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Combined with popular Internet of things and virtual reality technology, this paper has developed a set of intelligent agriculture, intelligent home in one of the intelligent manor sand table demo system. System test shows that the system can effectively simulate a number of intelligent agriculture, intelligent home in the practical scene. In the intelligent agricultural system part of the use of...
A new compressive sensing inversion framework is developed via exploiting the sparsity of local overlapping patches, with the lensless compressive imaging as an exemplar application. This novel framework is formulated to an iteratively two-step process, with the first step projecting the measurements to the data level and the second step aiming to denoise the results obtained in the first step. Under...
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The design of the crane anti-collision alarming system based on electric field measurement is introduced in this paper. The crane anti-collision alarming system consists of many electric field acquisition devices and an alarm device. The electric field acquisition devices are responsible for collecting the electric field value of each point. The alarming device can receive all the signals sent by...
Multi-view images are acquired by a lensless compressive imaging architecture, which consists of an aperture assembly and multiple sensors. The aperture assembly consists of a two dimensional array of aperture elements whose transmittance can be individually controlled to implement a compressive sensing matrix. For each transmittance pattern of the aperture assembly, each of the sensors takes a measurement...
In order to improve the real time prediction precision of sensor output time series, the predictable inner mechanism of time series is analyzed, and a method using wavelet filtering and neural network is proposed. Sensor output time series are first handled with wavelet filtering, and then predicted by neural network method. The proposed method can eliminate effect of measurement noise on prediction...
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