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Chapter and Conference Paper
Research on Power Calculation Method for Auxiliary Converters of Multiple Unit
A new power calculation method based on instantaneous power theory is proposed for the special working conditions of the main circuit topology and sensor acquisition position of the auxiliary converter of the ...
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Chapter and Conference Paper
Design of Parallel Auxiliary Converter with Different Capacity Based on Flexible Marshalling EMUs
With the development and progress of high-speed railway and rail transit equipment technology, EMUs play an increasingly important role in railway transportation. In order to improve the flexibility of EMUs op...
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Chapter and Conference Paper
Research on Fault Diagnosis for Output Voltage Sensors of Parallel Auxiliary Converter of EMUs
The auxiliary converter is an important component of EMUs, supplying power to the three-phase AC load of the whole vehicle. At present, the mainstream control technology of auxiliary converters in EMUs is para...
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Article
Negative mixing enthalpy solid solutions deliver high strength and ductility
Body-centred cubic refractory multi-principal element alloys (MPEAs), with several refractory metal elements as constituents and featuring a yield strength greater than one gigapascal, are promising materials ...
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Chapter and Conference Paper
Forecasting-Aided Graphical Learning for Robust State Estimation of Distribution System
The forecasting of of pseudo-measurements play an important role in distribution system state estimation (DSSE). This paper proposes robust DSSE method based on forecasting-aided graphical learning method. The...
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Article
Identification of potent antimicrobial peptides via a machine-learning pipeline that mines the entire space of peptide sequences
Systematically identifying functional peptides is difficult owing to the vast combinatorial space of peptide sequences. Here we report a machine-learning pipeline that mines the hundreds of billions of sequenc...
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Chapter and Conference Paper
Deps-SAN: Neural Machine Translation with Dependency-Scaled Self-Attention Network
Syntax knowledge contributes its powerful strength in Neural machine translation (NMT) tasks. Early NMT works supposed that syntax details can be automatically learned from numerous texts via attention network...
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Chapter
Hybrid Physics-Based and Data-Driven Mitigation Strategy for Automatic Generation Control Under Cyber Attack
The fusion of information, data, control and electric power facilitates the electric cyber-physical system (ECPS). In the ECPS, though the high-level cyber-physical interaction and integration increase the fle...
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Chapter and Conference Paper
Multi-label Learning with Data Self-augmentation
Multi-label learning (MLL) deals with the problem where each training example is associated with multiple labels. Existing MLL approaches focus on manipulating feature space and modeling label dependencies amo...
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Article
IL-9 blockade attenuates inflammation in a murine model of mechanical ventilation-induced lung injury by inhibiting the NLRP3 inflammasome pathway
Ventilation-induced lung injury (VILI) causes a huge economic and social burden, and its prevention and treatment have gained increasing attention in recent years. IL-9 is an important inflammatory factor, but...
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Article
Chiral analysis of dextromethorphan and levomethorphan in human hair by liquid chromatography–tandem mass spectrometry
Methorphan exists in two enantiomeric forms including dextromethorphan and levomethorphan. Dextromethorphan is an over-the-counter antitussive drug, whereas levomethorphan is strictly controlled as a narcotic ...
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Article
Open AccessDynamic Index Construction with Deep Reinforcement Learning
Thanks to the rapid advances in artificial intelligence, a brand new venue for database performance optimization is through deep neural networks and the reinforcement learning paradigm. Alongside the long lite...
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Article
A Clustering-Based Partial Least Squares Method for Improving the Freshness Prediction Model of Crucian Carps Fillets by Hyperspectral Image Technology
Hyperspectral imaging technology (HSI) is able to visualize the distribution map of chemicals in samples in combination with a developed prediction model. Generally, prediction models are established based on ...
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Article
Open AccessUnified optimal power flow model for AC/DC grids integrated with natural gas systems considering gas-supply uncertainties
A unified optimal power flow (OPF) model for AC/DC grids integrated with natural gas systems is proposed for the real-time scheduling of power systems. Herein, the primary physical couplings underlying this co...
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Article
Comparisons of Fish Morphology for Fresh and Frozen-Thawed Crucian Carp Quality Assessment by Hyperspectral Imaging Technology
To investigate the effect of morphologies on assessment of fish quality, hyperspectral images were obtained from intact fish with scales, intact scaled fish, skin side of fish fillets, and flesh side of fish f...
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Chapter and Conference Paper
Simulation of Flight Dynamics for Helicopter Icing
This allows unregistered users to read the abstract as a teaser for the complete chapter. The formulas for calculating the variation of aerodynamic coefficient of iced blade airfoil were introduced according t...
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Article
Correlating mobility with social encounters: distributed localization in sparse mobile networks
Most existing connectivity-based localization algorithms require high node density which is unavailable in many large-scale sparse mobile networks. By analyzing large datasets of real user traces from Dartmout...
