Jian Su¹, Haijian Shao^1,2,*, Xing Deng¹, Yingtao Jiang²

CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2219-2242, 2024, DOI:10.32604/cmc.2024.057604 - 18 November 2024

Abstract The rapidly advancing Convolutional Neural Networks (CNNs) have brought about a paradigm shift in various computer vision tasks, while also garnering increasing interest and application in sensor-based Human Activity Recognition (HAR) efforts. However, the significant computational demands and memory requirements hinder the practical deployment of deep networks in resource-constrained systems. This paper introduces a novel network pruning method based on the energy spectral density of data in the frequency domain, which reduces the model’s depth and accelerates activity inference. Unlike traditional pruning methods that focus on the spatial domain and the importance of filters, this… More >

Peng Wang^1,*, Ningbo Li¹, Ruolan Jiang¹, Bing Dong¹, Dongliang Sun¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.4, pp. 1-1, 2024, DOI:10.32604/icces.2024.012551

Abstract Lithium-ion batteries, renowned for their lightweight design and voltage stability, have found widespread applications in portable electronic devices, stationary energy storage systems, and electric vehicles. Slurry coating stands out as a pivotal manufacturing process for lithium-ion battery electrodes. In particular, slot-die coating technology, known for its rapid coating speed, has seen extensive engineering adoption in recent years. Utilizing numerical simulations to study the slurry coating process for lithium-ion battery electrodes allows for a detailed analysis of the complex fluid dynamics involved, thereby playing a crucial role in improving coating uniformity and enhancing battery performance. This… More >

Shaowu Tang¹, Sicong Liu^1,*, Jian S Dai^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.011746

Abstract Origami, a traditional and elegant folding technique, provides a solution for the deformation of three-dimensional structures. Inspired by this, origami-based soft actuators and robots exhibit the advantages of portability, high efficiency, and programmability when performing functions such as locomotion, manipulation, and interaction. However, these deformable origami structures bring challenges to sensing methods and technologies, due to hyperelastic deformations of the soft materials. In this work, a sensing approach is proposed to enable origami robots with proprioceptive and interactive sensing capabilities. The 3D-printed Miura-ori chambers of the robot are embedded with infrared optical sensors (a light-emitting… More >

Ting Tan^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.012670

Abstract Owing to their compliance, soft robots demonstrate enhanced compatibility with humans and the environment compared with traditional rigid robots. However, ensuring the working effectiveness of artificial muscles that actuate soft robots in confined spaces or underloaded conditions remains a challenge. Drawing inspiration from avian pneumatic bones, we propose the incorporation of a light weight endoskeleton into artificial muscles to augment the mechanical integrity and tackle load-bearing environmental difficulties. We present a soft origami hybrid artificial muscle that features a hollow origami metamaterial interior with a rolled dielectric elastomer exterior. The programmable nonlinear origami metamaterial endoskeleton More >

Chunxiu Ji¹, Dan Xie^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.012592

Abstract The persistence of accidents attributed to structural damage in traditional rotor blades remains a pressing concern for aeronautical experts. Given the infrequency of flutter in undamaged blades, this study directs its attention to a rotor blade afflicted with structural damage, with a primary objective of discerning flutter occurrences, elucidating underlying mechanisms, and scrutinizing resultant aeroelastic responses. This paper presents an investigation into the flutter mechanism observed in transonic rotor blades subjected to structural damage, employing the Spectral Proper Orthogonal Decomposition(SPOD) method. The study aims to understand the dynamics of flutter under the influence of structural More >

Haowen Liang¹, Jiaming Bai^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.012563

Abstract Defects are pivotal in influencing the mechanical performance of the hydroxyapatite (HAp) porous structure. In vat photopolymerization (VP) fabrication, directly peeling HAp/polymer green structure from the platform is an efficient approach but often introduces defects, compromising the mechanical performance of sintered HAp scaffolds. The peeling process is a physical phenomenon where the photocured HAp/polymer green structure exhibits resistance against applied peeling forces, which is influenced by its modulus and toughness. In this study, the peeling behavior of cubic-pore HAp (CP-HAp) green structures with varying levels of modulus and toughness was investigated in detail. The characterization… More >

Jupudi Lakshmi Rama Prasad¹, F. Mebarek-Oudina^2,*, G. Dharmaiah³, Putta Babu Rao⁴, H. Vaidya⁵

Frontiers in Heat and Mass Transfer, Vol.22, No.5, pp. 1515-1532, 2024, DOI:10.32604/fhmt.2024.057854 - 30 October 2024

Abstract There is a strong relationship between analytical and numerical heat transfers due to thermodynamically anticipated findings, making thermo-dynamical modeling an effective tool for estimating the ideal melting point of heat transfer. Under certain assumptions, the present study builds a mathematical model of melting heat transport nanofluid flow of chemical reactions and joule heating. Nanofluid flow is described by higher-order partial non-linear differential equations. Incorporating suitable similarity transformations and dimensionless parameters converts these controlling partial differential equations into the non-linear ordinary differential equations and resulting system of nonlinear equations is established. Plotted graphic visualizations in MATLAB More >

Lihui Zhang¹, Huichuang Yang¹, Weigang Li³, Jixin Xu³, Wei Zhou², Donghui Wen⁴, Yanmin Zhang^3,*

Frontiers in Heat and Mass Transfer, Vol.22, No.5, pp. 1477-1492, 2024, DOI:10.32604/fhmt.2024.052675 - 30 October 2024

Abstract Indoor heating with an electrical heating cable, which has no harmful emissions to the environment, is an attractive way for radiant floor heating. To improve the heat transfer efficiency, a novel structure of the heating cable was designed by proposing the concept of the aluminum finned sheath. The transient heat transfer model from the embedded heating cables to the floor is established to validate the feasibility of this novel cable. The effects of the fin number and shape on the cable’s temperature and heat flux distribution were analyzed. The results show that, with the specific More > Graphic Abstract

Qianshuo Liu, Jun Zhao^*

Phyton-International Journal of Experimental Botany, Vol.93, No.10, pp. 2663-2681, 2024, DOI:10.32604/phyton.2024.056054 - 30 October 2024

Abstract Traditional machine vision algorithms have difficulty handling the interference of light and shadow changes, broken rows, and weeds in the complex growth circumstances of soybean fields, which leads to erroneous navigation route segmentation. There are additional shortcomings in the feature extractFion capabilities of the conventional U-Net network. Our suggestion is to utilize an improved U-Net-based method to tackle these difficulties. First, we use ResNet’s powerful feature extraction capabilities to replace the original U-Net encoder. To enhance the concentration on characteristics unique to soybeans, we integrate a multi-scale high-performance attention mechanism. Furthermore, to do multi-scale feature… More >

Kai Yang^1,2, Qinwen Yao^1,2, Yingshan Li^1,2, Wanchang Chen^1,2, Saleh Khorasani³, Hua Wang^1,2, Qingtai Xiao^1,2,4,*

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.11, pp. 2585-2602, 2024, DOI:10.32604/fdmp.2024.050704 - 28 October 2024

Abstract Particle suspension and deposition dynamics are significant factors affecting the level of mixing quality in solid-liquid two-phase stirring processes. In general, the ability to increase the suspension rate and minimize deposition effects is instrumental in improving the uniformity of particle mixing, accelerating the reaction of involved solid-liquid two-phase, and improving the efficiency of production operations. In this work, suspension and deposition indicator based on the Betti number and a uniformity indicator are introduced and obtained by means of image analysis. The influence of the blade type, rotation speed, blade diameter and blade bottom height on… More > Graphic Abstract