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Wind turbine wakes effects are critical issues for large wind farms. With the increasing dimensions of wind turbines and wind farms, there are strong interactions between the wind turbine wakes and atmospheric boundary layer (ABL). In this study, we focus on the daily variation of characteristics of ABL and its impact on the development of wind turbine wakes. To investigate this issue, a series of...
Stochastic principal component analysis (SPCA) has become a popular dimensionality reduction strategy for large, high-dimensional datasets. We derive a simplified algorithm, called Lazy SPCA, which has reduced computational complexity and is better suited for large-scale distributed computation. We prove that SPCA and Lazy SPCA find the same approximations to the principal subspace, and that the pairwise...
Contrast patterns are itemsets that frequently occur in one dataset while not in another. These patterns have been successfully applied to many data mining domains, such as prediction, classification and clustering. However, none of the previous studies has considered extracting contrast patterns from different types of datasets. In this paper, we introduce a new type of contrast pattern, Conditional...
In this paper, we focus on the output regulation problem with dissipative property for a class of switched stochastic delay systems via average dwell time (ADT) approach. Dissipativity reduces the conservatism by considering the energy change of external input. A auxiliary matrix is introduced to weaken the general constraint on dissipativity parameter matrixes. Less conservative conditions are established...
Image denoising is an extensively studied problem and can be used in many applications. In this paper, we propose an image denoising method using GMM and gradient sparse priors. GMM is a generic model and usually built based on image patches. Despite the high likelihood of GMM for image patches, the model is learned from image patches only. The relationship of neighboring patches is not learned. The...
In this paper, a direct yaw-moment control (DYC) scheme is proposed for a four-wheel-independently-actuated electric vehicle (FWIA EV). An upper controller is based on a reference model with two degrees of freedom (2-DOF) that generates the desired yaw rate for a sliding mode controller to track so as to improve the vehicle dynamic stability. A torque optimization distribution strategy is designed...
Three-dimensional (3D) morphological information of Zebrafish larvae is important for investigating the development of the vertebrate model. Some existing automated handling systems have already been developed to reconstruct 3D models of micro-objects, but many commercial devices are generally costly and complicated to assemble, which limits their wide usage. In this paper, we present an automated...
The new generation intelligent park is demanded for the flexible utilization mode of distributed renewable energy, energy storage equipment and the various characteristic load access. However, the energy router is correspondingly responsible for energy routing and dynamic control. Its uniform interface supports the plug and play of distributed power, energy storage and load of the intelligent park...
This work proposes and investigates a renewable energy distributed generation system involving a matrix converter with an output filter working as a stable voltage supply. This is especially relevant for the stand-alone operation of a renewable energy microgrid where a stable sinusoidal voltage with prescribed amplitude and frequency under various load conditions is the main control objective. A controllable...
This paper studies a real-case grounding system design for a wind farm and associated equipment. The design is based on the safety criteria provided by Australian and International guidelines listed in the references [1-5]. The wind farm grounding system consists of wind turbine generators, tower base padmounts, 33 kV cable screen and a primary substation. In this paper, grounding system and ground...
This paper presents a time-delayed model predictive control for power converters used in vehicle to grid and grid to vehicle systems. Finite-based model predictive control has proven to be an alternate digital control method for power converters. However, there are some real-time implementation issues, including specifically time delay, that have to be addressed in order to achieve the system reliability...
Battery energy storage system (BESS) has been used to smooth the wind power fluctuations. However, because of the cost of BESS is relatively high, the effectiveness of fluctuation smoothing has been limited. Meanwhile, capacity optimization of energy storage can reconcile the relationship between energy storage cost and the smoothing effectiveness. Thus, a novel sizing algorithm of BESS is proposed...
Characterized by geometry and photometry attributes, point cloud has become widely applied in the real-time presentation of various 3D objects and scenes. The development of even more precise capture devices and the increasing requirements for vivid rendering inevitably induce huge point capacity, thus making the point cloud compression a demanding issue. Considering the non-uniform sampling and time-variant...
Automatic loop-invariant generation is important in program analysis and verification. In this paper, we propose to generate loop-invariants automatically through learning and verification. Given a Hoare triple of a program containing a loop, we start with randomly testing the program, collect program states at run-time and categorize them based on whether they satisfy the invariant to be discovered...
In order to counteract hostile communication based on the advanced Orthogonal Frequency Division Multiplexing (OFDM) technology, an efficient and unrecognizable jamming technique by failing the OFDM cyclic prefix (CP) functionality is developed in the paper. CP is introduced into OFDM systems to prevent interference caused by the multipath fading, as long as it is no shorter than the channel delay...
Current light field compression techniques lack robustness to handle both rate-distortion optimized motion compensation as well as latency during the encoding and decoding process. This paper focuses on a contribution approach that uses advanced frame prediction with affine and translational motion models and optimized view prediction structures. This method allows a significant compression performance...
This paper investigates the fuzzy H∞ filter design issue for nonlinear systems with time-varying delay. In order to obtain less conservative fuzzy H∞ filter design method, a novel integral inequality is employed to replace the conventional Lebniz-Newton formula to analyze the stability conditions of the filtering error system. Besides, the information of the membership functions is introduced in the...
In this paper, we design a novel two-channel sphygmus monitoring system, which can synchronously measure the pulse signals and their difference one from radial artery and ulnar artery. This system uses the CM-01B vibration sensor as a sphygmus sensor, utilizes the WiFi module to transmit data, makes use of the PC software to process and display real-time data of sphygmus. The pint-sized and portable...
The three-phase direct matrix converter has been researched exclusively as a direct AC/AC converter, being a competitive alternative to the conventional AC/DC/AC converter. Other possibilities of the matrix converter such as AC/DC, DC/AC and DC/DC conversion still remain unexplored. This paper firstly explores these possibilities and puts forward a concept of the versatile converter. With one matrix...
This paper presents work on the hysteresis band control for output current regulation in a direct matrix converter in order to drive an induction motor. The hysteresis band controller offers excellent dynamic performance. It has been extensively researched for the voltage source inverter and inverter based drive systems, but it has not been investigated within the context of a matrix converter or...
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