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Articles de revues sur le sujet « Modal stacking »

Auteur : Grafiati

Publié le 2 juin 2025

Mis à jour le 31 juillet 2025

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1

Yoon, Taeyoung, and Daesung Kang. "Multi-Modal Stacking Ensemble for the Diagnosis of Cardiovascular Diseases." Journal of Personalized Medicine 13, no. 2 (2023): 373. http://dx.doi.org/10.3390/jpm13020373.

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Background: Cardiovascular diseases (CVDs) are a leading cause of death worldwide. Deep learning methods have been widely used in the field of medical image analysis and have shown promising results in the diagnosis of CVDs. Methods: Experiments were performed on 12-lead electrocardiogram (ECG) databases collected by Chapman University and Shaoxing People’s Hospital. The ECG signal of each lead was converted into a scalogram image and an ECG grayscale image and used to fine-tune the pretrained ResNet-50 model of each lead. The ResNet-50 model was used as a base learner for the stacking ensembl

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V Pujar, Nagabhushan, N. V. Nanjundaradhya, and Ramesh S. Sharma. "Experimental investigation of the tensile and modal properties of epoxy based symmetric interlayer glass/carbon hybrid composites." Materials Research Express 9, no. 2 (2022): 025304. http://dx.doi.org/10.1088/2053-1591/ac4f88.

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Abstract: Interlayer hybrid composites can be tailored for enhanced strength and stiffness. Research on enhancing the mechanical properties of Interlayer hybrid composites is being explored by varying fiber orientations, layup sequence, different type of fiber materials. The objective of this work is to investigate the effect of stacking sequence of the high modulus carbon fibers on the tensile and modal properties of symmetric glass/carbon fiber interlayer composite. The interlayer hybrid composites were fabricated for different stacking sequence of carbon fibers using hand layup technique. T

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Majid, Dayang Laila, Mohd Norhasani Abdullah Sani, Faizal Mustapha, Hafiz Hanafi, and Mohamed Thariq Hameed Sultan. "Modal Properties of a Cantilevered Laminated Woven Composite Plate as Affected by Stacking Sequence and Fiber Orientation: An Experimental Study." Applied Mechanics and Materials 225 (November 2012): 132–37. http://dx.doi.org/10.4028/www.scientific.net/amm.225.132.

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The use of laminated composites in aircraft structures is not totally new. However, the idea of using woven fiber glass as reinforcement in primary structural members is not widely addressed as compared to unidirectional fibers. In an effort to characterize the dynamic behavior of a woven laminated composite subject to dynamic loads, modal testing is performed experimentally on a cantilevered laminated woven glass fiber/epoxy composite flat plate which resembles an aircraft wing with aspect ratio of 5. To that end, the effect of stacking sequence and fiber orientation of the laminated composit

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Li, Chaoqun, Zao Feng, Mingkai Jiang, and Zhenglang Wang. "A Zero-Shot Learning Approach for Blockage Detection and Identification Based on the Stacking Ensemble Model." Sensors 24, no. 17 (2024): 5596. http://dx.doi.org/10.3390/s24175596.

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A data-driven approach to defect identification requires many labeled samples for model training. Yet new defects tend to appear during data acquisition cycles, which can lead to a lack of labeled samples of these new defects. Aiming at solving this problem, we proposed a zero-shot pipeline blockage detection and identification method based on stacking ensemble learning. The experimental signals were first decomposed using variational modal decomposition (VMD), and then, the information entropy was calculated for each intrinsic modal function (IMF) component to construct the feature sets. Seco

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Ma, Xiao Fei, Fu Lei Huo, and Guo Li Zhang. "Effects of Stacking Sequence on the Dynamic Characteristics of Hybrid Sandwich Composites Plates." Applied Mechanics and Materials 423-426 (September 2013): 1283–86. http://dx.doi.org/10.4028/www.scientific.net/amm.423-426.1283.

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In this paper, the vibration performance of hybrid sandwich composites plates with different stacking was investigated by modal test. The results showed that the reduction in layer numbers of the unidirectional carbon fiber epoxy prepreg in 0odirection will result the decrease in the natural frequency values for bending modal, the increment of layer numbers of 2D woven epoxy prepreg with plain weave will result the enhancement the of torsional modal. The reinforcements of unidirectional carbon fiber epoxy prepreg in ±45odirection has a preferential effect on the torsional modal natural frequen

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Shaker, Hala, and Salah Al-Darraji. "Face Anti-Spoofing Detection with Multi-Modal CNN Enhanced by ResNet." Basrah Researches Sciences 50, no. 1 (2024): 12. http://dx.doi.org/10.56714/bjrs.50.1.7.

