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Institution

Chung Yuan Christian University

EducationTaoyuan City, Taiwan
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.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the complex permittivity and permeability of absorbing composite materials consisted of ferrite/silver core-shell nanopowders and polyurethane were measured in the frequency range of 2-15 GHz.

102 citations

Journal ArticleDOI
TL;DR: This paper defines similarity and inclusion measures between type-2 fuzzy sets, discusses their properties and also considers the relationships between them, and combines the proposed similarity measures with Yang and Shih's clustering method.
Abstract: In this paper we define similarity and inclusion measures between type-2 fuzzy sets. We then discuss their properties and also consider the relationships between them. Several examples are used to present the calculation of these similarity and inclusion measures between type-2 fuzzy sets. We finally combine the proposed similarity measures with Yang and Shih's [M.S. Yang, H.M. Shih, Cluster analysis based on fuzzy relations, Fuzzy Sets and Systems 120 (2001) 197-212] algorithm as a clustering method for type-2 fuzzy data. These clustering results are compared with Hung and Yang's [W.L. Hung, M.S. Yang, Similarity measures between type-2 fuzzy sets, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 12 (2004) 827-841] results. According to different @a-level, these clustering results consist of a better hierarchical tree.

102 citations

Journal ArticleDOI
TL;DR: In this article, the authors demonstrated the preparation and environmental adsorption applications of 2D material MXenes through extracting Al layer from Ti3AlC2 in a simpler and safer way.

102 citations

Journal ArticleDOI
TL;DR: A hybrid control system using a recurrent fuzzy neural network (RFNN) is proposed to control a linear induction motor (LIM) servo drive to control the mover of the LIM for periodic motion.
Abstract: A hybrid control system using a recurrent fuzzy neural network (RFNN) is proposed to control a linear induction motor (LIM) servo drive. First, feedback linearization theory is used to decouple the thrust force and the flux amplitude of the LIM. Then, a hybrid control system is proposed to control the mover of the LIM for periodic motion. In the hybrid control system, the RFNN controller is the main tracking controller, which is used to mimic a perfect control law, and the compensated controller is proposed to compensate the difference between the perfect control law and the RFNN controller. Moreover, an online parameter training methodology, which is derived using the Lyapunov stability theorem and the gradient descent method is proposed to increase the learning capability of the RFNN. The effectiveness of the proposed control scheme is verified by both the simulated and experimental results. Furthermore, the advantages of the proposed control system are indicated in comparison with the sliding mode control system.

102 citations

Journal ArticleDOI
TL;DR: In this paper, the influence of the incorporation of POSS on the polymer structure was systematically studied by molecular dynamics simulations combined with DSC, XRD and IR measurements, and the results indicated that facilely incorporating POSS into PDMS by molecular interactions could manipulate favorable interfacial morphology and tunable free volumes in MMMs.
Abstract: Mixed matrix membranes (MMMs), consisting of inorganic fillers dispersed in a polymer matrix, are regarded as one of the most promising futuristic membranes. This work reports the utilization of molecular interactions to finely control the conformation and topology of polymer chains to fabricate high-performance polyhedral oligomeric silsesquioxanes (POSS)/polydimethylsiloxane (PDMS) MMMs. The influence of the incorporation of POSS on the polymer structure was systematically studied by molecular dynamics simulations combined with DSC, XRD and IR measurements. The surface and interfacial morphologies of the MMMs were observed through SEM, TEM and AFM characterizations. In particular, positron annihilation spectroscopy was employed to analyze the evolution of free volumes in the MMMs. Results indicated that facilely incorporating POSS into PDMS by molecular interactions could manipulate favorable interfacial morphology and tunable free volumes in MMMs. In the PDMS MMMs, the small free volumes were reduced and the large free volumes increased; these changes were beneficial for the preferential permeation of large-sized molecules through the polymeric membrane. As applied to the bio-butanol recovery from aqueous solutions, the prepared POSS/PDMS MMMs exhibited a simultaneous increase in permeability and selectivity, breaking the permeability-selectivity trade-off limitation, moreover transcending the upper bound of the state-of-the-art organophilic pervaporation membranes. Therefore, our work demonstrates that the proposed approach based on rationally creating molecular interactions can be expected to have broad applicability in fabricating high-quality MMMs for molecular separations.

102 citations


Authors

Showing all 9844 results

NameH-indexPapersCitations
Simon Lin12675469084
Xiaodong Li104130049024
Yu Wang92168747472
Leaf Huang9235025867
Duu-Jong Lee9197937292
Yen Wei8564925805
Ru-Shi Liu8273826699
Kazuhiko Ishihara7771324795
Gwo-Hshiung Tzeng7746526807
Huan-Tsung Chang7640521476
Hari M. Srivastava76112642635
Jianhua Yang7455427839
Yen Wei6830917527
Hsisheng Teng6721314408
Kevin C.-W. Wu6627815193
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202315
202271
2021590
2020633
2019569
2018514