63 results about "Lifting scheme" patented technology

The invention publishes a medical image ROI compression method based on a lifting wavelet and a PCNN, which comprises the following steps of: circling a region of interest by a doctor, and separating the region of interest from a region of no interest by a difference image method; adopting lossless compression in the region of interest, constructing compactly supported biorthogonal wavelet transformation through a lifting scheme, and then carrying out Huffman encoding; adopting lossy compression in the region of no interest, segmenting gray-value pixel approximate points through the PCNN, carrying out ignition operation, and then carrying out run-length encoding; and finally carrying out inverse transformation restoration, merging the region of interest and the region of no interest, and eliminating a boundary discontinuity problem through linear interpolation. Experimental results prove that the region of interest can be flexibly selected and controlled by the compression method, the used information for doctor diagnosis can be completely reserved, and the compression ratio is higher. Meanwhile, the computation for an ROI mask and the computation and the encoding for a wavelet coefficient difference value are omitted, the compression and decompression time and the algorithm complexity are reduced, and the image processing and transmitting efficiency is improved.

The invention belongs to the field of safety control on lifting operations and provides a virtual command module for large lifting operations and a working method of the virtual command module. The module comprises a live-action monitoring system, a virtual guiding system, a precise positioning system and a lifting mechanical analysis system. Visualization of global field monitoring of a lifting site can be realized, a virtual lifting rehearsal model is constructed on the basis of a BIM (building information model), and simulation and route optimization of a lifting process are realized through setting of working conditions and lifting parameters, so that lifting risks are mastered in advance, and a lifting scheme conforming to actual requirements is made; besides, through precise positioning and lifting mechanical analysis, automation and informatization of collision prevention and safety control on lifting are realized, accurate and direct early-warning information is provided for front-line commanders, unified and standard lifting commands are given to crane drivers, the crane drivers are assisted in completing lifting operations smoothly and safely, and the safe, real-time and effective technical support is provided for the large lifting operations.

A method and apparatus for compressing compound images of the type containing text, graphics and photographic imagery. This method and apparatus offer significant simplicity and computational efficiency by progressing fundamentally through a first processing phase, wherein an original compound image is first separated into (1) a foreground (text and graphics) layer, and (2) a more pixel-complicated background (photographic imagery) layer, all based upon a simple region-growing segmentation algorithm, and then a follow-up phase which involves individual and differentiated compression of the two segmented layers. Simple regional boundary encodation is employed for the foreground layer, and a lifting-scheme-modified ASWT algorithm is employed for the background layer.

The invention relates to an image lossless compression and decompression method based on lifting wavelet transform, belonging to the image compression field. The method comprises the following steps: the lifting scheme is utilized to obtain lifting wavelet, lifting wavelet transform is performed to an original natural image, the matrix transform of integer domain is completed to obtain restorable a wavelet coefficient which is an integer; and the wavelet coefficient is decomposed according to the characteristic of the wavelet coefficient to obtain low frequency coefficients and high frequency coefficients, and the obtained low frequency coefficients and high frequency coefficients are coded respectively so as to effectively increase the coding efficiency, wherein predictive coding is adopted for the low frequency coefficients and the SPIHT coding is adopted for the tree structure formed by the high frequency coefficients, thus the aim of lossless compression can be achieved and repeated comparisons in the SPIHT algorithm can be reduced. The method of the invention can increase the compression ratio and compression efficiency of the image as far as possible under the premise of ensuring that the image is undistorted.

For converting first and second blocks of discrete values into a transformed representation, the first block is transformed according to a first transformation rule and then rounded. Then, the rounded transformed values are summed with the second block of original discrete values, to then process the summation result according to a second transformation rule. The output values of the transformation via the second transformation rule are again rounded and then subtracted from the original discrete values of the first block of discrete values to obtain a block of integer output values of the transformed representation. By this multi-dimensional lifting scheme, a lossless integer transformation is obtained, which can be reversed by applying the same transformation rule, but with different signs in summation and subtraction, respectively, so that an inverse integer transformation can also be obtained. Compared to a separation of a transformation in rotations, on the one hand, a significantly reduced computing complexity is achieved and, on the other hand, an accumulation of approximation errors is prevented.

