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In this paper, the relationship between real and reactive power sharing in islanded microgrid considering the complex impedance effect is analyzed. It is determined that traditional droop control has drawbacks in achieving accurate power sharing caused by the mismatched feeder line effect. In order to enhance the power sharing accuracy, an adaptive droop control using virtual impedance for islanded...
Training deep neural networks is difficult for the pathological curvature problem. Re-parameterization is an effective way to relieve the problem by learning the curvature approximately or constraining the solutions of weights with good properties for optimization. This paper proposes to reparameterize the input weight of each neuron in deep neural networks by normalizing it with zero-mean and unit-norm,...
Many islands in China are far from the mainland and electricity is difficult to cover or the cost is high, due to this issue, the wind energy, wave energy and solar energy can be used to meet the demand of island power supply. However, the energy density of these renewable energy sources is low and the stability is poor, which may cause power supply instability. To deal with this issue, a multi-energy...
In the direct-drive wave energy conversion(DDWEC)system, the rotor of the linear generator oscillates along the vertical direction, as a result, the active power of the DDWEC and the DC voltage obtained by PWM rectification fluctuate greatly. To deal with this issue, a new biological intelligent controller which is based on the modulation principle of testosterone release is introduced. The models...
To solve the low power density disadvantage of direct-drive wave energy converter, caused by low direct-drive speed. A novel linear tubular field modulated permanent magnet generator is proposed, which can effectively improve the performance of this kind of generators. The operation of the proposed generator is analyzed. The generator performance is evaluated using finite element method. The results...
The multidimensional array is a fundamental data structure that has been widely used in scientific computing, as well as in many big data analytics applications. Distributed multi-dimensional array has been well studied in the High Performance Computing (HPC) platforms; however, little research has been done in the widely-used big data analytics platforms. In this paper, we present an implementation...
Crosstalk noise is a potential issue for optical router used by optical network-on-chip (ONoC). The huge crosstalk directly degrades the performance in optical signal-to-noise ratio (OSNR) at optical router level, and greatly limits the scalability at ONoC level. This paper proposes ILCOR, a low-crosstalk optical router using multi-layer coupled MR. The use of multi-layer coupled MR enables less waveguide...
Optical Network-on-Chip (ONoC) is deemed as a promising candidate in future on-chip interconnection scenario. It is superior to the traditional electrical NoC in many aspects, such as the bandwidth density, power consumption and scalability. On-chip optical router is an indispensable building block in ONoC design. However, most reported optical routers are with four or five ports, which cannot be...
Salient object detection aims to detect the attractive objects on images and videos. In this paper, we propose a novel salient object detection method for videos based on cross-frame cellular automata. Given a video, we first represent the video frames with super-pixels, and construct a saliency propagation network among super-pixels within a frame and between adjacent frames based on their appearance...
In this paper, we consider the design of multi-users space-time modulation (MUSTM) for an uplink MIMO system with one base station equipped with the massive number of antennas and N single-antenna users, where it is assumed that only large scale channel coefficients are available at both the transmitter and the receiver. For such a system, a novel concept called uniquely factorable (UF) MUSTM is introduced...
It is commonly the case that a small number of widely used applications make up a large fraction of the workload of HPC centers. Predicting the performance of important applications running on specific processors enables HPC centers to design best performing system configurations and to insure good performance for the most popular applications on new systems. In the analyses presented in this paper...
Although many methods are available to forecast short-term electricity load based on small scale data sets, they may not be able to accommodate large data sets as electricity load data becomes bigger and more complex in recent years. In this paper, a novel machine learning model combining convolutional neural network with K-means clustering is proposed for short-term load forecasting with improved...
Compared with the conventional wave energy conversion, the direct drive wave energy conversion has the advantages of simple structure, high conversion efficiency. In this paper, an energy tracking control strategy is proposed for direct drive wave energy conversion. Firstly, the basic structure of the linear permanent magnet generator (LPMG) is introduced. Secondly, the simulation model of the LPMG...
In this paper, with the help of controllable active near-infrared (NIR) lights, we construct near-infrared differential (NIRD) images. Based on reflection model, NIRD image is believed to contain the lighting difference between images with and without active NIR lights. Two main characteristics based on NIRD images are exploited to conduct spoofing detection. Firstly, there exist obviously spoofing...
Region-based Image Retrieval (RBIR), which bases itself on image segmentation rather than global features or key-point-based local features, is a branch of Content-based Image Retrieval. This paper proposes a novel RBIR-oriented image segmentation algorithm named Edge Integrated Minimum Spanning Tree (EI-MST). The difference between EI-MST and the traditional MST-based methods is that EI-MST generates...
Exercise is considered as an effective mean against overweight and obesity-related diseases. In this paper, a real-time activity recognition and counting approach is proposed to evaluate amount of exercise only using a wearable smart watch. First, accelerometer and gyroscope data are collected to extract efficient features. Then Support Vector Machine classifiers are trained to recognize nine common...
Recent advances in salient object detection in images have achieved obvious performance in various multimedia applications, but efficient salient object detection in videos is still a challenging problem. In this paper, we propose a novel salient object detection method based on spatio-temporal difference and coherence of video content. Firstly, we initialize the saliency map for each keyframe based...
We characterize upper bounds on the throughput capacity of a multi-tier millimeter wave (mmWave) network with diverse blockage probability, p(n), scaling scenarios. Communication links in the network are divided into three communication tiers sharing a single mmWave frequency. The bottom tier considers transmissions between n terminals and M (n) access points (APs). The top tier includes links between...
A double buoy power generation system using the field-modulating tubular linear permanent magnet generator (FMTLPMG) is proposed for wave energy conversion in this paper. Ocean wave theory is adopted to analyze the double buoys hydrodynamic problems and calculate the relative velocity. The traditional linear generator has disadvantages of big weight and low power density caused by the slow ocean wave...
The paper presents a novel linear continuous magnetic gear generator for direct-drive wave energy conversion in which continuous gear ratio is suitable for different sea conditions. In this paper, the operating principle of the proposed machine is introduced, and the no-load and load characteristics are analyzed by finite element method (FEM). The proposed generator with continuous ratios varies operation...
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