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Stereo-electroencephalographic (SEEG) depth electrodes were used to record neural activity from deep brain structures in this study. By localizing all the electrodes into the individual brain, we found that areas that are inside of central sulcus occurred obvious hand-movement-related modulation when the subjects were performing different hand motion tasks. Then, an asynchronous brain-computer interface...
Flapping flight observed in bats offers a promising model for bio-inspiration of small air vehicles because of their high maneuverability, load carrying capacity, and energy efficiency. However, the flight mechanics of bats is very complex due to the highly articulated wing skeleton and the anisotropic, internally-actuated wing membrane. As a result of these complexities, the shape of bat wings can...
Traditional feature selection methods cannot achieve good performance on imbalanced data sets. A new feature selection method for imbalanced data sets is presented according to the characteristics of radio signals of ground-air communication. Firstly, many sample subsets are randomly selected from the sample set of the major class using Bagging algorithm, the sample size of each selected sample subset...
There are a variety of remote sensing products of Antarctica that cover different time periods and published by different research groups. The resolution and accuracy for these products are quite different due to original data sources, extraction methods, etc. The aim of this research is to assess the quality and investigate changes that can be detected in three main categories of Antarctic remote...
For an intelligent transportation system (ITS), traffic incident detection is one of the most important issues. In this paper, we propose a novel traffic incident detection method based on trajectory quantification and Hidden Markov Model (HMM) classifier. First, object detection algorithm that combines geodesic active contour model based on level set theory and background subtraction was proposed...
Summary form only given. In this paper, we propose an optimized in painting-based macro block(MB) prediction mode (IP-mode) in the state-of-the-art H.264/AVC video compression engine, and belief propagation (BP) is applied to achieve the global spatio-temporal consistency between the predicted content and the co-located known region. To decrease the computing complexity of the iterative BP algorithm,...
Traffic management is a serious issue in the intelligent transportation systems (ITS). One of the most significant current discussions is traffic incident detection. We have developed an algorithm, referred to vehicle detection based on level set theory and background subtraction, accurate contour of moving object is obtained. The Kalman filtering is applied to predict the possible trajectories of...
In this paper, combination of wavelet packet decomposition (WPD) and neural networks (NN) was used to identification the experimental cutting torque data of drilling operations previously. It consists of three steps: firstly, decomposition cutting torque from the original signals by WPD; secondly, extracting wavelet coefficients of different wear states (i.e., slight, normal, or severe wear) with...
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