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A knowledge push technology based on applicable probability matching and multidimensional context driving None

Shu-you ZHANG, Ye GU, Xiao-jian LIU, Jian-rong TAN

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 2,   Pages 235-245 doi: 10.1631/FITEE.1700763

Abstract: Actively pushing design knowledge to designers in the design process, what we call ‘knowledge push’,A knowledge push technology usually includes matching of related knowledge and proper pushing of matchingExisting approaches on knowledge matching commonly have a lack of intel-ligence.Also, the pushing of matching results is less personalized.In this paper, we propose a knowledge push technology based on applicable probability matching and multidimensional

Keywords： Product design     Knowledge push     Applicable probability matching     Multidimensional context     Personalization    

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A knowledge matching approach based on multi-classification radial basis function neural network forknowledge push system Research Articles

Shu-you Zhang, Ye Gu, Guo-dong Yi, Zi-li Wang,zsy@zju.edu.cn,me_guye@zju.edu.cn,ygd@zju.edu.cn,ziliwang@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 7,   Pages 963-1118 doi: 10.1631/FITEE.1900057

Abstract: We focus on the domain of , where traditional matching algorithms need repeated calculations that resultThe goal of our approach is to meet designers’ knowledge demands with a quick response and quality serviceaddition, we propose a multi-classification radial basis function neural network that can match the knowledgefrom the knowledge base once and ensure the accuracy of pushing results.Moreover, experimental results reveal that our approach outperforms other matching approaches.

Keywords： Product design     Knowledge push system     Augmented training set     Multi-classification neural network     Knowledgematching    

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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: Efficient and precise localization is a prerequisite for the intelligent navigation of mobile robots. Traditional visual localization systems, such as visual odometry (VO) and simultaneous localization and mapping (SLAM), suffer from two shortcomings: a drift problem caused by accumulated localization error, and erroneous motion estimation due to illumination variation and moving objects. In this paper, we propose an enhanced VO by introducing a panoramic camera into the traditional stereo-only VO system. Benefiting from the 360° field of view, the panoramic camera is responsible for three tasks: (1) detecting road junctions and building a landmark library online; (2) correcting the robot’s position when the landmarks are revisited with any orientation; (3) working as a panoramic compass when the stereo VO cannot provide reliable positioning results. To use the large-sized panoramic images efficiently, the concept of compressed sensing is introduced into the solution and an adaptive compressive feature is presented. Combined with our previous two-stage local binocular bundle adjustment (TLBBA) stereo VO, the new system can obtain reliable positioning results in quasi-real time. Experimental results of challenging long-range tests show that our enhanced VO is much more accurate and robust than the traditional VO, thanks to the compressive panoramic landmarks built online.

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

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Beyond bag of latent topics: spatial pyramid matching for scene category recognition

Fu-xiang LU,Jun HUANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10,   Pages 817-828 doi: 10.1631/FITEE.1500070

Abstract: We propose a heterogeneous, mid-level feature based method for recognizing natural scene categories. The proposed feature introduces spatial information among the latent topics by means of spatial pyramid, while the latent topics are obtained by using probabilistic latent semantic analysis (pLSA) based on the bag-of-words representation. The proposed feature always performs better than standard pLSA because the performance of pLSA is adversely affected in many cases due to the loss of spatial information. By combining various interest point detectors and local region descriptors used in the bag-of-words model, the proposed feature can make further improvement for diverse scene category recognition tasks. We also propose a two-stage framework for multi-class classification. In the first stage, for each of possible detector/descriptor pairs, adaptive boosting classifiers are employed to select the most discriminative topics and further compute posterior probabilities of an unknown image from those selected topics. The second stage uses the prod-max rule to combine information coming from multiple sources and assigns the unknown image to the scene category with the highest ‘final’ posterior probability. Experimental results on three benchmark scene datasets show that the proposed method exceeds most state-of-the-art methods.

