150results about How to "Improve data stability" patented technology

The invention discloses a method for realizing user identity digitalization based on a block chain. The method comprises the following steps: S1, monitoring a state of an API registration port; S2, inputting identity information; S3, performing identity information authentication, i.e., checking user identities through a police real name authentication system and bankcard binding mode according to information input by users in a registrant name input window, a registrant identity card number input window and a bank card number input window; S4, registering a platform account, and distributing block chain identities to the users; S5, setting a payment password; and S6, performing platform transaction. The method is a digital transaction method under the support of a block chain technology. According to the invention, under the technical support of a third-party service platform, the block chain identities can be provided for the users, it is ensured that the users can carry out digital economic transaction under the block chain technology, the security and the confidentiality are quite high, the transaction content cannot be tampered, traceability can also be performed in case of a transaction problem, and the transaction reliability is improved.

Provided is a three-dimensional gait information collection and analysis method based on Kinect motion-sensing technology. The method includes the steps of utilizing a running machine, a Kinect sensor, a Kinect supporting cloud platform and a computer to constitute a gait data collection hardware system, choosing a speed level of the running machine for a person to walk on the running machine; using the Kinect sensor to identify nodes of a human skeleton, and adopting threshold filtering and double-exponential filtering to stabilize data about the skeleton nodes, then building a local coordinate system according to human anatomy and calculating an anatomy movement curve; using a catch method for a gait event to identify the gait event, finishing calculation of gait parameters according to the gait skeleton data, and finally displaying the gait parameters and a gait motion curve on the interface. The three-dimensional gait information collection and analysis method based on the Kinect motion-sensing technology has the advantages of low production costs, no use of gauge points for catching three-dimensional skeleton nodes, remote collection, an ability of automatically catching a gait event, precise calculation of gait parameters and tracks, simple operation and the like.

This disclosure relates to a data storage medium, and in particular to a data storage medium comprising at least one high modulus layer used to control the overall degree of flatness in the storage medium.

A clock control circuit includes a clock delay device, an edge detection device, a phase determination device and a delay control device. The clock delay device generates a delayed rising clock and a delayed falling clock by delaying a rising clock and a falling clock, which are transferred from a clock generation circuit, in response to a control signal, and to transfer the delayed rising clock and the delayed falling clock to a data output buffer. The edge detection device detects a difference between an edge timing of the delayed rising clock and an edge timing of the delayed falling clock to generate edge detection signals. The phase determination device detects a duty ratio of each of the edge detection signals to generate phase determination signals. The delay control device generates the control signal in response to the phase determination signals.

The invention relates to an unsupervised learning real-time public transport dynamic scheduling system in a cloud platform environment. The system comprises a public transport cloud service scheduling system, an intelligent public transport integrated terminal, unsupervised learning public transport passenger flow, a station traffic element identifying label mounted on a bus station and used for uniquely identifying the bus station, and a traffic element identifying label mounted on a public transport vehicle and used for uniquely identifying the public transport vehicle, wherein the intelligent public transport integrated terminal is in wireless connection with the vehicle traffic element identifying label and the station traffic element identifying label respectively. In the system and method, the information of the public transport vehicle and station and the station passenger flow information can be collected through the intelligent public transport integrated terminal; in combination with the real-time data of public transport passenger flow provided by the public transport cloud service scheduling system, real-time public transport scheduling information service is provided, the user experience is good, the intelligent degree is high, the investment cost is low, the data stability is good and the reliability is high.

A method and circuit are given, to realize a Bit-Line Sense Amplifier with Data-Line Bit Switch (BS) pass transistors for Random Access Memory (RAM) products as Integrated Circuit (IC) fabricated in CMOS technology with optimized operating characteristics of said RAM product with respect to good write stability and high write speed and wherein the layout area of the BS FET-switches and thus also the die size is minimized. This is achieved by using a two thickness technique of oxide layers for crucial internal circuit parts of the chip.

The present invention discloses a personalized traffic information service system with man and vehicle collaboration and a method. The system comprises a traffic information service cloud system, an intelligent terminal, a bus stop electronic tag for the unique identification of a bus stop installed in the bus stop, and a vehicle electronic tag which is installed in a bus and is used for the unique identification of the bus. The intelligent terminal is wirelessly connected to the vehicle electronic tag and the bus stop electronic tag respectively. The intelligent terminal is wirelessly connected to the traffic information service cloud system. According to the system, a traveler can use the intelligent terminal to collect the information of a bus and a bus stop, combined with the traffic real-time data of the traffic information service cloud system, personalized traffic information service is provided for a user, the user experience is good, the degree of intelligence is high, the investment cost is low, the data stability is good, the data reliability is high, and he system can be widely applied to the transport industry.

