Resource Type

Journal Article 47

Year

2023 5

2022 2

2021 2

2020 1

2019 1

2018 2

2017 2

2015 5

2014 1

2013 1

2012 4

2011 3

2010 2

2009 1

2008 3

2007 3

2006 2

2004 2

2001 2

1999 2

open ︾

Keywords

time series 3

characteristic 2

forecasting 2

time series analysis 2

topology optimization 2

ARMA model 1

Air Health Index 1

Air pollution 1

Attention 1

Automatic generation control (AGC) 1

Bayesian filtering 1

CR-Fuxing series 1

Chinese ocean color satellite series 1

Constrained filtering 1

Deep learning 1

Dendrite net (DD) 1

Dissolved oxygen concentrations forecasting 1

Empirical wavelet transform decomposition 1

Engineering 1

Fuzzy Markov chain 1

open ︾

Search scope:

排序: Display mode:

High End Computing in China and the Exploration of “SunwayComputers

Chen Zuoning

Strategic Study of CAE 2004, Volume 6, Issue 9,   Pages 23-28

Abstract: application status of HEC in China, introduces the major technical features and application achievements of Sunwayseries high-performance computers; discusses the problems faced by today's HEC technologies, and

Keywords: computing     grid computing     high performance service     high productivity computing     total cost of ownership     Sunwayseries computers    

Analyzing construction safety through time series methods

Houchen CAO, Yang Miang GOH

Frontiers of Engineering Management 2019, Volume 6, Issue 2,   Pages 262-274 doi: 10.1007/s42524-019-0015-6

Abstract: Various time series (TS) methods were adopted for identifying the leading indicators or predictors of

Keywords: time series     temporal     construction safety     leading indicators     accident prevention     forecasting    

General expression for linear and nonlinear time series models

Ren HUANG, Feiyun XU, Ruwen CHEN

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1,   Pages 15-24 doi: 10.1007/s11465-009-0015-z

Abstract: The typical time series models such as ARMA, AR, and MA are founded on the normality and stationarityThis paper proposes a general expression for linear and nonlinear auto-regressive time series modelsThe modeling and prediction accuracy of the GNAR model is superior to the classical time series models

Keywords: linear and nonlinear     autoregressive model     system identification     time series analysis    

Decreasing complexity of glucose time series derived from continuous glucose monitoring is correlated

Frontiers of Medicine 2023, Volume 17, Issue 1,   Pages 68-74 doi: 10.1007/s11684-022-0955-9

Abstract: By calculating the complexity of glucose time series index (CGI) with refined composite multi-scale entropyanalysis of the CGM data, the study showed for the first time that the complexity of glucose time series

Keywords: complexity of glucose time series     continuous glucose monitoring     impaired glucose regulation     insulin    

Air-borne noise of thermal module and system for notebook personal computers: experimental study

SHI Junye, JIANG Cailing, QIAO Junsheng, CHEN Jiangpin, LI Xiaoping, ZHANG Xiaojun

Frontiers in Energy 2008, Volume 2, Issue 2,   Pages 174-178 doi: 10.1007/s11708-008-0034-1

Abstract: Thermal performance is the most important issue to be considered when a thermal module is designed for a notebook personal computer (PC). Because the fan causes air-borne noise and affects the user’s comfort, the acoustic characteristics of the module attract more attention. Experiments were conducted to study the noise sources, the noise characteristic and the main factors influencing the noise level. The difference between the air-borne noise of the thermal module and the whole computer system was analyzed and its propagating characteristics were derived. The influence of I/O ports on the air-borne noise was also studied experimentally.

Keywords: air-borne     attention     propagating     characteristic     personal computer    

Time-series prediction based on global fuzzy measure in social networks

Li-ming YANG,Wei ZHANG,Yun-fang CHEN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10,   Pages 805-816 doi: 10.1631/FITEE.1500025

Abstract: Social network analysis (SNA) is among the hottest topics of current research. Most measurements of SNA methods are certainty oriented, while in reality, the uncertainties in relationships are widely spread to be overridden. In this paper, fuzzy concept is introduced to model the uncertainty, and a similarity metric is used to build a fuzzy relation model among individuals in the social network. The traditional social network is transformed into a fuzzy network by replacing the traditional relations with fuzzy relation and calculating the global fuzzy measure such as network density and centralization. Finally, the trend of fuzzy network evolution is analyzed and predicted with a fuzzy Markov chain. Experimental results demonstrate that the fuzzy network has more superiority than the traditional network in describing the network evolution process.

