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Regression analysis of squeezing-induced hybrid nanofluid flow in Darcy-Forchheimer porous medium

Applied Mathematics and Mechanics(English Edition) 2025年第01期 193-208页

作者： K.MUHAMMAD M.SARFRAZ Department of Humanities and sciences School of Electrical Engineering and Computer Science National University of Sciences and Technology Department of Mathematics Quaid-i-Azam University

This article presents a mathematical model addressing a scenario involving a hybrid nanofluid flow between two infinite parallel plates. One plate remains stationary, while the other moves downward at a squeezing velocity. The space between these plates contains a Darcy-Forchheimer porous medium. A mixture of water-based fluid with gold(Au) and silicon dioxide(Si O2) nanoparticles is formulated. In contrast to the conventional Fourier's heat flux equation, this study employs the Cattaneo-Christov heat flux equation. A uniform magnetic field is applied perpendicular to the flow direction, invoking magnetohydrodynamic(MHD) effects. Further, the model accounts for Joule heating, which is the heat generated when an electric current passes through the fluid. The problem is solved via NDSolve in MATHEMATICA. Numerical and statistical analyses are conducted to provide insights into the behavior of the nanomaterials between the parallel plates with respect to the flow, energy transport, and skin *** findings of this study have potential applications in enhancing cooling systems and optimizing thermal management strategies. It is observed that the squeezing motion generates additional pressure gradients within the fluid, which enhances the flow rate but reduces the frictional drag. Consequently, the fluid is pushed more vigorously between the plates, increasing the flow velocity. As the fluid experiences higher flow rates due to the increased squeezing effect, it spends less time in the region between the plates. The thermal relaxation, however, abruptly changes the temperature, leading to a decrease in the temperature fluctuations.

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Synergistic promotion strategy of “dual-site” and “dual-path” to enhance the C–C coupling between CO2 and HCHO driven by photoelectrocatalysis

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Journal of Energy Chemistry 2025年第01期 39-49页

作者： Hongqiang Yang Jianfeng Zheng Guoyu Wang Yifei Gao Yatao Yang Jia Li Xiaojin Han Yan Cui Zhanggen Huang national Key Laboratory of High Efficiency and Low Carbon Utilization of Coal Institute of Coal Chemistry Chinese Academy of Science university of Chinese Academy of science Shenyang university of Chemical technology

Photoelectrocatalytic coupling CO2and volatile organic compounds （VOCs） is a promising green strategy for the synergistic conversion of the two carbon-containing resources to *** catalytic efficiency is always at the mercy of chemical inertness of CO2and the competitive hydrogen evolution of ***,a modified g-C3N4/ZnAl-LDH Z-scheme heterojunction catalyst with dual reaction site was rationally designed and precisely *** Faraday efficiency of ethanol reached 68.67%with a corresponding formation rate of 227.3μmol *** revealed by in-situ characterizations and density functional theory calculations,CO2and HCHO were absorbed at Zn site and N site,***,*CO generated from CO2and HCHO was converted to*CH3O and*CHO on the dual-active-site *** detailed reaction mechanism experiments indicated that C–C coupling only occurred between*CO and*CH3O in electrocatalysis *** from the“*CO+*CH3O”path,another“*CO+*CHO”coupling path was also detected in photoelectrocatalytic *** selectivity of ethanol was significantly enhanced due to the synthesis of dual-site catalyst and the dual-path coupling path between CO2and HCHO simultaneously driven by light and electricity.

