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To appropriately assist mobile robot teleoperation within a shared autonomy system for remote task executions, this paper reports a novel approach to recognize the contextual task the human operator performs, by employing Sparse Online Gaussian Process to learn and classify human motion patterns executing various task types from demonstrations, due to its superior introspective capability over other...
The microblog systems are becoming more and more popular in recent years, including twitter and sina weibo, etc. Users are not only used to release the latest news, but also willing to search interesting topics in the system. However, two main issues make real-time search over a microblog system challenging. First, the volume of data in a system is quite huge. Second, the users are eager to get the...
Over 50 million people worldwide suffer from epilepsy. Recently, researchers have proposed computer-aided epilepsy diagnostic systems based on classifying scalp epileptic interictal and normal EEG. Features used in the classification can be divided into two groups: classical spectral features and dynamic features. Classical spectral features are similar to major frequency component identification...
Over 50 million people worldwide suffer from epilepsy. Traditional diagnosis of epilepsy relies on tedious visual screening by highly trained clinicians from lengthy EEG recording that contains the presence of seizure (ictal) activities. Nowadays, there are many automatic systems that can recognize seizure-related EEG signals to help the diagnosis. However, it is very costly and inconvenient to obtain...
Turbopump is a high-fault-rate component in Liquid Rocket Engine (LRE). In this paper, the reasons of the typical fault of turbopump rotor blade abruption and abscission are analyzed. And, by the method of dynamic analysis, the vibration features of the fault are studied to select the frequency features diagnosing effectively the fault. Then, the extraction method of the features is researched. By...
An approach of multiple facula targets recognition based on particular distribution is presented. Firstly, a sort of particular distributions is proposed. Secondly, every target's edge and region pixels are searched and recorded after morphology open operation and adaptive thresholding. And then a feature vector is established, in order to segment facula targets from other disturbing regions. Finally,...
In the present paper, the wavelet neural network (WNN) is adopted to fit the calibration curve during the quantitative assay of the gold immuno-chomatographic (GIC) strip of the serum marker-HCG (human chorionic gonadotrophin). Based on the wavelet transform theory, the structure and arithmetic of WNN are introduced. Considering how to improve the ability of extracting the signal feature of the network,...
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