22 results about "Activity list" patented technology

The invention discloses an EPC project resource dynamic scheduling method based on multi-objective optimization, and the method comprises the steps: extracting project starting time and activity attributes from an EPC project, constructing a project activity list and a project resource list, constructing a multi-objective function, a decision variable and a constraint condition, and carrying out the dynamic scheduling of the EPC project resource. And processing the project activity list, the project resource list and the project starting time by using a multi-objective optimization algorithm containing crossover and mutation operation to obtain an optimal resource scheduling scheme containing the project construction period, the cost and the resource utilization rate, and after the scheme is issued and executed, obtaining the progress, the cost and the resource use condition in real time, thereby realizing the resource scheduling. A progress deviation rate, a cost performance index and a resource load rate are calculated and normalized, a comprehensive evaluation value is obtained through a linear weighting model, and whether a multi-objective optimization algorithm is optimized or not is judged according to the comprehensive evaluation value, namely, the weight of each objective function is adjusted according to the highest index after normalization, and a scheme is regenerated. According to the invention, resource dynamic optimization scheduling is realized, and project management efficiency is improved.

The invention provides an intelligent identification and early warning method and system. The method comprises the following steps: receiving real-time environment sensing data, performing dynamic matching processing, and generating a potential abnormal activity list; on the basis of the potential abnormal activity list, dynamically capturing time sequence data and spatial relevance by applying a spatio-temporal dynamic graph neural flow algorithm and through a continuous time graph convolution mechanism, and weighting key spatio-temporal feature points by adopting a feature weighting method to generate an abnormal behavior trend prediction model; based on the abnormal behavior trend prediction model, carrying out emergency degree grading analysis by using a federated transfer learning algorithm based on differential privacy, and carrying out causal relationship analysis by using a causal inference technology to generate an abnormal behavior emergency degree; and outputting a customized safety notification based on the abnormal behavior emergency degree, sending the customized safety notification to a target source group, performing continuous monitoring, and generating an intelligent identification and early warning strategy. According to the technical scheme provided by the invention, the intelligent identification accuracy and the early warning response timeliness are remarkably improved.

The invention discloses a travel scene presetting and service method based on a safety seat and a child seat, and the method comprises the steps: recording the travel behavior data of a user, and generating a user activity list based on learning and / or customization; storing the user activity list, wherein the user activity list comprises conditions and feedback; monitoring parameters of a current scene according to conditions in the user activity list; matching corresponding feedback from the user activity list according to the monitored scene condition; according to the matched feedback, the safety seat is controlled to execute corresponding actions, and travel scenarized service is completed. The safety seat can provide accurate and intimate scene services by learning user behaviors or allowing user customization, and the system generates a personalized activity list according to the use habits of the user, so that the requirements of different families are met, and the comfort is enhanced; various condition signals are processed through an activity list and a learning algorithm, the hardware complexity and the number of sensors are reduced, and the cost is reduced.

To provide a mechanism for managing activities with respect to assets owned by an owner.SOLUTION: An activity management method using chat in which an activity list is stored which requires confirmation from a real estate property owner includes: accepting a selection of the real estate property; accepting a selection of the activity from the activity list; acquiring real estate property information on the activity of the selected real estate property; generating an activity card into which the acquired real estate property information has been input; and posting the activity card to a chat in which messages are exchanged with the owner.SELECTED DRAWING: Figure 32

The present disclosure relates to an information display method, apparatus, electronic device, and storage medium. The method includes: displaying an activity main page; the activity main page includes an activity list area, the activity list area includes a plurality of activities, and the plurality of activities correspond to multiple activity types; in response to a preset gesture operation based on the activity list area, displaying activity content cards corresponding to each of the plurality of activities; on each activity content card corresponding to an activity, displaying the content multimedia resources of each activity; in response to a trigger operation on any activity content card, displaying an activity page of a target activity corresponding to the any activity content card; the activity page of the target activity includes activity details information of the target activity. The present disclosure can simplify the operation steps for viewing content resources, improve the convenience and intuitiveness of viewing content resources, and enhance the activity attraction.

