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New technology foresight method based on intelligent knowledge management

Lingling ZHANG, Siting HUANG

《工程管理前沿（英文）》 2020年第7卷第2期页码 238-247 doi: 10.1007/s42524-019-0062-z

摘要： The increasing importance of technology foresight has simultaneously raised the significance of methods that determine crucial areas and technologies. However, qualitative and quantitative methods have shortcomings. The former involve high costs and many limitations, while the latter lack expert experience. Intelligent knowledge management emphasizes human–machine integration, which combines the advantages of expert experience and data mining. Thus, we proposed a new technology foresight method based on intelligent knowledge management. This method constructs a technological online platform to increase the number of participating experts. A secondary mining is performed on the results of patent analysis and bibliometrics. Thus, forward-looking, innovative, and disruptive areas and relevant experts must be discovered through the following comprehensive process: Topic acquisition → topic delivery → topic monitoring → topic guidance → topic reclamation → topic sorting → topic evolution → topic conforming → expert recommendation.

关键词： technology foresight intelligent knowledge management technological online platform

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新一代人工智能引领下的智能产品与装备

谭建荣,刘振宇,徐敬华

《中国工程科学》 2018年第20卷第4期页码 35-43 doi: 10.15302/J-SSCAE-2018.04.007

摘要：

智能产品与装备是智能制造和服务的价值载体、技术前提和物质基础。智能产品与装备的内涵体现在两个辩证的方面：一是智能技术的产品化，主要体现在物联网、大数据、云计算、边缘计算、机器学习、深度学习、安全监控、自动化控制、计算机技术、精密传感技术、GPS定位技术等的综合应用；二是传统产品的智能化，借势新一代人工智能，赋予传统产品以更高智慧，在智能制造装备、智能生产、智能管理等方面注入强劲生命力和发展动能。在广泛科学调研和已有研究基础上，结合《中国制造2025》的十大重点领域及《人工智能三年行动计划》等宏观政策，拟定了智能产品与装备的十二大装备领域。研究表明，新一代智能产品与装备以知识工程为核心，以自感应、自适应、自学习和自决策为显著特征。未来将重点发展该领域的十大关键技术。

关键词：智能产品与装备知识工程智能状态感应智能变异适应智能知识学习智能控制决策

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Challenges to Engineering Management in the Big Data Era

Yong Shi

《工程管理前沿（英文）》 2015年第2卷第3期页码 293-303 doi: 10.15302/J-FEM-2015042

摘要： This paper presents a review of the challenges to engineering management in the Big Data Era as well as the Big Data applications. First, it outlines the definitions of big data, data science and intelligent knowledge and the history of big data. Second, the paper reviews the academic activities about big data in China. Then, it elaborates a number of challenging big data problems, including transforming semi-structured and non-structured data into “structured format” and explores the relationship of data heterogeneity, knowledge heterogeneity and decision heterogeneity. Furthermore, the paper reports various real-life applications of big data, such as financial and petroleum engineering and internet business.

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

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Low-Cost Federated Broad Learning for Privacy-Preserved Knowledge Sharing in the RIS-Aided Internet of

Xiaoming Yuan,Jiahui Chen,Ning Zhang,Qiang Ye,Changle Li,Chunsheng Zhu,Xuemin Sherman Shen,

《工程（英文）》 doi: 10.1016/j.eng.2023.04.015

摘要： High-efficiency and low-cost knowledge sharing can improve the decision-making ability of autonomous vehicles by mining knowledge from the Internet of Vehicles (IoVs). However, it is challenging to ensure high efficiency of local data learning models while preventing privacy leakage in a high mobility environment. In order to protect data privacy and improve data learning efficiency in knowledge sharing, we propose an asynchronous federated broad learning (FBL) framework that integrates broad learning (BL) into federated learning (FL). In FBL, we design a broad fully connected model (BFCM) as a local model for training client data. To enhance the wireless channel quality for knowledge sharing and reduce the communication and computation cost of participating clients, we construct a joint resource allocation and reconfigurable intelligent surface (RIS) configuration optimization framework for FBL. The problem is decoupled into two convex subproblems. Aiming to improve the resource scheduling efficiency in FBL, a double Davidon–Fletcher–Powell (DDFP) algorithm is presented to solve the time slot allocation and RIS configuration problem. Based on the results of resource scheduling, we design a reward-allocation algorithm based on federated incentive learning (FIL) in FBL to compensate clients for their costs. The simulation results show that the proposed FBL framework achieves better performance than the comparison models in terms of efficiency, accuracy, and cost for knowledge sharing in the IoV.

