506 results about "DataOperation" patented technology

A smart watch is small and exquisite, and has very high data operation and processing capacity; the disadvantages and the advantages of the smart watch are obvious; compared with a smart mobile phone, a display screen is small in size, so that the smart watch has great limitation in information display and user input, and is not high in practicability; and compared with the smart mobile phone or other electronic equipment, the smart watch clings to skin of a user, so that the smart watch has great advantages in detecting and utilizing life biological information of the user by adding a biological inductor. According to a scheme, a gesture recognition technology based on arm electromyography is added to the smart watch, software fully uses the signal and data processing capacity of the watch, and limited hardware circuits are increased, so that the smart watch can be controlled conveniently by a gesture, the smart watch can be changed into a universal gesture recognition controller by mounting a gesture application program, the practicability and a value of the smart watch are improved and increased greatly, and seamless integration of two technologies is realized.

The invention discloses a system for realizing an SM4 block symmetric cipher algorithm. The system comprises an input key processing and result memory used for processing an input key, obtaining a result of the direct involvement of an iterative operation and storing the result, a key buffer used for updating and storing the intermediate result of a key expansion operation which is the round key needed by encryption algorithm according to the control signal outputted by a control module, a data buffer used for updating and storing the intermediate result of a decryption iteration operation according to the control signal outputted by the control module, a data processing selection module used for making a selection that the data which participates in the operation is key or data of encryption and decryption according to the control signal outputted by the control module, an operation logic module used for carrying out encryption and decryption operation and key expansion operation, and a control module used for outputting the corresponding encryption and decryption signal and key expansion control signal according to the inputted work mode control signal. By using the system, the system redundancy is reduced.

There are provided a low power SHA-1 hash algorithm apparatus having a low power structure and optimized to a trusted platform module (TPM) applied to a mobile trusted computing environment and a low power keyed-hash message authentication code (HMAC) encryption apparatus using the low power SHA-1 hash algorithm apparatus, the HMAC encryption apparatus including: a key padder padding key data for HMAC algorithm; an XOR operator XOR operating the padded key data and a padding constant; a data connector connecting a text to be encrypted, to data obtained by the XOR operating; a data padder padding the connected data; an SHA-1 hash algorithm part performing an SHA-1 hash algorithm on the padded data; a data selector selecting and applying one of a result of the SHA-1 hash algorithm and the text to be encrypted, to the data connector; and a controller controlling operations of the key padder, data connector, and data padder, a sequence of performing a hash algorithm of the SHA-1 hash algorithm part, and storing an operation result to read data required for performing an encryption operation and store data with memory.

The invention discloses a method, a device and an application for computer numerical selection. The method comprises the following steps: confirming more than two persons capable of ensure fairness and not capable of privately communicating with each other to extract seed numbers and input the seed numbers into a computer; operating the seed numbers by the computer according to a confirmed and public seed number encryption algorithm, thereby acquiring a digital digest and publishing the digital digest; acquiring a target data by operating according to a confirmed and public target data algorithm; and then selling lottery tickets to the public or distributing application number to purchasers; and after ending, publishing a won number of the lottery or succeeded application number. The seed number encryption algorithm and the target data algorithm are both confirmed and public, the reliability of seed number can be ensured by the digital digest and the fraud possibility in the computer numerical selection can be efficiently avoided, thereby ensuring a public, fair and just result.

The invention discloses a neural network data operation method based on a NOR Flash module, and the method comprises an input signal generation circuit, an output signal measurement circuit, and a storage array composed of a plurality of storage units or current mirrors, and is characterized by comprising the following steps of equipping the NOR Flash module with at least one storage array; setting a threshold voltage of each storage unit in the storage array according to a preset weight value in the neural network; converting the to-be-operated data information into a set format; inputting the converted to-be-operated data information to the input end of the storage array through an input signal generation circuit; enabling the storage array to perform operation processing through a preset algorithm according to the threshold voltage of the storage unit and data parameters input to the input end of the storage array through an input signal generation circuit; and outputting an outputresult obtained after operation processing of the storage array through the output signal measurement circuit.

