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In this paper, a framework based on fine resolution thematic map, namely, interpolation then classification (ITC) is proposed. Firstly interpolation algorithm is applied in the original coarse hyperspectral imagery to derive a high-resolution imagery with generous prior information. Then fine resolution thematic map is derived from the high-resolution imagery by the available classification methods...
In recent years, both passive and active (i.e., Synthetic Aperture Radar or SAR) satellite remote sensing has proven to be valuable tools for mapping land cover. Most of the classification algorithms are based on image-intensity and they do not perform well in different coastal zone types, because these terrains have similar optical or radar backscattering signals. In this paper we propose a weighted...
Task allocation is an essential part of many applications of WSANs. The key problem of task allocation in these systems such as intelligent minefield is how to obtain the node-target assignment. Mathematical model with task effectiveness as the evaluation index was built on the analysis of multi-node cooperative decision problem. Combing with the target's parameters and node's own status, the influence...
In this paper, a surface multi-pad stimulation electrode with selective characteristics was designed, it was safe to use and easy to mount. Then a wearable and distributed multi-pad functional electrical stimulation (FES) prototype combined with sensing, communication and smart technology was designed, which can achieve a fast, intelligent optimization to determine stimulation electrode sites and...
The pipeline network interfered by the stray currents has been verified to be a complex nonlinear dynamical system. This paper shows that the chaotic characteristic could be utilized in the stray currents control. To prove this, this paper establishes an equivalent chaotic control model. Then we analyze this model by using Melnikov method and find out the condition under which the chaotic phenomenon...
A novel disturbance rejection control scheme is proposed to address the robust attitude control problem for the air-breathing hypersonic vehicle (AHV) with mismatched disturbances. The attitude control system is decomposed into two subsystems, the outer-loop subsystem and inner-loop subsystem. The predictive sliding mode control (PSMC) is utilized to attenuate mismatched model uncertainties imposed...
With the development of the Plug-in Electric Vehicles (PEVs), it has become a significant part of electric load. The optimal PEVs' charging and discharging scheduling is a vital problem when PEVs connect into the smart grid. In most literatures, the charging and discharging procedure is assumed idealized. In reality, many uncertainties are exist during the procedure, such as the conversion efficiency,...
Tracking single or multiple maneuvering targets is an urgent need for defense. In order to meet the military requirement, we propose a modified clustering-based Rao-Blackwellized particle filter (CBRBPF) to track single or multiple maneuvering targets with observations received by single or multiple sensors. The modified RBPF is basing on the clustering-based data association method. We partition...
Dense views are needed urgently for autostereoscopic three-dimensional (3D) displays. A dense view synthetization system with three input views which are captured by a three-camera rig is presented. In the system, an image preprocessing step is presented before rendering dense views, in which both color and depth images are optimized by the proposed adaptive joint view optimization algorithm. Then...
Telecom Customer churn prediction is a cost sensitive classification problem. Most of studies regard it as a general classification problem use traditional methods, that the two types of misclassification cost are equal. And, in aspect of cost sensitive classification, there are some researches focused on static cost sensitive situation. In fact, customer value of each customer is different, so misclassification...
This paper investigates the exponential stabilization problem of nonlinear parabolic partial differential equation (PDE) systems via sampled-data fuzzy control approach. Initially, the nonlinear PDE system is accurately represented by the Takagi-Sugeno (T-S) fuzzy PDE model. Then, based on the fuzzy PDE model, a novel time-dependent Lyapunov functional is used to design a sampled-data fuzzy controller...
We present a technique for semi-automatically super-deforming 3D character models. Super deformation is a unique style of exaggeration, often seen in Japanese animation and manga, to enhance characters' cute appearances. Specifically, super-deformed (SD) characters are chubby with stubby limbs and oversized heads. Given a reference SD model with a rig and a target character model, our method automatically...
Detecting events on time series data generated by sensors has received a great amount of attention with increasingly deployment of variable sensors. In this paper, we propose a novel framework for classifying events upon sensors data called BEC. Given long raw time series and event labels on fuzzy time points, BEC extracts burst-based features to represent the events. There are mainly two important...
Modular Multilevel Converter (MMC) is one of the most promising topology in medium- and high voltage high power application such as high-voltage dc (HVDC) transmission systems and medium voltage drives (MVD). In high power application, the semiconductor loss modelling is essential for system efficiency evaluation, thermal system design. Power loss information is also indispensable in device thermal...
The computing paradigm of MapReduce is popular for data analysis since the volume of data to analyze grows rapidly. Hadoop, an open-source implementation of MapReduce, is the most popular framework for MapReduce programs. But it still suffers from the job delay caused by node failure and task failure. This paper proposes a novel Task Recovery mechanism based on Checkpointing Intermediate Data (TRCID)...
This paper focuses on the application of demand response (DR) in electricity customer classification and management, puts forward universal DR level index and load curve level index, constructing the customer classification index system. Principal component analysis (PCA) is used to reduce the original data dimension. Then the two methods for clustering are adopted and compared with the results. An...
Power electronic converter loads are widespread in DC distributed power system. These tightly controlled converter loads behave as constant power loads (CPL) and may cause stability issue when fed by a source converter. This paper proposes a nonlinear control method to stabilize DC/DC boost converter feeding CPL. The proposed controller is based on adaptive backstepping and nonlinear disturbance observer...
In this paper, we demonstrate a novel approach to form ultra-sharp high-aspect-ratio and high density nanotips at low temperature suitable for integration with nano-electro-mechanical structures in CMOS compatible manner. For the first time, Cr thermally evaporated Spindt tips have been studied and achieved a tip radius as small as 3nm. An array of 250nm wide and 4μm tall nanotips have been fabricated...
Power sharing performance is a critical issue of hybrid energy storage system (HESS) in autonomous DC microgrid (MG). In this paper, a novel integral droop (ID) is proposed to mimic dynamic characteristics of the capacitor by using energy storages (ESs) with quick response. The main advantage of the proposed controller is that dynamic power sharing among ESs is automatically realized in the decentralized...
In order to stabilize the power fluctuation caused by distributed energy in the bipolar-type DC micro-grid, a new hybrid energy storage system (HESS) coordination control strategy is proposed in this paper. First, in order to take advantage of lithium battery and super capacitor complementary performances, a cascade structure of the lithium battery and the super capacitor is adopted. Meanwhile, voltage...
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