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Article
Inclusion characteristics and acicular ferrite formation
The effect of adding MgO nanoparticles (0%, 0.01%, 0.05%, and 0.10%) on the inclusion and acicular ferrite (AF) formation in 1.8%Ni low carbon Al-killed (LCAK) steel was explored. The inclusion analysis reveal...
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Article
Evaluating innovative future robotic applications in manufacturing using a fuzzy collaborative intelligence approach
Ensuring the long-term competitiveness of a factory is a critical but challenging task. Robotic applications are an effective means to fulfill this task. These applications enable rapid, high-volume, and error...
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Article
Simultaneously enhanced electrochemical performance and air stability of Ni-rich cathode with a modified washing process
Water washing has been regarded as one of the most effective strategies to remove surface residual lithium of nickel-rich layered oxides for lithium-ion batteries (LIBs). However, the loss of lattice lithium d...
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Article
Open AccessNew XAI tools for selecting suitable 3D printing facilities in ubiquitous manufacturing
Several artificial intelligence (AI) technologies have been applied to assist in the selection of suitable three-dimensional (3D) printing facilities in ubiquitous manufacturing (UM). However, AI applications ...
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Article
Prediction of engine failure time using principal component analysis, categorical regression tree, and back propagation network
In aviation industry, prediction of engine failure time is very important. The engine is the main power device for aircraft flight and the consequences if they fail could be extremely serious. Predicting engin...
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Article
A three-dimensional Pb-centered coordination framework: crystal structure and electrochemiluminescent property
Rigid, dicarboxylic acid ligand 5-(4-carboxyphenyl)-1H-pyrazole-3-carboxylic acid (H3L) has been synthesized and utilized for assembling a metal organic framework [Pb2(HL)2]n through the hydrothermal technique. T...
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Article
Attenuation-compensated reverse time migration of GPR data constrained by resistivity
The high-frequency electromagnetic waves of ground-penetrating radar (GPR) attenuate severely when propagated in an underground attenuating medium owing to the influence of resistivity, which remarkably decrea...
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Article
A two-stage explainable artificial intelligence approach for classification-based job cycle time prediction
Recently, many methods based on artificial neural networks (ANNs) or deep neural networks (DNNs) have been proposed to accurately predict the cycle time of a job. However, the prediction mechanism of an ANN is...
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Article
Open AccessKnockdown of heat shock transcription factor 1 decreases temperature stress tolerance in Bemisia tabaci MED
The primary function of heat shock transcription factor (HSF) in the heat shock response is to activate the transcription of genes encoding heat shock proteins (HSPs). The phloem-feeding insect Bemisia tabaci (Ge...
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Article
Hybrid big data analytics and Industry 4.0 approach to projecting cycle time ranges
This study proposes a hybrid big data analytics and Industry 4.0 (BD-I4) approach to enhancing the effectiveness of cycle time range projections for factory jobs. As a joint application of big data analytics a...
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Article
A Three-Dimensional Cd(II)-Coordination Polymer: Crystal Structure, Electrochemiluminescent Property and Novel Topology
By employing 5-(pyridin-3-yl)-1H-pyrazole-3-carboxylic acid ligand, a new coordination polymer [Cd(HPPC−)2(H2O)2]n (1) has been prepared via the one-pot solvothermal reation with CdI2 and structurally characteriz...
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Article
Transcriptional regulation of small heat shock protein genes by heat shock factor 1 (HSF1) in Liriomyza trifolii under heat stress
Small heat shock proteins (sHSPs) function as molecular chaperones in multiple physiological processes and are active during thermal stress. sHSP expression is controlled by heat shock transcription factor (HSF);...
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Article
Open AccessFuzzy dynamic-prioritization agent-based system for forecasting job cycle time in a wafer fabrication plant
A fuzzy dynamic-prioritization agent-based system was developed in this study to improve the forecasting of the cycle time of a job in a wafer fabrication plant (wafer fab). In this system, multiple fuzzy agen...
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Article
Enrichment of marine productivity utilizing steelmaking slag: managing conflicting stakeholders’ interests in Taiwan
The restoration of the coastal environment can help to alleviate declining offshore fishery resources. When artificial fish reefs utilizing steelmaking slag are deployed on the seabed, they can improve algal g...
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Article
CuS nanoblocks embedded in the three-dimensional porous carbon as composite anode materials for high-performance lithium-ion battery
CuS-based anode materials have high theoretical capacity and good electrical conductivity and have a wide range of sources, safety, and low pollution. Therefore, how to improve the comprehensive electrochemica...
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Article
Open AccessA fuzzy mid-term capacity and production planning model for a manufacturing system with cloud-based capacity
Most of the past cloud manufacturing (CMfg) studies investigated the short-term production planning or job scheduling of a CMfg system, while the mid-term or long-term capacity and production planning of a CMf...
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Article
A type-II fuzzy collaborative forecasting approach for productivity forecasting under an uncertainty environment
Forecasting factory productivity is a critical task. However, it is not easy owing to the uncertainty of productivity. Existing methods often forecast productivity using a fuzzy number. However, the range of a...
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Article
An evolving fuzzy planning mechanism for a ubiquitous manufacturing system
Existing ubiquitous manufacturing (UM) systems usually plan production and logistics simultaneously to enhance efficiency. A UM system can be further benefited by pursuing economical fabrication, improving pro...
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Article
A novel biphenyl compound IMB-S7 ameliorates hepatic fibrosis in BDL rats by suppressing Sp1-mediated integrin αv expression
Chronic tissue injury with fibrosis results in the disruption of tissue architecture, organ dysfunction, and eventual organ failure. Therefore, the development of effective antifibrotic drugs is urgently requi...
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Article
Interval fuzzy number-based approach for modeling an uncertain fuzzy yield learning process
An interval fuzzy number-based approach was proposed in this study to model an uncertain yield learning process. The study aimed to overcome the limitations of present methods, wherein the lower and upper boun...
