Chen T.P.,Fortune Institute of Technology
Science and Technology of Welding and Joining | Year: 2010
The main purpose of this paper is to determine the optimum operating conditions of friction stir welding dissimilar metals joints, namely AA6061 aluminium alloy and SS400 low carbon steel. The optimum operation is the combination of four mainly controllable process parameters for the best quality of uncontrollable parameters, such as both interface and welded zone impact values. In this paper, the V-notch impact value represents the interface toughness and the C-notch impact value for welded zone toughness. Moreover, the possible failure type can be analysed by observing the fractured surface after impact test. The best bending toughness of dissimilar metals joints is produced by the combination of the tool rotation speed of 550 rev min-1, the transverse speed of 0•9 mm s-1, the tool tilting backward 2° angles, and the tool pin diameter of 6 mm. © 2010 Institute of Materials, Minerals and Mining.
Liao G.-C.,Fortune Institute of Technology
International Journal of Electrical Power and Energy Systems | Year: 2014
Air-conditioning load forecasting accuracy precludes high efficacy air-conditioning operation, and is also a key advantage in developing Smart Microgrid (SMG) power generating system control. The Wavelet Neural Network (WNN) was adopted as a principle element in air-conditioning load forecasting with Improved Differential Evolution Algorithm (IDEA) as an optimizing method for adjusting WNN parameters. This approach has replaced the formal feedback method used in solving network parameters. IDEA is an optimizing technique with simple calculation and fewer adjustable parameters, allowing the optimum solution for the entire system to be acquired more accurately and rapidly. After solving the optimum parameters WNN is further applied to accomplish air-conditioning load forecasting. A Fuzzy Expert System is adopted as an adjustment measure for special conditions, allowing ideal forecasting results to be reached. This study made practical comparisons among the generally applied methods for optimizing air-conditioning forecasting, such as the Artificial Neural Network (ANN), Evolutionary Programming-Artificial Neural Network (EP-ANN), Genetic Algorithm-Artificial Neural Network (GA-ANN), Ant Colony Optimization-Artificial Neural Network (ACO-ANN) and Particle Swarm Optimization-Artificial Neural Network (PSO-ANN), to prove the advantages and applicability of the proposed method. © 2014 Elsevier Ltd. All rights reserved.
Chen L.-S.,Fortune Institute of Technology
Library Collections, Acquisition and Technical Services | Year: 2010
This paper aims to integrate a library system so that it becomes intelligent. We use swarm intelligence to develop friendly human-computer interface software for readers using a personal or notebook computer. We program the system and software with Extensible Markup Language (XML) and C Sharp language. The kernel library automatically communicates with other libraries by agents, so readers can search from the closest library. This study adds only one component to the kernel library, and the other libraries do not add this component. They maintain their original status. Readers do not use a browser; they directly communicate with the library search system, saving much time. Readers without IT skills can also easily search for books in the library system. © 2009 Elsevier Ltd.
Yen H.-C.,Fortune Institute of Technology
IEEE Transactions on Industrial Electronics | Year: 2010
This paper proposes a novel topology to drive the cold cathode fluorescent lamps (CCFLs) for liquid crystal displays (LCDs) in a direct-type backlight module. The topology is capable of driving an even number of lamps with identical current without additional balancing circuits, thereby significantly reducing the display's size, weight, and cost. Aiming at alleviating the influence of parasitic capacitance and thus balancing the lamp currents and light output, the proposed topology comprises series CCFLs and the secondary sides of transformers, takes the leakage inductances of the transformer and the parasitic capacitances of the metal back-plank as a resonance tank, and provides both ends of lamps the voltages of equal magnitude and opposite phase. A prototype of the multi-CCFLs driver is designed and built for a backlight module with 14 lamps in a 32-in LCD. Experimental results demonstrate the effectiveness and feasibility of the current balance topology. © 2010 IEEE.
Lin K.-J.,Fortune Institute of Technology
Computers and Mathematics with Applications | Year: 2012
This paper addresses stabilizing a class of fuzzy control systems with a guaranteed H∞ control performance via a new descriptor system approach. Based on the sector nonlinearity concept of Tanaka and Wang (2001) , the uncertain nonlinear system can be exactly represented by T-S fuzzy models. Then, we propose using the composite state and output feedback (CSAOF) fuzzy control for the control design. A new descriptor fuzzy system will be represented in this paper. Based on the Lyapunov stability theorem and the linear matrix inequality (LMI) tool, we solve the controller gain matrices, some positive constants and some common positive-definite matrices. Then, we derive two sufficient conditions to stabilize the uncertain fuzzy control systems with guaranteed H∞ control performance. Moreover, the developed H∞ criterion guarantees that the influence of external disturbance is as small as possible. A practical system is given to illustrate the validity of the proposed scheme. © 2011 Elsevier Ltd. All rights reserved.