Currently, the research on health state of rotating machinery under time-varying operating conditions mainly focuses using a combination several constant or uniformly changing speed and load. This article studied status recognition nonlinear continuous changes in A method was proposed based gram angle field deep residual contraction network. Considering influence working signal characteristics, speed, load, multidimensional time-domain features are fused to form feature vectors. The vectors...

Exploring the neural mechanisms of awareness is a fundamental task cognitive neuroscience. There an ongoing dispute regarding role prefrontal cortex (PFC) in emergence awareness, which partially raised by confound between report- and awareness-related activity. To address this problem, we designed visual that can minimize report-related motor confounding. Our results show saccadic latency significantly shorter aware trials than unaware trials. Local field potential (LFP) data from six...

The intelligent wheelchair control system is built by single chip microcontroller and brain computer interface technology. Based on the application of EEG data mainly purpose about this design. Firstly, TGAM as core production acquisition device - portable headset equipment, achieved acquisition; Secondly, connecting with Bluetooth module, raw transmitted to computer, make use eSense algorithms accomplish quantized; Thirdly, command obtained according processing, MCU which wheelchair;...

Exploring the neural mechanisms of awareness is a fundamental task cognitive neuroscience. There an ongoing dispute regarding role prefrontal cortex (PFC) in emergence awareness, which partially raised by confound between report- and awareness-related activity. To address this problem, we designed visual that can minimize report-related motor confounding. Our results show saccadic latency significantly shorter aware trials than unaware trials. Local field potential (LFP) data from 6 patients...

The expensive acquisition of labeled data limits the practical use supervised learning on polarimetric synthetic aperture radar (PolSAR) image analysis. Semi-supervised has attracted considerable attention as it can utilize few and very many unlabeled data. scattering response PolSAR is strongly spatial distribution dependent, which provides rich information about land-cover properties. In this paper, we propose a semi-supervised method named multi-domain fusion graph network (MDFGN) to...

Exploring the neural mechanisms of awareness is a fundamental task cognitive neuroscience. There an ongoing dispute regarding role prefrontal cortex (PFC) in emergence awareness, which partially raised by confound between report- and awareness-related activity. To address this problem, we designed visual that can minimize report-related motor confounding. Our results show saccadic latency significantly shorter aware trials than unaware trials. Local field potential (LFP) data from six...

Interdisciplinary collaboration is becoming increasingly important not only to the scientific community but also corporate environment since many real world problems involve from professionals across disciplines. In this work, we engaged students using a multidisciplinary project that encompassed two Information Technology (IT) courses and one Biology course. Students these collaborated create animations aimed demonstrate biology concepts. worked in teams throughout semester presented...

There is abnormal fluid pressure widely distributed in Yinggehai-Qiongdongnan Basin, with zones extending from different depths, and the formation causes of here are complicated. It one three HTHP offshore regions world at present. Hence, drilling this region very difficult. discovered practices recent years that, due to multiple mechanisms region, conventional prediction model based on under-compaction theory insufficient explain high suddenly occurring middle shallow layer diapiric...

A digital PWM controller based on FPGA with the voltage feedback control mode is designed. The function blocks and timing of are introduced. applied in Buck circuits to verify system function. experimental results show that designed has fast strong real-time response speed high reliability, which prove correct theoretical analyses feasibility proposed method.

In order to introduce panoramic technology into virtual reality system, a new type VR system modeling method which combine 3D panorama and is proposed. The process characteristics of were analyzed, the principle presented. architecture combines real scenes verified by building coal mill. results show that this could effectively have two advantages, one pictures from panorama, other interoperability modeling. It can be applied in immersive remote training maintenance future strongly broaden...

ABSTRACT Our brain constructs increasingly sophisticated representations along the ventral visual pathway to support object recognition. To understand how these unfold over time, we recorded human intracranial electroencephalography responses 120 images at five consecutive stages of from V1 occipitotemporal areas. Using representational similarity analysis, confirmed that response patterns were more strongly driven by low-order stimulus properties early and high-order category information...

Abstract Exploring the neural mechanisms of awareness is a fundamental task cognitive neuroscience. There an ongoing dispute regarding role prefrontal cortex (PFC) in emergence awareness, which partially raised by confound between report- and awareness-related activity. To address this problem, we designed visual that can minimize report-related motor confounding. Our results show saccadic latency significantly shorter aware trials than unaware trials. Local field potential (LFP) data from 6...

Exploring the neural mechanisms of awareness is a fundamental task cognitive neuroscience. There an ongoing dispute regarding role prefrontal cortex (PFC) in emergence awareness, which partially raised by confound between report-and awareness-related activity. To address this problem, we designed visual that can minimize report-related confounding. Our results show saccadic latency significantly shorter aware trials than unaware trials. Local field potential (LFP) data from 6 patients...

This paper proposes a novel phase-shift migration (PSM) based algorithm in the Through-the-wall (TWI) imaging. Unlike current methods, our technique uses Green's function to compensate multiple reflections between wall and free space. compensation can be carried out as preprocessing for traditional PSM. Simulation results using synthetic-generated data show that proposed method well enhance imaging TWI

It is a difficult task to create realistic human animation because of the high complexity motion. To address this problem, new method presented for producing physically valid motion with example motions. The core our physics-based space-time optimization (PBSO). PBSO introduces physical constraints into conventional and then ensure reality edited intermediate model employed solve convergence process. original transformed simplified edited. Experiments shows captured data can be correctly...

We consider the task of channel detection as a regression problem and propose workflow to identify complex channels in 3D seismic volumes with structure using an end-to-end convolutional neural network. To train network, we automatically generate training dataset containing more than 19000 synthetic corresponding labels, which are shown be sufficient good identification After only dataset, network learns useful features that important for identification. Multiple field examples show can much...