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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

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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

Abstract: Large-scale datasets are driving the rapid developments of deep convolutional neural networks for . However, the annotation of large-scale datasets is expensive and time consuming. Instead, it is easy to obtain weakly labeled web images from the Internet. However, noisy labels still lead to seriously degraded performance when we use images directly from the web for training networks. To address this drawback, we propose an end-to-end network, which is robust to mislabeled web images. Specifically, the proposed attention module automatically eliminates the distraction of those samples with incorrect labels by reducing their attention scores in the training process. On the other hand, the special-class activation map module is designed to stimulate the network by focusing on the significant regions from the samples with correct labels in a approach. Besides the process of feature learning, applying regularization to the classifier is considered to minimize the distance of those samples within the same class and maximize the distance between different class centroids. Quantitative and qualitative evaluations on well- and mislabeled web image datasets demonstrate that the proposed algorithm outperforms the related methods.

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Research and application of visual location technology for solder paste printing based on machine vision

Luosi WEI, Zongxia JIAO

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 2, Pages 184-191 doi: 10.1007/s11465-009-0034-9

Abstract: This paper presents an integrated visual location system for solder paste printing based on machine visionworking principle of solder paste printing is introduced and then the design and implementation of the visual

Keywords： machine vision visual location solder paste printing VisionPro

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QUANTITATIVE STUDY ON ANTI-PEST ACTIVITY OF NATURAL PRODUCTS BASED ON VISUALIZATION FRAMEWORK OF KNOWLEDGE GRAPH

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 2, Pages 306-332 doi: 10.15302/J-FASE-2023488

Abstract:

● Using visual analysis to predict the trend of natural product pest

Keywords： anti-pest activity crop protection insect pest natural product visual analysis

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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

Abstract:

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

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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

Abstract: A Charge Coupled Device (CCD) camera is used for measuring and for visual navi gation.The visual navigation and control system allow the robot to navigate and track the target and to accomplish

Keywords： measuring distance autonomous locomotion advantage navigation

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Whole construction process real-time schedule control and visual analysis of the long distance diversion

Hu Lianxing,Tong Dawei,Jiao Kai

Strategic Study of CAE 2011, Volume 13, Issue 12, Pages 97-102

Abstract: theory and virtual reality technology, the whole construction process real-time schedule control and visualanalysis of the long distance diversion tunnel based on simulation are proposed.

Keywords： long diversion tunnel construction schedule real-time control visual simulation

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Analysis of Operator's Visual Process Using a Cognitive Information Processing Model

Jin Yinhua,Li Zhenye,Gu Hui,Tang Yiping

Strategic Study of CAE 2007, Volume 9, Issue 5, Pages 57-61

Abstract: The model is installed on a PC to analyze the visual process of the operator monitoring the overviewVisual process is decided by characteristic of panel information, operator's factors,

Keywords： cognitive information processing model perceptual processor visual process mental state human errors

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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

Abstract: In the past several years, various visual object tracking benchmarks have been proposed, and some ofIn this paper, 12 frame-wise visual attributes that reflect different aspects of the characteristics

Keywords： Visual tracking Performance evaluation Visual attributes Computer vision

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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

Abstract: machine learning allow the classification of new data automatically and are tremendously helpful for data analysisInteractive visual labelling techniques are a promising alternative, providing effective visual overviewsWhile initial results of interactive visual labelling techniques are promising in the sense that userThe results show that all three interactive visual labelling techniques surpass active learning algorithms

Keywords： Interactive visual labelling Active learning Visual analytics

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Design of an enhanced visual odometry by building and matching compressive panoramic landmarks online

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

Abstract: Traditional visual localization systems, such as visual odometry (VO) and simultaneous localization and

Keywords： Visual odometry Panoramic landmark Landmark matching Compressed sensing Adaptive compressive feature

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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

Abstract: Applying RFID to visual logistics system, can gain actual requirement of guaranteed object and informationThe paper introduces the RFID system and its principle, and brings about an application of RFID in visual

Keywords： visual logistics radio frequency identification visual system for the carrying materials

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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

Abstract: 提出“视觉知识”概念。视觉知识是知识表达的一种新形式. 它与迄今为止人工智能（AI）所用知识表达方法不同. 其中视觉概念具有典型（prototype）与范畴结构、层次结构与动作结构等要素. 视觉概念能构成视觉命题，包括场景结构与动态结构，视觉命题能构成视觉叙事。指出重构计算机图形学成果可实现视觉知识表达及其推理与操作，重构计算机视觉成果可实现视觉知识学习。实现视觉知识表达、推理、学习和应用技术将是AI 2.0取得突破的重要方向之一。

Keywords： None

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MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 6, doi: 10.1007/s11783-023-1677-1

Abstract:

● MSWNet was proposed to classify municipal solid waste.

Keywords： Municipal solid waste sorting Deep residual network Transfer learning Cyclic learning rate Visualization

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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

Abstract:

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