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Semi-analytical finite element method applied for characterizing micropolar fibrous composites

Applied Mathematics and Mechanics(English Edition) 2024年第12期45卷 2147-2164页

作者： J.A.OTERO Y.ESPINOSA-ALMEYDA R.RODRIGUEZ-RAMOS J.MERODIO School of Engineering and Sciences Monterrey Institute of TechnologyEstado de Mexico 52926Mexico Institute of Engineering and Technology Autonomous University of Ciudad JuarezCiudad JuarezChihuahua 32310Mexico Postgraduate Program in Computational Modeling in Science and Technology Federal Fluminense UniversityRıo de Janeiro 27255-125Brazil Faculty of Mathematics and Computer Science University of HavanaLa Habana 10400Cuba Department of Mathematics Applied to ICT School of Informatics Systems EngineeringTechnical University of MadridMadrid 28031Spain

A semi-analytical finite element method(SAFEM),based on the two-scale asymptotic homogenization method(AHM)and the finite element method(FEM),is implemented to obtain the effective properties of two-phase fiber-reinforced composites(FRCs).The fibers are periodically distributed and unidirectionally aligned in a homogeneous *** framework addresses the static linear elastic micropolar problem through partial differential equations,subject to boundary conditions and perfect interface contact *** mathematical formulation of the local problems and the effective coefficients are presented by the *** local problems obtained from the AHM are solved by the FEM,which is denoted as the *** numerical results are provided,and the accuracy of the solutions is analyzed,indicating that the formulas and results obtained with the SAFEM may serve as the reference points for validating the outcomes of experimental and numerical computations.

关键词： semi-analytical approach fiber-reinforced composite(FRC) effective property finite element method(FEM) asymptotic homogenization method(AHM) micropolar elasticity

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Selecting Nodes to Operate Relay Function for UAV Routing in Wireless Multi-Hop Network

Selecting Nodes to Operate Relay Function for UAV Routing in...

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2024 IEEE International Conference on Consumer Electronics, ICCE 2024

作者： Ohkawa, Shuto Ueda, Kiyoshi Miyoshi, Takumi Yamazaki, Taku Yamamoto, Ryo Nihon University Graduate School of Engineering Koriyama Japan Nihon University College of Engineering Koriyama Japan Shibaura Institute of Technology College of Systems Engineering and Science Saitama Japan The University of Electro-Communications Graduate School of Informatics and Engineering Tokyo Japan

ISBN: (纸本)9798350324136

Unmanned aerial vehicle (UAV) routing methods using networks composed of wireless multi-hop devices have been studied. When all nodes in the network are used as relay nodes for UAV, the number of hops in the route increases, and frequent messages are exchanged. In addition, it is assumed that unexpected collisions will occur on the links due to the complex intersections of links. For this reason, a node operating relay function for UAV is selected, and the node without relay function is treated as an end node. We propose a method that determines relay nodes randomly, methods based on the number of neighboring nodes, and a method based on MPR of the OLSR. For each method, we evaluate if the routes are constructed and the number of relay nodes, the total distance of the constructed routes, and the distance in the densely populated area. The characteristics of each method are clarified, and the MPR method is best for construct a network suitable for UAV's travel routes. © 2024 IEEE.

关键词： Ad-hoc Network Multi-hop Network UAV Delivery

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Computer vision and Generative AI for yield prediction in Digital Agriculture 2

Computer vision and Generative AI for yield prediction in Di...

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2nd IEEE International Conference on Networking and Communications, ICNWC 2024

作者： Majumder, Sayan Khandelwal, Yash Sornalakshmi, K. SRM Institute of Science and Technology School of Computing Faculty of Engineering and Technology Department of Data Science and Business Systems Kattankulathur Chennai603203 India

