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International Conference on Applied System Innovation (ICASI)

作者： Ya-Fen Chang Chung-Yi Tsai Wei-Liang Tai Department of Computer Science and Information Engineering National Taichung University of Science and Technology Taichung Taiwan Bachelor Degree Program of Artificial Intelligence National Taichung University of Science and Technology Taichung Taiwan

Recently, Wang et al. proposed a computationally transferable authenticated key agreement protocol for smart healthcare by adopting the certificateless public-key cryptography. They claimed that their protocol could ensure privacy, resist various attacks, and possess superior properties. After analyzing their protocol, we find that it suffers from some flaws. Firstly, user privacy is not ensured as claimed. Secondly, some statements are inaccurate or missing. Thirdly, it cannot resist DoS attack. In this paper, the details of how these flaws threaten Wang et al.’s protocol are shown.

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Exploring bus drivers' intentions to collaborate with level 4 autonomous buses: Integrating the technology acceptance model and assemblage theory

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Research in Transportation Economics 2025年 111卷

作者： Liang, Jyun-Kai Huang, Yu-Kai Lu, Chung-Cheng National Taichung University of Science and Technology Dept. of Business Administration Taichung City Taiwan National Taiwan Ocean University Bachelor Degree Program in Ocean Tourism Management Keelung City Taiwan National Yang Ming Chiao Tung University Dept. of Transportation and Logistics Management Hsinchu City Taiwan

As AI proliferates, human-AI collaboration has become necessary in many domains, not least in public transportation, where highly automated, if not fully driverless buses, require human-AI cooperation. However, existing technology acceptance models lack insight into the unique factors that influence acceptance in collaborative human-AI contexts. This study integrates the technology Acceptance Model (TAM) with Assemblage Theory to provide a comprehensive framework that does explicate key mechanisms underlying bus drivers' behavioral intentions toward Level 4 autonomous buses. Drawing upon Assemblage Theory, we conceptualize the driver and the autonomous bus as a human-machine collaborative assemblage. Perceived usefulness and perceived ease of use from TAM are modeled as antecedents, with compatibility and trust from Assemblage Theory as mediators, predicting attitude and behavioral intention. The theoretical model is examined using structural equation modeling on data collected from 719 bus drivers of four major transit companies in Taipei. Results robustly support all hypotheses, with perceived usefulness exhibiting stronger positive effects on trust and compatibility than perceived ease of use. Trust and compatibility positively influenced attitude, which strongly predicted behavioral intention to cooperate with Level 4 autonomous bus introduction. The empirical findings show TAM is enriched by the integration of Assemblage Theory concepts, extending both theories' ability to facilitate autonomous mobility human-AI collaboration. © 2025 Elsevier Ltd

关键词： Assemblage theory Autonomous bus Human-AI collaboration Public transportation technology acceptance model

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Meshless generalized finite difference method with a domain-decomposition method for solving Helmholtz equation and its application to caisson resonance problems

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ocean engineering 2023年 271卷

作者： Huang, Ji Lyu, Hong-Guan Chen, Jiahn-Horng Fan, Chia-Ming School of Naval Architecture and Maritime Guangdong Ocean University Zhanjiang524088 China School of Ocean Engineering and Technology Sun Yat-sen University Zhuhai519082 China Doctoral Degree Program in Ocean Engineering Technology National Taiwan Ocean University Keelung20224 Taiwan Shih Yen-Ping Center for Underwater Technology National Taiwan Ocean University Keelung20224 Taiwan National Academy of Marine Research Kaohsiung80661 Taiwan Department of Harbor and River Engineering National Taiwan Ocean University Keelung20224 Taiwan

This paper aims at presenting a meshless Generalized Finite Difference Method (GFDM) for solving the Helmholtz equation. In particular, in order to tackle the problem where a fluid domain is divided into different parts by a thin-wall structure, a Domain-Decomposition Method (DDM) is introduced to prevent interactions between node pairs coming from different parts of the flow domain. Two rigorous benchmarks are performed to validate the convergence and accuracy of the present GFDM-DDM model. Furthermore, caisson resonance problems are also investigated and discussed based on the novel numerical tool. It is shown that the present GFDM-DDM model can provide satisfactory predictions for resonance modes in caisson resonance problems, and hence can be treated as a powerful numerical tool in ocean engineering design due to its accurate and efficient characteristics. © 2023 The Authors