The invention discloses a method for electronically grading eggs through three-dimensional lifting. The method comprises the following steps: A. synchronous material loading; B. electronic weighing; C. three-dimensional lifting; and D. egg unloading and discharging. The invention also discloses a device for electronically grading eggs through three-dimensional lifting. The device mainly comprisesfour parts: synchronous material loading, electronic weighing, three-dimensional lifting and egg unloading and discharging. The method and the device have the following advantages: as the three-dimensional lifting scheme is adopted, all grades of eggs are unloaded in different spatial heights, the space is fully utilized and the problem that all grades of eggs can not be unloaded from the transport lines because of mutual interference of egg paths which are more than 2 paths during plane electronic weighing and grading and are more than 3 paths during plane mechanical weighing and grading is avoided, so dozens of egg paths can be arranged side by side, the grading efficiency is greatly improved and 0.1 million of eggs can be graded through 30 egg paths per hour; and static electronic weighing is adopted and the eggs are static on fixed egg trays during weighing, so weighing is accurate, the accuracy can reach + / -0.2g and breakage caused by weighing is slight.

The invention provides a lifting scheme-based optimization implementation method of 9 / 7 wavelet transformation. In the method, the times of shift operations in the computational process of a lifting scheme is effectively reduced by selecting a wavelet transformation lifting parameter which is suitable for being implemented on a high-speed hardware platform; and on the basis, an embedded boundary extension algorithm is adopted, an intermediate result cache region is established and the cache region initialized by using original data, so that stream processing capability is improved, accessing times are reduced, the time complexity of algorithm is reduced, saves memory space, and the space complexity of the algorithm is reduced. The experimental result shows that for the same image, the method and a CDF9 / 7 wavelet filter-based compression algorithm can achieve basically the same image recovery quality in a compression test, but the method is faster in operation.

A wavelet-based image compression system and method are presented. Compression is accomplished by performing a wavelet transformation of an input digital image. The resulting wavelet coefficients are compared to a threshold value. Coefficients falling below the threshold are discarded. The remaining coefficients are quantized. The quantized coefficients are then compressed using an entropy encoding technique, such as arithmetic, run length, or Huffman encoding, or a combination of Huffman and run length encoding. The wavelet transform can be an integer wavelet transform derived using a lifting scheme or correction method, while the quantization scheme can be sub-band oriented. Input color image pixels can be reduced using a color table. In addition, color pixels can be transformed between color spaces prior to wavelet transformation.

The invention relates to an analyzing and processing method of the reliability requirement of a power consumer, in particular to a computer assessment method of the reliability requirement of the power consumer in a marketing environment. The invention is combined with the requirements of power supply enterprises to research the method for assessing the power supply reliability requirement of any power supply region. The method comprises the following steps: providing key consumer characteristic information influencing the reliability requirement through analyzing the damage degree of power failure to consumers in different industries; and providing a region power supply reliability requirement grade quantitative evaluation method based on the consumer characteristic information through applying a fuzzy decision method. The invention aims to compare and measure the serious damage and loss degrees of power failure objectively according to regional consumer constitution, and develop the power supply reliability requirement more scientifically. The analyzing and processing method provides a certain reference for power distribution network planning and reliability lifting scheme decision.

The invention discloses an electric energy quality disturbance positioning and identifying method based on the lifting of the wavelet and the improvement of a BP neural network. The method comprises the following steps: using the Euclidean decomposition algorithm to obtain a db4 wavelet lifting scheme; performing lifting wavelet decomposition to the disturbance signal; in combination with the modulus maxima, performing the positioning detection to the disturbance mutation point peak; and utilizing the method of combining the self-adaptive learning rate with the incremental momentum term to improve and carry out disturbance identification to the BP neural network. The method of the invention can better obtain the disturbance period information, achieves fast positioning and high precision, and overcomes the shortcoming that a traditional BP neural network is prone to fall into local minimal points and slow convergence speed, therefore, achieving a high identifying rate for the power distribution network system's electric energy quality disturbance.

