Search | Engineering

Subscribe Submit

Home Journals Focus Achievement Fronts About Us 中文版

Resource Type

Journal Article 482

Conference Videos 14

Year

2024 1

2023 56

2022 53

2021 54

2020 51

2019 30

2018 28

2017 32

2016 15

2015 21

2014 12

2013 13

2012 12

2011 5

2010 4

2009 8

2008 13

2007 14

2006 9

2005 14

open ︾

Keywords

neural network 32

artificial neural network 21

Neural network 11

network 10

optimization 9

Artificial intelligence 7

convolutional neural network 7

genetic algorithm 7

artificial neural network (ANN) 6

Deep learning 5

BP neural network 4

6G 3

ANN 3

Artificial neural network 3

Bayesian belief network 3

Network security 3

finite element method 3

ANOVA 2

Attention mechanism 2

open ︾

Search scope:

排序： Display mode:

Virtual network embedding based on real-time topological attributes

Jian DING,Tao HUANG,Jiang LIU,Yun-jie LIU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 2, Pages 109-118 doi: 10.1631/FITEE.1400147

Abstract: As a great challenge of network virtualization, virtual network embedding/mapping is increasingly importantIt aims to successfully and efficiently assign the nodes and links of a virtual network (VN) onto a sharedsubstrate network.betweenness centrality in graph theory is borrowed to sort the nodes of VNs, and the nodes of the substrate networkA simulator is built to evaluate the performance of the proposed virtual network embedding (VNE) algorithm

Keywords： Virtual network embedding (VNE) Real-time topological attributes Betweenness centrality Correlationproperties Network virtualization

HTML PDF Collect

A forwarding graph embedding algorithm exploiting regional topology information Article

Hong-chao HU, Fan ZHANG, Yu-xing MAO, Zhen-peng WANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11, Pages 1854-1866 doi: 10.1631/FITEE.1601404

Abstract: Network function virtualization (NFV) is a newly proposed technique designed to construct and managenetwork functions dynamically and efficiently.Allocating physical resources to the virtual network function forwarding graph is a critical issue into increase the revenue and decrease the cost to a service provider (SP) while considering limited network

Keywords： Network function virtualization Virtual network function Forwarding graph embedding

HTML PDF Collect

Towards instant service rebuilding after site corruptions

Zheng Weimin

Strategic Study of CAE 2009, Volume 11, Issue 10, Pages 32-38

Abstract:

The paper describes a new system protection method which is used for disaster recovery. It abandons the traditional data protection based DR(disaster recovery) achieves, replicates the whole system states, including data states together with service running states, and further introduces the method of parallel recovery to restore the interrupted services instantly. Compared with traditional techniques, the method can be independent from specific devices and applications. Different systems can share a unique DR system which is resource-saving.

Keywords： disaster recovery virtualization parallel

HTML PDF Collect

1 Project supported by the National Natural Science Foundation of China (Nos. 61201209 and 61401499), the Natural Science Foundation of Shaanxi Province, China (No. 2015JM6340), and the Industrial Science and Technology Project of Shaanxi Province, China (No. 2016GY-087) Article

Shui-qing GONG,Jing CHEN,Qiao-yan KANG,Qing-wei MENG,Qing-chao ZHU,Si-yi ZHAO

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 7, Pages 701-716 doi: 10.1631/FITEE.1500387

Abstract: Software-defined networking (SDN) enables the network virtualization through SDN hypervisors to sharethe underlying physical SDN network among multiple logically isolated virtual SDN networks (vSDNs),The vSDN embedding, which refers to mapping a number of vSDNs to the same substrate SDN network, is akey problem in the SDN virtualization environment.In this paper, we consider controller placement and virtual network embedding as a joint vSDN embedding

Keywords： Software-defined networking (SDN) Network virtualization Controller placement Virtual network embedding

HTML PDF Collect

A virtual service placement approach based on improved quantum genetic algorithm Project supported by the National Basic Research Program (973) of China (Nos. 2012CB315901 and 2013CB329104), the National Natural Science Foundation of China (Nos. 61309019, 61372121, 61572519, and 61502530), and the National High-Tech R&D Program (863) of China (Nos. 2015AA016102 and 2013AA013505) Article

Gang XIONG,Yu-xiang HU,Le TIAN,Ju-long LAN,Jun-fei LI,Qiao ZHOU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 7, Pages 661-671 doi: 10.1631/FITEE.1500494

Abstract: Despite the critical role that middleboxes play in introducing new network functionality, managementand innovation of them are still severe challenges for network operators, since traditional middleboxesRecently, though new networking technologies, such as network function virtualization (NFV) and softwaredefinedTherefore, we focus on the service deployment problem to reduce the transport delay in the network withOur scheme can achieve lower overall transport delay for a network compared with other schemes and reduce

Keywords： Software-defined networking (SDN) Network function virtualization Quantum genetic algorithm Middlebox

HTML PDF Collect

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 applicationdimension reduction method of high-dimensional system and reveal the calculation mechanism of the neural networkWe apply our framework to some network models and a real system of the whole neuron map of CaenorhabditisResult shows that a simple linear mapping relationship exists between network structure and network behaviorin the neural network with high-dimensional and nonlinear characteristics.

