In the Xiangxi region of western Hunan province, China, 335 taxa belonging to 87 families and 119 genera are utilised as wild vegetables. In order to take advantage of this naturally occurring resource we examined the horticultural and the associated socio-economic aspects of these taxa. Wild vegetables, as the mainstay of human diet and Chinese traditional medicines, have played an important role in the daily life and income of local ethnic groups for centuries. We examine candidate species for their prevalence and their potential to offer returns, for example in cereal production and tourism, and indicate horticultural management and processing technologies which may exploit wild vegetable availability.
In this study, an adaptive Neural Network (NN) based backstepping controller is proposed to realize chaos synchronization of two gap junction coupled FitzHugh-Nagumo (FHN) neurons with uncertain time delays. In the designed backstepping controller, a simple Radial Basis Function (RBF) NN is used to approximate the uncertain nonlinear part of the error dynamical system. The weights of the NN are tuned on-line. A Lyapunov-Krasovskii function is designed to overcome the difficulties from the unknown time delays. Moreover, to relax the requirement for boundness of disturbance, an adaptive law to adapt the disturbance in real time is given. According to the Lyapunov stability theory, the stability of the closed error system is guaranteed. The control scheme is robust to the uncertainties such as approximate error, ionic channel noise and external disturbances. Chaos synchronization is obtained by proper choice of the control parameters. The simulation results demonstrate the effectiveness of the proposed control method.
Abstract. Medical experiments using white LED had been done to explain influence on visual function and Electroretinography (ERG) test results have been obtained under different illumination. From the experiments, different character of ERG was changed under different illumination. Compared with the control group, by the 300lux illumination, one of characters of ERG was showing the different trend. By the 1000lux illumination, some characters of ERG was showing distinguished difference. So 300lux illumination can be determined as the safety threshold wavelength of white LED light source initially. Experimental Study of the Retinal Security by LED light will provide theoretical basis to indoors application of LED light.
The vision-based hand gesture is an important problem in the field of humancomputer interaction since hand motion and gesture could potentially interact with computers in more natural ways. This paper is focused on control of mobile service robot based on visionbased hand gesture recognition. The database of five hand gesture commands is created and the cross-correlation find the similarity between the captured hand image. This approach contains image pre-processing, segmentation of the region, feature extraction, classification using crosscorrelation and gesture recognition. In this method, the user can control the robot by using the gesture of the hand, thereby interacting with the robot system. The commands are generated according to the hand gesture for controlling the robot direction. Experimental results show that this method can get a high recognition rate of hand gesture.
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