The invention belongs to the field of subway construction. In order to solve the problem that during urban subway excavation, seepage of an excavated tunnel face affects the construction of a mining project since there are no conditions for precipitation well construction due to surface ambient restraints, the invention provides a construction method of a large-diameter precipitation well in a subway mined tunnel; the method comprises: excavating a precipitation guide hole parallel to a mined tunnel, constructing a large-diameter precipitation well in the precipitation guide hole, discharging accumulated water in the precipitation well to a drain pipe through a water discharge pipeline, an intra-tunnel water collection chamber and a surface collection pit, and mining construction of the tunnel having no seepage at the tunnel face is achieved. The construction scheme focused on precipitation is adopted herein; by reasonably selecting the type of drill rig in connection with the drill rig and related conditions, the guide hole is set; a shaft and a passage space are utilized to make a drill rig lifting scheme; intra-tunnel precipitation and drainage are finally performed; accordingly, precipitation effect is good, and the mining project in the range can be conducted normally.

The invention provides a photoelectric signal preconditioning amplifying circuit of an auto iris for a digital gastrointestinal machine, comprising a reference source circuit and an I-V switching circuit, wherein the I-V switching circuit comprises a photodiode D1 and an I-V switching conditioning circuit; the photodiode D1 generates exciting current under the condition of visible light; the photodiode D1 is connected with the I-V switching conditioning circuit; and the I-V switching conditioning circuit is used for switching current signals into voltage signals. By using a new level lifting scheme provided by the invention, the level of a normal phase input end is lifted to dozens of millivolt, thus preferably solving the problem of insensitivity for weak signals; and meanwhile, the measuring range of an effective signal PHOTOSIGNAL is UO-VCC, thus a proper bias level UO is only selected to obtain sufficiently wide voltage output range.

The invention relates to a mechanical rubbing fault feature extraction method based on multi-wavelet kernel-support vector regression (SVR). The method comprises the following steps: 1) a vibration signal of a mechanical key component is measured and taken, and the signal is subjected to redundant lifting scheme wavelet (RLSW) decomposition; 2) each layer of detail signals and the last layer of approximation signals obtained by decomposition are subjected to adaptive singular value decomposition (ASVD) noise reduction; 3) a signal is reconstructed by redundant lifting wavelets, and a noise reduction signal is acquired; 4) with two interval three-time Hermite spline multi-wavelet scale functions as interpolation basis functions, a novel multi-wavelet kernel function is constructed; and 5) the vibration signals after noise reduction are divided into a training set and a prediction set, the training set is used to construct a prediction model, the prediction set is predicted, and a weak periodic impact component hidden in the original vibration signal is extracted by the prediction residual. Thus, the mechanical rubbing fault features can be extracted.

The invention discloses a method and device for simulating a lifting process of large-sized equipment, and belongs to the field of lifting computer simulation verification of equipment. The method comprises the following steps: creating a three-dimensional lifting model on a CAM platform, wherein each assembly in the three-dimensional lifting model is in a kinematic pair assembly relationship; calculating the motion parameters and equipment gravities of a main crane and a tail crane in the three-dimensional lifting model on the basis of practical sizes according to a preset lifting scheme, and simulating the lifting process of the large-sized equipment on the CAM platform according to the motion parameters and the equipment gravities; and acquiring the simulation lifting position of the large-sized equipment in the lifting process, comparing the simulation lifting position of the large-sized equipment with a preset lifting position in the preset lifting scheme, and lifting the large-sized equipment according to a comparison result. According to the method and device, the three-dimensional lifting model is created on the CAM platform, and kinematic pair assembly is performed on each assembly in the created three-dimensional lifting model to simulate the lifting process of the large-sized equipment, so that the simulation accuracy is increased.