The invention discloses a sound playing device. The sound playing device comprises a left channel loudspeaker and a right channel loudspeaker which are respectively mounted at left and right ends of the sound playing device, wherein the middle transverse position of the left channel loudspeaker and the right channel loudspeaker is equipped with an image shooting unit, the image shooting unit is connected with a data operation storage unit, an audio processing unit is further comprised, and the audio processing unit is connected with the left channel loudspeaker, the right channel loudspeaker and the data operation processing unit. The invention further discloses a sound playing control method. Through the method and the device, playing sound quality of the loudspeakers can be automatically adjusted according to a distance between the playing device and a user, the valuable time of the user can be saved, the device is convenient for daily life and routine work of the user, improvement of life quality of the user is substantially improved, and important production meaning is realized.

The invention belongs to the technical field of road traffic, and discloses a driving analog simulation system based on multi-agent traffic flow. The system comprises a BIM simulation environment module, a multi-agent traffic flow simulation module, a driving simulation platform, a control module of the driving simulation platform, a vehicle control and risk early warning module, a vehicle collision and risk identification module and a driver heart physiological data acquisition module, wherein all the modules are respectively connected to a high-performance graphic workstation for corresponding data processing, and the driver heart physiological data acquisition module and the multi-agent traffic flow simulation module are respectively connected with a data operation server and are used for storing data acquired by the sensor in real time and real traffic flow data. According to the invention, the multi-agent traffic flow simulation module realizes accurate simulation of multi-agent complex traffic flow, also realizes analysis of the driving behavior of the vehicle and the running state of the traffic flow vehicle, and finally realizes comprehensive evaluation of the traffic safety condition of the road section and the road network.

The invention provides a deep learning-oriented data processing method for GPU parallel computing. The method comprises the following steps: firstly, inputting data to model a calculation graph: (1) constructing operation rules of vertexes and edges of a directed graph; (2) defining an execution sequence of operations in the graph by using topological sorting; and (3) updating parameters through the training model, introducing a tensor life cycle, and rewriting a calculation graph based on data operation cost to obtain an optimal operation strategy, mainly comprising the following steps: firstly, modeling the calculation graph based on cost, and redefining an operation function on a CPU; fusing the swap-out operations with the same tensor into a single swap-out operation; and finally, obtaining a traversal sequence by applying a tensor replacement strategy based on calculation and transmission cost. Therefore, the computational graph modeling method based on the formalization rule is constructed. Finally, the extensible neural network and the calculation graph are combined, the training speed of the model can be increased, and the image processing effect is effectively improved.

The invention belongs to the technical field of three-dimensional reconstruction, and particularly relates to a point cloud registration method based on laser scanning. According to the method, the scanning point cloud data is simplified through voxel filtering, and the data operation amount is reduced. In a point cloud feature point extraction process, feature point extraction is carried out by using regional partitioning and normal difference features, so that the extracted feature points can well reserve geometric features of the point cloud and are uniformly distributed on a point cloud model. In the point cloud precise registration process, registration is performed by using the feature points, so that the point cloud search efficiency is improved, and the registration speed is accelerated. For the offset problem of the same position point of point cloud data obtained by laser scanning, registration is carried out by using a point-to-surface iterative nearest neighbor algorithm, and a point-to-surface matching error function is constructed through the minimum distance from a point cloud to a corresponding point tangent plane. And error point pairs are rejected through normal vector included angle constraint, so that the registration precision is improved, and accurate registration of the line laser scanning point cloud is realized.

