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Time delay 4

Controller area network 2

Linear matrix inequality 2

Synchronization 2

Time-varying delay 2

delay 2

neural network 2

2 1

5-dimethylfuran (DMF) 1

5G 1

Active queue management 1

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Message delay time distribution analysis for controller area network under errors Research Papers

Lei-ming ZHANG, Yi-chao SUN, Yong LEI

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 6, Pages 760-772 doi: 10.1631/FITEE.1700815

Abstract: understand the network behavior under errors for the optimal design of networked control systems, the messageIn this study, a novel delay time distribution analysis method for the response messages is proposedIn this method the complex message queues are decomposed into typical message patterns and cases.Then the message delay time distribution for the single slave node configuration is analyzed based onof message delay time distribution for the master/slave configuration is developed.

Keywords： Controller area network Message delay Probability distribution Errors

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New Year’s Message for 2022

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 1, Pages 14-14 doi: 10.1007/s11783-022-1538-3

Abstract: 2022 marks the 15th anniversary of the journal of Frontiers of Environmental Science & Engineering (FESE). To date, FESE has received more than 5500 submissions from more than 80 countries and our acceptance rate is ~20%. FESE has also been providing a communication and development platform by increasing its editorial board, organizing conferences, and setting up awards. We are grateful for the support from authors, reviewers, readers, and editorial colleagues to jointly make FESE an internationally recognized journal in the Environmental Science and Engineering field. FESE is becoming an important and irreplaceable forum on environmental issues. Nowadays, environmental issues have attracted tremendous attention and they call for solutions to combat pollution, to achieve carbon neutrality, to tackle climate change, and to promote sustainable development. Accordingly, research is tackling more complex challenges and FESE is conveying knowledge and technological solutions to address these challenges. FESE will implement several new initiatives in 2022. First, FESE will further increase the quality of its publications and its services to the Environmental Science and Engineering community. Second, FESE will publish articles in a more timely fashion by publishing them on a monthly basis. Third, we will introduce a new article style, “Opinion,” that will broaden our perspectives and focus. Fourth, we have been launching the first Young Talent Award which will recognize promising investigators. 2022 will certainly be a year full of passion and expectations. Hereby, we hope that FESE will march toward a higher level with the hard work from editorial board members and editorial office, the continuous support from authors and reviewers, and the close collaborations among Chinese Academy of Engineering, Tsinghua University, Higher Education Press, Springer, and other organizations. Finally, we wish you all a happy, healthy, and fruitful 2022!

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New Year’s Message for 2023

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 1, doi: 10.1007/s11783-023-1613-4

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Message from the Editor

Yi QIAN,

Frontiers of Environmental Science & Engineering 2010, Volume 4, Issue 1, Pages 1-1 doi: 10.1007/s11783-010-1000-9

Abstract:

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Message from the Editor

Jingkang WANG

Frontiers of Chemical Science and Engineering 2011, Volume 5, Issue 1, Pages 1-1 doi: 10.1007/s11705-010-0530-9

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Applicability of high dimensional model representation correlations for ignition delay times of n-heptane

Wang LIU, Jiabo ZHANG, Zhen HUANG, Dong HAN

Frontiers in Energy 2019, Volume 13, Issue 2, Pages 367-376 doi: 10.1007/s11708-018-0584-9

Abstract: It is difficult to predict the ignition delay times for fuels with the two-stage ignition tendency becausesampling-high dimensional model representation (RS-HDMR) methods were employed to predict the ignition delayA detailed n-heptane chemical mechanism was used to calculate the fuel ignition delay times in the adiabaticBesides, the ignition delay times predicted by both types of correlations were validated against thoseTherefore, it is concluded that HDMR correlations are capable of predicting the ignition delay times

Keywords： ignition delay random sampling high dimensional model representation n-heptane fuel kinetics

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Detection of schedule delay risk of empirical construction projects

Tsegay GEBREHIWET, Hanbin LUO

Frontiers of Engineering Management 2018, Volume 5, Issue 2, Pages 251-267 doi: 10.15302/J-FEM-2018086

Abstract: In Ethiopian construction projects, schedule delay risk is a predominant issue because it is not properlyconstruction projects, limited efforts have been made to investigate the typical and the overall schedule delayIn this study, our aim is to detect the typical and overall schedule delay risk throughout the constructionThe findings showed that there is a typical delay risk either in the type or in the level of the different

Keywords： fuzzy analytic hierarchy process comprehensive evaluation construction project detection of delay risk

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A model reference adaptive control based method for actuator delay estimation in real-time testing

Cheng CHEN, James M. RICLES

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 3, Pages 277-286 doi: 10.1007/s11709-010-0072-8