The invention relates to a lifting scheme-based 9 / 7 wavelet inverse transformation image decompressing method, which comprises the following steps that: four wavelet coefficient data can be inputted to be processed during every clock cycle, and the processing capacity is improved by adding a parallel operational structure; by temporarily storing and scheduling an intermediate result, the repeatedcomputation can be reduced; an input port of the operational structure in which the symmetric data is arranged is directly joined, so a special symmetric boundary continuation processing procedure can be eliminated, and the delay of the entire flow process can be reduced; and finally four processing results can be outputted during every clock cycle, so the processing capacity and the processing efficiency of the method can be adequately reflected. The method is suitable for a large data size real-time decompression system.

Compression of images that have masked or “don't care” regions which are delineated by a binary image mask is achieved using “masked wavelet transforms.” A unique mask-dependent lifting scheme is used to compute invertible wavelet transforms of the input image for use in encoding and decoding the input image. These mask-dependent wavelet transforms are derived from the input image based on the masked regions within the image. Masked wavelet coding automatically generates an appropriate linear combination of available, unmasked, neighboring pixels, for both the prediction and the update steps of “lifting” for each pixel. This pixel availability is then used to change the wavelet function on a case-by-case basis as a function of the mask by using a polynomial of degree k−1 for interpolation in both the predict and update steps of lifting where at least k unmasked neighboring pixel values are available.

The invention discloses a mounting tool for an underwater horizontal connector. The mounting tool comprises a positioning plate, a drive plate and an aligning plate all in inverted U shapes. The positioning plate, the drive plate and the aligning plate are all sequentially and fixedly fixed on two parallel guide bars. The positioning plate, the drive plate and the aligning plate can be sleeved on the horizontal connector to be mounted. The mounting tool is provided with a radial locking mechanism capable of preventing the horizontal connector from moving radially along the radial locking mechanism. The radial locking mechanism comprises a rotating device and a retainer plate connected with each other. The drive plate can move along the guide bars. When moving along the guide bars, the drive plate can drive a drive ring of the horizontal connector to move; a power mechanism arranged on the aligning plate can drive the horizontal connector to axially move. According to the unique connector-separated lifting scheme design, a connector body is lowered and roughly positioned first before the mounting tool is lowered and precisely positioned; the stepwise implementation helps reduce loss caused by misoperation.

The invention relates to a character wave shape decomposition and reconstruction method based on Haar wavelet increase, wherein it uses wavelet interpolation (WI) voice code algorism; before decomposing the character wave shape extracted by present analysis frame, first transforming the amplitude spectrum of disperse time Fourier level (DTFS) into disperse cosine transformation (DCT) factor, then using the increase method of Haar wavelet transformation to multistage decompose and reconstruct the character wave, to code the decompose parameter of each level, and use the average value of phase spectrum distance and the basic sound period increment to judge the dull sound mark of present frame, to decide the fixed phase spectrum or random phase spectrum of code end. The Haar wavelet increase method can reduce the calculation complexity and memory space in the decomposition and reconstruction of character wave shape, without algorism delay, to obtain right composed sound quality in low speed of wave shape interpolation code algorism.

The invention discloses a feature extracting method for power load dynamic features. The method comprises the steps of S1, preprocessing the three-phase transient state current data reflecting the power load dynamic features, and selecting the sampling data in one cycle before a fault and in two cycles after the fault as samples; S2, selecting a wavelet basis, and determining the lifting scheme of the wavelet basis; S3, selecting a resolving layer number m and performing m-layer resolving on the three-phase transient state current data of each sample by utilizing the wavelet packet conversion with the lifting scheme; S4, selecting the wavelet packet to reconstruct original signals, wherein the signal number in the wavelet packet is marked as r; and S5, extracting a corresponding reconstruction coefficient and calculating an energy value Mij(k) as the sample number, wherein j is equal to 1, 2 and 3 respectively representing the three phases of currents, k is equal to 1, 2, 3, ellipsis and r represents a frequency band. The multiplication operation number of the wavelet packet conversion based on the lifting scheme is reduced by about a half, so a faster conversion speed is realized.

