378 results about "Inverse operation" patented technology

A method is provided for incrementally refreshing a materialized view after multiple operations on a row of a base table of the materialized view, by determining an equivalent operation for the multiple operations and refreshing the materialized view according to the equivalent operation. The method is applicable to a materialized view based on multiple base tables on which multiple operations have been performed. The step of determining the equivalent operation can include identifying rows for which an earliest operation is a DELETE operation, or rows for which a latest operation is an INSERT operation, or a combination of the two. The step of refreshing the materialized view includes performing an inverse operation of the equivalent operation to determine a pre-update state of the row, and refreshing the materialized view based on the pre-update state. Additional embodiments are provided which enhance the performance of materialized view refresh queries.

The present invention relates to a track control system for hydraulic excavator working equipment and its method. Said system includes the following main components: DSP, moving arm angle detection mechanism, bucket arm angle detection mechanism, bucket angle detection mechanism, hydraulic cylinder, engine, working equipment and its driving cylinder and CAN bus. Said invention also provides the concrete steps of said control method. It can implement automatic control of hydraulic excavator working equipment, and can accurately and stably control the position and attitute of said hydraulic excavator working equipment so as to raise its working efficiency.

An apparatus and method for processing video data are provided. The method includes determining a primary transform CN for application to residual data at the encoder, determining a secondary transform TrK for application to the residual data, applying the primary transform CN to the residual data, and selectively applying the secondary transform TrK to the residual data, wherein N denotes the length size of the input vector on which the primary transform CN is applied, and K denotes the length of the first few coefficients of the primary transform output on which the secondary transform TrK is applied. Similar inverse operations are performed at the decoder, viz., selectively applying an inverse secondary transform inv(TrK) at the decoder for the input residual data, followed by application of the inverse primary transform inv(CN).

The invention belongs to the field of distributed storage technology and particularly discloses a game account management method based on a block chain. According to the method, an operator generatesthe block chain and generates and maintains new blocks; the operator grasps a private key which represents an operator account; recharging is completed in the mode that the operator generates currencycreation transactions; each game player forms a private key corresponding to a respective account and uses a public key generated through the private key for login; the data blocks are sent to a whole network for each virtual currency transaction so that other players can verify the transactions; then the players return confirmation information respectively; and the transactions are locked of illegal operation is discovered, and the conditions of articles and virtual currencies can be restored by performing corresponding inverse operation in the block chain network. Through the method, the transactions have extremely high security, each transaction is verified and recorded by multiple parties and is difficult to tamper, and then the transactions are weakly centralized; and prosecution ofusers and other problems have good operability.

The invention provides a cross-chain operation method of a block chain and a block chain management system. The cross-chain operation method of the block chain comprises the steps that resource lock operation, original operation and inverse operation of respective block chain provided by each mechanism participating in cross-chain operation are acquired, each resource lock operation is performed firstly and the resources required by each mechanism participating in the cross-chain operation are locked; then all the original operation is performed in turn according to the performing order of all the original operation in the cross-chain operation, whether the cross-chain operation failure conditions are met is judged in the performing process, and unlock operation is performed to release the locked resources after all the original operation is completely performed if the judgment result is no; and if the judgment result is yes, the corresponding inverse operation of the performed original operation is performed, and the unlock operation is performed to release the locked resources so as to "recover" the consumed resources. According to the cross-chain operation method of the block chain and the block chain management system, the cross-chain operation can be realized by all the mechanisms participating in the cross-chain operation under the condition of maintaining the original block chain system so that the practicality of the cross-chain operation method of the block chain and the block chain management system can be enhanced.

The invention discloses a nonlinear robust controller design method based on back-stepping and sliding mode control technologies and aimed at a nonlinear model of a quad-rotor unmanned plane. A sliding mode controller of a speed-constant reaching law is designed to an attitude angle system of the quad-rotor unmanned plane, and rapid tracking for the attitude angle is ensured. To realize track tracking for the spatial position of the quad-rotor unmanned plane, a sliding mode surface and a virtual control quantity are constructed according to a stepping back control idea to realize nonlinear control law design and system stability design from the kernel to the external layer of a system. After an equation of the related virtual control quantity is obtained, an expected track value of the attitude angle is obtained by solving the equation via arithmetic inverse operation, and a design method of the speed-constant reaching law is used to determine a final input control law of the quad-rotor unmanned plane system. According to the method of the invention, the characteristic that sliding mode control is uncertain for the model and insensitive to external interference is utilized, robust trace tracking for the nonlinear quad-rotor unmanned plane can be controlled under interference.