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The growing prevalence of face recognition technology in various applications, including mobile devices, access control, and financial transactions, highlights its importance. However, the vulnerability of face recognition systems to attacks has been demonstrated, underscoring the necessity of addressing potential weaknesses that attackers may exploit. The paper delves into face presentation attack detection (PAD) within biometric systems, which is crucial for ensuring the reliability and security of face recognition algorithms. To address this issue, the paper proposes a method for face prese

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Kumar, Dhotre Pavan, and Chikkol V. Srinivasa. "Modal Characterization of Sandwich Skew Plates." Acta Mechanica et Automatica 15, no. 3 (2021): 143–53. http://dx.doi.org/10.2478/ama-2021-0019.

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Abstract The current work focuses on the experimental and finite element free vibration studies of laminated composite sandwich skew plates. The comparison was made between the experimental values obtained by the Fast Fourier transform (FFT) analyzer and a finite element solution obtained from CQUAD8 finite element of The MacNeal-Schwendler Corporation (MSC) / NASA STRucture Analysis (NASTRAN) software. The influence of parameters such as aspect ratio (AR) (a/b), skew angle (α), edge condition, laminate stacking sequence, and fiber orientation angle (θ°) on the natural frequencies of sandwich

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Chiluveri, Vishnu. "Space Object Recognition Using Multi-modal Image Fusion and Stacking of CoAtNets." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 2665–72. http://dx.doi.org/10.22214/ijraset.2024.60430.

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Abstract: Produced merged thermal images with RGB and depth images by using the CoAtNet model or stacked Convolutional and Attention Network, so as to give an improvement in performance to preserve the robustness all the time in different thermal conditions of space. The proposed research then extends the conventional RGB-depth fusion with thermal data to realize the role of thermal characteristics in the identification of material properties and operational status of space objects. This will allow for the very comprehensive capture of spatial and thermal features that are very essential in th

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Etxepare Igiñitz, Ricardo, and Myriam Uribe-Etxebarria. "Word order and syntactic asymmetries in Basque modal constructions." Fontes Linguae Vasconum, no. 126 (December 21, 2018): 389–414. http://dx.doi.org/10.35462/flv126.5.

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This work focuses on a subset of modal constructions in Basque: those involving the necessity modal behar (‘need/must’/‘have to’). Behar can take either a DP or an uninflected clause as its complement. Uninflected clauses can, in some varieties of Basque, naturally occur preceding or following the predicate. Etxepare and Uribe-Etxebarria (2009) show that the differences in word order correlate with a number of intriguing syntactic asymmetries. In this paper, we extend the relevant observations to include modal stacking, as well as the effect of complement-internal left peripheral elements in t

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Ahmed, Sohail, and M. N. Ahmed. "Modal Analysis of Thin Walled Multi-Cell Multi-Tapered Composite Beams of Closed Cross Sections." Applied Mechanics and Materials 629 (October 2014): 82–88. http://dx.doi.org/10.4028/www.scientific.net/amm.629.82.

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This paper explicitly highlights the modal analysis of thin walled multi-cell multi-tapered composite beams in cantilever configurations, using MSC Patran / Nastran finite element package. Initially, the verification of the model was done with the analytical results in order to ensure the model accuracy. All the multi-tapered beams under examination are composed of closed section and three cell configuration. There is a vivid description of all the effects of composite material and stacking sequence on the modal frequencies. It also suggests the ways to shift the natural frequencies of the mul

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Zhang, Jin Guang, Yi Zeng, Guo Liang Zhang, Yao Cheng Fang, Ye Fa Hu, and Yan Xu. "Research on CFRP Periscope Outer Tube." Advanced Materials Research 750-752 (August 2013): 59–63. http://dx.doi.org/10.4028/www.scientific.net/amr.750-752.59.

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According to the structure and mechanical characteristics, a CFRP (carbon fiber reinforced plastic) periscope outer tube was designed. The parameters were determined such as fiber orientation angles, number of layers, proportion of fiber with different angles, and stacking sequences. A finite element model was built for the analysis of bending strength and modal. A CFRP periscope outer tube specimen was processed for the bending performance test. The results of simulation and experiments show that the CFRP periscope outer tube could meet the requirements.

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Yang, Yifeng, Long Wei, Ying Hu, Yan Wu, Liangyun Hu, and Shengdong Nie. "Classification of Parkinson's disease based on multi-modal features and stacking ensemble learning." Journal of Neuroscience Methods 350 (February 2021): 109019. http://dx.doi.org/10.1016/j.jneumeth.2020.109019.

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Bensahal, Djamel, Mohamed Nadir Amrane, and Mounir Kharoubi. "A Study on Damping of Laminated Beams by Modal Analysis." Key Engineering Materials 550 (April 2013): 33–40. http://dx.doi.org/10.4028/www.scientific.net/kem.550.33.