The invention discloses a game operation activity management method and device. The method comprises the following steps: acquiring first activity configuration data input by a user, and updating a first activity list according to the activity configuration data; sending the first activity list to a plurality of corresponding servers, and receiving a second activity list returned by each server; the second activity list is obtained by comparing the current operation activity of the server by the server according to the first activity list; and obtaining second activity configuration data corresponding to each server according to the second activity list, and sending the second activity configuration data to the corresponding server. According to the method and the device, the cross-server game activity configuration and management efficiency can be improved, and meanwhile, the game activity configuration error rate caused by manual configuration is reduced.

An embodiment of the present invention provides a method and device for activity query based on memory cache, which can be used in the field of artificial intelligence technology. The method includes: obtaining a user access request, where the user access request includes a user identification code; matching a corresponding memory cache according to the user identification code; querying a full activity list from the memory cache; and screening out a corresponding user activity list from the full activity list according to the user identification code based on a pre-set user class table. By adding a memory cache in the memory of the rights and interests service layer, the device cost is reduced, and the overall performance capacity and query success rate are improved.

An embodiment of the present invention provides a method and apparatus for activity query based on distributed cache, which can be used in the field of artificial intelligence technology. The method includes: obtaining a user access request, where the user access request includes a user identification code; matching a corresponding distributed cache node according to the user identification code; querying a full activity list from the distributed cache node; and screening out a corresponding user activity list from the full activity list according to the user identification code based on a pre-set user class table. By setting up distributed cache nodes and performing separate query processing on access requests, it is possible to avoid the query bottleneck of public resources, improve the query success rate, and improve the overall performance.

The present invention provides a scene-dependent video anomaly detection method, apparatus, device, and storage medium, relating to the field of artificial intelligence technology. The method comprises: using a large language model to perform abnormal activity analysis on general abnormal activity rules and abnormal activity rules of a target scene to obtain an abnormal activity list of the target scene; uniformly sampling multiple frames within a time window centered on each frame of the video to be detected to construct a video segment corresponding to each frame; inputting the subtitles of all frames in each video segment and a summary generation prompt for describing time information into the large language model to generate a time summary corresponding to each video segment; and inputting the time summary corresponding to each video segment, the abnormal activity list of the target scene, an anomaly scoring prompt, and an output format requirement prompt into the large language model to obtain an anomaly score for each frame of the video to be detected. The present invention implements scene-dependent anomaly detection.

The invention relates to the technical field of computers, and discloses a watershed business relationship determination method and device, computer equipment and a medium, business identification is performed by using a word frequency and reverse file frequency method and a clustering analysis method, a valuable watershed business activity list can be intelligently and quickly extracted from a large amount of text data, and the method and the device for determining the watershed business relationship are provided. And low efficiency and subjectivity of a traditional manual identification mode are avoided. Furthermore, a causal graph is constructed based on the data set and the activity list, and a preset particle diffusion model is utilized to traverse the causal graph to obtain a watershed business causal chain table, so that systematic carding and deep mining of causal relationships among complex factors in watershed information are realized, and business relationships hidden behind data can be found. And finally, the basin business relationship is determined in combination with the actual basin business process, so that the discovered business relationship can be closely combined with the actual business, and a new business opportunity can be discovered in a targeted manner in basin management.

The invention discloses an activity pushing method of a culture cloud platform based on big data, and relates to the technical field of activity pushing, and the method comprises the following steps: building a multi-scale interest graph based on user behaviors, and obtaining a user graph model; performing activity node similarity calculation according to the user graph model to obtain a candidate activity set; performing behavior preference reasoning according to the candidate activity set to obtain a refined activity list; performing activity pushing according to the refined activity list to obtain a pushing result; user feedback behaviors are collected according to the pushing result, and a feedback interest map is obtained. The multi-dimensional interest of the user can be reflected more accurately, interest changes of the user in different time periods can be captured, complex interest structures and behavior patterns of the user can be processed, the recommendation accuracy and flexibility are improved, the adaptability to dynamic changes of the interest of the user is improved, the timeliness and personalized recommendation ability of a recommendation system are improved, and the user experience is improved. And the recommendation accuracy is improved.

