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Future Internet: trends and challenges Special Feature on Future Network-Review Article

Jiao ZHANG, Tao HUANG, Shuo WANG, Yun-jie LIU

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 9,   Pages 1185-1194 doi: 10.1631/FITEE.1800445

Abstract: Future Internet needs to address these challenges to improve network scalability, security, mobility,and quality of service.We propose an integrated framework called the service customized network which combines the strengththe problems and challenges in the current research and serves as a guide and motivation for future network

Keywords： Future Internet     Network architecture     Service customized network    

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Understanding network travel time reliability with on-demand ride service data

Xiqun (Michael) CHEN, Xiaowei CHEN, Hongyu ZHENG, Chuqiao CHEN

Frontiers of Engineering Management 2017, Volume 4, Issue 4,   Pages 388-398 doi: 10.15302/J-FEM-2017046

Abstract: To better evaluate the urban network-wide travel time reliability, five indices based on the emergingon-demand ride service data are proposed: network free flow time rate (NFFTR), network travel time rate(NTTR), network planning time rate (NPTR), network buffer time rate (NBTR), and network buffer timeWe use real-world data extracted from DiDi-Chuxing, which is the largest on-demand ride service platformof the road network traffic dynamics and day-to-day travel time variations.

Keywords： network travel time reliability     on-demand ride services     travel time rate     OD    

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Service life prediction of fly ash concrete using an artificial neural network

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3,   Pages 793-805 doi: 10.1007/s11709-021-0717-9

Abstract: Once reinforcement is altered by carbonation, the structure will no longer fulfill service requirementsfly ash concrete by developing a carbonation depth prediction model that uses an artificial neural networktraining of a three-layer perceptron was selected for the calculation of weights and biases of the networkMoreover, experimental validation carried out for the developed model shows that the artificial neural networkFinally, a mathematical formula is proposed that can be used to successfully estimate the service life

Keywords： concrete     fly ash     carbonation     neural networks     experimental validation     service life    

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Current Status and Future Development of Cyberspace Security in Rail Transit Industry

Peng Yihua, Liu Mingyuan, Gao Shuai, Su Wei, Zhang Hongke

Strategic Study of CAE 2023, Volume 25, Issue 6,   Pages 136-149 doi: 10.15302/J-SSCAE-2023.06.005

Abstract:

The wide application of network technologies has meanwhile brought aboutincreasingly complex challenges regarding network environment for the key infrastructure of the railthat internal and external risk factors become the double threats to the industry’s dedicated networkand the traditional network architecture restricts network security and reliability in the rail transitfor network security in the rail transit industry.

Keywords： rail transit     cyberspace security     network architecture     customized network     network attack    

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A deep Q-learning network based active object detection model with a novel training algorithm for service Research Article

Shaopeng LIU, Guohui TIAN, Yongcheng CUI, Xuyang SHAO

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 11,   Pages 1673-1683 doi: 10.1631/FITEE.2200109

Abstract:

This paper focuses on the problem of (AOD). AOD is important for to complete tasks in the family environment, and leads robots to approach the target object by taking appropriate moving actions. Most of the current AOD methods are based on reinforcement learning with low training efficiency and testing accuracy. Therefore, an AOD model based on a (DQN) with a novel training algorithm is proposed in this paper. The DQN model is designed to fit the Q-values of various actions, and includes state space, feature extraction, and a multilayer perceptron. In contrast to existing research, a novel training algorithm based on memory is designed for the proposed DQN model to improve training efficiency and testing accuracy. In addition, a method of generating the end state is presented to judge when to stop the AOD task during the training process. Sufficient comparison experiments and ablation studies are performed based on an AOD dataset, proving that the presented method has better performance than the comparable methods and that the proposed training algorithm is more effective than the raw training algorithm.

