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Solving the global method of Weighted Least Squares (WLS) model in image filtering is both time- and memory-consuming. In this paper, we present an alternative approximation in a time- and memory- efficient manner which is denoted as Semi-Global Weighed Least Squares (SG-WLS). Instead of solving a large linear system, we propose to iteratively solve a sequence of subsystems which are one-dimensional...
Cloud computing is growing rapidly due to its features of low cost, space saving, sharing etc., yet security issues are still a major concern. Multi-cloud computing technology was developed, in part, to address security concerns. One technique could use the Shamir's secret sharing method which is based on risk diversification. This work offers a solution strategy allowing users to allocate their resources...
This paper proposes a demand-side pricing strategy to purchase regulation service. The demand-side regulation service has the advantage of lower cost and faster response to reduce the utility company's cost comparing with the traditional automatic generation control (AGC). Thus, it is necessary for the utility company to make a tradeoff between the demand-side regulation and the AGC to minimize the...
This paper proposes an automated topology optimization technique for internal antenna design using an improved BPSO. A new transfer function with a time-variant transfer factor is proposed to improve the problem of easily falling into local optimum in conventional BPSO. Compact tri-band planar antenna design is presented, showing that the proposed technique significantly outperforms the previous topology...
In this paper, a novel dual-band suspended stripline (SSL) filter is proposed. Based on traditional designing technique, a band-pass SSL filter is designed. Considering the unique properties of metamaterials, we apply it to the filter structure designing. Metamaterials can produce negative permittivity and thus there forms a dual-band. The simulated results exhibit low insertion loss, high selectivity...
Based on dispersion engineering of the electric dipoles, we design a tunable reflection-type phase modulator(PM) with constant group delay time(GDT). The PM is demonstrated a high coupling efficiency and good linear phase reflective response in 8.4–11.4GHz. The time-domain response is also analyzed, which presents a coherent result with frequency responses. The PM can be used to design achromatic...
This paper presents a design of broadband metamaterial absorbers based on spatially dispersive split ring resonators (SRRs). Because of negative permeability of SRRs, magnetic surface plasmons (SPs) are realized based on SRRs for s-polarized waves. And then, by spatially dispersion engineering, a serially structure of SRRs with heights variation is designed to realize a broadband absorber. The simulation...
Although the navigation safety has been greatly improved nowadays, automation of ship driving are not achieved completely as the automation of collision avoidance has not achieved perfectly. This paper mainly research on ship domain modeling and application for ship collision avoidance. The novel achievements are that it proposed a 3-d model of ship domain and improved the danger judgments of collision...
A four-terminal overhead line demonstration high voltage direct current (HVDC) grid for renewable energy power integration and transmission will be constructed around 2019 in Zhangbei district, northwest of Hebei province of China. As the high failure probability of the overhead and the low damping coefficient of DC grid, the suitable ultra-high speed protection against DC line fault needs to be developed...
With the rapid development of voltage source converter (VSC) based high voltage direct current (HVDC) transmission technology, the HVDC grid will be an effective solution for large-scale renewable energy generations integration. The modular multilevel converter (MMC) is one the most promising topology for HVDC and DC grid presently. The precharge of the MMCs and start-up of DC grid are essential problems...
This paper addresses issues in human fall detection from videos. Unlike using handcrafted features in the conventional machine learning, we extract features from Convolutional Neural Networks (CNNs) for human fall detection. Similar to many existing work using two stream inputs, we use a spatial CNN stream with raw image difference and a temporal CNN stream with optical flow as the inputs of CNN....
In this paper, we present a novel tone mapping algorithm based on multi-scale histograms and fusion (MS-Hist), for displaying wide dynamic range (WDR) images and better detection of objects such as human faces. The proposed algorithm tone maps pixels based on multiple scale local histograms, where small scales are used to preserve local contrast and large scales allow to maintain the global brightness...
In the era of the Internet, people are active in multiple online services, and they usually have accounts on more than one online service. Each account is a virtual identity of the user. In order to trace individual's online behavior at any time and any places, linking virtual identities belonging to the same natural person across different online service domains is very important. Existing methods...
A pulse width tunable passively Q-switched fiber laser is demonstrated by using a graphene saturable absorber (GSA) with graphene-covered-microfiber (GCM) structure. Due to the cross absorption modulation (XAM) effect in graphene, the modulation depth of the GSA could be varied from 3.22% to 2.16%%, which results in that the output pulse width and the repetition rate of the laser could be varied from...
Removing pixel-wise heterogeneous motion blur is challenging due to the ill-posed nature of the problem. The predominant solution is to estimate the blur kernel by adding a prior, but extensive literature on the subject indicates the difficulty in identifying a prior which is suitably informative, and general. Rather than imposing a prior based on theory, we propose instead to learn one from the data...
Recently, with the rapid development of earth observation (EO) techniques, the similar object information has been acquired in different regions, by the use of various sensors. It brings up a new challenge, that is, how to identify cross-domain objects. To cope with this difficulty, we first revisit the linear discriminative Laplacian eigenmaps (LDLE) in this paper, and further add a Bregman divergence...
This paper proposes a scattering model based segmentation technique for polarimetric synthetic aperture radar (PolSAR) images. The method is composed of two main parts: merging predicate and merging order. The merging predicate is based on the idea of the fractal network evolution algorithm (FNEA). The heterogeneity of the scattering characteristics between adjacent regions is calculated to judge...
A lodged wheat detection algorithm by applying a false alarm rate to the circular-pol correlation coefficient (CCC) and the total scattered power (Span) is proposed. The CCC is first used to identify non-lodged wheat, which is reflection symmetry. The Span feature is introduced to distinguish lodged wheat from canola in the study area, according to their large difference in scattering intensity. The...
Accurate and timely change detection of Earth's surface features is extremely important for understanding relationships and interactions between people and natural phenomena. Post-Classification Comparison (PCC) methods based on supervised change detection are widely used in change detection for remote sensing images, but are easily affected by a significant cumulative error of single remote sensing...
In this study, the radar backscatter features of the shallow water topography of Subei bank in the Southern Yellow Sea are investigated using ENVISAT (Environmental Satellite) ASAR (advanced synthetic aperture radar) images. Different bathymetric features are found on SAR imagery, which correspond to sea surface imprints of tidal channels or sand ridges, respectively. Preliminary analysis demonstrates...
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