Abstract: An apparatus for non-invasive brain intervention with radio frequency microwaves includes a light emitting diode (LED) display screen configured to select a to-be-generated initial waveform and set time; a microcontroller unit configured to generate the initial waveform; a chip configured to generate and send an intervention signal according to the initial waveform, processed human bioconductance data, and temperature data; an adjustable power amplifier, where one end of the adjustable power amplifier is connected to the other end of the chip, and the adjustable power amplifier is configured to receive the intervention signal and amplify the intervention signal; and a thin-film lens microstrip line, where the thin-film lens microstrip line is connected to the other end of the adjustable power amplifier and configured to radiate the amplified intervention signal to a human brain, to complete one intervention stimulation on the human brain.

Abstract: A parallel computing system is provided, including input ports, a first switching network, a computing array, a second switching network and output ports. The first switching network is receiving input data from the input ports, sequencing the input data according to different computing modes of the computing array and outputting sequenced input data; the computing array is performing parallel computation on the sequenced input data and outputting intermediate data; and the second switching network is sequencing the intermediate data according to different output modes and outputting sequenced intermediate data through the output ports. The present disclosure applies the switching networks to the parallel computing system and performs any required sequencing on the input or output data according to the different computing modes and output modes to complete various arithmetic operations through the computing array after the input data are input into the computing array.

Abstract: A parallel computing system is provided, including input ports, a first switching network, a computing array, a second switching network and output ports. The first switching network is receiving input data from the input ports, sequencing the input data according to different computing modes of the computing array and outputting sequenced input data; the computing array is performing parallel computation on the sequenced input data and outputting intermediate data; and the second switching network is sequencing the intermediate data according to different output modes and outputting sequenced intermediate data through the output ports. The present disclosure applies the switching networks to the parallel computing system and performs any required sequencing on the input or output data according to the different computing modes and output modes to complete various arithmetic operations through the computing array after the input data are input into the computing array.

Abstract: A parallel synchronous scaling engine for multi-view 3D display and a method thereof are provided, wherein selection and combination calculation are provided to an interpolation pixel window, then interpolation calculation is provided to a combined interpolation pixel window of a combined view field, calculation results are directly displayed on a display terminal. That is to say, interpolation is originally provided before stereoscopic pixel rearrangement, which is now improved, in such a manner that screening and combination of pixel points is provided before interpolation calculation. According to the present invention, computation and memory resource is greatly saved. The method is suitable to be implemented by hardware, for satisfying various numbers of viewpoints and interpolation algorithm, and being compatible with multi-view 3D display with the integrated and floating-point pixel arrangement, wherein the computation resource does not need to be increased with increasing of the viewpoints.