http://scholars.ntou.edu.tw/handle/123456789/212 2026-04-23T16:38:46Z http://scholars.ntou.edu.tw/handle/123456789/26506 標題: Nano-zirconia coated BaTiO₃ composite for oxygen evolution reaction 作者: Saad, Islam; Huang, Wei-Cheng; Amin, Rafat M.; El-Dek, S. I.; Chang, Horng-Yi 摘要: The development of efficient and stable oxygen evolution reaction (OER) electrocatalysts is vital for advancing sustainable energy storage and conversion technologies. In this study, a perovskite-based composite consisting of BaTiO3 (BTO) and nano-ZrO2 was synthesized and systematically investigated for water splitting. Structural analysis revealed a progressive shift of X-ray diffraction peaks to lower angles with increasing crystallite size (43-79 nm). The introduction of ZrO2 enhanced the textural properties, increasing the specific surface area from 7.11 to 9.42 m(2)<middle dot>g(-1) while reducing pore volume due to partial pore filling. Surface morphology and roughness variations were evaluated using field-emission scanning electron microscopy (FESEM) combined with Gwyddion software analysis. Among the composites studied, BTO loaded with 12 wt% ZrO2 (BTO@12 %ZrO2) exhibited the most favorable electrocatalytic performance. This optimized composition delivered a maximum current density of similar to 25 mA<middle dot>cm(-2) at 2.0 V vs. the reversible hydrogen electrode (RHE), with an onset potential of 380 mV. Furthermore, it maintained a stable current density of 5 mA<middle dot>cm(-2) at 470 mV over 12 h. Electrochemical analysis confirmed the highest electrochemical surface area (ECSA, 28 cm(2)) and a Tafel slope of 187 mV<middle dot>dec(-1) for the optimized catalyst. These findings demonstrate that nano-ZrO2 loading significantly enhances the catalytic activity of BaTiO3, establishing BTO@12 %ZrO2 as a promising and cost-effective alternative to noble-metal-based OER electrocatalysts. 2025-01-01T00:00:00Z http://scholars.ntou.edu.tw/handle/123456789/26505 標題: Assessing CO₂ sources and sinks in and around Taiwan: Implication for achieving regional carbon neutrality by 2050( vol 206 , 116664, 2024) 作者: Hung, Chin-Chang; Hsieh, Hsueh-Han; Chou, Wen-Chen; Liu, En-Chi; Chow, Chun Hoe; Chang, Yi; Lee, Tse-Min; Santsch, Peter Hans; Ranatunga, R. R. M. K. P.; Bacosa, Hernando P.; Shih, Yung-Yen 2025-01-01T00:00:00Z http://scholars.ntou.edu.tw/handle/123456789/26479 標題: H�� Delayed Filtering of Markov Jump Fuzzy Systems in Consumer Electronics: Input-Output Analysis 作者: Aslam, Muhammad Shamrooz; Bilal, Hazrat; Chang, Wen-Jer; Kumar, Neeraj; Khan, Izaz Ahmad; Vasilakos, Athanasios V. 摘要: This article investigates the design of robust H-infinity filters for Takagi-Sugeno (T-S) fuzzy systems with time-varying delays, with a critical challenge in many consumer electronics applications. We extend existing research by incorporating Markovian jump parameters to model system uncertainties and considering internal-like time-varying delays, which are prevalent in real-world scenarios such as wireless communication and networked control systems in consumer devices. To address the complexities introduced by time-varying delays, we employ a three-term approximation model that more accurately captures the system dynamics compared to traditional approaches. Furthermore, we incorporate the time derivative of the membership functions (MFs) into the filter design, and its impact on system stability and performance. To ensure filter stability, we derive novel stability conditions based on the mode-dependent Lyapunov-Krasovskii functional approach, incorporating constraints on the higher bounds of the MF time derivatives. Leveraging the small-gain theorem with scaling techniques, we propose the design of both full-order and reduced-order H-infinity filters, expressed in terms of linear matrix inequalities (LMIs). These LMI-based solutions provide a systematic and computationally efficient approach for filter synthesis. Finally, we validate the effectiveness of our proposed filtering strategies through illustrative examples drawn from relevant consumer electronics applications, such as noise cancellation in audio devices, image stabilization in cameras, and vibration suppression in wearable devices. The results demonstrate the enhanced robustness and performance of the proposed filters in the presence of time-varying delays and uncertainties. 2025-01-01T00:00:00Z http://scholars.ntou.edu.tw/handle/123456789/26476 標題: Computational Design of Interval Type-2 Fuzzy Control for Formation and Containment of Multi-Agent Systems with Collision Avoidance Capability 作者: Lin, Yann-Horng; Chang, Wen-Jer; Lee, Yi-Chen; Aslam, Muhammad Shamrooz; Ku, Cheung-Chieh 摘要: An Interval Type-2 (IT-2) fuzzy controller design approach is proposed in this research to simultaneously achieve multiple control objectives in Nonlinear Multi-Agent Systems (NMASs), including formation, containment, and collision avoidance. However, inherent nonlinearities and uncertainties present in practical control systems contribute to the challenge of achieving precise control performance. Based on the IT-2 Takagi-Sugeno Fuzzy Model (T-SFM), the fuzzy control approach can offer a more effective solution for NMASs facing uncertainties. Unlike existing control methods for NMASs, the Formation and Containment (F-and-C) control problem with collision avoidance capability under uncertainties based on the IT-2 T-SFM is discussed for the first time. Moreover, an IT-2 fuzzy tracking control approach is proposed to solve the formation task for leaders in NMASs without requiring communication. This control scheme makes the design process of the IT-2 fuzzy Formation Controller (FC) more straightforward and effective. According to the communication interaction protocol, the IT-2 Containment Controller (CC) design approach is proposed for followers to ensure convergence into the region defined by the leaders. Leveraging the IT-2 T-SFM representation, the analysis methods developed for linear Multi-Agent Systems (MASs) are successfully extended to perform containment analysis without requiring the additional assumptions imposed in existing research. Notably, the IT-2 fuzzy tracking controller can also be applied in collision avoidance situations to track the desired trajectories calculated by the avoidance algorithm under the Artificial Potential Field (APF). Benefiting from the combination of vortex and source APFs, the leaders can properly adjust the system dynamics to prevent potential collision risk. Integrating the fuzzy theory and APFs avoidance algorithm, an IT-2 fuzzy controller design approach is proposed to achieve the F-and-C purpose while ensuring collision avoidance capability. Finally, a multi-ship simulation is conducted to validate the feasibility and effectiveness of the designed IT-2 fuzzy controller. 2025-01-01T00:00:00Z