A method for measuring DC resistances of transformer windings comprises the following steps of: 1, connecting an AB-phase test wire of a transformer to a degaussing machine, starting the degaussing machine, changing the wire to a BC phase after the AB phase is degaussed, and repeating the above steps till all residual magnetisms in an iron core of the transformer is eliminated; measuring the DC resistance Rac of a low-voltage side winding ac and the DC resistance RAO of a high-voltage side winding AO by using a magnetism optimization method through a DC resistance testing instrument, and repeating the step 1 to eliminate the residual magnetisms in the iron core of the transformer; measuring the DC resistance Rab of a low-voltage winding ab and the DC resistance RBO of a high-voltage side winding BO by using the magnetism optimization method through the DC resistance testing instrument, and repeating the step 1 to eliminate the residual magnetisms in the iron core of the transformer; and measuring the DC resistance Rca of a low-voltage winding ca and the DC resistance RCO of a high-voltage side winding CO by using the magnetism optimization method through the DC resistance testing instrument, and repeating the step 1 to eliminate the residual magnetisms in the iron core of the transformer. According to the method for measuring the DC resistances of the transformer windings, excessive magnetizing inrush current of the transformer no-load closing is avoided and the safety operation of the transformer is protected.

The invention relates to the field of prepaid cards, and discloses a prepaid card transaction data storage method and device. The prepaid card transaction data storage method includes generating a plurality of transaction records of the amounts of transfer from a plurality of merchant accounts to a user account during recharge of the user account of a prepaid card and storing the transaction records to a block chain, expenditure presentation information of the plurality of transaction records including the user account; and when the user account of the prepaid card performs consumption, generating a transaction record of the consumption of this time according to preset transaction rules and storing the transaction record to the block chain, account entering information of the transaction record of the consumption of this time including a prior transaction record of which expenditure presentation information includes the user account which is determined according to the transaction rules, and expenditure presentation information of the transaction record of the consumption of this time including a target account and sum of consumption of the consumption of this time. The prepaid card transaction data storage method and device can ensure non-tamperability, verifiability and traceability of the transaction records.

The invention belongs to the technical field of machine vision and provides a color recognition method and system. The method is characterized in that the normalization color data of a target pixel point relative to a reference background is calculated, the correlation between the color value of the target pixel point and the color value of each standard sample in multiple pre-stored standard samples is calculated according to the normalization color data of the target pixel point and the normalization color data of the multiple pre-stored standard samples, and selecting the color value, with the highest correlation with the color value of the target pixel point, of the standard sample to serve as the real color value of the target pixel point. By the color recognition method, the color value of a target substance can be recognized in a good data stability, high accuracy and low cost manner.

The invention discloses an image analysis method and apparatus for skin lustrousness, so that the skin lustrousness difference of people and the improvement effects of products on the skin lustrousness are effectively reflected and visual evaluation results of people are better reflected. The technical scheme is that the method comprises: acquiring a digital image of the skin of a testee under the same light source condition; setting a to-be-analyzed region on the acquired skin image; calculating frequency distribution of pixels for the to-be-analyzed region; setting extraction conditions of a highlight part; and calculating a pixel occupation ratio of the highlight part extracted according to the set extraction conditions, and taking the pixel occupation ratio as a skin lustrousness index.

The invention discloses a remote system for PLC equipment debugging and a method thereof. The system consists of virtual serial port bridging software, a background server and an industrial gateway concentrator, wherein the industrial gateway concentrator equipment on a physical connection line is connected with traditional PLC equipment; the virtual serial port bridging software is connected withIDE software of a corresponding PLC through a virtual serial port; a transmission layer protocol central server is connected with the virtual serial port bridging software through an HTTP protocol and connected with the industrial gateway concentrator equipment through an MQTT protocol; the industrial gateway concentrator equipment is connected with the PLC through the physical connection line and sends information in a transparent transmission line; and the virtual serial port bridging software sends information in the same transparent transmission line. According to the system and the method, the users do not need to change the original programs and can remotely debug the PLC equipment without being limited by territories, so that the operation is convenient and efficient.