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The paper presents an analysis of the damping of laminated beams with four different stacking sequences. The experimental investigation was conducted using tensile cyclic tests for different laminates studied. The impulse technique was chosen to perform modal analysis of the ease of implementation and quickness of the test. The numerical analysis is performed by the finite element method using beam element. The difference between strain energies for both cases damaged and undamaged are calculated by the finite element method. The structural damping of the different beams is evaluated from thes

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Van Eecke, Paul. "Robust processing of the Dutch verb phrase." Constructions and Frames 9, no. 2 (2017): 226–50. http://dx.doi.org/10.1075/cf.00003.van.

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Abstract The Dutch verb phrase (VP) is notorious for its syntactic intricacies. There are three main reasons why it is difficult to robustly handle its complexity in a processing model. First of all, a single VP can contain multiple modal auxiliaries (‘modal stacking’). Second, perfect auxiliaries can not only take a past participle as their argument but also a modal auxiliary in the infinitive form. Finally, there are various word orders in which the verb forms can appear. The first part of this paper presents a fully operational precision processing model of the Dutch VP in Fluid Constructio

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Houmat, A. "Three-dimensional solutions for free vibration of variable stiffness laminated sandwich plates with curvilinear fibers." Journal of Sandwich Structures & Materials 22, no. 3 (2018): 896–925. http://dx.doi.org/10.1177/1099636218778731.

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This paper is concerned with the free vibration of variable stiffness laminated sandwich plates with curvilinear fibers. The three-dimensional elasticity theory and the p-version of the finite element method are adopted for the analysis. The skin is composed of one or more plies with curvilinear fibers. The fiber path orientation angle in a ply is assumed to vary linearly with the x coordinate. The plies may be stacked symmetrically or anti-symmetrically with respect to the middle surface of the plate. Each layer is modeled as one brick p-element. The principle of virtual displacements is used

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Tong, Xin, Bo Jin, Jingya Wang, Ying Yang, Qiwei Suo, and Yong Wu. "MM-ConvBERT-LMS: Detecting Malicious Web Pages via Multi-Modal Learning and Pre-Trained Model." Applied Sciences 13, no. 5 (2023): 3327. http://dx.doi.org/10.3390/app13053327.

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In recent years, the number of malicious web pages has increased dramatically, posing a great challenge to network security. While current machine learning-based detection methods have emerged as a promising alternative to traditional detection techniques. However, these methods are commonly based on single-modal features or simple stacking of classifiers built on various features. As a result, these techniques are not capable of effectively fusing features from different modalities, ultimately limiting the detection effectiveness. To address this limitation, we propose a malicious web page de

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Gao, Dongfei. "A deep learning approach for energy management systems in smart buildings towards a low-carbon economy." International Journal of Low-Carbon Technologies 20 (2025): 1136–42. https://doi.org/10.1093/ijlct/ctaf063.

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Abstract Addressing the issue of cold load prediction in building energy systems, a multi-modal fusion deep learning approach is proposed. This method constructs input feature sets of three different modalities: sequence-like, image-like, and video-like, and employs bidirectional gated recurrent units, spatiotemporal neural networks, and 3D convolutional neural networks. Additionally, this paper introduces a multi-modal late fusion strategy based on stacking ensemble learning. Experimental results demonstrate that this method performs exceptionally well in cold load prediction tasks, achieving

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Hu, Bo, and Hong Chen. "Subject Raising in Chinese Modal Auxiliary Verb Constructions: A-movement or A′-movement?" Studies in Chinese Linguistics 43, no. 1 (2022): 39–71. http://dx.doi.org/10.2478/scl-2022-0003.

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Abstract Subject raising in Chinese modal auxiliary verb constructions can be either A-movement or A′-movement. Modal auxiliary verbs such as hui and yao can take a nonfinite TP complement which cannot value the abstract case of the embedded subject. Hence the embedded subject must get its case valued by the matrix T and is raised to the Spec-TP of the matrix clause. This kind of raising is A-movement and is obligatory. Modal auxiliary verbs such as keneng and yinggai take a finite CP complement that can be assigned tense value by the broader context. The embedded subject can get its case valu

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Rathika, M., M. Mahesh Kumar, S. Paul Vizhian, B. Gangadhar Shetty, and M. Krishna. "The Effect of Damages on Modal Frequencies of Flat Glass Fiber Reinforced Polyurethane Foam Sandwich Structures." Journal of Physics: Conference Series 2748, no. 1 (2024): 012010. http://dx.doi.org/10.1088/1742-6596/2748/1/012010.

