Kaiyong Hu^1,2,*, Zhaoyi Chen¹, Yunqing Hu¹, Huan Sun¹, Zhili Sun¹, Tonghua Zou^1,3, Jinghong Ning¹

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.9, pp. 2109-2126, 2024, DOI:10.32604/fdmp.2024.050773

Abstract The current study focuses on spray cooling applied to the heat exchange components of a cooling tower. An optimization of such processes is attempted by assessing different spray flow rates and droplet sizes. For simplicity, the heat exchanger of the cooling tower is modeled as a horizontal round tube and a cooling tower spray cooling model is developed accordingly using a computational fluid dynamics (CFD) software. The study examines the influence of varying spray flow rates and droplet sizes on the heat flow intensity between the liquid layer on the surface of the cylindrical tube… More > Graphic Abstract

Lirong Yin¹, Lei Wang¹, Zhuohang Cai², Siyu Lu^2,*, Ruiyang Wang², Ahmed AlSanad³, Salman A. AlQahtani³, Xiaobing Chen⁴, Zhengtong Yin⁵, Xiaolu Li⁶, Wenfeng Zheng^2,3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.1, pp. 771-786, 2024, DOI:10.32604/cmes.2024.052622

Abstract Recent advancements in natural language processing have given rise to numerous pre-training language models in question-answering systems. However, with the constant evolution of algorithms, data, and computing power, the increasing size and complexity of these models have led to increased training costs and reduced efficiency. This study aims to minimize the inference time of such models while maintaining computational performance. It also proposes a novel Distillation model for PAL-BERT (DPAL-BERT), specifically, employs knowledge distillation, using the PAL-BERT model as the teacher model to train two student models: DPAL-BERT-Bi and DPAL-BERT-C. This research enhances the dataset More >

Ahmad Rahdari^1,6, Ahmad Jalili², Mehdi Esnaashari³, Mehdi Gheisari^1,4,7,8,*, Alisa A. Vorobeva⁵, Zhaoxi Fang¹, Panjun Sun^1,*, Viktoriia M. Korzhuk⁵, Ilya Popov⁵, Zongda Wu¹, Hamid Tahaei¹

CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 2511-2533, 2024, DOI:10.32604/cmc.2024.052994

Abstract Software-Defined Networking (SDN) represents a significant paradigm shift in network architecture, separating network logic from the underlying forwarding devices to enhance flexibility and centralize deployment. Concurrently, the Internet of Things (IoT) connects numerous devices to the Internet, enabling autonomous interactions with minimal human intervention. However, implementing and managing an SDN-IoT system is inherently complex, particularly for those with limited resources, as the dynamic and distributed nature of IoT infrastructures creates security and privacy challenges during SDN integration. The findings of this study underscore the primary security and privacy challenges across application, control, and data planes.… More >

Qiuyan Wang, Haibing Dong^*, Yongfei Huang, Zenglei Liu, Yundong Gou

CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 1967-1983, 2024, DOI:10.32604/cmc.2024.052775

Abstract Sharing data while protecting privacy in the industrial Internet is a significant challenge. Traditional machine learning methods require a combination of all data for training; however, this approach can be limited by data availability and privacy concerns. Federated learning (FL) has gained considerable attention because it allows for decentralized training on multiple local datasets. However, the training data collected by data providers are often non-independent and identically distributed (non-IID), resulting in poor FL performance. This paper proposes a privacy-preserving approach for sharing non-IID data in the industrial Internet using an FL approach based on blockchain… More >

Tajmal Hussain, Jungpyo Hong^*, Jongwon Seok^*

CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 2099-2119, 2024, DOI:10.32604/cmc.2024.050884

Abstract Smart manufacturing is a process that optimizes factory performance and production quality by utilizing various technologies including the Internet of Things (IoT) and artificial intelligence (AI). Quality control is an important part of today’s smart manufacturing process, effectively reducing costs and enhancing operational efficiency. As technology in the industry becomes more advanced, identifying and classifying defects has become an essential element in ensuring the quality of products during the manufacturing process. In this study, we introduce a CNN model for classifying defects on hot-rolled steel strip surfaces using hybrid deep learning techniques, incorporating a global… More >

Edja Florentin Assanvo^1,*, Kanga Marius N’GATTA¹, Kicoun Jean-Yves N’zi Touré^1,2,3, Amenan Sylvie Konan⁴, David Boa⁴

