18results about How to "Improve feedback efficiency" patented technology

The invention discloses a light-weight government affair questionnaire intelligent touch and analysis system and method based on a fusion message, and the system comprises an integrated message application platform operation interface which is used for the submission, application, strategy definition and transmission of a customer message; the questionnaire engine is used for generating questionnaires, issuing strategies and performing multi-dimensional statistical analysis on questionnaire results; the intelligent message scheduling engine is used for realizing AI generation of rich media messages, multi-channel intelligent reach distribution, optimal reach mode selection and summary analysis of reach mode results; and the electronic fence data engine is used for processing operator real-time signaling big data and capturing operator numbers and accurate touch short messages in a specified range. An efficient and convenient short message creation and auditing mechanism, flexible and diversified questionnaire construction, intelligent rich media message generation, accurate regional orientation and audience access, intelligent distribution, high interactivity, comprehensive and deep data analysis and report generation can be realized.

Disclosed are a texture sampler and a method for implementing texture feedback. The texture sampler includes a texture address processing module and a texture filtering module. The texture address processing module samples at least one group of texels in a level of a texture associated with a pixel, each group of texels includes at least one texel. The texture address processing module transmits the level information and coordinate information of the at least one group of texels to the texture filtering module. The texture filtering module counts the area of ​​the statistical block size in the texture space each time. The texture filtering module obtains the starting point of one group of the at least one group of texels each time when counting, so that the statistical block has the same starting point as the corresponding group of texels and the group of texels is included in the statistical block size. The texture filtering module performs at least one statistics, and each time the statistics returns which alignment block the starting point of the statistical block is located in and the position offset of the starting point of the statistical block relative to the starting point of the alignment block in which it is located. The alignment blocks are densely aligned in a manner of filling the texture space.

The invention relates to the technical field of power distribution network power dispatching, and discloses a digital twinborn intelligent optimization dispatching system and method, which dynamically and accurately counts real-time power dispatching total power load parameters of a target power distribution network line power distribution end according to real-time demand power load parameters of a power distribution network user end in combination with numerical analysis. The power management platform is combined to efficiently and autonomously execute power dispatching operation of the power distribution end of the power distribution network; and according to the spatial three-dimensional model parameters of the overall line of the power distribution network, the power dispatching parameters and the three-dimensional model combination parameters of the power distribution terminal, and the power load parameters and the three-dimensional model combination parameters of the user terminal, carrying out dynamic matching on the power dispatching electrical variables of the power distribution terminal and the user terminal in the power distribution network line and the power distribution network line. The digital twinborn full-scene accurate matching of the power dispatching parameters and the power dispatching objects of the power distribution network is realized, and the scientificity and the intelligence of the power dispatching operation are improved.

The invention relates to the technical field of electricity consumption abnormity monitoring of household AC distribution lines, and discloses a user side electricity consumption abnormity monitoring system and method based on machine learning, and the system comprises a user side electricity consumption abnormity analysis module, a user side electricity consumption abnormity object analysis module, and a user side electricity consumption abnormity feedback module. Based on the instantaneous power consumption parameter of the power consumption object of the power distribution line, combining with an intelligent search algorithm and a scientifically preset instantaneous rated power consumption parameter of the power consumption object of the power distribution line, accurately identifying the power consumption abnormal state of the power consumption object of the power distribution line of the user side; and according to the power consumption abnormal state identification parameters of the power consumption object of the power distribution line, combining a machine learning intelligent algorithm with the standard stored power consumption object identity text information of the power distribution line, carrying out efficient search on the identity information of the power consumption abnormal state object in the power distribution line of the user side, and realizing intelligent monitoring on the power consumption equipment of the power consumption abnormal state of the user side.

The invention belongs to the technical field of visual training, and discloses an automatic training device combining a flip mirror and a visual card, which comprises a starting module, a camera module, a judgment module, a calculation module, an identification module and a statistics module. Whether a user sees the sighting mark clearly or not can be conveniently determined through the computer, and auxiliary personnel are not needed; the computer can be used for conveniently determining the time consumed by the user to use the positive and negative lenses and see the sighting mark clearly; the display scheme of the next sighting mark is dynamically and flexibly adjusted according to the observation result of the user on the sighting mark; the improvement degree can be conveniently observed and a treatment scheme can be conveniently revised by utilizing statistical data of a computer; the stickiness of the reverse racket used by a user is improved, especially for a child user.

This invention discloses a method and system for optimizing blasting effects in open-pit mines based on video target recognition, belonging to the fields of mining and image or video recognition. The method includes: acquiring digital borehole design data and blasting design parameters for the target blasting area; collecting video data from before to the end of blasting using a drone; extracting video frames before blasting and identifying unblasted boreholes using a first target detection model; determining the borehole number of each unblasted borehole; extracting the video sequence after blasting, identifying punching targets using a second target detection model, and determining the trajectory of the punching targets using a multi-target tracking algorithm; matching the positions of the punching targets with the unblasted boreholes whose numbers have been matched to determine the borehole number of each punching target; acquiring the actual coordinates, actual hole depth, blasting design parameters, and punching event feature parameters for each punching target; and obtaining the borehole diagnosis result based on a preset diagnostic rule base. This invention can efficiently and accurately diagnose and optimize blasting effects.