The invention relates to an inverse operation method for a lower triangle complex matrix with any order. The inverse operation method comprises the following steps that (1) a reciprocal obtaining unit is set, and is used for carrying out reciprocal obtaining operation on a diagonal element of an N-order matrix L, and outputting a matrix obtained after reciprocal obtaining operation is accomplished; (2) a multiplication and accumulation unit is set and is used for receiving the matrix obtained after reciprocal obtaining operation is accomplished, and multiplication and accumulation operation is carried out on the first element to the (i-1)th element in the ith row in the matrix; (3) a reciprocal multiplication obtaining unit is set and is used for receiving the accumulation result corresponding to the elements in the ith row of the matrix, reciprocal obtaining operation is carried out on the accumulation result, and then the accumulation result processed through reciprocal obtaining operation is multiplied by a diagonal element in the ith row so that a matrix element of the ith row of an inverse matrix L-1 can be obtained. In the whole process, a plurality of multiplication and accumulation units are used for carrying out parallel calculation. The inverse operation method for the lower triangle complex matrix with any order has the advantages that the inverse operation of the lower triangle complex matrix with any order can be achieved, and restriction caused by the number of operation units does not exist; only the design of a multiply-accumulator with one plural adder and one plural multiplier is adopted, hardware resources are saved, and operation efficiency is ensured through an effective parallelization mode.

An associative, or content-addressable, memory device (101) and method based on waves is described. In this invention, arbitrary inputs are written as patterns which are interpreted as values of complex waves, discretized or analog, on one or more buffers (102,104). Information is transported via wave propagation from the buffers (102,104) to a cortex (103) or to multiple cortices, where the patterns are (1) associated using a mathematical operation for storage purposes or (2) de-associated through the corresponding inverse operation for retrieval purposes. The present associative memory is shown to emulate important behavioral properties of the human brain, including higher-brain functions such as learning from experience, forming generalizations or abstractions, and autonomous operation.

A first communication node, which transmits a packet including a data field and an FCS field, selectively transmits, to a second communication node, a first packet containing, in the FCS field, a first error detection code generated by performing a prescribed error detection code operation on a transmission packet or a second packet containing, in the FCS field, a second error detection code obtained by performing a prescribed operation on the first error detection code. The second communication node compares an error detection code C generated by performing the prescribed error detection code operation on a received packet with an error detection code F1 contained in the FCS field of the received packet, performs reception processing on the received packet with the understanding that it is classified as the first packet if the error detection codes C and F1 coincide with each other, compares the error detection code C generated by performing the prescribed error detection code operation on the received packet with an error detection code F2 obtained by performing an inverse operation for returning a result of the prescribed operation to an original on the error detection code F1 contained in the FCS field of the received packet, and performs reception processing on the received packet with the understanding that it is classified as the second packet if the error detection codes C and F2 coincide with each other.

The invention discloses a training sequence frame timing synchronized method based on pseudo-random sequence modulation, which can be applied in an orthogonal frequency division multiplexing system or a single carrier frequency domain equalization system, and comprises the following steps: (1) carrying out an energy detection by using the relevance of the front part and the back part of a training sequence at a receiving terminal; (2) taking the certain range around the peak position of the energy detection as a rough synchronization timing range; (3) in the rough synchronization timing range, using a local frame leading sequence generated by the receiving terminal to carry out the cross-correlation with a receiving sequence, according to the peak position of the cross-correlation, determining the position of the local frame accurate synchronization timing, wherein the first half part of the leading training sequence is gained by modulation of cascade sequence of self-correlation of a plurality of constant amplitude zero values by adopting the pseudo-random modulation sequence, and the second half part thereof is inverse operation of the first half part. The method can gain higher timing accuracy by using the pseudo-random modulation sequence to carry out the complex fine synchronization.

The invention aims at providing an orthogonal frequency division multiplexing (OFDM) underwater acoustic communication parallel iterative inter-carrier interference (ICI) elimination method. The method includes the steps of building an OFDM underwater acoustic communication system, building an acoustic time varying multipath channel model, measuring Doppler factors in the system, estimating frequency response of a time varying channel, estimating an ICI component and a signal interference noise ratio (SINR), and carrying out parallel iterative minimum mean square error (MMSE) equilibrium to received signals. Through combination of a linear approximation method and the MMSE method, and through iteration to improve performance, the parallel iterative ICI elimination method is inducted into the OFDM underwater acoustic communication system, and the method can effectively resist the ICI generated under the underwater acoustic time varying channel, and the OFDM underwater acoustic communication system is steady in response to the change of channel time varying speed. Therefore, inverse operation of a high order matrix is avoided, complexity of the method is reduced, and arithmetic speed is improved.

