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M-LFM: a multi-level fusion modeling method for shape−performance integrated digital twin of complex

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0708-0

Abstract: performance prediction of dynamic systems by developing a new digital twin framework that includes simulation data, measuring data, multi-level fusion modeling (M-LFM), visualization techniques, and fatigue analysismethod combines the advantages of different surrogate models and integrates simulation and measured data

Keywords: shape−performance integrated digital twin (SPI-DT)     multi-level fusion modeling (M-LFM)     surrogate model     telescopic boom crane     data fusion    

Fault diagnosis of axial piston pumps with multi-sensor data and convolutional neural network

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0692-4

Abstract: fault diagnosis methods only used vibration or pressure signal, and literatures related to multi-sensor datafusion for the pump fault diagnosis are limited.This paper presents an end-to-end multi-sensor data fusion method for the fault diagnosis of axial pistonResults show that the proposed multi-sensor data fusion method greatly improves the fault diagnosis of

Keywords: axial piston pump     fault diagnosis     convolutional neural network     multi-sensor data fusion    

The design of pulse vacuum sterilizer based on fuzzy data fusion

Chen Shuangye

Strategic Study of CAE 2008, Volume 10, Issue 7,   Pages 69-72

Abstract: A control strategy based on fuzzy data fusion is also proposed.

Keywords: fuzzy control     microcontroller     sterilizer    

Research on the data processing methods of airborne vector gravimetry using SINS/GNSS

Ning Jinsheng

Strategic Study of CAE 2014, Volume 16, Issue 3,   Pages 4-13

Abstract: navigation system)/GNSS(global navigation satellite systems)is introduced in the paper,and then the datapreprocessing,data reduction,band-limited topographical effect and downward continuation are discussed

Keywords: airborne vector gravimetry     SINS/GNSS data fusion     earth gravity field     geoid    

Development and Prospect of Big Data Knowledge Engineering

Zheng Qinghua, Liu Huan, Gong Tieliang, Zhang Lingling, Liu Jun

Strategic Study of CAE 2023, Volume 25, Issue 2,   Pages 208-220 doi: 10.15302/J-SSCAE-2023.02.018

Abstract:

Big Data Knowledge Engineering is the infrastructure of artificial intelligenceIn this paper, we firstly elaborate on the background and connotation of big data knowledge engineeringand propose a research framework of “data knowledgeization, knowledge systematization, and knowledgeSecondly, we sort out the key technologies of knowledge acquisition and fusion, knowledge representationdirections including complex big data knowledge acquisition, knowledge+data hybrid learning, and brain-inspired

Keywords: Big Data Knowledge Engineering     Knowledge Acquisition     Knowledge Fusion     Knowledge Representation     Knowledge    

Magnetic confinement fusion: a brief review

Chuanjun HUANG, Laifeng LI

Frontiers in Energy 2018, Volume 12, Issue 2,   Pages 305-313 doi: 10.1007/s11708-018-0539-1

Abstract: Fusion energy is considered to be the ultimate energy source, which does not contribute to climate changeDuring the past several decades, never-ceasing efforts have been made to peacefully utilize the fusionIn this paper, the main developments of magnetic confinement fusion with emphasis on confinement systemsThe scientific feasibility of magnetic confinement fusion has been demonstrated in JET, TFTR, JT-60,A fusion roadmap to DEMO and commercial fusion power plant has been established and steady progresses

Keywords: fusion energy     magnetic confinement     tokamak     structural material     superconducting magnet    

Turbidity-adaptive underwater image enhancement method using image fusion

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-021-0669-8

Abstract: Clear, correct imaging is a prerequisite for underwater operations. In real freshwater environment including rivers and lakes, the water bodies are usually turbid and dynamic, which brings extra troubles to quality of imaging due to color deviation and suspended particulate. Most of the existing underwater imaging methods focus on relatively clear underwater environment, it is uncertain that if those methods can work well in turbid and dynamic underwater environments. In this paper, we propose a turbidity-adaptive underwater image enhancement method. To deal with attenuation and scattering of varying degree, the turbidity is detected by the histogram of images. Based on the detection result, different image enhancement strategies are designed to deal with the problem of color deviation and blurring. The proposed method is verified by an underwater image dataset captured in real underwater environment. The result is evaluated by image metrics including structure similarity index measure, underwater color image quality evaluation metric, and speeded-up robust features. Test results exhibit that the method can correct the color deviation and improve the quality of underwater images.

Keywords: turbidity     underwater image enhancement     image fusion     underwater robots     visibility    

Gradient-based compressive image fusion

Yang CHEN,Zheng QIN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 3,   Pages 227-237 doi: 10.1631/FITEE.1400217

Abstract: We present a novel image fusion scheme based on gradient and scrambled block Hadamard ensemble (SBHE)In the fusion phase, the image gradient is calculated to reflect the abundance of its contour informationFinally, inverse transformation is applied to the coefficients derived from fusion, and the fused imagequality in line with different fusion schemes.Furthermore, the gradient-based fusion scheme proposed in this paper can be applied in different fusion

Keywords: Compressive sensing (CS)     Image fusion     Gradient-based image fusion     CS-based image fusion    

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

Abstract: In this review, an information fusion approach was used to integrate multi-sensor and computer visionInformation fusion is a well-known technology that has been used in different fields of artificial intelligenceInformation fusion in aquaculture is a growing field of research that is used to enhance the performanceThis review study surveys different fish feeding systems using multi-sensor data fusion, computer vision

