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A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0673-7

Abstract: Convolutional neural network (CNN) has achieved remarkable applications in fault diagnosis.First, a new deep reinforcement learning (DRL) is developed, and it constructs an agent aiming at controllingSecond, a new structure of DRL is designed by combining deep deterministic policy gradient and long short-termThird, a new training method for ACNN is designed to enhance its stability.

Keywords： deep reinforcement learning     hyper parameter optimization     convolutional neural network     fault diagnosis    

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Development Strategies for New Network Industry

Wang Shuo, Wu Peng, Lu Hua, Huang Tao, Zhang Jidong, Liu Yunjie

Strategic Study of CAE 2021, Volume 23, Issue 2,   Pages 8-14 doi: 10.15302/J-SSCAE-2021.02.002

Abstract:

As an innovation-led, cross-disciplinary frontier field, the new networkThis study examines the development demand for new network technologies and elaborates on solutions forWe conclude the development ideas of China’s new network industry and study the key developmentresearch are urgently needed for China’s new network industry.The key technology directions for this industry includes new network architecture and basic theory, ultra-low

Keywords： new network     consumer network     production Internet     space–ground integrated network     value analysis    

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Innovative Development Strategy of New Network Technologies

Li Dan, Hu Yuxiang, Wu Jiangxing

Strategic Study of CAE 2021, Volume 23, Issue 2,   Pages 15-21 doi: 10.15302/J-SSCAE-2021.02.003

Abstract: New network architectures and key technologies have become the core of a new round of technological revolutionTherefore, studying the strategic conception and development paths of new network technology innovationstatus of new network fields in China and abroad, and summarize the development trend of new networkSubsequently, we summarize the gaps and development goals of China in the new network field.Finally we propose the key technologies for the new network development in China, including new network

Keywords： new network architecture，full-dimension definable，polymorphic addressing and routing，network intelligence    

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biloba extract and Ginkgolide B against oxygen–glucose deprivation/reoxygenation and glucose injury in a newin vitro multicellular network model

Xiaohan Yang, Tiezheng Zheng, Hao Hong, Nan Cai, Xiaofeng Zhou, Changkai Sun, Liying Wu, Shuhong Liu, Yongqi Zhao, Lingling Zhu, Ming Fan, Xuezhong Zhou, Fengxie Jin

Frontiers of Medicine 2018, Volume 12, Issue 3,   Pages 307-318 doi: 10.1007/s11684-017-0547-2

Abstract: Using a novel rat cortical capillary endothelial cell-astrocyte-neuron network model, we investigated

Keywords： acute ischemic stroke     Ginkgo bilobaextract     Ginkgolide B     network model     neuroprotection    

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A new technique for islanding operation of distribution network connected with mini hydro

J. A. LAGHARI,H. MOKHLIS,M. KARIMI,A. H. A. BAKAR,Hasmaini MOHAMAD

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 5,   Pages 418-427 doi: 10.1631/FITEE.1400309

Abstract: An islanding operation of a distribution network is a topic of interest due to the significant penetrationof distributed generation (DG) in a power system network.This paper presents a new technique for a successful islanding operation of a distribution network connectedThe proposed technique is validated on an 11 kV existing Malaysia distribution network.

Keywords： Islanding operation     Mini hydro     Distributed generation (DG)     Islanding detection     Load shedding    

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Networking Automation and Intelligence: A New Era of Network Innovation

Hongke Zhang, Wei Quan

Engineering 2022, Volume 17, Issue 10,   Pages 13-16 doi: 10.1016/j.eng.2021.06.019

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Discussion on a new paradigm of endogenous security towards 6G networks Review

Xinsheng JI, Jiangxing WU, Liang JIN, Kaizhi HUANG, Yajun CHEN, Xiaoli SUN, Wei YOU, Shumin HUO, Jing YANG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 10,   Pages 1421-1450 doi: 10.1631/FITEE.2200060

Abstract: communication (6G) networks will face more complex endogenous security problems, and it is urgent to propose newuniversal security theories and establish new practice norms to deal with the "unknown unknown&This paper first expounds the new paradigm of cyberspace endogenous security and introduces the vision

Keywords： 6G security     New paradigm of endogenous security     Core network     Wireless access network    

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Overlap maximum matching ratio (OMMR): a new measure to evaluate overlaps of essential modules

