12results about How to "Reduce filter range" patented technology

The invention discloses a self-adaptive construction method of a database index. The method comprises the following steps: S1, extracting a query information set based on a database log; s2, obtaining a high-frequency query statement based on TF through the information set; s3, obtaining importance values of all fields in the high-frequency query statement; s4, constructing a database index according to the importance value of the field; and S5, periodically obtaining the importance value of the database log constructed in the step S4, and dynamically adjusting the database index so as to improve the query efficiency and adaptability of the database system.

The invention discloses an industrial park groundwater pollutant screening and identification method, which comprises the following steps: firstly, scoring the source strength, toxicity and path of pollutants through a comprehensive scoring method, and carrying out preliminary screening according to the scoring result to determine preliminarily concerned pollutants, thereby being beneficial to narrowing the screening range and reducing unnecessary evaluation work; the evaluation efficiency is improved. Meanwhile, the ITD index model constructed based on the three dimensions of source intensity, toxicity and path can more comprehensively consider the potential risk of the pollutants, and a scientific basis is provided for an evaluation result. The toxicity test result is introduced, so that the evaluation result is more accurate, and experimental data support is provided for the evaluation result. The method can provide scientific basis and technical support for underground water pollution prevention and control in industrial parks. According to the comprehensive evaluation result, corresponding risk prevention and control measures are provided for the optimal control pollutants in the list, the underground water pollution risk of the industrial park is reduced, and the environment and human health are protected.

The invention discloses a PCB quality detection system and method based on machine vision, and belongs to the technical field of PCB quality detection. The system comprises a production analysis module, an acquisition module and a quality inspection module; the production analysis module is used for analyzing the production process of the PCB and establishing a corresponding pollution library and a problem library according to an analysis result; the acquisition module is used for performing image acquisition on the PCBs to obtain target acquisition images corresponding to the PCBs; the quality inspection module is used for carrying out quality inspection on the PCB according to the target acquisition image, obtaining the target acquisition image, and carrying out positioning adjustment on the target acquisition image according to a preset positioning point to obtain a PCB grey-scale map; carrying out positioning comparison on a preset detection check image and the PCB grey-scale image to obtain a corresponding grey-scale difference surface; judging whether the PCB is detected to be abnormal or not according to the gray difference surface; and determining a PCB quality detection result according to the abnormal detection result.

The invention provides a drug use information recommendation method and related products. According to a specific embodiment of the drug use information recommendation method, a candidate drug identifier set is preliminarily selected from specified selectable drugs (namely, a preset drug identifier set) according to the effective rate of each drug in historical drugs of different genotypes and a gene detection result of a patient, and the screening range is narrowed; and further determining the drug effective rate of the corresponding candidate drug identifier for the target patient by using the drug effective rate prediction model of each candidate drug identifier, and finally determining the to-be-recommended drug identifier. As for each preset drug identifier, the drug effective rate prediction model is pre-trained by using the gene detection result of the clinical patient using the drug indicated by the preset drug identifier and the corresponding drug use effect label, and compared with a statistical analysis conclusion based on a small number of cases, the drug effective rate prediction model has the advantages that the prediction accuracy is improved; the reliability and robustness are high, and the reliability of drug use information recommendation can be finally improved.

The invention discloses a track drawing method and device based on a fixed path and a storage medium, and belongs to the technical field of satellite navigation. The method comprises the following steps: splitting a total path to obtain a plurality of sub-paths; screening from the track point set of the target object to obtain target track points in a sub-path preset range; and according to the target track point corresponding to each sub-path, drawing a motion track of the target object on each sub-path on a preset canvas to obtain a motion track of the target object on the total path. According to the method, the total path is split, the track points in the preset range of the sub-paths are screened, and projection calibration is performed on the track points, so that data highly related to the current sub-path are more concerned in the drawing process, the track drawn on the canvas can better reflect the actual movement condition of the target object on each sub-path, and the drawing efficiency is improved. And the track drawing process does not depend on an online map, so that the influence of a network on track drawing is reduced, and the track drawing accuracy is improved.

The invention provides a prompt template determination method and device, electronic equipment and a storage medium. The method comprises the steps that multiple pieces of question and answer data are acquired; modifying a pre-constructed prompt template for a predetermined number of times to obtain a predetermined number of modified prompt templates; based on the multiple pieces of question and answer data, screening out multiple target prompt templates from the preset number of modification prompt templates; grouping the plurality of target prompt templates to obtain a plurality of groups of target prompt templates, and in response to determining that a random value corresponding to the group of target prompt templates is greater than a preset random value, performing cross exchange on prompt statements in the group of target prompt templates; based on the multiple pieces of question and answer data, a final prompt template is screened out from the multiple target prompt templates which are subjected to cross exchange, the technical problem that in the prior art, prompt of the prompt templates is not accurate is solved, and the accuracy of outputting answers is improved.

The present disclosure provides a target collection task matching method and device, electronic device, and storage medium, and relates to the field of data processing technology. The target collection task matching method includes: obtaining a collection task; determining the logistics transportation label data corresponding to the characteristic information by extracting the characteristic information of the outbound order information, and screening the initial collection task that matches the logistics transportation label data from the collection task; matching the target collection task corresponding to the target outbound order information and the target to-be-collected order information from the initial collection task; determining the current location information of the to-be-collected items corresponding to the target collection task, and sending the current location information to the collection terminal device, so as to collect the to-be-collected items according to the current location information displayed by the collection terminal device. The technical solution of the embodiment of the present disclosure can avoid manual verification of order information, improve the efficiency of generating target collection tasks, and improve the collection accuracy of the to-be-collected items.

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 embodiment of the invention provides a network service quality evaluation method and device, equipment and a readable storage medium. The method comprises the following steps: acquiring abnormal traffic data and target light splitting data; performing calculation processing according to the target light splitting data and the abnormal flow data, and determining a first network service operator set and first evaluation data of each network service operator in the set; determining a second network service operator set and second evaluation data of each network service operator in the second network service operator set according to abnormal information in the abnormal information set; and determining target evaluation data of each network service operator in the first network service operator set and the second network service operator set according to the evaluation weight data, and determining the network service operator with the maximum target evaluation data as an abnormal network service operator. According to the embodiment of the invention, the abnormal network service operator can be quickly and accurately determined in combination with multiple methods, and the efficiency of network service quality evaluation can be improved.

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.