44 results about "Data input" patented technology

A vehicle on-board unit is configured and arranged to report an estimated time of arrival and an accuracy indicator for an estimated time of arrival from historical estimated time of arrival information. The vehicle on-board unit basically has a destination input section, a historical data input section and an estimated time of arrival reporting section. The destination input section is used to enter a destination point. The historical data input section provides historical estimated time of arrival information based on a plurality of actual motorist travel times to the destination point. The estimated time of arrival reporting section reports to a user an estimated time of arrival and an accuracy indicator for the estimated time of arrival from the historical estimated time of arrival information.

The invention provides a method and electronic equipment for loading effects in an instant video, and belongs to the field of videos. The method comprises the following steps: receiving effect data input by a user, wherein the effect data is used for indicating the effect which needs to be loaded by the user; determining the loading position input by the user in an instant video image; sending the loaded position and the effect data to other electronic equipment; loading the effect to the loading position, and showing the instant video after the effect is loaded; therefore, the effect input by the user is loaded to the instant video, the diversified requirements of the user on instant video communication are satisfied, and the interaction experience of the user is improved.

An input apparatus allowing the improved operability of data entry without noticeable volume changes of a portable device itself and further allowing easy entry of a positional coordinate, a curve, and the like is disclosed. The input apparatus is detachably coupled to the portable device and is provided with a coordinate information generator for generating coordinate information depending on a movement on a flat surface to control a position of a cursor on a display of the portable device. Therefore, the input apparatus is removed from the portable device and the singly input apparatus can output coordinate information to the portable device by sliding it on a desk. The input apparatus preferably incorporates a battery for supplying power to the portable device when the input apparatus is coupled to the portable device.

Disclosed is a method for providing a chat service using a client bot and an apparatus for performing the method. The method for providing a chat service may comprise the steps of: transferring, to a server, input data input into a chat room in which a client bot of a specific group participates; receiving, from the server, group data for the specific group that are processed by the client bot according to the input data; and displaying the received group data.

An object of the invention is to provide a liquid crystal device that can produce a display and allow data input thereon with a simple configuration. The liquid crystal device includes a liquid crystal layer provided between first and second substrates, and a capacitive sensor electrode, which is not provided with a counter electrode, and a segment electrode for driving a liquid crystal, both formed on the first or second substrate at a side thereof that faces the liquid crystal layer.

Methods and systems route requests for service in a call center. A non-transitory computer-readable medium stores data representative of a queue of customers waiting to be serviced. A processor queues a request for service initiated by a customer. Data output is sent to the customer to ascertain the customer's cause for the request via a data communication channel. Data input is received from the customer via the data communication channel. The data input indicates the customer's cause for the request. An agent is identified from a plurality of agents suitable to address the customer's cause for the request. The customer's position is adjusted in the queue based on the identified agent. A routing instruction is determined about routing the request to the identified agent.

The invention relates to a method and device for recovering oversampling parallel data. The method for recovering the oversampling parallel data comprises the following steps: carrying out pairwise exclusive-OR operation on all the data of a current clock period of oversampling parallel data and the last data of a previous clock period so as to obtain the jumping edge signal value of the oversampling parallel data of the current clock period; issuing the effective data bit indication of the current clock period according to the jumping edge signal value; and outputting the effective data of the oversampling parallel data of the current clock period according to the oversampling parallel data input by the current clock period and the effective data bit indication. According to the method and device which are disclosed by the invention, the data recovery of oversampling parallel data with wider bit can be simply carried out with high efficiency.