ISBN: (纸本)9798350365269

For the cause of evolution of agriculture to its next generation, the introduction of A.I. and data-driven approach is going to be an important part of the agricultural industry that as per our vision would offer numerous economic, environmental and social benefits. Controlled Environment Agriculture (CEA) is providing more benefits since the weather and other environmental conditions is controlled and predictable. In CEA, the benefits include enhanced productivity in yield, reduced environmental footprints and better resource management. Our solution uses the adoption of Generative AI to visually forecast the potential yield of a crop using stable diffusion and conditional prompts additionally implementing several Generative Adversarial Networks (GAN) architectures for data generation, augmentation and super-resolution. Our proposed system also adopts generative AI for real time monitoring of plants. studying their respective conditions and their autonomous cultivation and harvesting patterns. The dataset used contained over 8479 examples for different fruits alongside annotations. This data was used to train the detection models as well categorically feed the GANs for data generation. Data generated by DCGAN has a structural similarity of 0.5-0.7 whereas data generated by pix2pix network returns us a structural similarity of 0.7-0.9. © 2024 IEEE.

关键词： Cultivation

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Innovative Approaches to Task Scheduling in Cloud Computing Environments Using an Advanced Willow Catkin Optimization Algorithm

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Computers, Materials & Continua 2025年第2期82卷 2495-2520页

作者： Jeng-Shyang Pan Na Yu Shu-Chuan Chu An-Ning Zhang Bin Yan Junzo Watada College of Computer Science and Engineering Shandong University of Science and TechnologyQingdao266590China Department of Information Management Chaoyang University of TechnologyTaichung41349Taiwan College of Electronics Communication and PhysicsShandong University of Science and TechnologyQingdao266590China Graduate School of Information Production and SystemsWaseda UniversityKitakyushu808-0135Japan

The widespread adoption of cloud computing has underscored the critical importance of efficient resource allocation and management, particularly in task scheduling, which involves assigning tasks to computing resources for optimized resource utilization. Several meta-heuristic algorithms have shown effectiveness in task scheduling, among which the relatively recent Willow Catkin Optimization (WCO) algorithm has demonstrated potential, albeit with apparent needs for enhanced global search capability and convergence speed. To address these limitations of WCO in cloud computing task scheduling, this paper introduces an improved version termed the Advanced Willow Catkin Optimization (AWCO) algorithm. AWCO enhances the algorithm’s performance by augmenting its global search capability through a quasi-opposition-based learning strategy and accelerating its convergence speed via sinusoidal mapping. A comprehensive evaluation utilizing the CEC2014 benchmark suite, comprising 30 test functions, demonstrates that AWCO achieves superior optimization outcomes, surpassing conventional WCO and a range of established meta-heuristics. The proposed algorithm also considers trade-offs among the cost, makespan, and load balancing objectives. Experimental results of AWCO are compared with those obtained using the other meta-heuristics, illustrating that the proposed algorithm provides superior performance in task scheduling. The method offers a robust foundation for enhancing the utilization of cloud computing resources in the domain of task scheduling within a cloud computing environment.

关键词： Willow catkin optimization algorithm cloud computing task scheduling opposition-based learning strategy

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EXPERIMENTAL STUDY ON APPLICABILITY OF TRIBOELECTRIC FILM SENSORS FOR INTEGRITY MONITORING OF SHEAR BOLTED JOINTS

EXPERIMENTAL STUDY ON APPLICABILITY OF TRIBOELECTRIC FILM SE...

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ASME 2024 Pressure Vessels and Piping Conference, PVP 2024

作者： Wang, Chu Miura, Nanako Hiraga, Motoaki Masuda, Arata Division of Engineering Design Graduate School of Science and Technology Kyoto Institute of Technology Matsugasaki Sakyo-ku Kyoto Japan Faculty of Mechanical Engineering Kyoto Institute of Technology Japan

