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Structure Transformation of Irregular Information for Time-sequence and Elaborate Analysis of Evolution

Ouyang Shoucheng,Zhang Kui,Hao Liping,Zhou Lirong

Strategic Study of CAE 2005, Volume 7, Issue 4,   Pages 36-41

Abstract:

In this paper, the automatic meteorological recorders of timesequence are transformed intostructure information on the basis that time doesn't own dimension of matter.The results show that the irregular information of automatic meteorological recorders may be used incareful forecasting of rain storm, which will provide a technique for evolutional irregular information

Keywords: information of time-sequence     elaborate technique     irregular structure     phase space of orientation     evolution    

The Time Sequence Data Mining Techniques Based on Grey System Theory

Liu Bin,Liu Sifeng,Dang Yaoguo

Strategic Study of CAE 2003, Volume 5, Issue 9,   Pages 32-35

Abstract: thoughts and the grey system (GS) theory, it proposes the GS-based data mining method set (GDMS) for timesequence first.

Keywords: grey system theories     embedded knowledge     time sequeke data mining     GDMS     forecast    

Simulation and Evaluation of Real-Time and Intelligent Space-Based Information Service System of China

Jiang Hao, Li Deren, Shen Xin, Wu Jing

Strategic Study of CAE 2020, Volume 22, Issue 2,   Pages 153-160 doi: 10.15302/J-SSCAE-2020.02.019

Abstract:

The real-time and intelligent space-based information service systemis a next-generation space-based information system featuring multi-satellite coordination and multi-networkTo support the top-level design and construction of the real-time and intelligent space-based informationThis study can provide technical supports for the feasibility evaluation and construction of the real-timeand intelligent space-based information
service system.

Keywords: space-based information     real-time services     simulation     evaluation     low-orbit communication satellite system    

Real-time immune-inspired optimum state-of-charge trajectory estimation using upcoming route information

Ahmad MOZAFFARI,Mahyar VAJEDI,Nasser L. AZAD

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 2,   Pages 154-167 doi: 10.1007/s11465-015-0336-z

Abstract: investigation is to develop a computational intelligence-based framework which can be used for the real-timeThe devised intelligent SOC trajectory builder takes advantage of the upcoming route information previewTo reduce the complexity of real-time optimization, the authors propose an immune system-based clusteringapproach which allows categorizing the route information into a predefined number of segments.The intelligent real-time optimizer is also inspired on the basis of interactions in biological immune

Keywords: trip information preview     intelligent transportation     state-of-charge trajectory builder     immune systems    

A multiscale-contour-based interpolation framework for generating a time-varying quasi-dense point cloudsequence

Chu-hua HUANG,Dong-ming LU,Chang-yu DIAO

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 5,   Pages 422-434 doi: 10.1631/FITEE.1500316

Abstract: We obtain a higher frame rate, spatio-temporal-coherence, and a quasi-dense point cloud sequence withcolor information.

Keywords: Free-viewpoint video     Point-pair     Multiscale-contour-based interpolation     Spatio-temporal-contour     Consistency     Time-varyingpoint cloud sequence    

Research on the Development Strategy of Real-time and Intelligent Space-Based Information Service System

Li Deren , Shen Xin

Strategic Study of CAE 2020, Volume 22, Issue 2,   Pages 138-143 doi: 10.15302/J-SSCAE-2020.02.017

Abstract:

Real-time and intelligent space-based information service system is aIt delivers space-based information to civil and military users as required in real time, relying onThis paper first analyzes the strategic requirements for real-time and intelligent space-based informationMoreover, it expounds the basic concept, objectives, and technical architecture of the real-time andThe real-time intelligent space-based information service system can be established through three steps

Keywords: space-based information     real-time intelligent service     system construction     technical architecture     strategic    

Ant colony optimization for assembly sequence planning based on parameters optimization

Zunpu HAN, Yong WANG, De TIAN

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 393-409 doi: 10.1007/s11465-020-0613-3

Abstract: As an important part of product design and manufacturing, assembly sequence planning (ASP) has a considerabletypical NP-complete problem that requires effective methods to find the optimal or near-optimal assembly sequenceThe assembly constraints and rules guarantee to obtain a reasonable assembly sequence.SOS) and ant colony optimization (ACO) is proposed to calculate the optimal or near-optimal assembly sequenceSOS-ACO is also robust in identifying the best assembly sequence in nearly every experiment.

