96 results about "Time schedule" patented technology

Techniques for obtaining a Mobile Originating (MO) push schedule from a device in a wireless network are described herein. For example, the system may request MO push schedules from device endpoints and compare the MO push schedule with existing job schedules stored by the system. If no existing job schedule matches the MO push schedule, the system may generate a new job schedule and add the endpoint as a member of the job schedule. In some cases, if an existing job schedule matches the MO push scheduled, the system may add the endpoint as a member of the existing job schedule. In some examples, the system may receive an indication that the MO push schedule of the endpoint has changed and may add and / or remove the endpoint from a job schedule based on an updated MO schedule received from the device endpoint.

The invention provides a large-model cross-domain computing power scheduling method, which comprises the following steps of: according to a structured computing power demand expression, defining each attribute and parameter of a computing power demand by adopting a unified computing power demand description language, forming a standardized computing power demand description mode, and realizing consistent expression of computing power demands among different domains; in the scheduling system, a computing power demand comparison and priority determination mechanism is established, priority ranking is performed on computing power demands of different domains according to standardized computing power demand description, and the emergency degree and importance of each demand are determined; and generating a cross-domain computing power scheduling scheme according to the priority of the computing power demand in combination with the computing power resource condition of each domain, and determining a computing power distribution scheme and a scheduling time table of each domain to realize accurate matching of the computing power demand and the computing power resource.

Systems and methods are disclosed configured to enable dynamic control of content streaming and / or to control content streaming so as to reduce peak system loads. A user electronic timetable is accessed from memory and is amazed to identify future unscheduled time periods. A first learning engine classifies timetable entries into subject types. A watchlist comprising a plurality of content items of respective time lengths is accessed. A second learning engine utilizes the classification and the time lengths to generate a scheduling recommendation of at least one item of content on the user watchlist. The scheduling recommendation is transmitted over a network to the user device. If the recommendation is accessed, a timetable entry is generated corresponding to the scheduling recommendation The at least one item of content on the user watchlist is streamed to the first device of the user in accordance with the accepted scheduling recommendation.

The embodiment of the invention discloses a pixel compensation method and device, a time schedule controller and a display device. Through the pixel compensation method, the difference quantity of the two adjacent frames of display data can be judged according to the gray scale difference value of the two adjacent frames of display data, when the difference quantity is small or even the two adjacent frames of display data have no difference, the compensation algorithm can be adaptively closed, brightness compensation is not relatively carried out any more, then the granular sensation of the frames is reduced, and the image quality is improved. When the difference quantity is large, it can be determined that the video picture is in a dynamic change state, at the moment, a compensation algorithm is started, and naked eyes cannot easily perceive the granular sensation of the picture in the dynamic picture. Therefore, through the pixel compensation method provided by the embodiment of the invention, at least the technical problem that a multi-domain VA visual angle compensation algorithm causes a relatively strong grainy feeling of a picture can be solved.

Techniques and apparatus for scheduling coordinated restricted target wake times (Co-RTWTs) with jitter are described. An example technique includes determining a schedule of service periods allocated to at least one of (i) one or more access point (AP) devices or (ii) one or more aggregated flows associated with the one or more AP devices. A first service period allocated to a first AP device for exchanging first traffic is determined based on the schedule of service periods. Upon determining, in the first service period, that a second AP device has second traffic that satisfies a predetermined condition, a portion of the first service period is allocated to the second AP device for communicating the second traffic.

A method includes receiving a plurality of operations in a sequence recipe. The plurality of operations is associated with processing a plurality of substrates in a substrate processing system. The method further includes identifying a plurality of completion times corresponding to the plurality of operations. Each completion time of the plurality of completion times corresponds to completion of a respective operation of the plurality of operations. The method further includes simulating the plurality of operations by setting a virtual timeline for each of the plurality of completion times to generate a schedule for the sequence recipe. The method further includes causing the plurality of substrates to be processed or performing a corrective action based on the schedule.