Journal of Polymer Materials, Vol.41, No.2, pp. 55-68, 2024, DOI:10.32604/jpm.2024.055397

Abstract The present study focused on extraction of Lonchocarpus cyanescens (L. cyanescens) fiber (LCF) and the physico-chemical properties of the obtained fiber. The fiber was extracted by manual and traditional rating methods, treated with sodium hydroxide, and characterized to determine its performance properties. The chemical composition of cellulose, hemicellulose, and lignin was determined according to the acid detergent, neutral detergent, and Klason methods, respectively. The results show significant quantities of cellulose (33%), hemicellulose (30%), and lignin (24%) in the studied fibers. LCF exhibited a porous multicellular and poly lamellate network structure (FE-SEM) with a crystallinity index of 56.5%. More >

Yu Luo^1,2,3, Mengna Zong^1,2,3, Jin Wang^1,2,3, Xuechun Wang^1,2,3, Bo Bai^1,2,3,*, Chunyu Zhou^1,2,3,*, Junlin Zhu^1,2,3, Jianyu Xing^1,2,3, Moses M. C. Carlon Jr^1,2,3

Journal of Polymer Materials, Vol.41, No.2, pp. 87-103, 2024, DOI:10.32604/jpm.2024.054660

Abstract In this research, we developed a novel photo-stimulation-responsive composite sphere with a semi-interpenetrating polymer network (semi-IPN) structure, synthesized via an alkali gel method, to enhance the efficiency of agrochemicals. Chitosan (CS) serves as the structural matrix and protective shell, with a loading capacity for the plant growth hormone indole-3-butyric acid (IBA) of up to 41.73 μg/mg, effectively controlling the abrupt release of auxin. The incorporation of photothermal detonation nanodiamond (DND) and the photosensitive poly(N-isopropylacrylamide) (PNIPAm) endows the spheres with the ability to respond to light and temperature stimuli, achieving intelligent control over IBA release. Characterization… More >

Dmitry Bratsun^*, Kirill Kostarev

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.8, pp. 1785-1798, 2024, DOI:10.32604/fdmp.2024.048206

Abstract Swarms of self-organizing bots are becoming important elements in various technical systems, which include the control of bacterial cyborgs in biomedical applications, technologies for creating new metamaterials with internal structure, self-assembly processes of complex supramolecular structures in disordered media, etc. In this work, we theoretically study the effect of sudden fluidization of a dense group of bots, each of which is a source of heat and follows a simple algorithm to move in the direction of the gradient of the global temperature field. We show that, under certain conditions, an aggregate of self-propelled bots can… More > Graphic Abstract

Ryan G. McQueen¹, Nikki M. Singh², Ronald K. Woods^3,*

Congenital Heart Disease, Vol.19, No.3, pp. 257-266, 2024, DOI:10.32604/chd.2024.052108

Abstract Objective: The objective of this study was to compare cardiac transplant operative and postoperative courses of patients with failed Fontan physiology who were initially palliated with a Norwood (FFN) to those without a prior Norwood (FF). Methods: A single-institution retrospective review of all patients with Fontan failure who underwent cardiac transplantation from 2003–2021 was completed—22 underwent prior Norwood (FFN) and 11 did not (FF). Descriptive and inferential statistics were calculated for operative course and patient outcomes. Results: The operative course of the FFN cohort appeared to be more complex (not statistically significant, but clinically relevant)—this group… More >

Donghui Ma¹, Wenqi Wu², Yuan Li¹, Lun Zhao¹, Yingchun Cai^2,*, Pan Guo^2,*, Shaolin Yang²

Structural Durability & Health Monitoring, Vol.18, No.5, pp. 663-681, 2024, DOI:10.32604/sdhm.2024.052677

Abstract Segmentally assembled bridges are increasingly finding engineering applications in recent years due to their unique advantages, especially as urban viaducts. Vehicle loads are one of the most important variable loads acting on bridge structures. Accordingly, the influence of overloaded vehicles on existing assembled bridge structures is an urgent concern at present. This paper establishes the finite element model of the segmentally assembled bridge based on ABAQUS software and analyzes the influence of vehicle overload on an assembled girder bridge structure. First, a finite element model corresponding to the target bridge is established based on ABAQUS… More >