Keywords: assembly sequence planning     ant colony optimization     symbiotic organisms search     parameter optimization    

Design of Block Cipher Substitution Network on Chaos

Sun Feng,Qin Honglei,Xu Yiaoqun,Hao Yianling

Strategic Study of CAE 2000, Volume 2, Issue 9,   Pages 47-49

Abstract: The ergodic theory of chaos and the time complexity of substitution network is analyzed.

Keywords: chaos sequence     permutation network     ergodic theory     time complexity    

Physics-Informed Deep Learning-Based Real-Time Structural Response Prediction Method

Ying Zhou,Shiqiao Meng,Yujie Lou,Qingzhao Kong,

Engineering doi: 10.1016/j.eng.2023.08.011

Abstract: structural response prediction, this study proposes a novel physics-informed deep-learning-based real-timeThe proposed method includes a Phy-Seisformer model that incorporates the physical information of the

Keywords: Structural seismic response prediction     Physics information informed     Real-time prediction     Earthquake engineering    

Estimation of the Impact of Traveler Information Apps on Urban Air Quality Improvement Article

Wenke Huang, Mingwei Hu

Engineering 2018, Volume 4, Issue 2,   Pages 224-229 doi: 10.1016/j.eng.2018.03.003

Abstract: Real-time traveler information can not only help travelers avoid traffic congestion, but also advisethem to adjust their departure time, mode, or route, or even to cancel trips.With this work, we attempt to answer the question of whether the real-time traffic information provided

Keywords: Real-time traffic information     Mobile devices     Environmental benefits    

Regional seismic-damage prediction of buildings under mainshock–aftershock sequence

Xinzheng LU, Qingle CHENG, Zhen XU, Chen XIONG

Frontiers of Engineering Management 2021, Volume 8, Issue 1,   Pages 122-134 doi: 10.1007/s42524-019-0072-x

Abstract: A framework to predict regional seismic damage of buildings under a mainshock–aftershock (MS–AS) sequenceis proposed in this study based on city-scale nonlinear time-history analysis (THA).Specifically, an MS–AS sequence-generation method is proposed to generate a potential MS–AS sequencecan be predicted reasonably and accurately by city-scale nonlinear THA. (2) An MS–AS sequence can begenerated reasonably by the proposed MS–AS sequence-generation method. (3) Regional seismic damage of

Keywords: regional seismic damage prediction     city-scale nonlinear time-history analysis     mainshock–aftershock sequence    

The research of grey clustering decision of assembly sequence based on petri net

Mo Qian,Luo Yi

Strategic Study of CAE 2008, Volume 10, Issue 11,   Pages 65-68

Abstract: according to the intuitionistic graphics mode characteristics of petri net, and gets feasible assembly sequenceMost of factors influencing assembly sequence are certainly qualitative, fuzzy, non-numerical, assemblysequence is regarded as a gray system, and grey clustering decision method is adopted to evaluate feasibleassembly sequence.

Keywords: assembly sequence     petri net     grey clustering decision method    

Analysis of dispatching rules in a stochastic dynamic job shop manufacturing system with sequence-dependent

Pankaj SHARMA,Ajai JAIN

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 4,   Pages 380-389 doi: 10.1007/s11465-014-0315-9

Abstract:

Stochastic dynamic job shop scheduling problem with consideration of sequence-dependent setup timesThis paper assesses the performance of nine dispatching rules in such shop from makespan, mean flow timetime performance measures viewpoint.Results indicate that shortest setup time (SIMSET) rule provides the best performance for mean flow time, mean tardiness, maximum tardiness, total setups and mean setup time measures.

