Tainan University of Technology

About: Tainan University of Technology is a education organization based out in Tainan City, Taiwan. It is known for research contribution in the topics: Password & Authentication. The organization has 311 authors who have published 641 publications receiving 10826 citations.

The impact of media reputation on customers behavioral intention - the contextual stepwise approach

Abstract: This study employed both quantitative and qualitative approaches to discuss the impacts of media reputation on customers behavioral intentions. A total of 322 completed questionnaires were analyzed, and found that theoretical framework and uncovered strong links between a numbers of hypothesized antecedent and behavioral intentions. The variable which made the largest contribution to prediction of media reputation from customers is social responsibility. Moreover, fifteen qualitative interviews were conducted. The owner-managers, however, have different points of view, they have thought about their restaurants reputation, but it not come from the media. The main contribution drawn from this study is to connect the media reputation from both sides, one side being the customers and the other the owner-managers of Chinese restaurants.

Applying Geometric Dilution Of Precision Approximation To Adaptive Neural Network Learning For Precise Mobile Station Positioning

Abstract: The geometric dilution of precision is widely used as criterion for selecting the best set of the measurement devices. Some methods had been proposed to rmd the value of the Geometric Dilution of Precision (GDOP), such as using inverse matrix to solve the linear equation. But it takes a large amount of computing time to find the optimal solution. In this paper, we propose to adopt a neural network with gradient descent adaptive learning rate training algorithm to approximate the value of GDOP. The proposed two types of input/output mapping used the element in the matrix as the input data of the neural network. After finishing the training process, it can get a better approximation results with the proposed two types. The simulation result shows that proposed algorithm has lower GDOP approximation error using less Epochs than the other types. For cellular wireless communication system, it will significantly reduce the computational complexity and the training time by selecting the service base station at first with three other base stations to estimate the position of mobile station.

An analytical approach for the energy spectrum and optical properties of gated bilayer graphene

Abstract: First, we present an analytical approach to access the exact energy spectrum and wave functions of gated Bernal bilayer graphene (BBLG), with all the tight-binding parameters included. To tackle the broken mirror symmetry caused by a gated voltage (Vg) and interlayer interactions, we create a unitary transformation to reduce the Hamiltonian matrix of BBLG to a simple form, which can offer the analytical energy spectrum. The formulae generate the gated tunable energy bands and reveal that Vg changes the subband spacing, produces the oscillating bands, and increases the band-edge states. Then, we employ the analytical model to revisit the optical dipole matrix element and optical absorption spectra. In the absence of Vg, the anisotropic dipole matrix element exhibits a maximum around the point M and zero value along the high symmetry line ΓK in the first Brillouin zone. Vg effectively induces the nonzero dipole matrix element along the high symmetry line ΓK, which makes a significant contribution in the absorption spectra. Moreover, the application of Vg opens an optical gap and gives rise to a profound low-energy peak in the absorption spectra. The dependence upon the gated bias Vg for the location and height of this peak clearly emerges through the analytical model. Our exact analytical model can be further used to study the many-body effect and exciton effect on the electronic and optical properties of BBLG.