Keywords: aquaculture     computer vision     information fusion     modeling     sensor    

Iterative HOEO fusion strategy: a promising tool for enhancing bearing fault feature

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 1, doi: 10.1007/s11465-022-0725-z

Abstract: To address these issues, this paper presents a novel EO fusion strategy for enhancing the bearing faultMDIM is regarded as the fusion source of the proposed strategy with the properties of improving the signal-to-interferenceenhancing the bearing fault feature than the existing methods, including HOEOs, the weighting HOEO fusion

Keywords: higher order energy operator     fault diagnosis     manifold learning     rolling element bearing     information fusion    

Contact detection with multi-information fusion for quadruped robot locomotion under unstructured terrain

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 3, doi: 10.1007/s11465-023-0760-4

Abstract: quadruped robots, a detection approach based on the probabilistic contact model with multi-information fusion

Keywords: multi-information fusion     contact detection     quadruped robot     probabilistic contact model     unstructured    

Underwater object detection by fusing features from different representations of sonar data Research Article

Fei WANG, Wanyu LI, Miao LIU, Jingchun ZHOU, Weishi ZHANG,feiwang@dlmu.edu.cn,zhoujingchun@dlmu.edu.cn,teesiv@dlmu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 6,   Pages 828-843 doi: 10.1631/FITEE.2200429

Abstract: Modern methods recognize objects from sonar data based on their geometric shapes.However, the distortion of objects during data acquisition and representation is seldom considered.In this paper, we present a detailed summary of representations for sonar data and a concrete analysisof the geometric characteristics of different data representations.In addition, the fusion strategies can be easily integrated into other detectors, such as the You Only

Keywords: Underwater object detection     Sonar data representation     Feature fusion    

Analysis of spinal lumbar interbody fusion cage subsidence using Taguchi method, finite element analysis

Christopher John NASSAU, N. Scott LITOFSKY, Yuyi LIN

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 3,   Pages 247-255 doi: 10.1007/s11465-012-0335-2

Abstract: Anterior lumbar interbody fusion (ALIF) cages may subside into the vertebral body and lead to kyphoticprevious studies have utilized an artificial neural network (ANN) for the design of a spinal interbody fusionTherefore, the Taguchi-FEA-ANN approach can serve as an effective procedure for designing a spinal fusion

Keywords: anterior lumbar interbody fusion (ALIF)     artificial neural network (ANN)     finite element     interbody cage     lumbar interbody fusion     subsidence     taguchi method    

A Co-Point Mapping-Based Approach to Drivable Area Detection for Self-Driving Cars Article

Ziyi Liu,Siyu Yu,Nanning Zheng

Engineering 2018, Volume 4, Issue 4,   Pages 479-490 doi: 10.1016/j.eng.2018.07.010

Abstract: In addition, a fusion of four features is applied in order to achieve a more robust performance.

Keywords: Drivable area     Self-driving     Data fusion     Co-point mapping    

Development and testing of a wireless smart toolholder with multi-sensor fusion

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 4, doi: 10.1007/s11465-023-0774-y

Abstract: It enables in situ monitoring of cutting data and machining accuracy evolution and has becomeIn this study, we propose a wireless smart toolholder with multi-sensor fusion for simultaneous sensingWe select force, vibration, and temperature sensors suitable for smart toolholder fusion to adapt toExperimental results demonstrate that the smart toolholder accurately captures machining data with a

Keywords: wireless smart toolholder     multi-sensor fusion     circular runout     dynamic balancing     static stiffness    

Title Author Date Type Operation

M-LFM: a multi-level fusion modeling method for shape−performance integrated digital twin of complex

Journal Article

Fault diagnosis of axial piston pumps with multi-sensor data and convolutional neural network

Journal Article

The design of pulse vacuum sterilizer based on fuzzy data fusion

Chen Shuangye

Journal Article

Research on the data processing methods of airborne vector gravimetry using SINS/GNSS

Ning Jinsheng

Journal Article

Development and Prospect of Big Data Knowledge Engineering

Zheng Qinghua, Liu Huan, Gong Tieliang, Zhang Lingling, Liu Jun

Journal Article

Magnetic confinement fusion: a brief review

Chuanjun HUANG, Laifeng LI

Journal Article

Turbidity-adaptive underwater image enhancement method using image fusion

Journal Article

Gradient-based compressive image fusion

Yang CHEN,Zheng QIN

Journal Article

Information fusion in aquaculture: a state-of the art review

Shahbaz Gul HASSAN,Murtaza HASAN,Daoliang LI

Journal Article

Iterative HOEO fusion strategy: a promising tool for enhancing bearing fault feature

Journal Article

Contact detection with multi-information fusion for quadruped robot locomotion under unstructured terrain

Journal Article

Underwater object detection by fusing features from different representations of sonar data

Fei WANG, Wanyu LI, Miao LIU, Jingchun ZHOU, Weishi ZHANG,feiwang@dlmu.edu.cn,zhoujingchun@dlmu.edu.cn,teesiv@dlmu.edu.cn

Journal Article

Analysis of spinal lumbar interbody fusion cage subsidence using Taguchi method, finite element analysis

Christopher John NASSAU, N. Scott LITOFSKY, Yuyi LIN

Journal Article

A Co-Point Mapping-Based Approach to Drivable Area Detection for Self-Driving Cars

Ziyi Liu,Siyu Yu,Nanning Zheng

Journal Article

Development and testing of a wireless smart toolholder with multi-sensor fusion

Journal Article