Keywords: scheduling     stochastic dynamic job shop     sequence-dependent setup times     dispatching rule     simulation    

Transforming bacterial disease surveillance and investigation using whole-genome sequence to probe the

Biao Kan, Haijian Zhou, Pengcheng Du, Wen Zhang, Xin Lu, Tian Qin, Jianguo Xu

Frontiers of Medicine 2018, Volume 12, Issue 1,   Pages 23-33 doi: 10.1007/s11684-017-0607-7

Abstract:

Two decades have passed since the first bacterial whole-genome sequencing, which provides new opportunity for microbial genome. Consequently, considerable genetic diversity encoded by bacterial genomes and among the strains in the same species has been revealed. In recent years, genome sequencing techniques and bioinformatics have developed rapidly, which has resulted in transformation and expedited the application of strategy and methodology for bacterial genome comparison used in dissection of infectious disease epidemics. Bacterial whole-genome sequencing and bioinformatic computing allow genotyping to satisfy the requirements of epidemiological study in disease control. In this review, we outline the significance and summarize the roles of bacterial genome sequencing in the context of bacterial disease control and prevention. We discuss the applications of bacterial genome sequencing in outbreak detection, source tracing, transmission mode discovery, and new epidemic clone identification. Wide applications of genome sequencing and data sharing in infectious disease surveillance networks will considerably promote outbreak detection and early warning to prevent the dissemination of bacterial diseases.

Keywords: genome sequencing     genomic epidemiology     bacteria     surveillance     infectious diseases    

A novel sequence batch membrane carbonation photobioreactor developed for microalgae cultivation

Caiyun Hou, Sen Qiao, Yue Yang, Jiti Zhou

Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 6, doi: 10.1007/s11783-019-1176-6

Abstract: In this study, a novel sequence batch membrane carbonation photobioreactor was developed for microalgae

Keywords: Membrane carbonation     SBM-C-PBR     Cultivate microalgae     Membrane fouling    

Title Author Date Type Operation

Structure Transformation of Irregular Information for Time-sequence and Elaborate Analysis of Evolution

Ouyang Shoucheng,Zhang Kui,Hao Liping,Zhou Lirong

Journal Article

The Time Sequence Data Mining Techniques Based on Grey System Theory

Liu Bin,Liu Sifeng,Dang Yaoguo

Journal Article

Simulation and Evaluation of Real-Time and Intelligent Space-Based Information Service System of China

Jiang Hao, Li Deren, Shen Xin, Wu Jing

Journal Article

Real-time immune-inspired optimum state-of-charge trajectory estimation using upcoming route information

Ahmad MOZAFFARI,Mahyar VAJEDI,Nasser L. AZAD

Journal Article

A multiscale-contour-based interpolation framework for generating a time-varying quasi-dense point cloudsequence

Chu-hua HUANG,Dong-ming LU,Chang-yu DIAO

Journal Article

Research on the Development Strategy of Real-time and Intelligent Space-Based Information Service System

Li Deren , Shen Xin

Journal Article

Ant colony optimization for assembly sequence planning based on parameters optimization

Zunpu HAN, Yong WANG, De TIAN

Journal Article

Design of Block Cipher Substitution Network on Chaos

Sun Feng,Qin Honglei,Xu Yiaoqun,Hao Yianling

Journal Article

Physics-Informed Deep Learning-Based Real-Time Structural Response Prediction Method

Ying Zhou,Shiqiao Meng,Yujie Lou,Qingzhao Kong,

Journal Article

Estimation of the Impact of Traveler Information Apps on Urban Air Quality Improvement

Wenke Huang, Mingwei Hu

Journal Article

Regional seismic-damage prediction of buildings under mainshock–aftershock sequence

Xinzheng LU, Qingle CHENG, Zhen XU, Chen XIONG

Journal Article

The research of grey clustering decision of assembly sequence based on petri net

Mo Qian,Luo Yi

Journal Article

Analysis of dispatching rules in a stochastic dynamic job shop manufacturing system with sequence-dependent

Pankaj SHARMA,Ajai JAIN

Journal Article

Transforming bacterial disease surveillance and investigation using whole-genome sequence to probe the

Biao Kan, Haijian Zhou, Pengcheng Du, Wen Zhang, Xin Lu, Tian Qin, Jianguo Xu

Journal Article

A novel sequence batch membrane carbonation photobioreactor developed for microalgae cultivation

Caiyun Hou, Sen Qiao, Yue Yang, Jiti Zhou

Journal Article