40 results about "Time changes" patented technology

A method of determining the maximum timing change (MTC) based on subcarrier spacing (SCS) configuration for UE measurement and reporting of a neighbor cell in 5 GS is proposed. During measurement procedure, UE first checks whether a neighbor cell has been detectable at least for the time period Tidentity, and becomes undetectable for a period ≤5 seconds, and then the cell becomes detectable again. UE then determines the MTC of the cell according to the SCS configuration of the cell. If the timing change of the cell is <MTC, UE reports the measurement report less than a first period (T1) after the measurement event is triggered. Otherwise, if the timing change of the cell is >MTC, UE reports the event triggered measurement reporting less than a second period (T2) after the measurement event is triggered.

The invention discloses a scene generation method, system and device based on time sequence change characteristics and a medium. The method comprises the steps of obtaining load data, distributed photovoltaic output data and conditional variables; extracting the characteristics of the load and the distributed photovoltaic cluster output in the time dimension and the space dimension through a spatial-temporal characteristic extraction mechanism; inputting features extracted in the spatial-temporal feature extraction mechanism into a double-discriminator model, and forming preliminary generated sample data through training iteration of the double-discriminator model; and based on the preliminarily generated sample data, optimizing a loss function of the discriminator by introducing a distance metric function and adding gradient penalty to obtain a load and distributed photovoltaic output scene. According to the method, the problem that the power grid regulation and control difficulty is increased due to the fact that the permeability of distributed photovoltaic in the power distribution network is improved is solved, and scene data support is provided for accurate dispatching of the power distribution network.

The "configurator" is logically located between a control mechanism of the machine and an actuator of the machine. A configurator (e.g., which may be a separate hardware element or a method running on a computer processor) receives an output signal from a control mechanism. Or these output signals contain a rate of change over time of the control mechanism, or the configurator calculates the rate of change over time of the control mechanism by analyzing a plurality of control output signals. The configurator then changes the response speed value of the actuator based on the rate of change over time of the control mechanism, and sends a command to the actuator based on its modified response speed. The actuator is responsive to the command to change an aspect of the behavior of the machine.

Methods, apparatuses, and computer programs for timing enhancements for integrated access and backhaul nodes are disclosed. One method includes receiving a control element used to determine a timing pattern and / or associated timing information for an integrated access and backhaul node; determining, based on the control element, a timing pattern and / or associated timing information for the integrated access and backhaul node; and applying the timing pattern and / or associated timing information to a subsequent uplink transmission for the integrated access and backhaul node.

The invention relates to the technical field of resource monitoring, in particular to a resource monitoring method and device, equipment and a medium, and the method comprises the steps: obtaining first resource change data of a continuous time period of a monitoring virtual machine; determining a virtual machine type of the monitoring virtual machine; according to the virtual machine type of the monitoring virtual machine and the first resource change data, utilizing a large model to predict second resource change data of the monitoring virtual machine in a future time period; and determining alarm information according to the second resource change data and a preset resource utilization rate threshold. The relationship of the resource use condition of the platform along with the time change is predicted through a large model, if the predicted second resource change data exceeds the corresponding use rate threshold value, it is indicated that the platform may be abnormal at the moment when the use rate threshold value is exceeded in the future, and alarm information is generated to warn technicians, so that the technicians can be alarmed in time, and the service life of the technicians is prolonged. Platform faults are reduced, and the reliability of platform operation is guaranteed.

