37results about How to "Reflect the importance" patented technology

The invention relates to a video description method and system based on an information loss function, and the method comprises the steps: obtaining a training video, and obtaining the semantic information of each frame of a set training video; Inputting the semantic information of the training video into an LSTM-combined hierarchical attention mechanism model to obtain character description of thetraining video; According to the importance of each word in the character description to the expression video content, performing loss weighting on the words to obtain an information loss function, and taking the information loss function as an objective function to perform back-propagation gradient optimization on the hierarchical attention mechanism model to obtain a video description model; Obtaining a to-be-described video, respectively inputting the to-be-described video into the target detection network, the convolutional neural network and the action recognition network to obtain a setof target features, overall features and motion features of each frame of the to-be-described video as semantic information of the to-be-described video, and inputting the semantic information into the video description model to obtain character description of the to-be-described video.

Accurate assessment of aircraft fuel consumption is an important means for reducing flight cost and controlling fuel emission of airlines. The invention provides an aircraft departure fuel consumptionassessment method based on flight data analysis. On the basis of the actual flight data of QAR, a function relationship between pneumatic parameters in a fuel consumption model in an off-site climbing stage is fitted, side wind is modeled and added into a fuel consumption evaluation model, and an improved kinematics model of an off-site continuous climbing operation mode is established. Through the method, the problem that aerodynamic parameters in a traditional fuel consumption model need to look up a static chart relation obtained by a wind tunnel test , extra fuel consumption caused by aircraft performance attenuation cannot be estimated, and the calculation result is inaccurate due to the fact that the influence of crosswind on fuel consumption is not involved are solved; and accuratecontrol over the fuel loading amount is achieved, the phenomenon of fuel burning caused by too much fuel filling amount before flight is avoided, and therefore the fuel cost is reduced.

The invention relates to the field of position prediction and recommendation, in particular to a user space-time similarity measuring method in interest point prediction and recommendation. The user space-time similarity measuring method in interest point prediction and recommendation includes the steps of preprocessing data; measuring space-time cooccurrence mode similarity; measuring user space-time similarity. The invention provides the user space-time similarity measuring method, the space-time cooccurrence mode and similarity thereof are defined through check-in time close degree and interest point position close degree, then the user space-time cooccurrence mode and similarity thereof are defined, user space-time similarity among users is defined based on the weight of interest point check-in frequency through the most similar space-time cooccurrence mode and similarity thereof, and the user space-time similarity measuring method is provided for a user-based collaborative filtering method in interest point prediction and recommendation.

The invention discloses a groundwater environment quality evaluation method. An improved formula and further improved formulas have the same definite physical significance, namely when each single index is equal to 1, Pj=1; when each single index is equal to 2, Pj=2; a characteristic that each single index is synchronous with a comprehensive index is achieved. Moreover, the groundwater environment quality evaluation method has the advantages of simple form and convenience for calculation.

The invention discloses a data query method and device and a readable medium. The method comprises the following steps: carrying out word segmentation on a search string submitted by a user; aiming ateach keyword obtained after word segmentation, determining a word feature value of the keyword, a first association feature value used for representing a relationship between the keyword and the search string, a second association feature value used for representing a relationship between the keyword and an adjacent word of the keyword in the search string, a word feature value of an adjacent word of the keyword in the search string and a feature value of the search string; Respectively determining the weight of each keyword in the search string according to the word characteristic value of each keyword, the first association characteristic value, the second association characteristic value, the word characteristic value of the adjacent word and the characteristic value of the search string; And based on the weight of each keyword in the search string, determining a query keyword and performing query to obtain a query result of the search string, so that the weight of the obtained keyword can better conform to the actual importance degree of the keyword in the search string.

The invention provides a distributed manufacturing scheduling method for fixed-point output. The data field model is adopted to measure a task structure and an equipment distribution state, the task structure measurement reflects the influence of a subsequent process on an alternative process, and the equipment distribution state measurement reflects the local influence of equipment in an equipment network; By adopting a reverse scheduling method, starting from termination equipment and termination working procedures, equipment is reversely distributed for the working procedures, so that fixed-point output constraint of the task is guaranteed; Quantitative measurement of the established alternative processes and alternative devices can provide a basis for task scheduling, the scheduling process is simplified, and optimization of two aspects of tasks and device structures is considered.

The embodiment of the invention provides a safe driving index weight determination method and a device, and electronic equipment. The method comprises the steps that based on scores of a plurality ofdrivers on a plurality of safe driving indexes, calculating entropy values of the plurality of safe driving indexes respectively, and the entropy value of each safe driving index is used for representing the dispersion degree of the scores of the plurality of drivers on the safe driving indexes; and determining a comprehensive weight of the safe driving index based on the entropy of each safe driving index in the plurality of safe driving indexes, the comprehensive weight of each safe driving index being negatively correlated with the entropy of the safe driving index. The entropy value is obtained by counting the dispersion degree of scores of a plurality of drivers on a safe driving index; the information carried by the safe driving index and the relative advantages and disadvantages ofa plurality of drivers on the safe driving index can be quantitatively expressed, so that the comprehensive weight can objectively and accurately reflect the actual importance degree of the safe driving index.

