Hsinchu, Taiwan

Hsuan Chuang University

Hsinchu, Taiwan

Hsuan Chuang University is a private Buddhist university in Hsinchu, Taiwan. Founded in 1997 by the Ven. Liao Zhong , and named for the Tang Dynasty monk Xuanzang, the school was promoted to university status in 2004. It offers bachelors and masters degrees, mainly in humanities subjects. Wikipedia.

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Liao W.-K.,National Chiao Tung University | Lai Y.-H.,Hsuan Chuang University
IEEE Transactions on Mobile Computing | Year: 2011

We propose a scheme called Type-Aware Error Control (TAEC) to provide robust interactive video services over time-varying wireless channels. Basically, TAEC explores the temporal dependence of video frames by pushing out the lower impact frames. In doing so, queuing delay is controlled and the important frame is retransmitted multiple times. We consider the application of the nonstationary stochastic control to further improve the wireless system throughput by exploring the multiuser diversity gain. The techniques involved in our proposed solution consist of constructing a Markov model, reducing the number of parameters estimated, and avoiding the state explosion problem. The provisioning of immediate bandwidth guarantee is another feature of TAEC, i.e., when exploring the multiuser diversity gain, the users share their reserved bandwidth only if the perceived video qualities are acceptable. As shown in the simulation, TAEC improves the perceived video quality in terms of luminance PSNR when compared to other schemes. © 2011 IEEE.

Chen C.-C.,Tamkang University | Tsai Y.-H.,Hsuan Chuang University
Journal of Systems and Software | Year: 2011

This paper presents an adaptive block sized reversible image watermarking scheme. A reversible watermarking approach recovers the original image from a watermarked image after extracting the embedded watermarks. Without loss of generality, the proposed scheme segments an image of size 2 N × 2 N adaptively to blocks of size 2 L × 2 L, where L starts from a user-defined number to 1, according to their block structures. If possible, the differences between central ordered pixel and other pixels in each block are enlarged to embed watermarks. The embedded quantity is determined by the largest difference in a block and watermarks are embedded into LSB bits of above differences. Experimental results show that the proposed adaptive block size scheme has higher capacity than conventional fixed block sized method. © 2010 Elsevier Inc. All rights reserved.

Tsai Y.-H.,Hsuan Chuang University
International Journal of Innovative Computing, Information and Control | Year: 2010

Image thresholding is one of the most powerful techniques for image segmentation, but it is not always satisfactory in applications under uneven illuminations. Adaptive image thresholding is used to find the optimal window for solving the illumination problem. In this paper, a novel window selection method for adaptive local thresholding is proposed. Based on simulated annealing, the proposed algorithm searches the optimal window among partitioned subimages on the quadtree data structure from bottom up. It can be applied to other existing methods to improve the performance of image thresholding. Experimental results show the efficiency of the proposed method. © 2010 ISSN 1349-4198.

Sung C.,Hsuan Chuang University
Proceedings of the 2014 9th International Conference on Communications and Networking in China, CHINACOM 2014 | Year: 2015

The article provides a few observations of the impact of national standardization on the telecommunication industry's QoS and technology development. © 2014 IEEE.

Huang J.-Y.,Hsuan Chuang University
Journal of Forensic Psychiatry and Psychology | Year: 2016

Rape committed during adolescence is a vital indicator for predicting the propensity of committing rape in adulthood. Moreover, although numerous studies related juvenile rape have been proposed in Western countries, most of these studies have focused on the impact of personal factors, and have neglected to examine the impact of rape myths. Therefore, in the present study, we investigated the relationship between rape myths and male juvenile rape. This study used an anonymous self-report questionnaire to collect data. Participants included 466 male middle- and high-school students in Taiwan. The results showed that rape myths are associated with juvenile rape. Furthermore, rape victim myths were the myth category relating to juvenile rape, rather than rape perpetrator myths. Among the rape victim myths, the dimension, women secretly wish to be raped, had the strongest association. Discussions pertaining to implications, applications, limitations, and future research are included in the present study. © 2016 Informa UK Limited, trading as Taylor & Francis Group.

Chiang C.-H.,Hsuan Chuang University
2015 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2015 | Year: 2015

This paper presents a novel vision-based coverage navigation approach for trash collection task in which a robot has to search and collect trash and then deposit trash into trash bin. The proposed coverage navigation approach is composed of boustrophedon Path-Planner and simple-rule based Navigator. The former employs simple back-and-forth searching strategy to find pieces of litter. The later enables a robot moves to a destination from a given start position. The random Path-Planner, obstacle-following based Navigator, and genetic algorithm based Navigator are developed for comparing purpose. Simulation results showed that the proposed method has better performance in terms of path-length, number of robot's turns, and percentage of large-cell overlap. © 2015 IEEE.

