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Vacuum switchgear technology is widely used in the worldwide in all kinds of medium-voltage distribution system for its outstanding technical performance and low life-cycle costing. Now, some manufactures have started to expand this technology to high voltage transmission level. A new developed SF6-Free Hybrid-Gas-Insulated-Switchgear in China is introduced in this paper, which uses a single vacuum...
Articulated human pose estimation is a fundamental yet challenging task in computer vision. The difficulty is particularly pronounced in scale variations of human body parts when camera view changes or severe foreshortening happens. Although pyramid methods are widely used to handle scale changes at inference time, learning feature pyramids in deep convolutional neural networks (DCNNs) is still not...
Textual-visual matching aims at measuring similarities between sentence descriptions and images. Most existing methods tackle this problem without effectively utilizing identity-level annotations. In this paper, we propose an identity-aware two-stage framework for the textual-visual matching problem. Our stage-1 CNN-LSTM network learns to embed cross-modal features with a novel Cross-Modal Cross-Entropy...
In order to develop a practicable extended interaction klystron (EIK) at 0.34 THz, the potential inaccuracy in fabrication process is studied. The influences of tolerance on electric field distribution, ß-value, resonance frequency and impedance are discussed, leading to the acceptable tolerance. Finally the tolerance within 10 um in fabricating the structure of gap is demonstrated acceptable with...
While it is becoming an aging society, there are a large numbers of physical and mental burdens placed upon those who work in the field of nursing. Lots of nursing staff suffer from the occupational injuries especially on their waists. In daily nursing, assisting the elderly and patients with the transfer between the beds, the wheelchairs and the toilets is the primary cause of these occupational...
The problem of decomposing a signal into components of different structures arises in many applications of signal processing and machine learning. In this paper, we study such a signal demixing problem for airborne radar systems, where the received signal consists of contributions from targets, jammers, and clutter. We promote the structures of the target and jammer components by designing two atomic...
Searching persons in large-scale image databases with the query of natural language description has important applications in video surveillance. Existing methods mainly focused on searching persons with image-based or attribute-based queries, which have major limitations for a practical usage. In this paper, we study the problem of person search with natural language description. Given the textual...
Existing person re-identification benchmarks and methods mainly focus on matching cropped pedestrian images between queries and candidates. However, it is different from real-world scenarios where the annotations of pedestrian bounding boxes are unavailable and the target person needs to be searched from a gallery of whole scene images. To close the gap, we propose a new deep learning framework for...
The entity's ID code is important for the identification information as well as the foundation of computer processing in spatial information organization and management system. Based on GeoSOT (Geographical coordinates Subdividing grid with One dimension integral coding on 2n-Tree) subdivision system, this paper puts forward a model for spatial entity's global unique ID code from three aspects of...
This documents put forward an advanced method to manage the rapid increasing spatial data. The core idea of the proposed method is the application of GeoSOT grid. In this geo-information management system, all the spatial data are marked by one or more codes for identification and the mentioned code is simply related to the geographical attributes regardless of the other characteristics. Further,...
Frequency estimation is a classical problem in signal processing, with applications ranging from sensor array processing to wireless communications and structural health monitoring. Modern algorithms based on atomic norm minimization can cope with missing data but incur a high computational cost. To recover missing data from an ensemble of frequency-sparse signals, we propose a computationally efficient...
Identifying characteristic vibrational modes and frequencies is of great importance for monitoring the health of structures such as buildings and bridges. In this work, we address the problem of estimating the modal parameters of a structure from small amounts of vibrational data collected from wireless sensors distributed on the structure. We consider a randomized spatial compression scheme for minimizing...
To solve the clinical problem of constructing an aesthetic and appropriate orbital prosthesis model, two methods based on volume cutting and surface cutting respectively are proposed in this paper. Using spline interpolation, region growth, triangular patch calculation, cylinder cutting and other techniques, we obtain the 3D orbital prosthesis model with a proper size and smooth edges. Besides, a...
This paper proposes a chaotic filter bank based computer cryptographic system for wireless applications. The signal is first decomposed via an analysis filter bank. Second, a pair of chaotic modulators is employed for performing the encryption on the subband signals. Third, the encrypted signals are upsampled and filtered so as to obtain the oversampled signals. Fourth, the oversampled signals are...
In this study, learning analytics was conducted based on the data of 2582 students' learning on an online learning platform. Through correlation and regression analysis, the effects of 13 indicators of behavioral engagement on learning performance were investigated. The results showed that nine of the 13 indicators were significantly correlated with the pass rate of lesson quizzes. Among them, 8 were...
Seismic event picking plays a key role in seismology studies. The goal of seismic event picking is to detect the onset of a seismic event, which typically causes an increase in the amplitude of the recorded signal. In this paper, we present a sequential change-point detection method for online seismic event detection, based on the generalized maximum likelihood statistic. We assume that the signals...
Rivers eutrophication may cause algae and plankton blooms, water-oxygen reducing and the high number of deaths which may cause water pollution. On a global scale, about 30%∼50% surface water eutrophication. The nitrogen and phosphorus loads of rivers is the main cause of water eutrophication, and the majority of nitrogen and phosphorus comes from agricultural non-point sources. LUCC (Land-Use and...
Maintaining safely operable structures such as buildings and bridges requires periodic assessment of the health of the structure. We study the problem of identifying the characteristic modes and frequencies of a structure from small amounts of vibrational data collected from wireless sensors deployed across the structure. Using the recent technique of atomic norm minimization, we show that under certain...
High-refractive-index-contrast optical waveguides can enable ultra-small waveguide with cross-section dimension below 1 µm and bending radii smaller than 20 µm, facilitating the development of ultra-compact photonic integrated devices and circuits. For lithium niobate material, a high-refractive-index-contrast structure can be lithium niobate film on SiO2 cladding (lithium niobate on insulator, LNOI)...
This paper addresses the second-order synchronization between two nonlinear coupled networks with heterogeneous nonlinear dynamics and time-varying delays. In order to obtain second-order synchronization, a controller and adaptive laws are designed. By constructing the Lyapunov function, it is proved that the position and the velocity of two heterogeneous nonlinear coupled networks with time-varying...
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