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Bahaa Eddine MNEYMNEH, Mohamad ABBAS, Hiam KHOURY
Frontiers of Engineering Management 2018, Volume 5, Issue 2, Pages 227-239 doi: 10.15302/J-FEM-2018071
Keywords: construction safety personal protective equipment hardhat computer vision
Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring Review
Billie F. Spencer Jr.,Vedhus Hoskere,Yasutaka Narazaki
Engineering 2019, Volume 5, Issue 2, Pages 199-222 doi: 10.1016/j.eng.2018.11.030
Computer vision techniques, in conjunction with acquisition through remote cameras and unmanned aerialThis paper provides an overview of recent advances in computer vision techniques as they apply to theIn particular, relevant research in the fields of computer vision, machine learning, and structural engineeringSubsequently, some of the key challenges that persist towards the goal of automated vision-based civil
Keywords: Structural inspection and monitoring Artificial intelligence Computer vision Machine learning Optical
Information fusion in aquaculture: a state-of the art review
Shahbaz Gul HASSAN,Murtaza HASAN,Daoliang LI
Frontiers of Agricultural Science and Engineering 2016, Volume 3, Issue 3, Pages 206-221 doi: 10.15302/J-FASE-2016111
Keywords: aquaculture computer vision information fusion modeling sensor
Light field imaging for computer vision: a survey Review Article
Chen JIA, Fan SHI, Meng ZHAO, Shengyong CHEN
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 7, Pages 1077-1097 doi: 10.1631/FITEE.2100180
Keywords: Light field imaging Camera array Microlens array Epipolar plane image Computer vision
Bridging the gap: Neuro-Symbolic Computing for advanced AI applications in construction
Frontiers of Engineering Management Pages 727-735 doi: 10.1007/s42524-023-0266-0
Keywords: advanced AI in construction safety and quality inspection Neuro-Symbolic Computing Deep Learning computervision
Benefits Realization Management of Computer Vision in Construction: A Missed, Yet Not Lost, Opportunity Views & Comments
Peter E.D. Love,Jane Matthews,Weili Fang,Hanbin Luo
Engineering 2023, Volume 27, Issue 8, Pages 11-13 doi: 10.1016/j.eng.2022.09.009
Efficient Identification of water conveyance tunnels siltation based on ensemble deep learning
Xinbin WU; Junjie LI; Linlin WANG
Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 5, Pages 564-575 doi: 10.1007/s11709-022-0829-x
Keywords: conveyance tunnels siltation images remotely operated vehicles deep learning ensemble learning computervision
Current applications of artificial intelligence for intraoperative decision support in surgery
Allison J. Navarrete-Welton, Daniel A. Hashimoto
Frontiers of Medicine 2020, Volume 14, Issue 4, Pages 369-381 doi: 10.1007/s11684-020-0784-7
Keywords: artificial intelligence decision support clinical decision support systems intraoperative deep learning computervision machine learning surgery
Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0675-5
Keywords: ceramic parts trimming computer-aided laser manufacturing 3D vision reconfigurable laser processing
Engineering in the Field of Vision of Philosophy
Yin Ruiyu
Strategic Study of CAE 2008, Volume 10, Issue 3, Pages 4-8
Through a study on materialist conception of history, it is indicated that engineering is a basic practical activity during humanity existence and development, and always a direct productivity at different historical periods. The engineering activity appeared before science activity. It is also believed that the knowledge and activity which relates to nature should be divided into three components of science, technology and engineering.The main characters of the science activity are "exploration" and "discovery" , the main characters of the technology activity are "invention" and " innovation" , and the main characters of the engineering activity are "integration" and " construction" . From a point of view of modern knowledge, a related knowledge chain (knowledge network) exists among science-technology-engineering-industry. The relationship between engineering and industry is more direct and closes.The engineering is a practical activity of humanity for maintaining existence, multiplication and development, and constructing "homeland" and "living" well, and is also an embodiment of human wisdom and seeked "ideal" . From a point of view of philosophy, the result of the engineering activity usually embodies in constructing a new existence, i.e. an integrator of optimized construction under a certain boundary condition. Engineering integration contains various technical element integration, and also contains optimization-integration of technical element and basic elements of economics, society and management under a certain condition.Under a condition of new century, engineering is an important field of innovation activity, should be a new field of philosophy consideration. The transcendence of philosophy and engineering exists various "intermingling" and "merging" . Therefore, engineering needs philosophy, and philosophy needs to face engineering. An interaction of engineering and philosophy is a feature raising in the Chinese engineering philosophy.
