338results about How to "Fast operation" patented technology

The encode thereof at least comprises: an arithmetic coding control module, an encoding instruction queue module, a context management and maintenances module, an encoding engine module and an outputted bits packaging module. The invention also reveals a context self-adaptive arithmetic encoding method which comprises: processing the external command, syntactic element and adjacent block information to generate an output bit-stream.

The invention relates to a resource acquiring method and apparatus and a resource processing method, apparatus and system. The resource acquiring method comprises: displaying an operation page for acquiring a resource; detecting a touch operation acting on the operation page; recording an operation frequency of the detected touch operation; sending a resource acquiring request which carries a user identifier of a current login user and the operation frequency to a server, and making the server adjust a randomly selected probability according to the operation frequency to randomly acquire a decision result whether resources are allocated for the user identifier; and receiving a resource acquiring result fed back after the server performs a corresponding operation according to the decision result. According to the resource acquiring method and apparatus provided by the invention, the capability of resistance to plug-in users is improved.

The invention discloses a continuous casting breakout prediction method based on a neural network, which comprises the following steps that: step 1: the temperature data of a thermocouple on a continuous casting site is collected on line and saved; step 2: the temperature data is pre-processed; step 3: the temperature data which is collected from any one thermocouple and is pre-processed is input a single-couple time sequence network breakout prediction model, the output value of the single-couple time sequence network breakout prediction model is compared with the maximum determination threshold, and if the output value of the model is more than the maximum determination threshold, the breakout is predicted; and the method is characterized in that genetic algorithm is used for initializing the connection weights and thresholds of the single-couple time sequence network breakout prediction model. The method can improve the identification effect and the prediction precision of a continuous casting bonding breakout process so as to greatly reduce the false prediction rate and missing prediction rate.

An embodiment of the invention provides a method controlling applications through fingerprint identification and a terminal device. The method comprises the steps of: collecting input user fingerprint information in a locked state; verifying whether the user fingerprint information is valid; if the user fingerprint information is valid, searching a fingerprint control instruction corresponding to the user fingerprint information from a corresponding relation between the user fingerprint information and the fingerprint control instruction; and executing a corresponding operation according to the fingerprint control instruction. According to the embodiment of the invention, the applications in the terminal device can be quickly operated in the locked state.

The invention provides an online classroom atmosphere evaluation system and method. The evaluation system comprises a video stream collection module, a data stream processing module, an image analysismodule, a classroom attendance analysis module, a classroom atmosphere evaluation module, a classroom atmosphere scoring module and a display module; . The invention collects classroom video stream data through a camera, and the captured video is captured frame by frame to obtain images; all the faces images are segmented and numbered sequentially, at the same time, the eigenvalues are assigned to the faces with the corresponding numbers, and then face recognition and facial expression recognition are carried out according to the number, so as to identify the number, emotion and movement posture of students in the video stream data; the score 0 is given to the students lowering heads in the image and the score 1 is given to students having interaction; according to the emotional analysisstrategy of students listening to the teacher, the current student listening student score is obtained and finally comprehensive evaluation of the classroom atmosphere score is obtained. The inventioncan evaluate the classroom quality on-line and in real time, and can effectively improve the evaluation effect.

The invention discloses an MD5-code-based method applied to the backup and the reduction of application program data. The MD5-code-based method applied to the backup and the reduction of application program data comprises the following steps: S1, backing-up and storing the application program data, namely calculating the MD5 values of all files associated with an application program by virtue of an MD5 information abstract algorithm, then backing-up and the storing the MD5 values of the files associated with the application program, the version number of the application program, names of all the relevant files and directory paths of the files on a cloud server; and S2, downloading and restoring the application program data, namely updating the application program, downloading and restoring the application program data when a user opens and uses account information to log in the application program at another intelligent mobile terminal. The method is capable of accurately calculating the difference between data files; when the backup and reduction of the data are carried out, the data traffic for uploading and downloading the data files can be saved; the operation speed of the backup and restoration can be increased; when the version number of the application program is inconsistent, a reduction path from the application program to a previous version can be provided.

