221 results about "Boundary effects" patented technology

A system and method for predicting an enhancement layer macroblock. A base layer frame is divided into intra-coded and inter-coded regions. If any portion of the enhancement layer macroblock is covered by both an intra-coded base layer macroblock and an inter-coded base layer macroblock, predictions utilizing the intra-coded and inter-coded macroblocks are established independently to generate at least two prediction values. The at least two prediction values are then combined to give a prediction from which the enhancement layer block is coded. Various embodiments serve to smooth the boundary effect between intra-coded regions and inter-coded regions inside the inter-layer prediction for extended spatial scalability.

The invention discloses an explosive welding method for a large-area lead-steel composite board, in which a base steel board and a composite lead board are adopted. The method comprises the following steps of: adding a high-strength metal board on the surface of the composite lead board, and bonding the composite lead board and the high-strength metal board together with adhesives; and proportioning special explosive as follows: 45-48 parts of expanded ammonium nitrate, 48-51 parts of sodium chloride and 4-6 parts of pearlite, ensuring a detonation velocity range of 1200m/s-1500m/s and adopting slop type explosive distribution at a far end. The method disclosed in the invention realizes the support of the lead board so that the explosive welding of the large-area lead-steel composite board can be implemented; and the method has the advantages of eliminating negative effects of surface burn and boundary effect on explosive composite, ensuring that the lead-steel composite board has the primary composite rate being higher than 98% and higher bond strength.

The invention discloses a wavelet progressive data compression method, which is used in the wireless sensor network. A cluster head carries out the wavelet transformation and generates the wavelet coefficient while receiving the sensor data; when the wavelet coefficient reaches one data unit, the cluster head carries out the coding compression and transmits the coding compression result, the wavelet coefficient continuously generated by the cluster head forms the next one data unit, the operation is circularly carried out for forming the progressive data compression transmission. The invention solves the problem of the mismatching between the cluster head storage capacity and the sensor data quantity in the wireless sensor network, and the boundary effect brought by the wavelet transformation. The invention is suitable for the sensor network model based on the clustering.

The invention discloses a test device for testing flow characteristics of liquefied sand and a test method. The device comprises a vibration platform and a model box. Plastic face plates are adopted on two lateral faces of the model box, a horizontal rail is respectively arranged at the symmetrical positions of the plastic face plates, and a rigid circular pipe is placed between the rails. A steel wire rope is led out from the rigid circular pipe and connected with and pulls a force sensor, leads out the model box, then is connected with a dynamic displacement sensor, and finally is connected to a positive and reverse speed regulation motor. The test method comprises enabling saturated sand in the model box to achieve a liquefied state through the vibration platform, the motor drives the steel wire rope and then guides the rigid circular pipe to perform horizontal movement on the rails to measure the speed of the movement of the rigid circular pipe and horizontal tension force exerted on the rigid circular pipe, so that apparent viscosity of the liquefied sand is calculated, and the flow characteristics of the liquefied sand are analyzed. The test device for testing flow characteristics of the liquefied sand and the test method has the advantages of being high in efficiency, small in boundary effect and the like.

The invention belongs to the field of geomagnetic navigation, and particularly relates to a method for boundary compensation based on morphological characteristics of geomagnetic anomaly data. The method for boundary compensation based on the morphological characteristics of the geomagnetic anomaly data comprises the steps that regular meshing processing is conducted on the actually-measured geomagnetic anomaly data; a geomagnetic anomaly mesh data set is translated, so that a mean value is zero; two-dimensional empirical mode decomposition is conducted on the translated mesh data set with the zero mean value; the morphological characteristics of a two-dimensional empirical mode decomposition result are extracted; a data block unit is segmented and characteristic similarity redundancy of adjacent units is eliminated in real time; characteristic similarity redundancy of all the data block units is eliminated; a multilayer geomagnetic anomaly data boundary compensation database is established; boundary compensation is conducted on the geomagnetic anomaly data to be analyzed. According to the method for boundary compensation based on the morphological characteristics of the geomagnetic anomaly data, the problem of the boundary effect in local geomagnetic anomaly data analysis can be effectively solved, and compared with other methods, the method is better in applicability and better in use convenience.

