박사

대단지 토공현장의 생산성 향상을 위한 건설장비 플릿 관리 시스템 개발 = A Study on the Development of Construction Equipment Fleet Management system for the Improvement in Productivity of Large Earthwork Sites

임소영 2020년
논문상세정보
' 대단지 토공현장의 생산성 향상을 위한 건설장비 플릿 관리 시스템 개발 = A Study on the Development of Construction Equipment Fleet Management system for the Improvement in Productivity of Large Earthwork Sites' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • 건설장비
  • 관제 시스템
  • 생산성향상
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
79 0

0.0%

' 대단지 토공현장의 생산성 향상을 위한 건설장비 플릿 관리 시스템 개발 = A Study on the Development of Construction Equipment Fleet Management system for the Improvement in Productivity of Large Earthwork Sites' 의 참고문헌

  • 환경친화형 인공지능 건설 기계 기술 특허동향 보고서
    특허청 [2009]
  • 탄소저감형 건설재료 기술개발 기획 보고서, Green-up 30, 별권1,2
    이세현 국토해양부, 한국건설기술연구원, [2011]
  • 탄소저감형 건설장비 운영기반 스마트 시공시스템기획, 최종보고서
    서종원 한양대학교, 부산대학교, 국토해양부 [2012]
  • 지능형 굴삭시스템 개발 연구보고서(최종 보고서)
    장준현 한국건설기술연구원, 한양대학교, 두산인프라코어, 국토해양부 [2011]
  • 지능형 굴삭시스템 개발 보고서
    장준현 한국건설기술연구원, 한양대학교, 두산인프라코어, 국토교통부 [2008]
  • 지능형 굴삭기 Komatsu社
    Technical Paper VOL. 60 NO.167 Trimble Dimensions 2014 Cat Connect Technologies for Earthmoving Contractors [2014]
  • 지능형 건설기계 기술 동향과 산업 전망
    남성호 서명국 조기용 한국산업기술평가관리원 KEIT PD 이슈리포트 2016-4호-이슈2 [2016]
  • 연도별 기계산업 생산규모 및 증감률 추이
    철강금속신문, http://www.snmnews.com/news/ [2017]
  • 스마트 건설기술 로드맵
    국토교통부 [2018]
  • 두산인프라코어
    http://www.doosaninfracore.com/kr/intro/rnd/center_tech/
  • 녹색성장 국가전략 및 5개년계획
    녹색성장위원회, www.greengrowth.go.kr [2009]
  • 녹색경영체제 (GMS: Green Management System)
    DNV 인증원, www.dnv.co.kr [2010]
  • 국토해양 R&D 발전전략
    조대연 국토해양부, 한국건설교통기술평가원, [2010]
  • 공공건설분야 BIM 로드맵 및 활성화 전략 연구보고서(정책)
    류형근 국토해양부, 한국건설기술연구원, [2018]
  • “안전관리 규제와 협력체계 구축방안” 건설산업 규제 의 상호협력적 개선을 위한 정책토론회
    최수영 한국건설산업연구원 [2019]
  • “미국 공병단의 BIM 적용 로드맵”
    김성식 한국건설기술연구원 건설기술동향 http://www.cercer.army.mil/td/tips/pub/details.cfm [2010]
  • VR Navi
    아이나비, http://www.inavi.com/Products/Navi/
  • The study on the optimized earthwork transfer path algorithm considering the precluded area of massive cutting and banking
    Vol . 13 ( 4 ) , pp . 1-8 [2011]
  • The diversity among IVHS navigation systems worldwide .
    [1993]
  • The Sequence Alignment/Map format and SAMtools
    Vol . 25 ( 16 ) . pp . 2078-2079 [2009]
  • Task Planning and Operation of an Intelligent Excavator
    [2014]
  • Study on Multi-path Planning and Tracking Control of the UCAV Based on Evolutionary Algorithm
    [2015]
  • Spline surface approximation forComputing pit excavation volume with the free boundaryConditions
    Vol.2 ( 2 ) , pp.1-5 ( in Korean ) [2002]
  • Smooth surface approximation forComputing pit excavation volume
    Vol . 124 ( 3 ) , pp . 125-133 . [1998]
  • Smooth boundary approximation for directlyComputing irregular area
    Vol . 119 ( 3 ) , pp . 86-101 . [1993]
  • Recent Developments and Prospect of Automation and Robotics Technology inConstruction.
