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Intelligent Products and Equipment Led by New-Generation Artificial Intelligence

Tan Jianrong, Liu Zhenyu, Xu Jinghua

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

Abstract: comprehensive application of the Internet of Things, big data, cloud computing, edge computing, machine learning, deep learning, security monitoring, automation control, computer technology, precision sensing technologymanufacturing equipment, intelligent production, and intelligent management.Researches show that the new-generation intelligent products and equipment focuses on knowledge engineeringand is prominently characterized by self-sensing, self-adaptation, self-learning, and self-decision-making

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

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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,

Engineering doi: 10.1016/j.eng.2023.04.015

Abstract: vehicles by mining knowledge from the Internet of Vehicles (IoVs).In order to protect data privacy and improve data learning efficiency in knowledge sharing, we proposean asynchronous federated broad learning (FBL) framework that integrates broad learning (BL) into federatedlearning (FL).cost of participating clients, we construct a joint resource allocation and reconfigurable intelligent

Keywords： Knowledge sharing     Internet of Vehicles     Federated learning     Broad learning     Reconfigurable intelligent surfaces    

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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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INTERACTIVE KNOWLEDGE LEARNING BY ARTIFICIAL INTELLIGENCE FOR SMALLHOLDERS

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 4,   Pages 648-653 doi: 10.15302/J-FASE-2023505

Abstract: In the past, both the direct learning approach and the personnel extension system for improving fertilizationTherefore, this article proposes an interactive knowledge learning approach using artificial intelligenceThe second part is an intelligent decision system, which categorizes the information provided by farmersThe interactive knowledge learning approach aims to identify and rectify incorrect practices in the knowledge-basedInvestigations show that the interactive knowledge learning approach can make a strong contribution to

Keywords： artificial intelligence     extension system     non-point source pollution control     smallholders     fertilization    

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Machine learning in building energy management: A critical review and future directions

Frontiers of Engineering Management 2022, Volume 9, Issue 2,   Pages 239-256 doi: 10.1007/s42524-021-0181-1

Abstract: Over the past two decades, machine learning (ML) has elicited increasing attention in building energy

Keywords： building energy management     machine learning     integrated framework     knowledge evolution    

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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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Multi-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samples

Xin ZHANG, Tao HUANG, Bo WU, Youmin HU, Shuai HUANG, Quan ZHOU, Xi ZHANG

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 340-352 doi: 10.1007/s11465-021-0629-3

Abstract: Deep learning has achieved much success in mechanical intelligent fault diagnosis in recent years.However, many deep learning methods cannot fully extract fault information to recognize mechanical healthTherefore, a multi-model ensemble deep learning method based on deep convolutional neural network (DCNNseveral 1D DCNN models with different activation functions are trained through dimension reduction learningCompared with other classical deep learning methods, the proposed fault diagnosis method has considerable

Keywords： fault intelligent diagnosis     deep learning     deep convolutional neural network     high-dimensional samples    

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Big data and machine learning: A roadmap towards smart plants

Frontiers of Engineering Management   Pages 623-639 doi: 10.1007/s42524-022-0218-0

Abstract: Industry 4.0 aims to transform chemical and biochemical processes into intelligent systems via the integrationdata processing, storage and analysis, advanced process control, artificial intelligence and machine learningExploitation of the information contained in these data requires the use of advanced machine learning

Keywords： big data     machine learning     artificial intelligence     smart sensor     cyber–physical system     Industry 4.0     intelligent system     digitalization    

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Smart systems engineering contributing to an intelligent carbon-neutral future: opportunities, challenges

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 6,   Pages 1023-1029 doi: 10.1007/s11705-022-2142-6

Abstract: engineering (SSE) approaches and their applications in crucial domains including materials discovery, intelligentThe emergence of big data analytics, internet of things, machine learning, and general artificial intelligence

Keywords： machine learning     modeling     material     industrial applications     environment    

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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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Intelligent Petroleum Engineering Perspective

Mohammad Ali Mirza, Mahtab Ghoroori, Zhangxin Chen

Engineering 2022, Volume 18, Issue 11,   Pages 27-32 doi: 10.1016/j.eng.2022.06.009

Abstract: oilfield digitization, there has been an increased drive to integrate data-driven modeling and machine learning

Keywords： Artificial intelligence     Machine learning     Intelligent reservoir engineering     Text mining     Intelligentgeoscience     Intelligent drilling engineering    

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Domain knowledge enhanced deep learning for electrocardiogram arrhythmia classification Research Article

Jie SUN,sunjie@nbut.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 1,   Pages 59-72 doi: 10.1631/FITEE.2100519

Abstract: Deep learning provides an effective way for automatic classification of s, but in , pure data-drivenA promising solution is combining with deep learning.neural network to capture the statistical pattern between input data and the ground-truth label, and a knowledge

Keywords： Domain knowledge     Cardiac arrhythmia     Electrocardiogram (ECG)     Clinical decision-making    

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Joint entity–relation knowledge embedding via cost-sensitive learning Article

Sheng-kang YU, Xue-yi ZHAO, Xi LI, Zhong-fei ZHANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1867-1873 doi: 10.1631/FITEE.1601255

Abstract: ., entity embedding and relation embedding), knowledge embedding problem is solved in a joint embeddingto entities and relations, and further incorporate the scoring function into the maxmargin structure learningexplicitly learns the embedding vectors of entities and relations using the context information of the knowledgecharacterizing the semantic correlations among different relation units, and in relation prediction for knowledge

Keywords： Knowledge embedding     Joint embedding     Cost-sensitive learning    

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An Intelligent Expert System on Rough Sets

Zeng Huanglin

Strategic Study of CAE 2001, Volume 3, Issue 2,   Pages 47-51

Abstract:

The basic topology, knowledge representation and inductive learning of an intelligent expert systemto 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 dimensionsof the system representation, inductive learning is also introduced by means of reasoning the dependencyof knowledge between the teacher and the learner.

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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Title Author Date Type Operation

Intelligent Products and Equipment Led by New-Generation Artificial Intelligence

Tan Jianrong, Liu Zhenyu, Xu Jinghua

Journal Article

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,

Journal Article

New technology foresight method based on intelligent knowledge management

Lingling ZHANG, Siting HUANG

Journal Article

INTERACTIVE KNOWLEDGE LEARNING BY ARTIFICIAL INTELLIGENCE FOR SMALLHOLDERS

Journal Article

Machine learning in building energy management: A critical review and future directions

Journal Article

Visual knowledge guided intelligent generation of Chinese seal carving

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

Journal Article

Multi-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samples

Xin ZHANG, Tao HUANG, Bo WU, Youmin HU, Shuai HUANG, Quan ZHOU, Xi ZHANG

Journal Article

Big data and machine learning: A roadmap towards smart plants

Journal Article

Smart systems engineering contributing to an intelligent carbon-neutral future: opportunities, challenges

Journal Article

Challenges to Engineering Management in the Big Data Era

Yong Shi

Journal Article

Intelligent Petroleum Engineering

Mohammad Ali Mirza, Mahtab Ghoroori, Zhangxin Chen

Journal Article

Domain knowledge enhanced deep learning for electrocardiogram arrhythmia classification

Jie SUN,sunjie@nbut.edu.cn

Journal Article

Joint entity–relation knowledge embedding via cost-sensitive learning

Sheng-kang YU, Xue-yi ZHAO, Xi LI, Zhong-fei ZHANG

Journal Article

An Intelligent Expert System on Rough Sets

Zeng Huanglin

Journal Article

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

Shuyou Zhang, Jinghua Xu, Huawei Gou, Jianrong Tan

Journal Article