The invention discloses a staggered base line angle measurement method based on a distributed sub-array. The problem that the angle is fuzzy in the distributed sub-array wave arrival direction estimation process is mainly solved. The method comprises the following implementation processes of: extracting a target signal from a radar echo; performing coarse angle measurement on a target signal by using a digital beam forming method; dividing the sub-array, equally dividing each sub-array into two novel sub-arrays, forming four novel sub-arrays, generating four base lines, and constructing a staggered relationship by two base lines selected from the four base lines; performing beam forming on the four sub-arrays, and calculating a phase difference observation value of the two base lines; calculating a value range of a fuzzy number by utilizing the constructed staggered relationship; and introducing a cost function, solving the fuzzy number by utilizing the minimum mean square error criterion, and solving the cost function value by utilizing the fuzzy number, so as to obtain a target wave arrival angle. The operation amount is reduced by adopting the processing method for constructing the difference of the two base lines, the calculation speed of the target arrival angle estimation is increased, and the method can be used for target identification.

The invention discloses a multi-core processor on-chip network system based on the FPGA and provided with an accelerator. A processor in a main control unit of processor nodes of the system is connected with a data memorizer BRAM2 through a first AXI bus; the processor is connected with the data memorizer BRAM2 sequentially through a Cache interface of the processor and a second AXI bus, and when the first AXI bus is busy or occupied, the processor reads and processes data in the data memorizer BRAM2 through the second AXI bus. The system improves the utilizing rate of the processor and the utilizing rate of each device, and the system is high in arithmetic speed and good in overall performance.

The analog multiplication algorithm of the present invention is one improvement of available multiple precision CIOS algorithm with reduced inner loop number from two to one and reduced external variable access times. The analog multiplication arithmetic circuit consists of addition, multiplication, address and loop computation module, data register, logic control module, inner circuit and some special functional modules; and has less operation steps, raised operation speed and data length capable of being set. The analog exponent operation circuits consist of the analog multiplication arithmetic circuit, CPU and system RAM, and under the control of the CPU, several times of analog multiplication operation are completed. Between two times of the analog multiplication operation, the basic address is altered based on dynamic data address pointer technology with greatly speeded analog exponent operation speed.

The invention discloses a curved road safe speed calculating method and caution system based on vehicle infrastructure cooperation. The method includes the following steps of calculating the sideslip critical speed of a vehicle; calculating the rollover critical speed of the vehicle; comparing the small values of the two critical speeds and determining the safe speed when the vehicle runs into the curve; and calculating the safe vehicle speed when the vehicle runs into the curve after considering the behavior characteristics of a driver. The invention provides a method for accurately calculating the safe vehicle speed when the vehicle runs into the curve on the basis of fully considering the influences of people, vehicles and roads. Through the comprehensive considering of the vehicle motion characteristics and driver behavior characteristics, the safe vehicle speed of the vehicle at the curved road is analyzed by means of a vehicle dynamics theory. The method has the advantages of simple calculation, fast operation speed, and high reliability, and provides the theoretical method support for the design and development of a curved road safe driving caution system.

The invention relates to a multi-angle drilling device. The multi-angle drilling device comprises a fixing frame provided with a base. The fixing frame is provided with a sliding rail and an electric drill fixing platform which moves up and down along the sliding rail. The electric drill fixing platform is transversely arranged, the left end and the right end of the electric drill fixing platform are of a shaft structure, and shaft parts of the two ends are coaxial and are connected to sliding bases of the sliding rail through bearings. The electric drill fixing platform is provided with a tray for fixing an electric drill and a feeding unit used for driving the tray to move front and back on the electric drill fixing platform. The device is adjusted to a proper height through ascent and descent, the angle of the fixing frame in the horizontal direction is adjusted, the electric drill fixing platform is rotated to adjust the angle in the vertical direction, and thus through the adjustment in the three aspects, an electric drill bit can rapidly arrive at an accurate position of a hole to be drilled, then the electric drill is started, and the feeding unit is used for performing drilling operation. The angle adjusting structure is simple, moving and angle adjusting operation is rapid, and the drilling efficiency is high.

