Search scope:
排序: Display mode:
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
Frontiers of Agricultural Science and Engineering doi: 10.15302/J-FASE-2023502
● Soil properties varied within coefficients of variation ranging from 7% to 169%.
Keywords: agroecosystem Choke Mountain watershed coefficients of variation Ethiopia soil quality indicator
Luosi WEI, Zongxia JIAO
Frontiers of Mechanical Engineering 2009, Volume 4, Issue 2, Pages 184-191 doi: 10.1007/s11465-009-0034-9
Keywords: machine vision visual location solder paste printing VisionPro
A visual graphic approach for mobility analysis of parallel mechanisms
Xu PEI, Jingjun YU
Frontiers of Mechanical Engineering 2011, Volume 6, Issue 1, Pages 92-95 doi: 10.1007/s11465-011-0213-3
Visual Inspection Technology and its Application
Ye Shenghua,Zhu Jigui,Wang Zhong,Yang Xueyou
Strategic Study of CAE 1999, Volume 1, Issue 1, Pages 49-52
Visual inspection, especially, the active visual inspection and passive visual inspection based onVisual inspection is a advanced inspection technology, satisfies modern manufacturing demands.This paper discusses the principle of visual inspection, studies several developed applied visual inspectionsystems, these systems demostrate wide application foreground of visual inspection from different points
Keywords: active visual inspection passive visual inspection inspection system modern manufacturing
An autonomous miniature wheeled robot based on visual feedback control
CHEN Haichu
Frontiers of Mechanical Engineering 2007, Volume 2, Issue 2, Pages 197-200 doi: 10.1007/s11465-007-0033-7
Keywords: measuring distance autonomous locomotion advantage navigation
Xinnan ZHANG, Takashi IZATO, Junzo MUNENOTO, Daisuke MATSUSHITA, Tetsu YOSHIDA
Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 4, Pages 438-449 doi: 10.1007/s11709-010-0076-4
Keywords: workplace non-territorial office staying behavior ultra wide band (UWB) sensor network
Interactive visual labelling versus active learning: an experimental comparison Research
Mohammad CHEGIN, Jürgen BERNARD, Jian CUI, Fatemeh CHEGINI, Alexei SOURIN, Keith Keith, Tobias SCHRECK
Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 4, Pages 524-535 doi: 10.1631/FITEE.1900549
Keywords: Interactive visual labelling Active learning Visual analytics
Wei LU,Zhi-yu XIANG,Ji-lin LIU
Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 2, Pages 152-165 doi: 10.1631/FITEE.1400139
Keywords: Visual odometry Panoramic landmark Landmark matching Compressed sensing Adaptive compressive feature
Application of RFID in the Visual Logistics System
Wang Aiming,Mu Xiaoxi,Li Aihua
Strategic Study of CAE 2006, Volume 8, Issue 8, Pages 65-68
Keywords: visual logistics radio frequency identification visual system for the carrying materials
On visual knowledge Perspective
Yun-he PAN
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 8, Pages 1021-1025 doi: 10.1631/FITEE.1910001
Keywords: None
Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 6, doi: 10.1007/s11783-023-1677-1
● MSWNet was proposed to classify municipal solid waste.
Keywords: Municipal solid waste sorting Deep residual network Transfer learning Cyclic learning rate Visualization
Grasp Planning and Visual Servoing for an Outdoors Aerial Dual Manipulator Article
Pablo Ramon-Soria, Begoña C. Arrue, Anibal Ollero
Engineering 2020, Volume 6, Issue 1, Pages 77-88 doi: 10.1016/j.eng.2019.11.003
This paper describes a system for grasping known objects with unmanned aerial vehicles (UAVs) provided with dual manipulators using an RGB-D camera. Aerial manipulation remains a very challenging task. This paper covers three principal aspects for this task: object detection and pose estimation, grasp planning, and in-flight grasp execution. First, an artificial neural network (ANN) is used to obtain clues regarding the object’s position. Next, an alignment algorithm is used to obtain the object’s six-dimensional (6D) pose, which is filtered with an extended Kalman filter. A three-dimensional (3D) model of the object is then used to estimate an arranged list of good grasps for the aerial manipulator. The results from the detection algorithm—that is, the object’s pose—are used to update the trajectories of the arms toward the object. If the target poses are not reachable due to the UAV’s oscillations, the algorithm switches to the next feasible grasp. This paper introduces the overall methodology, and provides the experimental results of both simulation and real experiments for each module, in addition to a video showing the results.