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RE-ENGINEERING TRANSFORMER MAINTENANCE PROCESSES TO IMPROVE CUSTOMIZED SERVICE DELIVERY

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Journal of Systems science and Systems Engineering 2011年第3期20卷 323-345页

作者： Amy J.C. TRAPPEY Yong SUN Charles V. TRAPPEY Lin MA Department of Industrial Engineering and Engineering Management National Tsing Hua University Taiwan China Department of Industrial Engineering and Management National Taipei University of Technology Taiwan China School of Engineering Systems Queensland University of Technology Australia Department of Management science National Chiao Tung University Taiwan China

The outage of a transformer in a power generation system will generally result in a shutdown of the entire system. Consequentially, large amounts of revenue are lost to the plant owner with a substantial negative impact on the civil community and industrial customers. This paper analyzes the current maintenance practices （i.e., an as-is process model） of a transformer manufacturing company, which provides maintenance services to power generation plants and reports the major weaknesses in current business practices. The maintenance weaknesses include isolated processes and paper based information communication. These inefficient processes result in service delays, cost increases, and inappropriate responses to customers＇ specific requests and complaints. To improve the efficiency and flexibility of the entire transformer maintenance service system, an e-integration approach is implemented with three key tasks. First, the current business processes are re-engineered to provide an improved （to-be） business model. Then, we replace paper based documentation methods with an electronic filing system for efficient and cost-effective information exchange. Afterward, the improved process model is implemented as an Internet based system to enhance the interactions among the transformer manufacturer, end-users, and service contractors for customized maintenance services. The case study demonstrates that implementing the e-integration approach increases the efficiency and effectiveness of the customized maintenance services.

关键词： Business Processes Reengineering (BPR) asset maintenance power industry after-sales services transformers engineering

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Speech Recognition via CTC-CNN Model

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Computers, Materials & Continua 2023年第9期76卷 3833-3858页

作者： Wen-Tsai Sung Hao-WeiKang Sung-Jung Hsiao Department of Electrical Engineering National Chin-Yi University of TechnologyTaichung411030Taiwan Department of Information technology Takming University of Science and TechnologyTaipei11451Taiwan

In the speech recognition system,the acoustic model is an important underlying model,and its accuracy directly affects the performance of the entire *** paper introduces the construction and training process of the acoustic model in detail and studies the Connectionist temporal classification(CTC)algorithm,which plays an important role in the end-to-end framework,established a convolutional neural network(CNN)combined with an acoustic model of Connectionist temporal classification to improve the accuracy of speech *** study uses a sound sensor,ReSpeakerMic Array v2.0.1,to convert the collected speech signals into text or corresponding speech signals to improve communication and reduce noise and hardware *** baseline acousticmodel in this study faces challenges such as long training time,high error rate,and a certain degree of *** model is trained through continuous design and improvement of the relevant parameters of the acousticmodel,and finally the performance is selected according to the evaluation ***,which reduces the error rate to about 18%,thus improving the accuracy ***,comparative verificationwas carried out from the selection of acoustic feature parameters,the selection of modeling units,and the speaker’s speech rate,which further verified the excellent performance of the CTCCNN_5+BN+Residual model *** terms of experiments,to train and verify the CTC-CNN baseline acoustic model,this study uses THCHS-30 and ST-CMDS speech data sets as training data sets,and after 54 epochs of training,the word error rate of the acoustic model training set is 31%,the word error rate of the test set is stable at about 43%.This experiment also considers the surrounding environmental *** the noise level of 80∼90 dB,the accuracy rate is 88.18%,which is the worst performance among all *** contrast,at 40–60 dB,the accuracy was as high as 97.33%due to less noise pollution.

关键词： Artificial intelligence speech recognition speech to text convolutional neural network automatic speech recognition

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Analysis of Critical Factors in Manufacturing by Adopting a Cloud Computing Service

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Computer Systems science & Engineering 2022年第7期42卷 213-227页

作者： Hsin-Pin Fu Tsung-Sheng Chang Chien-Hung Liu Li-Chun Liu Department of Marketing and Distribution Management National Kaohsiung University of Science and TechnologyKaohsiung(824)Taiwan Department of Information Management Da-Yeh UniversityChanghua(515)Taiwan Graduate Institute of Management National Kaohsiung University of Science and TechnologyKaohsiung(824)Taiwan