    Vol . 8 No . 2 , pp . 57-63 [2011]
  • Productivity Analysis on Real-time Path Monitoring of Dumps
    Vol . 36 ( 3 ) , pp . 565-571 . ( in Korean ) [2016]
  • Precision inCross-sectional areaCalculations on earthwork determination '' , J. Surveying Engrg.
    Vol . 113 ( 3 ) , pp . 139-151 . [1987]
  • Performance Evaluaion of some Clustering Algorithms and Validity Indices
    Vol . 24 ( 2 ) , pp . 1650-1654 . [2002]
  • Performance Comparison of Some K-medoids Clustering Algorithms
    pp . 421-426 ( in Korean ) [2006]
  • Optimal Route Planning in Real Time Multi-UGA Systems by Multi-objective Evolutionary Algorithms ”
    Vol . 14 ( 3 ) , pp . 2829-2832 [2015]
  • On Estimating Pit-Excavation Volume using Spline Surfaces without Boundary Conditions
    Vol . 28 , No . 1 , pp . 5-12 . ( in Korean ) [2010]
  • OPTICS : Ordering Points To Identify the CLustering Structure ” , ACM-SIGMOD Int . Conf . Management of Data
    Vol.28 ( 2 ) , pp . 49-60 . [1999]
  • New Dynamic Methods for Posture Testing Based on the Subject 's Forward Leaning and Phase Plane Application
    Vol . 20 ( 2 ) pp . 85-102 . [2000]
  • Neutral Reference Model for the Sharing and Propagation of Engineering Change Information in a Collaborative Engineering Development.
    Vol . 13 No . 4 , PP 243-254 ( in Korean ) [2008]
  • Multiobjective Optimization of Earthmoving Operations
    Vol . 130 Issue 1 [2004]
  • LH건설정보시스템
    LH공사, http://cotis.lh.or.kr/
  • KICT:2017-001 Infra BIM 정보모델 표준 및 검증기술개발
    주기범 한국건설기술연구원, 2016년도 주요사업 최종보고서 [2017]
  • K-means Clustering for Handling High-dimensional Large Data
    Vol . 18 , No . 1 pp . 55-59 ( in Korean ) [2012]
  • Irregular boundary area computation by Simpson 's 3/8 rule
    Vol.113 ( 3 ) , pp . 127-132 . [1987]
  • Introduction to Greenhouse Gas Emissions in Road Construction and Rehabilitation
    [2010]
  • Introduction of Komatsu genuine hydraulic oil KOMHYDRO HE.
    VOL . 56 ( 163 ) [2010]
  • Intellgent Navigntion Strategis for Automated Earthwork System
    Vol . 21 ( 1 ) pp . 132-147 ( in Korean ) [2012]
  • Information Modeling for Construction Equipment Interface in Earthwork
    Vol . 35 ( 3 ) , pp . 699-706 ( in Korean [2015]
  • Improving earthmoving estimating by more realistic knowledge
    Vol . 23 ( 1 ) , pp . 250-259 [1996]
  • ICT를 활용한 건설장비 관제 및 스마트 시공 기술 개발, 최종보고서
    서종원 한양대학교, 부산대학교, 국토교통부 [2018]
  • High Integrity Map Matching Algorithms for Advanced Transport Telematics Applications
    [2006]
  • HDS 프로그램
    제일엔지니어링, http://www.cheileng.com/hds/
  • GeoManager ( Fleet Solutions
    http : //www.trimble.com/
  • Fundamentals of Surveying
    pp . 377-385 . [1985]
  • Fleet management in Europe 6th report
    [2010]
  • Finding Groups in Data : An Introductuon to Cluster Analysis
    Vol . 86 ( 416 ) . pp . 830-832 [1990]
  • Factors in Productivity and Unit Cost for Advanced Machine Guidance
    Vol . 128 ( 5 ) pp . 367-374 [2002]
  • Factors Affecting Selection &Combination of Earthwork Equipments
    Vol.10 ( 1 ) , pp . 201-205 . ( in Korean ) [2010]
  • Extention of IFC Core Schema for Earth Work Object
    pp . 727-730 . ( in Korean ) [2014]
  • Extended market report on GOOD ROUTE applications and preliminary exploitation strategy
    [2006]
  • Estimating pit-excavation volume using cubic spline volume formula
    2 ) , pp . 51-66 . [1991]
  • Estimating pit excavation volume using unequal intervals
    4 ) , pp . 390-401 . [1989]
  • Estimating pit excavation volume using nonlinear ground profile
    2 ) , pp . 71-83 .