The invention discloses a flexible high-voltage DC line protection method with current correlation. Through sampling current of DC-side shunt capacitor branches and a DC line entry, Pearson correlation coefficients of current of capacitor branches at two sides of the DC system and current at the DC line entry are calculated respectively, calculated correlation coefficients at two sides are finally compared, and thus, DC line fault discrimination is realized. The protection method is simple in operation, the needed sampling frequency is low, the method is not influenced by factors such as data synchronization, a fault type, a fault position, noise interference and a control mode, inner and outer faults in the DC line area can be accurately recognized, and a fault line is protected. The protection method plays an important role in safety operation of the flexible high-voltage DC transmission system.

The present invention relates to mode recognition technology, and is especially digitized magnetic resonant perfusion imaging method. The digitized magnetic resonant perfusion imaging method includes automatic artery input function cutting technology, time concentration curve correcting method, and the display of perfusion imaged PWI image. The digitized magnetic resonant perfusion imaging process includes the steps of: data acquisition, time concentration calculation, Gamma fitting, SIF division, obtaining division result, deconvolution calculation, calculating CBV, calculating MTT and calculating CBF. The present invention can locate and evaluate precisely different disease focuses for cerebral vascular diseases and determine the disease focus sizes and spatial anatomic relations of disease focuses, and has important application value in medicine. Automatic method based on absolute quantizing theory with fast operation speed may be adopted. The method has high credibility, applicability and accuracy.

The invention discloses a synthetic aperture radar (SAR) image change detection method based on image fusion and mainly solves the problems that in prior art, detail information is lost and detection accuracy is low. The method includes extracting a differential difference chart and a specific value difference chart of an image before and after the change and extracting a variance matrix of a difference image; utilizing a KI threshold segmentation method to obtain an optimal threshold T; fusing the differential chart and the specific value chart according to the optimal threshold T and the variance matrix to obtain a final fused difference chart D; and subjecting a gray value of the obtained final difference chart D to segmentation of fuzzy C-means clustering with two categories, in a clustering center, one clustering with a larger value is used as a variable clustering, and the other clustering is used as a non-variable clustering, and the change monitoring result is obtained. According to the method, the defects that the differential chart is sensitive to noises and the specific value chart edge information is prone to lose are overcome, the error rate is reduced, and the detail information is excellently saved.

The invention relates to a signature authentication system and a signature authentication method based on an SM2 encryption and decryption algorithm. The system comprises a software module and a hardware module; the hardware module comprises an operation module, a register and a random number generator; the random number generator generates a random number, a symmetric key, a public key and a private key of a sender and the public key and the private key of a receiver applied to the algorithm; the operation module is used for operating SM2, SM3 and SM4 algorithms during encryption and decryption process; the software module is used for achieving a signature authentication function; and the register is used for being accessed by the software module so as to schedule the operation module. According to the system and the method provided by the invention, the random number generated during a signature authentication process is generated by the random number generator, so that data security is greatly improved; the operation part is implemented by the hardware module, the software module achieves the signature authentication function, and thus the method is greatly improved in operation speed by cooperation of hardware and software compared with the method only using the software; compared with inoperability of the method only using the hardware, the method has stronger controllability, programmability, transportability and compatibility.

A method of improving pattern recognition accuracy is provided that uses a mechanism for locating a pattern within an input signal, such as provided by a telephone network. This operation is hard because of the variability of the signal that is likely to be received by the pattern recogniser. It will receive a large range of signal amplitudes, possibly embedded in a variety of background noises, and is required to produce its best hypothesis of the patterns in this signal. This invention concerns the identification of the location of the patterns within the input signal, which in some aspects uses feedback from the following pattern matcher, and in other aspects uses a pattern distance to noise distance ratio to determine the pattern identification. Other aspects are also described. It is important to accurately locate the pattern to be recognised as errors in the location of the pattern will result in errors in the recognition of the pattern. The patterns to be recognised are preferably human utterances.

