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A comprehensive 3D-CFD analysis of operational and geometric effects on hydrogen absorption in MH reactor equipped with finned and tubular heat exchangers

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International Journal of Hydrogen Energy 2025年 135卷 553-570页

作者： Bammoune, Abdelaziz Laouedj, Samir Dadda, Bachir Boukhari, Ali Bouali, Belkacem Laboratory of Materials and Reactive Systems Faculty of Technology Djillali Liabes University of Sidi Bel-Abbés Algeria Applied Research Unit for Renewable Energies URAER Renwable Energy Development Center CDER Ghardaïa47133 Algeria Mechanical Engineering Department Faculty of Technology El-Oued University Algeria Process Engineering Laboratory Laghouat University Laghouat Algeria

The chemisorption storage of hydrogen within metal hydride (MH) reactors is considered as the promising method for the successful emergence of hydrogen energy in mobility sector. However, there are two major areas that require attention for this process to be optimized: thermal management and gravimetric storage capacity of MH reactors system. In order to address these challenges, we propose a new cylindrical MH reactor tank design that is filled with 1.58 Kg of LaNi5 powder. To optimize heat and mass transfer during the exothermic hydrogen absorption reaction, we integrate two new heat exchangers containing heat transfer fluid (HTF), which have minor impacts on the reactor volume and weight. The first is a copper-finned heat exchanger, consisting of four rectangular pipes with six stages of circular fins, with occupied ratio of 17.3 % and 14.7 % in total mass and volume of reactor system, respectively. The second is a tubular heat exchanger jacket with a spiral tube on stainless steel SS316, welded to the peripheral wall of the reactor with ratio of 16.3 % and 15.7 % in total mass and volume of reactor. We conducted a three-dimensional numerical study using CFD code of ANSYS FLUENT software to analyse heat and mass transfers during the hydrogen absorption process. The aim of this study is to assess how operational parameters and the geometric design of the two integrated heat exchangers affect the efficiency of solid hydrogen storage, with a focus on identifying optimization possibilities. The results of our simulation procedure were validated with numerical and experimental data published in the literature, showing good agreement. The obtained results indicate that the absorption reaction kinetics exhibit a greater responsiveness to hydrogen injection pressure in comparison to the effect of temperature and the velocity of HTF. Inserting fins through the cooling fluid medium has a dual impact on the heat absorbed by the HTF, increasing its amount and accelerating i

关键词： Fins (heat exchange)

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A survey on the visual perception of humanoid robot

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Biomimetic Intelligence & Robotics 2025年第1期5卷 3-14页

作者： Teng Bin Hanming Yan Ning Wang Milutin N.Nikolić Jianming Yao Tianwei Zhang The Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen 518172China College of Intelligent Systems Science and Engineering Harbin Engineering UniversityHarbin 150001China College of Physics and Optoelectronic Engineering Shenzhen UniversityShenzhen 518060China College of Mechatronics Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210016China Faculty of Technical Sciences University of Novi SadNovi Sad 21102Serbia Electronic science and technology Guangdong University of TechnologyGuangzhou 510006China

In recent years,humanoid robots have gained significant attention due to their potential to revolutionize various industries,from healthcare to manufacturing.A key factor driving this transformation is the advancement of visual perception systems,which are crucial for making humanoid robots more intelligent and *** the progress,the full potential of vision-based technologies in humanoid robots has yet to be fully *** review aims to provide a comprehensive overview of recent advancements in visual perception applied to humanoid robots,specifically focusing on applications in state estimation and environmental *** summarizing key developments and analyzing the challenges and opportunities in these areas,this paper seeks to inspire future research that can unlock new capabilities for humanoid robots,enabling them to better navigate complex environments,perform intricate tasks,and interact seamlessly with humans.

关键词： advanced technologies visual perception autonomous navigation human robot interaction environmental interaction state estimation humanoid robots advancement visual perception systemswhich

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Multipath Parameter Optimization for Improving Accuracy of Ray-Tracing-based Received Power Prediction in Industrial Environments

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IEEE Transactions on Vehicular technology 2025年第5期74卷 7881-7896页

作者： Haniz, Azril Kawasaki, Hikaru Hosokawa, Genki Urushibata, Takuro Yanagi, Yasuyuki Kunitachi, Tadahide Sawada, Hirokazu Matsumura, Takeshi National Institute of Information and Communication Technology Wireless Systems Laboratory Kanagawa239-0847 Japan Yazaki Energy System Corporation Numazu Factory Shizuoka410-8515 Japan YAZAKI Corporation YAZAKI Research and Technology Center Kanagawa239-0847 Japan Aichi University of Technology Department of Media Informatics Faculty of Engineering Aichi443-0047 Japan

