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Precise traffic lane boundary identification is the precondition for a good performance of the side-looking traffic flow detection radar. Some approaches have been proposed and developed for this specific purpose. However, these methods either require onerous measurements and prior knowledge, or large amounts of statistics and a long learning duration which(More)
It is difficult to realize adaptive control for some complex nonlinear processes which are operated in different environments and when operation conditions are changed frequently. In this paper we propose an identifier-based adaptive control (or indirect adaptive control). The identifier uses two effective tools: multiple models and neural networks. A(More)
Images resolution plays an important role during face recognition. Low-resolution face images will reduce drastically the performance of face recognition algorithms. In this paper, we propose a novel approach for low-resolution face recognition. Our method first exacts patches with different size from the face images. Each patch is represented by its LBP(More)
The performance of traditional classifier skews towards the majority class for imbalanced data, resulting in high misclassification rate for minority samples. To solve this problem, a combination classification algorithm based on outlier detection and C4.5 is presented. The basic idea of the algorithm is to make the data distribution balance by grouping the(More)
In this paper, we use modular design method to construct a 4-DoF (Degrees Of Freedom) upper limb exoskeleton. The structure is very simple, and is easy to be modified. Articulation of the exoskeleton is achieved four revolute joints: three for the shoulder and one for the elbow. Static and dynamic models of this exoskeleton are proposed. Experiments and(More)
In this paper, we use a deep learning method, restricted Boltzmann machine, for nonlinear system identification. The neural model has deep architecture and is generated by a random search method. The initial weights of this deep neural model are obtained from the restricted Boltzmann machines. To identify nonlinear systems, we propose special unsupervised(More)
In this paper, the lower limb exoskeleton uses a harmonic drive actuator and two pneumatic artificial muscles (PAMs). This hybrid actuation takes both advantages of harmonic drive and PAM. It provide high accuracy position control and compliant behavior. The disadvantages of each type of actuator are overcome. This exoskeleton is suitable for the strength(More)