Method for measuring a temperature change (TINC) in a cable (K) of a vehicle, wherein the cable (K) connects at least two control units (A and B) of the vehicle, the cable (K) is configured at least to transmit signals between the control units (A, B), and each control unit (A, B) includes a crystal for time measurement, wherein this time measurement is configured to determine a hardware time of the control unit (A, B), where It is taken into account that a temperature change (TINC) of the cable (K) slows down the transmission of the signals carried through the cable (K), and To measure the temperature change (TINC), a measurement of the transit time change of at least one signal between the control units (A and B) is carried out, whereby a. To synchronize the hardware times of two control units (A and B), an Ethernet-based time synchronization protocol is used, in which one control unit (A, B) is a master and the other control unit (B, A) is a slave, the hardware time of the slave (B, A) is synchronized with the hardware time of the master (A, B), and to distinguish whether measured values ​​obtained from the measurement originate from the crystal of at least one control unit (A, B) or have resulted from the temperature change (TINC) of the cable (K), control unit (A) and control unit (B) each assume the role of master (A, B) once during one execution of the steps specified by the time synchronization protocol, thus the measurement is carried out in two configurations, while the other control unit (B, A) assumes the role of slave.and a delay in the arrival of the messages in both constellations is used to infer the temperature increase (TINC) of the cable (K) and / or , b. To detect an average temperature change (TINC), a number N of sets, each with at least one measured value, are compared, wherein at least a part of the time window during which the measured values ​​were obtained is divided into N intervals, and each measured value of an i set from the N sets was obtained at a time point which lies in the i interval of the considered part of the time window, a point representative of the measured values ​​of each of the N sets is determined, these points are arranged such that the representative point of set i is positioned on a time axis before the representative point of set i+1, and an average temporal change of temperature (TINC) is determined from this and / or c. a temperature-changing control unit (A, B) can be inferred from the knowledge of a cable routing in the vehicle and from the knowledge of the temperature change (TINC) in at least one cable (K) whose cable routing is known.

This control system comprises: a model creation unit which, through machine learning using a time series of indoor temperature in a setting place of an air conditioner, a time series of outdoor temperature or prescribed outdoor temperature, and a time series of information indicating the operation state of the air conditioner as training data, creates a trained machine learning model to which the initial value of the indoor temperature, the time series of the outdoor temperature or the prescribed outdoor temperature, and the time series of said information are inputted as input data and from which a change in the indoor temperature resulting from the operation of the air conditioner or a time based on the change is obtained; an accumulation unit which accumulates, as an actual result time series, a time series of actual result values of the indoor temperature, a time series of actual result values of the outdoor temperature or actual result values of the prescribed outdoor temperature, and a time series of actual result values of said information; and a determination unit which determines whether or not to perform prescribed notification by using a first trained machine learning model, which is created using an actual result time series accumulated in a first period as training data, and part or all of an actual result time series accumulated in a second period subsequent to the first period.

The invention discloses a method and a device for determining a reporting strategy, a storage medium and an electronic device, and relates to the technical field of smart home. Determining a first time interval between a first report time of a second change event corresponding to any device and a first time for triggering the first change event, a first report frequency and a first device state of any device at the first time, the first change event being used for indicating an event in which device parameters of any device at the first time change; the second change event is used for indicating the change event reported last time by any equipment before the first time, and the first reporting frequency is the reporting frequency of change events corresponding to multiple pieces of equipment in a first time window corresponding to the first time; and determining a target reporting strategy of the first change event based on the first time interval and / or a target parameter, wherein the target parameter comprises one of the following: a first reporting frequency and a first equipment state.

A “configurator” sits logically between a control mechanism of a machine and an actuator of the machine. The configurator (which may, for example, be a separate hardware element or a method running on a computer processor) receives output signals from the control mechanism. Either those output signals contain a time-rate-of-change of the control mechanism or the configurator calculates the time-rate-of-change of the control mechanism by analyzing multiple control output signals. The configurator then alters a speed-of-response value of the actuator based on the control mechanism's time-rate-of-change and sends commands to the actuator based on its revised speed-of-response. The actuator responds to the commands to alter an aspect of the machine's behavior.

The invention discloses an incremental updating method, system and device based on real-time change detection and a medium. Comprising the steps that a binary log Binlog of a database is monitored, a DDL operation statement of the database is obtained in real time, and the DDL operation statement is analyzed to generate a field change event; based on the field change event, creating and executing an incremental scanning task for the change field; determining a database name, a table name and a field name in the field change event and an operation timestamp associated with the field change event as retrieval keywords, and retrieving a change approval work order within a preset time range before and after the operation timestamp in a change management system to obtain a change approval work order associated with a change field; and determining the semantic relevancy between the field sensitive type in the classification and grading result and the application reason text recorded in the change approval work order, and if the semantic relevancy reaches a preset relevancy threshold, automatically confirming the classification and grading result. The data security of the sensitive data can be improved.

