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New technology foresight method based on intelligent knowledge management

Lingling ZHANG, Siting HUANG

Frontiers of Engineering Management 2020, Volume 7, Issue 2, Pages 238-247 doi: 10.1007/s42524-019-0062-z

Abstract: Intelligent knowledge management emphasizes human–machine integration, which combines the advantagesThus, we proposed a new technology foresight method based on intelligent knowledge management.

Keywords： technology foresight intelligent knowledge management technological online platform

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Intelligent Products and Equipment Led by New-Generation Artificial Intelligence

Tan Jianrong, Liu Zhenyu, Xu Jinghua

Strategic Study of Chinese Academy of Engineering 2018, Volume 20, Issue 4, Pages 35-43 doi: 10.15302/J-SSCAE-2018.04.007

Abstract:

Intelligent products and equipment is the value carrier, technologicalprerequisite and material base of intelligent manufacturing and service.of intelligent technology, turning intelligence technology into products, which is mainly reflectedmanufacturing equipment, intelligent production, and intelligent management.Researches show that the new-generation intelligent products and equipment focuses on knowledge engineering

Keywords： intelligent products and equipment knowledge engineering intelligent state sensing intelligent variationadaptation intelligent knowledge learning intelligent control decision

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Challenges to Engineering Management in the Big Data Era

Yong Shi

Frontiers of Engineering Management 2015, Volume 2, Issue 3, Pages 293-303 doi: 10.15302/J-FEM-2015042

Abstract: First, it outlines the definitions of big data, data science and intelligent knowledge and the historyand non-structured data into “structured format” and explores the relationship of data heterogeneity, knowledge

Keywords： big data data science intelligent knowledge engineering management real-life applications

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An Intelligent Expert System on Rough Sets

Zeng Huanglin

Strategic Study of Chinese Academy of Engineering 2001, Volume 3, Issue 2, Pages 47-51

Abstract:

The basic topology, knowledge representation and inductive learning of an intelligent expert systemBased on the indiscernibility relation of system knowledge expression, a compatible algorithm is proposedto simplify the knowledge expressions and to induce the system decision rules.In order to extract the significant attributes from elementary knowledge and to reduce the dimensionssystem representation, inductive learning is also introduced by means of reasoning the dependency of knowledge

Keywords： rough sets intelligent expert system indiscernibility relation knowledge expression simplification decision

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A Research Review on the Key Technologies of Intelligent Design for Customized Products

Shuyou Zhang, Jinghua Xu, Huawei Gou, Jianrong Tan

Engineering 2017, Volume 3, Issue 5, Pages 631-640 doi: 10.1016/J.ENG.2017.04.005

Abstract: The key technologies of intelligent design for customized products include: a description and analysisconfiguration and modular design for customized products, variant design for customized products, and a knowledgepush for product intelligent design.The development trends in intelligent design for customized products include big-data-driven intelligent

Keywords： Customized products Customer requirements Variant design Intelligent design Knowledge push

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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 Chinese Academy of Engineering 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 mechanism of intelligence formation based on the activation of knowledge.of information and knowledge, leading to the growth of the research in the field of intelligent machines

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

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Visual knowledge guided intelligent generation of Chinese seal carving Research Article

Kejun ZHANG, Rui ZHANG, Yehang YIN, Yifei LI, Wenqi WU, Lingyun SUN, Fei WU, Huanghuang DENG, Yunhe PAN

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 10, Pages 1479-1493 doi: 10.1631/FITEE.2100094

Abstract: We develop an intelligent art-generation system (Zhejiang University Intelligent System, http://www.next.zju.edu.cnsystem is http://www.next.zju.edu.cn/seal/search_app/) to deal with the difficulty in using a visual knowledgeThe knowledge base in this study is the Qiushi Database, which consists of open datasets of images ofWe propose a seal character generation method based on visual knowledge, guided by the database and expertiseto achieve an intelligent structure.

Keywords： Seal-carving Intelligent generation Deep learning Parametric modeling Computational art

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The application and deepening of knowledge management system

Li Hua

Strategic Study of Chinese Academy of Engineering 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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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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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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Development and Prospect of Big Data Knowledge Engineering

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

Strategic Study of Chinese Academy of Engineering 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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Risk aspects of knowledge management

David OLSON

Frontiers of Engineering Management 2020, Volume 7, Issue 2, Pages 301-303 doi: 10.1007/s42524-019-0087-3

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Establishing a New Discipline ： Knowledge Systems Engineering

Wang Zhongtuo

Strategic Study of Chinese Academy of Engineering 2006, Volume 8, Issue 12, Pages 1-9

Abstract:

In this paper, the establishment of a new discipline, knowledge systems engineering, and the missionThe architectures of the knowledge systems are suggested and the working processes are analyzed.Some new concepts about the creation of new knowledge are put forward.

Keywords： knowledge management systems engineering knowledge systems engineering innovation knowledge integration