Taipei, Taiwan

Aletheia University

www.au.edu.tw
Taipei, Taiwan

Aletheia University is a private university in Tamsui, New Taipei City and Madou, Tainan in Taiwan. It was founded by George Leslie Mackay as Oxford College. It has close links to the Presbyterian Church in Taiwan, and is one of the oldest institutions of higher education in Taiwan. Wikipedia.


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Chung C.-J.,Aletheia University | Wee H.-M.,Chung Yuan Christian University
International Journal of Production Economics | Year: 2011

Due to global warming, environmental consciousness and shortening product life-cycles, more attentions have been paid to ecological protection and resource utilization. Green products and production process designs significantly influence the environment and resource re-usage. The relevant EU regulations, such as WEEE and EuP, have reduced negative effects by controlling the disposals and the resource re-usage. In this study, green product designs and remanufacturing efforts are investigated when we develop an integrated production inventory model with short life-cycles. A numerical example is provided to illustrate the theory. We have shown that new technology evolution, remanufacturing ratios and system's holding costs are critical factors affecting decision making in a green supply chain inventory control system. © 2010 Elsevier B.V. All rights reserved.


Kuo S.-Y.,Aletheia University
Composite Structures | Year: 2011

The effect of variable fiber spacing on the supersonic flutter of rectangular composite plates has been investigated using the finite element method and quasi-steady aerodynamic theory. The formulation of the location dependent stiffness and mass matrices due to nonhomogeneous material properties was derived. This study first demonstrates the flutter analysis of composite plates with variable fiber spacing. Numerical results show that the sequence of the natural mode may be altered and the two natural frequencies may be close to each other due to the fiber distribution may change the distributed stiffness and mass of the plate. Therefore, it may change the flutter coalescent modes. It is seen that the flutter boundary may be increased or decreased due to variable fiber spacing. The punch phenomenon on the flutter boundary is obvious in the absence of aerodynamic damping. © 2011 Elsevier Ltd.


Chiang W.-Y.,Aletheia University
Expert Systems with Applications | Year: 2011

This paper proposes a new procedure and an improved model to mine association rules of customer values. The market of online shopping industry in Taiwan is the research area. Research method adopts Ward's method to partition online shopping market into three markets. Customer values are refined from an improved RFMDR model (based on RFM/RFMD model). Supervised Apriori algorithm is employed with customer values to create association rules. These effective rules are suggested to apply on a customized marketing function of a CRM system for enhancing their customer values to be higher grades. © 2010 Elsevier Ltd. All rights reserved.


Huang C.-J.,Aletheia University
International Journal of Digital Content Technology and its Applications | Year: 2011

At the moment, Support Vector Machine (SVM) has been widely used in the study of stock investment related topics. Stock investment can be further divided into three strategies such as: buy, sell and hold. Using data concerning China Steel Corporation, this article adopts genetic algorithm for the search of the best SVM parameter and the selection of the best SVM prediction variable, then it will be compared with Logistic Regression for the classification prediction capability of stock investment. From the classification prediction result and the result of AUC of the models presented in this article, it can be seen that the SVM after adjustment of input variables and parameters will have classification prediction capability relatively superior to that of the other three models.


Yang M.-C.,Aletheia University
Information Sciences | Year: 2010

The use of edge-disjoint spanning trees or independent spanning trees in a network for data broadcasting has the benefits of increased of bandwidth and fault-tolerance. In this paper, we propose an algorithm which constructs n edge-disjoint spanning trees in the n-dimensional twisted cube, denoted by TQn. Because the n-dimensional twisted cube is n-regular, the result is optimal with respect to the number of edge-disjoint spanning trees constructed. Furthermore, we also show that n2 of the n edge-disjoint spanning trees constructed are independent spanning trees. This algorithm runs in time O(N log N) and can be parallelized to run in time O(log N) where N is the number of nodes in TQn. © 2010 Elsevier Inc. All rights reserved.