The invention relates to a method for removing noises of a wind profile radar based on Hilbert-Huang transform. Based on a noise removing processor of the wind profile radar, the processor comprises an improved empirical mode decomposition module, a Hilbert transform module and a follow-up signal processing module. The method comprises the following steps that: 1) the noise removing processor of the wind profile radar receives an echo signal and utilizes the improved empirical mode decomposition module to obtain a series of natural mode function components of the echo signal; 2) the Hilbert transform is performed on each natural mode function component through the Hilbert transform module so as to obtain an energy spectrum value of the original signal; and 3) the follow-up signal processing module transforms the energy spectrum value of the original signal to obtain wind profile radar data after removing the noises. The invention has the following beneficial effects: the method has good adaptability, can obviously remove non-stationary interference, such as noises, and can especially and effectively remove the aliasing influence and the boundary effect of the adjacent frequencies.

The invention is suitable for the field of the oceanographic engineering and provides a bidirectional forced vibration experimental apparatus for a deep sea riser segment model under the action of uniform flow. The bidirectional forced vibration experimental apparatus comprises a deep sea riser module, end part prosthesis modules, horizontal sliding modules, vertical sliding modules and a measurement analysis control module, wherein both ends of the deep sea riser module are respectively connected with the end part prosthesis modules; the vertical sliding modules are respectively connected with the corresponding end part prosthesis modules and the corresponding horizontal sliding modules; the horizontal sliding modules are fixedly connected with the bottom of a trailer; and the measurement analysis control module is arranged on the trailer and is connected with the end part prosthesis modules, the horizontal sliding modules and the vertical sliding modules. In the invention, large-scale riser segments are adopted, so that a test Reynolds number is in the range of 106 for avoiding the scale effect; the double freedom degree forced movement is adopted to truly simulate the vortex-induced vibration form of a riser; and meanwhile, due to the adoption of end part prosthesis, the problem of the boundary effect at both sides of the model in an experiment is solved.

The invention relates the ultrasonic degumming method, comprising adjusting emulsion, hypersonic auxiliary enzymolysis and hypersonic auxiliary hydrating. The method comprises the following steps: after biological enzyme treatment fat, carrying out low water hydrated phase, carrying out ultra-audio wave radiation, and then carrying out water-oil separating. The invention can shorten treatment time and enzyme content, improves the boundary effect between oil and water, reduces biological enzyme density, advances the gelatinous hydrating, improves detaching efficiency, modifies weight of boil-off gum content, and reduces equipment investment and oil consumption, reduces cost.

Disclosed is a shield tunnel construction environment simulation unit. A foundation trench of the shield tunnel construction environment simulation unit is a rectangular reinforce concrete foundation trench. The tops of the left and right walls of the foundation trench are provided with channels. Columns on two sides of a moving reaction frame are disposed in the channels. A plurality of jacks are disposed below the moving reaction frame. The foundation trench is longitudinally divided into an environment simulation site and a starting well by a partition wall. The partition wall is provided with a shield entry. Fixed reaction grids are disposed on the left wall, right wall and front wall of the environment simulation site respectively. A plurality of horizontal jacks are disposed on the fixed reaction grids. A sliding retainer wall unit is arranged in front of the jacks and is disposed at the bottom of the environment simulation site through slides. The jacks on the fixed reaction grids and the jacks on the moving reaction frame are both connected with a hydraulic loading device. The shield tunnel construction environment simulation unit is in an open large-space structure, capable of simulating rich stratum environments, available for large-scale similar model experiments, capable of effectively eliminating boundary effect, capable of more truly reflecting the complex shield tunnel construction environment, and is highly reliable.

The invention belongs to the field of geotechnical engineering, and relates to a ground fracture expansion simulation device and a use method thereof. The ground fracture expansion simulation device comprises a framework, an observation window, a baffle plate, a lower disc support plate, an upper disc support plate, a preserved fracture, a variable-inclination-angle device, a bottom loading deviceand a side wall loading device, wherein an artificial portable rainfall device can also be arranged on the top of the framework; the artificial portable rainfall device controls the rainfall quantitythrough a flow rate measuring instrument. The loading device comprises a bottom loading device and a side wall loading device. The bottom layer base rock in a model box can simulate the influence ofthe positive and reverse fault movement, strike-slip fault movement, strike-slip positive fault movement and strike-slip negative fault movement on the upside covering soil body. In addition, the method has the advantages that the operation process is simple and convenient; economic performance is realized; considered factors are various; the problems of single substrate movement type, movement inclination angle change incapability, obvious boundary effects, rainfall influence ignoring and the like in an ordinary simulation experiment can be overcome.