ISBN: (纸本)9780791888513

Many structures such as bridges, buildings, or automobiles use various joining methods such as screws, rivets, welding, gluing, and caulking to join members together. In particular, the shear bolted joints is widely used as a joining method that facilitates assembly and disassembly, while being accompanied by a troublesome problem of bolt loosening due to repeated shear force. In the previous study, we proposed a self-powered film-shaped triboelectric sensor made of inexpensive materials, being installed between the contact surfaces at the joint, to monitor the loosening of tensile bolted joints. The principle of the sensor is that it detects microscale relative motions between the contacting surfaces at the joint as the triboelectric induced voltage, when the integrity of the joint is deteriorated due to the decrease in the bolt’s fastening force. In this study, we apply our sensor to shear bolted joints. A sensor is designed, fabricated, and tested in a single-bolt shear joint subjected to lateral shear forces. As a fundamental experiment, we designed a drop test to apply a lateral impact to bolted structures, simulating the lateral loads experienced by bolted assemblies in real-world situations. Under various fastening forces of the bolt, we observed the sensor’s voltage output when subjected to the same impact force or lateral load. The analysis focuses on the relationship between the sensor’s voltage output signal, the impact, and the fastening force of the bolted structure. © 2024 by ASME.

关键词： Joining

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A Proposal and Evaluation of Learning Advising using a Generative AI 31

A Proposal and Evaluation of Learning Advising using a Gener...

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31st International Conference on Computers in Education, ICCE 2023

作者： Takano, Yasuomi Tsurube, Taketo Ueno, Haruki Komatsugawa, Hiroshi Graduate School of Science and Engineering Chitose Institute of Science and Technology Japan Faculty of Science and Technology Chitose Institute of Science and Technology Japan

ISBN: (纸本)9786269689026

In this paper, we propose and evaluate a method in which learner's learning history and information about goal setting and reflection are provided as prompts to Large Language Models (LLM) that enables automated learning advice generated. The proposed approach allows us to generate advice messages that are relevant to the learner's learning properties, using learners' own sentences for reflections and goal settings. The generated advice is evaluated from the point of view whether it is similar to the actual teacher's one. © 2023 Asia-Pacific Society for Computers in Education.

关键词： Learning systems

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Multimodal attention-driven visual question answering for Malayalam

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Neural Computing and Applications 2024年第24期36卷 14691-14708页

作者： Kovath, Abhishek Gopinath Nayyar, Anand Sikha, O.K. Department of Computer Science and Engineering Amrita School of Computing Coimbatore Amrita Vishwa Vidyapeetham Coimbatore India Graduate School Faculty of Information Technology Duy Tan University Da Nang550000 Viet Nam

Visual question answering is a challenging task that necessitates for sophisticated reasoning over the visual elements to provide an accurate answer to a question. Majority of the state-of-the-art VQA models are only applicable to English questions. However, applications such as visual assistance and tourism necessitate the incorporation of multilingual VQA systems. This paper presents an effective deep learning framework for Malayalam visual question answering (MVQA), which can answer a specific natural language question about an image in Malayalam. As there is no available dataset in English–Malayalam VQA, a MVQA dataset was created by translating English question–answer pairs from the visual genome dataset. The paper proposes an attention-driven MVQA model on the developed dataset. The proposed MVQA model uses a deep learning-based co-attention mechanism to jointly learn the attention for images and Malayalam questions. A second-order multimodal factorized high-order pooling is used for multi modal feature fusion. Different VQA models using combinations of classical CNNs and RNNs were experimented on the developed MVQA dataset, and the performance was compared against the proposed attention-driven model. Experimental results show that the proposed attention-driven MVQA model achieves state-of-the-art results as compared to other models for MVQA on the custom Malayalam VQA dataset. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Deep learning

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Volt-Var Control for Utility-scale Solar PV Plants to Replace SVCs 4

Volt-Var Control for Utility-scale Solar PV Plants to Replac...

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4th International Conference on High Voltage engineering and Power systems, ICHVEPS 2023

作者： Shimomukai, Ken Maeda, Haruka Fujita, Goro Shibaura Institute of Technology Functional Control Systems Graduate School of Engineering and Science Tokyo Japan Shibaura Institute of Technology Graduate School of Engineering and Science Department of Electrical Engineering and Computer Science Tokyo Japan Shibaura Institute of Technology Department of Electrical Engineering Tokyo Japan