The invention relates to a flow network key node identification method and device based on multi-attribute information fusion. The method comprises the following steps: constructing a node flow network according to a to-be-identified event; obtaining a maximum flow counting index, a minimum cut counting index and a maximum flow centrality index of each node in the node flow network; constructing an identification framework of node importance in the node flow network; respectively calculating basic probability assignment functions corresponding to the maximum flow counting index, the minimum cut counting index and the maximum flow centrality index in the identification framework; fusing the basic probability assignment functions corresponding to the maximum flow counting index, the minimumcut counting index and the maximum flow centrality index to obtain importance indexes of the nodes; and sorting the nodes in the node flow network according to the importance indexes, and determiningkey nodes in the node flow network according to a sorting result. By adopting the method, the accuracy of key node identification can be improved.

The invention discloses a coronal mass ejection space environment event similar recommendation method and system. The method comprises the following steps: collecting CPA, MPA, coronal mass ejection angular width, linear velocity, initial velocity, final velocity, velocities at 20 solar radiuses, latitude and longitude coordinates of a coronal mass ejection source area, an F10.7 index of a coronal mass ejection burst day, and average solar wind velocity, temperature, proton density and dynamic pressure and a plasma beta value and magnetic field components in three directions in a set time period; performing preprocessing to obtain characteristic parameter values of 18 coronal mass ejection events; inputting a pre-established and trained CME recommendation model to obtain historical similar CME events and predicted arrival time; employing the CME recommendation model for carrying out weighting processing on the characteristic parameter values according to the weight of each characteristic parameter, then carrying out distance matching with historical events of a pre-established CME historical database, and finding the nearest historical event.

The invention provides a method and a device for mining key pages of a website. The method includes: extracting a navigation link list from each page of the website, splitting each extracted navigation link list into link pairs, wherein each link pair is composed of two links at adjacent positions in the navigation link list; determining key link pairs from all the link pairs, and taking the pages corresponding to the key link pairs as the key pages in the website. By the means, recall rate and accuracy rate when the key pages of the website are mined can be increased.

The invention relates to an SSD storage data error processing method and device, equipment and a storage medium, and the method comprises the steps: obtaining error information of SSD NAND flash to complete error collection; performing data management and scheduling on the collected errors to obtain a management scheduling command; and processing the SSD storage data according to the management scheduling command. According to the method, the business layer and user layer characteristics of the data can be associated, the data importance and the system influence can be better reflected, and risk control and preprocessing can be carried out on the associated data as soon as possible, so that the loss or damage to core data can be better avoided, the scheduling with the main process of the storage equipment is well coordinated, and the scheduling efficiency is improved. And error data processing management is completed orderly.

The invention provides a spaceborne message scheduling method and device of a space-based data link, and belongs to the field of space-based data links. The method comprises that spaceborne messages of the space-based data link are received, and arranged in different queues according to the application priority of the messages; the extraction sequence and to-be-distributed resource corresponding to the messages are determined according to service types of the received messages; according to the determined extraction sequence, messages with the same service type are extracted from each queue; and according to the determined to-be-distributed resource, the extracted messages are scheduled. Different types of the messages in the queue are processed in a balanced way, the channel utilization rate is improved, the fairness among the queues is improved, and the total service capability of the network is improved.

The invention discloses a geofence grading method, a vehicle scheduling method and a server. The geo-fence grading method comprises the following steps: acquiring information of a geo-fence network, wherein the information of the geo-fence network comprises distances between different geo-fences in the geo-fence network; obtaining vehicle riding order data of the geo-fence network, wherein the vehicle riding order data comprises a source geo-fence and a target geo-fence corresponding to a vehicle riding order; and according to the vehicle riding order data and the information of the geo-fence network, determining a grade value of a geo-fence in the geo-fence network. According to the grading method, connectivity between geo-fences and geographic factors are introduced into the grading process of the geo-fences, so that the grading result can more accurately reflect the importance of the geo-fences in shared vehicle service.

The invention relates to a method for a nonlinear fuzzy matter element assessment of a carrier-based aircraft launching scheme. The method includes steps: firstly, establishing an assessment index system of the carrier-based aircraft launching scheme, determining assessment index weights of the carrier-based aircraft launching scheme based on an entropy method, calculating a fuzzy combined matterelement, obtaining the weights of a major assessment index and a minor assessment index, obtaining a fuzzy concentrated matter element of the launching scheme through resolution, obtaining a nonlinearassessment value, analyzing an assessment result of the nonlinear fuzzy matter element, and finally realizing nonlinear fuzzy matter element assessment of the carrier-based aircraft launching scheme.For a significant influence of a certain index of the carrier-based aircraft launching scheme, the defect of a conventional linear weighting method is avoided, the index weights are distinguished, primary indexes and secondary indexes are assessed by employing the nonlinear fuzzy matter element method, and the problem of difficult processing of the significant influence of the conventional linearassessment method on the certain index is solved. According to the method, the reliability and the validity of the assessment scheme are verified through a simulation experiment.