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This paper presents the modeling of variable inductors (VI) following an analytical procedure. Usually, in a VI a dc magnetic flux is injected into the structure in order to provide a bias level that allows for magnetic permeability modulation. The ac magnetic flux is superposed to this dc level, thus making it possible that a variable inductance can be seen from the ac windings. Under the assumption...
This paper presents an integrated-stage AC-DC LED driver based on Flyback and Class-E converter with high power factor. The Flyback circuit works in discontinuous conduction mode (DCM) to realize the power factor correction (PFC) function, and the Class-E circuit is used as DC-DC converter to transform the energy to the LED load. The integrated topology can decrease the cost of system. Moreover, the...
This paper introduces a design of K-band down converter module based on microwave hybrid integrated. The module receives microwave signals from 25.3 GHz to 26.3 GHz, and outputs IF signal of 2.63GHz. The module using single frequency conversion scheme, which matches, amplifies and attenuated of input RF signal, then mixed with LO signal by four times, and produces the IF signal. The IF signal is output...
Photorealistic frontal view synthesis from a single face image has a wide range of applications in the field of face recognition. Although data-driven deep learning methods have been proposed to address this problem by seeking solutions from ample face data, this problem is still challenging because it is intrinsically ill-posed. This paper proposes a Two-Pathway Generative Adversarial Network (TP-GAN)...
This paper designs a multifunctional remote-controllable home system based load aggregation management system. On the one hand, this system combines the Load Aggregators with Smart Home and presents an effective and practical method to realize household load management. When the household loads are needed to adjust by load aggregators, the system can automatically control the load on the user side...
Feature matching is fundamental to many vision tasks. Due to the low visibility of images in underwater environments, traditional pixels-based matching methods suffer from miss-matching or error-matching. Recently, Superpixel based features have been applied to image feature analysis. However, most of existing methods dedicate to rectified stereo matching with images captured in the air. This paper...
With the development of internet and information technology, educational informatization is increasingly focusing on the use of modern technology to provide powerful teaching assistance. Learning resources intelligent recommendation is essential in Smart Education. The paper proposes two aspects of recommendation strategy. First is the basic recommendation strategy, which includes teaching process,...
Intelligent video surveillance technology has been increasingly used in the field of transportation. Real-timely capturing traffic video data through the UAV is a new way to get road condition. In this paper, we set the statistics of road traffic flow as the starting point. After analyzing the characteristics of videos shot by the UAV, we choose to use the deep learning framework based on Faster-RCNN...
Accurate registration plays a critical role in group-wise functional Magnetic Resonance Imaging (fMRI) image analysis, as spatial correspondence among different brain images is a prerequisite for inferring meaningful patterns. However, the problem is challenging and remains open, and more effort should be made to advance the state-of-the-art image registration methods for fMRI images. Inspired by...
Traditional task-based fMRI activation detection methods, such as the general linear model (GLM), assume that the fMRI signals of activated brain regions follow the external stimulus paradigm. Typically, these activated regions are detected independently in a voxel-wise fashion, and the interaction among voxels is nevertheless neglected. Despite the wide use and remarkable success of GLM, the temporal...
Task-based functional magnetic resonance imaging (tfMRI) is widely used to localize brain regions or networks in response to various cognitive tasks. However, given two groups of tfMRI data acquired under distinct task paradigms, it is not clear whether there exist intrinsic inter-group differences in signal composition patterns, and if so, whether these differences could be used for data discrimination...
Cortical folds encode crucial information of brain development, cytoarchitecture and function. It is widely accepted that common anatomy is preserved across individuals within species, while huge variation still hamper establishing fine-grained anatomical correspondences and predicting the locations of a specific anatomical pattern via conventional image registration methods, especially for complex...
Greenhouse gas emission by the increasing number of vehicles have become a significant problem in modern cities. To save energy and protect environment, recommending fuel-efficient routes to drivers becomes a promising way to alleviate this issue. To this end, in this paper, we present a novel fuel-efficient path-planning framework called GreenPlanner, which contains two phases. In the first phase,...
A two-stage quasi-resonant LED driver with digital control method is proposed in this paper. The first stage of this converter is a boost circuit with power factor correction (PFC) function and the second stage is a dual Buck circuit which works in quasi-resonant zero voltage switching (ZVS) state. Because of the soft switching characteristics of the converter, switching losses are reduced and efficiency...
Traditional flyback LED driver is limited by its low performance which usually dissatisfy the power factor (PF) and Total Harmonic Distortion (THD) according to Energy Star or IEC61000-3-2. The control loop from secondary-side to the primary-side has low reliability to reduce the working lifetime and employs more components, which reduces the power density of system. In this paper, based on single-stage...
Since operation parameters along the high speed railway distribution system can be obtained from the Remote Terminal Units (RTUs) installed in the box-type substations, this paper proposes a novel strategy for fault location in high speed railway distribution system based on the voltage sag profiles. The proposed method matches the calculated voltage and measured voltage to locate the fault section...
Digital recognition with lip images has become a key step of the interactive liveness detection for Chinese banking systems. However, the problem of the digital recognition is very challenging due to intra class variation of lip images, head pose variations, and uncontrolled illumination. This paper studies a deep learning architecture to model the appearance and the spatial-temporal information of...
Panoramic technique is a kind of virtual reality technology about space or objects 360° observed, In the mobile Internet era, displaying in the mobile terminal in the form of H5 is convenient also usability, and also can put virtual reality technology into practical. This article describes the static image processing and how to display 360 panorama and the three-dimension model of the object structure...
Once the UHV transmission lines were put into operation, it is hard to repair at outage. The live working is the forceful guarantee for the security and stability of operation of the UHV transmission lines. The length of the UHV strain insulator string achieves about 12.5 m and the distance between the adjacent strings achieves about 1.0 m. As entering the strong electric field along the UHV strain...
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