The invention discloses a mobile Internet information communication encryption method based on the GMB algorithm. A user A sends an encrypted message to a user B through a mobile terminal and establishes an elliptic curve dynamically according to the SM2 elliptic curve public key cryptography algorithm, the user A sends parameters relevant to the public key and elliptic curve to the user B, the user B generates a public key kB by means of the parameters relevant to the elliptic curve sent by the user A, and then communication encryption/decryption is conducted. According to the method, Miller-Rabin algorithm underlayer optimization is conducted with the Montgomery algorithm, a good effect is obtained in terms of prime number testing optimal selection, the window size can be controlled flexibly with the sliding window algorithm, elliptic curve point multiplication speed and encryption/decryption speed are increased greatly through salutatory binary string computation, and mobile Internet communication encryption/decryption can be achieved quickly, safely and reliably by means of the asymmetrical secret key algorithm and symmetric secret key algorithm.

The invention discloses an air data computer, which comprises an air pressure sensor assembly and a data signal processor assembly, wherein the air pressure sensor assembly comprises a full pressure sensor, a static pressure sensor and a first microprocessor, the digital signal processing assembly comprises a second microprocessor, and the second microprocessor receives the static pressure data and movable pressure data output by the air pressure sensor assembly and the actual measurement temperature data output by a temperature sensor at time intervals through gating signals for calculating air data. The air data computer has the advantages that the size is small, the weight is light, the power consumption is low, the data processing speed is high, and the low air pressure altitude data hop amplitude is small.

The invention discloses an order withdrawing processing system and method. The order withdrawing processing system comprises a synchronization server, an asynchronization server and an operation platform. The synchronization server comprises a receiving end and a processing end, and a plurality of user-oriented units are connected to the processing end in series. The asynchronization server is provided with a plurality of merchant-oriented units. The receiving end of the synchronization server receives the order withdrawing operation of a user, the order locking information of the user is generated and sent to the processing end, the processing end conducts user-oriented information processing according to the respective functions of the user-oriented units sequentially, an order withdrawing instruction is generated after processing is over, and the order withdrawing instruction is sent to the operation platform. After the synchronization server generates the order withdrawing instruction, a backstage processing instruction is sent to the asynchronization server, the asynchronization server conducts merchant-oriented information processing according to the respective functions of the merchant-oriented units in sequence, and the entire processing process is calibrated after processing is over.

The invention provides a partitioning method and device for an endoscope fluorescence image and a storage medium. The method comprises the steps that a convolutional neural network is acquired, wherein the convolutional neural network is obtained in the mode that a part of image is randomly selected from a collected fluorescence image to serve as a training set, a target image of interest is partitioned from the selected image, a tag is added to the target image, and an image bock with a pixel point exceeding a set threshold being the center in the training set and a tag of the image block areinput into a neural network for training; and the to-be-processed endoscope fluorescence image is acquired and input into the convolutional neural network, and an image partitioning result is obtained. According to the method, the convolutional neural network is utilized to convert a partitioning problem of the optical operation navigation endoscope fluorescence image into a dichotomy problem ofimage pixel points; and through continuous training and optimization of a whole system, inhomogeneity of the optical operation navigation endoscope fluorescence image is effectively overcome, and thetarget of interest in the image is accurately extracted.

The invention relates to a badminton landing position prediction method based on computer vision. According to a video frame picture obtained from a badminton match video, the perspective transformation relationship between a badminton field and a model field in the video frame picture is calculated according to the video frame picture obtained from the badminton match video, and a badminton fieldmodel is determined. Then the motion region detection module uses the time difference method to distinguish the motion region and the background part. Binary image processing, image segmentation, contour tracking are performed on a difference image and then the characteristic information of badminton is extracted; the flight trajectory of badminton is determined by trajectory tracking algorithm;Kalman filter algorithm is used to predict the trajectory location of badminton. According to the location of trajectory falling point, the coordinate of actual badminton court is transformed by perspective transformation, so as to realize the prediction of the location of badminton falling point. The method can be used to predict the badminton landing position in the complex scene when the illumination changes gradually, the wind speed influence, the airflow influence or the badminton speed is very fast.