A method and computing environment for mine productivity optimization is disclosed. Possible movements for mine vehicles over a predetermined timeframe are modeled, and a mine merit function is computed for each of the possible movements. A possible movement set is selected on the basis of the merit function, and a vehicle schedule is generated from the possible movement set and pushed out to the vehicles. Optimizations of future movement may be made continuously, on a rolling basis, and the schedules updated. Schedules may be revised on the basis of planned future events such as maintenance events.

Technological improvements are described for automatically generating crew and equipment schedules that are optimized for regulatory compliance and balanced according to goals or policies referred to as balance settings. Example systems and methods include building and maintaining a compliance library of regulations. A machine-learning operations model generates a schedule that complies with regulations and receives input data including a proposed schedule and the priority-weighted balance settings. Then, the operations model, using a set of recursive processes, generates a candidate schedule that is optimized based on the regulations and the balance settings. An auditor confirms the candidate schedule complies with regulations. The auditor evaluates real-time data to flag potential violations and generate compliance notices and compliance reports. The system includes a generative AI model trained using an industry-specific small language model (ISLM) for receiving textual and image data for use by the operations model and for generating responsive messages.

To provide an image forming apparatus which can be switched to a mode with less power consumption than a sleep mode by a method designated by a user in advance.SOLUTION: In a state in which the auto power-OFF period is stored in the memory 103, CPU101 indicates that the auto power-OFF period has elapsed since the power of predetermined hardware other than CPU101 and the memory 103 was turned OFF in a state in which the power of the fixing device 7 was OFF. In addition, it is possible to execute a process of turning off the power of the hardware including the CPU101 and the memory 103 when the predetermined condition is satisfied, and a process of turning off the power of the hardware including the CPU101 and the memory 103 when the time scheduled by the schedule has passed and the predetermined condition is satisfied in a state where the power of the fixing device 7 and the power of the predetermined hardware other than the CPU101 and the memory 103 are off in a state where the schedule is stored in the memory 103.SELECTED DRAWING: Figure 7

The invention belongs to the technical field of display, and particularly relates to a display control method, a time schedule controller and a display panel. Comprising the following steps: acquiring a current starting voltage value and a current common voltage value output by a power management circuit in a startup or shutdown process of the display panel; when the current starting voltage value is the valid voltage and the current common voltage value is the invalid voltage, obtaining a target time difference of the current common voltage value from the invalid voltage to the valid voltage; a clock driving signal is adjusted according to the target time difference, so that the gate driving circuit delays opening of pixel rows in the display panel according to the clock driving signal; or / and adjusting the data output time sequence according to the target time difference, so that the data driving circuit delays the output of the data signal according to the data output time sequence. According to the invention, the splash screen phenomenon of the display panel during startup and shutdown is effectively improved.

The invention discloses a time schedule controller with brightness compensation, a display and a pixel brightness compensation method. The pixel brightness compensation method comprises the following steps of: obtaining a current gray-scale value of a pixel in the display, accumulated operation time of the display, a current temperature and a current display brightness value; determining a first gain value and a third gain value according to the current gray-scale value, the current temperature and the accumulated operation time; generating a second gain value according to the current display brightness value; and converting the current gray-scale value of the pixel into a target gray-scale value through the first gain value, the second gain value and the third gain value. Therefore, the aging speed of the pixels can be slowed down, and the brightness of the pixels can still be maintained within the brightness range after the display time of the display panel reaches the target accumulated operation time.

This application discloses a CAN network load balancing method, apparatus, device, and medium, relating to the field of communication technology and applied to a master ECU node. The method includes: after power-on, sending a local clock timestamp to each slave ECU node at preset time intervals, so that each slave ECU node synchronizes its local clock based on the timestamp; obtaining the transmission load reported by each slave ECU node after synchronizing its local clock, and planning the transmission time points of each slave ECU node based on the transmission load to obtain a time schedule table; and sending the time schedule table to each slave ECU node so that each slave ECU node sends CAN messages at the target time points specified in the time schedule table according to its local clock. In this application, the master ECU node can uniformly schedule the time for slave ECU nodes to send CAN messages based on their transmission load, reducing the peak load of the CAN bus and ensuring the stability and real-time performance of signal transmission.