The invention provides a method for recording electric quantity data, a monitoring device, a medium and a program product, the method is applied to the monitoring device, and the method comprises the following steps: acquiring collected electric quantity data and clock information; and determining the current time change condition, when the date advances, traversing the summarized date until the corresponding advancement date or a date earlier than the advancement date is found, caching the accumulated electric quantity data corresponding to the latest recorded date in the summarized daily electric quantity storage area into a bypass cache area, and storing the accumulated electric quantity data in the summarized daily electric quantity storage area. Writing the forward date as a current date into a today electric quantity storage area, and writing a chain table address corresponding to the found date into the today electric quantity storage area; and when the date is shifted backwards again, accumulating the today accumulated electric quantity and the accumulated electric quantity data stored in the bypass cache region, and recording the accumulated electric quantity in a summarized daily electric quantity storage region. By means of the technical scheme, the influence of time change on the electric quantity data accumulative recording is avoided, and meanwhile high-frequency electric quantity accumulative recording is achieved.

The invention provides a demand response system and method between a virtual power plant and an aggregator based on predetermined time stabilization. Firstly, a total cost function is constructed based on the output power of each aggregator, and a cost function is obtained through derivation. Thirdly, designing a first power change rate and a second power change rate which change along with time based on the Lyapunov theory, and adding the first power change rate and the second power change rate to obtain a total power change rate; each aggregator adjusts the output power according to the first power change rate; within the first response time, the total power is quickly tracked to a virtual power plant demand value through the first power change rate; and in the subsequent second response time, the cost functions of the aggregators are coordinated to tend to be consistent through the second power change rate, so that the total regulation and control cost is minimized, and the total power is maintained to be constant at the same time. According to the method, the regulation and control time, the aggregator regulation and control cost, the power response capability and the total power demand matching factor are comprehensively considered, so that each aggregator realizes the power demand response of the virtual power plant within the preset time.

To collect data for predicting remaining life in a process where a robot is operated by executing a program for actual work.SOLUTION: An operating state of a robot is determined, and an operating-state time being a time during which the operating state continues is measured. A basic-data acquisition count is calculated by dividing the operating-state time by a basic-data upper-limit length. From position time-series data of each axis corresponding to the operating-state time, basic data are acquired by the basic-data acquisition count. When the position time-series data of each axis that are repeatedly reproduced match the basic data, time-series data of state signals of each axis reflecting a state of the robot in a matched time section are acquired. An evaluation value is calculated from the time-series data. A trend line representing a tendency in which the evaluation value changes over time is created, and a timing at which the trend line reaches a life threshold is obtained as a predicted life timing.SELECTED DRAWING: Figure 6

Method for determining a reliability R of a technical system, comprising the steps: S1 - Recording of at least one operating variable x(t) of the technical system that changes over time t as a time series x1, x2, ..., x N , where N denotes a length of the time series; S2 - Determining a minimum embedding dimension d with which a state space of the technical system can be completely reconstructed; S3 - Determine the reliability of the technical system, at least partly based on the minimum embedding dimension; wherein steps S1 to S3 are carried out during operation of the technical system.

workpiece machining device (100), comprising a sensor unit (120) which, upon detection of the passage of a moving workpiece (W), generates a detection signal (S) D ) outputs, a machining unit (130) which, by activating a machining mechanism (134) in a state in which the workpiece (W) has been moved, performs machining on the workpiece (W) using a specific machining tool (136), and a machining control unit (140) which controls operation of the machining unit (130) based on the detection signal from the sensor unit (120), wherein the processing control unit (140) a main control unit (142) which at intervals of a certain control cycle sends an operating command signal (S) P ) outputs to the processing mechanism (134) of the processing unit (130), a timer unit (144) which provides a detection time (T D ), to which the detection signal (S D) was obtained, in relation to a cycle start time (T) of the control cycle, and a memory (146) which stores various parameters including the detection time (T D ) stores, has, where there is a difference between the control cycle (T) and the detection time (T) D ) is defined as a reaction delay time, and the main control unit (142) the operating command signal (S P ) based on the reaction delay time (T-T D ) changes.

The embodiment of the invention provides a robot running speed real-time adjusting method and device and a storage medium, and belongs to the technical field of robot control. The method comprises the steps of determining a speed change step pitch of each instruction issuing period according to a speed change operation duration and a speed change model of each instruction issuing period in a speed change process so as to determine a track change duration corresponding to each instruction issuing period in the speed change process; the speed change model represents a smooth speed curve of a speed change amount from an initial speed when the speed change adjustment request is executed to a target speed expected to be reached by the speed change adjustment request along with time; according to the trajectory change duration and the corresponding target trajectory segment, a first motion control parameter issued by the target robot in the instruction issuing period is determined, and the first motion control parameter at least comprises a first discrete position point. According to the embodiment of the invention, when the robot initiates online speed regulation through the speed change model, the smoothness of speed change can be further ensured while the robot moves along the original planned track.

