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Wuxi, China

The Wuxi Institute of Technology is a technological institute in the Chinese city of Wuxi. Wikipedia.


Huang K.W.,Wuxi Institute of Technology
Applied Mechanics and Materials | Year: 2014

The paper focuses on the application of BIM in the different stages of the project, coordination implementation of the IPD and the information integration management of large project group. At the same time, the paper also puts forward the integration of BIM project document and project. © (2014) Trans Tech Publications, Switzerland. Source


Wang S.,Changzhou University | Yuan H.-C.,Changzhou Institute of Technology | Xu X.-F.,Wuxi Institute of Technology
European Physical Journal D | Year: 2013

We show that Fock states and Schrödinger-cat states can be conditionally generated by adding multiple photons to a squeezed vacuum state. To demonstrate this, we mainly investigate the photon-number distributions and the Wigner function of the multiple-photon-added squeezed vacuum state (MPASVS). We find that for small squeezing parameter r, the MPASVS approaches to the Fock state |m⟩, and the fidelity between the m-photon PASVS and the Fock state |m⟩ is close to 1. In terms of the fidelity between the MPASVS and the Schrödinger-cat state, as well as the Wigner function of the MPASVS, we show that the MPASVS is basically a Schrödinger-cat state with high fidelities and large amplitudes for the appropriate squeezing parameter. © 2013 EDP Sciences, SIF, Springer-Verlag Berlin Heidelberg. Source


Cai H.,Wuxi Institute of Technology
Wool Textile Journal | Year: 2015

The theory, function and technological process of garment process template technology were analyzed in this paper. Based on process template of double-besom pocket on men trousers, technical characteristics and application of garment process template were also studied. It focuseed on solving the above problems, optimized the processing, reduced the garment processing difficulty, and improved production efficiency and quality. In order to realize synchronization of production process, it can ensure production schedule and progress in highly controlling, reduce the reliance on skill of workers. Source


Chen J.,Jiangnan University | Zhang Y.,Wuxi Institute of Technology | Ding R.,Jiangnan University
Mathematical and Computer Modelling | Year: 2010

This paper considers the identification problem for multi-input multi-output nonlinear systems. The difficulty of the parameter identification of such systems is that the information vector in the identification model contains unknown variables. The solution is using the auxiliary model identification idea to overcome the difficulty. An auxiliary model based multi-innovation extended stochastic gradient algorithm is presented by expanding the innovation vector to an innovation matrix. The proposed algorithm uses not only the current innovation but also the past innovations at each recursion and thus the parameter estimation accuracy can be improved. The numerical example shows that the proposed algorithm is effective. © 2010 Elsevier Ltd. Source


Chen J.,Jiangnan University | Zhang Y.,Wuxi Institute of Technology | Ding R.,Jiangnan University
Nonlinear Dynamics | Year: 2013

This paper presents a gradient-based iterative identification algorithm and an auxiliary-model-based multi-innovation generalized extended stochastic gradient algorithm for input nonlinear systems with autoregressive moving average (ARMA) noises, i.e., the input nonlinear Box-Jenkins (IN-BJ) systems. The estimation errors given by the gradient-based iterative algorithm are smaller than the generalized extended stochastic gradient algorithm under same data lengths. A simulation example is provided. © 2013 Springer Science+Business Media Dordrecht. Source

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