The invention discloses a parking lot management method. The parking lot management method comprises the following steps: receiving a query instruction from a mobile management terminal, acquiring first vehicle information corresponding to the query instruction, and querying a parking space position corresponding to a vehicle based on the first vehicle information; receiving a payment instructionfrom the mobile management terminal, generating a payment order based on second vehicle information corresponding to the payment instruction, and transmitting the payment order to the mobile management terminal; acquiring information that the vehicle corresponding to the payment instruction completes payment on the mobile management terminal based on the payment order, and saving paid data and entry and exit data; receiving a data operation instruction sent by the mobile management terminal, performing data operation on the entry and exit data and the paid data of the vehicle based on the dataoperation instruction, and transmitting a result of the data operation to the mobile management terminal. The invention further discloses a parking lot management system and a computer-readable storage medium. Through the parking lot management method, the parking lot management system and the computer-readable storage medium, parking lot management personnel can manage parking spaces of a parking lot in a moving state.

An arbiter system comprises a plurality of hardware resources, a common resource, and an arbiter. The plurality of hardware resources are divided into groups of hardware resources and are coupled to the common resource and the arbiter. The arbiter controls which of the plurality of hardware resources has priority to access to the common resource. The arbiter includes a group shifting arbiter which shifts priority among the groups of hardware resources and a level shifting arbiter which separately shifts priority among the hardware resources within each of the groups. An error checking value generator system comprises a general purpose DMA controller and an arithmetic circuit. The arithmetic circuit is coupled to receive data from the general purpose DMA controller. The arithmetic circuit generates an error checking value based on the data received from the general purpose DMA controller and based on a polynomial equation. The arithmetic circuit is capable of being programmed with a plurality of different polynomial equations usable to generate error checking values of different types.

The invention relates to the field of smart home, in particular to a smart home system capable of automatically setting scene linkage, provides a system for automatically generating smart home scene linkage setting, and solves the problem that execution conditions and execution actions of scene linkage need to be reset due to behavior habit changes of a user. The system comprises an intelligent control device, an intelligent gateway, a background cloud server and a mobile terminal APP. The intelligent control device is connected with the intelligent gateway, and the intelligent gateway, the background cloud server and the intelligent mobile terminal APP are connected in pairs. The platform cloud server further comprises a data acquisition module and a data operation module, the data operation module obtains a frequent item set through an FPTree algorithm, obtains a strong association rule, reminds a user to generate linkage setting through a mobile terminal APP, and automatically generates scene linkage setting after confirmation of the user. The invention is mainly used for smart home.

The invention provides a household intelligent double-platform cooperative control system based on a central processing system (CPS) and a household intelligent double-platform cooperative control method based on the CPS. The household intelligent double-platform cooperative control system based on the CPS comprises a signal input module, an information processing platform, a central control platform, an executive module and a client. The signal input module is connected with the information processing platform. The information processing platform is respectively connected with the client and the central control platform through a wireless network. The central control platform is connected with the executive module. With adoption of a double-platform, complicated data operation and control operation can be conducted independently, and then operating speed of the household intelligent double-platform cooperative control system based on the CPS is improved, meanwhile, by physically integrating information of the double-platform, the executive module (physical device) and the network, multi-mode cooperative control of manual control, automatic control, manual-automatic bonding control, indoor and remote joint control and multitask real-time processing can be achieved.

The invention relates to the technical field of big data, and discloses a heat dissipation device and a heat dissipation method for a big data operation center, the heat dissipation device for the bigdata operation center comprises a shell, vent holes are formed in the top and the bottom of one side of the shell, and filter screen plates are fixedly installed in the two vent holes; a vertical hole is formed in the top of the shell, a vertical shaft is rotationally installed in the vertical hole, first fan blades are fixedly installed at the bottom end of the vertical shaft, a motor is fixedlyinstalled on one side of the top of the shell, and an output shaft of the motor is fixedly connected with one end of a driving shaft. The device is reasonable in design, ventilates a computer unit for big data operation, drives an air guide plate to swing back and forth to form swing air, conducts comprehensive and efficient heat dissipation on the computer unit, and meanwhile drives knocking plates to intermittently knock the filter screen plates for filtering dust; and dust accumulated on the filter screen plates falls off under the action of vibration, so that blockage is prevented, and the heat dissipation effect is guaranteed.

