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Recently, more neuroscience researches focus on the role of dendritic structure during the neural computation. Inspired by the specified topologies of numerous dendritic trees, we proposed a single neural model with a particular dendritic structure. The dendrites are composed of several branches, and these branches correspond to three distributions in coordinate, which are used to classify the training...
Human motion capture techniques (MOCAP) are widely applied in many areas such as computer vision, computer animation, digital effect and virtual reality. Even with professional MOCAP system, the acquired motion data still always contains noise and outliers, which highlights the need for the essential motion refinement methods. In recent years, many approaches for motion refinement have been developed,...
Although the Filter bank multicarrier with offset quadrature amplitude modulation (FBMC-OQAM) systems are robust against double selective fading channels, it unfortunately is still sensitive to timing offset and carrier frequency offset (CFO) errors. To solve this synchronization problem, in this paper, we propose a new data-aided timing and CFO synchronization scheme, that exploits the conjugate-symmetry...
With the widely application of high-resolution remote sensing images, its classification has attracted a lot of attention. Usually, some different categories share common patterns, which make these categories look similar. This makes the classification of such categories a challenging task. In this paper, we propose a novel dictionary learning based bilayer classification algorithm to solve this problem...
Short text is the most commonly used form of expression in the network. As short texts like microblog do not provide sufficient word occurrences, sentiment classification methods that use traditional approaches have limitations. In this paper, we propose a short text sentiment classification model called FECEM base on short text entropy optimization method. This method first selects sentiment features...
With the widely application of high-resolution remote sensing images, its classification has attracted a lot of attention. Most classification methods focus on various combination of features and ignore the similarities between different categories. In this paper we present a modification by combining ScSPM [1] with a dictionary learning method DL-COPAR [2], which separates the particularity and commonality...
In concatenative based speech synthesis, the purpose of unit selection is to select proper speech units from speech corpus by measuring how well the selected units match the given features. Perceptual test indicates that some features are always preferred to make perceptual distinction between units. Such features should be judged prior to others in unit selection. In this work, we attempt to identify...
For non-contiguous OFDM (NC-OFDM) based cognitive radio systems, one challenge is to establish the spectrum synchronization before the data transmission over an idle channel. In this paper, we propose two novel detection schemes, i.e., hard-decision-based detection (HDD) and soft-decision-based detection (SDD) schemes, to detect NC-OFDM symbols without the information of out-of-band spectrum synchronization...
For non-contiguous OFDM (NC-OFDM) based cognitive radio (CR) systems, one of huge challenges is to establish spectrum synchronization before data transmissions. In this paper, we propose a novel active subchannel detection scheme for the NC-OFDM receiver without out-of-band spectrum synchronization information. The key idea of the proposed scheme is to employ the received training symbol to calculate...
According to training requirements that a substation virtual training scene needs substation virtual equipment with high actual sense and high interaction. This paper proposes a thought which is used to achieve substation virtual equipment by 3D engine, and then generalizes a method which contains geometrical characteristic, interactive characteristic and behavioral characteristic towards Virtual...
The three-dimensional visual emulation system can be used as a training simulator for photoelectric theodolite, the system construction, the generation and show method of the 3D Scene in the virtual environment is presented in detail.
Due to the dynamics and mobility of mobile ad hoc networks (MANETs), intrusion detection techniques in MANETs must be adaptive. In this work, we propose detection schemes that are suitable to detect in-band wormhole attacks. The first detection scheme uses the Sequential Probability Ratio Test (SPRT). The SPRT has been proven to be an optimal detection test when the probability distributions of both...
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