We propose a dynamically tunable electro-optic cladding using our proprietary electro-optic material, applied to various circular and planar wave-guides along with specific electrode configuration and excitation electric field format appropriate to that material. Based on the evanescent field coupling phenomena, the proposed device may be used in variable optical attenuators, tunable filters and couplers, etc. Different design of applied electrodes and optical properties of controllable refractive index materials allow polarization dependent or independent, as well as direct or inverse operation regimes of proposed devices.

The invention discloses a multiple observed value vector sparsity self-adaptive compressed sampling matching pursuit method, which relates to the technical field of information and communication. The multiple observed value vector sparsity self-adaptive compressed sampling matching pursuit method is provided for solving the problem of recovering an original multiband signal from multiple observed value vectors with unknown sparsity after continuous-limited module conversion through sampling by a modulated broadband converter under an Xampling framework. The multiple observed value vector sparsity self-adaptive compressed sampling matching pursuit method comprises the steps of: conducting self-adaptive estimation on sparsity of a signal; updating the sparsity with a given step length factor through repeated iteration so that the sparsity gradually approaches the actual sparsity of the signal; correcting a support set through a backtracking thought and a minimum mean square criterion; stopping iteration until an residual error is less than a set threshold value; and finally reconstructing an original multiband signal through pseudo inverse operation by utilizing the obtained complete support set. The multiple observed value vector sparsity self-adaptive compressed sampling matching pursuit method can achieve the analog reconstruction of the multiband signal based on compressed sensing.

The invention relates to a method for realizing a universal digital signature scheme generating and verifying the digital content, comprising the following procedures: setting system parameters, generating a private key of the user signature and a public verifying key, and generating the digital signature in an off-line or on-line mode and verifying the digital signature. The invention creates a novel double-trapdoor chameleon function in a special way, so the limitation that the group inverse operation is needed when part of the data is calculated in advance in the background technique is solved, and the calculating amount is reduced; the limitation to the number of signers is removed; the problem of key leakage in the background technique of threshold digital signature scheme is solved; the calculating amount of the digital signature and verification is reduced; the signature length is shortened, and the memorizing requirement is reduced; therefore, the method has higher efficiency and better scalability.

The embodiment of the invention discloses a method, a device and a system for processing a train control message. The method comprises the following steps of: framing user data in real time and coding the framed user data; and verifying the correctness of the coding by using the inverse operation decoding of the coding, wherein if the decoding is reversible, the coding is correct; if the decoding is not reversible, the coding is wrong; and packaging the coded messages which are verified correct and transmitting the messages to ground electronic equipment. A message processing flow of framing in real time, coding, verifying and sending the user data transmitted by a bus is formed. On the basis of the European railway transportation management system coding standard UNISIG SUBSET-036, the embodiment of the invention improves the real-time of the message processing flow, greatly reduces the time consumption and overcomes the shortcomings that the efficiency of transmitting a plurality of commands such as temporary speed limit command at the same road section and the like is low and constraints such as the number limit of the transmitted commands and the like in the prior art by checking the conditions in advance, setting a caching mechanism for a BCH calculation process, performing parallel operation, constructing a reverse query character table and the like.

The invention discloses a deep learning-based dual-supervised lightweight image defogging method, system, medium and equipment. The method comprises the following steps of: obtaining a foggy image anda label fog-free image; constructing a neural network system; training the neural network system; inputting the foggy image into the neural network system to obtain a first transmission image, and performing an image restoration algorithm on the foggy image to obtain a second transmission image; performing mean square error calculation on the first transmission map and the second transmission mapto obtain a loss function Lt; performing atmospheric scattering model inverse operation on the first transmission image to obtain a defogged image; comparing the defogged image with the label fog-free image to obtain a loss function Ld; combining Lt and Ld according to a set proportion to obtain Ltotal; inputting the foggy image into the trained neural network system to obtain a defogged image. The system comprises a foggy and non-foggy image sample acquisition module, a neural network system construction module and a neural network system training module. The network parameter magnitude is small, the training time is short, subjective setting can be avoided, and the defogging effect is enhanced.