Keywords: Aerial manipulation Grasp planning Visual servoing
Attributes, challenges and future directions of community resilience
Bo MENG, Nan LI, Dongping FANG
Frontiers of Engineering Management 2018, Volume 5, Issue 3, Pages 307-323 doi: 10.15302/J-FEM-2018030
With the continuous development of human society, the damage to the natural environment is becoming increasingly large, causing crisis events to occur frequently. In recent years, the study of community resilience is becoming popular among scholars because of its perspective on disaster prevention and mitigation. In this study, we apply database retrieval to untangle community resilience-related papers from multiple directions. We analyze the connotation, attribute, and composition of community, resilience, and community resilience comprehensively by summarizing important issues and research progress in community resilience. Challenges and shortcomings faced by community resilience development are also determined. Moreover, we put forward the research directions that future research can focus on. Through literature review, current research on community resilience focuses on the following aspects: “infrastructure construction,” “crowd in the community,” “economic resilience,” “social capital,” and “measurement of community resilience.” Such research is not yet systematic and relatively decentralized. The attention to collective resilience in the community is relatively weak, which makes achieving the goal of “people-oriented and systematic control” difficult. Therefore, this study states that the development of future community resilience should stand from the perspective of “system of system” and build on knowledge and tools of various relevant domains. Therefore, public needs and participation are highlighted as breakthrough points. The research should integrate infrastructure and economic resilience, social resource allocation, network connection, and other aspects to build a holistic and functional resilient community.
Keywords: community resilience literature analysis resilience attribute social resource future direction
NLWSNet: a weakly supervised network for visual sentiment analysis in mislabeled web images
Luo-yang Xue, Qi-rong Mao, Xiao-hua Huang, Jie Chen,mao_qr@ujs.edu.cn
Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 9, Pages 1267-1412 doi: 10.1631/FITEE.1900618
Title Author Date Type Operation
A quantitative attribute-based benchmark methodology for single-target visual tracking
Wen-jing KANG, Chang LIU, Gong-liang LIU
Journal Article
CHARACTERISTICS OF SOIL QUALITY ATTRIBUTES UNDER DIFFERENT AGROECOSYSTEMS AND ITS IMPLICATIONS FOR AGRICULTURE
Journal Article
Research and application of visual location technology for solder paste printing based on machine vision
Luosi WEI, Zongxia JIAO
Journal Article
A visual graphic approach for mobility analysis of parallel mechanisms
Xu PEI, Jingjun YU
Journal Article
Visual Inspection Technology and its Application
Ye Shenghua,Zhu Jigui,Wang Zhong,Yang Xueyou
Journal Article
Relationship between office workers’ staying and workstation attributes in a non-territorial office using
Xinnan ZHANG, Takashi IZATO, Junzo MUNENOTO, Daisuke MATSUSHITA, Tetsu YOSHIDA
Journal Article
Interactive visual labelling versus active learning: an experimental comparison
Mohammad CHEGIN, Jürgen BERNARD, Jian CUI, Fatemeh CHEGINI, Alexei SOURIN, Keith Keith, Tobias SCHRECK
Journal Article
Design of an enhanced visual odometry by building and matching compressive panoramic landmarks online
Wei LU,Zhi-yu XIANG,Ji-lin LIU
Journal Article
MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal
Journal Article
Grasp Planning and Visual Servoing for an Outdoors Aerial Dual Manipulator
Pablo Ramon-Soria, Begoña C. Arrue, Anibal Ollero
Journal Article
Attributes, challenges and future directions of community resilience
Bo MENG, Nan LI, Dongping FANG
Journal Article