7results about How to "Achieve differentiation" patented technology

This utility model belongs to the technical field of neon light assembly equipment, specifically relating to a neon light assembly table with pre-packaged materials. It includes an assembly table body, with multiple synchronously moving and converging material boxes on the top of the body. Each material box has a sealing cover on its top that automatically opens when it approaches the end face of the assembly table body. The top of the assembly table body has multiple radially equidistantly arranged sliding grooves, with connecting rods connected to the bottom of the material boxes inside the grooves. A push plate is slidably mounted on the assembly table body, with limiting grooves on its outer wall corresponding to the connecting rods, and these limiting grooves are slidably connected to the connecting rods. A hydraulic cylinder connected to the push plate is located at the bottom of the assembly table body. This design enables automatic opening of the sealing cover, allowing workers to quickly retrieve materials without manual opening, further improving operational convenience and saving time.

This disclosure provides a video playback method, apparatus, and electronic device thereof, relating to the field of computer technology, and particularly to the fields of image processing and video generation technology. The specific implementation scheme is as follows: in response to receiving a dynamic effect interaction command for a video, the positional information of a target object within the video frame is determined, the target object including a face and / or a human body; dynamic effect information associated with the video is determined; dynamic effect rendering is performed based on the dynamic effect information and the positional information to obtain the target video frame; and the target video frame is played on the screen. This disclosure can increase the interactivity and flexibility of video playback, improve the two-way participation experience of video viewing and interaction, and enhance the visual effects and entertainment value of the video.

This invention relates to a multi-field-of-view coding method and system based on intermediate image plane polarization mask modulation, belonging to the field of space optics technology. It addresses the technical problems in existing technologies where feature aliasing and mutual interference easily occur when multi-field-of-view signals are superimposed, and where encoded features are easily distorted in the presence of optical errors or system deviations. The coding method includes the following steps: multi-field-of-view division; polarization coding parameter allocation; polarization modulation implementation; optical folding and signal superposition; and coding result output. The multi-field-of-view coding method and system based on intermediate image plane polarization mask modulation of this invention, by introducing polarization modulation in the imaging stage, maps multi-field-of-view spatial information to the polarization dimension, realizing an extension from traditional "scalar intensity coding" to "vector polarization coding."

This invention discloses an artificial intelligence-based method and system for controlling the amount of liquid fertilizer drip irrigation in agricultural planting. The method involves collecting multi-source datasets through a multimodal sensing network; fusing the multi-source datasets using a STAFN spatiotemporal attention fusion network to obtain a fused dataset; establishing a dual-channel demand prediction model, inputting the fused dataset into the model, and outputting prediction results; calculating the fertilizer concentrate mixing ratio based on the prediction results; adjusting the fertilizer absorption rate of the Venturi fertilizer applicator according to the fertilizer concentrate mixing ratio using a fuzzy PID control algorithm; dividing the planting area into several intelligent irrigation zones; and implementing differentiated fertilization for each zone using a pulse drip irrigation strategy. This method adapts to the differences in soil and crops in different regions, improving drip irrigation efficiency and accuracy.

This invention relates to the field of population spatiotemporal distribution modeling technology, and proposes a population model generation method based on crowdsourced data, comprising the following steps: Step 1, collecting socioeconomic and natural environment data to obtain standardized multi-source raster data; Step 2, based on the standardized data, constructing a daytime population weight layer by training a heterogeneous basic regression model with five-fold cross-validation and building an adaptive spatial weighted support vector regression meta-learner; Step 3, extracting building volume and nighttime light intensity raster layers from the standardized data to construct a nighttime population weight layer; Step 4, constructing a non-working day population weight layer by weighted fusion based on the day and night weight layers; Step 5, constructing basic spatial mapping units to complete high-scale downscaling reconstruction of population space, obtaining initial high-resolution population distribution results; Step 6, introducing a time smoothing model to correct the temporal inconsistency problem of the initial results, generating the final population distribution model. This invention effectively solves the problems of insufficient spatiotemporal resolution, poor time-segment adaptability, and unreasonable assignment of missing data areas in traditional population distribution models, providing accurate, comprehensive, and highly usable population distribution data support for scenarios such as urban planning, resource allocation, and emergency management.

This application discloses a test case generation system and method for recruitment platforms. The system includes a format conversion agent, a test point generation agent, a test case generation agent, and a historical regression test case recommendation agent. During system operation, test requirement data from the recruitment platform is acquired and preprocessed by the format conversion agent to output test requirement text. The test point generation agent performs multimodal parsing on the requirement text, constructing a three-dimensional feature vector containing business entities, interaction logic, and constraints. This feature vector is then combined with recruitment business prompts to complete scenario recognition and business rule injection, forming a scenario-based three-dimensional feature vector. Based on this vector, a set of test points for recruitment scenarios is generated. The test case generation agent matches corresponding generation strategies from a strategy library and generates recruitment platform test cases by combining the multi-dimensional feature vector. The historical regression test case recommendation agent retrieves matching regression test cases. This application improves the quality and efficiency of generating test cases for recruitment platforms.