The invention discloses a track circuit fault automatic diagnosis method based on a deep convolutional neural network, and the method comprises the steps: firstly obtaining the real-time change data of a track circuit, building a track circuit fault type data set, and dividing the data set into a training sample and a test sample; secondly, establishing a one-dimensional deep convolutional neuralnetwork, inputting the training set sample to train a network model, and evaluating the accuracy of the network model through a test sample to obtain a trained one-dimensional deep convolutional neural network model; and finally, inputting the real-time change data of the track circuit into the trained deep convolutional neural network model, establishing a mapping relationship between input and output through a neural network, outputting a fault type, and positioning a fault position. According to the method, the fault diagnosis efficiency and accuracy of the track circuit can be improved, field maintenance personnel can quickly process faults, and the maintenance and repair efficiency and the intelligent level of the track circuit are improved.

The embodiment of the invention provides a training method for a mixed speech recognition model of mandarin and Sichuan. The method comprises the steps of determining features of mixed training audiodata, and determining the features as input data for training based on phoneme-based data alignment and Chinese character-based data alignment; inputting to N common intermediate layers, calculating afirst loss function by a first task layer, and calculating a second loss function by a second task layer; training N layers of first task layers based on the first loss function, training N layers ofsecond task layers based on the second loss function, performing multi-task training based on the trained first neural network parameters and the trained second neural network parameters, and training N layers of common intermediate layers. The embodiment of the invention further provides a training system for the mixed speech recognition model of mandarin and Sichuan. According to the embodimentof the invention, phonemes and Chinese characters are used as tasks of multi-task joint training, so that the recognition performance of mandarin and Sichuan talks is improved, and the resource occupation is reduced.

The invention discloses an implementation method for integrated linkage of power grid risks, equipment risks and operation risks and relates to the field of power grid application system service interaction techniques. According to the invention, through establishing linkage relations among different service modules of different power grid service sub systems, service dependence among the different service modules is realized, so that linkage of power grid risks, equipment risks and operation risks is realized, a uniform risk control and supervision platform is established and conditions of risk supervision difficulties and information error and omission proneness are avoided. By adopting the method provided by the invention, risk analysis workload of service workers can be reduced effectively, a problem of data input repetition of the service workers is solved, the working efficiency is improved and the risk management cost is reduced.

The invention provides an intelligent household electrical appliance and a control method and system thereof. The method comprises that user attribute data input in a colored touch screen module by auser is obtained; network recipe information is obtained according to the user attribute data, and the network recipe information and preset cooking attribute information corresponding to the networkrecipe information are displayed; whether to set the preset cooking attribute information is determined; if YES, cooking is carried out according to the set cooking attribute information; if NO, cooking is carried out according to the preset cooking attribute information; and after cooking, a recipe name corresponding to the set or preset cooking attribute information is obtained and stored. The user can carry out cooking via a local recipe and the recipe from the network, customized recipe demands of different users can be met, the cooking attribute information can set, cooking is carried outaccording to the set cooking attribute information, storage is carried out after cooking, and a product is more practical.

The invention relates to a subthreshold latch, which comprises a master latch structure and a slave latch structure, wherein the master latch structure and the slave latch structure are provided with two input ends, namely a data input end D and a clock input end clk, and are also provided with an output end Q; the master latch consists of inverters I1, I2 and I3 and complementary metal oxide semiconductor (CMOS) transmission gates T1 and T2; the slave latch consists of inverters I4, I5 and I6 and CMOS transmission gates T3 and T4; one path of the clock input end clk is connected with an inverter I7 and is input to the master latch and the slave latch respectively, and the other path of the clock input end clk is directly input to the master latch and the slave latch; and the transmission gates are arranged in feedback loops of the master latch and the slave latch, so that the subthreshold latch can operate effectively under the condition of subthreshold. The subthreshold latch has high anti-interference capacity, and low power consumption.

