De Lin Institute of Technology

Taipei, Taiwan

De Lin Institute of Technology

Taipei, Taiwan
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Lin W.Y.,De Lin Institute of Technology | Hsiao K.M.,National Chiao Tung University
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science | Year: 2017

A one-phase synthesis method using heuristic optimization algorithms can solve the dimensional synthesis problems of path-generating four-bar mechanisms. However, due to the difficulty of the problem itself, there is still room for improvement in solution accuracy and reliability. Therefore, in this study, a new differential evolution (DE) algorithm with a combined mutation strategy, termed the combined-mutation differential evolution (CMDE) algorithm, is proposed to improve the solution quality. In the combined mutation strategy, the DE/best/1 operator and the DE/current-to-best/1 operator are respectively executed on some superior parents and some mediocre parents, and the DE/rand/1 operator is executed on the other inferior parents. Furthermore, the individuals participating in the three mutation operators are randomly selected from the entire set of parents. The proposed CMDE algorithm with the three different search modes possesses better population diversity as well as search ability than the DE algorithm. The effectiveness of the proposed CMDE algorithm is demonstrated using five representative problems. Findings show a marked improvement in solution accuracy and reliability. The most accurate results are obtained with an approximate combination ratio for the three mutation operators. © IMechE 2016.


Kuo R.J.,National Taiwan University of Science and Technology | Syu Y.J.,Vanguard International Semiconductor Corporation | Chen Z.-Y.,De Lin Institute of Technology | Tien F.C.,National Taipei University of Technology
Information Sciences | Year: 2012

Although the algorithms for cluster analysis are continually improving, most clustering algorithms still need to set the number of clusters. Thus, this study proposes a novel dynamic clustering approach based on particle swarm optimization (PSO) and genetic algorithm (GA) (DCPG) algorithm. The proposed DCPG algorithm can automatically cluster data by examining the data without a pre-specified number of clusters. The computational results of four benchmark data sets indicate that the DCPG algorithm has better validity and stability than the dynamic clustering approach based on binary-PSO (DCPSO) and the dynamic clustering approach based on GA (DCGA) algorithms. Furthermore, the DCPG algorithm is applied to cluster the bills of material (BOM) for the Advantech Company in Taiwan. The clustering results can be used to categorize products which share the same materials into clusters. © 2012 Elsevier Inc. All rights reserved.


Wen B.,De Lin Institute of Technology
Agro Food Industry Hi-Tech | Year: 2017

In this study, data mining technology is applied to the technical analysis of a basketball match to improve efficiency and accuracy in data acquisition and analysis. Database construction and data mining allow for an improved understanding of each player in action on the court, the acquisition of key information about each player's movement during a basketball match, and the identification of the strengths and weaknesses of the players. The coaches can use the acquired information to reasonably assign the positions of players on the court as well as their duties. Furthermore, the information can help the players understand themselves better. Thus, the applying data mining can provide useful information during training and competition, and this information, in turn, can provide important guidance for both players and coaches.


Hsu P.H.,De Lin Institute of Technology | Wee H.M.,Chung Yuan Christian University | Teng H.M.,Institute of Business Administration
International Journal of Production Economics | Year: 2010

The objective of this study is to develop a deteriorating inventory policy when the retailer invests on the preservation technology to reduce the rate of product deterioration. A solution procedure is presented to determine an optimal replenishment cycle, shortage period, order quantity and preservation technology cost such that the total profit per unit time is maximized. A numerical example and sensitivity analysis are presented to illustrate the model. © 2009 Elsevier B.V. All rights reserved.


Chen Y.-T.,De Lin Institute of Technology
Journal of Marine Science and Technology | Year: 2010

This study utilizes silver nano-fluid filled flat heat pipe. It is aimed at effect of various concentrations on flat heat pipe thermal performance by air-cooling testing equipment. The particles used in these experiments were silver particles 35 nm in size. The base working fluid was pure-water. Nano-fluids were prepared using a two-step method. In the experiment, the thickness and length of the heat pipe are 3 mm and 200 cm, respectively. An experimental system was set up to measure the temperature distribution of heat pipes and calculate the thermal resistance by equation R = △TlQ. At a same charge volume, the thermal resistance of heat pipe filled nano-fluid was lower than DI water.


