Travelers Impact and Consequences of Digitally Connected or Disconnected in Indian Tourism
Srishti Upadhyay,
Abhishek Mishra
Issue:
Volume 3, Issue 6, December 2017
Pages:
80-86
Received:
9 September 2017
Accepted:
21 September 2017
Published:
8 November 2017
Abstract: Technological progress and tourism have worked in the wheel for several years. the property is that the vehicle that drove the goal of technologically increased tourism experiences forward. This study, through AN beta qualitative analysis identifies the factors that boost and/or distract travelers from getting a digitally increased tourism expertise. Four factors will boost and/or distract travelers from being connected: (1) hardware and package, (2) wants and contexts, (3) openness to usage, and (4) provide and provision of property. The analysis conjointly analyses the positive and/or negative consequences that arise from being connected or disconnected. A Connected/Disconnected Consequences Model illustrates 5 varieties of positive and/or negative consequences: (1) handiness, (2) communication, (3) info obtainability, (4) time consumption, and (5) supporting experiences. a much better understanding of the role and consequence of property throughout the trip will enhance mortal expertise.
Abstract: Technological progress and tourism have worked in the wheel for several years. the property is that the vehicle that drove the goal of technologically increased tourism experiences forward. This study, through AN beta qualitative analysis identifies the factors that boost and/or distract travelers from getting a digitally increased tourism expertis...
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Recursive Identification of Hammerstein Systems with Polynomial Function Approximation
Wang Jian-hong,
Tang De-zhi,
Jiang Hong,
Tang Xiao-jun
Issue:
Volume 3, Issue 6, December 2017
Pages:
87-94
Received:
25 September 2017
Accepted:
27 October 2017
Published:
20 November 2017
Abstract: Nonlinear system identification is considered, where the nonlinear static function was approximated by a number of polynomial functions. It is based on a piecewise-linear Hammerstein model, which is linear in the parameters. The identification procedure is divided into two steps. Firstly we adopt the extended stochastic gradient algorithm to identify some unknown parameters. Secondly using singular value decomposition (SVD), we propose a new method to identify other parameters. The basic idea is to replace un-measurable noise terms in the information vectors by their estimates, and to compute the noise estimates based on the obtained parameter estimates. The applicability of the approach is illustrated by a simulation.
Abstract: Nonlinear system identification is considered, where the nonlinear static function was approximated by a number of polynomial functions. It is based on a piecewise-linear Hammerstein model, which is linear in the parameters. The identification procedure is divided into two steps. Firstly we adopt the extended stochastic gradient algorithm to identi...
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