Keywords： Scene category recognition     Probabilistic latent semantic analysis     Bag-of-words     Adaptive boosting    

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A new method of rock-explosive matching in drilling and blasting based on reasonable control of the crushed

LengZhendong,LuWenbo,YanPeng, ChenMing,Hu Yingguo

Strategic Study of CAE 2014, Volume 16, Issue 11,   Pages 28-35

Abstract:

Reasonable rock-explosive matching is of great important to the enhancingThe traditionally emphasized method of acoustic impedance matching is not reasonable.Starting from the blasting breakage mechanism, a new method of rock-explosive matching in drilling and

Keywords： drilling and blasting     crushed zone     rock-explosive matching     acoustic impedance matching    

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Standard model of knowledge representation

Wensheng YIN

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 3,   Pages 275-288 doi: 10.1007/s11465-016-0372-3

Abstract:

Knowledge representation is the core of artificial intelligence research.To establish the intrinsic link between various knowledge representation methods, a unified knowledgeThis knowledge representation method is not a contradiction to the traditional knowledge representationIt can express knowledge in terms of multivariate and multidimensional.and inconsistent knowledge.

Keywords： knowledge representation     standard model     ontology     system theory     control theory     multidimensional representation    

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A Framework of Knowledge Theory： Toward a Unified Theory of Information, Knowledge and Intelligence

Zhong Yixin

Strategic Study of CAE 2000, Volume 2, Issue 9,   Pages 50-64

Abstract:

Knowledge has been very important wealth to the mankind but there has not a knowledge theory existedAn attempt is thus made in the paper to present a framework of knowledge theory that includes two parts: fundamentals and the main body of knowledge theory.The second part is to explore the mechanism of knowledge formation based on information processing andthe mechanism of intelligence formation based on the activation of knowledge.

Keywords： knowledge     amount of knowledge     knowledge formation     knowledge activation     unified theory of information-knowledge-intelligence    

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Research on Knowledge Sharing and Transfer in Remanufacturing Engineering Management Based on SECI Model

Ling-ling Zhang,Ming-hui Zhao,Qiao Wang

Frontiers of Engineering Management 2016, Volume 3, Issue 2,   Pages 136-143 doi: 10.15302/J-FEM-2016030

Abstract: In this paper, an application mode and method of knowledge management in remanufacturing engineeringThe relationships between knowledge transfer, knowledge sharing and remanufacturing engineering managementIt is noticeable that a great deal of knowledge transfer and sharing activities, which can improve the

Keywords： remanufacturing     engineering management     knowledge transfer and sharing     knowledge management    

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perspectives and future research directions for the phytoremediation of heavy metal-contaminated soil: A knowledge

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 6, doi: 10.1007/s11783-021-1507-2

Abstract:

• The overall global perspective of the PHMCS field was obtained.

Keywords： Heavy metal-contaminated soil     Hot topics     Knowledge mapping analysis     Knowledge base     Phytoremediation    

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The application and deepening of knowledge management system

Li Hua

Strategic Study of CAE 2011, Volume 13, Issue 8,   Pages 87-93

Abstract:

In the knowledge economy era, enterprises begin to realize that the mostvaluable property is knowledge.Effectively implementing the knowledge management system should be guided by the correct principles.The selection of sharing knowledge, building knowledge sharing platform and storage management unit,leading knowledge exchange and implementing incentive policies should be emphasized.

Keywords： knowledge management     knowledge sharing     knowledge forum    

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Heuristic solution using decision tree model for enhanced XML schema matching of bridge structural calculation

Sang I. PARK, Sang-Ho LEE

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1403-1417 doi: 10.1007/s11709-020-0666-8

Abstract: XML Schema matching enables qualitative improvement of the stored data.This study aimed to enhance the applicability of XML Schema matching, which improves the speed and qualityFirst, the authors proposed a method of reducing the computing time for the schema matching of bridgeThe computing speed of schema matching was increased by 13 to 1800 times by reducing the checking processSecond, the authors developed a heuristic solution for selecting the optimal weight factors used in the matching