Wireless propagation channel modeling plays a crucial role in the design and planning of wireless networks. Ray-tracing (RT) method is a widely used site-specific approach to calculate the propagation channel for a given geometry of an environment. Due to the high-frequency approximation used in RT, it suffers from errors in the calculated received power especially at low frequencies where objects may be on the same order or smaller than the wavelength. In this paper, we propose to reduce this error by attenuating the calculated received power depending on the size of the reflecting or diffracting object with respect to wavelength. We also propose two approaches to perform optimization of the algorithm parameters using measured training data. The proposed algorithms are trained and evaluated using measurement data taken in an actual factory environment at five different center frequencies in the sub-6 GHz and mmWave bands. Results showed that the proposed algorithm managed to significantly reduce the RMSE of received power from 11.6 dB to 5.9 dB for the 922 MHz band, and to below 3 dB for the 2.4 GHz and higher bands. © 1967-2012 IEEE.

关键词： 5G mobile communication systems

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Unraveling Interrelationships and Moderators Influencing the Acceptance of Shared Autonomous Vehicles, an End Users' Perspective

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Transportation Research Part F: Traffic Psychology and Behaviour 2025年 113卷 158-173页

作者： Abbasi, Mohammadhossein Kashani, Mahsa Aboutorabi Mamdoohi, Amir Reza Dissanayake, Dilum Sierpinski, Grzegorz Faculty of Civil and Environmental Engineering Tarbiat Modares University Tehran Iran School of Geography Earth and Environmental Sciences University of Birmingham B15 2TT Birmingham United Kingdom Department of Transport Systems Traffic Engineering and Logistics Faculty of Transport and Aviation Engineering Silesian University of Technology Gliwice44-100 Poland

The integration of ride-sharing services with Shared Autonomous Vehicles (SAVs) has the potential to revolutionize future transportation systems. However, the interplay between the internal and external psychological factors, along with the moderating variables influencing the acceptance of SAVs, remains poorly understood. This study addresses this gap by analysing direct effects and interrelationships among latent constructs from the Extended Unified Theory of Acceptance and Use of technology (UTAUT2), as well as the moderating effects of socio-demographic and travel behaviour variables, using Structural Equation Modelling (SEM). A stated preference questionnaire was designed to collect responses from 723 participants in Tehran. Key findings include: (1) Among the direct effects, performance expectancy, social influence, effort expectancy, habits, hedonic motivation, and price value were significant predictors of intention to use SAVs (listed in descending order of influence);(2) All interrelationships among constructs were positively significant, except for the non-significant effect of social influence on effort expectancy, with social influence demonstrating the strongest effect on facilitating conditions;and (3) Car ownership, driving experience, and accident history emerged as the most influential and frequently observed moderators within the UTAUT2 framework. These results offer policymakers practical insights into public perceptions of SAVs, enabling the identification of underlying preferences and the design of targeted strategies to improve SAV adoption. © 2025 The Author(s)

关键词： Autonomous vehicles

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Evaluation of the ARC fusion reactor-driven sustainable integrated energy systems for non-electrical outputs

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Energy 2025年 327卷

作者： Asal, Sulenur Acır, Adem Department of Energy Systems Engineering Faculty of Technology Gazi University Ankara06500 Turkey

This presented study aims to create a novel perspective on the use of fusion energy to meet the demands of humanity, designing a thermochemical cycle for the Affordable Robust Compact (ARC) fusion reactor and investigating non-electrical useful outputs, modeling integrated energy systems driven by a fusion reactor. Three different cases are developed and analyzed within the scope of this study. All cases are driven by the Affordable Robust Compact fusion reactor. While Case A includes only the open feedwater Rankine cycle, Case B consists of the three-step magnesium chlorine cycle as well to examine the hydrogen production potential. Finally, Case C includes the Affordable Robust Compact fusion reactor-driven open feedwater Rankine cycle, the three-step magnesium chlorine cycle, and two different desalination units, such as the multi-effect desalination and reverse osmosis to examine the potential of hydrogen and freshwater production. All cases are investigated using energy and exergy approaches. As a result, Case A has the highest overall energy and exergy efficiencies, with 39.86% and 59.68%, respectively. Case B produces 1.49 kg/s of hydrogen, whilst Case C generates 3832.2 tons/h of freshwater and 1.24 kg/s of hydrogen using all thermal energy that comes from the Affordable Robust Compact fusion reactor. © 2025 Elsevier Ltd

关键词： Desalination

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Enhanced Grid Integration of PV systems Using Double-Stage Configuration and PUC7 Inverter Controlled by MPC

Enhanced Grid Integration of PV Systems Using Double-Stage C...