Keywords： neural networks interpretability dynamical behavior network decouple

HTML PDF Collect

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

HTML PDF Collect

Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6, Pages 1285-1298 doi: 10.1007/s11709-020-0691-7

Abstract: This article intends to model the multiscale constitution using feedforward neural network (FNN) andrecurrent neural network (RNN), and appropriate set of loading paths are selected to effectively predict

Keywords： multiscale method constitutive model feedforward neural network recurrent neural network

HTML PDF Collect

Heat, mass, and work exchange networks

Zhiyou CHEN, Jingtao WANG

Frontiers of Chemical Science and Engineering 2012, Volume 6, Issue 4, Pages 484-502 doi: 10.1007/s11705-012-1221-5

Abstract: This review presents the main works related to each network.

Keywords： process system engineering integration methods heat exchange network mass exchange network work exchangenetwork

HTML PDF Collect

Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4, Pages 814-828 doi: 10.1007/s11465-021-0650-6

Abstract: To address this issue, this paper explores a decision-tree-structured neural network, that is, the deepconvolutional tree-inspired network (DCTN), for the hierarchical fault diagnosis of bearings.The proposed model effectively integrates the advantages of convolutional neural network (CNN) and decision

Keywords： bearing cross-severity fault diagnosis hierarchical fault diagnosis convolutional neural network

HTML PDF Collect

Identifying spreading influence nodes for social networks

Frontiers of Engineering Management Pages 520-549 doi: 10.1007/s42524-022-0190-8

Abstract: The identification of spreading influence nodes in social networks, which studies how to detect important individuals in human society, has attracted increasing attention from physical and computer science, social science and economics communities. The identification algorithms of spreading influence nodes can be used to evaluate the spreading influence, describe the node’s position, and identify interaction centralities. This review summarizes the recent progress about the identification algorithms of spreading influence nodes from the viewpoint of social networks, emphasizing the contributions from physical perspectives and approaches, including the microstructure-based algorithms, community structure-based algorithms, macrostructure-based algorithms, and machine learning-based algorithms. We introduce diffusion models and performance evaluation metrics, and outline future challenges of the identification of spreading influence nodes.

Keywords： complex network network science spreading influence machine learning

HTML PDF Collect

Information Network—— Frontier of Information Engineering Science

Zhong Yixin

Strategic Study of CAE 1999, Volume 1, Issue 1, Pages 24-29

Abstract:

Information Network has been grown up and spread out to the entire globe extremely swiftly in recent

An attempt is made in the paper to establish a new discipline, the information network engineering, based on the above phenomenon.First, the concept of information network is re-defined clearly hereand then the working mechanism of information network is analyzed in depth.As a result of the analyses above, a list of the important issues and directions in information network

Keywords： information network intelligent productive tools network age information network engineering

HTML PDF Collect

Diffusion of municipal wastewater treatment technologies in China: a collaboration network perspective

Yang Li, Lei Shi, Yi Qian, Jie Tang

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 1, doi: 10.1007/s11783-017-0903-0

Abstract: Real wastewater treatment technology diffusion process was investigated. The research is based on a dataset of 3136 municipal WWTPs and 4634 organizations. A new metric was proposed to measure the importance of a project in diffusion. Important projects usually involve central organizations in collaboration. Organizations become more central by participating in less important projects. The diffusion of municipal wastewater treatment technology is vital for urban environment in developing countries. China has built more than 3000 municipal wastewater treatment plants in the past three decades, which is a good chance to understand how technologies diffused in reality. We used a data-driven approach to explore the relationship between the diffusion of wastewater treatment technologies and collaborations between organizations. A database of 3136 municipal wastewater treatment plants and 4634 collaborating organizations was built and transformed into networks for analysis. We have found that: 1) the diffusion networks are assortative, and the patterns of diffusion vary across technologies; while the collaboration networks are fragmented, and have an assortativity around zero since the 2000s. 2) Important projects in technology diffusion usually involve central organizations in collaboration networks, but organizations become more central in collaboration by doing circumstantial projects in diffusion. 3) The importance of projects in diffusion can be predicted with a Random Forest model at a good accuracy and precision level. Our findings provide a quantitative understanding of the technology diffusion processes, which could be used for water-relevant policy-making and business decisions.

Keywords： Innovation diffusion Collaboration network Wastewater treatment plant Complex network Data driven

HTML PDF Collect

Negative weights in network time model

Zoltán A. VATTAI, Levente MÁLYUSZ

Frontiers of Engineering Management 2022, Volume 9, Issue 2, Pages 268-280 doi: 10.1007/s42524-020-0109-1

Abstract: Previous network techniques (CPM/PERT/PDM) did not support negative parameters and/or loops (potentiallyMonsieur Roy and John Fondahl implicitly introduced negative weights into network techniques to representincorporating the dynamic model of the inner logic of time plan), and a surprisingly flexible and handy networkreview the theoretical possibilities and technical interpretations (and use) of negative weights in network

Keywords： graph technique network technique construction management scheduling