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Abstract In this research work, experimental and numerical analyses were conducted to ascertain the impact of damages on modal frequencies of sandwich structure. The structure consists of laminated E/glass epoxy face sheets with [0°/90°]s stacking sequences and polyurethane foam core. The fabrication processes involved are hand layup technique, mold filling process and the use of adhesives to assemble the structure. Damages introduced during fabrication, encompassing core damage, delamination between face sheets and core and impact damage. Experimental modal testing was conducted on four disti

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Laaouidi, H., M. Tarfaoui, M. Nachtane, and O. Lagdani. "Modal analysis of composite nozzle for an optimal design of a tidal current turbine." Journal of Naval Architecture and Marine Engineering 18, no. 1 (2021): 39–54. http://dx.doi.org/10.3329/jname.v18i1.53193.

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Monitoring of structural vibrations and operational modal analysis are clearly essential to effectively control structural safety and the operational behavior of tidal current turbines. In order to satisfy industrial requirements, generally related to a mass gain problem, hybridization provides an excellent method to improve the breaking strength of composite materials, while keeping adequate mechanical performance for marine renewable energy applications. In this context, this work aims to study the structural modal analysis of a tidal turbine nozzle and the effect of hybrid materials (carbon

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Rajesh, M., Savendra P. Singh, and Jeyaraj Pitchaimani. "Mechanical behavior of woven natural fiber fabric composites: Effect of weaving architecture, intra-ply hybridization and stacking sequence of fabrics." Journal of Industrial Textiles 47, no. 5 (2016): 938–59. http://dx.doi.org/10.1177/1528083716679157.

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A comprehensive analysis carried out on the mechanical and free vibration properties of woven natural fiber polymer composites is presented. Jute fabric with three different weave types (plain, basket and herringbone) and intra-ply woven jute-banana fabrics are considered for investigation of the effect of weave type of a fabric and its stacking sequence on mechanical, dynamic mechanical and free vibration properties. Enhancement of the properties is found with the number of layers of fabric and better properties obtained for four layers. Uniform stress distribution along warp and weft directi

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Latalski, Jarosław, Marcin Bocheński, and Jerzy Warmiński. "Control of Bending-Bending Coupled Vibrations of a Rotating Thin-Walled Composite Beam." Archives of Acoustics 39, no. 4 (2015): 605–13. http://dx.doi.org/10.2478/aoa-2014-0065.

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Abstract The paper presents a study of a possible application of structure embedded piezoelectric actuators to enhance the performance of a rotating composite beam exhibiting the coupled flexural-flexural vibrations. The discussed transversal and lateral bending modal coupling results from the directional properties of the beam's laminate and ply stacking distribution. The mathematical model of the beam is based on an assumption of cross-sectional non-deformability and it incorporates a number of non-classical effects. The final 1-D governing equations of an active composite beam include both

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Younis, Eman M. G., Someya Mohsen Zaki, Eiman Kanjo, and Essam H. Houssein. "Evaluating Ensemble Learning Methods for Multi-Modal Emotion Recognition Using Sensor Data Fusion." Sensors 22, no. 15 (2022): 5611. http://dx.doi.org/10.3390/s22155611.

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Automatic recognition of human emotions is not a trivial process. There are many factors affecting emotions internally and externally. Expressing emotions could also be performed in many ways such as text, speech, body gestures or even physiologically by physiological body responses. Emotion detection enables many applications such as adaptive user interfaces, interactive games, and human robot interaction and many more. The availability of advanced technologies such as mobiles, sensors, and data analytics tools led to the ability to collect data from various sources, which enabled researchers

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Lin, Yu Hua, and Chia Lung Chang. "Using Modal Analysis and Optimization to Determine Elastic Constants of Thick Composite Plates." Key Engineering Materials 419-420 (October 2009): 473–76. http://dx.doi.org/10.4028/www.scientific.net/kem.419-420.473.

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This paper presents an inverse method to derive the elastic constants of thick composite plates from the resonance frequencies of a free-edge test specimen based on modal vibration test. A mixed numerical experimental identification procedure is used for this purpose. The sum of the squared differences between the experimental frequencies and analytical frequencies from finite element method is chosen as the objective function. The optimization techniques, Hybrid Genetic /Simulated Annealing algorithm, have been applied to determine the elastic constants. As the objective function reaches its

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Li, Qiang. "Prediction of Ultimate Bearing Capacity of Oil and Gas Wellbore Based on Multi-Modal Data Analysis in the Context of Machine Learning." International Journal of Information Technologies and Systems Approach 16, no. 3 (2023): 1–13. http://dx.doi.org/10.4018/ijitsa.323195.

