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For practical mechanical systems, including inertia wheel pendulums, they unavoidably suffer from the unexpected influences brought about by frictions and extraneous disturbances. Hence, it is essential for the developed control approach to be capable of overcoming these unfavorable factors. In the present paper, we consider the problem of controlling underactuated inertia wheel pendulum systems in...
This paper studies a power beacon-assisted wireless-powered communication network, consisting of one hybrid access point (AP), one information source, and multiple power beacons (PBs). The source has no embedded power supply, and thus, has to harvest RF energy from the AP in the downlink before transmitting its information to the AP in the uplink. The PBs are deployed to help the AP charge the source...
In this paper, an FPGA-based moving object detection and tracking system is introduced for image processing application. The algorithms presented include object detection based on dynamic background difference, Kalman filter for object tracking. The target device for the implementation is a Xilinx Zynq-7000 FPGA. The use of ARM dual core processor, NEON vector coprocessor unit and coprocessing IP...
In this paper, a scheme of a large point FFT processor with configurable transform length is proposed. To achieve a pipelined structure, the proposed scheme is designed by Radix-2 decimation-in-frequency (DIF) FFT algorithm with Single-path Delay Feedback (SDF) architecture. A prototype is implemented on Xilinx Virtex-7 XC7VX690T FPGA, which can compute 16∼128K FFT at a speed as high as 350MHZ. This...
This paper introduces an algorithm based on the context of MRF (Markov random field) model, and this method achieved oil spilling detection and segmentation. In this paper, the two important elements are initial labelling field and potential parameter estimation. The algorithm model chooses optical pyramid of saliency map as initial label field and Ising model as segmentation function. Using the GMM...
This paper proposes a new SAR (Synthetic Aperture Radar) image watershed segmentation method based on contextual statistical features analysis. This method firstly homogenizes all the sub-blocks of image by analysing statistical features, and then extracts the feature of each homogenized sub-block. Finally, the watershed area of this image can be segmented by means of Otsu algorithm. The experimental...
For the surface water body extraction from China GF-1 satellite multi-spectral images, this paper proposes a algorithm based on the LBV transformation analysis method. The LBV transformed images can be used more effectively for the analysis of ground features than the original multi-spectral satellite images. So in the proposed method, the LBV transformation equations for GF-1 images are firstly discussed...
This paper concentrates on the hardware implementation of CORDIC algorithm for computing inverse trigonometric functions like arcsine and arccosine. We improve the existing algorithm by changing the initial rotating vector of the iterations and modifying the judging condition of rotation direction. Due to the improvement, two iterations are saved and the drawback of the previous algorithm is corrected...
This paper proposes and implements the relative radiometric correction for remote sensing images based on Vi-vado HLS with FPGA. This design not only simplifies the development process, but successfully achieved the purpose of improving the image quality of remote sensing image. Firstly, this paper gives a brief analysis on the radio-metric correction algorithm based on histogram matching correction,...
Extracting the oil spills in SAR images has been challenged by the spatial heterogeneity caused by the speckles. In this paper, we present a novel variational formulation based on the local characteristics of SAR images for CV mode. The proposed method is aimed to solve the segmentation problem caused by SAR image speckles. Compared with the traditional CV model, the performance of the improved CV...
This paper proposes a novel region of interests extraction method for remote sensing image based on visual saliency analysis as well as the multi-scale saliency fusion mechanism. Firstly, under the theory of multi-scale and multi-resolution analysis, the Gaussian pyramid representation is generated. Then, various spatial features are exploited to compute saliency maps under different scales. Finally...
The reduction of SAR image speckle noise is an important issue. However, the existing denoising methods may cause the resolution and details loss. This paper proposes a SAR image speckle reduction method based on the guided image filtering. This method combines the edge-preserving property of guided filtering and can maintain the detail information meanwhile suppressing the speckle. Experimental results...
In this paper, we focus on the widely-used radix-22 Decimation-In-Frequency (DIF) Fast Fourier Transform (FFT) algorithm. A variable-length, controllable-precision FFT processor is proposed. The processor can perform 16, 64, 256 and 1024 point FFT/IFFT and provide flexible wordlength scaling modes for different FFT stages. Thus, the processor is suitable for different precision and FFT length requirements...
This paper presents a method of the implementation of a verification platform. The platform is applied to an ASIC chip designed for the key algorithm of SAR signal processing. The design is a complicated process and the chip function is computationally burdensome, thus the verification is difficult. Balancing the competing demands for efficiency, quality, time and cost, the verification platform is...
A boy wants to make friends with a pretty girl. He feels that he may get rejected if he invites her directly. In this situation, what he could do is to influence the girl's friends. Similar situations may occur in social activities. Based on this background, we formulate a new optimization problem, the Target Influence Maximization (TIM) problem and show that this problem can be solved in polynomial-time...
The interaction between individuals are usually modeled as weighted edges in a social network. This information, however, is often unavailable in practice. On the other hand, information diffusion process upon the underlying network is observable. Hence sophisticated algorithm is needed to infer the edge set and edge weights from observed cascade set. To deal with this problem, we derive the likelihood...
This paper investigates a wireless-powered communication network (WPCN) setup with one multi- antenna access point (AP) and one single-antenna source. It is assumed that the AP is connected to an external power supply, while the source does not have an embedded energy supply. But the source could harvest energy from radio frequency (RF) signals sent by the AP and store it for future information transmission...
In this paper, we consider a wireless-powered cooperative communication network, which consists of a hybrid access-point (AP), a hybrid relay, and an information source. In contrast to the conventional cooperative networks, the source in the considered network is assumed to have no embedded energy supply. Thus, it first needs to harvest energy from the signals broadcast by the AP and/or relay, which...
Since the blooming of mobile computing era, all semiconductor providers are seeking to provide low-power, high-performance, high-compact solutions to consumers. System on Chip (SoC) is a prominent solution for integrating multiple functions into one compact size chip. However, for many new applications with high intensive computing demands, such as GPS location, High Definition (HD) video recording...
Remote diagnosis systems can improve internet technology by monitoring the equipment status; it increases availability of production and facility equipment, reduces Mean Time to Repair (MTTR), and depletes field service resources and costs. In this paper, we propose a prototype of remote diagnosis system with UML and data mining technique—support vector machine. We adopt UML to model and design the...
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