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The Jiudian Gorge water conservancy hub at the Tao River in Gansu Province is located at the entrance of the Jiudian Gorge in the middle reaches of the Yellow River tributary, Tao River. The project has a total capacity of 943 million m3 and is an all-year balancing reservoir. Under normal water level conditions, the maximum water depth in front of the dam is 103 m. The water temperature structure...
We numerically study parabolic similariton generation in tapered hydrogenated amorphous silicon photonic wires. Simulation results show that initial Gaussian pulses can evolve into parabolic similaritons with the linear chirp at 1550 and 2150 nm, respectively.
This paper discusses the zero sequence power directional unit performance of multi-circuit transmission lines on the same tower with different voltage levels in different type faults. The analysis results show that the zero-sequence mutual induction between transmission lines will impact the performance of zero sequence power directional unit and in some conditions, the zero sequence power directional...
Referring expression is a kind of language expression that used for referring to particular objects. To make the expression without ambiguation, people often use attributes to describe the particular object. In this paper, we explore the role of attributes by incorporating them into both referring expression generation and comprehension. We first train an attribute learning model from visual objects...
Different from full periodic patterns, partial periodic patterns could ignore the occurrence of some events in time positions. In this paper, we have presented a gradually pruning algorithm (GPA) for reducing the number of candidate patterns in the mining process. It is based on the two-phased periodic utility upper-bound (PUUB) model and could avoid information loss. Compared to the original approach...
Subsynchronous control interaction (SSCI) has been observed in several wind farms which consist of doubly-fed induction generators (DFIG) and are radially connected to fixed series compensated transmission line. This paper studies the SSCI characteristics of wind farm consisting of different types of generators including DFIG, permanent magnet synchronous generator (PMSG), and self-excited induction...
For safety and reliability of self-driving cars, their control system must use the relative velocity of vehicles. The relative velocity can be estimated by differentiating the measured distance between cars with respect to time. However, inevitable measurement noise in the distance measurements will be amplified by the derivative operation. In this paper, we provide, as an alternative, a time-to-contact...
With the development of power industry, the transmission line construction is now facing a more and more serious problem with the resource scarcity and high cost of transmission right-of-way. Replacing conventional steel cross-arm with a novelly composite one will lead to an obvious reduction in the width of right-of-way. Based on the technical basis of the composite insulator, a new-type transmission...
The rapid advances of transportation infrastructure have led to a dramatic increase in the demand for smart systems capable of monitoring traffic and street safety. Fundamental to these applications are a community-based evaluation platform and benchmark for object detection and multi-object tracking. To this end, we organize the AVSS2017 Challenge on Advanced Traffic Monitoring, in conjunction with...
We report our recent studies on the use of Neural Networks to process the measured Brillouin gain spectrum (BGS) from Brillouin Optical Time Domain Analyzer (BOTDA) and extract temperature information along fiber under test (FUT). Artificial Neural Network (ANN) is trained with ideal Lorentizian BGS before it is used for temperature extraction. Its performance is evaluated by comparison to conventional...
Studying public users' data on social networks to provide service and prediction for the society has been a widespread and effective way thanks to the rapid raise of social networks. However, users' population structure online is usually different from that of physical world, which may influence the researches significantly. Thus it may become an essential limitation for studies conducted by revealing...
A Testing system for transient irradiation experiment is designed to explore the transient ionizing radiation effects in an 8bit three state output bidirectional buffer. Signal responses of this circuit irradiated with high dose rate gamma rays are obtained. In particular, changes of output and supply voltage for the circuit are focused. The experiment results show that the recovery situation of signal...
In order to improve the accuracy of wind speed prediction, the paper proposed a brand new prediction model, called the nonlinear least squares autoregressive moving average model, which based on the wavelet decomposition and reconstruction. Firstly, this model introduces the wavelet transform, which decomposes the original non-stationary wind speed sequence into a relatively stable sequence; Then...
A novel dataset for benchmarking image-based localization is presented. With increasing research interests in visual place recognition and localization, several datasets have been published in the past few years. One of the evident limitations of existing datasets is that precise ground truth camera poses of query images are not available in a meaningful 3D metric system. This is in part due to the...
Effective image and sentence matching depends on how to well measure their global visual-semantic similarity. Based on the observation that such a global similarity arises from a complex aggregation of multiple local similarities between pairwise instances of image (objects) and sentence (words), we propose a selective multimodal Long Short-Term Memory network (sm-LSTM) for instance-aware image and...
Recently, skeleton based action recognition gains more popularity due to cost-effective depth sensors coupled with real-time skeleton estimation algorithms. Traditional approaches based on handcrafted features are limited to represent the complexity of motion patterns. Recent methods that use Recurrent Neural Networks (RNN) to handle raw skeletons only focus on the contextual dependency in the temporal...
An ultra-fast sweep-free distributed BOTDA sensor is proposed and experimentally demonstrated employing coherent de-modulation of digital optical frequency comb (DOFC) probe signal. The phase shift of each frequency tone induced during the Stimulated Brillouin Scattering (SBS), corresponding to the Brillouin Phase Spectrum (BPS), is simultaneously measured in a single shot without frequency sweeping...
Surveillance cameras have been widely used in different scenes. Accordingly, a demanding need is to recognize a person under different cameras, which is called person re-identification. This topic has gained increasing interests in computer vision recently. However, less attention has been paid to video-based approaches, compared with image-based ones. Two steps are usually involved in previous approaches,...
Distributed fiber-optic sensors employ the conventional fiber as the sensing medium and allow all locations along the optical fiber to be measured simultaneously. Thus the sensing scheme provides an efficient way of simultaneously achieving multi-points sensing with a convenient and low-cost configuration. One of the most popular technologies that enables distributed sensing is based on Brillouin...
Extraction of temperature distribution using the method of deep neural networks (DNN) for Brillouin optical time domain analyzer (BOTDA) system is demonstrated experimentally. After appropriate training of DNN model, temperature distribution information along the fiber under test could be directly extracted from the experimentally obtained local Brillouin gain spectrums (BGS) using DNN without the...
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