The invention discloses a repairing vehicle lifting scheme without affecting bridge floor traffic. The scheme includes that a winch platform is arranged on a beam or a pier, a lifting point is arranged on an original cart rail, a winch steel wire rope is connected with a repairing vehicle on a barge through a pulley block, and the repairing vehicle is lifted by a chain block to be connected with arail after a cart is lifted by operating the winch to approach to the rail. The lifting scheme solves the problems that in existing scheme, bridge floor traffic is jammed, and a large vehicle possibly impacts a lifting vehicle. All constructions are implemented under a bridge, traffic control of a bridge floor is omitted, an emergency lane only needs to be temporarily closed and used for carryingof devices and temporary on and off duty of constructors, massive traffic jam of the bridge floor cannot be caused, construction under the bridge floor cannot be completely interfered by bridge floor, weather and outside interference is less, examination and approval of traffic police are omitted, construction speed and efficiency is effectively improved, social and economic effects are reduced,and the scheme has high practicability and wide applicability.

The invention discloses a wavelet base construction method for a ground penetrating radar signal based on a lifting scheme. A method for constructing a matched wavelet according to a biorthogonal wavelet theory and target signal waveform characteristics is provided for a problem of extraction of the characteristics of a hole detection signal at the back of a tunnel lining. The method is based on aperfect reconstruction filter condition and a lifting scheme wavelet, different lifting operators and dual lifting operators are acquired by carrying out lifting and dual lifting on an initial biorthogonal filter, and the actual characteristics of the ground penetrating radar signal is combined to construct a new biorthogonal wavelet base which not only meets the linear phase and the tight support but also has the advantages of being high in signal matching degree with the ground penetrating radar signal and the like. According to the wavelet base construction method for the ground penetrating radar signal based on the lifting scheme, the wavelet base is applied to quantitative analysis of hole defects of an indoor hole detection test, and compared with other types of wavelets, the wavelet constructed by the lifting scheme can more accurately identify the time and the position of a mutation point of the hole defect signal, and quantitative analysis of the position and the vertical dimension of the hole defect in the tunnel engineering can be realized more accurately, so that the reliability and accuracy of the ground penetrating radar on the defect detection are greatly improved.

The invention discloses a CDB97 wavelet transformation real-time image fusion method based on field programmable gate array (FPGA) hardware. By a CDB97 biorthogonal wavelet lifting scheme, images output by different detectors are dissected and reconstructed, and the implementation complexity of the hardware is simplified. When the hardware processes floating-point number operation, the real-time fusion of heterologous images is realized by an addition and multiplication operation method under a simplified A (1,6,5) floating-point number standard on the premise of meeting the wavelet forward and inverse transformation precision. By the method, the hardware processing speed of an FPGA is full exerted on the basis of meeting the fusion precision and the real-time fusion of the heterologous images is realized by using the CDB97 biorthogonal wavelet lifting scheme and combining the simplified A (1,6,5) floating-point number standard.

The present disclosure relates to a wavelet transform apparatus and method based on a prediction-update lifting scheme, and an adaptive prediction apparatus and method and a recording medium for the same. The disclosure comprises the steps of: setting first updated even polyphase samples influenced when being updated from corresponding odd polyphase samples, setting plural candidate groups for prediction direction based on the set first updated even polyphase samples, selecting a first prediction direction from the candidate groups to minimize the energy in a high band, obtaining a first prediction value based on the first prediction direction and the updated even polyphase samples corresponding to the first prediction direction, and obtaining residual odd polyphase samples by deducting the first prediction value from the corresponding odd polyphase samples. Therefore, the present disclosure is able to increase encoding efficiency by minimizing energy transfer to a high band signal when removing the spatial correlation within an image using a directional wavelet transform designed based on the prediction-update lifting scheme.

