No abstract

The competition within the digital content market has become extremely fierce recently in China. With increasingly diversified product choices offered to customers, the focus on customer experience has been elevated to the highest level ever. It has become key to winning customers from within the intense competition and for companies to obtain differentiation advantages to create optimized customer experience from the customers’ viewpoint. The article analyzes the relationship between customer experience and the business model of digital content companies. Later, it comes up with an innovated business model based on the big data of customer experience to restructure the business process of digital content companies and to illustrate the designing process of new models in the product application design and customer care stages based on the model proposed, which can be used as references for the transformation and innovation of digital content companies.

The torsional vibration often occurs during the rolling process, which will affect the production equipment. Based on electromagnetic field theory, the air gap magnetic field energy of salient pole synchronous motor was given, and the expression of electromagnetic torque was derived using the energy analysis method. In order to study the electromechanical coupling characteristics of the main drive system in rolling mill, a torsional vibration model with strongly nonlinear terms was established on the basis of mechanical dynamic principle. The periodic solutions of the strongly nonlinear torsional vibration system were obtained using the incremental harmonic balance (IHB) method. When the excitation force amplitude and the electromagnetic stiffness changed, the influence law on the torsional vibration characteristics of electromechanical coupling system under strongly nonlinear conditions was found. The effects of different electrical and mechanical parameters on the system amplitude-frequency property and vibration displacement characteristics were analyzed. All these research results are significant to structure design, parameter optimization and vibration control for the mill drive system.[ Ã ] Prof.

Bifurcation and chaos analysis of a nonlinear electromechanical coupling relative rotation system * Liu Shuang(刘 爽) a)b) , Zhao Shuang-Shuang(赵双双) a) , Sun Bao-Ping(孙宝平) a) , and Zhang Wen-Ming(张文明) a)b) † a)

The frequent interruptions of network operation due to any incident suggest the necessity to study the rules of operational risk propagation in metro networks, especially under fully automatic operations mode. In this study, risk indicator computation models were developed by analyzing risk propagation processes within transfer stations and metro networks. Moreover, indicator variance rules for a transfer station and different structural networks were discussed and verified through simulation. After reviewing the simulation results, it was concluded that under the impacts of both sudden incident and peak passenger flow, the more the passengers coming from platform inlets, the longer the non-incidental line platform total train operation delay and the higher the crowding degree. However, train headway has little influence on non-incidental line platform risk development. With respect to incident risk propagation in a metro network, the propagation speed varies with network structure, wherein an annular-radial network is the fastest, a radial is moderately fast, and a grid-type network is the slowest. The conclusions are supposed to be supports for metro operation safety planning and network design.