The invention discloses a multi-point touch identification method for an infrared touch screen, which comprises the steps of determining a rectangular plane coordinate system by taking one corner of the touch screen as the origin of coordinates; scanning the infrared germinate transistors on the screen in the X axis and Y axis directions of the rectangular coordinate system, forming orthogonal light paths according to the shield signals of touch points, and primarily determining the touch point by the crossing point of the orthogonal light paths; performing oblique axis light path scanning in the X or Y axis, and calculating the linear distance between the lowering points, wherein crossing lines are formed by the oblique axis light path at the crossing point of the orthogonal light paths in the X or Y axis and the lowering points are formed by the crossing lines at an infrared receiving tube; and determining the position of the real touch point according to the crossing point of the orthogonal light paths and the linear distance between the lowering points. The multi-point touch identification method for the infrared touch screen has the advantages of accurately determining the real touch point by scanning the primarily determined point by an oblique axis light path scanning mode, and being fast in computing speed without causing errors due to the abnormity of a certain LED (light emitting diode) on the touch screen.

Methods are described for double-side-biasing of a NAND memory array device comprising a plurality of charge trapping memory cells for programming and erasing the NAND memory array device. A double-side-biasing method applies a bias voltage simultaneously on a first junction (a source region) and a second junction (a drain region) so that a left bit and a right bit in a charge trapping memory cell can be programmed in parallel or erased in parallel. Random (or selective) bit program and random (or selective) bit erase can be achieved by using a double-side-biasing method on a NAND memory array device for both data and code application. A first type of double-side-biasing method is to program the NAND array with a double-side-bias electron injection. A second type of double-side-biasing method is to erase the NAND array with a double-side-bias hole injection.

The invention discloses a neural network convolution operation device and method. The device is used for realizing convolution operation of a weight value matrix and a neural element matrix in a neural network via a matrix multiplication manner, and comprises a displacement operation unit, a matrix multiplication operation unit and a controller, wherein the displacement operation unit is used forrespectively carrying out winograd transformation on the neural element matrix and weight value matrix so as to obtain a transformed neural element matrix and a transformed weight value matrix; the matrix multiplication operation unit is used for carrying out a matrix multiplication operation such as counterpoint multiplication on the transformed neural element matrix and the transformed weight value matrix so as to obtain a multiplication matrix; the displacement operation unit is furthermore used for carrying out winograd inverse transformation on the multiplication matrix so as to obtain aconvolution operation result; and the controller is used for controlling the displacement operation unit to carry out the winograd transformation or the winograd inverse transformation, and controlling the matrix multiplication operation unit to carry out the matrix multiplication operation.

The invention discloses a vehicle-mounted weighing system of a dumper for a surface mine. The weighing system comprises a PC machine, a main controller, a pressure sensor, a double-shaft inclinometer, an overload signal lamp, a full-load signal lamp, a no-load signal lamp, a power supply, a brake locking switch, a carriage lifting switch and a speed sensor, wherein the pressure sensor, the double-shaft inclinometer, the brake locking switch, the carriage lifting switch, the speed sensor and the power supply are connected with an input end of the main controller; an output end of the main controller is connected with the overload signal lamp, the full-load signal lamp and the no-load signal lamp; and the PC machine is in bidirectional connection with the main controller. By using the system, the load of a large-tonnage dumper for the surface mine can be automatically measured, displayed and recorded and an overload alarm can be sent.

The invention relates to a Montgomery modular multiplication method and a circuit thereof. In the method, a modular length k=sw, wherein w is a word size processed each time by an algorithm, and s is the frequency required by the circulation of the algorithm for; input parameters include a, b and a modulus n; r is a memory, a high k place is used for accommodating the input parameter a and an r2 of an output result, and a lower k place is used for accommodating an r1 of the input parameter b; t is a temporary calculation result of a polynomial, and the rest is intermediate variables. Calculation steps are as follows: calculating according to a formula that r2=MonPro(a,b,n)=a*b*2<-k> mod n, assigning zero for t and i, ensuring that r32=r[i], supposing the i to be 0 and starting external circulation, calculating according to formulae as follows: (c,z1)=t[i]+r[i]*r32, (c, z1)=z1*n0', x2=z1 and x1=r[i], supposing j to be 0 and starting the internal circulation, calculating according formulae as follows: (c, t[i+j])=t[i+j]+x1*r[i]+x2*n[i]+c and t[i+s]=c, adding 1 to the variable j, repeating the internal circulation when the j is smaller than the s, and quitting the internal circulation otherwise, adding 1 to the variable i, repeating the external circulation when the i is smaller than the s, and quitting the external circulation otherwise, judging whether the high k place of the t is larger than n, if yes, enabling that r2=r2-n and assigning the low k place of the t to the r2 otherwise, and outputting a modular multiplication result according to the r2. According to the method and the circuit thereof, the calculating speed of the algorithm can be increased, and the power consumption is reduced.

