Auteur Yi Liu
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Documents disponibles écrits par cet auteur (8)
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Jian-feng Chen, Auteur ; Yi Liu, Auteur ; Yi Zhang, Auteur |A rotating packed-bed (RPB) reactor has been first applied to the Fischer―Tropsch synthesis (FTS) reaction. The main products of the FTS can be selectively formed by choosing the optimum high gravity level of the RPB reactor, which has opened a [...]![]()
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YanHong Zhang, Auteur ; Peng Qian, Auteur ; Yi Liu, Auteur |The influence of feed concentration on the solid/liquid two-phase flow in a mini-hydrocyclone was studied. A phase doppler particle analyzer was used to measure the two-phase flow pattern in a 25 mm hydrocyclone at three different feed concentra[...]![]()
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Yi Liu, Auteur ; Yadong Luo, Auteur ; Liu, Ting, Auteur |Building on economic and social exchange theories, this study investigates the different roles transactional and relational mechanisms have in hindering opportunism and improving relationship performance in an emerging economy. Our study applied[...]![]()
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Yi Liu, Auteur ; Zengliang Gao, Auteur ; Ping Li, Auteur |An efficient nonlinear just-in-time learning (JITL) soft sensor method for online modeling of batch processes with uneven operating durations is proposed. A recursive least-squares support vector regression (RLSSVR) approach is combined with the[...]![]()
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Yian Zheng, Auteur ; Yi Liu, Auteur ; Aiqin Wang, Auteur |In the present work, kapok fiber oriented polyaniline (KF-O-PAN) was prepared via a facile polymerization of aniline on the surface of KF and optimized using response surface methodology based on a central composite design. Adsorption characteri[...]![]()
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Yuan Li, Auteur ; Peter Ping Li, Auteur ; Yi Liu, Auteur |We focus on the unique role of offshore OEM cooperation as a learning opportunity for local suppliers in the emerging economies. In particular, we conceptually argue and empirically confirm the links between learning intent, capability enhanceme[...]![]()
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Yi Liu, Auteur ; Yanchen Gao, Auteur ; Zengliang Gao, Auteur |A simple nonlinear control strategy using sparse kernel learning (SKL) with a polynomial kernel form is presented and applied to chemical processes. The nonlinear process is first identified by SKL with a polynomial kernel, and then a predictive[...]![]()
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Yi Liu, Auteur ; Naiping Hu, Auteur ; Haiqing Wang, Auteur |Soft analyzers have been increasingly accepted as an alternative to physical ones in the chemical industry to infer and improve the product quality. In this study, an adaptive least-squares support vector regression (ALSSVR) algorithm is propose[...]