The invention discloses a configuration indication method, device and system and a computer readable storage medium, and relates to the technical field of wireless communication. The configuration indication method comprises: a base station sending a bitmap to a terminal, each of at least part of bits in the bitmap corresponding to a sub-configuration of channel state information reporting configuration, the bitmap being used for indicating a triggered sub-configuration for channel measurement. According to the embodiment of the invention, when a base station selects and indicates a plurality of resources, triggering of one or more sub-configurations can be indicated at one time in a bitmap mode, the complexity and the network overhead of measuring reference signals by a terminal are reduced, and the flexibility and the reliability of parameter configuration and the CSI feedback efficiency are improved. According to the embodiment of the invention, indication and selection of a plurality of sub-configurations can be realized, for example, the method is applicable to the condition of flexibly selecting antenna port turn-off and transmitting power.

The invention discloses an intelligent driving obstacle target detection method based on a millimeter-wave radar, and the method comprises the steps: carrying out the feature extraction of a convolutional neural network algorithm innovation based on twin grey wolf optimization, carrying out the feature dimension reduction of a self-encoding neural network algorithm based on manifold learning, and carrying out the classification algorithm of a support vector machine based on hierarchical reinforcement learning. A learning process classifier model training method is improved through a dynamic forgetting factor, the analysis capability of radar signals is improved, the adaptability and robustness of the model to a complex environment are enhanced, and more accurate and more reliable obstacle recognition can be realized, so that an intelligent driving system can recognize and respond to various traffic participants and obstacles in real time, and the intelligent driving system is more accurate and reliable. And powerful support is provided for ensuring driving safety and efficiency.

The application provides a control device and method of a printing device and the printing device, and relates to the control technology of a buzzer when a printer is started. The control device comprises an SOC master control unit, a sounding unit and an MCU control unit for receiving a power-on signal. The SOC master control unit is connected with the MCU control unit, the MCU control unit is connected with the sounding unit, and the SOC master control unit and the MCU control unit are respectively connected with a power supply. The MCU control unit is used to output a power-on signal to the SOC master control unit and the connected power supply to start the printing device if the power-on signal is obtained when the SOC master control unit is in a power-off state, and control the sounding unit to emit a prompt sound. According to the embodiment of the application, the power supply of the SOC master control unit is turned on by the MCU control unit, the SOC master control unit is powered on to initialize and start the printing device at the same time, and the sounding unit can emit a prompt sound in time, so that the response speed of the sounding unit to emit a prompt sound is improved.

This application relates to the field of artificial intelligence technology, and provides an intelligent question answering method, apparatus, and related equipment based on the BERT model. The method includes: responding to a received intelligent question answering request, obtaining a target question identified by aggregation operations and an association table of the target question; obtaining a first word embedding vector of the target question; obtaining a second word embedding vector of the association table; concatenating the first word embedding vector and the second word embedding vector to obtain a third word embedding vector; inputting the third word embedding vector into a pre-trained BERT model, and outputting the probability value of each aggregation operation and the probability value of each cell in the association table; and obtaining the answer to the target question based on the probability values ​​of multiple aggregation operations and the probability values ​​of multiple cells. This application improves the feedback efficiency of intelligent question answering by inputting the third word embedding vector into a pre-trained BERT model to obtain the answer to the target question.

The invention provides a report generation method and device, equipment, a medium and a program product, which can be applied to the technical fields of communication and finance. The method comprises the steps that in response to a received report generation instruction sent by a user, a report generation task corresponding to the report generation instruction is determined, and the report generation task comprises a plurality of report generation sub-tasks; a plurality of report generation sub-tasks are processed through a plurality of threads in the thread pool, target data are processed according to the report generation sub-tasks for each report generation sub-task, report sub-results are obtained, and the target data are obtained from target databases corresponding to the report generation sub-tasks according to the report generation sub-tasks; determining the display content of the report sub-result on the front-end page; updating the front-end page based on the display content; and after the plurality of report generation subtasks finish updating the front-end page, determining the report based on the front-end page.

The invention relates to the technical field of a non-electric variable regulating system, and discloses a linear guide rail grinding precision regulating system and method, comprising a linear guide rail grinding parameter acquisition module, a linear guide rail grinding result analysis module, and a linear guide rail grinding regulating module; by adopting a dimension measuring device to dynamically collect the actual dimension parameters of a single grinding process of a linear guide rail outer surface, and accurately evaluating the single grinding process state analysis parameters of the linear guide rail outer surface, standardized collection of the real dimension and real state of the linear guide rail grinding process is achieved; scientifically measuring the single grinding process error dimension parameters of the linear guide rail outer surface, and dynamically constructing the single grinding feed adjustment parameters of the linear guide rail outer surface grinding process, intelligent and efficient generation of the linear guide rail grinding process dimension error and adjustment dimension parameters is achieved, and the precision and quality of the linear guide rail grinding process is improved.