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As important research for drilling engineering, the prediction of oil and gas shaft lining conditions is changing from the traditional method based on the mechanism model to the intelligent prediction method combining the mechanism model with the data model. Therefore, this paper establishes a stacking integrated model for predicting the uniaxial compression strength (UCS) of rock based on four basic parameters that can reflect the characteristics of rock mass. At the same time, the expectation-maximation (EM) algorithm is used to optimize the hidden Markov models (HMM), and a fuzzy random mod

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Kim, Tae-Yeob, Sung-Won Yoon, Je-Hyoung Cho, Yun-Hae Kim, and Myung-Hyun Kim. "Vibration characteristics of filament wound composite tubes applied to the intermediate shaft in ship propulsion system." Modern Physics Letters B 33, no. 14n15 (2019): 1940029. http://dx.doi.org/10.1142/s0217984919400293.

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In this study, the CFRP shafts made up of T700-SC multilayered composites have been designed to replace the steel shaft of a ship. An important design variable to be considered when designing composite material intermediate shafts is the natural frequency for resonance avoidance at critical rotational speed and torsional strength for axial load. In order to satisfy these, strength and modal analysis were performed. In order to minimize the deformation of the shape due to the residual stress after mandrel removal, it was laminated by axial symmetry. The fibers orientation angle has a great infl

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Guo, Yan, Yanan Jiang, Bin Huang, and Ji Wang. "Transverse Vibration Analysis of Composite Plates with Multiple Distributed Composite Patches." Shock and Vibration 2020 (November 27, 2020): 1–17. http://dx.doi.org/10.1155/2020/6618983.

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Transverse vibration of rectangular composite plates with multiple distributed composite patches is analyzed in this paper. Because of the geometric discrepancy between the plate and patch, analytical solutions are usually hard to achieve. The present model is formulated by using the Rayleigh–Ritz method and adopting various types of modal shape functions of uniform beam as admissible functions for different boundary conditions. The total system energies are calculated by adding the energies of the substrate plate and the energies of the patches. By imposing the displacement-matching condition

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Shao, Zhuang, Jiahui Wan, and Linlin Zong. "A Video Question Answering Model Based on Knowledge Distillation." Information 14, no. 6 (2023): 328. http://dx.doi.org/10.3390/info14060328.

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Video question answering (QA) is a cross-modal task that requires understanding the video content to answer questions. Current techniques address this challenge by employing stacked modules, such as attention mechanisms and graph convolutional networks. These methods reason about the semantics of video features and their interaction with text-based questions, yielding excellent results. However, these approaches often learn and fuse features representing different aspects of the video separately, neglecting the intra-interaction and overlooking the latent complex correlations between the extra

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Cosco, Francesco, Giuseppe Serratore, Francesco Gagliardi, Luigino Filice, and Domenico Mundo. "Experimental Characterization of the Torsional Damping in CFRP Disks by Impact Hammer Modal Testing." Polymers 12, no. 2 (2020): 493. http://dx.doi.org/10.3390/polym12020493.

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Composite materials are widely used for their peculiar combination of excellent structural, mechanical, and damping properties. This work presents an experimental study on the dissipation properties of disk-shaped composite specimens exploiting vibration tests. Two different polymer matrix composites with the same number of identical laminae, but characterized by different stacking sequences, namely unidirectional and quasi-isotropic configurations, have been evaluated. An ad-hoc steel structure was designed and developed to reproduce an in-plane torsional excitation on the specimen. The main

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Dou, Yukuan, Jinguang Zhang, Xianglong Wen, Hui Cheng, and Haixin Liu. "Free Vibration Characteristics of CFRP Laminate with One-Dimensional Periodic Structures." Polymers 15, no. 5 (2023): 1118. http://dx.doi.org/10.3390/polym15051118.

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This paper proposes an approach of stacking prepreg periodically for carbon fiber-reinforced polymer composites (CFRP) laminate. This paper will discuss the natural frequency, modal damping, and vibration characteristics of CFRP laminate with one-dimensional periodic structures. The damping ratio of CFRP laminate is calculated using the semi-analytical method which combines modal strain energy with the finite element method. The finite element method is used to calculate the natural frequency and bending stiffness which are verified with experiments. The numerical results of the damping ratio,

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Dillinger, Johannes K. S., Yasser M. Meddaikar, Jannis Lübker, Manuel Pusch, and Thiemo Kier. "Design and Optimization of an Aeroservoelastic Wind Tunnel Model." Fluids 5, no. 1 (2020): 35. http://dx.doi.org/10.3390/fluids5010035.

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Through the combination of passive and active load alleviation techniques, this paper presents the design, optimization, manufacturing, and update of a flexible composite wind tunnel model. In a first step, starting from the specification of an adequate wing and trailing edge flap geometry, passive, static aeroelastic stiffness optimizations for various objective functions have been performed. The second optimization step comprised a discretization of the continuous stiffness distributions, resulting in manufacturable stacking sequences. In order to determine which of the objective functions i

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Sakamoto, Yasuhiro, and Osamu Terasaki. "A layer stacking with large repeating unit in multi-modal cage-type anionic-surfactant-templated silica mesoporous crystal." Solid State Sciences 13, no. 4 (2011): 762–67. http://dx.doi.org/10.1016/j.solidstatesciences.2010.04.006.