The invention relates to a face recognition system based on a low-consumption embedded platform. The face recognition system based on the low-consumption embedded platform comprises an ARM (advanced RISC machines) core processing module, a video acquisition module, a display module and a peripheral data transmission interface. The ARM core processing module is respectively connected with the video acquisition module, the display module and the peripheral data transmission interface. The video acquisition module acquires video signals and transmits the signals to the ARM core processing module. The ARM core processing module converts the video signals into image signals, then performs face detection, eye positioning, face image standardization, feature extraction and recognitive comparison to the image signals, and displays detection and recognition results on the display module, or outputs the results through the peripheral data transmission interface. Compared with the prior art, the face recognition system based on the low-consumption embedded platform has the advantages of low power consumption, high computing speed, high recognition precision, wide range of application and the like.

The invention provides a detection kit for mycoplasma pneumonia (PM). The detection kit comprises a nucleic acid releasing agent and PCR (polymerase chain reaction) reaction liquid, wherein the nucleic acid releasing agent comprises 0.01-0.5mM/L of surfactin, 20-300mM/L of potassium chloride, 0.01-2% of sodium dodecyl sulfate and 0.05-1% of ethanol, and the PCR reaction liquid comprises a forward primer and a reverse primer which are used for amplifying targeted polynucleotide as well as a probe for detecting the targeted polynucleotide. The detection results of extracting nucleic acid by utilizing a nucleic acid releasing method and a boiling method have no obvious difference, and a strong albuminous denaturant is utilized for destroying a coat protein structure of a pathogen rapidly so as to release the nucleic acid of the pathogen and release and extract the DNA (deoxyribonucleic acid) without heating. The sensitivity of the kit for detecting MP can reach 400copies/ml, and the quantitative linearity range is 400-4.00E+09copies/ml. The kit can be used for rapid and accurate detection of MP-DNA in unknown samples such as sputum, throat swab and the like, thus providing reliable experimental basis for mycoplasma pneumonia infection.

The invention discloses a data processing method and device and relates to the technical field of distributed computation. Computational node mixed establishment distributed computation systems of multiple processor types can be adopted, for example, computational nodes and the like CPU processors are adopted in the whole computation system in a mixed mode, preset corresponding types of vector templates are adopted to load input data of a user according to the data types, then before computation vectors are split into computation sub-vectors to be distributed to the computational nodes for computation, OP operators edited by the user are firstly split into combinations of sub-operators, the computational nodes matched with the processor types during computation of the computational nodes are judged, and then data is sent to corresponding computational nodes for computation. A computation platform is achieved in a heterogeneous mode, the computational nodes of different processor types are used in parallel, and the universality and compatibility are improved.

The invention discloses a farmland machine leading line extraction algorithm based on machine vision. The method comprises the following steps that a color farmland image obtained by a CCD is grayed through an improved ultrafiltration algorithm, and an image with a target distinguished well is obtained; then an improved Otsu algorithm is utilized for carrying out binaryzation threshold processing on the image; the morphology algorithm of corrosion, expansion and opening and closing operation is adopted to remove image noise; main crop rows are extracted, Hough transformation is adopted to match a leading line to calculate course deviation, parallel leading lines are obtained, and feedback information is provided for real-time heading correction. According to the algorithm, image processing steps and procedures can be simplified, the defects that a previous algorithm is poor in adaptability and precision and low in processing speed are overcome, the universality of the algorithm is improved, and when the algorithm is used for treating different crops, the accurate leading lines can be provided. It takes about 200 ms to process one image, and the requirement for real-time navigation of farmland machines can be met.