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Taitung City, Taiwan

Yang L.Y.,MingDao University | Chang C.Y.,Center for General Education | Hsu J.J.,Center for General Education | Yao K.S.,National Taitung College
Journal of Bionanoscience | Year: 2013

The plant extract (Mimosa pudica L.) is used in the in vitro intracellular synthesis of silver nanoparticles. The results showed that aqueous silver ions are reduced to solution when exposed to aqueous extract from the leaves of Mimosa pudica, thereby leading to the formation of silver hydrosol. The SEM observed that the silver nanoparticles were approximately 48 nm±10 nm in dimension. The biosynthetic nano-silver antibacterial activity was determined using the cup diffusion method against bacteria including Erwinia carotovora subsp. carotovora 3, Erwinia carotovora subsp. carotovora 7, Xanthomona axonopodis pv. vesicatoria XVT 40, and Pseudomonas aeruginosa etc. The most significant antibacterial activity was found against E. carotovora subsp. carotovora 7, X. axonopodis pv. vesicatoria XVT 40 and P. aeruginosa observed in comparison to the positive controls. Moreover, the minimum inhibitory concentrations (MIC) were approximately 1.7 μM, 3.4 μM, and 1.7 μM, respectively. Copyright © 2013 American Scientific Publishers. All rights reserved. Source

Lin W.M.,National University of Kaohsiung | Tsai C.C.,National University of Kaohsiung | Lin C.H.,National Taitung College
IET Generation, Transmission and Distribution | Year: 2011

The article utilises the analogy in dynamic equations between a mechanical and an electrical system to convert a turbine-generator mechanical model to an equivalent electrical circuit model. Based on the synchronous generator's dynamic equations and the electromagnetic torque equation, an equivalent electrical interface circuit was derived. By using the interface circuit, the circuit model of synchronous generator and the equivalent electrical circuit model of turbine-generator mechanism can thus be combined into an integrated circuit model. The integrated circuit model is helpful for analysing the interactions between the mechanical and electrical systems for a steam turbine generator unit. Based on the integrated circuit model, the article has made a comparative study between a small and a large steam turbine-generator unit. The focus was on torsional mode frequencies, and the frequency scanning and eigen-analysing approaches were used. The result shows that torsional mode frequencies can be changed by means of the electromechanical integration. Moreover, the small unit was more affected than the large one. © 2011 The Institution of Engineering and Technology. Source

Lin C.-H.,National Taitung College
Journal of Marine Science and Technology (Taiwan) | Year: 2015

In this paper, dynamics of a high-penetration, no-storage wind-diesel (HPNSWD) system subjected to line faults are studied. It is found that the effect of induction generator electrical parameters on generator electromagnetic torque, system frequency and generator terminal voltage is significant, especially for the rotor resistance, which is able to significantly affect all the three target performances. Therefore, it will be the most effective way to improve the system dynamics by controlling the rotor resistance. It is also found that the system dynamics would be significantly improved by disposing a distribution transformer. However, the effectiveness depends on the installation position. A distribution transformer installed at the generator side will just reduce the generator terminal voltage and electromagnetic torque disturbance. If it is installed at the load side, all of the three system performances can be significantly improved. Source

Chang F.M.,National Taitung College
Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics | Year: 2011

In a Decision Support System (DSS), data are used to make decision. When data are large, the accuracy of prediction is high. However, in many cases, data on hand is not enough but the decision has to be made. It causes a small data set learning problem. The way to solve this kind of problem is to improve forecast accuracy by current data. Adding some approximate data for granular computing can improve the forecast accuracy. In this article, Mega-fuzzification method that is based on Neuro-fuzzy method is first applied to add artificial data to improve learning accuracy. Considering the data bias phenomenon that often occurs in small data sets, this study provides a method that is based on the computational learning and probably approximately correct (PAC) theories for its adjustment as well as determines the assessment of the data domain. In addition, rough set method is used to help for Mega-fuzzification method to solve the problem of large number of attribute may affect the learning efficiency of Mega-fuzzification learning. © 2011 IEEE. Source

Kuo H.-T.,National Pingtung University of Science and Technology | Yeh J.Z.,Northwestern University | Jiang C.-M.,National Taitung College | Wu M.-C.,National Pingtung University of Science and Technology
Journal of Immunological Methods | Year: 2012

The objective of this study was to develop a magnetic particle-linked monoclonal antibody to hCG β for immunosorbent assay of human chorionic gonadotropin (hCG) with improved detection sensitivity. Monoclonal antibody against hCG β was found to be optimally cross-linked to the superparamagnetic particles (SPIO) using EDC and NHS as cross-linking reagents. This superparamagnetic particle-linked monoclonal antibody was able to concentrate hCG from a tested solution for further ELISA assay using horse radish peroxidase-labeled monoclonal antibody against hCG β. This hybrid technique had greatly decreased the detection limit to 0.1. mIU/mL, making an early detection of pregnancy possible. With an improved sensitivity and simple operation, the magnetic particle-linked anti hCG β antibody for immunoassay of human chorionic gonadotropin (hCG) has a great potential to supersede the traditional ELISA for pregnancy diagnosis. © 2012 Elsevier B.V.. Source

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