risk factors of modular construction to identify accident trends
  • 일반논문[20220426] Feasibility of DRNN for Identifying Built Environment Barriers to Walkability Using Wearable Sensor Data from Pedestrians’ Gait
  • 일반논문[20220122] Investigation of the relationship between Ironworker?s gait stability and different types of load carrying using wearable sensors
  • 일반논문[20220108] Two-Step k-means Clustering Based Information Entropy for Detecting Environmental Barriers Using Wearable Sensor
  • 일반논문[20220101] Delegation or Collaboration: Understanding Different Construction Stakeholders’ Perceptions of Robotization
  • 일반논문[20211201] QFD 기반의 해체공사 공법선정과 FMEA 위험성평가 통합 모델
  • 일반논문[20211108] The Feasibility of Information-Entropy-Based Behavioral Analysis for Detecting Environmental Barriers
  • 일반논문[20201214] Investigating the Relation between Walkability and the Changes in Pedestrian Policy through Wearable Sensing
  • 일반논문[20200801] Deep learning-based classification of work-related physical load levels in construction
  • 일반논문[20200601] Automated Methods for Activity Recognition of Construction Workers and Equipment: State-of-the-Art Review
  • 일반논문[20200514] Wearable Sensor Data-Driven Walkability Assessment for Elderly People
  • 일반논문[20200110] Integrated Design Process for Modular Construction Projects to Reduce Rework
  • 저서/역서[20200518] 해체공사의 전문성 강화를 위한 관리체계 개선 방안 고찰
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