Hwang H.-E.,De Lin Institute of Technology
Optics Communications | Year: 2011

A novel method for image encryption and decryption based on Hartley transform in the Fresnel transform domain is presented. Different from the conventional method which requires lens to perform the Fourier transform for achieving Hartley transform, the proposed new optical architecture of Hartley transform is based on the Fresnel diffraction which requires no Fourier transform lenses. The position coordinate as well as the wavelength in the Fresnel transform is used as encoding keys that can ensure the sufficient information security. The main advantages of this proposed image security system are that it uses fewer optical devices and the decryption scheme is straightforward and more secure than the previous works. © 2011 Elsevier B.V. All rights reserved.


Lee L.-W.,De Lin Institute of Technology
Expert Systems with Applications | Year: 2012

In this paper, we present a new method for group decision making with incomplete fuzzy preference relations based on the additive consistency and the order consistency. We estimate unknown preference values based on the additive consistency and then construct the consistency matrix which satisfies the additive consistency and the order consistency simultaneously for aggregation. The existing group decision making methods may not satisfy the order consistency for aggregation in some situations. The proposed method can overcome the drawback of the existing methods. It provides us with a useful way for group decision making with incomplete fuzzy preference relations based on the additive consistency and the order consistency. © 2012 Published by Elsevier Ltd. All rights reserved.


Chen S.-M.,National Taiwan University of Science and Technology | Lin T.-E.,National Taiwan University of Science and Technology | Lee L.-W.,De Lin Institute of Technology
Information Sciences | Year: 2014

In this paper, we present a new method for group decision making using incomplete fuzzy preference relations based on the additive consistency and the order consistency with consistency degrees to overcome the drawbacks of Lee's method [15], where Lee's method cannot obtain the correct preference order of alternatives in some situations. First, we estimate unknown preference values of incomplete fuzzy preference relations based on the additive consistency. Then, we construct modified consistency matrices of experts which satisfy the additive consistency and the order consistency simultaneously. We also prove some properties of the constructed modified consistency matrices. Finally, based on the constructed modified consistency matrices of experts, we present a new method for group decision making. The proposed method provides us with a useful way for group decision making using incomplete fuzzy preference relations based on the additive consistency and the order consistency with consistency degrees. © 2013 Elsevier Inc. All rights reserved.


Lee L.-W.,De Lin Institute of Technology | Chen S.-M.,National Taiwan University of Science and Technology
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2013

This paper presents a new fuzzy decision making method based on likelihood-based comparison relations of hesitant fuzzy linguistic term sets. We also present a similarity measure between hesitant fuzzy linguistic term sets. The proposed method is more simple for fuzzy decision making than the method presented in [18]. It provides us with a useful way for decision making in a fuzzy environment. © 2013 Springer-Verlag.


Lin W.-Y.,De Lin Institute of Technology
Mechanism and Machine Theory | Year: 2010

A new real-coded evolutionary algorithm is proposed for application to path synthesis of a four-bar linkage. This new evolutionary algorithm is obtained by combining differential evolution (DE) with the real-valued genetic algorithm (RGA). We term this the "GA-DE hybrid algorithm." The only difference between the proposed algorithm and RGA is in the content of the crossover. The crossover operation in the RGA is replaced by differential vector perturbation, with the best individual or some excellent individuals as the base vectors. Thus, both the main perturbation of differential vectors and the minor perturbation of mutation are used as genetic operators in the GA-DE hybrid algorithm. The efficiency and accuracy of the proposed method are tested using four cases. Findings show that much more accurate solutions for three cases are obtained with this method than those obtained using other evolutionary methods as discussed in the literature. A moveable stick diagram of the synthesized mechanisms can be obtained using the 2D sketch feature of SolidWorks®. This can be used to check whether the synthesized mechanisms encounter circuit defects or are incapable of motion. © 2010 Elsevier Ltd. All rights reserved.

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