Chang K.-L.,Hsuan Chuang University
British Food Journal | Year: 2013

Purpose: The aim of this paper is to integrate the analytic network process (ANP) and a technique for order preference by similarity to the ideal solution (TOPSIS) to help Taiwanese managers in century-old food industry firms make better decisions for new product development (NPD) project selection. Design/methodology/approach: The balanced scorecard (BSC) which links financial and non-financial, tangible and intangible, inward and outward factors can provide an integrated viewpoint for decision makers in selecting optimal NPD projects. Considering the interrelated perspectives and criteria of BSC, ANP is used to obtain the weights of the criteria. TOPSIS is used for simplifying ANP to rank the alternatives. After reviewing the literature on BSC, the study collected criteria for selecting optimal NPD projects. Likert nine-point scale questionnaires based on the BSC criteria were received from 34 senior executives to obtain the importance of criteria. Findings: Based on the geometric mean values, the top 12 criteria are: Capabilities, Well-being, Satisfaction, Lead-time, Risk, Facility, Reputation, Loyalty, New customer, Market, Profitability and New market to structure the hierarchy for century-old Taiwanese food business NPD project selection. Practical implications: Using the hierarchy based on four perspectives and 12 important criteria, century-old Taiwanese food businesses may select the optimal NPD projects more effectively. Moreover, the practical application of the proposed approach illustrated is generic and also suitable for century-old Taiwanese food businesses. Originality/value: In 2008, Taiwan External Trade Development Council (TAITRA) established an association to help century-old businesses to maintain growth and competitive advantage. To maintain continuous competitive advantage, developing new products is necessary. However, NPD is a risky process. The vital issue in NPD is how to select the optimal projects for new products. The majority of century-old Taiwanese businesses are in the food industry. This paper contributes to a more effective selection of optimal NPD projects for century-old Taiwanese food firms. © Emerald Group Publishing Limited.

Chiang C.-H.,Hsuan Chuang University
Lecture Notes in Electrical Engineering | Year: 2013

The well-known ANFIS (adaptive-network-based fuzzy inference system) has demonstrated good performance and applicability. This chapter presents a quantum version of ANFIS model, namely, qANFIS, whose network structure is similar to ANFIS but it is with quantum membership functions (qMF). A hybrid learning procedure is proposed to update the parameters. First, we develop a genetic algorithm with trimming operator to determine the number of quantum levels in qMF. Second, the least squares estimate method is applied to update the consequent parameters. Finally, we introduce two methods to update the qMF parameters, the gradient descent and the quantum-inspired particle swarm optimization methods, and one of them is selected for training purpose. The simulation results of path planning had demonstrated that the proposed method could reach satisfactory performance and smaller error measure as compared with ANFIS. © 2013 Springer Science+Business Media New York.

Tsai Y.H.,Hsuan Chuang University
Pattern Recognition Letters | Year: 2012

Salient point detection in images is very useful for image processing applications like image compression, object detection and object recognition. It is also frequently used to represent local properties of the image in content-based image retrieval (CBIR). Many research results focused on finding the most salient points in the image. However, the large number of salient points and continuous point sets are still the problems. Based on the saliency values from wavelet-based methods, this paper presents a hierarchical algorithm for selecting the most salient points such that they cannot only give a satisfying representation of an image, but also make the image retrieval systems more efficiently. Under a top-down approach from quadtree data structure, the algorithm keeps the most salient points in each quadrant according to the percentage of saliency values in the whole image. The performance of the proposed method was evaluated with the spreading measure and retrieval rate from a CBIR system. In this experiment, it shows that our method is robust and the extracted salient points provide efficient retrieval performance comparing with two wavelet-based point detectors. © 2012 Elsevier B.V. All rights reserved.

Tseng K.-J.,Hsuan Chuang University
International Journal of Mobile Communications | Year: 2013

As the mobile telecommunications market saturates in recent years service providers need to change their marketing strategies and continuously upgrade their service quality to maintain customer satisfaction. This study used the hierarchical analysis structure to assess the customers' reuse intention of mobile services, based on the factors of service quality, product function and product price. As there were complex interdependent relationships between the above-mentioned factors, this study employed Analytic Network Process (ANP) for analysis to further assess customers' reuse intention of mobile telecommunications services. The research findings suggested that when the service quality, product function and product prices of the mobile telecommunications industry are taken into consideration, the weight of customers' reuse intention is higher than that of unwilling to reuse. © 2013 Inderscience Enterprises Ltd.

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