1. The name of the design product: baking mode switching graphical user interface for electronic device. 2. The use of the design product: an electronic device. 3. The design points of the design product: the graphical user interface shown in the view. 4. The picture or photo that best indicates the design points: design 1 front view. 5. The design 1 rear view, left view, right view, top view, bottom view is omitted, which belongs to the conventional design; the design 2 rear view, left view, right view, top view, bottom view is omitted, which belongs to the conventional design; the design 3 rear view, left view, right view, top view, bottom view is omitted, which belongs to the conventional design. 6. Design 1 is designated as the basic design. 7. The use of the graphical user interface: to realize the interactive interface. 8. The change state of the graphical user interface: design 1: after the user starts, enter the design 1 front view, when the user selects Fresh, can choose the toasting time according to personal preference, according to the time change, design 1 interface change state diagram 1 to design 1 interface change state diagram 6 will be displayed, if the user wants to increase the toasting time, can select 3s, 5s, 10s below, according to the time change, design 1 interface change state diagram 7 to design 1 interface change state diagram 9 will be displayed. Design 2: after the user starts, enter the design 2 front view, when the user selects Frozon, can choose the thawing time according to personal preference, according to the time change, design 2 interface change state diagram 1 to design 2 interface change state diagram 6 will be displayed. Design 3: after the user starts, enter the design 3 front view, when the user selects Reheat, the design 3 interface change state diagram will be displayed.

The present disclosure relates to communication methods and apparatuses. In an example method, a terminal device determines that a first duration needs to be obtained, determines the first duration, and determines a timing advance amount based on the first duration, where the timing advance amount is used for communication between the terminal device and a network device. The terminal device may determine the first duration based on a requirement of the terminal device. In addition, the terminal device may also calculate, based on an auxiliary parameter from the network device, the timing advance amount that changes with time.

To provide a time maintaining device that can accurately maintain system time at low cost.SOLUTION: System time generation means generates the time in synchronization with period information generated by an atomic clock as system time. Time information processing means outputs time difference information indicating the difference between the system time and reference time that is the time to be a reference value. Time change function calculation means calculates an approximate function indicating a change in the difference with respect to time on the basis of the time difference information in a predetermined period. Drift adjustment parameter calculation means calculates the value of a drift adjustment parameter by using the approximate function and the drift adjustment parameter before the update of the atomic clock.SELECTED DRAWING: Figure 4

Described are a system, method, and computer program product for real-time change detection. The system includes at least one processor configured to receive transaction data associated with a transaction associated with an entity, and determine an aggregate value based on a portion of the transaction data for the transaction. The at least one processor is also configured to generate a predicted aggregate value for the entity by inputting historic transaction data associated with a plurality of historic transactions associated with the entity to a machine learning model. The at least one processor is further configured to determine a deviation of the aggregate value from the predicted aggregate value, and compare the deviation to a dynamic threshold associated with the entity. The at least one processor is further configured to, in response to determining that the deviation satisfies the dynamic threshold, trigger a risk mitigation process associated with the entity.

A method for of validating the identity of one of more component(s) in a substance including: obtaining a substance; placing the substance in a plenum with a sealed bottom; exposing the substance to a perturbation; digitally recoding the time-dependent changes in the substance after exposing the substance to the perturbation; producing a chronological fingerprint of the changes, where the chronological fingerprint is a digital multi-dimensional image of the changes as a function of time; and comparing the chronological fingerprint to chronological fingerprints for known substances to validate the one or more component(s) in the substance being measured. Also described are associated systems and computer program products for implementing the method.

The embodiment of the application provides a kind of multiple interrupter delay compensation system and method, including the cloud platform being connected with user end communication;Cloud platform is configured to send parameter acquisition instruction to multiple interrupters being connected with cloud platform based on the configuration information sent by user end;Multiple interrupters, interrupter is configured to correct current delay compensation based on parameter acquisition instruction, so that the time reference of interrupter under the operating parameter after correction is consistent with the time reference of the rest interrupters;Send equipment information to cloud platform based on operating parameter after correction;Equipment information includes compensation value, equipment temperature and power supply voltage.The application compares the output time of interrupter with the time when the instruction is issued, and accurately calculates the real-time changing delay parameter of the device itself.Subsequently, the system will issue the instruction in advance for a corresponding period in the subsequent working period, and the originally uncontrollable hardware delay will be offset to zero.