Keywords: Time-series network     Fuzzy network     Fuzzy Markov chain    

A MATLAB code for the material-field series-expansion topology optimization method

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3,   Pages 607-622 doi: 10.1007/s11465-021-0637-3

Abstract: This paper presents a MATLAB implementation of the material-field series-expansion (MFSE) topo-logy optimizationWith the series-expansion method for bounded fields, this material field is described with the characteristic

Keywords: MATLAB implementation     topology optimization     material-field series-expansion method     bounded material    

Performance analysis of series/parallel and dual side LCC compensation topologies of inductive power

P. Srinivasa Rao NAYAK, Dharavath KISHAN

Frontiers in Energy 2020, Volume 14, Issue 1,   Pages 166-179 doi: 10.1007/s11708-018-0549-z

Abstract: This paper analyzes series/parallel (S/P) and dual side inductor-capacitor-capacitor (LCC) compensation

Keywords: series/parallel compensation     electric vehicle (EV)     dual side LCC compensation     inductive power transfer    

Achieving desired nodal lines in freely vibrating structures via material-field series-expansion topology

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 3, doi: 10.1007/s11465-023-0758-y

Abstract: In this study, an effective material-field series-expansion (MFSE)-based topology optimization design

Keywords: nodal line     topology optimization     structural dynamics design     material-field series-expansion    

Employing electricity-consumption monitoring systems and integrative time-series analysis models: A case

Seiya MAKI, Shuichi ASHINA, Minoru FUJII, Tsuyoshi FUJITA, Norio YABE, Kenji UCHIDA, Gito GINTING, Rizaldi BOER, Remi CHANDRAN

Frontiers in Energy 2018, Volume 12, Issue 3,   Pages 426-439 doi: 10.1007/s11708-018-0560-4

Abstract: in smart energy monitoring technologies, the identification of appropriate methods for detailed time-seriesThe real-time SEMS data and time-series clustering to explore similarities in electricity consumption

Keywords: electricity monitoring     electricity demand prediction     multiple-variable time-series modeling     time-series    

Long March 3 Series Launch Vehicle

Long Lehao

Strategic Study of CAE 1999, Volume 1, Issue 1,   Pages 11-18

Abstract: approach, system engineering, launch results and technical & development characteristics of LM - 3 series

Keywords: aerospace     heavy lift launch vehicle     launch services     LM - 3 series launch vehicle    

Short-term prediction of the influent quantity time series of wastewater treatment plant based on a chaos

LI Xiaodong, ZENG Guangming, HUANG Guohe, LI Jianbing, JIANG Ru

Frontiers of Environmental Science & Engineering 2007, Volume 1, Issue 3,   Pages 334-338 doi: 10.1007/s11783-007-0057-6

Abstract: The nonlinear dynamic characteristic of WWTP influent quantity time series was analyzed, with the assumptionthat the series was predictable.

Keywords: nonlinear     reconstruction     WWTP influent     characteristic     Reasonable forecasting    

A relation spectrum inheriting Taylor series: muscle synergy and coupling for hand Research Article

Gang LIU, Jing WANG,gangliu.6677@gmail.com,wangpele@gmail.com

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 1,   Pages 145-157 doi: 10.1631/FITEE.2000578

Abstract: There are two famous function decomposition methods in math: the and the Fourier series.The Fourier series developed into the Fourier spectrum, which was applied to signal decomposition and

Keywords: Taylor series     Relation spectrum     Dendrite net (DD)     Prosthetic hands     Machine learning     Engineering    

Generalization and application in time series forecasting of the least square support vector machine

Xiang Xiaodong

Strategic Study of CAE 2008, Volume 10, Issue 11,   Pages 89-92

Abstract: According to the theory that the present data contains more future information than historical data in time-seriesvector machine,and develops algorithm of the extended prediction model.Prediction examples of two time-series

