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On the purpose to access the motion and structure information of space targets, a line segment matching method of space target sequence based on optical flow prediction was proposed. Firstly, the Edge Draw Lines (EDLines) algorithm was adopted to extract line segments, and then the optical flows of pixels on the line segments and Line Band Descriptor (LBD) of the line segments were calculated. Optical...
Digital watermarking algorithms usually focus on texture masking due to the increasing noise insensitivity in texture regions. However, not all images have abundant texture regions. For images containing primarily edges and smooth regions, an image watermark should be embedded in edge areas. An adaptive edge-masking based on Total Variation (TV) decomposition for digital watermarking is proposed in...
In the field of video fire detection, traditional fire color models have the poor adaptability and week robustness to interference. As fire can be divided into fire core, inner fire and outer fire areas depending on it's temperature and color, a new fire recognition model referring to the dispersion of fire color components is proposed in this paper. The threshold of B component standard deviation...
In this paper, we present a novel single channel speech enhancement method based on joint Deep Neural Network (DNN) and Wiener Filter as a whole network named Wiener Deep Neural Network (WDNN). The proposed method contains two stages: the training stage and the enhancement stage. In the training stage, WDNN predicts the clean speech magnitude spectra and the noise magnitude spectra from noisy speech...
Pedestrian detection is a key technology in autonomous driving perception system. Although the current vision-based pedestrian detection has obtained very good detection performance, the camera is sensitive to light and shadow. In addition, it is unable to provide precise location information, which is difficult to address autonomous driving problem. To tackle these issues, a LIDAR subsystem is applied...
In the big data era, competitive intelligence-related studies should focus not only on technical realization of intelligence collection and analysis, but also on providing knowledge and intellectual support for enterprise core competence. A complete knowledge hierarchy revealing original and common characteristics of CI demands of the firm is extremely critical. This paper demonstrates a knowledge...
A new Direction-of-Arrival (DOA) estimation method based on a Joint Diagonalization tool for Fast Blind Source Separation (FBSS-DOA) is proposed in this paper. A group of correlation matrices possessing diagonal structure are generated. A cost function of joint diagonalization for blind source separation is introduced. For solving this cost function, a fast multiplied iterative algorithm in complex-valued...
Blood cell images are difficult for segmentation because of their intrinsic characteristics. We proposed a dual-layer structure to solve the problem: the 1st layer introduces and simplifies pulse coupled neural network to split the images based on traditional Split-Merge method, and Mumford-Shah model was utilized to merge the split areas. The output of the first layer is a coarse segmented image...
In construction of parallel runways, currently the mainstream of airport runway configuration, the Closely Spaced Parallel Runways (CSPRs) are frequently employed. This paper first analyzed the different utilization modes of CSPRs with flush or staggered threshold. After which the simulation software “Simmod” was applied to establish computer simulation models for different utilization modes of runways...
Wind solar hybrid power utilizing wind and solar complementary can improve the continuity of load power. An optimal configuration of wind solar hybrid power generation system is studied in this paper. Correlation between wind power and solar power is analyzed. Least squares method is used to calculate marginal probability density of wind speed. Mean and variance estimation method is employed to obtain...
The invalid pointer dereference vulnerabilities exist in binary software result from inadequate security check, and these vulnerabilities can be grouped by specific characteristics. In this paper, we have extracted three typical invalid pointer dereference vulnerability patterns from real-world vulnerabilities, and then we put forward a novel method to detect these vulnerabilities for binary software...
Visual perception is a key component of an autonomous vehicle system. Road detection is an essential function of a visual navigation system for an autonomous vehicle. Generally, detecting lane markings is a feasible and efficient approach to road detection. However, this method is not applicable for particular situations, e.g. rural roads without lane markings. Furthermore, lacking of sharp, smooth...
MIMO systems transmit signals by multiple antennas at the terminals, thus, to get spatial diversity gain and improve system capacity dramatically. Compared with single MIMO systems, the distributed MIMO system has higher coverage and larger capacity. MIMO systems using the joint coding technique through the full diversity of the space-time code can not only obtain the full diversity gain, but also...
Abnormal detection of electrical data has been widely used in the electric power industry. However, traditional abnormal detection algorithms mainly focus on the abnormal value in data of power consumption. Electrical data, which describes electricity consumption of different regions in different time, implies the tendency of the electricity consumption in different areas. By focusing on the change...
With the rapid development of communication technology, there is an urgent need for high quality speech coding algorithm at very low bit rate. In the paper, based on the Mixed Excitation Linear Prediction (MELP) and unequal error channel coding, a low bit rate speech coding algorithm is proposed. According to the different importance for each parameter, the relatively significant code stream information...
This paper compares the differences of man-machine interaction between digital and paper note-taking. We set two tests including questionnaire test and NASA-TLX test. We analyzed statistical data on the ratio, reasons of users who use digital or paper note-taking, and the comparisons for NASA-TLX workload weight of different ways of note-taking as well as 6 items of each way. By determining the optimal...
Fitts' law is an important law in human-computer interaction, but only gives the statistical relationship between distance and target size without taking into consideration the direction of the motion. An experiment related to the direction of Fitts' law was designed based on ActionScript3. Through the statistics and analysis of the data, we found that efficiency of finger motion is not only related...
To improve the energy efficient of n-Epidemic routing protocol in the opportunistic networks, where lack end to end forwarding path, a novel adjustments strategy of parameter n is proposed. Firstly, nodes dynamically update their energy level of current environment while moving around. Secondly, nodes with low energy level take the large n avoiding energy consumption during the messages exchange and...
Rough set theory provides a ternary classification method by approximating a set into positive, boundary and negative regions. A Bayesian Network classifier is a directed acyclic graph model that encodes a joint probability distribution over a set of random variables. In this paper, we propose a probabilistic rough set model, three-way decisions based Bayesian Network (3DBN), to integrate these two...
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