The invention discloses a method, a device and a system for random linear network encoding, which relate to network encoding and aim to solve the problems of troubled process and long time consumption of the prior network encoding technology. The method for the random linear network encoding provided by the embodiment of the invention comprises the following steps: dividing original data into at least two data blocks sequentially; determining at least two coefficient units, wherein the length of the coefficient units is the same as the number of the data blocks, and the coefficient units comprise two elements; performing bitwise AND operation on the data blocks and the corresponding coefficients to acquire encoding data blocks; and performing bitwise OR operation between the encoding datablocks to acquire encoding packs. A method for decoding the random linear network encoding comprises the following steps: simplifying the coefficient units in the encoding packs through the inverse operation of bitwise OR operation, and acquiring the original data. The method, the device and the system for the random linear network encoding are suitable for the network encoding with high encodingefficiency requirement.

The invention discloses a humanoid robot gait planning method based on human body teaching. Human body movement information is used for gait planning of a humanoid robot. The joint driving angle of the robot is obtained through inverse operation of skeleton information during human body movement. The mass center track information of the robot is estimated through human body teaching data in orderto meet the stability during movement of the humanoid robot. Compensation control is conducted on the driving angle of the robot by combining a ZMP criterion and a robot mass center-angle jacobi matrix. In selection of supporting feet, switching of the supporting feet during human body teaching is judged through a hysteretic curve, so that selection of the supporting feet of the robot is determined. The humanoid robot gait planning method based on human body teaching greatly simplifies the complexity of humanoid robot gait planning, and the movement process of the robot is more personified through the gait planning based on human body teaching.

The invention discloses an adaptive difference expansion-based reversible image watermarking method, which comprises a watermark embedding process, a watermark extraction process and an image recovery process; before watermarks are embedded, the original image needs to be pretreated, and the pretreatment comprises alternated division, difference calculation, image complexity calculation and parameter setting; in the embedding process, the corresponding watermarks are embedded by using adaptive expansion; additional information is embedded, and the watermark data and the additional information are mixed and embedded under a specific condition; in the extraction process, the additional information is first extracted, and the difference is calculated; the inverse operation of the adaptive difference expansion is performed, the watermark data are extracted, and the original difference is reduced; and finally, the image is reduced through the reduced difference. The method has reversibility, and can provide higher embedding capacity and better image quality, particularly under the condition of many embedded watermark data.

The present invention relates to an encryption technique of television products. The present invention provides a static audio and video file encryption method by a mode of performing data codeword matching to file contents, and provides a decryption method for the encryption method. The static audio and video file encryption method includes the following steps: a. inserting an extracode to the compressed files head, wherein the extracode includes a display starting time, a display finish time, encryption signs, encryption codeword; b. dividing the compressed files with inserted extracode into original data packets with fixed length; c. performing convolution to each original sub-packet, and then XOR with the encryption codeword to generate an encryption data packet; d. embedding the encryption codeword into a fixed positon of the encryption data packet, to generate a new encrypted data file. The static audio and video file decryption method adopts the corresponding inverse operation. The inventive method ahs small encryption calculation amount, and is suitable for the main chip of television set with slower operation speed.

Systems and methods for in-field camera calibration in a stereovision system may include using a plurality of cameras to capture an image pair, the image pair comprising images of a scene; identifying infinite points on the images of the image pair using a calibration circuit; the calibration circuit determining a disparity amount between corresponding infinite points for each camera; and the calibration circuit determining an inverse operation to reduce the determined disparity amount between the corresponding infinite points. Systems and methods may also include a calibration circuit identifying corresponding points, in which the corresponding points include a point on a first image of an image pair corresponding to a point on a second image of the image pair; determining a translational disparity amount between the corresponding points for each camera; and determining an inverse operation to reduce the determined translational disparity amount between the corresponding infinite points.

The invention discloses a walking posture control method of a humanoid biped robot based on a genetic algorithm. A mathematical model of a biped robot is established based on the ZMP control theory and a pose matrix, and the basic gait of a human is simulated. V, height H, arm swing R, body center up and down swing C, body center left and right swing A These six parameters plan the robot's gait, and select optimized T, V, H, R through genetic algorithm The six parameters of , C, and A are brought into the inverse operation of the pose matrix to obtain the values ​​of other joint coordinates of the robot, and solve the method of generating data that stably controls the gait of the robot. It overcomes the problem of large amount of calculation and low efficiency in inverse operation of pose matrix, improves the real-time response ability of the system, and uses the data generated by this method in the humanoid biped robot system to achieve a good control effect.

