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Body weight support (BWS) system is increasingly used in conjunction with treadmills to assist the patients with neurological impairments. Owing to lower limbs of the patients unable to bear the whole weight during the rehabilitation training, some weight can be removed to help the patients recover the basic walking ability gradually. Therefore, considering the man-machine relationship and the effects...
Controlling rehabilitation training using patients' desired motion states is helpful to motivate their active participation, and further to improve training effect. Generally, motion states are recognized by applying EMG or biomechanics information, these methods have great limitations for the patients who lost important muscle groups or have weakened muscle functions. This paper proposed a method...
The condensed nearest neighbor algorithm(CNN) is susceptible to pattern read sequence, abnormal patterns and so on. To deal with the above problems, through the analysis of the relationship between the whole dataset and the individual patterns, a new prototype selection algorithm is proposed based on the extended near neighbor relationship and the affinity changes. First, the proposed algorithm can...
The development of internet and communication technology brings forth the advancement of virtual learning communities in which teachers can communicate with each other to make improvement in their curriculum knowledge, so how to manage the teachers' curriculum knowledge in virtual learning community becomes an important topic. This empirical study, based on a review of relevant documents, is intended...
With the explosive growth of medical information, the users not only query information efficiently and accurately, but also pay attention to the information of sensitivity and privacy. In medical domains, the current privacy preserving methods either use the technology of Access Control List, or need to prepare training documents for each privacy policy. However, it is a time-consuming and impractical...
Recently, single image super-resolution reconstruction via sparse representation has attracted increasing interest. In this paper, we propose a new method for image super-resolution using a local sparse model on image patches. We introduce a new dictionary training formulation, which enforces that the sparse representation of a low-resolution image patch can well reconstruct its underlying high-resolution...
In this paper, we present a novel dynamic scheme to estimate the execution time of stored procedures inside the Database Management Systems (DBMS). Our estimation model can provide users an accurate estimation of the execution time of stored procedures. The proposed estimation model adopts the basic idea of Radial Basis Function (RBF) network to accurately predict the execution time of the stored...
In order to improve the energy-saving efficiency, a novel heat load prediction method based on radial basis function neural network (RBF NN) and time series crossover is proposed according to the characteristics of heat supply process. The dimension of the input vector in the RBF NN model is established with autocorrelation method. Then the horizontal and vertical prediction models are constructed...
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