Showing papers in "Engineering in 2021"

TL;DR: A basis to understand SM and IM is provided, which is increasingly important because the trend to merge both terminologies rises in Industry 4.0 as intelligence is being rapidly applied to modern manufacturing and human–cyber–physical systems.

TL;DR: A new model to estimate the disc cutter life (Hf) by integrating a group method of data handling (GMDH)-type neural network (NN) with a genetic algorithm (GA) is proposed, indicating that the hybrid model predicts disc cutterlife with high accuracy.

TL;DR: This review summarizes the state-of-the-art of these three technologies in pavement engineering in recent years and suggests possible developments for future pavement monitoring and analysis based on these approaches.

TL;DR: In this article, the authors reviewed recent progress in research and development of the next generation concentrated solar power (CSP) and thermal energy storage (TES) technology, focusing on the advanced TES technology based on molten chloride salt mixtures such as MgCl2/NaCl/KCl.

TL;DR: In this article, an MS location method using the fast marching method with a second-order difference approach (FMM2) was proposed to locate the recorded blasting and MS events that occurred during the excavation period of the underground caverns at the Houziyan hydropower station.

TL;DR: The greatest opportunities involve using machine learning in time-limited applications such as real-time optimization and planning that require high accuracy and that can build on models with a self-learning ability to recognize patterns, learn from data, and become more intelligent over time.

TL;DR: An overview of photo curing-based bioprinting technologies is provided, and a visible light crosslinkable bioink is described, including its crosslinking mechanisms, types of visible light initiator, and biomedical applications are described.

TL;DR: In this paper, the feasibility of collectively recycling the two types of waste into performance-increasing modifiers for asphalt pavements was analyzed, and the authors concluded that waste PET can be chemically upcycled into functional additives, which can increase the overall performance of the rubberized bitumen.

TL;DR: An improved three-dimensional tomography method combining passive acoustic emission acquisition and active ultrasonic measurements is adopted and it is shown that the method could effectively adapt to complex structures.

TL;DR: In this article, the authors proposed mechanisms of fault reactivation and its induced coal burst based on the superposition of static and dynamic stresses, which include two kinds of faults from: mining-induced quasi-static stress (FRMSS)-dominated and seismic-based dynamic stress (FRSDS)-dominated.

TL;DR: The validation results of different aged LIBs over a wide range of temperature show that the presented fusion algorithm can realize a high-accuracy estimation of SOC and capacity with the relative errors within 2% and 3.3%, respectively.

TL;DR: In this paper, a review of metal-organic frameworks (MOFs) and their applications in industrial production and exploitation is presented, with a general scope of application to inspire MOF researchers to convert their focus on academic research to one on practical applications.

TL;DR: This paper reviews typical applications of ML and DDC at the level of monitoring, control, optimization, and fault detection of power generation systems, with a particular focus on uncovering how these methods can function in evaluating, counteracting, or withstanding the effects of the associated uncertainties.

TL;DR: A new mode of intelligent manufacturing for the process industry, namely, deep integration of industrial artificial intelligence and the Industrial Internet with the processindustry, is proposed.

TL;DR: In this paper, the authors focus on plant-based meat analogues, and cover aspects regarding processing, products, quality, and nutritional and structural modifications, as well as product safety consciousness and consumer acceptance.

TL;DR: In this article, the authors developed a synergic inventory model to get the most profit by making an allowance for reworking, multi-period delay-in-payments policy, and shortages.

TL;DR: This paper provides a comprehensive review of recent advances and currently available strategies for maintaining fruit quality and controlling major postharvest pathogens, mainly Botrytis cinerea and Penicillium expansum, which may promote sustainable and environmental-friendly development of the fruit industry.

TL;DR: A general theory including a revised formula is proposed to solve any contradictions between wavelength, neuron size, and fabrication limitations and can be used to apply a D2NN to various practical applications and design other new applications.

TL;DR: In this article, the authors leverage the Integrated MARKAL-EFOM System model of China (China TIMES) that takes energy, the environment, and the economy into consideration, four carbon-neutral scenarios are proposed and compared for different emission peak times and carbon emissions in 2050.

TL;DR: In this article, a neural network-based regression model was proposed based on 81 sets of experimental data, which consisted of three sub-models and considered three outputs: maximum temperature, temperature standard deviation, and energy consumption.

TL;DR: A multi-field (hydro–thermo–hygro–constraint) coupling model with the hydration degree of cementitious materials as the basic state parameter is introduced to estimate the shrinkage cracking risk of hardening concrete under coupling effects.

TL;DR: In this paper, a review illustrates the basic concepts of MCr and its promising applications for crystallization control and process intensification, including a state-of-the-art review of key MCr-utilized membrane materials, process control mechanisms, and optimization strategies based on diverse hybrid membranes and crystallization processes.

TL;DR: In this paper, the authors highlight two formidable challenges that the BCI community should pay more attention to and summarize several important research topics that are expected to overcome these challenges, and they hope these topics could lead to more discussions and studies in the brain-computer interface community.

TL;DR: In this paper, a review of the materials and performance properties of engineered ionic elastomer actuators and sensors is presented, and the preliminary results of iLCE sensors based on flexoelectric signals are presented.

TL;DR: This review outlines recent progress in the design and fabrication of protein-based fibers based on microfluidics, and discusses the natural spider silk-spinning process and the micro fluidics spinning process, followed by a discussion of recombinant protein fibers.

TL;DR: In this article, the rationale of plasma use in textile antimicrobial finishing through a critical analysis of recent studies and emphasizes the types and mechanisms of plasma techniques available for application, which is imperative to include plasma in antimacterial finishing to achieve high efficiency in production, while retaining a safe environment.

TL;DR: In this paper, the authors proposed an intelligent and efficient semantic communication (IE-SC) network architecture, which integrates artificial intelligence and network technologies to enable intelligent interactions among various communication objects in 6G.

TL;DR: In this article, the authors discuss the challenges of applying PVAm-based facilitated transport (FT) membranes from materials to processes for post-combustion CO2 capture in power plants and cement factories.

TL;DR: An informative perspective on the fundamental theory and applications of the chemical-looping separation method based on the separation principle, reactant selection, and case analysis, for example, the separation of alkenes, alkane, aromatics, and polyol products is provided.