A signal detection device allows wavelet transformation of an object signal to be performed in real time by using a real signal mother wavelet. The signal detection device has: an object signal decomposition unit having a lifting scheme structure or a multiple analysis structure relying on multiresolution analysis; a parasitic filter coupled to a desired decomposition filter of the object signal decomposition unit, with the parasitic filter being configured such that a real signal mother wavelet is inputted to the object signal decomposition unit and a generic discrete wavelet transformation is performed, the parasitic filter substantially reproduces and outputs the inputted real signal mother wavelet, and with the real signal mother wavelet being made up of the object signal; means for inputting the object signal to the object signal decomposition unit and performing discrete wavelet transformation using the real signal mother wavelet; and means for computing a wavelet instantaneous correlation on the basis of an output of the parasitic filter.

The invention discloses a construction method of a longitudinal moving tied-arch bridge. After an assembled gantry crane lifts arch bridge steel crossbeams and arch rib supports are installed, in thearch rib lifting, longitudinal moving, splicing and butt joint processes, the gantry crane is used for conducting lifting, a heavy object is carried / jacked through a heavy object shifter installed ona longitudinal moving track so as to conduct longitudinal moving splicing installation, jacking sensors acquire the jacking displacement, a longitudinal moving sensor acquires the horizontal displacement, the jacking displacement and the horizontal displacement are fed back to a PLC control unit, and the PLC control unit unitedly controls the heavy object jacking and / or longitudinal moving condition in a coordinating mode. When a conventional cable crane segmental lifting scheme cannot be implemented, through the longitudinal moving track erected in a site, a dragging device, an anti-side-turndevice and a three-dimensional accurate adjustment system, arch ribs and cross braces which are integrally assembled outside the site are integrally and longitudinally moved to the designed position,and bridge construction can be finished guaranteeing both the quality and the quantity.

The invention relates to a sewing machine pressor foot lifting device, which comprises a machine frame, a pressor foot assembly, a pressor foot lifting crank, a pressor foot lifting connecting rod and a pressor foot lifting propping rod, wherein the pressor foot lifting crank is arranged on the machine frame, the sewing machine pressor foot lifting device also comprises an electromagnet and an electromagnet crank, the electromagnet is arranged on the machine frame, an iron core is arranged in the electromagnet, an electromagnet pull rod is connected onto the iron core, two ends of the electromagnet pull rod are respectively connected with the electromagnet pull rod and the electromagnet crank, a groove is formed in the machine frame, and the electromagnet is placed in the groove. Compared with several pressor foot lifting schemes in the market in the prior art, a system provided by the invention has various advantages that the structure is simple, the cost is low, the appearance is attractive, compactness is realized, users can adjust the pressor foot position, and the like.

The invention discloses a method for detecting transient disturbance of electric energy quality in real time. The method comprises the following steps of: 1) constructing complex wavelets on the basis of a basic wavelet function; 2) lifting the constructed complex wavelets according to a basic principle of lifting wavelets, and obtaining a lifting scheme of the complex wavelets by using a Euclidean decomposition algorithm; 3) performing lifting transformation on fundamental frequency signals and transient disturbance signals of an electric network respectively by using the lifting scheme; 4) subtracting the phase DP obtained after lifting the disturbance signals from the phase SP obtained after lifting the fundamental frequency signals, namely ensuring phase information W=SP-DP, and simultaneously, causing amplitude information to be the amplitude obtained after lifting the disturbance signals; 5) performing real-time detection and positioning on the disturbance signals by using the amplitude information and phase information; and 6) repeating the steps from the step 3) to the step 5), and continuously positioning and detecting the disturbance signals and estimating the disturbance amplitude in real time. The method is low in time consumption and high in instantaneity, is simple to implement, and has high algorithm accuracy; and by using the method, the transient disturbance signals can be accurately positioned and the amplitude can be accurately estimated.