The utility model provides a chain type sensing mechanism which comprises a mounting seat and a sensing assembly, and the sensing assembly comprises a trigger seat and a sensing element. The sensing element is arranged at the side position of the trigger seat and can capture an action signal of rotation of the trigger seat; one end of the trigger seat is connected with a chain, the other end of the trigger seat is hinged to the mounting seat, and an elastic part is arranged between the trigger seat and the mounting seat; a chain is connected to a triggering seat in a sensing assembly, and the characteristics that the chain is tightened after being stressed and loosened after being unloaded are utilized, so that the triggering seat in the sensing assembly can quickly respond to an external force change signal on the chain, and the external force change signal on the chain is converted into a rotating action signal to quickly trigger a sensing element; therefore, the change condition of the external force on the chain can be fed back in time through the triggering state of the sensing element, the time for confirming the stress condition of the chain is saved, and the feedback efficiency of the stress change of the chain is improved.

The present application discloses an artificial intelligence-based construction site monitoring system, which relates to the technical field of safety identification systems and solves the technical problem that the working status of staff members and some other dangerous situations in the construction area are not fully considered for identification, resulting in low efficiency of safety monitoring of the construction area; a number of project labels are obtained by inputting the preprocessed monitoring image into a label recognition model; an image anomaly coefficient corresponding to the monitoring image is generated according to the project label; a work alarm signal is generated according to the image anomaly coefficient; an environmental anomaly coefficient is generated according to the preprocessed monitoring data; an environmental anomaly alarm signal is generated according to the environmental anomaly coefficient; monitoring videos and monitoring data are packaged and uploaded according to the image anomaly coefficient and the environmental anomaly coefficient, thereby increasing the working status of personnel monitoring the construction site, dynamically adjusting the content size and upload time of the data packet, and improving the efficiency of safety monitoring in the construction area and the feedback efficiency in emergency situations.

The embodiment of the invention provides a request allocation method and device for a network-on-chip, electronic equipment and a storage medium, and relates to the technical field of computers. The method comprises the following steps: grouping a plurality of resource requests received at the same moment according to priorities to obtain a plurality of resource request groups; one resource request group comprises a plurality of resource requests with the same priority, and the priorities of the resource requests in different resource request groups are different; establishing a wavefront allocation model for the resources of the network-on-chip and the plurality of resource requests; and according to a sequence of the priorities from high to low, on the basis of a wavefront allocation model, sequentially allocating network-on-chip resources to each resource request group. The wavefront model is more targeted, so that the accuracy is higher, the resource allocation of the resource request based on the allocation model has higher accuracy, and the resource conflict of the network-on-chip can be reduced.

The embodiment of the invention is applied to the technical field of electronics, and provides an exception handling method, electronic equipment and a server. And in response to a feedback operation of the user for the application flash quit exception, the electronic equipment obtains the target log file. Wherein the target log file is a log file generated by a target third-party application, and the target third-party application is a third-party application in the electronic equipment where the application flash quit exception occurs. And then, the electronic equipment sends the target log file to a server. And then, the electronic equipment receives an abnormal positioning result sent by the server. Wherein the exception positioning result is obtained based on analysis of the target log file. And then, the electronic equipment executes a result feedback operation according to the abnormal positioning result. Wherein the result feedback operation comprises the step of feeding back the reason of the application flash quit exception. According to the method and the device, the flash quit problem can be quickly positioned, and the user is timely informed of the reason of the flash quit abnormity.

The invention relates to the technical field of battery charging circuits, in particular to a mining explosion-proof lithium battery intelligent charging system based on an IGBT (Insulated Gate Bipolar Translator) power module, which comprises a junction temperature change detection module, a duty ratio sectional control module, a conduction channel constraint module, a voltage channel correction module and a driving instruction integration module. According to the invention, a control rhythm type is constructed based on a temperature change trend in an on-off period, a rhythm sequence is formed through category screening, a duty ratio structure is established through a serial number associated rhythm time sequence, a concentrated section is extracted in combination with current peak distribution to limit a conduction boundary, and a voltage output rhythm is set according to a rhythm bit sequence. A phase difference is extracted through a waveform structure to form an offset reference, and control parameters are fused and output with rhythm switching identifiers in a ratio alternating sequence to form a rhythm control flow adapted to load changes, so that the feedback efficiency and process stability of charging adjustment are improved, and the response capability of a power device and the rhythm matching degree of a system are effectively enhanced.

This invention relates to the field of Internet technology and discloses a method, device, storage medium, and apparatus for detecting application lag. The method includes: when application lag is detected, recording an operation video of the application and collecting target information of the application; sending the operation video and target information to a detection terminal corresponding to the application; and receiving lag detection results from the detection terminal based on the operation video and target information. Because this invention automatically records the operation video of the application, collects the target information of the application, and sends the operation video and target information to the detection terminal corresponding to the application when application lag is detected, it can improve the efficiency of problem feedback and enhance the user experience.