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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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A Data and Knowledge Collaboration Strategy for Decision-Making on the Amount of Aluminum Fluoride Addition Article

Weichao Yue、 Weihua Gui、 Xiaofang Chen、 Zhaohui Zeng、 Yongfang Xie

Engineering 2019, Volume 5, Issue 6, Pages 1060-1076 doi: 10.1016/j.eng.2019.10.005

Abstract: Making the decision on the amount of AlF₃ addition (referred to in this work as MDAAA) isa complex and knowledge-based task that must take into consideration a variety of interrelated functionscomplexity of the aluminum reduction cell, it is difficult to guarantee the accuracy of MDAAA based on knowledge-drivenIn this work, a data and knowledge collaboration strategy for MDAAA based on augmented fuzzy cognitive

Keywords： AlF ₃ addition Fuzzy cognitive maps Learning algorithms State transition algorithm Fuzzy decision trees

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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 novel approach to preparing ultra-lightweight ceramsite with a large amount of fly ash

Sen Liu, Congren Yang, Wei Liu, Longsheng Yi, Wenqing Qin

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 4, doi: 10.1007/s11783-020-1241-1

Abstract: •Ultra-lightweight ceramsite is prepared with 80% fly ash. •SiO2, Al2O3, and flux contents significantly influence the performance of ceramsite. •The expansion of ceramsite is caused by the formation of a dense glaze and gas. •The bulk density of ultra-lightweight ceramsite is only 340 kg/m3. The disposal of fly ash has become a serious problem in China due to its rapid increase in volume in recent years. The most common method of fly ash disposal is solidification-stabilization-landfill, and the most common reuse is low-value-added building materials. A novel processing method for preparing ultra-lightweight ceramsite with fly ash was developed. The results show that the optimal parameters for preparation of ultra-lightweight ceramsite are as follows: mass ratio of fly ash:kaolin:diatomite= 80:15:5, preheating temperature of 800°C, preheating time of 5 min, sintering temperature of 1220°C, and sintering time of 10 min. The expansion agent is perlite, at 10 wt.% addition. Finally, a ceramsite with bulk density of 340 kg/m3, particle density of 0.68 g/cm3, and cylinder compressive strength of 1.02 MPa was obtained. Because of its low density and high porosity, ultra-lightweight ceramsite has excellent thermal insulation performance, and its strength is generally low, so it is usually used in the production of thermal insulation concrete and its products. The formation of a liquid-phase component on the surface, and generation of a gas phase inside ceramsite during the sintering process, make it possible to control the production of the suitable liquid phase and gas in this system, resulting in an optimization of the expansion behavior and microstructure of ceramsite. These characteristics show the feasibility of industrial applications of fly ash for the production of ultra-lightweight ceramsite, which could not only produce economic benefits, but also conserve land resources and protect the environment.

Keywords： Fly ash Ultra-lightweight ceramsite Expansion mechanism Sintering process

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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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Optimizing environmental insulation thickness of buildings with CHP-based district heating system based on amount

Yumei ZHANG, Pengfei JIE, Chunhua LIU, Jing LI

Frontiers in Energy 2022, Volume 16, Issue 4, Pages 613-628 doi: 10.1007/s11708-020-0700-5

Abstract: thickness (OEIT) for minimizing the annual total environmental impact was established based on the amount

Keywords： optimum environmental insulation thickness heat medium temperature energy grade extracted heat exhaust heat

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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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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 CAE 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

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Protecting traditional knowledge of Chinese medicine: concepts and proposals

Changhua Liu, Man Gu

Frontiers of Medicine 2011, Volume 5, Issue 2, Pages 212-218 doi: 10.1007/s11684-011-0142-x

Abstract: With the development of the knowledge economy, knowledge has become one of the most important resourcesSome countries have proposed measures for the protection of their own traditional knowledge.Today the value of traditional knowledge of Chinese medicine has been widely recognized by the domesticThis paper discusses the definition of traditional knowledge of Chinese medicine and its protection,Here we use it to emphasize the fact that protection of traditional knowledge of Chinese medicine cannot

Keywords： protection of traditional knowledge traditional Chinese medicine intellectual property sui generis

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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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Research on the Structure Model and Mining Algorithm for Knowledge Discovery Based on Knowledge Base

Yang Bingru,Shen Jiangtao,Chen Hongjie

Strategic Study of CAE 2003, Volume 5, Issue 6, Pages 49-54

Abstract:

Knowledge discovery in knowledge base (KDK) is a brand-new task.Its success will directly act on the construction of large knowledge base, and, at present, it is importantto the solving of the bottleneck of machine study—discovering knowledge.The main work of this paper is： The inductive structure of KDK based on the facts in knowledge base,algorithm and experimental verification; The inductive structure algorithm of KDK for the rules in knowledge

Keywords： knowledge discovery based on knowledge base induction logic of Carnap induction logic of L. J.