Systems and techniques for optimizing ramp operations of a hub based on a dual-stream resource optimization (DSRO) through an intelligent graphical user interface (GUI). The GUI dynamically visualizes an optimized ramp operations schedule, enabling operators to interact with and adjust the schedule of inbound and outbound trains. Re-optimization features adapt to changes made by the operator, maintaining efficient hub operations. The GUI's intelligent decision-making capabilities consider complex resource interdependencies and the cascading effects of schedule adjustments. Enhanced operational efficiency is achieved by providing alerts and notifications for deviations from the optimized plan, facilitating swift action. User-driven optimization offers operators the flexibility to select from multiple optimization options or maintain the original schedule. This intelligent GUI integration with the ramp operations optimization system advances intermodal hub management, driving efficiency and responsiveness.

This invention discloses an intelligent data acquisition system and method for electricity consumption information from dedicated transformer acquisition terminals, relating to the field of power data acquisition technology. The method includes the following steps: collecting historical data on the operating status of dedicated transformer acquisition terminals and constructing a set; dividing the data by time period and constructing feature vectors; generating training samples using the reporting success rate as a label; training a random forest regression model to output the communication quality coefficient for each time period; marking abnormal time periods with coefficients below a threshold; allocating candidate upload windows based on normal time periods; removing windows that intersect with abnormal time periods to obtain usable windows; calculating the deviation between the usable window and the baseline upload time; selecting the window with the smallest deviation as the optimized upload time for a single terminal and calculating the scheduling adaptability; selecting the globally optimized upload time based on the adaptability; generating an adaptive data acquisition schedule; and adjusting the reporting time of electricity consumption information for each terminal. This invention achieves intelligent data acquisition of electricity consumption information.

We provide the system. [Solution] A means of collecting past behavioral data of participants and storing it in a database, A method for analyzing participants' past behavioral data using a generative model and generating an optimal event schedule for each participant, A means of sending and displaying the generated event schedule on the participants' devices, A means of accepting schedule adjustments from participants and managing updated schedules, A means for participants to share the generated schedule with other participants, A system that includes this.

An autonomous processing method for a beverage preparation machine and a beverage preparation machine are provided that automatically triggers the beverage preparation machine to enter a processing mode according to at least one usage parameter or schedule, the at least one fluid collection tank is caused to deploy relative to the at least one fluid distribution outlet to clean the machine and the at least one fluid distribution outlet.

This invention provides a method, system, electronic device, and medium for performance management of research project personnel. The method includes: acquiring all project work hour data of the unit; fitting the completion cycle of various work hour tasks of the unit based on the all project work hour data to obtain a real-time mapping relationship between work hour task cycles and work hour task types; determining a planned time schedule for project work hour tasks based on the real-time mapping relationship; revising the planned time schedule based on project work hour quotas, the time schedule of similar projects being executed, and the comparable time schedule of similar projects that have been completed, to obtain a revised time schedule; and responding to the input of the project development cycle ratio and the stage target value of the project work hour task completion progress in the revised time schedule to obtain the stage target value of each work hour task of the project. This accurately predicts the work hour patterns of research project personnel, allows for timely formulation of phased personnel performance goals for research projects, and improves the efficiency of research project management.

Computer implemented methods and systems construct and modify a schedule for an on-demand private aviation operator. Demand and supply information for one or more specific days in the future are obtained and used by a construction algorithm to construct a schedule for the one or more specific days that assigns respective aircraft to respective aircraft routes that include flight legs, assigns respective crew members to respective aircraft routes or flight legs thereof, to satisfy flight demands, while complying with constraints and achieving specified objective(s) of the construction algorithm. Thereafter, in response to receiving an indication of a change to the supply and / or demand information that warrants a modification to the schedule, an improvement algorithm is used to modify a portion of the schedule to address the change while complying with the constraints and achieving specified objective(s) of the improvement algorithm.