1. The name of the design product: graphical user interface of online courses for electronic devices. 2. The use of the design product: for electronic devices. 3. The design points of the design product: the graphical user interface displayed on the screen. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: for users to browse, watch online courses, or register for training activities, or pay for online professional title declaration, etc. 6. The human-computer interaction mode of the graphical user interface: the front view, interface change state diagram 1 is the main interface for users to browse courses and training activities, including live open courses, professional title evaluation services, offline special training, continuing education courses, and online high-quality courses; scrolling down the mouse in the front view enters interface change state diagram 1; clicking the 【view more】 button of offline special training and continuing education courses in interface change state diagram 1 enters interface change state diagram 2, and scrolling down the mouse in interface change state diagram 2 enters interface change state diagram 3; interface change state diagram 2 and interface change state diagram 3 are training activity list pages.

To provide a mechanism that performs, using chat, activity management for an asset owned by an owner.SOLUTION: An activity management method using chat includes: storing an activity list that needs to be confirmed with an owner of real estate properties; receiving a selection of the real estate properties; receiving a selection of activity from the activity list; acquiring real estate property information related to the activity of the selected real estate property; generating an activity card with the acquired real estate property information input thereto; and submitting the activity card to the chat where a message is exchanged with the owner.SELECTED DRAWING: Figure 32

The application relates to a quota management method and device of a preferential activity, computer equipment and a storage medium. The method comprises the following steps: receiving a preferential calculation request, obtaining a preferential activity list according to the preferential calculation request; obtaining order information, calculating the preferential amount corresponding to each preferential activity in the preferential activity list according to the order information and preferential rules; obtaining a payment method, matching a preferential activity meeting a condition according to the payment method; when the preferential activity has a reusable quota, the reusable quota is selected and the preferential amount is displayed; wherein the reusable quota refers to an activity quota that has been locked by a current user and is still within a locking time limit; the activity quota refers to an activity budget and / or an activity number. By using the method, repeated locking can be reduced, and activity funds can be maximally utilized.

The application discloses an activity page display method and device, equipment and a storage medium. The method comprises the following steps: periodically sending an activity list update request to a server through a set SDK, so as to trigger the server to determine a matching activity list corresponding to a current user account based on activity participation conditions of each activity and current user account information and to feed back; in the case that the matching activity list sent by the server is received, caching the matching activity list through the SDK; in the case that a list acquisition request is detected, calling an activity list acquisition interface of the SDK to acquire the cached matching activity list, and generating an activity page containing a display activity list corresponding to the matching activity list to display. The application uniformly manages activity pushing and display functions through the SDK, and realizes efficient and personalized activity page display processes.

The present invention provides a smart accounting processing device and method. According to one embodiment of the present invention, the smart accounting processing device provides a first activity list providing program for providing a first activity list, a resource list providing program for providing a resource list, an activity purpose list providing program for selecting the first activity list and providing a matching activity purpose list, a selecting program for selecting the first activity list and the matching activity purpose list, selecting one option in the activity purpose list, and storing a second activity list according to the first activity list and the selected activity purpose and a corresponding activity list providing program. If selected, an account subject system is included, and corresponding account subjects are provided in a saved account subject table based on the selected second activity list and the selected resource list.

