Based on current sheet flapping motion on 27 August 2018 in the dusk flank magnetotail,as recorded by instruments aboard Magnetospheric Multiscale(MMS)spacecraft,we present the first study of guide field reconnection ...
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Based on current sheet flapping motion on 27 August 2018 in the dusk flank magnetotail,as recorded by instruments aboard Magnetospheric Multiscale(MMS)spacecraft,we present the first study of guide field reconnection observed in the flux rope embedded in kink-like flapping current sheets near the dusk-side flank of the *** more common magnetotail reconnections,which are symmetric,these asymmetric small-scale(λ_(i)~650 km)reconnections were found in the highly twisted current sheet when the direction normal to the sheet changes from the Z direction into the Y *** unique feature of this unusual reconnection is that the reconnection jets are along the Z direction-different from outflow in the X direction,which is the more usual *** vertical reconnection jet is parallel or antiparallel to the up-and-down motion of the tail’s current *** normalized reconnection rate R is estimated to be~*** results indicate that such asymmetric reconnections can significantly enlarge current sheet flapping,with large oscillation *** letter presents direct evidence of guide field reconnection in a highly twisted current sheet,characterized by enlarged current sheet flapping as a consequence of the reconnection outflow.
The well-trained image classification neural networks are vulnerable to adversarial examples. An adversarial example is a malicious input carefully crafted by adding small perturbations to the original input, leading ...
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A concept of backward observability is introduced for nonlinear discrete-time control systems. According to the new definition the state variables can be expressed as functions of inputs, outputs and their backward sh...
This article explores an optimization method for lightweight 3D models by implementing mesh simplification through the Enhanced Quadratic Error Metric (QEM) algorithm. In response to the common problems of feature los...
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In the dynamic landscape of urban development, the synergy of the Metaverse, Digital Twins, and Smart Cities emerges as a potent catalyst for transformation. The Metaverse, a vibrant virtual space, collaborates with c...
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Julia is an emerging programming language designed for high-performance and parallel computing. However, its simple-designed foreign function interface, ccall, lacks necessary security checks, making multilingual Juli...
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The effectiveness of hybrid deep learning models in detecting network intrusions on imbalanced datasets was tested. Conventional IDS often misses rare attacks due to class imbalance. Three models were evaluated: CNN+D...
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Hand gestures are a natural way for human-robot *** based dynamic hand gesture recognition has become a hot research topic due to its various *** paper presents a novel deep learning network for hand gesture *** netwo...
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Hand gestures are a natural way for human-robot *** based dynamic hand gesture recognition has become a hot research topic due to its various *** paper presents a novel deep learning network for hand gesture *** network integrates several well-proved modules together to learn both short-term and long-term features from video inputs and meanwhile avoid intensive *** learn short-term features,each video input is segmented into a fixed number of frame groups.A frame is randomly selected from each group and represented as an RGB image as well as an optical flow *** two entities are fused and fed into a convolutional neural network(Conv Net)for feature *** Conv Nets for all groups share *** learn longterm features,outputs from all Conv Nets are fed into a long short-term memory(LSTM)network,by which a final classification result is *** new model has been tested with two popular hand gesture datasets,namely the Jester dataset and Nvidia *** with other models,our model produced very competitive *** robustness of the new model has also been proved with an augmented dataset with enhanced diversity of hand gestures.
Optimizing organic crop rotation and effectively managing pests and diseases remain a significant challenge for farmers. In this research, we propose a Smart System to Optimize Organic Crop Rotation using Precision Ag...
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Interlaced Magnetic Recording (IMR), a technology that improves storage density through track overlap, introduces significant latency due to Read-Modify-Write (RMW) operations. Writing to overlapped tracks affects und...
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