关键词： Caissons

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Wave attenuation by a submerged circular porous membrane

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Journal of ocean engineering and Science 2022年

作者： Gayathri, R. Khan, Mohamin B M Behera, Harekrushna Tsai, Chia-Cheng Department of Mathematics SRM Institute of Science and Technology Chengalpattu District Kattankulathur Tamil Nadu 603203 India Bachelor Degree Program in Ocean Engineering and Technology National Taiwan Ocean University Keelung 202301 Taiwan Center of Excellence for Ocean Engineering National Taiwan Ocean University Keelung 202301 Taiwan

Wave action over a submerged circular flexible porous membrane is investigated and the impact of porosity in dampening the far-field wave amplitude is examined in a scattering of incoming waves. The unknown potential for the free surface and the membrane-covered regions are obtained by coupling the respective boundary conditions and Darcy's law for permeable structure. The associated boundary value problem is solved using the method of expansions of the eigenfunctions as Fourier-Bessel series. To understand the efficiency of the present study, wave force excitation on the circular membrane, far-field scattering wave amplitude, energy dissipation, and flow distribution are computed and examined. The study shows that on the leeward side of the membrane the wave amplitude reduces drastically. In addition, the submergence depth has a significant impact on wave energy dissipation. This model will be beneficial in developing the mechanism to minimize wave force on coastal structures for a variety of marine operations. In addition, this structure has minimal environmental effects on different coastline processes and can therefore be used in a variety of coastal/ocean applications. © 2022

关键词： Circular membrane Eigenfunction expansion method Flow distribution Plane wave integration Porous-effect parameter

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Boussinesq modeling of typhoon-induced infragravity oscillations in Hualien Harbor, eastern Taiwan: Influence of the adjacent coast

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Coastal engineering 2025年 201卷

作者： Su, Shih-Feng Ma, Gangfeng Bachelor Degree Program in Ocean Engineering and Technology National Taiwan Ocean University Keelung Taiwan DHI Water & Environment Inc. LakewoodCO80228 United States

Large infragravity-wave oscillations inside harbors are generally induced by typhoon-generated swell waves. The interaction between infragravity waves and harbor geometry can significantly amplify wave oscillations when the specific frequencies match the natural resonance frequencies of the harbor. Additionally, the neighboring coastal morphology can enhance the influx of infragravity energy. In this study, we investigated infragravity oscillations in Hualien Harbor, eastern Taiwan, during the passage of a strong typhoon. The harbor geometry comprises outer and inner basins aimed at providing a well-sheltered area. However, the extreme infragravity wave height of 2.0 m was observed at the innermost basin. A wave-resolving Boussinesq model was applied to reproduce harbor oscillations and was validated against the measured data within the port. The accuracy of the simulated significant wave heights was sensitive to the direction of the incident wave, but not that of the simulated infragravity waves. Furthermore, lower and higher resonance frequencies prevail in the inner and outer basins, respectively. The simulated spatial distributions of wave heights in the resonance periods demonstrated that these waves were present both within the harbor and along the adjacent coast. Additionally, the refraction effects of the adjacent coast were investigated through numerical simulations. Our experiments revealed that the infragravity energy generated on the adjacent coast contributed to an increase in infragravity wave heights inside the harbor up to 47 %. Moreover, we found that reducing the long-period infragravity waves significantly altered the distribution of short-period swell waves in the outer harbor basin. © 2025 Elsevier B.V.