Keywords： Active object detection     Deep Q-learning network     Training method     Service robots    

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Modeling and Real-time Performance Analysis of Switched Ethernet by Network Calculus

Wang Xiaoxin,Liu Luyuan,Liu Jing,Ma Jinjue

Strategic Study of CAE 2006, Volume 8, Issue 6,   Pages 55-59

Abstract: Through analyzing the structure of classical switch, a switch model by network calculus is proposed,in which the data flow is divided into real-time flow and non-real-time flow and the arrival curve, service

Keywords： network calculus     switch     arrival curve     service curve     delay    

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Development of Intelligent Connection Computing Network Technologies

Li Dan , Hu Yuxiang , Pan Heng , Zhang Jianhui , Wu Jiangxing

Strategic Study of CAE 2023, Volume 25, Issue 6,   Pages 39-48 doi: 10.15302/J-SSCAE-2023.06.014

Abstract: Research on computing task scheduling and network interconnection are still inadequate.and summarizes the developmental trends of computing-network integration., storage, and computing, intelligent arrangement of service functions, and endogenous securitystructure, as well as demonstration applications in the smart park network, vertical industry network, and data center network scenarios.

Keywords： intelligent connection computing network technology     diversified protocol     integration of network     storage     and computing     intelligent arrangement of service functions     endogenous security    

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Information sharing and performance of service supply chain

Yang Shanlin,Cheng Fei,Yang Changhui

Strategic Study of CAE 2011, Volume 13, Issue 8,   Pages 80-86

Abstract:

The service supply chain consisting of one service vendor (SV) and oneservice integrator (SI) was studied.The service vendor supplies original service productions or activities to the SI that in turn sells thevalue-add integration service to customers.In this paper, we developed information sharing and performance of service supply chain between SV and

Keywords： service supply chain     service vendor     service integrator     information sharing     coordination    

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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 analysisrequirements (CRs), product family design (PFD) for the customer base, configuration and modular design for customizedproducts, variant design for customized products, and a knowledge push for product intelligent designThe development trends in intelligent design for customized products include big-data-driven intelligentdesign technology for customized products and customized design tools and applications.

Keywords： Customized products     Customer requirements     Variant design     Intelligent design     Knowledge push    

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A multipath routing algorithm for satellite networksbased on service demand and traffic awareness Research Article

Ziyang XING, Hui QI, Xiaoqiang DI, Jinyao LIU, Rui XU, Jing CHEN, Ligang CONG,dixiaoqiang@cust.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 6,   Pages 844-858 doi: 10.1631/FITEE.2200507

Abstract: traffic, which may lead to network congestion and affect data transmission.In addition, in traditional transmission, the convergence of network information acquisition is slowand global network information cannot be collected in a fine-grained manner, which is not conduciveThe service quality requirements cannot be satisfied when multiple service requests are made.is used to obtain the global network information, perceive network traffic, develop comprehensive decisions

Keywords： Software-defined network (SDN)     Quick user datagram protocol Internet connection (QUIC)     Reinforcementlearning     Sketch     Multi-service demand     Satellite network    

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Discoverymethod for distributed denial-of-service attack behavior inSDNs using a feature-pattern graphmodel Special Feature on Future Network-Research Article

Ya XIAO, Zhi-jie FAN, Amiya NAYAK, Cheng-xiang TAN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 9,   Pages 1195-1208 doi: 10.1631/FITEE.1800436

Abstract: Among all the threats, distributed denial-of-service (DDoS) attacks can have a devastating impact onthe network.The feature-pattern graph model presented employs network patterns as nodes and similarity as weightedit can demonstrate not only the traffic header information but also the relationships among all the network

Keywords： Software-defined network     Distributed denial-of-service (DDoS)     Behavior discovery     Distance metric learning    

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Development of geographic information system and developi nggeographic information system

Wang Jiayao

Strategic Study of CAE 2009, Volume 11, Issue 2,   Pages 10-16

Abstract: considered that the idea of Open GIS and Com GIS , which were distributed , was more fit for both data serviceand functional service under Web( Grid) environment , and put forward that GIS was developing into Open

Keywords： GIS     architecture     develop model     Web service     Grid service    

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Service-oriented manufacturing: A literature review and future research directions

Frontiers of Engineering Management 2022, Volume 9, Issue 1,   Pages 71-88 doi: 10.1007/s42524-021-0171-3

Abstract: This study presents a systematic review of the literature on service-oriented manufacturing (SOM).