The invention provides an automatic separation method for conglutinated chromosomes. The method firstly carries out immersion and corrosion processing operation based on a grey scale characteristic graph of chromosomes, and then carries out conditioned expansion recovery processing operation. The invention designs a grey scale characteristic graph-based morphological processing method to separate the chromosomes which are seriously conglutinated but are neither sheltered nor overlapped. The method solves the technical problems and fills up the technical vacancy of separating the chromosomes which are seriously conglutinated but are neither sheltered nor overlapped in the prior art, meets the requirements of accurately separating the conglutinated chromosomes and detecting the number of the chromosomes in medical fields of chromosome analysis, cell research, pathological analysis, and the like, and further improves the automaticity in a chromosome analysis system. The method provides individual chromosomes with good continuous boundary effect and independence for the automatic separation processing in the chromosome analysis system, and particularly keeps concave and convex details of original chromosome image boundary completely and clearly so as to improve the separation automaticity of the conglutinated chromosomes and the accuracy of the chromosome number counting.

The invention discloses a porous medium penetration slip-casting multi-parameter monitoring device and a test method thereof. The monitoring device comprises a slip-casting apparatus, which his connected to an inlet cabin. The inlet cabin is connected to one end of a connection steel pipe through connecting pieces, and the other end of the steel pipe is connected to an outlet cabin through connecting pieces. A joint position of the inlet cabin and the steel pipe and a joint position of the outlet cabin and the steel pipe are both provided with filter plates. The steel pipe is provided with a press measuring device. Slurry discharge pipes are connected at the bottom of the steel pipe, and a volume measuring apparatus is disposed below each slurry discharge pipe and positioned above a weighing apparatus. The filter plate of the outlet cabin is connected with a screw, and the screw is provided with a lower packing box. The outlet cabin is equipped with a flow measuring apparatus. The monitoring device helps to solve the problem of monitoring key parameters during porous medium penetration slip-casting. Compared with conventional research, the monitoring device has the advantages that various parameters can be monitored, the monitoring precision is high, the boundary effect of the device can be eliminated, and the device is adjustable in dimension and simple to operate.

The invention discloses a composting method of a dovetail groove metal plate clearance fit interface. The compositing method is realized through the explosive cladding method, the rolling method and the like. According to the method, after a base plate with dovetail grooves and a surface plate with dovetail grooves are in interference fit, the base plate and the surface plate are composited together through combination of a metallurgical bonding mode and a squeezing meshing mode of the dovetail grooves under the actions of energy of explosives or a rolling mechanism. Physical and chemical properties of metal sheets on the two sides of a dovetail groove combination interface are not changed, and large-area metal sheet composition can be conducted; the explosive charge for a unit of compositing area is small, and atmospheric pollution, noise pollution, explosion vibration and overpressure are reduced; during explosive welding of the metal sheets with the dovetail grooves, no boundary effect exists, the compositing effect on the periphery is good, and the lower limit and the upper limit of an explosive welding window are both increased. The compositing technology of the dovetail groove metal plate clearance fit interface can be applied to the fields such as chemical reaction containers and ships so as to meet the requirement for large-area metal composite plates.

The invention discloses a modulation signal classification method for cuckoo search-improved gray wolf optimizer-least square support vector machine. The method selects a high-order cumulant and a local mean decomposition amount approximate entropy for the characteristic parameter of a modulation signal, and utilizes cuckoo search for the second update of the wolf position to optimize the two keyparameters of a least squares support vector machine model, namely, the penalty coefficient Gamma and the kernel parameter Sigma, so as to obtain the optimal kernel limit learning machine parameter value. The method reduces the influence of noise factor on the signal recognition result, makes up for the defects of under-envelope, over-envelope and boundary effects in the traditional modal empirical decomposition, and effectively improves the defect that the gray wolf optimization global searching ability is poor and is easy to fall into the local optimal solution in processing of high-dimensional data, compared with the original gray wolf optimization result by MATLAB simulation, is it proved that the method can intelligently classify the modulated signal more efficiently and accurately, and has a good application prospect.

The invention provides an MRI image inhomogeneity correction method based on regularization. A lowpass filtering method is improved, part of an area with low grey-value difference is selected and is subjected to lowpass filtering to obtain an initial estimate for a inhomogeneous field, and then extrapolation is performed through a regularized polynomial fitting method to obtain an estimate for an inhomogeneous field of a whole image. According to the method provided by the invention, an area-of-interest is determined and is subjected to filtering, so the boundary effect in the global image filtering method can be avoided, and fitting is performed through a regularization method, thus overfitting is guaranteed not to happen under the condition of improving the fitting order.