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Sun, Rongjian, Conggan Ma, Nic Zhang, Chuyo Kaku, Yu Zhang, and Qirui Hou. "A novel forward computational modal analysis method of the motor stator assembly considering core lamination and winding stacking." Mechanical Systems and Signal Processing 208 (February 2024): 110920. http://dx.doi.org/10.1016/j.ymssp.2023.110920.

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Murugan, R., Rajagopal Ramesh, and K. Padmanabhan. "Investigation on Vibration Behaviour of Cantilever Type Glass/Carbon Hybrid Composite Beams at Higher Frequency Range Using Finite Element Method." Advanced Materials Research 984-985 (July 2014): 257–65. http://dx.doi.org/10.4028/www.scientific.net/amr.984-985.257.

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Woven fabric composites are now being increasingly used in aircraft and automobile structures due to balanced properties in the fabric plane. In the present work, woven fabric glass beam is modified and strengthened by interplying high modulus carbon fabric plies for improving the strength to weight ratio and thereby to achieve better performance in various dynamic conditions. The objective of the present work is to investigate the vibration behavior of cantilever type glass/carbon hybrid composite beams subjected to higher frequency of operation using finite element method. Unit plied woven f

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Sciomenta, Martina, Vincenzo Rinaldi, Chiara Bedon, and Massimo Fragiacomo. "Application of Modal-Displacement Based Design Method to Multi-Story Timber Blockhaus Structures." Applied Sciences 10, no. 11 (2020): 3889. http://dx.doi.org/10.3390/app10113889.

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Structures under seismic excitation undergo different inter-story drift levels that can be associated to damage of both structural and non-structural elements, and thus to the expected losses. The Modal-Displacement Based Design (DBD) procedure, in this regard, has been developed to fix major issues of Force Based Design (FBD) approaches, thus to design multi-story buildings in which the inter-story drift can allow one to control damage mechanisms. In this paper, the conventional Modal-DBD methodology is applied to multi-story timber buildings constructed using the Blockhaus technology. Given

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Fasana, Alessandro, Alessandro Ferraris, Andrea Giancarlo Airale, Davide Berti Polato, and Massimiliana Carello. "Experimental Characterization of Damped CFRP Materials with an Application to a Lightweight Car Door." Shock and Vibration 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/7129058.

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This paper presents a complete design procedure for defining a dynamic model of a Carbon Fibre Reinforced Polymer (CFRP) component with an embedded damping material layer. The experiment to determine the mechanical characteristics of the materials is performed by the Oberst beam technique to provide precise material properties for a Finite Element (FE) model. The technique implemented, namely, the Linear Identification by Polynomial Expansion in the Z-domain (LIPEZ) method, is used to compare the experimental data with the numerical simulation results provided by the modal parameters to be com

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Selvaraj, Rajeshkumar, Kamesh Gupta, Shubham Kumar Singh, Ankur Patel, and Manoharan Ramamoorthy. "Free vibration characteristics of multi-core sandwich composite beams: Experimental and numerical investigation." Polymers and Polymer Composites 29, no. 9_suppl (2021): S1414—S1423. http://dx.doi.org/10.1177/09673911211057679.

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This study investigates the free vibration responses of laminated composite sandwich beam with multi-cores using experimental and numerical methods. The laminated composite face sheets are made by using hand layup method. An experimental modal test has been carried for different configurations of multi-core sandwich beams under different end conditions. The single-core and multi-core sandwich beams has been modeled and the natural frequencies of sandwich beams are determined using ANSYS software. The numerical model is verified by comparing the obtained natural frequencies with experimental re

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Kulhavy, Petr, Michal Petru, and Martina Syrovatkova. "Possibilities of the Additional Damping of Unidirectional Fiber Composites by Implementation of Viscoelastic Neoprene and Rubber Layers." Shock and Vibration 2017 (2017): 1–15. http://dx.doi.org/10.1155/2017/4163485.

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The aim of the presented work is to assess modal, transmission, and damping characteristics of layered carbon plates. The base is to carry experimental analysis verified by FEM model, which evaluates the vibration transfer of tested composites and describes possibilities of additional damping by implementation of viscoelastic layers. Preimpregnated carbon fibers known as prepreg were used for creation of the samples composed of four (2 constant and 2 variable) layers. The task was to assess impact of changing the fiber orientation on the transfer function and individual modal characteristics.