Keywords： structural calculation document     bridge structure     XML Schema matching     weight factor     data mining     decision    

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A algorithm for binocular stereo matching in the presence of specular reflections

Lu Sijun,Tang Zhenmin,Guo Longyuan,Lu Ali

Strategic Study of CAE 2010, Volume 12, Issue 1,   Pages 56-60

Abstract: most part of an image, processing of regions that contain specular reflections can result in severe matchingIn this paper, we address the problem of binocular stereo dense matching in the presence of specular

Keywords： stereo matching     diffuse reflection     specular reflection     chromaticity    

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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 intelligenceand 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-inspiredknowledge coding and memorizing.

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

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Linking elements to outcomes of knowledge transfer in the project environment: Current review and future

Frontiers of Engineering Management 2022, Volume 9, Issue 2,   Pages 221-238 doi: 10.1007/s42524-022-0195-3

Abstract: A project is a specific effort to create a unique product, so it is a favorable place for knowledge creationKnowledge can be transferred inside and outside projects and their parent project-based organizationsHowever, the current research on the elements and outcomes of knowledge transfer (KT) in the projectImportantly, the knowledge gap in the current literature was highlighted, and future research directions

Keywords： knowledge transfer     knowledge management     project management     project environment     literature review    

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Multi-UAV collaborative system with a feature fast matching algorithm

Tian-miao Wang, Yi-cheng Zhang, Jian-hong Liang, Yang Chen, Chao-lei Wang,zycet@126.com

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 12,   Pages 1671-1814 doi: 10.1631/FITEE.2000047

Abstract: real time, we demonstrate an innovative algorithm to avoid catastrophic expansion of feature point matchingBased on the hash and principal component analysis, the matching time complexity of this algorithm can
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Title Author Date Type Operation

A knowledge push technology based on applicable probability matching and multidimensional context driving

Shu-you ZHANG, Ye GU, Xiao-jian LIU, Jian-rong TAN

Journal Article

A knowledge matching approach based on multi-classification radial basis function neural network forknowledge push system

Shu-you Zhang, Ye Gu, Guo-dong Yi, Zi-li Wang,zsy@zju.edu.cn,me_guye@zju.edu.cn,ygd@zju.edu.cn,ziliwang@zju.edu.cn

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

Beyond bag of latent topics: spatial pyramid matching for scene category recognition

Fu-xiang LU,Jun HUANG

Journal Article

A new method of rock-explosive matching in drilling and blasting based on reasonable control of the crushed

LengZhendong,LuWenbo,YanPeng, ChenMing,Hu Yingguo

Journal Article

Standard model of knowledge representation

Wensheng YIN

Journal Article

A Framework of Knowledge Theory： Toward a Unified Theory of Information, Knowledge and Intelligence

Zhong Yixin

Journal Article

Research on Knowledge Sharing and Transfer in Remanufacturing Engineering Management Based on SECI Model

Ling-ling Zhang,Ming-hui Zhao,Qiao Wang

Journal Article

perspectives and future research directions for the phytoremediation of heavy metal-contaminated soil: A knowledge

Journal Article

The application and deepening of knowledge management system

Li Hua

Journal Article

Heuristic solution using decision tree model for enhanced XML schema matching of bridge structural calculation

Sang I. PARK, Sang-Ho LEE

Journal Article

A algorithm for binocular stereo matching in the presence of specular reflections

Lu Sijun,Tang Zhenmin,Guo Longyuan,Lu Ali

Journal Article

Development and Prospect of Big Data Knowledge Engineering

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

Journal Article

Linking elements to outcomes of knowledge transfer in the project environment: Current review and future

Journal Article

Multi-UAV collaborative system with a feature fast matching algorithm

Tian-miao Wang, Yi-cheng Zhang, Jian-hong Liang, Yang Chen, Chao-lei Wang,zycet@126.com

Journal Article