In response to the complex nonlinear operational characteristics of large wind turbines, a hybrid semi-mechanistic modeling method for multi-condition operations is proposed, based on a refined 5MW wind turbine model ...
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Wind power curve modeling is essential in the analysis and control of wind turbines(WTs),and data preprocessing is a critical step in accurate curve *** traditional methods do not sufficiently consider WT models,this ...
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Wind power curve modeling is essential in the analysis and control of wind turbines(WTs),and data preprocessing is a critical step in accurate curve *** traditional methods do not sufficiently consider WT models,this paper proposes a new data cleaning method for wind power curve *** this method,a model-data hybrid-driven(MDHD)outlier detection method is constructed,and an adaptive update rule for major parameters in the detection algorithm is designed based on the WT ***,because the MDHD outlier detection method considers multiple types of operating data of WTs,anomaly detection results require further ***,an expert system is developed in which a knowledgebase and an inference engine are designed based on the coupling relationships of different operating ***,abnormal data are eliminated and the power curve modeling is *** proposed and traditional methods are compared in numerical cases,and the superiority of the proposed method is demonstrated.
Recently, Transformer-based methods for single image super-resolution (SISR) have achieved better performance advantages than the methods based on convolutional neural network (CNN). Exploiting self-attention mechanis...
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This study comprehensively analyzes the future production, sales and charging infrastructure expansion of new energy electric vehicles in China over the next decade, including production, sales and charging infrastruc...
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Circular RNAs(circRNAs)are RNAs with closed circular structure involved in many biological processes by key interactions with RNA binding proteins(RBPs).Existing methods for predicting these interactions have limitati...
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Circular RNAs(circRNAs)are RNAs with closed circular structure involved in many biological processes by key interactions with RNA binding proteins(RBPs).Existing methods for predicting these interactions have limitations in feature *** view of this,we propose a method named circ2CBA,which uses only sequence information of circRNAs to predict circRNA-RBP binding *** have constructed a data set which includes eight ***,circ2CBA encodes circRNA sequences using the one-hot ***,a two-layer convolutional neural network(CNN)is used to initially extract the *** CNN,circ2CBA uses a layer of bidirectional long and short-term memory network(BiLSTM)and the self-attention mechanism to learn the *** AUC value of circ2CBA reaches *** of circ2CBA with other three methods on our data set and an ablation experiment confirm that circ2CBA is an effective method to predict the binding sites between circRNAs and RBPs.
The attackers cause the deep neural network (DNN) to misclassify the original image by adding perceptible perturbations, which brings security risks to deploying deep neural networks. Since the existing transfer-based...
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With the popularity of the smart grid, there are many problems, such as data security, high cost, and low efficiency in the query and access control of users’ electricity data. To solve the above problems, this paper...
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Medical knowledge graphs(MKGs)are the basis for intelligent health care,and they have been in use in a variety of intelligent medical ***,understanding the research and application development of MKGs will be crucial ...
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Medical knowledge graphs(MKGs)are the basis for intelligent health care,and they have been in use in a variety of intelligent medical ***,understanding the research and application development of MKGs will be crucial for future relevant research in the biomedical *** this end,we offer an in-depth review of MKG in this *** research begins with the examination of four types of medical information sources,knowledge graph creation methodologies,and six major themes for MKG ***,three popular models of reasoning from the viewpoint of knowledge reasoning are discussed.A reasoning implementation path(RIP)is proposed as a means of expressing the reasoning procedures for *** addition,we explore intelligent medical applications based on RIP and MKG and classify them into nine major ***,we summarize the current state of MKG research based on more than 130 publications and future challenges and opportunities.
Small-scale pumps for controlling microfluidics have promising applications in drug delivery and chemical *** metal(LM)demonstrates excellent flow pumping performance due to its simple structure and the electrocapilla...
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Small-scale pumps for controlling microfluidics have promising applications in drug delivery and chemical *** metal(LM)demonstrates excellent flow pumping performance due to its simple structure and the electrocapillary effect under an electric ***,LM droplets risk escaping from constrained structures,which can lead to pump *** regulation is also a critical parameter in optimizing chemical reactions in fluidic systems,however,integrating it into a compact system remains ***,we develop a temperature-triggered gallium-based actuator(TTGA)by introducing a gallium(Ga)droplet wetted on a copper(Cu)plate as the core element for flow *** Cu plate prevents the Ga droplet from escaping the chamber and significantly increases the flow *** leveraging the electrochemical method to inhibit the supercooling effect of Ga,the TTGA enables activation/deactivation for flow actuation at different *** investigate the impact of electrode position,solution concentration,and applied voltage on TTGA’s pumping *** dynamically tuning the Ga droplet’s temperature to control phase transition,TTGA allows for accurate flow actuation ***,placing Ga and eutectic Ga-indium(EGaIn)droplets in different channels enables the expected flow divergence for fluids with different *** development of TTGA presents new opportunities in microfluidics and biomedical treatment.
Human activity recognition involves identifying the daily living activities of an individual through the utilization of sensor attributes and intelligent learning algorithms. The identification of intricate human acti...
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