175results about How to "The result is reasonable" patented technology

Representations of spatial audio scenes using higher-order Ambisonics HOA technology typically require a large number of coefficients per time instant. This data rate is too high for most practical applications that require real-time transmission of audio signals. According to the invention, the compression is carried out in spatial domain instead of HOA domain. The (N+1)2 input HOA coefficients are transformed into (N+1)2 equivalent signals in spatial domain, and the resulting (N+1)2 time-domain signals are input to a bank of parallel perceptual codecs. At decoder side, the individual spatial-domain signals are decoded, and the spatial-domain coefficients are transformed back into HOA domain in order to recover the original HOA representation.

A vulnerability assessment method of water inrush from an aquifer underlying coal seam includes steps of: collecting main control factors determined by geological data of a target area to be assessed; quantifying relevant data against the main control factors to form thematic maps; performing normalization processing against attribute data corresponding to the respective thematic maps; establishing databases of normalized attribute data corresponding to the normalized thematic maps by utilizing GIS; determining a weight of each main control factor based on a constant weight model; determining a variable weight of each main control factor based on a zonation variable weight model; performing composite superimposition on the normalized thematic maps of the respective single main control factors, and newly building a topological relation of the relevant data among the attribute databases for performing multi-factor fitting analysis; and establishing a vulnerability assessment model based on the zonation variable weight model.

A transformer operating state comprehensive evaluation method based on on-line monitoring comprises the following steps that monitoring various state indexes of a transformer in an on-line mode and conducting quantitative processing; determining the weights of evaluation indexes by combining improved analytic hierarchy process and grey correlation analysis; evaluating the state of the transformer. According to the transformer operating state comprehensive evaluation method based on on-line monitoring, the state of the transformer is combined to evaluate correlation function operation and membership degree process of the indexes, a transformer state comprehensive evaluation model based on combination of combination weighting approach and a fuzzy grey element is established, various on-line detecting state information quantities can be synchronized, the operation state of the transformer can be effectively and accurately judged in a comprehensive mode, an evaluation result is intuitive, and the method is used for instructing practical overhaul arrangement work of the transformer.

The present invention provides a three-dimensional image measuring apparatus and method capable of measuring projections and depressions on a surface of an object with fine precision, as well as ensuring stable convergence, even for stereo images with significant project distortion. The apparatus includes an area setting section 56 for setting a reference area 57 in one image 53 of a pair of stereo images 46 and a search area 58 in the other image 54 in a position corresponding to the reference area 57, a search image distortion correcting section 62 for applying an image distortion correction to either one of the one image 53 or the other image 54 according to the positional relationship between the reference area 57 and the search area 58 corresponding to the reference area 57, and an area shape measuring section 66 for measuring a shape of a measuring object 41 photographed in the stereo images 46 based on the reference area 57 in the one image 53 and the search area 58 in the other image 54, either one of which has been corrected by the search image distortion correcting section 62.

The invention discloses a medical interrogation dialogue system and a reinforcement learning method applied to the medical interrogation dialogue system, and relates to the technical field of medicalinformation. The system comprises a natural language understanding module used for classifying the intentions of users and filling slot values to form structured semantic frames; a dialogue managementmodule used for interacting with a user through a robot agent, inputting a dialogue state, performing action decision on the semantic frame through a decision network, and outputting final system action selection; a user simulator used for carrying out natural language interaction with the dialogue management module and outputting user action selection; a natural language generation module used for receiving system action selection and user action selection, enabling the user to check the selection through generating sentences similar to a human language by using a template-based method. According to the invention, the medical knowledge information between diseases and symptoms is introduced as a guide, and the inquiry historical experience is enriched through continuous interaction witha simulated patient. The reasonability of inquiry symptoms and the accuracy of disease diagnosis are improved, and the diagnosis result is higher in credibility.

The invention provides a DEM (Digital Elevation Model)-assisted satellite image block adjustment method. The DEM-assisted satellite image block adjustment method is characterized in that existing DEM data are combined, elevation control is provided when block adjustment is carried out by using an RFM (Rational Function Model) by a satellite image, and thus the dependence of the satellite image on ground control points which are densely distributed when the block adjustment is carried out can be greatly reduced. According to the DEM-assisted satellite image block adjustment method disclosed by the invention, compared with a non-elevation-control traditional block adjustment, when the block adjustment is carried out on a weak-intersection high-resolution downward-looking (panchromatic and multi-spectral) satellite image, and the increasing of the result accuracy is particularly obvious; extremely-high edge matching accuracy and relatively-uniform absolute accuracy can be obtained by the satellite image in a larger regional network just by using a few object space plane elevation control points. The DEM-assisted satellite image block adjustment method disclosed by the invention is very suitable for a satellite image user by whom high-accuracy object space control points are difficult to obtain to a large extent.