ISBN: (纸本)9798350318678

One way to increase solar photovoltaic penetration in the grid is management of voltage fluctuations. This is because a photovoltaic plant cannot be interconnected to the grid if it causes voltage violations. Voltage violation is where voltage exceeds the acceptable range. Often, grid operators request photovoltaic plant owners to regulate voltage sufficiently with expensive and space-consuming static Var compensators. Unfortunately, this sometimes makes the project less feasible. This paper argues that there are better ways to regulate voltage. We ran a simulation with a 70 MWp photovoltaic plant as an addition to the grid. Without voltage regulation, voltage violations were found to be significant. This paper found that oversizing the inverter sufficiently would remove all voltage violations without deploying a static Var compensator. This is often a cheaper and space-saving solution for voltage management. This paper argues that economics and spatial efficiency of reactive power compensation devices is key to increasing photovoltaic penetration. © 2023 IEEE.

关键词： Reactive power

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An Interpretable Fine-Tuned BERT Approach for Phishing URLs Detection: A Superior Alternative to Feature engineering 11

An Interpretable Fine-Tuned BERT Approach for Phishing URLs ...

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11th IEEE International Conference on Social Networks Analysis, Management and Security, SNAMS 2024

作者： Wei, Yi Nakayama, Masaya Sekiya, Yuji Graduate School of Engineering The University of Tokyo Department of Electrical Engineering and Information Systems Tokyo Japan The University of Tokyo Information Technology Center Tokyo Japan Graduate School of Information Science and Technology The University of Tokyo Tokyo Japan

ISBN: (纸本)9798331518349

Phishing is a kind of cybercrime that deceives online users into disclosing confidential information, leading to identity theft and financial loss. Attackers typically use a wide range of vectors to spread phishing links, further increasing the reach and effectiveness of these malicious campaigns. As this threat continues to grow, artificial intelligence strategies have emerged as a promising solution for phishing detection in recent years. However, traditional methods that require substantial manual feature engineering have been observed to be dataset-dependent and lack generalization to unknown or newly evolving phishing attacks. To address these limitations, this study proposes a fine-Tuned BERT model-based phishing detection approach utilizing a novel tokenization method and providing interpretable outputs. By thoroughly searching the latest publicly available datasets, the generalization capabilities of both feature engineering methodologies and the proposed approach are tested. The experimental results demonstrate its effectiveness, significantly surpassing feature engineering, and ensuring the approach remains robust in generalizing across different datasets. © 2024 IEEE.

关键词： Phishing

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Fuzzy clustering for electric field characterization and its application to thunderstorm interpretability

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Digital Communications and Networks 2025年第2期11卷 299-307页

作者： Xu Yang Hongyan Xing Xinyuan Ji Wei Xu Witold Pedrycz School of Electronics and Information Engineering Nanjing University of Information Science and TechnologyNanjing 210044China Department of Electrical and Computer Engineering University of AlbertaEdmonton AB T6G 2R3Canada Systems Research Institute Polish Academy of Sciences00-901 WarsawPoland Department of Computer Engineering Faculty of Engineering and Natural SciencesIstinye University34010 IstanbulTurkey

Changes in the Atmospheric Electric Field Signal(AEFS)are highly correlated with weather changes,especially with thunderstorm ***,little attention has been paid to the ambiguous weather information implicit in AEFS *** this paper,a Fuzzy C-Means(FCM)clustering method is used for the first time to develop an innovative approach to characterize the weather attributes carried by ***,a time series dataset is created in the time domain using AEFS *** AEFS-based weather is evaluated according to the time-series Membership Degree(MD)changes obtained by inputting this dataset into the ***,thunderstorm intensities are reflected by the change in distance from a thunderstorm cloud point charge to an AEF ***,a matching relationship is established between the normalized distance and the thunderstorm dominant MD in the space ***,the rationality and reliability of the proposed method are verified by combining radar charts and expert *** results confirm that this method accurately characterizes the weather attributes and changes in the AEFS,and a negative distance-MD correlation is obtained for the first *** detection of thunderstorm activity by AEF from the perspective of fuzzy set technology provides a meaningful guidance for interpretable thunderstorms.

关键词： Atmospheric electric field(AEF) Thunderstorm Fuzzy C-means(FCM) Attribute

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