关键词： Knowledge sharing Internet of Vehicles Federated learning Broad learning Reconfigurable intelligent surfaces Resource allocation

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基于粗集方法的智能专家系统

曾黄麟

《中国工程科学》 2001年第3卷第2期页码 47-51

摘要：

文章主要介绍基于粗集方法的智能专家系统的基本构成、知识表达方式及学习推理方法。提出了利用不可分辨性或根据算法相容性进行知识简化，导出决策规则的方法，通过研究导师的知识与学习者的知识之间的依赖程度，找出每一概念的有用特征，进行知识简化和系统简化，导出决策规则的学习推理方法。

关键词：粗集方法智能专家系统不可分辨性知识简化决策规则

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定制化产品智能设计关键技术研究综述

张树有, 徐敬华, 苟华伟, 谭建荣

《工程（英文）》 2017年第3卷第5期页码 631-640 doi: 10.1016/J.ENG.2017.04.005

摘要：

大数据和信息物理系统(CPS)等技术的发展使人们对产品设计的需求增加。产品数字设计包括使用先进的数字技术完成产品设计过程，如几何建模、运动学和动态仿真、多学科耦合、虚拟装配、虚拟现实(VR)、多目标优化(MOO)以及人机交互。定制产品智能设计的关键技术包括：客户需求的描述与分析、客户基础的产品族设计(PFD)、定制产品的配置和模块化设计、定制产品的变型设计，以及产品智能设计的知识推送。定制产品智能设计的发展趋势包括定制产品的大数据驱动智能设计技术和定制的设计工具和应用。通过计算机的高精度数控机床设计，我们验证了该方法的有效性。

关键词：定制化产品用户需求变形设计智能设计知识推送

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Standard model of knowledge representation

Wensheng YIN

《机械工程前沿（英文）》 2016年第11卷第3期页码 275-288 doi: 10.1007/s11465-016-0372-3

摘要：

Knowledge representation is the core of artificial intelligence research. Knowledge representation methods include predicate logic, semantic network, computer programming language, database, mathematical model, graphics language, natural language, etc. To establish the intrinsic link between various knowledge representation methods, a unified knowledge representation model is necessary. According to ontology, system theory, and control theory, a standard model of knowledge representation that reflects the change of the objective world is proposed. The model is composed of input, processing, and output. This knowledge representation method is not a contradiction to the traditional knowledge representation method. It can express knowledge in terms of multivariate and multidimensional. It can also express process knowledge, and at the same time, it has a strong ability to solve problems. In addition, the standard model of knowledge representation provides a way to solve problems of non-precision and inconsistent knowledge.

关键词： knowledge representation standard model ontology system theory control theory multidimensional representation

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知识论框架通向信息-知识-智能统一的理论

钟义信

《中国工程科学》 2000年第2卷第9期页码 50-64

摘要：

知识是人类所创造的宝贵财富，但至今没有形成系统的知识理论。文章旨在提出和建立知识论的框架体系，包括它的基础和主体两部分。基础部分主要给出知识的概念、定义、表示、度量、推理和决策规则；主体部分的核心是阐明由信息提炼知识（知识生成）以及由知识形成智能（知识激活）的机理。知识论的建立将为信息论-知识论-智能论的统一理论奠定坚实的基础，促进人们在更高的水平上利用信息和知识，研究、设计和应用各种智能机器，推动经济和社会的发展。

关键词：知识知识量知识生成知识激活信息-知识-智能的统一理论

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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

《工程管理前沿（英文）》 2016年第3卷第2期页码 136-143 doi: 10.15302/J-FEM-2016030

摘要： In this paper, an application mode and method of knowledge management in remanufacturing engineering management is established based on Nonaka’s SECI model. The relationships between knowledge transfer, knowledge sharing and remanufacturing engineering management are highlighted. It is noticeable that a great deal of knowledge transfer and sharing activities, which can improve the performance of remanufacturing engineering management constantly, are involved in remanufacturing engineering.