Disclosed is a method and a device for security-inspection of liquid articles with radiations, which relate to the field of radiation inspection technology. The method comprises steps of acquiring original environment information, emitting radiation beams to transmit the liquid articles, receiving the radiation beams transmitted through the liquid articles to form multi-angle projection data, computing a radiation absorption coefficient of the liquid articles to be detected by inverse operation of the multi-angle projection data, based on the initial environmental information and the uniformity of the liquid articles, and comparing the radiation absorption coefficients with the preset data to get the relevant information of the liquid articles. Comparing with the prior art, the present invention is not subjected to affection of cuter package of the liquid article, and is advantageous of high anti-jamming high accuracy, high safety and reliability, low cost and small size.

The invention discloses a Reid-Solomon coder decoder and a decoding method thereof. The Reid-Solomon coder decoder comprises an adjoint polynomial coefficient calculation module, a buffer module, a wrong position and bit error valve calculation module and an error correction module, wherein, the adjoint polynomial coefficient calculation module is used for receiving code words which are needed to be decoded and calculate an adjoint polynomial coefficient; the buffer module is used for buffer-memorizing the received code words needed to be decoded; the wrong position and bit error valve calculation module is used for determining wrong positions and calculating bit error valves; and the error correction module is used for correcting the corresponding code words in the buffer module according to the wrong positions and the bit error valves. A circuit for implementing an IBM iterative algorithm is provided according to the IBM iterative algorithm. The circuit is used for calculating a wrong position polynomial coefficient and an error valve polynomial coefficient during the RS coding process; and the IBM iterative algorithm is adopted, so the finite field inverse operation is not needed, the hardware source consumption is lower, and the computing speed is faster. The Reid-Solomon coding decoding can be carried out in a system with higher running frequency.

The invention discloses an SAR image transmission method based on compressed sensing and channel self-adaption. The SAR image transmission method comprises the steps that first, input SAR images are divided into small images with the same size; direction elevating and wavelet transformation are conducted on each small image; zero setting is conducted on coefficients with small amplitude values, only large coefficients in a small proportion are reserved, and then random measurement is conducted on a wavelet coefficient by a random matrix; then quantization is conducted on measurement values. Sampling values after being quantized are packaged before transmission. Random drop and error codes are added in a simulation transmission channel. The inverse operation of the above steps, namely, packaging, inverse quantization, wavelet coefficient reconstruction, wavelet inverse transformation and image combination, are conducted at a receiving end. According to the SAR image transmission method based on the compressed sensing and channel self-adaption, compressed sensing is used as an encoder of the SAR images, only two times of matrix multiplication are needed in the encoding process, and encoding of the SAR images is made to be simple. Due to the fact that an encoding end of the SAR images is placed in flight equipment such as an unmanned plane generally, the encoder is as simple as possible. The compressed sensing is introduced to be used as the compression encoder of the SAR images, and the problem that encoding of the SAR images is complex is solved.

The invention provides a hyper-spectral image compression and encryption method. The method comprises the following steps of performing coding in a wavelet transform three-dimensional set partitioning in hierarchical trees (3DSPIHT) coding way, simultaneously performing encryption, constructing a scrambling table in a Logistic mapping way to scramble an initial list of insignificant pixels (LIP), continuously iterating a Chen's model until all bits of data of significant types are encrypted, and in a decryption process which is the inverse operation of encryption, continuously updating an initial value of the Chen's model to decrypt the data of the significant types to make the decrypted data gradually approximate to an original image and finally reproduce the original image. According to the method, forward dependence of a 3DSPIHT coding method is utilized, and the data of the significant types is selectively encrypted in real time in a compression process, so that the encrypted data volume of the image is reduced, and the image transmission and encryption efficiency is improved; and the encrypted data volume of each significant type in a bit plane is calculated, and an initial key is scrambled after preprocessing, so that the sensitivity of the coding method to a plaintext is improved.

An associative, or content-addressable, memory device and method based on waves is described. In this invention, arbitrary inputs are written as patterns which are interpreted as values of complex waves, discretized or analog, on one or more buffers. Information is transported via wave propagation from the buffers to a cortex or to multiple cortices, where the patterns are associated using a mathematical operation for storage purposes or de-associated through the corresponding inverse operation for retrieval purposes. The present associative memory is shown to emulate important behavioral properties of the human brain, including higher-brain functions such as learning from experience, forming generalizations or abstractions, and autonomous operation.