  • Estimating earchwork volumes of curved roadways : Mathematical Model
    Vol . 118 ( 6 ) , pp . 834-849 . [1992]
  • Energy Effective Clustering-based S elective Collaborative Spectrum Sensing for Communication of MassiveinBuilding Device
    [2012]
  • Emission and Cost Configurations in Earthmoving Operations
    Vol . 4 ( 1 ) , pp . 393-402 . [2012]
  • Elementary Surveying
    pp . 245-254 [1984]
  • Efficient path planning method based on Genetic Algorithm combining path network
    [2010]
  • Efficient and Effective Clustering Methods for Spatial Data Mining
    [1994]
  • Earthwork plan using the precise 3D topographic data
    Vol . 18 ( 1 ) , pp . 63-72 ( in Korean ) [2010]
  • Earthmoving Haul-Route Searching Method for Energy Saving based on Evolutionary Algorithm
    Vol.31 ( 3 ) , pp . 81-88 ( in Korean ) [2015]
  • Discussion of Estimating pit-excavation volume using cubic spline volum eformula ” , by Chen , C. S. , and Lin , H. C.
    ( 2 ) , pp . 66-67 . [1991]
  • Development of a Soil Distribution Method and Equipment Operation Models Using Worker ’ s Heuristics
    Vol . 36 No . 3 , pp . 551-564 ( in Korean ) [2016]
  • Development of a Fleet Management System for Cooperation Among Construction Equipment
    Vol . 36 , No . 3 , pp . 573-586 ( in Korean [2016]
  • Development of Tele-operated Equipment for Concrete Surface Grinding
    Vol 2006 No . 10. pp . 3749-3752 ( in Korean ) [2006]
  • Development of Task Planning System for Intelligent Excavating System Applying Heuristics
    Vol . 28 ( 6 ) , pp . 859-869 ( in Korean [2008]
  • Design of Heuristics Using Vertex Informaion in a Grid-based Map
    Vol . 20 ( 1 ) pp . 86-92 ( in Korean ) [2015]
  • Describing a Beta Probability Distribution Function for Construction Simulation
    Vol . 131 ( 2 ) pp . 221-229 [2005]
  • Data Mining : Concepts and Techniques
    pp . 335-393 [2001]
  • Correlation Analysis on the Duration and CO2 Emission Following the Earth-work Equipment Combination
    Vol . 31 ( 4D ) , pp . 603-611 . ( in Korean ) [2011]
  • Construction Equipment Fleet Optimization for Energy Saving in Earthmoving Operation
    Vol . 31 ( 4 ) , pp . 137-144 ( in Korean ) [2015]
  • Construction Automation and Robotics : Today and Tomorrow
    Vol . 51 ( 6 ) , pp . 25-27 [2007]
  • Comparing partitions
    Vol . 2 ( 2 ) , pp . 193-218 . [1985]
  • Clustering algorithms .
    Vol . 3 ( 3 ) , pp . 573-580 [1975]
  • Classification of Earthwork Shape for Extension IFC in Civil Engineering
    KSCE , pp . 248-251 . ( in Korean ) [2013]
  • CARETRACK 솔루션
    Volvo, https://www.volvoce.com/south-korea/do-kr/
  • BIRCH : An efficient data clustering method for very large databases
    SIGMOD ’ 96 ) . 103-114 . [1996]
  • Area of irregular region with unequal intervals
    2 ) , pp . 50-58 .