The embodiment of the invention provides a user grouping processing method and device based on machine learning and an electronic terminal, and relates to the technical field of data processing. According to the embodiment of the invention, a plurality of desensitization user data after desensitization processing are acquired; then, a decision tree model in a Spark big data operation platform is used for carrying out classification processing on the desensitization user data, and a classification processing result is obtained, so that, based on the decision path of the decision tree and the classification processing result, the class group information of each node in the decision tree model is counted layer by layer; and then, generating a user data distribution tree according to the decision path of the decision tree and the class group information of each node in each decision tree model, and storing the user data distribution tree. Therefore, according to the technical scheme provided by the embodiment of the invention, the problems of high labor cost and low user grouping accuracy of a manual user portrait grouping mode in the prior art can be solved.

The invention discloses a trusted computing method and system, and the method comprises the steps that a data user generates a data operation task in an authorization range after the validity verification of a trusted computing environment and a trusted computing function library of a cloud server is passed, and transmits the data operation task to a computing service provider; the computing service provider obtains the ciphertext of the required data and the ciphertext of the corresponding key according to the data operation task, and stores the ciphertext of the required data and the ciphertext of the corresponding key to the cloud server; a data user adopts a safe transmission mode to send a calculation private key for decrypting the ciphertext of the secret key to the cloud server, triggers the cloud server to obtain a plaintext of data required for task execution by using the calculation private key in the trusted computing environment, executes the data operation task by using the plaintext and the trusted computing function library, a corresponding execution result is encrypted and sent to the data user. According to the invention, the overall operation performance can be effectively improved.

The invention relates to the technical field of transformer winding temperature rise resistance measurement, in particular to a transformer temperature rise measuring device and method. The transformer temperature rise measuring device comprises a power supply, a switch, a resistance meter and a data operation device electrically connected with the resistance meter. The transformer temperature rise measuring method comprises the following steps: measurement is conducted through the resistance meter at a normal temperature, a resistance value of a transformer is read, and an initial temperature value is input; 10-30 resistance values of the transformer are obtained through continuous measurement of the resistance meter, and a temperature rise value is obtained through backward induction by means of a tendency chart function formula of an Excel program chart and calculation by means of the formula. According to the transformer temperature rise measuring device and method, multiple data sets are read, the backward induction method is utilized, the result is analyzed through software, the function formula is deduced three times, the truth value of a final temperature rise resistance value at the disconnection moment is obtained, the truth value is introduced into the formula, and the temperature rise value is calculated, so that measurement accuracy is higher, and measurement efficacy is higher.

The invention discloses a quick sectioning method based on point cloud, an intelligent terminal and a cloud platform, and the method comprises the following steps: uploading point cloud data, so as toenable the cloud platform to convert the point cloud data into an octree binary system for storage, and obtaining a point cloud file; after a viewing instruction is obtained, asynchronously loading the point cloud file from the cloud platform according to the viewing instruction, and visually rendering the point cloud according to the point cloud file; sensing the area of interest and the parameters, so that the cloud platform evaluates the number of point clouds in the region of interest and returns points; uploading a generation instruction to enable the cloud platform to calculate the number of point clouds in the area of interest to obtain target data; and uploading the downloading instruction, so that the cloud platform converts the target data into a corresponding output data type and returns the output data type. Based on a browser, a PC terminal, a mobile terminal and other clients are supported, the cloud platform stores the point cloud data and performs data operation, the hardware requirements of the clients are reduced, and the invention can be widely applied to the field of three-dimensional visualization.

The invention discloses a convolutional neural network accelerator based on a Winograd sparse algorithm. The convolutional neural network accelerator comprises; a control module which is used for moving data; a buffer module buffer which is used for temporarily storing load data, and an operation module which is used for completing operation of a Winograd sparse algorithm. In the reading stage, the control module sends an address, an input cache and a weight cache to read data in the external DRAM; in the data operation stage, the operation module reads input data, weight data and a weight index from a buffer module to complete convolution operation; and in the sending stage, when the output finishes the final accumulation operation, the data is sent to the external DRAM through the outputcache, and finally calculation is finished. The convolutional neural network accelerator has the advantages of simple structure, easiness in implementation, good acceleration effect and the like.