The invention discloses a Baudrate evaluation IP core system applied to a serial bus analyzer, and relates to the field of serial bus Baudrate evaluation of a tester system. The system aims at solving the problems that the existing Baudrate evaluation method is low in accuracy, reliability and precision when obtaining the Baudrate. According to the system, the serial bus data signal output end of an AX18-bit memory mapping slave port S8 is connected with the serial bus data signal input end of a data input cache FIFO module; the serial bus data signal output end of the data input cache FIFO module is connected with the serial bus data signal input end of a Baudrate evaluation algorithm core control module; the serial bus data signal output end of the Baudrate evaluation algorithm core control module is connected with the serial bus data signal input end of a data output cache FIFO module; and the data signal output end of the data output cache FIFO module is connected with the data signal input end of the AX18-bit memory mapping slave port S8. The system is used for obtaining the Baudrate.

The invention discloses an unmanned aerial vehicle air combat threat assessment method based on deep learning. The method comprises the following steps: firstly training a support vector machine network structure through a battlefield environment database to achieve the division of different air combat environments, and calibrating the different air combat environments into N modes; then, trainingN deep learning network structures based on a deep belief network by using air combat situation databases in different air combat environments; during evaluation, inputting actual battlefield environment data, and performing environment classification according to the trained support vector machine network, and determining an air combat situation mode in which the unmanned aerial vehicle is located; and finally, inputting the actual air combat situation data into the trained deep belief network in the corresponding mode to perform threat assessment. A double-layer evaluation network mode is adopted, the evaluation accuracy is improved, and a deep learning method is used for pre-training, so the evaluation rapidity is improved, and the threat evaluation problem in the air combat environment of the unmanned aerial vehicle is solved.

The invention belongs to the technical field of streaming data mining, and particularly relates to a large-scale high-dimensional high-speed streaming data online anomaly detection method and system, and the method comprises the steps: employing a matrix sketch model to carry out the processing of a data block transmitted at a high speed, and obtaining a sketch matrix; inputting the sketch matrix into a hash learning model to obtain an optimal model parameter and a feature hash table at the current moment; constructing an abnormal score calculation model according to the optimal model parameters and the feature hash table, inputting to-be-detected sample data into the abnormal score calculation model for detection, and judging whether the sample data is abnormal or not. By adopting the matrix sketch and Hash learning technology, the data scale and the feature dimension can be reduced, the detection speed and the storage efficiency can be improved, and the dynamic change of stream data distribution can be self-adapted by updating the detection model on line; the problem that anomaly detection cannot be efficiently carried out on the streaming data in real time in the current large-scale high-dimensional and high-speed environment is effectively solved.

The embodiment of the invention provides a gray scale user selection method and device. The gray scale user selection method comprises the steps: carrying out the tagging of target user data, and obtaining tagged target user data; and inputting the tagged target user data into a heuristic intelligent decision model pre-constructed according to the sample user data, and selecting a gray scale userfrom the tagged target user data by utilizing the heuristic intelligent decision model. According to the embodiment of the invention, the gray scale user can be accurately selected, and the success probability of gray scale release is improved.

The invention provides an abnormal data detection method and device and a mechanical fault detection method and device, and belongs to the technical field of data processing. The abnormal data detection method comprises the steps of obtaining first training data; constructing a filter, and determining a coefficient of the filter by using the first training data; enabling the first training data topass through a filter to obtain second training data; constructing an anomaly detection model, training the anomaly detection model by using the second training data until the recognition effect of the anomaly detection model reaches the expectation, the input of the anomaly detection model being the second training data, wherein the output of the anomaly detection model is the difference featurevalue between the second training data and the reconstruction data, and the reconstructed data is obtained by reconstructing the second training data by the anomaly detection model; and inputting theto-be-detected data into the filter, and then inputting the to-be-detected data into the anomaly detection model to obtain abnormal data in the to-be-detected data. The method can improve the detection precision of abnormal data.

