Entity

Time filter

Source Type

Taoyuan, Taiwan

Yuan Ze University is a private university located in Taoyuan, Taiwan. Established in 1989, it has campuses in Zhongli District, Taoyuan; Taipai; and Bade District, Taoyuan.This university provides scholarship to students for Masters degree.In 2012, Yuan Ze University ranked 70th in Times Higher Education World University Rankings's "top 100 universities under 50 years old" category, but slipped to 94th in 2013, and did not make the cut in 2014. Yuan Ze ranked within 350-400th place in the 2011-2012 World University Ranking category, but has not appeared on the list again in subsequent years. Wikipedia.


Li Y.,Yuan Ze University
IEEE Transactions on Information Theory | Year: 2010

A construction of general quadrature amplitude modulation (QAM) Golay complementary sequences based on quadrature phase shift keying Golay-Davis-Jedwab sequences (GDJ sequences) is described. Existing constructions of 16- and 64-QAM Golay sequences are extended to 4 q-QAM sequences of length 2m, for q ≥ 1, m ≥ 2. This construction gives [(m + 1)42(q - 1) - (m + 1)4(q - 1) + 2q - 1](m! / 2)4(m + 1) Golay complementary sequences. A previous offset pair enumeration conjecture for 64-QAM Golay sequences is proved as a special case of the enumeration for 4q-QAM Golay sequences. When used for orthogonal frequency-division multiplexing signals, the peak-to-mean envelope power ratio upper bound is shown to be 6(2q- 1)/ (2q + 1), approaching 6 as the QAM constellation size increases. © 2006 IEEE. Source


Shih H.-C.,Yuan Ze University
Pattern Recognition | Year: 2013

This study proposed a precise facial feature extraction method to improve the accuracy of gender classification under pose and illumination variations. We used the active appearance model (AAM) to align the face image. Images were modeled by the patches around the coordinates of certain landmarks. Using the proposed precise patch histogram (PPH) enabled us to improve the accuracy of the global facial features. The system is composed of three phases. In the training phase, non-parametric statistics were used to describe the characteristics of the training images and to construct the patch library. In the inference phase, the choice of feature patch from the library needed to approximate the patch of the testing image was based on the maximum a posteriori estimation. In the estimation phase, a Bayesian framework with portion-oriented posteriori fine-tuning was employed to determine the classification decision. In addition, we developed the dynamic weight adaptation to obtain a more convincing performance. The experimental results demonstrated the robustness of the proposed method. © 2012 Elsevier Ltd. Source


Although different educational agents have been proposed to facilitate student learning, most of them operate from a "smart" (i.e.; intelligent and autonomous) perspective. Recently, a so-called "non-smart" perspective is also attracting increasing interest, and is now regarded as a topic worthwhile of researching. To this end, this study utilizes a reciprocal caring approach for the development of a pet-styled educational agent, named My-Pet, designed to help elementary school students learn Chinese idioms. The effects of the reciprocal caring approach are evaluated in two experiments. The results indicate that the My-Pet system could enhance students' relationship with educational agents, but do not contribute to students' learning achievement and efficiency. Based on these results, some implications on the value aspect of motivation and reflections on the further design of educational agents are discussed. © 2012 Elsevier Ltd. All rights reserved. Source


A novel adaptive output recurrent cerebellar model articulation controller (AORCMAC) is utilized to control wheeled inverted pendulums (WIPs) that have a pendulum mounted on two coaxial wheels. This paper focuses mainly on adopting a self-dynamic balancing control strategy for such WIPs. Since the AORCMAC captures system dynamics, it is superior to conventional CMACs in terms of efficient learning and dynamic response. The AORCMAC parameters are adjusted online using the dynamic gradient descent method. The learning rates of the AORCMAC are determined using an analytical method based on a Lyapunov function, such that system convergence is achieved. The variable and optimal learning rates are derived to achieve rapid tracking-error convergence. A WIP standing control is utilized to experimentally verify the effectiveness of the proposed control system. Experimental results indicate that WIPs can stand upright stably with external disturbances via the proposed AORCMAC. © 2006 IEEE. Source


Ng C.S.-P.,Yuan Ze University
Information and Management | Year: 2013

This study investigates the moderating effect of culture and the mediating effect of trust in a social network community on the relationship between social interactions and purchase intention. Trust transference theory, social interactions, and Hofstede's cultural dimensions are considered. The findings from the research support the moderating effect of culture and the mediating role of trust in a social network community on the relationship between social interactions (in terms of closeness and familiarity) and intention to purchase in social commerce environments. In addition, the mediating effect of trust in a social network community is conditional on culture. The findings also suggest that trust in a social network community may be attributed to the closeness and familiarity developed among its members resulting from social interactions. The results presented herein are in line with the trust transference theory. The empirical study results also suggest that social commerce market penetration in East Asia may have relatively fewer barriers to overcome and be more likely to succeed than in the Latin America region. © 2013 Elsevier B.V. All rights reserved. Source

Discover hidden collaborations