全部文献期刊学位论文会议报纸专利标准年鉴图书|学者科研项目
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作者:... Haizhong An , Xiaoliang Jia , Xiaoqi Sun
来源:[J].Mathematical Problems in Engineering(IF 1.383), 2016, Vol.2016DOAJ
摘要:The fluctuation of the dynamic correlation between bivariate time series has some special features on the time-frequency domain. In order to study these fluctuation features, this paper built the dynamic correlation network models using two kinds of time series as sample data. Af...
作者:... Xiangyun Gao , Xiaoliang Jia , Xiaojia Liu
来源:[J].Energy(IF 3.651), 2016, Vol.94, pp.195-205Elsevier
摘要:Abstract(#br)Indirect energy consumption accounts for a large proportion of the all energy used in processes to make the final products and thus exerts huge pressure on environment. Structural analysis of indirect energy flow network is a prerequisite for solutions to energy...
作者:... Xiangyun Gao , Shaobo Wen , Xiaoliang Jia
来源:[J].Energy(IF 3.651), 2016, Vol.107, pp.259-271Elsevier
摘要:Abstract(#br)We propose a global network model to investigate the interdependence among the oil-equity nexuses from different countries in various time horizons based on wavelet coherence and gray correlation. The stock indexes from 28 countries and crude oil prices of WTI (...
作者:... Haizhong An , Xiaoliang Jia , Xiaoqi Sun
来源:[J].Energy(IF 3.651), 2016Elsevier
摘要:Abstract(#br)Crude benchmark oil prices play a crucial role in energy policy and investment management. Previous research confined itself to studying the static, uncertain, short- or long-term relationship between global benchmark oil prices, ignoring the time-varying, quantitati...
作者:Xiaoliang Jia , Chaobo Hao
来源:[J].Mathematical Problems in Engineering(IF 1.383), 2016, Vol.2016Hindawi
摘要:Aiming at the nonlinearity, chaos, and small-sample of aero engine performance parameters data, a new ensemble model, named the least squares support vector machine (LSSVM) ensemble model with phase space reconstruction (PSR) and particle swarm optimization (PSO), is present...
作者:Xiaoliang Jia , Xiaoqi Sun
来源:[J].Mathematical Problems in Engineering(IF 1.383), 2016, Vol.2016Hindawi
摘要:The fluctuation of the dynamic correlation between bivariate time series has some special features on the time-frequency domain. In order to study these fluctuation features, this paper built the dynamic correlation network models using two kinds of time series as sample data. Af...
作者:Qian Wang , Xiaoliang Jia
来源:[J].Composite Structures(IF 2.231), 2020, Vol.235Elsevier
摘要:Abstract(#br)A full factorial experiment is performed for the conventional dry drilling of CFRP with spindle speed, feed rate and point angle as drilling parameters, response variables are thrust force and exit-delamination. Artificial neural network (ANN) is developed to express...
作者:Junhao Chen , Xiaoliang Jia
来源:[J].Computers in Industry(IF 1.709), 2020, Vol.115Elsevier
摘要:Abstract(#br)Assembly process design (APD) is a time-consuming and error-prone activity of complex product manufacturing. Assembly process reuse can efficiently improve the process design quality and shorten design cycle. With the rapid development of digital technologies, the in...
作者:... Haizhong An , Xuan Huang , Xiaoliang Jia
来源:[J].Applied Energy(IF 4.781), 2018, Vol.221, pp.122-130Elsevier
摘要:Abstract(#br)Interactions between oil prices and the stock market are complex both in the time and frequency domain. Unlike previous studies mainly focus on the dynamic correlation of specific oil-stock nexus with bivariate model; we explore the co-movement among coherence of oil...
作者:Xiaoliang Jia , Bo Hu
来源:[J].The International Journal of Advanced Manufacturing Technology(IF 1.205), 2019, Vol.103 (5-8), pp.1977-1988Springer
摘要:Abstract(#br)Drilling of carbon fiber-reinforced polymer (CFRP) is one indispensable machining operation to produce holes for final assembly of structural parts. Excessive cutting forces during drilling processes will lead to machining defects, such as fiber breakage, burrs, micr...

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