A selective mirroring method is disclosed. In the selective mirroring, first mirroring to duplicate an input/output for a first directory or a file at a time point when the input/output occurs and second mirroring to mirror a second directory or file at a necessary time point may be performed cooperatively or selectively. The selective mirroring may be performed in a kernel layer of the OS. The first mirroring may be performed through hooking of a file I/O system call. The second mirroring may be implemented by a daemon. The second mirroring may be performed when the directory is to be entirely mirrored, when an error occurs in the course of mirroring, or when mirroring is to be performed on a medium to which the first mirroring is hardly applied. The second mirroring may wake up from a sleep state at a time point when mirroring is required to perform a given operation.

The invention discloses a plant point cloud collection registration and optimization method based on a TOF camera. The plant point cloud collection registration and optimization method comprises the following steps: (1) placing a detected plant on a turntable, adjusting the visual angle of the TOF camera, and enabling the TOF camera to be aligned with the detected plant; (2) starting a rotary table to enable the rotary table to rotate automatically, and collecting point cloud data of a measured plant at intervals by a TOF camera; (3) performing real-time preprocessing on each frame of point cloud data acquired by the TOF camera; (4) performing registration and optimization processing on each two adjacent frames of point cloud data in sequence, and then performing integration to obtain complete plant point cloud data; and (5) eliminating discrete noise in the plant point cloud number obtained by registration and optimization processing by adopting statistical filtering processing to obtain final point cloud data. The plant point cloud collection registration and optimization method provided by the invention can effectively solve the local point cloud layering phenomenon.

The invention provides a photon counting full-spectrum direct reading fluorescence spectrometer, which is mainly composed of an excitation light source, a spectrometer system, a photon counting imaging detector and an information processing and displaying unit. The excitation light source provides light energy to excite a sample to generate a characteristic fluorescence spectrum; the spectrometer system subjects the incident composite light containing the characteristic absorption spectrum to dispersion to give a spectral intensity distribution image; the photon counting imaging detector reconstructs the spectral intensity distribution image in a digital manner through position sensitive detection and photon counting; and the information processing and displaying unit performs qualitative and quantitative analysis on the sample according to the light intensity and the position of each image element in the digital spectral intensity distribution image. The spectrometer of the invention combines advantages of photon counting technology and full-spectrum direct reading technology, is low in detection limit, high in reading precision, good in data stability and large in linear dynamic range, can simultaneously analyze multiple substance components and make full use of each spectral line in a working wavelength range, and is rapid in working speed, simple in structure and good in operation stability.

The invention discloses an electrochemical luminescence detection kit for a zinc transporter 8 islet autoantibody (ZnT8A) and belongs to the technical field of biomedical detection. The detection principle of the kit is as follows, labeled recombinant ZnT8 antigen protein molecules are placed in a non-radioactive liquid phase environment for combination, the ZnT8 autoantibody in the serum is fullycombined with the recombinant ZnT8 islet antigen protein marked by the thioruthenium derivative active ester in a liquid phase environment, meanwhile, the recombinant ZnT8 islet antigen protein marked by the biotin polyethylene glycol active ester is grabbed and fixed on a streptavidin graphene flat plate, and the antibody amount in serum can be obtained by calculating a signal released by thio-ruthenium derivative active ester (Sulfo-TAG) combined with antigen protein of a specific antibody. The kit is advantaged in that the kit has relatively high sensitivity and specificity, is simple andconvenient to operate, has no radiation pollution, and has a very good clinical application value.

The invention discloses an intelligent bus safe driving behavior auxiliary supervision system and a control method. The system comprises a vehicle-mounted terminal, a roadside terminal and an ADAS cloud control center, a peripheral system comprises a Beidou/GPS differential base station and a real-time signal lamp, and a deep convolutional network and an SVM classifier are adopted to process driving behavior scale data. Parameter matching of a rear-end collision alarm/anti-collision algorithm is realized based on a driver abnormal behavior mode and experimental data statistics, vehicle CAN bus information and GPS/Beidou differential information are accessed to the vehicle-mounted terminal, a core vehicle active safety defense early warning function is provided, information such as real-time signal lamp control is accessed to the roadside terminal, and cooperative interaction with the vehicle-mounted terminal is realized; the Beidou/GPS differential base station is built in a demonstration area, accurate position information service is provided for the vehicle-mounted terminal in specific service position data information, the system can be used by an automatic driving system, user experience is good, the intelligent degree is high, input cost is low, data stability is good, and reliability is high.