Chung Yuan Christian University

About: Chung Yuan Christian University is a education organization based out in Taoyuan City, Taiwan. It is known for research contribution in the topics: Membrane & Fuzzy logic. The organization has 9819 authors who have published 11623 publications receiving 213139 citations. The organization is also known as: Tiong-gôan-tāi-ha̍k & CYCU.

Design a Neural Network for Features Selection in Non-intrusive Monitoring of Industrial Electrical Loads

Abstract: This paper proposes to compare the performance of neural network classifiers between back propagation (BP) and learning vector quantization (LVQ) for pattern analyses of features selection in a non-intrusive load monitoring (NILM) system. Load recognition for identifying loads being connected and disconnected is applied to a NILM by using a neural network, especially for industrial electrical loads, even though some loads are activated at the nearly same time. In order to accurately decompose the aggregate load into its components, a feature-based model for describing the signatures of individual appliances and load combinations is used. The model will suggest the certain signatures which can be detected for all loads in order to indicate the activities of the separate components. To verify the performance of the model for the features selection, the data sets of the electrical loads and the load recognition techniques apply an electromagnetic transient program (EMTP) and a neural network, respectively. The effectiveness and computation equipment of load recognition are analyzed and compared by using the back propagation classifier and the learning vector quantization classifier. To obtain a maximum recognition accuracy rate, the calculation of the turn-on transient energy signature employs a window of samples, At, to adaptively segment a transient representative of a class of loads. Experiments performed with a variety of model data sets which reveal the back propagation classifier is superior to the learning quantization classifier in the effectiveness and computation equipment of load recognition.

Surface Zwitterionization of Titanium for a General Bio-Inert Control of Plasma Proteins, Blood Cells, Tissue Cells, and Bacteria

Abstract: Surface coating of antifouling materials on the substrates offers convenient strategies and great opportunities to improve their biocompatibility and functions of host substrates for wide biomedical applications. In this work, we present a general surface zwitterionization strategy to improve surface biocompatibility and antifouling properties of titanium (Ti) by grafting zwitterionic poly(sulfobetaine methacrylate) (polySBMA). This method also demonstrates its general applicability to graft polySBMA onto Ti surface using different anchoring agents of dopamine and silane. The resulting polySBMA grafted from dopamine- (pTi-D-pSBMA) and silane-anchored titanium surfaces (pTi-Si-pSBMA) surfaces exhibit superlow fouling ability to highly resist the adhesions of plasma proteins, platelets, erythrocytes, leukocytes, human fibroblast (HT1080), E. coli, and S. epidermidis. The interfacial properties of the surface-modified Ti surfaces are analyzed and correlated with their antifouling properties. The new method and materials provide a more general, flexible, and robust way to produce an excellent nonfouling surface with adjustable interfacial structures of grafted polymers, which hopefully can be expanded to wider applications based on both the structure and surface superiorities.

Polyaniline/carbon nanotube nanocomposite electrodes with biomimetic hierarchical structure for supercapacitors

Abstract: Polyaniline (PANI)/multi-walled carbon nanotube (MWNT) nanocomposite films with three-dimensional architectures on the surface were prepared using fresh plant leaves as a template through the nanocasting technique. The biomimetic surface morphology of the PANI nanocomposite electrodes, including multiscale papilla-like and nanoscale texture, were successfully replicated from Xanthosoma sagittifolium leaves. The morphology, roughness and dispersed MWNTs of the PANI/MWNT nanocomposites were characterized using X-ray diffraction, scanning electron microscopy, transmission electron microscopy and atomic force microscopy. It was found that the well-dispersed MWNTs and the multiscale morphology formed a uniform nanocomposite, with an observed larger surface area, high specific capacitance and good cycling stability during the charge–discharge process. A specific capacitance as high as 535 F g−1 at a current density of 1 A g−1 was achieved for a 5 wt% MWNT loading coupled with the high roughness of the PANI nanocomposite, and the capacitance was maintained with the increment of the current density to 3 A g−1. These easily fabricated PANI nanocomposite electrodes show great potential for energy storage applications.