A road status data providing system includes a server for transmitting / receiving data via a communication line and a plurality of vehicle terminals. The server includes a transmitting / receiving unit for transmitting / receiving data to and from the plurality of vehicle terminals, a vehicle trend management database for managing vehicle trends of the plurality of vehicle terminals, and a totaling unit for totaling status data indicative of a status of vehicles at a prescribed point on the basis of the vehicle trend management database. Each of the vehicle terminals includes a transmitting / receiving unit for transmitting / receiving data to and from the server, a present position determining unit for determining the present position of the vehicle, and a creating unit for creating status data requesting information for acquiring the status data at the prescribed point.

The invention discloses a video geographic information system and method for urban areas. The system comprises a video acquisition Agent, a video server and a geographic information system (GIS) positioned in the server, wherein the Agent is composed of a video transmission module and a video image projection transformation module; and the video server is composed of a video image and map registering module, a video projection and geographic information integrating module and a dynamic video GIS display module. The system of the invention is independent, data of the system comes from video monitoring cameras in the urban area, the instantaneity is high, lots of cameras can be simultaneously connected to the system, a lot of continuous monitoring data can be simultaneously read from one map, and visual whole-city running states and a target continuously searching and tracking service are provided for the city managers and decision makers.

A system or method of automated image processing that can automatically determine a color and transparency for a pixel with an observed color when given the pixel and a background reference color. A point in a color space can be automatically found by extrapolating in the color space based on two points in the color space that respectively correspond to or that respectively approximate the observed color and the given background reference color. A color for the given pixel that corresponds to or approximates the found point in the color space can also be calculated automatically. Based on the found point and the two points in the color space that respectively correspond to the observed color and the given reference color, a transparency for the pixel can be automatically found.

A method aligns a character to a sampling grid of an image. An original uniform width path that traces a s keleton of the character is specified by input pen commands having original coordinates. The width of the original path is rounded to a nearest integer to produce a hinted width. The original path is traversed using the input pen commands to identify segments of the path. The segments are stored in an array. Hinted coordinates are determined for each segment in the array. The array is sorted, and a directed acyclic graph (DAG) is constructed. Collisions between the segments are resolved using the sorted array, the DAG, and the width of the hinted path. The segments are fitted to the sampling grid, and the result is stored in output pen commands, thereby aligning the skeleton of the character to the sampling grid.

The invention relates to a method for enabling a thermoelectric unit to participate in system peak-load regulation scheduling by using heat supply time lag. The method comprises the following steps that: mathematical expression forms of heat supply time lag are provided; optimization scheduling of total heat load is carried out; the output range of a thermoelectric unit is regulated based on time lag; a wind-electricity-heat integrated scheduling model is built; and an optimization model solving strategy is adopted. The heat supply time lag is utilized, and therefore, difficulties in the peak-load regulation of a power grid caused by a situation that a thermoelectric unit does not participate in peak-load regulation or rarely participates in peak-load regulation in the past can be eliminated to a certain extent with work and life needs of people not affected. The method has the advantages of simple calculation, reasonable results, easiness in implementation, high application value and the like.

The invention discloses a community discovery method of a complex network and an important node discovery method of a community. The community discovery method of the complex network comprises the following steps: firstly, according to a topological structure of the complex network and connection frequencies among nodes, calculating to obtain the edge weight of each edge; taking the edge with the maximum edge weight as a starting edge of a new community to expand a new community; calculating a local communication judgment function of a community neighbouring point when expansion is carried out each time; dividing the neighbouring point and a corresponding edge into the community if the local communication judgment function is greater than 0; and after the community stops growing, selecting the edge with the maximum edge weight from the residual edges as the starting edge of another new community to continue to divide. When the important node discovery of the community is carried out, an influence factor, which is affected by the adjacent point of the same community, of each node is firstly calculated, and then, the importance degree of the node is obtained according to the influence factor, which is affected by the adjacent point, of each node and the influence factor, which is affected by the node, of the adjacent point to finish important node discovery. The community discovery method and the important node discovery method are high in accuracy and low in time complexity and are especially suitable to apply to the large-scale complex network.

The invention provides a monitoring-based resource exclusion method in V2X communication. The method comprises the following steps: a, deleting a part of candidate single-subframe resources accordingto a RSRP measurement result; b, for each remaining candidate single-subframe resource Rx, y, performing linear average on RSSI measured on sub-channels x+k (k=0,...,LsubCH-1) in subframes that can beexpressed as (the formula is described in the specification) (j is a non-negative integer) in a monitoring window to obtain Ex, y, adjusting the Ex, y according to the PSSCH resource reservation intervals, resource locations and RSRP measurement results of other UE and own resource reservation interval to obtain Ex, y; and c, sorting the remaining candidate single-subframe resources in an ascending order of Ex, y, and reserving a preset proportion of Mtotal resources at the front of the queue. By adoption of the monitoring-based resource exclusion method provided by the invention, the priorities of the candidate resources can be sorted more reasonably according to the obtained resource occupation conditions when the resources are excluded.