The advantages of a cloud computing service are cost advantages,availability,scalability,ﬂexibility,reduced time to market,and dynamic access to computing *** can improve the successful adoption rate of cloud computing services if they understand the critical ***ﬁnd critical factors,this studyﬁrst reviewed the literature and established a three-layer hierarch-ical factor table for adopting a cloud computing service based on the technology-Organization-Environment ***,a hybrid method that combines two multi-criteria decision-making tools—called the Fuzzy Analytic Network Process method and the concept of VlseKriterijumska Optimizacija I Kompromisno Resenje acceptable advantage—was used to objectively identify critical factors for the adop-tion of a cloud computing service,replacing the subjective decision of the *** results of this study determinedﬁve critical factors,namely data access secur-ity,information transmission security,senior management support,fallback cloud management,and employee ***,the paper presents theﬁndings and implications of the study.

关键词： Cloud computing service multi-criteria decision-making critical factors fuzzy analytic network process vlseKriterijumska optimizacija i kompromisno resenje technology-organization-environment

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Information Monitoring technology for Support Structure of Railway Tunnel During Operation

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Structural Durability & Health Monitoring 2018年第1期12卷 35-50页

作者： Licai Zhao Shishuen Chen Department of Civil and Construction Engineering National Taiwan University of Science and TechnologyTaiwanTaipei10607

In the process of railway construction, because of the inconvenience ofgeological condition, water bursting and mud surging happen frequently, and the laterdeformation of support structure on the happening geology section would threaten thenormal running of railway. The limit difference of deformation control value of thesupport structure section where geological accidents frequently happen, is small, andartificial half-automatic supervisory technology cannot get the health condition of tunnelin time, resulting many cars speed-down accidents due to deformation of supportstructure. Through design innovation, we introduce TGMIS in the later period ofYanzishan railway construction to quickly capture the deformation of support structure,the strain of lining concrete, the strain of steel frame, stress of surrounding soil, stress ofsurrounding water, strain of second lining steel bar and other situ data. Also we setobservation prism and measuring robot device in specific position inside tunnel, androbot laser locator laser spot is projected onto reflection target surface, by graphicprocessing algorithm, the receiver calculates the measured value and standard value ofthe 3D coordinates of the laser spot. Then the information is transmitted throughtransmitting device, transducer and USB-485 to computer to predict and evaluate thehealth condition of the support structure of the tunnel so as to provide safety warninginformation. Provide timely and reliable data for the operation company to avoid theoccurrence of vicious accidents.

关键词： Operation tunnel support structure health data automation monitoring evaluation

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Data Transmission with the Battery Utilization Maximization

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Journal of Computer science & technology 2011年第3期26卷 392-404页

作者：张哲维章铁飞杨川岳陈应正洪士灏郭大维陈天洲 Department of Computer science and Information Engineering "National Taiwan University" College of Computer science Zhejiang University Graduate Institute of Networking and Multimedia "National Taiwan University"

With the growing popularity of 3G-powered devices, there are growing demands on energy-efficient data trans- mission strategies for various embedded systems. Different from the past work in energy-efficient real-time task scheduling, we explore strategies to maximize the amount of data transmitted by a 3G module under a given battery capacity. In particular, we present algorithms under different workload configurations with and without timing constraint considerations. Experiments were then conducted to verify the validity of the strategies and develop insights in energy-efficient data transmission.

关键词： data transmission battery utilization 3G devices bandwidth scheduling

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Flow-Shop Scheduling with Transportation Capacity and Time Consideration

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Computers, Materials & Continua 2022年第2期70卷 3031-3048页

作者： Chia-Nan Wang Glen Andrew Porter Ching-Chien Huang Viet Tinh Nguyen Syed Tam Husain Department of Industrial Engineering and Management National Kaohsiung University of Science and TechnologyKaohsiung80778Taiwan College of Engineering National Kaohsiung University of Science and TechnologyKaohsiung80778Taiwan Department of Mechanical Engineering National Kaohsiung University of Science and TechnologyKaohsiung80778Taiwan Faculty of Commerce Van Lang UniversityHo Chi Minh City70000Vietnam

