33results about How to "Achieving Adaptive Optimization" patented technology

The invention discloses an air-conditioner expansion valve control method and device based on the superheat degree. The method includes the steps that air-conditioner refrigeration running is carried out, and the current indoor environment temperature, the current compressor exhaust gas temperature, the current air return superheat degree deviation and the current air return superheat degree deviation variable quantity are obtained; if the current air return superheat degree deviation and the current air return superheat degree deviation variable quantity meet the superheat degree conditions and the temperature conditions are met at the same time, the following valve regulating processes are executed; and the current air return superheat degree deviation is increased to be larger than zero to serve as an actual air return superheat degree deviation, the current air return superheat degree deviation variable quantity is increased to be larger than zero to serve as an actual air return superheat degree deviation variable quantity, and the opening degree of an expansion valve is adjusted according to the actual air return superheat degree deviation and the actual air return superheat degree deviation variable quantity. By means of the air-conditioner expansion valve control method and device, the adaptivity of the expansion valve adjustment along with temperature changes is achieved, the running performance of the system and the comfort of temperature adjustment during superheat degree valve regulation are improved.

The invention discloses a remote sensing image feature selection method based on the previous land thematic map, comprising the following steps: selecting a remote sensing image segmentation algorithm and an image feature set of the segmentation object, and setting corresponding segmentation parameters and feature extraction algorithms; The plot category divides the previous land thematic map into a corresponding number of layers, and extracts the influence intensity map and feature weight matrix to generate a feature weight distribution map; segment the remote sensing image to be analyzed, and extract the image features of the segmented object; select a An image classifier, and improve the weight setting of its classification features, construct a feature weighted classifier; set feature weights for the objects in the segmentation map according to the feature weight distribution map, and input its image features and weights into the feature weighted classifier , calculate the land category of the segmented object, and generate the land thematic map. The invention can realize the self-adaptive optimization and adjustment of the feature weight of the local region of the remote sensing image, and can improve the analysis precision of the remote sensing image.

The invention discloses a multi-dimensional dynamic interweaving device for multi-antenna scattering communication, which belongs to the technical field of wireless communication and scattering communication. The present invention performs adaptive coding modulation, interleaving, space mapping, frequency conversion, and amplification at the sending end to realize the conversion from baseband channel to analog signal; The proportional relationship and distribution relationship between the channel quality and SNR of each channel can be obtained; then the dynamic interleaving rule planner can be used to obtain the interleaving / deinterleaving matrix, and finally the optimization of the interleaving and deinterleaving rules can be realized, which can increase the bit error rate by 2 order of magnitude to achieve a good transmission effect. The invention can be used for high-speed information transmission under the fading channel beyond the line of sight, and is especially suitable for a multi-antenna scattering communication system with multiple transmission and multiple reception.