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.

The Construct and Measurement of Peace of Mind

Abstract: Previous studies have shown that Asian American or Chinese individuals value low-arousal positive affect and a harmonious state of happiness more than European Americans do. However, the affective component of subjective well-being has mostly been defined as the presence of positive affect and the absence of negative affect. This definition emphasizes the importance of hedonic pleasure but fails to include the affect valued in Chinese culture. The present study developed the construct of peace of mind to describe the affective well-being valued in Chinese culture. Peace of mind was defined as an internal state of peacefulness and harmony. To develop a measure to assess peace of mind, three studies were conducted. Study 1 developed the Peace of Mind Scale (PoM), Study 2 established its validity as an affective well-being measure, and Study 3 found that individuals from Chinese cultures score higher on this scale than those from Western cultures. The results indicate that the PoM has good reliability and validity for measuring affective well-being. The cross-cultural validation also found that Taiwanese individuals scored higher on the PoM than European Americans, which provides further evidence of good construct validity of the PoM.

Optimal Feature Selection for Power-Quality Disturbances Classification

Abstract: This paper proposes an optimal feature selection approach, namely, probabilistic neural network-based feature selection (PFS), for power-quality disturbances classification. The PFS combines a global optimization algorithm with an adaptive probabilistic neural network (APNN) to gradually remove redundant and irrelevant features in noisy environments. To validate the practicability of the features selected by the proposed PFS approach, we employed three common classifiers: multilayer perceptron, k-nearest neighbor and APNN. The results indicate that this PFS approach is capable of efficiently eliminating nonessential features to improve the performance of classifiers, even in environments with noise interference.

Thick-film textile-based amperometric sensors and biosensors

Abstract: The incorporation of amperometric sensors into clothing through direct screen-printing onto the textile substrate is described. Particular attention is given to electrochemical sensors printed directly on the elastic waist of underwear that offers tight direct contact with the skin. The textile-based printed carbon electrodes have a well-defined appearance with relatively smooth conductor edges and no apparent defects or cracks. Convenient voltammetric and chronoamperometric measurements of 0–3 mM ferrocyanide, 0–25 mM hydrogen peroxide, and 0–100 μM NADH have been documented. The favorable electrochemical behavior is maintained under folding or stretching stress, relevant to the deformation of clothing. The electrochemical performance and tolerance to mechanical stress are influenced by the physical characteristics of the textile substrate. The results indicate the potential of textile-based screen-printed amperometric sensors for future healthcare, sport or military applications. Such future applications would benefit from tailoring the ink composition and printing conditions to meet the specific requirements of the textile substrate.

Faster electro-optical response characteristics of a carbon-nanotube-nematic suspension

Abstract: The response times of rotational molecular orientation of neat and carbon-nanotube-doped nematic liquid crystals were acquired through the measurement of transient current induced by a direct-current step voltage and from optical transmission data. A model based on the dielectric displacement current was developed to describe the electric field dependence of the response and to yield a rotational viscosity that would decrease with increasing concentration of carbon nanotubes. Optical dynamic response also showed a reduced rotational viscosity, with the lightly doped cells exhibiting a faster relaxation process than that of the neat cell.