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Qu, Zhijian, Xinxing Hou, Wenbo Hu, Rentao Yang, and Chao Ju. "Wind power forecasting based on improved variational mode decomposition and permutation entropy." Clean Energy 7, no. 5 (2023): 1032–45. http://dx.doi.org/10.1093/ce/zkad043.

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Abstract Due to the significant intermittent, stochastic and non-stationary nature of wind power generation, it is difficult to achieve the desired prediction accuracy. Therefore, a wind power prediction method based on improved variational modal decomposition with permutation entropy is proposed. First, based on the meteorological data of wind farms, the Spearman correlation coefficient method is used to filter the meteorological data that are strongly correlated with the wind power to establish the wind power prediction model data set; then the original wind power is decomposed using the imp

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Yamasaki, Michiaki, Kenji Hashimoto, Koji Hagihara, and Yoshihito Kawamura. "Multimodal Microstructure Evolution in Wrought Mg-Zn-Y Alloys with High Strength and Increased Ductility." Materials Science Forum 654-656 (June 2010): 615–18. http://dx.doi.org/10.4028/www.scientific.net/msf.654-656.615.

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High strength and ductile Mg96Zn2Y2 (at%) alloys with multi-modal microstructure are developed. Microstructure of the extruded Mg96Zn2Y2 alloy consists of three regions; the dynamically recrystallized -Mg fine-grains region, the hot-worked -Mg coarse-grains region elongated along extrusion direction, and the long-period stacking ordered (LPSO) phase region with kink deformation bands. Bimodal microstructure evolution in -Mg matrix is influenced by the morphology of the LPSO phase in the as-cast state, therefore, the effect of secondary dendrite arm spacing in cast state on the microstructur

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Abdelhafid, Rahmane. "Modal damping ratio of symmetric laminate composite under the effect of attached mass using experimental design." FME Transactions 49, no. 3 (2021): 740–48. http://dx.doi.org/10.5937/fme2103740a.

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Nowadays, the use of composite materials has taken a large place in civilian industries as well as in military and aerospace industries. Therefore, significant investigations about their mechanical and physical properties are needed. The present study addresses the effect of attached mass on damping ratio of symmetric angle ply laminate composite. Furthermore, factor influencing the effect of attached mass on damping ratio of laminate composite are studied using Taguchi method. The considered factors parameters are: attached mass locations from the clamped edge, stacking sequences and boundary

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Li, Zuhe, Qingbing Guo, Chengyao Feng, et al. "Multimodal Sentiment Analysis Based on Interactive Transformer and Soft Mapping." Wireless Communications and Mobile Computing 2022 (February 3, 2022): 1–12. http://dx.doi.org/10.1155/2022/6243347.

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Multimodal sentiment analysis aims to harvest people’s opinions or attitudes from multimedia data through fusion techniques. However, existing fusion methods cannot take advantage of the correlation between multimodal data but introduce interference factors. In this paper, we propose an Interactive Transformer and Soft Mapping based method for multimodal sentiment analysis. In the Interactive Transformer layer, an Interactive Multihead Guided-Attention structure composed of a pair of Multihead Attention modules is first utilized to find the mapping relationship between multimodalities. Then, t

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Bulut, Mehmet, Mohamad Alsaadi, Ahmet Erkliğ, and Humam Alrawi. "The effects of S-glass fiber hybridization on vibration-damping behavior of intraply woven carbon/aramid hybrid composites for different lay-up configurations." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 233, no. 9 (2018): 3220–31. http://dx.doi.org/10.1177/0954406218813188.

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In this study, the vibration and damping characteristics of the hybrid composites reinforced with plain woven S-glass and intraply woven carbon/Kevlar fiber fabrics are investigated. Vibration tests on the samples have been conducted only for measuring the first mode of natural frequency with application of experimental modal analysis procedures. Symmetric and asymmetric layering structures have been prepared for the hybrid composite configurations in order to study the stacking sequence effects. Damping ratios have been evaluated from the logarithmic decrement method by using acceleration–tim

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Chen, Changfeng, and Qiang Li. "A Multimodal Music Emotion Classification Method Based on Multifeature Combined Network Classifier." Mathematical Problems in Engineering 2020 (August 1, 2020): 1–11. http://dx.doi.org/10.1155/2020/4606027.

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Aiming at the shortcomings of single network classification model, this paper applies CNN-LSTM (convolutional neural networks-long short-term memory) combined network in the field of music emotion classification and proposes a multifeature combined network classifier based on CNN-LSTM which combines 2D (two-dimensional) feature input through CNN-LSTM and 1D (single-dimensional) feature input through DNN (deep neural networks) to make up for the deficiencies of original single feature models. The model uses multiple convolution kernels in CNN for 2D feature extraction, BiLSTM (bidirectional LST

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Tang, T., T. Chen, B. Zhu, and Y. Ye. "MU-NET: A MULTISCALE UNSUPERVISED NETWORK FOR REMOTE SENSING IMAGE REGISTRATION." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2022 (May 30, 2022): 537–44. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2022-537-2022.