Virtual number, which is not reachable directly so its impossible to bypass the system. □ Incoming calls Intercepted by the platform for processing, on the basis of: o Blocking by Time of day □ Subscriber can specify a time schedule to shutdown their Virtual Number for a specific times period. Ex: 5pm to 8am. Everyday o Blocking by MS1SDN- Black Listing □ Specific MSISDN can be blocked so no incoming callsipr sms are received from these MSISDNs on the Virtual Number o Turn Off / pn-The Virtual Number can be turned offioroh at anytime by calling the configuratiori IVR. □ Calls are routed to an actual phone of the . subscriber based on his / her preferences □ Subscriber gets call from original CUD with special prefix for identification □ Front end for subscriber to manage his preferences and rules, based on: o lVR o SMS o More in optional features. □ For outgoing calls the userjust has to make a call with the same prefix as mentioned earlier for incoming calls. The call hackworks the same way. □ Call conferencing with unlimited parties. □ The system does not interfere with other services such as Call waiting / conferencing.

The embodiment of the invention belongs to the display technology, and provides display equipment, and the display equipment comprises a display module which comprises a display screen, a backlight assembly and a time schedule controller; the backlight driving module drives the backlight assembly to emit backlight; the processor is used for receiving image data of at least one frame of image, dividing the frame of image and acquiring at least two areas included in the frame of image; according to the image data of the one-frame image, determining a brightness value and a spatial filtering parameter corresponding to any region included in the one-frame image, the spatial filtering parameters of at least two regions being different; and according to the spatial filtering parameter corresponding to any region included in the frame of image, filtering operation is performed on the region to obtain a target brightness value corresponding to the region, and the filtering operation comprises performing spatial filtering processing on the brightness value corresponding to the region based on the spatial filtering parameter. According to the invention, different spatial filtering parameters are adopted to process different areas of one frame of image, so that the image display effect is improved.

An input to schedule a future conference is received. The input identifies a list of topics and a total time scheduled for the future conference. Time allotments for the list of topics are determined based on historical conference data. The time allotments are scaled based on a total time weight indicative of the total time to generate scaled time allotments within that total time. A schedule item for the future conference is then updated to include the scaled time allotments for the list of topics

This application provides a method, system, device, and medium for aligning time-series data in a cloud-edge collaborative manner, belonging to the field of cloud-edge collaboration technology. The method includes deploying a time-series generation microservice in the cloud or on a central server; constructing multiple edge acquisition and storage integrated microservices for various data acquisition protocols and deploying them to corresponding edge hardware devices; each edge acquisition and storage integrated microservice collecting time-series data from industrial IoT devices; subscribing to a unified time-series message; the time-series generation microservice sending a message containing a unified timestamp and storage instructions to the edge acquisition and storage integrated microservice via a message queue; comparing the message with the local timestamp; if the timestamp difference is within the allowable error range, formatting the collected time-series data using the unified timestamp and storing it in a database; if it exceeds the allowable error range, executing a preset error handling process. This application's technical solution can solve the problem of low time-series alignment efficiency in high-frequency, multi-location scenarios with large data volumes.

We provide the system. [Solution] A means for users to input schedule data, A means of sending the above scheduled data to the server, The above server receives the above scheduled data and stores it in the database, The above server has a means of calculating task priorities based on the above schedule data, A means for processing the dependencies of the above tasks and generating a time schedule, A system including means for notifying the user of the generated schedule.

A system and method for generating optimized workshop schedules is disclosed, involving a multi-step process that integrates data collection, optimization, and machine learning. The method begins by collecting production data and routing information from an Enterprise Resource Planning (ERP) system or an Enterprise Data Warehouse (EDW) system. An optimization model then generates an initial workshop production schedule based on the collected data. This schedule is subsequently fine-tuned to create an enriched schedule that incorporates alternative routing information and more realistic data constraints. A supervised Machine Learning (ML) model is trained using the enriched schedule to learn the embedded data constraints and objectives. Finally, the trained ML model is deployed to generate highly accurate workshop schedules, ensuring efficient and effective production processes. This method enhances scheduling accuracy and operational efficiency in manufacturing environments.

