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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...
The synchronous control of multi-motors is essential in multi-axis motion control system. Compared to single-axis tracking error, the synchronization error, responsible for final machining accuracy, is more important. There is correlation among axes, which can lead to mismatch in speed and position among axes when different load disturbances or other factors of each axis emerge. That means appropriate...
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...
This paper describes a model of multi-target detection and gravitation by hypothetical microscale bioparticles. These bioparticles are capable of basic micro-scale communication based on established behavior observed in bacterial communities in nature. The bioparticles seek to distribute in the environment and secrete 'attractant' and 'repellent' molecules upon detecting targets. The attractant and...
For limitation in switch selection and the torque ripples in the traditional direct torque control, an improved direct torque control method is proposed in this paper. This control strategy combines the direct torque control strategy and model predictive control strategy. First of all, pre-select the switching states from the direct torque control strategy and then select the switching state of the...
Flux-switching permanent magnet linear generator (FSPMLG) has advantages of simple translator structure, and is well suited for the applying for wave energy extraction. In this paper, a gird-unconnected control strategy for FSPMLG based on the vector control and the PI controller is proposed. Firstly, the basic structure of the FSPMLG is introduced. Based on the mathematical models of the FSPMLG,...
Compact polarimetry is a hybrid polarity imaging mode. In this study, we propose a new algorithm based on least-squares (LS) error to estimate the quad-pol coherency elements. Different from the existing quad-pol reconstruction methods, the proposed method can be directly applied to the single look complex compact data, while all the other existing algorithms are based on the multi-look speckle reduced...
As the main noise source of high-speed train, aerodynamic noise has a great influence on surrounding environment and ride comfort, which a thorough understanding should be obtained. In this paper, fluid wave equation is constituted based on the fluid dynamics theory and the generation mechanism of aerodynamic noise is analyzed. Then, three-dimensional physical model of the high-speed train is established,...
Twitter as a big data social network becomes one of the most important sources for capturing the up-to-date events happening in the world. Topic derivation from Twitter is important for various applications such as situation awareness, market analysis, content filtering, and recommendations. However, tweets are short messages, which makes topic derivation challenging. Current methods employ various...
In this paper, we present a novel method in making recommendations by leveraging Tie Strength, an integrated social relationship measurement calculated from various user information gathered from social media. Moreover, the proposed method adopts Least Absolute Errors in factorization scheme to reduce the sensitivity to data outliers. We have conducted comprehensive experiments over the real datasets...
This paper reports a new method for controlling micro- and nano-droplets by the aid of heat. Computational fluid dynamics (CFD) simulation results suggest this technique is capable of conveniently controlling the droplets sizes down to several micrometers or even nanometers. This pilot research offers the possibility of fabricating micro-droplet with specific size and without changing the fluid. Three...
Nonlocal regularization has been verified as an effective way to estimate optical flow. Most work in this line constructs the regularizer by only considering the structure of regular grid-like nonlocal neighborhood, but not explicitly takes advantage of the global structure. In this paper, we propose to construct a super pixel based region tree to explicitly incorporate the global structure information...
By collecting the data from thermal cycling test of an lead-free BGA interconnection structure, using type-I interval censored data processing method and modified Emgelmaier fatigue life model, the cycles to failure of lead-free solder joint are predicted. The comparison between the results obtained by proposed methods and the life calculated by Matlab verifies the practicability and effectiveness...
In this paper, a novel method is developed for the 3-D reconstruction of coronary artery trees from two angiographic images. Due to the rotational distortion and unpredictable motion of the imaging chain, the commonly used pinhole camera model cannot obtain desirable reconstruction of the vascular trees. Curvature Scale Space (CSS) approach is used to find correspondence by choosing two similar views...
The rapid development of information technology and the severe competition of the bank industry make the internet banking become a new service channel for Chinese banks to acquire new customers and to retain the existing customers. Because the larger part of the profit in internet banking is from the existing customers, Chinese banks have been making their great efforts in order to win the market...
Brain magnetic resonance (MR) images are significant for brain studies because of their excellent contrast of soft tissues, non invasive characteristic and a high spatial resolution. However, Intensity inhomogeneity is an undesired phenomenon that represents the main obstacle for brain MR image segmentation. In this paper, we propose a novel model which can overcome the intensity inhomogeneity problem...
Doppler Centroid estimation is a crucial problem in Synthetic Aperture Radar(SAR). In Bistatic SAR (BiSAR) phase synchronization error and Doppler phase have nearly the same form; Doppler centroid can not be estimated in traditional way. A Doppler centroid estimation method is proposed for Space-Surface BiSAR system through phase-cancellation of Dual-channel direct signal. Through phase cancellation,...
Signal model has great significance to time and phase synchronization research in a bistatic radar. In prevenient research, time synchronization and phase synchronization are investigated separately and their coupling relation has not been investigated. This paper introduces a bistatic radar signal model according to system's composition and operation procedure. From the radar operation principle,...
This paper offers a system dynamics method to analyze competition of China's domestic airline courses between main cities which are operated by only two main airlines. The model highlights four factors that affect purchase behavior: price, safety impression, service quality, punctuality rate and define the concept of airline's total impression based on the latter three factors. Real data is collected...
In this paper, we propose a new model, the lognormal mixture model (LMM), for characterizing the non-negative sea clutter in intensity/amplitude SAR images. By a change of variables, we show that the LMM is in fact equivalent to the Gaussian mixture model (GMM) in the log intensity/amplitude domain, and thus the parameters can be effectively estimated using the expectation-maximization (EM) method...
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