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Abstract. Registration for multi-sensor or multi-modal image pairs with a large degree of distortions is a fundamental task for many remote sensing applications. To achieve accurate and low-cost remote sensing image registration, we propose a multiscale unsupervised network (MU-Net). Without costly ground truth labels, MU-Net directly learns the end-to-end mapping from the image pairs to their transformation parameters. MU-Net performs a coarse-to-fine registration pipeline by stacking several deep neural network models on multiple scales, which prevents the backpropagation being falling into

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Chen, Guozhen, Derun Zhang, Wen Xu, and Jie Sun. "Modeling of Damping Characteristics of Rubber Geopolymer Concrete Based on Finite Element Simulation." Buildings 12, no. 12 (2022): 2142. http://dx.doi.org/10.3390/buildings12122142.

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The stacking of waste rubber tires has led to serious environmental pollution. As an attempt to reduce pollution, rubber tires have recently been ground into rubber particles and incorporated into the geopolymer concrete to enhance the damping characteristics of concrete. Thus, we designed this study to quantify the effect of rubber particles on improving the damping performance of geopolymer concrete. The free vibration simulation of a rubber geopolymer concrete cantilever beam at four different rubber replacement volume fractions under five different damage displacements was performed on the

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Sams, Andrew Steven, and Amalia Zahra. "Multimodal music emotion recognition in Indonesian songs based on CNN-LSTM, XLNet transformers." Bulletin of Electrical Engineering and Informatics 12, no. 1 (2023): 355–64. http://dx.doi.org/10.11591/eei.v12i1.4231.

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Music carries emotional information and allows the listener to feel the emotions contained in the music. This study proposes a multimodal music emotion recognition (MER) system using Indonesian song and lyrics data. In the proposed multimodal system, the audio data will use the mel spectrogram feature, and the lyrics feature will be extracted by going through the tokenizing process from XLNet. Convolutional long short term memory network (CNN-LSTM) performs the audio classification task, while XLNet transformers performs the lyrics classification task. The outputs of the two classification tas

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Lin, Shen-Yung, and Guan-Chen Li. "Estimation and Adjustment of Interface Stiffnesses for Machine-Tool." Applied Sciences 12, no. 23 (2022): 12384. http://dx.doi.org/10.3390/app122312384.

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This study adopts a practical approach to establish the estimation and adjustment methods of the interface stiffness for the machine-tool through the finite element analysis (FEA). First, numerical and experimental modal analysis (FMA and EMA) for each single subsystem of the machine-tool structure are performed. Then, the parameters obtained from EMA are used as the objective criterion function, and the FMA is conducted iteratively to solve the material Young’s modulus and Poisson’s ratio for each single subsystem structure, in which the geometrical model is simplified and FE mesh convergence

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Upadhyay, Priti, Mikolaj Czerkawski, Christopher Davison, et al. "A Flexible Multi-Temporal and Multi-Modal Framework for Sentinel-1 and Sentinel-2 Analysis Ready Data." Remote Sensing 14, no. 5 (2022): 1120. http://dx.doi.org/10.3390/rs14051120.

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The rich, complementary data provided by Sentinel-1 and Sentinel-2 satellite constellations host considerable potential to transform Earth observation (EO) applications. However, a substantial amount of effort and infrastructure is still required for the generation of analysis-ready data (ARD) from the low-level products provided by the European Space Agency (ESA). Here, a flexible Python framework able to generate a range of consistent ARD aligned with the ESA-recommended processing pipeline is detailed. Sentinel-1 Synthetic Aperture Radar (SAR) data are radiometrically calibrated, speckle-fi

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Li, Jian, Kewen Shao, Jia Du, et al. "Comparative Analysis of Tillage Indices and Machine Learning Algorithms for Maize Residue Cover Prediction." Remote Sensing 17, no. 1 (2024): 105. https://doi.org/10.3390/rs17010105.

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Remote sensing estimation of maize residue cover (MRC) can rapidly acquire large-scale data on MRC, crucial for monitoring and promoting conservation tillage. Herein, seven tillage indices derived from Sentinel-2 satellite imagery were analyzed alongside measured MRC data to assess their correlation with MRC. MRC estimation models were built using six machine learning algorithms, including back propagation neural network (BPNN), random forest (RF), support vector regression (SVR), extreme gradient boosting (XGBoost), Stacking1, and Stacking2. Model performance was compared using the coefficien

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