The invention provides a time schedule controller and an operation method thereof. The timing controller includes a timing signal generation section and a screen signal generation section. The timing signal generation section generates clock signals to a plurality of source drivers for driving a display panel. The screen signal generation section generates a screen signal synchronized with a clock signal. The picture signal includes a plurality of data segments corresponding to different source drivers. The time schedule controller adjusts the phase of at least one of the clock signal and the picture signal, so that the clock signal has different time deviations for different data segments to adapt to different transmission path delays between the time schedule controller and the source drivers.

The invention discloses a new energy power station oriented electric power energy balanced allocation method and system, relates to the technical field of new energy power stations, and solves the problem that a traditional allocation mode depending on manual decision cannot meet the requirements of mass data processing and real-time scheduling. According to the method, the energy storage demand time of each load node is accurately locked, so that the problem that resources are idle due to too early energy storage or the load cannot be met due to too late energy storage is avoided; the sorting of the energy storage moments of different load nodes forms a moment sequence, and the time priority of energy storage scheduling is defined, so that the energy storage system of the new energy power station can plan the charging and discharging rhythm in advance (for example, the node energy storage which is about to reach the load peak value is preferentially guaranteed), the utilization efficiency of energy storage resources is improved, and the wind and light abandoning phenomenon is reduced.

Aspect of the disclosure include a computer-implemented method including: scanning, by a computing device, one or more sources on a predetermined schedule to obtain project information; extracting, by the computing device, project data from the project information, the project data including at least a user assigned to a task and a resource required to complete the task; determining, by the computing device, that the user has permission to access the resource associated with the task; and providing, by the computing device, the permission to the user to access the resource for a predetermined time period such that the user can gain access to the resource for the predetermined time period to work on the task.

A computerized-method for operating intraday schedule optimization in real-time for a schedule having one or more time-intervals, in a contact-center. The computerized-method includes: (i) retrieving current-state data of the contact center for each time-interval in the schedule; (ii) generating a current-schedule-state node that includes the received current-state data of the contact center; (iii) generating a directed-graph of a plurality of updated-schedule-state nodes; (iv) applying a model to predict SLA-level for each updated-schedule-state node in the generated directed-graph; (v) applying a heuristic search graph algorithm on the generated directed-graph of the plurality of updated-schedule-state nodes based on the SLA level of each updated-schedule-state node in the generated directed-graph as a heuristic to yield a path in the directed-graph of updated-schedule-state nodes; (vi) updating the schedule in the contact center based on the change in agents activities of each edge in the yielded path in the updated-schedule-state nodes in the path.

A system is provided.SOLUTION: A system comprising: means for acquiring schedule information of a user; means for analyzing the acquired schedule information to specify a schedule type and a date and time; means for selecting an optimal insurance plan based on the specified schedule; means for notifying the user of the selected insurance plan; means for applying an insurance plan approved by the user to an insurance contract; means for collecting location information and behavior data of the user; and means for analyzing the collected behavior data to specify a situation with a high loss risk.SELECTED DRAWING: Figure 1

The application discloses a task scheduling method and device for reducing power consumption of an Internet of Things device, electronic equipment and a storage medium. The method comprises the following steps: obtaining a timing start WiFi timetable and a task list in a local cache; reading the timing start WiFi timetable to generate a plurality of WiFi start time points; when each WiFi start time point is reached, the task list is analyzed to obtain a current to-be-executed task; a WiFi module is started and a connection with a task data platform is established; a data request containing task information of the to-be-executed task is sent to the task data platform, so that the task data platform feeds back task data corresponding to the current to-be-executed task after receiving the data request; the task data is received, and the WiFi module is turned off after the task data is received; and the current to-be-executed task is executed according to the task data. Through implementation of the application, the power consumption of the device can be reduced, and the endurance time of the Internet of Things device can be prolonged.