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Entity and relation extraction with rule-guided dictionary as domain knowledge

Frontiers of Engineering Management   Pages 610-622 doi: 10.1007/s42524-022-0226-0

Abstract: Entity and relation extraction is an indispensable part of domain knowledge graph construction, whichcan serve relevant knowledge needs in a specific domain, such as providing support for product researchTo address the problems above, this paper first introduced prior knowledge composed of domain dictionaries

Keywords： entity extraction     relation extraction     prior knowledge     domain rule    

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A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis

Weichao Yue, Xiaofang Chen, Weihua Gui, Yongfang Xie, Hongliang Zhang

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 3,   Pages 414-428 doi: 10.1007/s11705-017-1663-x

Abstract: been a challenging industrial issue due to its inherent complexity in analyzing based on multi-source knowledgeRCA of abnormal condition is a complex work of multi-source knowledge fusion, which is difficult to ensureIn view of this, a method based on Fuzzy-Bayesian network to construct multi-source knowledge solidificationThe method can effectively fuse and solidify the knowledge, which is used to analyze the cause of abnormalThe accuracy of the test results is up to 95%, which shows that the knowledge reasoning feasibility for

Keywords： abnormal aluminum electrolysis cell condition     Fuzzy-Bayesian network     multi-source knowledge solidification    

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The prior rules of designing Ti

Yingying Jian, Danyao Qu, Lihao Guo, Yujin Zhu, Chen Su, Huanran Feng, Guangjian Zhang, Jia Zhang, Weiwei Wu, Ming-Shui Yao

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 3,   Pages 505-517 doi: 10.1007/s11705-020-2013-y

Abstract: Working temperature, sensitivity, and selectivity are some of the characteristics of the applied gas sensors. How to design and fabricate an ideal gas sensor working at room temperature is still challenging and attracting lots of interest. Two-dimensional (2D) materials with ultra-thin structure have been demonstrated as a family of ideal candidates to achieve this goal. Among them, Ti C T MXene, a kind of layered sheet synthesized by selectively etching MAX phases materials, shows remarkable potential to be the sensitive materials solely or in a composite. However, their designing rules are still lacking critical thinking from the viewpoint of the intrinsic property of Ti C T MXene based materials. In this article, two critical features, i.e., the thickness of the sensitive materials, and the scope of the analytes, are elaborated towards Ti C T MXene based gas sensors after characterizing the performance of sensing reducing gases (NH and CO) and oxidizing gas (NO ). First, the thinner the Ti C T MXene sensitive layer, the better the sensitivity. Second, the Ti C T MXene based gas sensor is not suitable for strong and moderate oxidation gas due to its ease of oxidation. These two rules are demonstrated, and could be considered with priority both in the future researches and practical applications.

Keywords： MXene based sensor     prior     reducing gases     oxidizing gases    

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Multi-domain Knowledge Convergence Trajectory Analysis of Strategic Emerging Industries Based on CitationNetwork and Text Information

Liu Yufei, Miao Zhongzhen, Li Lingfeng, Kong Dejing

Strategic Study of CAE 2020, Volume 22, Issue 2,   Pages 120-129 doi: 10.15302/J-SSCAE-2020.02.016

Abstract: This study adopts a knowledge convergence trajectory analysis method based on citation network and textIt utilizes a graph neural network model and encodes the citation network, title, and abstract of theFive knowledge convergence trajectories are identified, after analyzing the data of the selected four

Keywords： emerging industries     knowledge convergence     graph neural networks     citation network     topic model    

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A knowledge matching approach based on multi-classification radial basis function neural network forknowledge push system Research Articles

Shu-you Zhang, Ye Gu, Guo-dong Yi, Zi-li Wang,zsy@zju.edu.cn,me_guye@zju.edu.cn,ygd@zju.edu.cn,ziliwang@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 7,   Pages 963-1118 doi: 10.1631/FITEE.1900057

Abstract: The goal of our approach is to meet designers’ knowledge demands with a quick response and quality serviceIn addition, we propose a multi-classification radial basis function neural network that can match theknowledge from the knowledge base once and ensure the accuracy of pushing results.