The invention belongs to the technical field of privacy computing, and relates to a homomorphic privacy set intersection method based on an order-preserving function. The homomorphic privacy set intersection method is characterized in that: sensitive data is processed by adopting an order-preserving function before the sensitive data is subjected to disk storage, and then the data is stored in a hard disk, so that the sensitive data is subjected to encryption protection when the sensitive data is subjected to disk storage, and the size characteristics of the data is reserved. During privacy set intersection, after data of a client side are processed through an order-preserving function, homomorphic encryption is carried out on the data of the client side, after homomorphic encryption is completed, intersection operation of the privacy sets is carried out on the server side through the characteristics of the homomorphic calculation technology under the condition that the data of the client side and the data of the server side are not plaintext, the solution mode is particularly suitable for the condition that data sets of two parties are unbalanced, the data operation communication traffic is reduced, the operation efficiency is improved, the data participating in the operation are operated in a ciphertext state, and the security of the privacy data is greatly improved.

The invention discloses a data operation and private transaction method based on a blockchain and a trusted calculation network. The method comprises the steps that a requester provides a data operation request and only obtains a data operation result in the whole data operation process, and does not touch the original data of a provider; on the premise of authorization of a provider, the platformperforms data operation in a trusted execution environment and outputs a data operation result, and the data operation process is real and trusted; after the data operation is completed, a provider can delete authorized data in the data operation or encrypt and store the data, so that data leakage is avoided; according to the method, original data used for statistics is only visible to a provider, an obtained data operation result is only visible to a requester, data operation is executed in a trusted environment, the privacy protection requirement in the data operation process can be met, and a real and reliable data operation result is obtained.

The invention relates to the technical field of video encryption, and provides a chaotic video encryption method based on a sliding encryption window, which aims to solve the problems of high encryption computation overhead, contradiction between a high speed and high safety of video encryption and the like of the conventional video encryption method. The method has the advantages that a chaotic system and video encryption are combined, so that an enormous key space and extremely high key sensitiveness are achieved, the anti-attack performance of the encryption method is improved, and complexnon-linear dynamic properties are obtained; while high safety is guaranteed, the sliding encryption window is utilized to select the optimum and the most effective encryption key data, so that the operation speed and the encryption efficiency are high; and compared with a selective video encryption method without the sliding encryption window, the method can reduce the computation overhead by above 86%.

The invention provides a training method of a voice wake-up model, a wake-up word detection method and related equipment. During model training, training of the voice wake-up model is effectively optimized by using a unified multi-label cross entropy loss function in combination with a form of voice phonemes. When wake-up word detection is carried out, multi-label classification of phonemes is executed through the voice wake-up model, and judgment of whether wake-up words exist in wake-up voice data is converted into judgment of whether wake-up word phonemes exist so that wake-up words are detected from finer granularity, the false wake-up rate is reduced, and the model stability is improved. Meanwhile, the voice phoneme sequence is obtained according to the wake-up word phoneme combination existing in the wake-up voice data so that the output of the voice wake-up model is notunnecessarily decoded and phoneme sequence recognition isconverted into judgment whether the phonemes in the sequence exist or not, the post-processing form of the output of the voice wake-up model is greatly simplified, and the data operand and the performance requirement on the terminal equipment are effectively reduced.