Keywords： service-oriented manufacturing     product– service systems     servitization     servicing     operations mana-    

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Development of Deterministic Networking Techniques for Industrial Manufacturing

Wang Shuo, Wang Jiasen, Cai Lei, Huang Tao, Lu Hua, Liu Yunjie

Strategic Study of CAE 2021, Volume 23, Issue 2,   Pages 22-29 doi: 10.15302/J-SSCAE-2021.02.004

Abstract: Internet and for promoting the integrated development of industrial manufacturing and high-quality network, thereby providing opportunities for occupying the commanding height of network technology and seizingResearch reveals that the “deterministic network + industrial manufacturing” development

Keywords： industrial manufacturing     industrial Internet     deterministic network     time-sensitive network     the fifth-generation(5G) mobile communication     quality of service    

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Towards a self-adaptive service-oriented methodology based on extended SOMA

Alireza PARVIZI-MOSAED,Shahrouz MOAVEN,Jafar HABIBI,Ghazaleh BEIGI,Mahdieh NASER-SHARIAT

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 1,   Pages 43-69 doi: 10.1631/FITEE.1400040

Abstract: The proposed process can be plugged into various software development processes and service-orientedTo this aim, the proposed SAP is integrated with the service-oriented modeling and application (SOMA)methodology in a two-layered structure to create a novel methodology, named self-adaptive service-oriented

Keywords： Quality attribute     Adaptation pattern     Architectural tactic     Service-oriented architecture     Self-adaptive    

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Title Author Date Type Operation

Future Internet: trends and challenges

Jiao ZHANG, Tao HUANG, Shuo WANG, Yun-jie LIU

Journal Article

Understanding network travel time reliability with on-demand ride service data

Xiqun (Michael) CHEN, Xiaowei CHEN, Hongyu ZHENG, Chuqiao CHEN

Journal Article

Service life prediction of fly ash concrete using an artificial neural network

Journal Article

Current Status and Future Development of Cyberspace Security in Rail Transit Industry

Peng Yihua, Liu Mingyuan, Gao Shuai, Su Wei, Zhang Hongke

Journal Article

A deep Q-learning network based active object detection model with a novel training algorithm for service

Shaopeng LIU, Guohui TIAN, Yongcheng CUI, Xuyang SHAO

Journal Article

Modeling and Real-time Performance Analysis of Switched Ethernet by Network Calculus

Wang Xiaoxin,Liu Luyuan,Liu Jing,Ma Jinjue

Journal Article

Development of Intelligent Connection Computing Network Technologies

Li Dan , Hu Yuxiang , Pan Heng , Zhang Jianhui , Wu Jiangxing

Journal Article

Information sharing and performance of service supply chain

Yang Shanlin,Cheng Fei,Yang Changhui

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

A multipath routing algorithm for satellite networksbased on service demand and traffic awareness

Ziyang XING, Hui QI, Xiaoqiang DI, Jinyao LIU, Rui XU, Jing CHEN, Ligang CONG,dixiaoqiang@cust.edu.cn

Journal Article

Discoverymethod for distributed denial-of-service attack behavior inSDNs using a feature-pattern graphmodel

Ya XIAO, Zhi-jie FAN, Amiya NAYAK, Cheng-xiang TAN

Journal Article

Development of geographic information system and developi nggeographic information system

Wang Jiayao

Journal Article

Service-oriented manufacturing: A literature review and future research directions

Journal Article

Development of Deterministic Networking Techniques for Industrial Manufacturing

Wang Shuo, Wang Jiasen, Cai Lei, Huang Tao, Lu Hua, Liu Yunjie

Journal Article

Towards a self-adaptive service-oriented methodology based on extended SOMA

Alireza PARVIZI-MOSAED,Shahrouz MOAVEN,Jafar HABIBI,Ghazaleh BEIGI,Mahdieh NASER-SHARIAT

Journal Article