Xiao-xia ZHANG,Qiang-hua XIAO,Bin LI,Sai HU,Hui-jun XIONG,Bi-hai ZHAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 4,   Pages 293-300 doi: 10.1631/FITEE.1400282

Abstract: Protein complexes are the basic units of macro-molecular organizations and help us to understand the cell’s mechanism. The development of the yeast two-hybrid, tandem affinity purification, and mass spectrometry high-throughput proteomic techniques supplies a large amount of protein-protein interaction data, which make it possible to predict overlapping complexes through computational methods. Research shows that overlapping complexes can contribute to identifying essential proteins, which are necessary for the organism to survive and reproduce, and for life’s activities. Scholars pay more attention to the evaluation of protein complexes. However, few of them focus on predicted overlaps. In this paper, an evaluation criterion called overlap maximum matching ratio (OMMR) is proposed to analyze the similarity between the identified overlaps and the benchmark overlap modules. Comparison of essential proteins and gene ontology (GO) analysis are also used to assess the quality of overlaps. We perform a comprehensive comparison of serveral overlapping complexes prediction approaches, using three yeast protein-protein interaction (PPI) networks. We focus on the analysis of overlaps identified by these algorithms. Experimental results indicate the important of overlaps and reveal the relationship between overlaps and identification of essential proteins.

Keywords： Protein-protein interaction network     Essential protein modules     Overlap     Overlap maximum matching ratio    

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Construction, Techniques and Application of New Generation Doppler Weather Radar Network in China

Xu Xiaofeng

Strategic Study of CAE 2003, Volume 5, Issue 6,   Pages 7-14

Abstract:

New generation Doppler weather radar (NEXTRAD) has become one of the most important tools for monitoringChina's NEXTRAD network has been constructed since 1998, and the project is supported by nationalapplication in China, some problems that should be carefully considered in construction and several new

Keywords： Doppler weather radar     technical analysis     construction     application     future development    

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A new item-based deep network structure using a restricted Boltzmann machine for collaborative filtering Article

Yong-ping DU, Chang-qing YAO, Shu-hua HUO, Jing-xuan LIU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 5,   Pages 658-666 doi: 10.1631/FITEE.1601732

Abstract: We propose a new item-based restricted Boltzmann machine (RBM) approach for CF and use the deep multilayerRBM network structure, which alleviates the data sparsity problem and has excellent ability to extractThe parameters are learned layer by layer in the deep network.The new feature vector discovered by the multilayer RBM network structure is very effective in predicting

Keywords： Restricted Boltzmann machine     Deep network structure     Collaborative filtering     Recommendation system    

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Wasserstein GAN-Based Small-Sample Augmentation for New-Generation Artificial Intelligence: A Case Study Article

Yufei Liu, Yuan Zhou, Xin Liu, Fang Dong, Chang Wang, Zihong Wang

Engineering 2019, Volume 5, Issue 1,   Pages 156-163 doi: 10.1016/j.eng.2018.11.018

Abstract: It is essential to utilize deep-learning algorithms based on big data for the implementation of the newIn this paper, we propose an approach based on a generative adversarial network (GAN) combined with adeep neural network (DNN).The use of this approach will contribute to an expansion of application scenarios for the new generationThis research is also expected to contribute to the comprehensive promotion of new-generation artificial

Keywords： Artificial intelligence     Generative adversarial network     Deep neural network     Small sample size     Cancer    

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The Future of Manufacturing: A New Perspective Perspective

Ben Wang

Engineering 2018, Volume 4, Issue 5,   Pages 722-728 doi: 10.1016/j.eng.2018.07.020

Abstract: essential topics, such as hybrid systems, redefining advanced manufacturing, basic building blocks of newthe future will be, if we wish to: ① raise public awareness of new

Keywords： Industry 4.0     Intelligent manufacturing     Internet of Things     Manufacturing innovation institutes     National Network    

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New Challenges, New Opportunities and New Measures for Oil and Gas Cooperation in the Belt and Road

Yu-pu Wang,He Liu

Frontiers of Engineering Management 2016, Volume 3, Issue 4,   Pages 301-313 doi: 10.15302/J-FEM-2016055

Abstract: gas supply security, investment environment, regional win-win situation in oil and gas cooperation, new

