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Parkinson's disease (PD) patients often suffer from the freezing of gait (FOG) problem, which interferes their daily life. In this paper, we develop an algorithm which uses fast time-frequency analysis methods and onset detection to detect FOG in real time. Simulations show that the specificity, the sensitivity, and the accuracy of the proposed algorithm is 81.83%, 82.66%, and 82.83%, respectively,...
Since the time-frequency distribution can analyze how the instantaneous frequency of a signal varies with time, it is very effective for signal processing. However, due to that the time-frequency distribution has a two-dimensional output, it has a higher complexity and requires more computation time. In this paper, we find that if the window of the short-time Fourier transforms (STFTs) has some specific...
Battlefield situational information discovery is a key part of information distribution, based on ontology model theory, this paper describes the information service concepts and relationships among them, then get battlefield situational information description in semantic level, then modify the feature weight calculation in TFIDF formula to improve the accuracy of service matching, filter out irrelevant...
With network performance being highly dependent on the actual traffic, studies have shown that traffic is self-similar and long-range correlation in Network on Chip (NoC). The self-similarity of NoC traffic depends not only on the input sequence, but also changes with the processor algorithm on chip. In this paper, we improved firstly the existing method for generating sample traces of self-similar...
We know the ¡§signed-digit recoding algorithm¡¨ has less occurrence probability of the nonzero digit than original binary number representation. The goal of study time-efficient and space-efficient algorithms for modular arithmetic comes from the applications in modern cryptography, such as RSA cryptography and El-Gamal cryptography. Taking the RSA cryptography for example, the public and private...
Designing Quantitative Structure-Activity Relationship (QSAR) models has been a recurrent research interest for biologists and computer scientists. An example is to predict the toxicity of chemical compounds using their structural properties as features represented by graphs. A popular method to classify these graphs is to exploit classifiers such as support vector machines (SVMs) and graph kernels...
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