Keywords: least square support vector machine     generalization     time series     forecasting    

challenges for the exascale supercomputing system: practice of a parallel supporting environment on the Sunway Research Article

Xiaobin HE, Xin CHEN, Heng GUO, Xin LIU, Dexun CHEN, Yuling YANG, Jie GAO, Yunlong FENG, Longde CHEN, Xiaona DIAO, Zuoning CHEN,hexiaobin_1984@163.com,ischen.xin@foxmail.com,yyylx@263.net,adch@263.net

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 1,   Pages 41-58 doi: 10.1631/FITEE.2200412

Abstract: With the continuous improvement of performance and the integration of artificial intelligence with traditional scientific computing, the scale of applications is gradually increasing, from millions to tens of millions of computing cores, which raises great challenges to achieve high scalability and efficiency of parallel applications on super-large-scale systems. Taking the exascale prototype system as an example, in this paper we first analyze the challenges of high scalability and high efficiency for parallel applications in the exascale era. To overcome these challenges, the optimization technologies used in the parallel supporting environment software on the exascale prototype system are highlighted, including the parallel operating system, input/output (I/O) optimization technology, parallel debugging technology, 10-million-core parallel algorithm, and mixed-precision method. Parallel operating systems and I/O optimization technology mainly support large-scale system scaling, while the parallel debugging technology, 10-million-core parallel algorithm, and mixed-precision method mainly enhance the efficiency of large-scale applications. Finally, the contributions to various applications running on the exascale prototype system are introduced, verifying the effectiveness of the parallel supporting environment design.

Keywords: Parallel computing     Sunway     Ultra-large-scale     Supercomputer    

Title Author Date Type Operation

High End Computing in China and the Exploration of “SunwayComputers

Chen Zuoning

Journal Article

Analyzing construction safety through time series methods

Houchen CAO, Yang Miang GOH

Journal Article

General expression for linear and nonlinear time series models

Ren HUANG, Feiyun XU, Ruwen CHEN

Journal Article

Decreasing complexity of glucose time series derived from continuous glucose monitoring is correlated

Journal Article

Air-borne noise of thermal module and system for notebook personal computers: experimental study

SHI Junye, JIANG Cailing, QIAO Junsheng, CHEN Jiangpin, LI Xiaoping, ZHANG Xiaojun

Journal Article

Time-series prediction based on global fuzzy measure in social networks

Li-ming YANG,Wei ZHANG,Yun-fang CHEN

Journal Article

A MATLAB code for the material-field series-expansion topology optimization method

Journal Article

Performance analysis of series/parallel and dual side LCC compensation topologies of inductive power

P. Srinivasa Rao NAYAK, Dharavath KISHAN

Journal Article

Achieving desired nodal lines in freely vibrating structures via material-field series-expansion topology

Journal Article

Employing electricity-consumption monitoring systems and integrative time-series analysis models: A case

Seiya MAKI, Shuichi ASHINA, Minoru FUJII, Tsuyoshi FUJITA, Norio YABE, Kenji UCHIDA, Gito GINTING, Rizaldi BOER, Remi CHANDRAN

Journal Article

Long March 3 Series Launch Vehicle

Long Lehao

Journal Article

Short-term prediction of the influent quantity time series of wastewater treatment plant based on a chaos

LI Xiaodong, ZENG Guangming, HUANG Guohe, LI Jianbing, JIANG Ru

Journal Article

A relation spectrum inheriting Taylor series: muscle synergy and coupling for hand

Gang LIU, Jing WANG,gangliu.6677@gmail.com,wangpele@gmail.com

Journal Article

Generalization and application in time series forecasting of the least square support vector machine

Xiang Xiaodong

Journal Article

challenges for the exascale supercomputing system: practice of a parallel supporting environment on the Sunway

Xiaobin HE, Xin CHEN, Heng GUO, Xin LIU, Dexun CHEN, Yuling YANG, Jie GAO, Yunlong FENG, Longde CHEN, Xiaona DIAO, Zuoning CHEN,hexiaobin_1984@163.com,ischen.xin@foxmail.com,yyylx@263.net,adch@263.net

Journal Article