Keywords： the Belt and Road     oil & gas cooperation     new challenges     new opportunities     new measures    

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Novel interpretable mechanism of neural networks based on network decoupling method

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 572-581 doi: 10.1007/s42524-021-0169-x

Abstract: The lack of interpretability of the neural network algorithm has become the bottleneck of its wide applicationResult shows that a simple linear mapping relationship exists between network structure and network behaviorin the neural network with high-dimensional and nonlinear characteristics.Our new interpretation mechanism provides not only the potential mathematical calculation principle of, which can further expand and enrich the interpretable mechanism of artificial neural network in the

Keywords： neural networks     interpretability     dynamical behavior     network decouple    

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A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0736-9

Abstract: Recently, advanced sensing techniques ensure a large number of multivariate sensing data for intelligent fault diagnosis of machines. Given the advantage of obtaining accurate diagnosis results, multi-sensor fusion has long been studied in the fault diagnosis field. However, existing studies suffer from two weaknesses. First, the relations of multiple sensors are either neglected or calculated only to improve the diagnostic accuracy of fault types. Second, the localization for multi-source faults is seldom investigated, although locating the anomaly variable over multivariate sensing data for certain types of faults is desirable. This article attempts to overcome the above weaknesses by proposing a global method to recognize fault types and localize fault sources with the help of multi-sensor relations (MSRs). First, an MSR model is developed to learn MSRs automatically and further obtain fault recognition results. Second, centrality measures are employed to analyze the MSR graphs learned by the MSR model, and fault sources are therefore determined. The proposed method is demonstrated by experiments on an induction motor and a centrifugal pump. Results show the proposed method’s validity in diagnosing fault types and sources.

Keywords： fault recognition     fault localization     multi-sensor relations     network analysis     graph neural network    

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Title Author Date Type Operation

A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Journal Article

Development Strategies for New Network Industry

Wang Shuo, Wu Peng, Lu Hua, Huang Tao, Zhang Jidong, Liu Yunjie

Journal Article

Innovative Development Strategy of New Network Technologies

Li Dan, Hu Yuxiang, Wu Jiangxing

Journal Article

biloba extract and Ginkgolide B against oxygen–glucose deprivation/reoxygenation and glucose injury in a newin vitro multicellular network model

Xiaohan Yang, Tiezheng Zheng, Hao Hong, Nan Cai, Xiaofeng Zhou, Changkai Sun, Liying Wu, Shuhong Liu, Yongqi Zhao, Lingling Zhu, Ming Fan, Xuezhong Zhou, Fengxie Jin

Journal Article

A new technique for islanding operation of distribution network connected with mini hydro

J. A. LAGHARI,H. MOKHLIS,M. KARIMI,A. H. A. BAKAR,Hasmaini MOHAMAD

Journal Article

Networking Automation and Intelligence: A New Era of Network Innovation

Hongke Zhang, Wei Quan

Journal Article

Discussion on a new paradigm of endogenous security towards 6G networks

Xinsheng JI, Jiangxing WU, Liang JIN, Kaizhi HUANG, Yajun CHEN, Xiaoli SUN, Wei YOU, Shumin HUO, Jing YANG

Journal Article

Overlap maximum matching ratio (OMMR): a new measure to evaluate overlaps of essential modules

Xiao-xia ZHANG,Qiang-hua XIAO,Bin LI,Sai HU,Hui-jun XIONG,Bi-hai ZHAO

Journal Article

Construction, Techniques and Application of New Generation Doppler Weather Radar Network in China

Xu Xiaofeng

Journal Article

A new item-based deep network structure using a restricted Boltzmann machine for collaborative filtering

Yong-ping DU, Chang-qing YAO, Shu-hua HUO, Jing-xuan LIU

Journal Article

Wasserstein GAN-Based Small-Sample Augmentation for New-Generation Artificial Intelligence: A Case Study

Yufei Liu, Yuan Zhou, Xin Liu, Fang Dong, Chang Wang, Zihong Wang

Journal Article

The Future of Manufacturing: A New Perspective

Ben Wang

Journal Article

New Challenges, New Opportunities and New Measures for Oil and Gas Cooperation in the Belt and Road

Yu-pu Wang,He Liu

Journal Article

Novel interpretable mechanism of neural networks based on network decoupling method

Journal Article

A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Journal Article