Keywords: engineering field of vision of philosophy
Performance analysis of visualmarkers for indoor navigation systems Article
Gaetano C. LA DELFA,Salvatore MONTELEONE,Vincenzo CATANIA,Juan F. DE PAZ,Javier BAJO
Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 8, Pages 730-740 doi: 10.1631/FITEE.1500324
Keywords: Indoor localization Visual markers Computer vision
A quantitative attribute-based benchmark methodology for single-target visual tracking Article
Wen-jing KANG, Chang LIU, Gong-liang LIU
Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 3, Pages 405-421 doi: 10.1631/FITEE.1900245
Keywords: Visual tracking Performance evaluation Visual attributes Computer vision
Edge Detection Based on a Uniform B-Spline With Shape Parameter by Modifying Profit and Loss Data
Zhao Yanli ,Wang Zhan ,Guo Chenghao ,Liu Fengyu
Strategic Study of CAE 2007, Volume 9, Issue 7, Pages 65-70
This paper puts forward a novel image edge detection method based on uniform B-spline with shape parameter by modifying profit and loss data. The original image intensity is modified for decreasing the residual error between smooth image and original image. A smooth surface of the digital image is presented by the new modified data. The edge point is detected by either computing the local extreme of the directional derivative or computing zero crossing of the second order directional derivative of the smooth surface. Experiments demonstrate that this algorithm is simple, accurate and reliable. It can wipe off the bogus edge commendably and process the digital image in real time.
Keywords: uniform B-spline with shape parameter edge detection computer vision profit and loss modifying
Machine vision-based automatic fruit quality detection and grading
Frontiers of Agricultural Science and Engineering doi: 10.15302/J-FASE-2023532
● A machine vision-based prototype system was developed for fruit grading
Keywords: Computer and machine vision convolution neural network deep learning defective fruit detection fruit
Oguzhan Dogru, Kirubakaran Velswamy, Biao Huang
Engineering 2021, Volume 7, Issue 9, Pages 1248-1261 doi: 10.1016/j.eng.2021.04.027
This paper synchronizes control theory with computer vision by formalizing object tracking as a sequential
Keywords: Interface tracking Object tracking Occlusion Reinforcement learning Uniform manifold approximation and projection
Title Author Date Type Operation
Evaluation of computer vision techniques for automated hardhat detection in indoor construction safety
Bahaa Eddine MNEYMNEH, Mohamad ABBAS, Hiam KHOURY
Journal Article
Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring
Billie F. Spencer Jr.,Vedhus Hoskere,Yasutaka Narazaki
Journal Article
Information fusion in aquaculture: a state-of the art review
Shahbaz Gul HASSAN,Murtaza HASAN,Daoliang LI
Journal Article
Light field imaging for computer vision: a survey
Chen JIA, Fan SHI, Meng ZHAO, Shengyong CHEN
Journal Article
Bridging the gap: Neuro-Symbolic Computing for advanced AI applications in construction
Journal Article
Benefits Realization Management of Computer Vision in Construction: A Missed, Yet Not Lost, Opportunity
Peter E.D. Love,Jane Matthews,Weili Fang,Hanbin Luo
Journal Article
Efficient Identification of water conveyance tunnels siltation based on ensemble deep learning
Xinbin WU; Junjie LI; Linlin WANG
Journal Article
Current applications of artificial intelligence for intraoperative decision support in surgery
Allison J. Navarrete-Welton, Daniel A. Hashimoto
Journal Article
A zone-layered trimming method for ceramic core of aero-engine blade based on an advanced reconfigurable laser processing system
Journal Article
Performance analysis of visualmarkers for indoor navigation systems
Gaetano C. LA DELFA,Salvatore MONTELEONE,Vincenzo CATANIA,Juan F. DE PAZ,Javier BAJO
Journal Article
A quantitative attribute-based benchmark methodology for single-target visual tracking
Wen-jing KANG, Chang LIU, Gong-liang LIU
Journal Article
Edge Detection Based on a Uniform B-Spline With Shape Parameter by Modifying Profit and Loss Data
Zhao Yanli ,Wang Zhan ,Guo Chenghao ,Liu Fengyu
Journal Article