The invention relates to a food quality monitoring device based on a neural network. The food quality monitoring device is formed by connecting a data processing and driving module with a storage and display module. The data processing and driving module is used for collecting and processing signals of a temperature receiving end and providing the capacity of driving a display and comprises the temperature receiving end, a data conversion module, a data operation module, a data processing module and a driving, scanning and displaying module. The storage and display module is formed by connecting a data storage module with the micro-display and used for displaying current temperature data and food quality coefficients in the data storage module on the display. The food quality monitoring device is characterized in that complex formula operation is achieved by adopting the neural network, a parallel processor FPGA is used, the data is transmitted to a monitoring module in a wireless transmission communication mode, and the alarm prompting function is added. According to the food quality monitoring device, not only are hardware resources saved, but also the operation and processing speed is high, the timeliness is high, and the good practical value is achieved.

The invention relates to a universal distributed dynamic operation technology for executing task decomposition based on a plug-in unit, which comprises the steps of: 1, data partitioning processing; 2, data block distribution; 3, execution of data operation commands; 4, result combination and arrangement; and 5, result display. The technology is that a task is operated based on a plug-in unit mode and comprises the steps of: firstly, operating a task plug-in unit by a console plug-in management module, receiving large-scale operation data input by a user, and carrying out reasonable distribution aiming at decomposed data blocks after the partitioning processing; secondly, transmitting M groups of service end plug-in unit management modules to a remote node computer by a distributed task scheduling module, executing the data operation commands in each service end plug-in unit management module; and finally, combining and arranging obtained accurate operation results and displaying a final result to a console terminal. Therefore, the speed of data operation is greatly enhanced. Compared with the prior art, the technology is tightly combined with the practical application condition, is easy to implement, can carry out high-speed and highly-efficiency operation on large-scale data, and can meet the requirement on practical operation.

The invention provides a novel photovoltaic module monitoring unit. The monitoring unit is formed by a photovoltaic module, a data acquisition control module, a storage battery and an inversion control unit module. The data acquisition control module does not carry out data operation and transmits collected data to a traditional photovoltaic inversion control unit in real time via a first communication circuit so that high speed acquisition and a transmission function of the data are realized. The inversion control unit comprises a central processor, receives electric energy data transmitted by the first communication circuit, carries out operation and integration according to a system power optimization strategy and feeds back an operation result to the monitoring unit via a second communication circuit so as to coordinate an output voltage and a current of each photovoltaic module. Finally, energy output of a system is increased maximumly. Aiming at problems of inconvenient data acquisition, power consumption and safety detection existing in actual operation, the monitoring unit can conveniently carry out cluster monitoring and management on a photovoltaic power generation assembly and can conveniently complete electric power data acquisition, gathering, data analysis and network monitoring.

This invention needs no priority encoder to connect the plural number of associative memories. The primary searching associative memory 4 of the associative memory 204 produces the intermediate data 6 obtained after the logical sum operation for the coincident storage data in the confirmed valid state, taking the research data 2 and the mask information into account, into the intermediate data determination section 41 and the internal secondary searching associative memory 5. The intermediate data arithmetic section 42 produces the valid state to the valid search signal 45 corresponding to the storage data with the least number of bits in invalid state among the intermediate data 6 supplied from the first through p-th associative memory 204. The first through p-th secondary searching associative memory 5 carries out the search operation for the storage data with the corresponding intermediate data 6 as the search data, supplying the match line 3. When the corresponding valid search signal 45 is put in the invalid state, the first through p-th logical sum operation means 46 puts the all values of corresponding match line 3 in the invalid state, produces data into the address signal producing section 11, and encodes data to the address output signal 12.

Embodiments of the present specification disclose a processing method, device and apparatus for batch data operation. The scheme comprises the following steps: grouping and summarizing the batch dataoperations to be processed in the database according to the account dimension to obtain the quantity of the operations to be processed for each account; determining a first account whose number of operations to be processed is larger than a preset threshold value, and obtaining a first account set; for any one of the accounts in the first set of accounts, invoking a thread to process pending operations of the any one of the accounts within a time period.

An operation device of interpolation is prepared as connecting bus interface, data storage unit, multi-path selector, data operation module, intermediate data buffer and data selection module all to controller and then receiving generated control signal of said controller by all said units connected with said controller.