Explicit fault analysis is the basis of protection for bipolar HVDC Line. The characteristics initial values traveling waves under various internal conditions are investigated on symmetrical component analysis. criteria classification and faulty-pole selection put forward based zero- positive-sequence backward waves, an integrated wave-based scheme proposed. simulations real-time digital simulation show that proposed can detect faults rapidly, determine type effectively, select faulty pole correctly.

Indoor occupants' positions are significant for smart home service systems, which usually consist of robot service(s), appliance control and other intelligent applications. In this paper, an innovative localization method is proposed tracking humans' position in indoor environments based on passive infrared (PIR) sensors using accessibility map A-star algorithm, aiming at providing services. First the reflecting visiting habits occupants established through integral training with prior...

With the rapid development of aerospace and various remote sensing platforms, amount data related to is increasing rapidly. To meet application requirements big data, an number scholars are combining deep learning with data. In recent years, based on methods, research in field hyperspectral image (HSI) classification has seen continuous breakthroughs. order fully extract characteristics HSIs improve accuracy classification, this article proposes a novel three-dimensional (3-D) channel...

The integration of renewable energy, such as PV and wind power, has exerted great impacts on the power system with its rapid development. If corresponding energy storage is configured, could be able to hold a higher proportion energy. Focusing application for output fluctuation mitigation this paper first analyses reason from four aspects frequency, unit ramp, low frequency oscillation cascading failure. In addition, rate standard grid-connected type topology are introduced. Then summary...

While MOOCs offer educational data on a new scale, many educators find great potential of the big including detailed activity records every learner. A learner’s behavior such as if learner will drop out from course can be predicted. How to provide an effective, economical, and scalable method detect cheating tests surrogate exam-taker is challenging problem. In this paper, we present grade predicting that uses student features predict whether may get certification he/she takes test. The...

The computation of image segmentation has become more complicated with the increasing number thresholds, and option application thresholds in thresholding fields have an NP problem at same time. paper puts forward modified discrete grey wolf optimizer algorithm (MDGWO), which improves on optimal solution updating mechanism search agent by weights. Taking Kapur’s entropy as optimized function based discreteness threshold segmentation, firstly discretizes (GWO) then proposes a new attack...

Computer-aided automatic segmentation of retinal blood vessels plays an important role in the diagnosis diseases such as diabetes, glaucoma, and macular degeneration. In this paper, we propose a multi-scale feature fusion vessel model based on U-Net, named MSFFU-Net. The introduces inception structure into extraction encoder part, max-pooling index is applied during upsampling process decoder improved network. skip layer connection used to transfer each set maps generated path corresponding...

With the increasing penetration of distributed photovoltaics (PVs), operation and control distribution networks (DNs), especially voltage control, have become more complicated. To deal with violation problem caused by large-scale PV access, this paper presents a fully optimization method that combines alternative direction multiplier (ADMM) branch bound (BBM) for regional DNs. The total cost active power losses generation is minimized making full use regulation resources, e.g., reactive...

In a recent study, severe distortions in the proton images of an excised, fixed, human brain 11.1 Tesla/40 cm MR instrument have been observed, and effect modeled on phantom using finite difference time domain (FDTD) model. present we extend these simulations to that complete head, employing hybrid FDTD method moments (MoM) approach, which provides validated for simulating biological samples coil structures. The fixative image is explored. Importantly, temperature distributions within head...

Electrical Impedance Tomography (EIT), a valuable technique modality for estimating electrical properties of an object by electrode measurements. During the measurement process, high-frequency excitation signal and large dynamic range boundary voltage both cause negative effects on system detection accuracy. Focusing induced detection, we proposed adaptive acquisition method, which thoroughly modeled EIT LTSPICE MATLAB, dynamically adjusted amplitude gain according to range, changed sampling...

As the main protection of HVDC line, zone conventional travelling wave depends on predetermined setting value. It also can't detect high-impedance grounding fault due to its using data from only one end. To improve performance, a wave-based pilot direction comparison is proposed based fact that amplitude first backward greater than forward for fault. The magnitudes and are integrated, respectively, within short period following relay starter has picked up. ratio integral values used as...

Massive open online courses (MOOCs) provide an opportunity for people to access free offered by top universities in the world and therefore attracted great attention engagement from college teachers students. However, with contrast large scale enrollment, completion rate of these is really low. One reasons students quit learning process problems which they face that could not be solved discussing them classmates. In order keep staying course, thereby further improving rate, we address task...

Deep Convolutional Neural Networks (CNNs) represent the state-of-the-art artificially intelligent computing models for image classification. The advanced cognition and pattern recognition abilities possessed by humans are ascribed to intricate complex neurological connection in human brains. CNNs inspired structure of brain show performance at par with classification tasks. On lower extreme complexity spectrum lie small organisms such as insects worms, simple structures limited abilities,...