The invention discloses a distributed multi-project scheduling method and device, a medium and equipment, and relates to the technical field of distributed multi-project scheduling. Comprising the steps of obtaining an overall network comprising a plurality of projects; coding the whole network, and generating an activity list for representing an activity priority sequence relationship in the project; decoding the activity list by using an improved parallel scheduling generation mechanism based on a time sequence to obtain an initial global scheduling plan and an initial resource transfer plan; and optimizing the initial global scheduling plan and the initial resource transfer plan by using an optimization algorithm to obtain an optimal distributed multi-project scheduling scheme. According to the method, under the condition that a parallel scheduling mechanism ensures the operation efficiency, the feasibility of a scheduling scheme in a global perspective is ensured by introducing a carbon emission constraint in an activity proceeding process and a transfer time constraint of resources among different activities; therefore, the limitation of the traditional meta-heuristic algorithm on coding, decoding and scheduling generation mechanisms is overcome.

The application relates to a data query method and device, computer equipment, a storage medium and a program product. The method comprises the following steps: receiving user information input on a data query interface; performing qualification examination on the user information according to an activity rule to obtain an examination result; when the examination result represents that the examination is passed, entering an activity list interface; in response to a triggering operation on the activity list interface, obtaining a corresponding activity primary key and activity code; in response to the activity primary key and the activity code input on a business query interface, sending a query request to a query server, so that the query server obtains original activity data according to the query request; and extracting target activity data from the original activity data according to a returned parameter. The method can save human resources and background query server resources.

The invention relates to an automatic testing method, device and equipment and a computer readable storage medium. The method comprises the steps that a test case is converted into an activity list array; obtaining a plurality of preset execution scripts matched with the activity list array; combining the plurality of preset execution scripts into a function execution stream according to a test sequence of the test case; and executing a test task corresponding to the test case through the function execution flow. According to the method, automatic writing of the function execution flow is completed through matching of the test cases and the preset execution scripts and sequential combination of the multiple preset execution scripts, so that automatic testing is achieved, and the testing efficiency and consistency are improved.

Automatic identification of drilling activities based on daily reported job codes includes obtaining a drilling report for a well. The drilling report includes codes. The method further includes obtaining a template including a plurality of rules, the plurality of rules including one rule. The rule maps one or more of the plurality of codes from the drilling report to one of the activity tags. The activity tags are mapped to the drilling report using the rule to identify occurrences of activities from the drilling report having the activity tags. An activity list is presented, the activity list including the activity tags with timing information for activities at the well.

This invention discloses an activity recommendation method for a big data-based cultural cloud platform, belonging to the field of activity recommendation technology. The method includes the following steps: constructing a multi-scale interest graph based on user behavior to obtain a user graph model; calculating the similarity of activity nodes based on the user graph model to obtain a candidate activity set; performing behavioral preference inference based on the candidate activity set to obtain a refined activity list; recommending activities based on the refined activity list to obtain recommendation results; and collecting user feedback behavior based on the recommendation results to obtain a feedback interest graph. This invention can more accurately reflect users' multi-dimensional interests, capture changes in user interests over different time periods, handle complex user interest structures and behavioral patterns, improve the accuracy and flexibility of recommendations, enhance the adaptability to dynamic changes in user interests, improve the timeliness and personalized recommendation capabilities of the recommendation system, and increase the accuracy of recommendations.

The invention discloses a rapid iteration seismic travel time calculation method under a complex terrain condition, and relates to the field of seismic travel time calculation, and the method comprises the steps: firstly reading a geological model and related parameter information; then attribute declaration is carried out on the whole calculation grid points, and corresponding parameters are set; initializing a seismic source, and setting seismic source point attributes in calculation grid points according to provided seismic source point positions; then selecting all adjacent points around the seismic source point to form an initial activity list, and carrying out attribute setting; updating the travel time of the activity list; the travel time of the grid nodes is obtained through calculation according to an iterative calculation formula until elements in the activity list are empty, travel time values of all the grid nodes are obtained, and finally the calculation result is output. According to the rapid iterative seismic wave travel time calculation method under the complex terrain condition, high precision is guaranteed, meanwhile, the algorithm has high calculation efficiency, and the calculation efficiency is high. And the calculation efficiency of subsequent seismic exploration data processing is improved.