Showing papers in "Engineering in 2019"

TL;DR: This paper reviews and analyzes CPS and DTs from multiple perspectives, including their origin, development, engineering practices, cyber–physical mapping, and core elements.

TL;DR: An overview of recent advances in computer vision techniques as they apply to the problem of civil infrastructure condition assessment and some of the key challenges that persist toward the goal of automated vision-based civil infrastructure and monitoring are presented.

TL;DR: Several popular deep learning architectures are briefly introduced, and their applications in various specific tasks in US image analysis, such as classification, detection, and segmentation are discussed.

TL;DR: This paper overviews the progress of applying the NN algorithm to several aspects of the AM whole chain, including model design, in situ monitoring, and quality evaluation, and current challenges in applying NNs are outlined.

TL;DR: A brief review of the state of the art of data science and engineering in SHM as investigated by these authors covers the compressive sampling-based data-acquisition algorithm, the anomaly data diagnosis approach using a deep learning algorithm, crack identification approaches using computer vision techniques, and condition assessment approaches for bridges using machine learning algorithms.

TL;DR: The evolutionary footprint of intelligent manufacturing is reviewed from the perspective ofHCPSs, and the implications, characteristics, technical frame, and key technologies of HCPSs for NGIM are then discussed in depth.

TL;DR: This review provides a timely overview of the advancements that have been made with callus cultures in these scientific fields and calls for more callus culture-based products to be developed and market.

TL;DR: This paper reviews recent advances in data analytics and machine learning applied to the monitoring, control, and optimization of industrial processes, paying particular attention to the interpretability and functionality of machine learning models.

TL;DR: This review article provides a brief introduction on various ML methods and related software or tools, and summarizes recent important applications of ML for the large-scale screening and optimal design of polymer and porous materials, catalytic materials, and energetic materials.

TL;DR: In this paper, the state of the art of additive manufacturing (AM) at the micro-scale level is reviewed, including powder recoating, laser optics, and powder particle size.

TL;DR: 3D bioprinting provides the unprecedented capacity of depositing various types of biomaterials, cells, and biomolecules in a layer-by-layer fashion, with precisely controlled spatial distribution, and is expected to address the organ-shortage issue in the future.

TL;DR: This research was an attempt to transform the classical statistical machine- learning classification method based on original samples into a deep-learning classification methodbased on data augmentation.

TL;DR: This article summarizes the application of chinmedomics in identifying the candidate biomarkers of a syndrome and revealing the efficacy of the related formula and highlights the discovery of lead compounds and Q markers from TCMs.

TL;DR: An overview of the story of artemisinin in terms of its past, present, and future is provided, and the importance of relating mechanistic studies to therapeutic outcomes is emphasized, both in malarial and non-malarial contexts.

TL;DR: In this article, the authors discuss the safety risks of the Sichuan-Tibet railway construction and how to develop forward-looking plans, adopt high standards, and ensure high quality for constructing the railway.

TL;DR: In this article, the authors proposed Gasoline Compression Ignition (GCI), which uses low-octane gasoline in a compression ignition engine, to achieve diesel-like efficiencies while making it easier to control nitrogen oxides (NOx) and particulates at a lower cost compared with modern diesel engines.

TL;DR: Several technical challenges associated with process safety are identified and discussed, based on state-of-the-art AI methods and the complex safety relations in the process industry, including knowledge acquisition with scarce labels for process safety.

TL;DR: In this article, a molybdenum disulfide/zeolitic imidazolate framework-8 (MoS2/ZIF-8) composite photocatalyst was proposed to increase the photocatalytic degradation of ciprofloxacin (CIP) and tetracycline hydrochloride (TC) by 1.21 and 1.07, respectively.

TL;DR: The author’s perspective on AI from intelligence science to intelligent manufacturing is provided to better grasp the future of intelligent manufacturing and to understand AI.

TL;DR: In this article, a three-dimensional laser absorption model based on ray tracing was established to describe the coupled interaction of a laser beam with particles in the powder layers of pure tungsten (W) material processed by selective laser melting (SLM).

TL;DR: A review on the development of structural monitoring in Japan, with an emphasis on the type, strategy, and utilization of monitoring systems, focuses on bridge and building structures using vibration-based techniques.

TL;DR: In this article, the authors summarized the key technologies of oil/gas reservoir exploration and development in order to share China's experiences in ultra-deep areas including carbonate and clastic reservoirs.

TL;DR: A multi-objective optimization design method for DOD printing parameters through fully connected neural networks (FCNNs) is proposed in order to solve challenges such as satellite generation, too-large droplet generation, and too-low droplet speed.

TL;DR: The Nanostructured bainitic bearing steel (NBBS) as discussed by the authors is a newly developed bearing steel, which not only possesses high strength and toughness, but also exhibits excellent wear resistance and rolling contact fatigue (RCF) resistance.

TL;DR: A review of connectome studies on mental fatigue can be found in this article, where a brief introduction to neuroimaging studies and the brain connectome is provided, followed by a thorough overview of the connections among brain regions.

TL;DR: In this paper, the authors summarized several recent advances in vehicle thermal management technology and modeling, with a focus on three key areas: the cabin, electronics, and exterior components of vehicles.

TL;DR: It is demonstrated that local buckling can be mimicked effectively in beam elements by incorporating the continuous strength method (CSM) strain limits into the analysis, and is shown to bring significant benefits in terms of accuracy and consistency over current steel design specifications.

TL;DR: In this article, the authors used stable isotopes of divalent metals such as calcium (Ca), magnesium (Mg), and zinc (Zn) to trace the deep carbon cycle.

TL;DR: A framework of four deep learning artificial neural networks (DL ANNs) has been developed for the largest chemicals production process—steam cracking, which outperforms several established methods such as maximization of Shannon entropy and traditional ANNs.

TL;DR: Wang et al. as mentioned in this paper presented a research on the strategy of manufacturing power towards 2035, which is supported by the National Natural Science Foundation of China (91646102, L1824039, L1724034, L1624045, and L1524015), the project of China’s Ministry of Education “Humanities and Social Sciences (Engineering and Technology Talent Cultivation)” (16JDGC011), CAE Advisory Project “Research on the Strategy of Manufacturing Power towards 20 35”(2019-ZD-9),