The invention discloses a multi-scene target tracking method based on an adaptive depth feature filter. The method comprises the following steps of converting a target area of an original image into acolor naming space from an RGB space to reduce the interference of color changes, then, calculating a foreground probability graph of a target area, t and training by using the features extracted from the foreground area according to the foreground probability graph to alleviate the boundary effect and effectively inhibit the noise in the background, so that the method can adaptively extract thetarget features. According to the method, multiple layers of depth features are used for training in corresponding related filters respectively; and the weight of the corresponding depth feature filter is updated adaptively according to the tracking effect, the filter stability, the historical response and other information, and the tracking model is guided to adaptively select useful depth features in different scenes, so that the target can be tracked in a robust manner in various complex scenes. Compared with the prior art, the method has the advantage of high robustness, and can accurately track the target in various complex scenes.

The invention belongs to the technical field of communication, and discloses a method and a device for correcting audio signals. The method comprises the following steps: intercepting a segment of signal near the boundary of an audio signal data frame; subjecting the intercepted signal to linear treatment to obtain a new signal; and calculating the evaluation index of the new signal and, if the evaluation index is smaller than a preset evaluation index, continuing the linear treatment until the evaluation index of the signal after the linear treatment is larger than or equal to the preset evaluation index. The method has the advantages that the method has less calculation amount, can achieve smooth and periodic time domain waveforms of the audio signal by correcting the audio signal, and can ensure the phase information of the signal and reduce frequency spectrum divergence, thereby achieving smooth frequency spectrum and further eliminating boundary effect.

The invention discloses a maneuvering target tracking method with organic combination of Kalman filtering and empirical mode decomposition, which relates to the field of maneuvering target filtering tracking and solves the divergence problem that boundary effect and Kalman filtering of high maneuvering target in the EMD method cannot be overcome. The method comprises the steps of: 1. acquiring measure data sequence of current sampling moment, acquiring system state predicating data of the next moment by means of a Kalman predication equation, and combining the data with the current sequence; 2, generating a filtering sequence by means of interpolation in the combined sequence; 3, decomposing the filtering sequence according to the EMD method, and removing noise-containing IMF to acquire a current filtering value; 4, displaying the filtering value as current filtering result; and 5, taking the filtering value as posterior estimate of the current state of the system, and acquiring calculative parameters at the next moment in combination with the measure data and Kalman equations, then returning to step 1 and taking the next moment as the current moment so as to realize maneuvering target tracking. The method according to the invention can be used in the field of maneuvering target filtering and tracking.

The invention discloses an R wave detection algorithm based on extremum field mean mode decomposition and improved Hilbert enveloping and belongs to the technical field of weak biological signal processing. An electrocardio signal pre-processing algorithm based on the extremum field mean mode decomposition and the improved Hilbert enveloping and an R wave detection algorithm based on slope threshold are provided. Detection criteria are set according to wave form characteristics and time domain distribution characters of electrocardio signals, and positions of R waves with most obvious characters and highest information amount in the electrocardio signals are detected. An extremum field mean mode decomposition algorithm improves empirical mode decomposition speed and can effectively restrain mode superimposition and boundary effect. The improved Hilbert enveloping can effectively restrain interference of noise and other characteristic waves an can also enhance energy of the R waves. The R wave detection algorithm based on the extremum field mean mode decomposition and the improved Hilbert enveloping can also detect positions of R points accurately even if interference of strong noise and large P/T waves exists. A Massachusetts institute of technology-Beth Israel hospital (MIT-BIH) data base is used for detecting the R wave detection algorithm. Sensitivity of the R wave detection algorithm is 99.94%, and positive predictive rate is 99.87%.

The invention discloses a driving dynamic-static loading experimental device for confining pressure and explosion. The driving dynamic-static loading experimental device comprises an experimental device, a hydraulic system device, a surface-strain measuring system and an internal-strain measuring system, wherein the hydraulic system device, the surface-strain measuring system and the internal-strain measuring system are connected together by the experimental device. The driving dynamic-static loading experimental device disclosed by the invention has the advantages that the two-way stable pressure loading process is realized by the hydraulic system device, and by transition devices such as wedge-shaped blocks, the pressure on a test piece is more uniform and stable; by an internal sensor,accurate control for the internal response process of the test piece can be realized and simultaneously the interference effect of the boundary effect on the experiment is eliminated; by use of the internal sensor and an external high-speed shooting system, not only can the deformation process of the test piece under combined loading be captured, but also the growth and extension rules of microcracks of rock can be analyzed simultaneously; the driving dynamic-static loading experimental device is more beneficial to analyzing the process of large deformation or macroscopic fracture in engineering practices.