  • Area computation using salient boundary points
    Vol.109 ( 1 ) , pp . 54-63 . [1983]
  • Applied Numerical Analysis
    pp . 248-256 . [1984]
  • Application of GIS-based Viewshed Analysis for Selecting Optimal Viewpoints and for Evaluating the Sight Distance on a Haul Road in Open-pit mines
    Vol . 45 , No . 3 pp . 1-11 ( in Korean [2008]
  • An Earthwork Districting Model for Large Construction Project
    Vol . 35 ( 3 ) , pp . 715-723 ( in Korean ) [2015]
  • An Approach for Soild Modeling and Equipment Fleet Management Towards Low-Carbon Earthwork
    Vol . 35 ( 2 ) , ( in Korean ) [2015]
  • A study on accuracy of earthwork calculation
    [2010]
  • A multi-agent based cooperation system for an intelligent earthwork
    Vol . 34 , No . 5 , pp . 1609-1623 ( in Korean [2014]
  • A greedy EM algorithm for Gaussian mixture learning
    Vol . 15 ( 1 ) , pp . 77-87 . [2002]
  • A framework for managing emissions from construction processes
    [2009]
  • A Study on the lmprovement of a Fleet Management System for Construction Equipment
    Vol . 37 ( 6 ) , pp . 1063-1076 . ( in Korean ) [2017]
  • A Study on the Estimation of Occupational Safety and Health Expense Rate by Safety Environment Change in Construction Industry
    Vol . 14 No . 4 ( in Korean ) [2002]
  • A Study on the Estimating of the Dump Truck 's Travel Speed Based on Analysis of Factors Affecting Earthmoving Operation
    Vol . 8 No . 3 pp . 97-105 ( in Korean [2007]
  • A Study on the Development of a Fleet Management System for Construction Equipment
    14 ( 18 ) pp . 6659-6667 [2019]
  • A Study on Suitability for the Earth-volume Estimation of Complex Area Using Digital Map
    [2014]
  • A Study on Core Technologies for Developing Automated Construction Equipment
    Vol . 2004 No . 10 , pp . 1832-1837 ( in Korean ) [2004]
  • A Study on 2D-Based Earthwork Planning Methods
    Vol . 23 ( 3 ) , pp . 34—357 . ( in Korean ) [2003]
  • A Study of theCombination Method for Earthwork Equipments Using the Environmental Loads andCosts ''
    Vol . 33 ( 3 ) , pp . 1215-1224 . ( in Korean ) [2013]
  • A Study On the Safety Management of construction equipment Using Smart Phone Technology ( Focused on poclain and mobile elevated work platform
    pp . 43-59 ( in Korean ) [2012]
  • A K-means-like Algorithm for K-medoids Clustering
    pp . 51-54 ( in Korean ) [2005]
  • A GIS-Based Planning Methodology to Determine the Haul Route Layout in Complex Construction Projects
    Vol.30 ( 6 ) , pp . 631-639 ( in Korean ) [2010]
  • 92. RPOLEC, Digmarster Pro-3D, https://www.digi.com/customer-stories/
  • 90. GEOSPATIAL WORLD(BIM adoption around the world) http://www.geospationworld.net/article/bim
  • 89. David’s Blog (2014). “Advanced Octree3: Non Static Octrees”, Computer graphics, data structures, and algorithms. https://geidav.wordpress.com/author/geidav/
  • 79 . Seo , J. W. Kang , S. H. ( 2005 ) . A Study on GIS-Based RoadwayS. S. Kim , J. H. Kim ,
    . “ Task Planner Design for an Automated Excavation System
  • 46. Chae, M. J. Lee, K. W. Kim, J. R. Park, J. W. Ryu, H. S. Cho, M. Y. (2009). “Development of the 3D Imaging System and Automatic Registration Algorithm for the Intelligent Excavation System (IES)”, Korean Journal of Construction Engineering and Management, Vol.10 (1), pp.136-145. (in Korean)
  • 40. US Department of Energy (2015). “Berkeley Lab Promotes Low-Corbon Cities in China.” Energy Analysis & Environmental Impacts Division News, http://eaei.lbl.gov/
  • 3D-based Earthwork Planning and CO₂Emission Estimation for Automated Earthworks
    Vol . 33 ( 0 ) , pp . 1191-1202 ( in Korean ) [2013]