4results about How to "Reduce filter range" patented technology

This invention discloses a web crawler detection system based on application scenarios, including a crawler detection platform. The crawler detection platform comprises a user analysis unit, a human-machine recognition unit, a secondary verification unit, a space development unit, and a reality integration unit. This invention relates to the field of web crawler detection technology. This application scenario-based web crawler detection system divides the enterprise network into different application scenarios according to their uses. Based on these application scenarios, it performs triple malicious crawler identification, achieving a more comprehensive screening of malicious crawlers. Simultaneously, it provides registered users with personal spaces, offering convenience and effectively avoiding false positives on genuine users, thus improving user experience. Furthermore, by combining network information related to the application scenarios to manage personal spaces, it greatly enhances the flexibility of malicious crawler detection while effectively locating abnormal parts of the enterprise network, providing powerful assistance for the operation and management of the enterprise network.

The invention discloses an osteosarcoma detection method and system based on multi-target collaborative recognition, and relates to the technical field of target recognition. The method comprises the following steps: firstly, acquiring multi-modal target point data of a target image area, performing feature coding processing to obtain a multi-target point feature vector, performing adaptability verification in a multi-target point combination process, and then performing abnormal coding vector identification on a gene target point vector in a corresponding target point combination after the adaptability verification is qualified, so as to obtain a multi-target point feature vector. And finally, carrying out gene target specific binding detection and non-linear monitoring on a detection signal amplification and response process to judge whether a detection result is output, so as to realize the purpose that in the multi-target identification process, the detection result is accurately detected, and the detection accuracy is improved. Through accurate cooperative processing of serum, image and gene cross-modal data, an effective data support is provided for accurate recognition of osteosarcoma mutation sites and an osteosarcoma detection process.

The application discloses a method for screening complex disease drugs based on whole genome association signals, and comprises the following steps: screening and processing complex disease cells through a DESE algorithm based on whole genome association signals, so as to obtain a cell line of the complex disease; inducing and analyzing the cell line of the complex disease through drug blank control, so as to obtain a specific perturbation spectrum of the drug on the gene; and performing cyclic prediction analysis and calculation on the specific perturbation spectrum of the drug on the gene in combination with conditional data, so as to obtain a complex disease susceptible gene drug. Through the application, the screening range of complex disease candidate drugs can be reduced by predicting the drug for specifically perturbing multiple disease susceptible genes. The application can be widely applied to the technical field of high-throughput drug screening.

The application provides a natural resource area monitoring method and system, relates to the technical field of natural resource monitoring, and generates a spectral feature layer through multi-source remote sensing data covering a monitoring area, synchronously obtains ground surface monitoring device ground surface polarization information and generates a polarization feature map to distinguish natural object and artificial object reflection characteristics; the spectral features of the natural object state change in the spectral feature layer, the key areas of the artificial object reflection characteristics in the polarization feature map are fused, and potential illegal graph patches are located; according to the continuously obtained spectral feature layer and polarization feature map, the spectral feature conversion and artificial object key area expansion are combined to determine whether the potential illegal graph patch continuously changes. After the continuous change is determined, a target illegal graph patch and geographic space information are generated; the associated digital orthographic image and graph patch boundary are fitted to a monitoring video screen, and accurate positioning of the natural resource area illegal graph patch and dynamic identification of the target activity can be realized.