关键词： remanufacturing engineering management knowledge transfer and sharing knowledge management

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视觉知识引导的中国篆刻智能化生成 Research Article

张克俊1,2,张瑞1,殷叶航1,李一非3,伍文棋1,孙凌云1,2,吴飞1,邓晃煌1,潘云鹤1

《信息与电子工程前沿（英文）》 2022年第23卷第10期页码 1479-1493 doi: 10.1631/FITEE.2100094

摘要：

本文将传统篆刻艺术中的资源协同、设计创作、视觉呈现等过程以数字化方式再现，研制了篆刻艺术智能化创作的系统和平台（浙江大学智能篆刻系统：http://www. next.zju.edu.cn/seal/；篆刻搜索排版系统：http://www.next.zju.edu.cn/seal/search_app/），以视觉知识为引导突破计算机艺术学面临的难点问题。本文构建了包含字和印的求是篆刻数据库，并以此为视觉知识库，构建了篆字智能生成算法。此外，为创建印章布局，提出一种篆字变形算法调整印章字符，并结合视觉知识实现智能篆字布局，以实现智能结构。实验结果表明本文所提方法和系统可有效解决篆刻艺术生成中的难点问题，为篆刻艺术的守正与创新提供理论与应用借鉴。

关键词：篆刻；智能生成；深度学习；参数化模型；计算机艺术

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

《环境科学与工程前沿（英文）》 2022年第16卷第6期 doi: 10.1007/s11783-021-1507-2

摘要：

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

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

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知识管理系统的运用与深化

李华

《中国工程科学》 2011年第13卷第8期页码 87-93

摘要：

在知识经济时代，企业已经开始认识到最宝贵的资产是知识，知识不但是生产的关键要素，而且还是企业保持持续竞争优势的重要手段。企业知识管理系统的有效实施，要在正确的思想指导下，建立适于知识共享的组织结构和企业文化，在理解和实施知识管理时必须坚持积累、信任、共享、交流、学习五项原则。知识管理的目标是实现组织总体发展战略，因此知识共享的过程也必须以实现组织战略目标为前提，重视对共享知识的甄选，建立知识共享平台和存储管理单元，引导知识交流，实施奖励政策。

关键词：知识管理知识共享知识论坛

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大数据知识工程发展现状及展望

郑庆华,刘欢,龚铁梁,张玲玲,刘均

《中国工程科学》 2023年第25卷第2期页码 208-220 doi: 10.15302/J-SSCAE-2023.02.018

摘要：

大数据知识工程是人工智能的“基础设施”、诸多行业和领域面临的共性需求、信息化迈向智能化的必由之路。本文阐述了大数据知识工程产生的背景与概念内涵，提出了“数据知识化、知识体系化、知识可推理”的研究框架；梳理了知识获取与融合、知识表征、知识推理等大数据知识工程关键技术和智慧教育、税务风险管控、智慧医疗等典型场景中的工程应用；总结了大数据知识工程面临的挑战，研判了大数据知识工程的未来研究方向，包括复杂大数据知识获取、知识+数据混合学习、脑启发知识编码记忆等。研究建议，引导多学科交叉融合，设立重大和重点研发专项，推动大数据知识工程基础理论与技术攻关；加强企业和研究机构间交流合作，推广前沿研究成果并形成应用示范，建立大数据知识工程行业标准体系；以重大需求应用为导向，探索校企协同育人模式，加快大数据知识工程技术在重要行业的落地应用。

关键词：大数据知识工程知识获取知识融合知识表征知识推理

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

《工程管理前沿（英文）》 2022年第9卷第2期页码 221-238 doi: 10.1007/s42524-022-0195-3

摘要： A project is a specific effort to create a unique product, so it is a favorable place for knowledge creation and development. Knowledge can be transferred inside and outside projects and their parent project-based organizations, thus affecting project performance and organizational competitiveness. However, the current research on the elements and outcomes of knowledge transfer (KT) in the project environment lacks completeness and clarity, and that on the different levels of KT is fragmented. This study aims to conduct comprehensive research to determine and link the elements and outcomes of KT in the project environment. The authors systematically analyzed the relevant literature from 2000 to 2021, which showed an increasing publication trend. They divided KT in the project environment into three levels according to the transfer scenario: Intra-project, cross-project, and cross-organizational KT. Five-dimensional transfer elements and two-dimensional transfer outcomes were then identified and analyzed from previous literature. Lastly, the relationships between the transfer elements and outcomes were gathered to create a comprehensive model. Importantly, the knowledge gap in the current literature was highlighted, and future research directions were put forward. This study builds a theoretical framework linking transfer elements to outcomes that can serve as a basis for scholars and practitioners to develop effective strategies for KT in the project environment.

关键词： knowledge transfer knowledge management project management project environment literature review