The embodiment of the invention provides a case allocation method based on dynamic priority and a related device, and relates to the technical field of computers. The method comprises the following steps: adjusting the number of cases allowed to enter the system in unit time according to the current allowed rate of the system; the index value of each to-be-audited case entering the system under each evaluation dimension is obtained, the dynamic weight of each evaluation dimension is obtained, and the dynamic weight of each evaluation dimension is dynamically updated through reinforcement learning with maximized revenue and processing efficiency after risk adjustment as target functions; and calculating a priority score of each to-be-audited case based on the dynamic weight of each evaluation dimension and each index value of each to-be-audited case, and allocating each to-be-audited case according to the priority score of each to-be-audited case. Thus, the fundamental defects that in the prior art, queue management is static, and real-time changes cannot be responded are overcome, the problems of resource waste and risk improvement are avoided, and accurate distribution of cases is achieved.

A “configurator” sits logically between a control mechanism of a machine and an actuator of the machine. The configurator (which may, for example, be a separate hardware element or a method running on a computer processor) receives output signals from the control mechanism. Either those output signals contain a time-rate-of-change of the control mechanism or the configurator calculates the time-rate-of-change of the control mechanism by analyzing multiple control output signals. The configurator then alters a speed-of-response value of the actuator based on the control mechanism's time-rate-of-change and sends commands to the actuator based on its revised speed-of-response. The actuator responds to the commands to alter an aspect of the machine's behavior.

Synchronization device (1), comprising: a machine data acquisition unit (11) for acquiring time series information about the drive of a machine (15) as machine data, which is information that is acquired at a time specified by initial time information; a measurement data acquisition unit (12) for acquiring time series information about a state of the machine (15) as measurement data, which is information that includes the intensity of a noise or vibration and is acquired at a time specified by second time information that differs from the first time information; a correlation calculation unit (13) for calculating a correlation time difference, which is a time difference when the strength of the correlation between an absolute value of the machine data and a frequency component of the measurement data is at its maximum, based on the machine data, the measurement data and a time difference when one of the machine data and the measurement data is offset in a positive or negative direction of a time axis; and an output unit (14) for synchronized data for outputting the machine data synchronized with the measurement data based on the correlation time difference as synchronized machine data and for outputting the measurement data synchronized with the machine data based on the correlation time difference as synchronized measurement data, wherein the correlation calculation unit (33) includes a peak extraction unit (337) to obtain from the measurement data a frequency at which a frequency spectrum of the measurement data exhibits peak values, and The strength of the correlation is calculated based on a temporal change in a frequency component where the frequency spectrum of the measurement data shows peak values, and the machine data.

The application discloses a template triggering method based on a dynamic template, determines a change parameter according to the type of a to-be-tested signal, sets a maximum limit template and a minimum limit template according to the maximum value and the minimum value of the change parameter, respectively uses the maximum limit template and the minimum limit template to perform a pass-fail test on a to-be-triggered signal, obtains a maximum limit starting moment, a minimum limit starting moment and a change period interval, initializes a template starting moment, collects the signal, then calculates and adjusts a proportion parameter according to a data collection moment, further updates a triggering template parameter, and uses the updated triggering template to trigger and judge the collected data; if the triggering is successful, the triggering is stopped, otherwise, the data is continuously collected and the triggering template is updated. According to the time change characteristics of the to-be-tested signal parameter, the triggering template is adjusted, so that the change and the need of the signal are adapted, and more flexible and fine signal triggering is realized.

To improve noise removal performance.SOLUTION: An autoencoder is trained so that, with a plurality of pieces of data including a change with the lapse of time and including noise as training data, its output when data of reference timing and information on the lapse of time are input thereto is closer to data of timing corresponding to the information on the lapse of time. An information processing apparatus predicts the output from the autoencoder when the data of the reference timing and information indicating the reference timing as the information on the lapse of time are input thereto, as noiseless data corresponding to the inputted data of the reference timing.SELECTED DRAWING: Figure 2