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International Conference on Artificial Intelligence in Renewable Energetic systems, IC-AIRES 2024

作者： Khettab, Soufian Kheldoun, Aissa Bradai, Rafik Hattabi, Intissar SET Laboratory Blida 1 University Faculty of Technology Automation and Electrical Engineering Department Blida09000 Algeria Laboratory of Signals and Systems Institute of Electrical and Electronic Engineering University M’hamed Bougara Boumerdes35000 Algeria LATSI Blida 1 University Faculty of Technology Electronics Department Blida09000 Algeria

ISBN: (纸本)9783031803000

The paper introduces a double-stage, single-phase photovoltaic (PV) system connected to the grid using a packed U-cell seven-level (PUC7) inverter, governed by Model Predictive Control (MPC). This system aims to optimize grid integration by achieving enhanced current injection with minimal Total Harmonic Distortion (THD), reactive power compensation, and efficient extraction and injection of maximum power from the PV source. Simulation results underscore the efficacy of the proposed control strategy in enhancing power quality, responsiveness, and accuracy across varying weather conditions, thereby validating the feasibility and robustness of the proposed PV system. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Predictive control systems

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A Lightweight U-Net Model for Accurate Skin Lesion Segmentation

Iraqi Journal for Computer Science and Mathematics

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Iraqi Journal for Computer Science and Mathematics 2025年第2期6卷 1-11页

作者： Najjar, Fallah H. Kadhim, Karrar A. Mohamed, Farhan Rahim, Mohd Shafry Mohd Abdullah, Asniyani Nur Haidar Department of Emergent Computing Faculty of Computing Universiti Teknologi Malaysia Johor Bahru Malaysia Department of Computer Systems Techniques Technical Institute of Najaf Al-Furat Al-Awsat Technical University Najaf54001 Iraq Computer Techniques Engineering Department Faculty of Information Technology Imam Ja’afar Al-Sadiq University Baghdad Iraq Faculty of Information & Communication Technology Universiti Teknikal Malaysia Melaka Hang Tuah Jaya Melaka Durian Tunggal76100 Malaysia

In this paper, a new lightweight U-Net deep learning-based neural network designed for the segmentation of skin lesions is proposed. Segmentation of skin lesions is the most critical step in computer-aided dermatology diagnosis for the early detection of melanoma and other diseases. However, we address the difficulty related to the precise definition of the lesion margins with an eye on the computation cost. We have demonstrated the state-of-the-art performance of DeepSkinSeg in most metrics on dermoscopic images using the PH2 and Human Against Machine (HAM10000) datasets. The metrics of the DeepSkinSeg model were robustness measured as the Intersection over Union (IoU) at 91.49, Dice coefficient at 95.56, precision at 97.97, sensitivity at 96.84, and accuracy at 96.71 for the PH2 dataset. Other standard generalization capabilities for the HAM10000 dataset could be an IoU of 92.97, a Dice coefficient of 96.36, precision at 97.64, sensitivity at 95.10, and an accuracy of 94.59. DeepSkinSeg has a very efficient inference because the model itself is lightweight, proving to be very helpful for real-time dermatological analysis. This work further advanced the computer-aided diagnosis in the task of skin lesion classification, guaranteeing even more promising clinical applications. © 2025 The Author(s).

关键词： Computer aided diagnosis

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Normalized Least Dependent Difference: A Method in Solving Incorrectly Identified Monotonic Linearity Relationship in Linear Regression

Normalized Least Dependent Difference: A Method in Solving I...

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2025 International Workshop on Advanced Imaging technology, IWAIT 2025

作者： Yeap, Herrick Han Lin Lim, Le Ying Lim, Michelle Chee Ern Chow, Brandon Chen Hong Ong, Hui Yan Kimberly Eu, Kok Seng Yap, Kian Meng Research Centre for Human-Machine Collaboration Department of Computing and Information Systems School of Engineering and Technology Sunway University Bandar Sunway Petaling Jaya47500 Malaysia School of Engineering Faculty of Innovation & Technology Taylor's University Subang Jaya47500 Malaysia

ISBN: (数字)9781510688131

ISBN: (纸本)9781510688124

In machine learning, the reliability of an analytical method is crucial in validating the assumption of linearity for any linear regression *** existing analytical method of proving the assumption linearity, such as Pearson's Correlation Coefficient (PCC), Spearman's Rank Correlation Coefficient (SRCC) and Kendall's Tau Correlation Coefficient (KTCC), has its limitation as it does not work in monotonic relationship *** this paper, we propose a Normalized Least Dependent Difference (NLDD) method to improve the limitation of existing linearity method in identifying monotonic relationship *** calculating the difference between each data point and its predicted value on the regression line, we can determine how much the predicted value deviates from the observed value.A consistent difference between each data point and its predicted value, represented by a relative standard deviation in the y-axis that is near to its mean, suggests that the model accurately reflects the relationship between the dependent variable and the independent *** findings show that our NLDD is effective in identifying linearity in linear relationship graph and non-linearity in monotonic relationship graph. © 2024 SPIE.

