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Software defined radio (SDR) plays an important role in military and commerce because of its inherent flexibility. It also has great potential in home use, and it can be controlled by software installed on a personal computer or embedded system to achieve different purposes. In this paper, a novel method of dynamic gesture recognition based on support vector machine (SVM) and SDR is proposed. It is...
Wi-Fi signals have been typically acting as information carriers in modern communication system, but recent research has revealed their powerful capability in detecting and identifying various targets. With Wi-Fi, we can now "see" people's location, activity, and even hand gestures. In this paper, a new method of dynamic gesture recognition using Wi-Fi based on signal processing and machine...
Accurately grasp the dynamics of soil moisture enable one to react accordingly to the crop water demand to a certain extent, hence forecasting soil moisture is very important in scheduling of irrigation and allocating water in irrigation area rationally and efficiently. Soil moisture is affected not only by previous time sequence of soil moisture, but also by weather factors. In this paper, a novel...
In view of the complex time-varing signal pattern recognition, the method of water flooded layer recognition based on wavelet packet transform and support vector machine had been proposed in this paper. According to the multi-resolution characteristics of wavelet packet analysis, the denoising for signals and the extraction of useful signals had been presented. The sample space had been mapped into...
An accurate demand forecasting model has academic and practical significance to supply chain management for China's retail industry. In this paper, a novel demand forecasting model named WFSSVM (Wrapper Feature Selection optimized SVM) is proposed. Genetic algorithm based wrapper feature selection method is firstly employed to analyze the sales data of a kind product (including various kinds of brand)...
Neural networks ensemble is a promising tool in the field of structure-activity relationship (SAR). Based on support vector machine (SVM), a new method called RRSE (rough reducts based SVM ensemble) is employed to discriminate between high and low activities of ethofenprox analogous based on the molecular descriptors. By using RRSE, individual SVMs of ensemble model are constructed by projection of...
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