13 results about "Activity scheduling" patented technology

A machine learning and inference system for generating personalized activity plans includes: a trained world context knowledge base; a trained personal digital memory bank; the target engine is used for establishing a moving target; an activity decomposition engine to decompose the activity into connected logically consistent sub-activities; a weight allocation engine to allocate value weights to the potential sub-activities; a graphics generation engine to generate a multi-layer weighted graph to train a model of personalized results of the sub-activities according to value weights; a scene generation engine to analyze a network of logically consistent potential sub-activities connected by paths to determine a selected scene path to the activity target according to a model that at least personalizes the user results; a feedback engine to apply learning from the scene generation engine to a world context knowledge base and / or a personal digital memory bank; and an output channel for outputting a personalized activity plan comprising recommended actions for implementing the selected scene path.

We provide the system. [Solution] A means of inputting information from users and generating profile data related to the group's overall activity plan, A method for collecting conversation data from group chats in real time and analyzing keywords and sentiments using natural language processing, A means for generating activity suggestions based on the aforementioned analysis results and profile data, and for sending the suggested content to the user, A means of receiving user feedback and adjusting the proposed content, The final activity plan after adjustments will be presented, and the means for booking and settling that plan will be provided. A means of sending notifications before an activity and collecting feedback after it is completed, A system that includes this.

The embodiment of the invention discloses a test method and device, electronic equipment, a storage medium and a program product. The method comprises the following steps: in response to a test request for a target activity instance in an application program, obtaining test configuration information of the target activity instance; wherein the test configuration information comprises a test starting moment, and the test starting moment is earlier than a planned execution moment of the target activity instance; and testing the target activity instance based on the test start moment. According to the technical scheme provided by the embodiment of the invention, the technical effects that the pre-test of the activity instance of the application program is realized, the limitation of the test time on the execution moment of the activity plan is broken, the test time cost is reduced, the test period is shortened, and the application program test and iteration efficiency is improved are achieved.

This invention relates to the field of smart campus management technology, specifically a smart campus resource allocation and management method and system based on big data. The method includes: collecting and integrating real-time signals from various locations within the campus to generate standardized resource status description information; analyzing future teaching and activity plans to generate a spatiotemporal distribution prediction map of future resource demands; inputting the real-time status and future demand map into a collaborative scheduling decision model for optimization analysis to generate a globally optimal resource allocation and operation instruction set; and generating and issuing control codes to drive energy, facilities, security, and information dissemination systems based on the instruction set. This method, by integrating real-time status and future demands for joint decision-making, achieves forward-looking and collaborative resource scheduling, effectively optimizing the spatiotemporal allocation and operational efficiency of campus resources.

Generation method and system for closed-loop human activity program. The method involves inputting initial scene information and activity description, generating initial activity program through planner, checking verification code of corresponding action of the activity program, and sending current action to simulator for execution when the current action is executable, or modifying the activity program using verification code when the current action is unexecutable; checking execution status of the activity program, and if the corresponding action is successfully executed in simulator, obtaining post-execution status returned from the simulator, or if the corresponding action is executed unsuccessfully, modifying the activity program again using corrector according to error information returned from the simulator; and outputting the final modified activity program. The method can dynamically correct the activity program during the execution process, and greatly improve the enforceability of the activity program.

We provide the system. [Solution] A means of receiving input information from the user, A means for collecting data from multiple external databases and information sources based on the aforementioned input information, A means for analyzing the collected data and generating an activity plan that is optimal for the user's conditions, Means for providing the generated plan to the user, A system that includes this.

The invention discloses an interaction method and device of intelligent equipment, equipment, a storage medium and a program product, and relates to the technical field of artificial intelligence. The method comprises the steps of collecting activity state data of a first object through an intelligent device, and determining a state prediction result corresponding to the first object in combination with relevance between activity plan data preset for the first object and the activity state data, therefore, the intelligent device is controlled to execute the target interaction action to interact with the first object according to the state prediction result of the first object, that is, the intelligent device is utilized to automatically collect the activity state of the first object in real time, and the interaction action needing to be executed is autonomously determined. The situation that the first object manually operates the intelligent device to achieve the interaction function is avoided, the man-machine interaction efficiency is improved, and meanwhile the product function diversity of the intelligent device is enriched.

The system according to this embodiment aims to efficiently predict and create monthly activity plans and to visually confirm them. [Solution] The system according to the embodiment comprises a reading unit, an analysis unit, a generation unit, and a display unit. The reading unit reads calendar information. The analysis unit analyzes the information read by the reading unit. The generation unit generates an activity schedule for the following month based on the information analyzed by the analysis unit. The display unit displays the activity schedule generated by the generation unit via smart glasses.

The present disclosure provides an electronic device. The electronic device comprises: at least one sensor; a communication circuit; a display; a memory storing at least one program; and at least one processor electrically connected to the memory and executing at least one instruction of the program stored in the memory, wherein the at least one processor is able to perform: receiving a user input for registering a first activity schedule for a first reference date of a calendar; generating an activity program including at least one detailed activity schedule related to the activity from a first start date to a first target date, by using an activity type for the first activity schedule and an activity level of a user; analyzing a correlation between the detailed activity schedule of the activity program and the user's calendar schedule, the user's life pattern, or at least some of parameters related to the user's activity level; determining the detailed activity schedule of the activity program on the basis of the analysis result of the correlation; registering the determined detailed activity schedule as a schedule of the calendar; adjusting at least part of the detailed activity schedule by using the user's life pattern for a recent period or at least one pattern of the parameters related to the user's activity level; and outputting an alarm for a scheduled detailed exercise schedule while tracking the detailed activity schedule.

Method (100) for planning a journey with a motor vehicle (50), wherein the method (100) comprises: acquiring (110) a destination (65) for navigating the motor vehicle (50) along a route (70) to the destination (65); identifying (115) along the route (70) and at the destination (65) at least one place of interest (POI) and / or at least one activity (A); determining (120) based on the place of interest (POI) and / or the activity (A) an activity plan (70); and outputting (130) an output signal (75) to provide the activity plan (70) to a user (10) of the motor vehicle (50).

Provide a system. 【Solution means】 Means for automatically requesting participants to confirm their participation in activities using communication technology, Means for aggregating responses from participants and determining an appropriate time, Means for selecting a location according to the user's preferences and automatically making a reservation for the location, Means for cooperating with a payment device that automates individual or group payment processing after the activity ends, Means for collecting participants' opinions regarding the activity and utilizing them in the next activity plan, Means for implementing a function to adjust and notify the schedule of training activities to relevant parties, Means for automating opinion collection after the activity ends and accumulating information for activity improvement, A system including the above.

A machine learning and inferencing system to generate a personalised activity plan comprises a trained world context knowledge base; a trained personal digital memory store; a goal engine to establish

We provide the system. [Solution] A computing means that accepts user voice or text input, Information processing means that analyzes the input received from the aforementioned computing means and extracts related abstract concepts using natural language processing techniques, Information processing means that requests coordinated operation between other computing means based on analyzed related abstract concepts and generates a common activity plan, Information processing means for automating reservations based on a generated common activity plan, A system including a computing means for notifying the user of reservation completion information.