关键词： Natural frequencies

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Momentum investing and a tale of intraday and overnight returns: Evidence from Taiwan

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Pacific Basin Finance Journal 2023年 82卷

作者： Ho, Hsiao-Wei Hsiao, Yu-Jen Lo, Wen-Chi Yang, Nien-Tzu Bachelor Degree Program in Ocean Business Management National Taiwan Ocean University Keelung Taiwan Executive Master Program of Business Administration in Biotechnology College of Management Taipei Medical University Taipei Taiwan Financial Technology Applications Program Ming Chuan University Taoyuan Taiwan Department of Business Management National United University Miaoli Taiwan

The Taiwan stock market has been widely documented as a remarkable exception of the momentum effect. In this paper, we analyze whether the information contained in past intraday and overnight returns affects future stock returns in different ways. Specifically, we propose that investors tend to underreact to intraday information while overreact to overnight information. Accordingly, we construct two momentum strategies based on past intraday and overnight returns, namely the intraday momentum (IMOM) and overnight momentum (OMOM). We show that the IMOM strategy generates significantly positive returns while the OMOM strategy generates significantly negative returns, and that such phenomena exist up to one year. We further confirm that the IMOM profits are induced by investor underreaction while the OMOM reversals are due to investors' price correction of initial overreaction. Finally, we show that a major advantage of the IMOM strategy is that its profitability is stable over time and is less prone to the momentum crashes. © 2023 Elsevier B.V.

关键词： Intraday return Investor underreaction Momentum Overnight return Taiwan stock market

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Entropy Generation and Exergy Assessment of Methane-Nitrous Oxide Diffusion Flames in a Triple-Port Burner

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International Journal of Energy Research 2023年第1期2023卷

作者： Chou, Dean Tsai, Wen-Yuan Emami, Mohsen Davazdah Li, Yueh-Heng Department of Biomedical Engineering National Cheng Kung University Tainan701 Taiwan Medical Device Innovation Centre National Cheng Kung University Tainan City701 Taiwan Department of Aeronautics and Astronautics National Cheng Kung University Tainan701 Taiwan Department of Mechanical Engineering Isfahan University of Technology Isfahan84156-83111 Iran International Bachelor Degree Program on Energy Engineering National Cheng Kung University Tainan701 Taiwan

A triple-port burner was used in this study, and a numerical simulation was employed to investigate the entropy generation rate of CH4-N2O diffusion flames at the Rratio=1. Here, R ratio refers to the ratio of the oxidizer flow velocity to the fuel flow velocity. In order to scrutinize the decomposition effect of N2O on entropy generation, an oxygen-enriched gas with the same nitrogen to oxygen ratio as N2O (N-to-O=2) was used in CH4-N2-O2 diffusion flames. Besides, because the N2O could decompose into the oxygen-enriched gas, the oxygen-enriched effect was also studied by the CH4-air diffusion flames that were conducted in this research. The entropy generation rate comprises of three items in this study, including heat conduction, mass diffusion, and chemical reaction. As a result, the different reaction pathways would take part in the major reaction pathway in CH4-N2O diffusion flames, causing more entropy generation rate being produced through the more intense reactions in CH4-N2O diffusion flames. The irreversibility in CH4-air diffusion flames are dominated through heat conduction and chemical reaction, which is an identical result in CH4-N2-O2 diffusion flames. However, in CH4-N2O diffusion flames, chemical reactions dominated the irreversibility because of the more intense reaction caused by the thermal effect of N2O decomposition. As a result, the decomposition effect of N2O influences the availability of CH4-N2O diffusion flames. © 2023 Dean Chou et al.

关键词： Heat conduction

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Constructing a Minimized Connected Dominating Set Based on the Decentralized Nomination Algorithm in Mobile Ad Hoc Networks

SSRN

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SSRN 2023年

作者： Hsieh, Hui-Ching Chiang, Mao-Lun Lin, Tzu-Ling Liao, Lu-Wen Chen, Ze-Yu Department of New Media Communication Hsing Wu University New Taipei City Taiwan Bachelor Degree Program of Artificial Intelligence National Taichung University of Science and Technology Taichung City Taiwan Department of Business Management National Taichung University of Science and Technology Taichung404336 Taiwan Department of Intelligent Production Engineering National Taichung University of Science and Technology Taiwan Department of Information and Communication Engineering Chaoyang University of Technology Taichung City Taiwan