关键词： Multiple linear regression

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Enhancing Smart Microgrid Resilience and Virtual Power Plant Profitability Through Hybrid IGWO-PSO Optimization With a Three-Phase Bidding Strategy

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IEEE Access 2025年 13卷 80796-80820页

作者： Yuvaraj, T. Sengolrajan, T. Prabaharan, Natarajan Devabalaji, K.R. Uehara, Akie Senjyu, Tomonobu Chennai Institute of Technology Centre for Smart Energy Systems Chennai600069 India Kongunadu College of Engineering and Technology Department of Electrical and Electronics Engineering Tiruchirappalli621215 India SASTRA Deemed University School of Electrical and Electronics Engineering Thanjavur613401 India Aarupadai Veedu Institute of Technology Vinayaka Missions Research Foundation Department of Electrical and Electronics Engineering Chennai603104 India University of the Ryukyus Faculty of Engineering Nishihara903-0213 Japan

The increasing energy demand and rising fossil fuel prices are accelerating the transition to renewable energy, supported by government initiatives due to their environmental and economic advantages. However, challenges such as limited capacity and stability constraints hinder the widespread adoption of distributed energy resources (DERs). Virtual Power Plants (VPPs) enhance market participation by aggregating DERs, while electric vehicles (EVs) contribute to environmental sustainability by reducing emissions. Additionally, integrating distribution static compensators (DSTATCOMs) within VPPs improves microgrid stability and reactive power support. This study proposes a two-stage optimization approach to enhance network resilience and VPP profitability in a radial distribution network (RDN). The first stage focuses on minimizing resilience-related costs and energy not supplied (ENS) during natural disasters, while the second stage optimizes VPP profit using a three-phase bidding strategy, which includes the day-ahead market, real-time market, and overall market. A hybrid improved grey wolf optimization-particle swarm optimization (IGWO-PSO) algorithm is developed to solve this complex optimization problem. To demonstrate the effectiveness of the proposed approach, IGWO-PSO is compared with other hybrid optimization algorithms. Validation on a modified IEEE 33-bus RDN confirms that the proposed model enhances VPP placement and sizing, leading to improved economic, operational, and resilience metrics. Furthermore, the model accounts for uncertainties in load demand, renewable generation, energy prices, and equipment availability, ensuring a robust and adaptable energy management strategy. © 2013 IEEE.

关键词： Particle swarm optimization (PSO)

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A Graph-Based Multimodal Fusion Framework for Assessment of Freezing of Gait in Parkinson's Disease

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IEEE Transactions on Neural systems and Rehabilitation engineering 2025年 33卷 1539-1549页

作者： Xu, Ningcun Wang, Chen Peng, Liang Zhou, Xiao-Hu Chen, Jingyao Cheng, Zhi Hou, Zeng-Guang Macau University of Science and Technology Faculty of Innovation Engineering CASIA-MUST Joint Laboratory of Intelligence Science and Technology Taipa China Institute of Automation State Key Laboratory of Multimodal Artificial Intelligence Systems Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences School of Artificial Intelligence Beijing100049 China

Freezing of Gait (FOG) is a significant symptom contributing to gait dysfunction in Parkinson's disease (PD) patients. Most current methods for assessing FOG severity often overlook the interpretability of the extracted gait features. In this study, we design a multimodal gait feature dataset with rich physical significance, including kinematics, kinetics, and spatiotemporal modalities. We also propose a graph-based multimodal fusion framework (GMFF) to accurately quantify FOG severity. GMFF employs the graph attention mechanism to extract modality-specific features and utilizes the generalized canonical correlation analysis (GCCA) algorithm as the core of the feature fusion module. We provide the double-hurdle output module to address the impact of the zero-inflation problem on the performance of GMFF. We evaluate the performance of GMFF on a public PD gait database using five-fold cross-validation. The results demonstrate that GMFF achieves an accuracy of 0.978 in identifying patients with FOG and a root mean square error of 0.449 in quantifying FOG severity. Using the interpretability of GMFF, we identify the gait feature set that effectively characterizes the gait patterns of PD patients and then explore the impact of FOG symptoms on their walking ability under both the 'ON' and 'OFF' medication states. Thus, this study has the potential to provide valuable insights into the clinical monitoring and management of PD patients. © 2001-2011 IEEE.

关键词： Mean square error

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