Abstract: The compensation of actuator delay is therefore critical to achieve stable and reliable experimentalcompensation methods based on adaptive control theory enable researchers to accommodate variable actuator delayHowever, these adaptive methods all require time duration for actuator delay adaptation.Experiments show that a good actuator delay estimate can help optimize the performance of the adaptiveThe rate of adaptation also requires that a good actuator delay estimate be acquired especially for the

Keywords： real-time testing actuator delay compensation adaptive control MIT rule discrete transfer function

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The study on general design framework and message encoding ofweather hazards warning information broadcasting

Zhang Di,Li Zechun,Shi Peiliang,Wang Xuechen

Strategic Study of CAE 2009, Volume 11, Issue 9, Pages 8-12

Abstract: System based on Digital Audio Broadcasting technology and provides a digital format of Weather Warning messageencoding by conducting research on weather hazards warning message encoding.

Keywords： weather hazards warning information broadcasting system message encoding digital audio broadcasting

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End-to-end delay analysis for networked systems

Jie SHEN,Wen-bo HE,Xue LIU,Zhi-bo WANG,Zhi WANG,Jian-guo YAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 9, Pages 732-743 doi: 10.1631/FITEE.1400414

Abstract: End-to-end delay measurement has been an essential element in the deployment of real-time services inTraditional methods of delay measurement based on time domain analysis, however, are not efficient asWe propose a novel theoretical framework to analyze the end-to-end delay distributions of networked systemsdelay distribution is indeed the inverse Laplace transform of the transfer function of the signal flowBy analyzing the time responses of the transfer function, we obtain the end-to-end delay distribution

Keywords： Networked system End-to-end Delay distribution

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Effect of 2,5-dimethylfuran addition on ignition delay times of n-heptane at high temperatures

Zhenhua GAO, Erjiang HU, Zhaohua XU, Geyuan YIN, Zuohua HUANG

Frontiers in Energy 2019, Volume 13, Issue 3, Pages 464-473 doi: 10.1007/s11708-019-0609-z

Abstract: The experimental observations indicate that the ignition delay times nonlinearly increase with an increasethe competition of small radicals, which primarily leads to the nonlinear increase in the ignition delay

Keywords： ignition delay time shock tube kinetic model 2 5-dimethylfuran (DMF) n-heptane

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Ignition delay of dual fuel engine operating with methanol ignited by pilot diesel

ZOU Hongbo, WANG Lijun, LIU Shenghua, LI Yu

Frontiers in Energy 2008, Volume 2, Issue 3, Pages 285-290 doi: 10.1007/s11708-008-0060-z

Abstract: An investigation on the ignition delay of a dual fuel engine operating with methanol ignited by pilotpolytropic index of compression process of the dual fuel engine decreases linearly while the ignition delayCompared with the conventional diesel engine, the ignition delay increment of the dual fuel engine isWith the elevation of the intake charge temperature from 20°C to 40°C and then to 60°C, the ignition delayMoreover, with the increase in engine speed, the ignition delay of the dual fuel engine by time scale

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Subspace-based identification of discrete time-delay system Article

Qiang LIU,Jia-chen MA

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 6, Pages 566-575 doi: 10.1631/FITEE.1500358

Abstract: We investigate the identification problems of a class of linear stochastic time-delay systems with unknownA time-delay system is expressed as a delay differential equation with a single delay in the state vectorWe first derive an equivalent linear time-invariant (LTI) system for the time-delay system using a stateTo obtain a state-space model for the time-delay system, an alternate convex search (ACS) algorithm isThe time-delay system matrices under the same state-space basis can be recovered from the Kalman state

Keywords： Identification problems Time-delay systems Subspace identification method Alternate convex search

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Solution of Network-induced Delay Using GPC With Predictive Error Compensation

Wang Dongqing

Strategic Study of CAE 2005, Volume 7, Issue 8, Pages 60-65

Abstract:

With regard to the characteristics of uncertain network-induced delay, an idea of using GeneralizedRandom-delay-time characteristic of data transmission is tested in a networked control system.

Keywords： networked control systems (NCS) uncertain delay GPC neural network

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Characterizing Flight Delay Profiles with a Tensor Factorization Framework Article

Mingyuan Zhang, Shenwen Chen, Lijun Sun, Wenbo Du, Xianbin Cao

Engineering 2021, Volume 7, Issue 4, Pages 465-472 doi: 10.1016/j.eng.2020.08.024

Abstract: Therefore, this paper uses massive spatiotemporal flight data to identify similar traffic and delay patternsthese patterns, we then create an estimation model that provides preliminary judgment on the airport delayof this study can help airport operators and air traffic managers better understand air traffic and delay

Keywords： Air traffic management Flight delay Latent class model Tensor decomposition