Inspired by the backbone architecture of wired networks, in this study, we applied the concept of a virtual backbone to the routing scheme in a mobile ad hoc network (MANET) to develop an effective routing method. Using connected dominating set (CDS)-based methods to construct a virtual backbone network can effectively improve routing performance in a MANET. The CDS virtual backbone network we developed in the present study can respond quickly and identify routing paths through these CDS members as the network topology changes. Meanwhile, the nodes that are not CDS members can enter the power-saving mode to minimize unnecessary power consumption. Wireless nodes in a MANET can move freely within the network;therefore, CDS virtual backbones are easy to deconstruct. Researchers have developed centralized and decentralized CDS algorithms to reconstruct network topologies. When previously developed centralized CDS algorithms are applied, the system requires the information of all nodes in the network to reconstruct the virtual backbone. Therefore, the information exchange costs of such algorithms before refactoring are high. By contrast, decentralized CDS algorithms can use local information to reconstruct virtual backbones quickly. Yet, decentralized algorithms produce larger CDSs than centralized algorithms. To improve upon the performance of previously developed decentralized algorithms, we developed and herein present a new decentralized CDS algorithm called APP-CDS that can quickly construct a virtual backbone with the smallest possible CDS for use in MANET environments. © 2023, The Authors. All rights reserved.

关键词： Routing algorithms

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Evaluating constraints on offshore wind farm installation across the Taiwan Strait by exploring the influence of El Niño-Southern Oscillation on weather window assessment

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Heliyon 2024年第21期10卷 e40125页

作者： Tseng, Wan-Ling Lin, Cheng-Wei Wang, Yi-Chi Hsu, Huang-Hsiung Chiu, Kuan-Ming Wu, Yueh-Shyuan Hsieh, Yi-Huan Chen, Ying-Ting Ocean Center National Taiwan University Taipei Taiwan Research Center for Environmental Changes Academia Sinica Taipei Taiwan Swedish Meteorological and Hydrological Institute Sweden Department of Energy Engineering Nation United University Taiwan Green Energy and Environment Research Laboratories Industrial Technology Research Institute Taipei Hsinchu Taiwan Office of Sustainability National Taiwan University Taipei Taiwan International Degree Program in Climate Change and Sustainable Development National Taiwan University Taipei Taiwan

The transition to renewable energy sources, such as offshore wind farms, is essential in mitigating climate change. Taiwan has set ambitious targets to harness wind energy from the Taiwan Strait, but offshore wind farm installations are highly dependent on weather conditions, particularly wind speeds. This study examines the relationship between the El Niño-Southern Oscillation (ENSO) and offshore wind farm installation by assessing weather windows—periods with wind speeds below 12 m per second at a height of 100 m for at least 12 h. Our analysis shows that during La Niña years, the number of feasible weather windows decreases by up to 40 %, particularly between October and June, compared to neutral and El Niño years. This decrease can be as high as fourfold in December, significantly impacting installation schedules. Seasonal variations are also notable, with wind speeds exceeding 12 m s⁻¹ in winter 66.4 % of the time, compared to 29.4 % in spring, making spring and summer the most favorable periods for installation. However, even during these favorable seasons, La Niña years can bring higher wind speeds, necessitating careful planning. These results underscore the importance of integrating ENSO forecasts into project planning to avoid installation delays and optimize installation timelines. By leveraging seasonal and interannual climate variability predictions, decision-makers can improve the resilience of offshore wind farm projects and ensure efficient energy transition strategies. © 2024

关键词： ENSO Offshore wind farm Taiwan Strait

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Deep convolutional neural network model for short-term electricity price forecasting

arXiv

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arXiv 2020年

作者： Cheng, Hsu-Yung Kuo, Ping-Huan Shen, Yamin Huang, Chiou-Jye Department of Computer Science and Information Engineering National Central University Computer and Intelligent Robot Program for Bachelor Degree National Pingtung University School of Electrical Engineering and Automation Jiangxi University of Science and Technology

In the modern power market, electricity trading is an extremely competitive industry. More accurate price forecast is crucial to help electricity producers and traders make better decisions. In this paper, a novel method of convolutional neural network (CNN) is proposed to rapidly provide hourly forecasting in the energy market. To improve prediction accuracy, we divide the annual electricity price data into four categories by seasons and conduct training and forecasting for each category respectively. By comparing the proposed method with other existing methods, we find that the proposed model has achieved outstanding results, the mean absolute percentage error (MAPE) and root mean square error (RMSE) for each category are about 5.5% and 3, respectively. Copyright © 2020, The Authors. All rights reserved.

关键词： Power markets

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