Planning and scheduling is one of the most important activity in supply chain operation *** the years,there have been multiple researches regarding planning and scheduling which are applied to improve a variety of supply *** includes two commonly used methods which are mathematical programming models and heuristics *** manufacturing systems are seen normally in industrial environments but few have considered certain constraints such as transportation capacity and transportation time within their supply chain.A two-stage flowshop of a single processing machine and a batch processing machine are considered with their capacity and transportation time between *** objectives of this research are to build a suitable mathematical model capable of minimizing the maximum completion time,to propose a heuristic optimization algorithm to solve the problem,and to develop an applicable program of the heuristics *** Integer Programming(MIP)model and a heuristics optimization algorithmwas developed and tested using a randomly generated data set for *** overall results and performance of each approach was compared between the two methods that would assist the decision maker in choosing a suitable solution for their manufacturing line.

关键词： Scheduling two-stage flowshop supply chain management transportation batch processing machine heuristic

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Study on the hydrogen absorption properties of a YGdTbDyHo rare-earth high-entropy alloy

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International Journal of Minerals,Metallurgy and Materials 2025年第1期32卷 127-135页

作者： Tongyue Li Ziliang Xie Wenjiao Zhou Huan Tong Dawen Yang Anjia Zhang Yuan Wu Xiping Song State Key Laboratory for Advanced Metals and Materials University of Science and Technology BeijingBeijing 100083China Whole Win(Beijing)Materials Sci.&Tech.Co. Ltd.Beijing 100083China

This study investigated the microstructure and hydrogen absorption properties of a rare-earth high-entropy alloy(HEA),*** indicated that the YGdTbDyHo alloy had a microstructure of equiaxed grains,with the alloy elements distributed *** hydrogen absorption,the phase structure of the HEA changed from a solid solution with an hexagonal-close-packed(HCP)structure to a high-entropy hydride with an faced-centered-cubic(FCC)structure without any secondary phase *** alloy demonstrated a maximum hydrogen storage capacity of 2.33 H/M(hydrogen atom/metal atom)at 723 K,with an enthalpy change(ΔH)of-141.09 kJ·mol^(-1)and an entropy change(ΔS)of-119.14 J·mol^(-1)·K^(-1).The kinetic mechanism of hydrogen absorption was hydride nucleation and growth,with an apparent activation energy(E_(a))of 20.90 kJ·mol^(-1).Without any activation,the YGdTbDyHo alloy could absorb hydrogen quickly(180 s at 923 K)with nearly no incubation period *** reason for the obtained value of 2.33 H/M was that the hydrogen atoms occupied both tetrahedral and octahedral *** results demonstrate the potential application of HEAs as a high-capacity hydrogen storage material with a large H/M ratio,which can be used in the deuterium storage field.

关键词： rare-earth high-entropy alloy hydrogen absorption capacity pressure–composition–temperature curves kinetics

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Susceptibility to Hot Cracking and Weldment Heat Treatment of Haynes 230 Superalloy

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Journal of Materials science & technology 2006年第5期22卷 685-690页

作者： I.K.Lee Department of Mechatronic technology national taiwan Normal university TaipeiTaiwanChina

This study investigates the susceptibility of hot cracking and weldment heat treatment of Haynes 230 superalloy. The Varestriant test was conducted to evaluate this susceptibility. Welding was performed by gas tungsten arc welding （GTAW） and plasma arc welding （PAW） with stress relief heat treatment and solid solution heat treatment. A tensile test is then performed to measure the changes in the mechanical properties of the heattreated material. The results indicate that the number of thermal cycles does not affect the susceptibility of Haynes 230 superalloy to hot cracking. However, it does increase the strain. In weldment of heat treatment, stress relief annealing increases the yield strength and tensile strength of the welded parts. The section of the tensile specimens shows fibrous fractures on the welded parts, regardless of whether they are heat-treated.

关键词： Haynes 230 super alloy Varestriant test Hot cracking Susceptibility Stress relief annealing

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