Keywords： Product design     Knowledge push system     Augmented training set     Multi-classification neural network     Knowledge    

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Adversarial Attacks and Defenses in Deep Learning Feature Article

Kui Ren, Tianhang Zheng, Zhan Qin, Xue Liu

Engineering 2020, Volume 6, Issue 3,   Pages 346-360 doi: 10.1016/j.eng.2019.12.012

Abstract: Successful implementations
of adversarial attacks in real physical-world scenarios further demonstrate

Keywords： Machine learning     Deep neural network Adversarial example     Adversarial attack     Adversarial defense    

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A constrained neural network model for soil liquefaction assessment with global applicability

Yifan ZHANG, Rui WANG, Jian-Min ZHANG, Jianhong ZHANG

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5,   Pages 1066-1082 doi: 10.1007/s11709-020-0651-2

Abstract: A constrained back propagation neural network (C-BPNN) model for standard penetration test based soilliquefaction assessment with global applicability is developed, incorporating existing knowledge forfines content adjustment are shown to be able to improve the prediction success rate of the neural network

Keywords： soil liquefaction assessment     case history dataset     constrained neural network model     existing knowledge    

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Host protection against Omicron BA.2.2 sublineages by prior vaccination in spring 2022 COVID-19 outbreak

Frontiers of Medicine 2023, Volume 17, Issue 3,   Pages 562-575 doi: 10.1007/s11684-022-0977-3

Abstract: pathophysiological features of Omicron BA.2.2 sublineages and demonstrates significant protection conferred by prior

Keywords： SARS-CoV-2     COVID-19     host response     bronchoalveolar lavage fluid (BALF)    

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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.Knowledge representation methods include predicate logic, semantic network, computer programming languageTo establish the intrinsic link between various knowledge representation methods, a unified knowledgeThis knowledge representation method is not a contradiction to the traditional knowledge representationand 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 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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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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The Influence of Priori Knowledge on Soil Moisture Inversion by Using Passive Remote Sensing

Tang Lu,Li Zongqian,Shi Changsheng,Wang Xin

Strategic Study of CAE 2005, Volume 7, Issue 3,   Pages 53-58

Abstract:

It's pointed out by this paper that the priori knowledge of random rough soil surface is neededin soil moisture inversion by using passive remote sensing, so the precision of priori knowledge haskinds of inversion error are defined in this paper to depict the influence of three kinds of priori knowledgeon the inversion, these three kinds of priori knowledge are the type of soil surface height distributionSimulation result shows that it's feasible to invert soil moisture by neural network (NN) based on

Keywords： microwave remote sensing     priori knowledge     emissivity     soil moisture     bi-spectrum model     neural network    

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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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Side-channel attacks and learning-vector quantization Article

Ehsan SAEEDI, Yinan KONG, Md. Selim HOSSAIN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 4,   Pages 511-518 doi: 10.1631/FITEE.1500460

Abstract: Side-channel attacks, by taking advantage of physical vulnerabilities of cryptosystems, aim to gain secretefficiency of side-channel information characterization based on a learning vector quantization (LVQ) neural network

Keywords： Side-channel attacks     Elliptic curve cryptography     Multi-class classification     Learning vector quantization    

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Title Author Date Type Operation

Entity and relation extraction with rule-guided dictionary as domain knowledge

Journal Article

A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis

Weichao Yue, Xiaofang Chen, Weihua Gui, Yongfang Xie, Hongliang Zhang

Journal Article

The prior rules of designing Ti

Yingying Jian, Danyao Qu, Lihao Guo, Yujin Zhu, Chen Su, Huanran Feng, Guangjian Zhang, Jia Zhang, Weiwei Wu, Ming-Shui Yao

Journal Article

Multi-domain Knowledge Convergence Trajectory Analysis of Strategic Emerging Industries Based on CitationNetwork and Text Information

Liu Yufei, Miao Zhongzhen, Li Lingfeng, Kong Dejing

Journal Article

A knowledge matching approach based on multi-classification radial basis function neural network forknowledge push system

Shu-you Zhang, Ye Gu, Guo-dong Yi, Zi-li Wang,zsy@zju.edu.cn,me_guye@zju.edu.cn,ygd@zju.edu.cn,ziliwang@zju.edu.cn

Journal Article

Adversarial Attacks and Defenses in Deep Learning

Kui Ren, Tianhang Zheng, Zhan Qin, Xue Liu

Journal Article

A constrained neural network model for soil liquefaction assessment with global applicability

Yifan ZHANG, Rui WANG, Jian-Min ZHANG, Jianhong ZHANG

Journal Article

Host protection against Omicron BA.2.2 sublineages by prior vaccination in spring 2022 COVID-19 outbreak

Journal Article

Standard model of knowledge representation

Wensheng YIN

Journal Article

A Framework of Knowledge Theory： Toward a Unified Theory of Information, Knowledge and Intelligence

Zhong Yixin

Journal Article

Research on Knowledge Sharing and Transfer in Remanufacturing Engineering Management Based on SECI Model

Ling-ling Zhang,Ming-hui Zhao,Qiao Wang

Journal Article

The Influence of Priori Knowledge on Soil Moisture Inversion by Using Passive Remote Sensing

Tang Lu,Li Zongqian,Shi Changsheng,Wang Xin

Journal Article

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

Journal Article

The application and deepening of knowledge management system

Li Hua

Journal Article

Side-channel attacks and learning-vector quantization

Ehsan SAEEDI, Yinan KONG, Md. Selim HOSSAIN

Journal Article