Search | Engineering

Subscribe Submit

Home Journals Focus Achievement Fronts About Us 中文版

Resource Type

Journal Article 139

Year

2023 14

2022 14

2021 7

2020 14

2019 9

2018 11

2017 6

2016 9

2015 5

2014 1

2013 2

2011 4

2010 4

2009 2

2007 3

2006 6

2005 1

2004 3

2003 4

2002 6

open ︾

Keywords

knowledge 5

knowledge management 5

Federated learning 3

Sparse representation 3

artificial intelligence 3

Deep learning 2

Dictionary learning 2

Knowledge base 2

Knowledge distillation 2

Knowledge push 2

Representation learning 2

big data 2

design 2

design science 2

knowledge acquirement 2

knowledge economy 2

knowledge sharing 2

3D document 1

3D parametric model 1

open ︾

Search scope:

排序： Display mode:

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.Knowledge representation methods include predicate logic, semantic network, computer programming languageTo establish the intrinsic link between various knowledge representation methods, a unified knowledgeAccording to ontology, system theory, and control theory, a standard model of knowledge representationThis knowledge representation method is not a contradiction to the traditional knowledge representation

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

HTML PDF Collect

Uncertainty in Knowledge Representation

Li Deyi

Strategic Study of CAE 2000, Volume 2, Issue 10, Pages 73-79

Abstract:

Knowledge representation in AI has been a bottleneck for years.This methodology has effectively made mapping between quantitative and qualitative knowledge much easier

Keywords： knowledge representation qualitative concept uncertainty cloud model digital characteristics

HTML PDF Collect

Multiple Knowledge Representation of Artificial Intelligence

Yunhe Pan

Engineering 2020, Volume 6, Issue 3, Pages 216-217 doi: 10.1016/j.eng.2019.12.011

HTML PDF Collect

Symbolic representation based on trend features for knowledge discovery in long time series

Hong YIN,Shu-qiang YANG,Xiao-qian ZHU,Shao-dong MA,Lu-min ZHANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 9, Pages 744-758 doi: 10.1631/FITEE.1400376

Abstract: The symbolic representation of time series has attracted much research interest recently.effectively is an essential task for decision-making activities such as classification, prediction, and knowledgeIn this paper, we propose a new symbolic representation method for long time series based on trend featuresA time series is represented by trend symbols, which are also suitable for use in knowledge discoveryonly has better segmentation efficiency and classification accuracy, but also is applicable for use in knowledge

Keywords： Long time series Segmentation Trend features Symbolic Knowledge discovery

HTML PDF Collect

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

HTML PDF Collect

Development of an artificial intelligence diagnostic model based on dynamic uncertain causality graph for the differential diagnosis of dyspnea

Yang Jiao, Zhan Zhang, Ting Zhang, Wen Shi, Yan Zhu, Jie Hu, Qin Zhang

Frontiers of Medicine 2020, Volume 14, Issue 4, Pages 488-497 doi: 10.1007/s11684-020-0762-0

Abstract: intelligence (AI) diagnosis model was constructed according to the dynamic uncertain causality graph knowledge-based

Keywords： knowledge representation uncertain causality graphical model artificial intelligence diagnosis dyspnea

HTML PDF Collect

Multiple knowledge representation for big data artificial intelligence: framework, applications, and Perspective

Yi Yang, Yueting Zhuang, Yunhe Pan,yangyics@zju.edu.cn,yzhuang@zju.edu.cn,panyh@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 12, Pages 1551-1684 doi: 10.1631/FITEE.2100463

Abstract: In this paper, we present a multiple knowledge representation (MKR) framework and discuss its potentialTypically, canonical knowledge representations and modern representations each emphasize a particularMKR is an advanced AI representation framework for more complete intelligent functions, such as raw signalperception, feature extraction and vectorization, knowledge symbolization, and logical reasoning.techniques by integrating MKR to facilitate the mutual benefits of the complementary capacity of each representation

Keywords：多重知识表达；人工智能；大数据

HTML PDF Collect

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.to deal with a series of basic issues such as the related concepts and definitions, the methods of representationthe 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

HTML PDF Collect

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

HTML PDF Collect

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

HTML PDF Collect

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

HTML PDF Collect

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

HTML PDF Collect

Applicability of high dimensional model representation correlations for ignition delay times of n-heptane

Wang LIU, Jiabo ZHANG, Zhen HUANG, Dong HAN

Frontiers in Energy 2019, Volume 13, Issue 2, Pages 367-376 doi: 10.1007/s11708-018-0584-9

Abstract: In this paper, the random sampling-high dimensional model representation (RS-HDMR) methods were employed

Keywords： ignition delay random sampling high dimensional model representation n-heptane fuel kinetics

HTML PDF Collect

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

HTML PDF Collect

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