The invention relates to the technical field of distributed data processing and data acquisition systems, and further discloses a data acquisition intelligent analysis system based on distributed dataprocessing. The system comprises a data input unit, the output end of the data input unit is in signal connection with the input end of a data transmission unit, the output end of the data transmission unit is in signal connection with the input end of a data receiving server, and the output end of the data receiving server is in signal connection with the input end of a data analysis unit. According to the data acquisition intelligent analysis system based on distributed data processing, by arranging a wrong information storage unit, a worker can carry out sampling inspection on the part ofdata during use, the wrong excess data is removed, the redundancy data is avoided when the data transmission is performed so as to improve the transmission speed of data collection, the data collection intelligent analysis system for distributed data processing can better meet the requirements during use, and the practicability of the data collection intelligent analysis system for distributed data processing is improved.

The invention relates to a drilling machine control system and a control method of the drilling machine control system. The drilling machine control system comprises a power supply, a plurality of first switches, a frequency converter, a plurality of motors, a controller, a brake unit, inversion units, a data output device and a data input device, wherein the frequency converter comprises a control end, a circuit input end, a circuit output end, a data input end and a data output end; an output end of the power supply is connected with input ends of the first switches; output ends of the firstswitches are connected with the circuit input end of the frequency converter; the circuit output end of the frequency converter is connected with input ends of the motors; the control end of the frequency converter is connected with the controller and the brake unit; the data output device is connected with the data output end; and the data input device is connected with the data input end. Due to the design, the problems of underpower during pulling back, failure in output power adjustment and low construction precision are solved.

The invention provides a high-speed train demand data processing method and device. The method comprises: acquiring high-speed train demand data input by a user; displaying the high-speed train demand data and corresponding structure tree and classification tree to the user; acquiring the corresponding relation of the high-speed train demand data and the structure tree according to the associated operation of the user on the high-speed train demand data and the structure tree, and acquiring the corresponding relation of the high-speed train demand data and the classification tree according to the associated operation of the user on the high-speed train demand data and the classification; storing the high-speed train demand data, the structure tree and the classification tree correspondingly according to the corresponding relation of the high-speed train demand data and the structure tree and the corresponding relation of the high-speed train demand data and the classification tree. By utilizing the method and the device provided by the invention, the acquisition and normalized processing on the high-speed train demand data are realized, the work load of processing the high-speed train demand data is reduced, and the error rate is reduced at the same time.

A data input buffer in a semiconductor is capable of avoiding operation speed deterioration of the data input buffer due to the temperature condition or process characteristic. The data input buffer in a semiconductor device includes an input detecting unit for detecting logic level of input data by comparing the voltage level of the input data with a reference voltage, a current driving capability adjusting unit for adjusting current driving capability of the input detecting unit based on at least one of temperature condition and process characteristic, and a buffering unit for buffering the output signal from the input detecting unit.

The invention relates to the technical field of medical treatment, in particular to a data management system of blood purification equipment and an operation method thereof. According to the specific implementation scheme, a data input module is used for providing an interface for inputting identity information and associated information of a patient and selecting a treatment mode; the storage module is used for pre-storing identity information and associated information of the patient; the retrieval module is used for retrieving corresponding associated information according to the identity information; and the calculation module is used for calculating configuration parameters corresponding to the treatment mode according to the treatment mode and the retrieved associated information, and displaying the configuration parameters through the data input module. Therefore, a unified data management platform is provided for different patients, informatization management of hospitals for blood purification treatment data is more perfect, and users can check and analyze related data of the patients in real time.

The invention relates to a small-flow network transmission electronic monitoring system, which comprises an installation hood, a video camera and a client terminal, wherein the video camera driven by a horizontal rotary motor and a vertical rotary motor is arranged in the installation hood; a web server is provided with an Ethernet port and arranged in the video camera; and the client terminal is connected with the web server through the network. The small-flow network transmission electronic monitoring system is characterized in that a data storage hard disc is further arranged in the video camera; the data input end of the data storage hard disc is connected with the video camera; and the data output end of the data storage hard disc is connected with the input end of connection data of the web server. Because the data storage hard disc is arranged in the video camera, the network transmission and invoking of the video can be carried out as required, the requirement of downloading all videos is cancelled, the wireless flow is reduced, and the utilization expense is lowered.