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.
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.
Shih H.-P.,Hsuan Chuang University
European Journal of Information Systems | Year: 2017
Consumer-generated self-disclosure is better than firm-generated advertising and sales reports in increasing contact opportunities and also more credible for firms to foster alignment with future market expectations. Previous research mostly assesses online self-disclosure from the rational approach of anticipated benefits and privacy risks without considering the “privacy paradox” phenomenon (users behave contrarily to privacy concern) in social networking sites (SNSs). We develop a theoretical model, grounded in constraint-based (lock-in) and dedication-based (trust-building) mechanisms and social identity theory, to predict online self-disclosure. We test the proposed theoretical model by surveying 395 consumers with participation experience in an online SNS. Different from the rational approach behind personalization, we advance knowledge on how to apply social identity, as well as constraint-based and dedication-based mechanisms, to motivate online self-disclosure induced by consumers. We provide theoretical and practical insights based on our research findings for managing the motivational mechanisms of online self-disclosure. © 2017 Palgrave Macmillan UK
Shih W.C.,Hsuan Chuang University
Clothing and Textiles Research Journal | Year: 2017
Global clothing production has given rise to fast fashion strategies adopted by the majority of fashion retailers. However, there is a production network located in London, one of the most expensive areas in the world. The Savile Row tailors using craft techniques slow by nature have never outsourced production to remain competitive. In line with the resource-based view, the relational view, and global production networks theories, the authors devise a conceptual framework as they seek to explore how competitiveness can be achieved within a slow production network. A single case study of London’s Savile Row tailoring operations is adopted. This self-reliant network has managed to acquire capabilities and specialized knowledge and transform them into core competences, thus generating competitiveness. The perennial values of this slow craft and its recent international revival secure the tailors’ longevity. © 2017, © The Author(s) 2017.
Sung C.,Hsuan Chuang University
Journal of Internet Technology | Year: 2017
This article will provide an analysis of the technical safeguards in current privacy and personal data protection regulations regarding cybersecurity. In particular, this article will focus on specific legislation from the United States (US) and the European Union (EU), including US federal laws and the EU Commission rules related to privacy and personal data protection in cybersecurity matters.
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.
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.
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.