Chen C.-J.,Aletheia University
International Journal of Machine Learning and Cybernetics | Year: 2012

With the trend toward taller and more flexible building structures, the use of vibration control devices, passive as well as active, as means of structural protection against strong wind and earthquakes have received significant attention in recent years. A mass-damper shaking table system has been considered as means for vibration suppression to external excitation and disturbances. No explicitly system identification of the plant dynamics, no membership function and thus no fuzzification-defuzzification operation are required. For effective control performance, a neural classifier controller with genetic algorithm is developed. Compared with the conventional neural network and fuzzy controller, the neural classifier controller using genetic algorithm has been presented with the effectiveness of the vibration suppression control. Experimental results show that the neural classifier controller remains effective for building structure vibration suppression under free vibration and forced vibration excitation. © 2011 Springer-Verlag.


Chung C.-J.,Aletheia University
Computers and Industrial Engineering | Year: 2013

Abstract The challenge of supply chain management (SCM) is to have a supervision in managing operations that is critical to coordinate with partners and have high quality product. Global companies are now striving to engage in production improvement and product design efficiency to provide a good support for competition in any parts of the world. Recently, the development and improved capability of production and information technology have changed the ways in which companies and manufacturers operate. With the assist of advanced production philosophy and collaborative design and manufacturing (CDM), the quality of product and manufacturing has been notably enhanced. However, a traditional single-stage inventory model considers a case in which depletion of inventory is merely caused by a constant rare. In practice, there is an inventory loss due to deterioration and imperfect production. The purpose of this paper is to investigate the effects of stock- and warranty-dependent demand, and take the relationship among imperfect, warranty policy and inspection scheduling into consideration. An integrated two-stage production inventory deteriorating model for replenishment policy and inspection plan is developed utilizing time-weighted inventory approach. A numerical example is presented to demonstrate the theory. The results show that fixed selling rate, the holding cost and the unit inspection cost are the critical factors in applying the deteriorating inventory model. © 2012 Elsevier Ltd. All rights reserved.


Tsai C.-F.,Aletheia University
Journal of Computer and System Sciences | Year: 2015

Abstract In this paper, we propose a dynamic grey platform to modify the traditional algorithms by applying two new prediction algorithms for forecasting management. The proposed platform integrates a grey model (GM) with an exponentially weighted moving average EWMA controller known as the EGM model. The EGM model attempts to improve the forecast accuracy and efficiency. The prediction error of the EGM model is minimized by applying a dynamic genetic algorithm (DGA). The contributions of the DGA are essentially from its two features: (1) the crossover and mutation rate controller of GA parameter optimization; and (2) the variable controller of EGM background value optimization. Six benchmarking data sets have been used in simulation to evaluate the effectiveness of our proposed model. The experimental results reveal that the better prediction accuracy reduces the cost of Taiwan's green gross domestic product (GDP). © 2014 Elsevier Inc. All rights reserved.


Yang M.-C.,Aletheia University
Information Sciences | Year: 2013

Diagnosability is a critical metric for determining the reliability of a multiprocessor system. In 2005, Lai et al. proposed a new measure for the fault diagnosis of a system, i.e., conditional diagnosability, in which it is assumed that at least one of the neighbors of an arbitrary node in the system is not faulty. In this paper, we obtain a sufficient condition for a class of networks, called Matching Composition Networks (MCNs), which are conditionally t-diagnosable under the MM* model. Then, we apply the sufficient condition to show the conditional diagnosability of bijective connection (BC) networks. Finally, we show that the sufficient condition can be applied to networks other than BC networks. © 2013 Elsevier Inc. All rights reserved.


Yang M.-C.,Aletheia University
Information Sciences | Year: 2013

Diagnosability is a critical metric for determining the reliability of a multiprocessor system. In 2005, a new measure for fault diagnosis of a system, namely conditional diagnosability, was proposed to improve the number of faulty processors identified. In this paper, we study the conditional diagnosability of balanced hypercubes under the PMC model and show that the conditional diagnosability of the n-dimensional balanced hypercube is 4n - 3 for n ≥ 1. © 2012 Elsevier Inc. All rights reserved.

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