Provided are a reliability allocation system and an allocation method based on a fault tree method and an analytic hierarchy process. The fault tree method is combined with the analytic hierarchy process, the fault tree method serves as the body, and thus reliability is allocated according to the height of the total system. Reliability allocation is divided into two steps by means of the analytic hierarchy process, namely when allocation is carried out in the first step, critical components with reliability needing to be increased are selected from the system, and target reliability of the system is allocated to be the target reliability of a minimal cutest; when allocation is carried out in the second step, subjective judgment is combined with objective calculation, the target reliability of the minimal cutest is allocated to be the target reliability of a basic event, and the target reliability of the system is allocated to the target reliability of an element or a subsystem.

The invention relates to a fish HIS (habitat suitability index) modeling method based on an SVM (support vector machine). The method comprises the following steps that 1, the suitability index value SI corresponding to a group of ocean factors is solved by combining various ocean environment factors; 2, all ocean environment factors and the SI are subjected to normalization; 3, an SVM HSI model is built on the basis of data in the second step; 4, different regions are predicated by the SVM HIS, the predicated root-mean-square errors and the correlation coefficient are obtained, and the fishery fishing condition is forecasted in GIS (geographic information system) environment; 5, simulation results are output and stored. Compared with the prior art, the fish HIS modeling method has the advantages that when the sample quantity is smaller, rules in the data can be better mined, the more reasonable HIS model and the fishing condition forecasting result can be obtained, and the like.

The invention provides a CNN-based power equipment fault judgment and early warning method, a terminal and a readable storage medium. The method comprises the steps of obtaining test data; preprocessing the data; processing the data by using an offline model; and performing fault prediction of data. According to the method, the coal mill data is modeled through a deep learning method, fault prediction is achieved, mass historical data of coal mill equipment are fully mined through an existing data mining and machine learning modeling method, and an efficient and practical model is establishedto conduct detection and early warning on the real-time state of the coal mill. Knowledge and experience of experts and operating personnel are combined with data mining and machine learning methods and complemented with each other. The data can be automatically analyzed and modeled according to the data characteristics, and the threshold of operating personnel is lowered. The fault prediction model of the coal mill established by the invention can contain more complex causal relationships implicit among the indexes, so that the possibility of loss of a large amount of effective information isavoided, and the result is relatively reasonable and accurate.

The invention relates to a test method and device of the variable-paddle bearing friction moment of a wind-driven generator and an application thereof. A simulation test device is arranged on the ground, and the variable-paddle bearing friction moment is measured by a ground test, i.e. a cantilever beam device is mounted on a paddle bearing, and the tail end of a cantilever beam is loaded to simulate a load in the practical operation of a blower; under the loaded condition, a variable-paddle system is started, and test equipment driven by variable paddles is utilized to measure the loaded variable-paddle bearing friction moment. The simulation test device for the variable-paddle bearing friction moment of the wind-driven generator comprises a fixed tool part which is mounted on a test bed; a hub assembly system with a variable-paddle bearing to be tested is mounted on the fixed tool part, and the variable-paddle bearing to be tested is connected with the cantilever beam for test by a bolt; a loading device is hung at the tail end of the cantilever beam, and a balance weight for adjusting the loaded weight is hung below the loading device.

The invention discloses a multi-target planning method for power grids of wind farms based on improved NSGA-II. The multi-target planning method includes the steps of building an output force model of the wind farms, calculating the flicker value of a wind turbine generator system at a common connection point, creating a target function with shortest line length and minimal flicker value of a wind farm at a common access point, and realizing multi-target planning of the power grid of the wind farm based on NSGA-II algorithm of NDX operators, the output force model and the target function. The multi-target planning method overcome the defects of subjectivity of conventional multi-target optimization and obtaining one solution in one time, enhances overall searching capability than routine NSGA-II algorithm, and improves convergence.

A dust removal sweeper comprises a chassis, a water tank, an engine, a fan, a dust collection box and a sucker and is characterized in that a wagon box is arranged on the chassis, the water tank, the fan, the dust collection box and dustbins are arranged in the wagon box, the dustbins are located on the two sides of the dust collection box, the dust collection box and the dustbins are separated through filter screens, the fan is communicated with the dust collection box, a corrugated pipe is connected to the sucker and communicated with the dustbins through a first seal joint, a filter cartridge dust remover is arranged in the dust collection box, one end of the filter cartridge dust remover is communicated with the fan through a second seal joint, and a blowback pipe, a pulse valve and an air storage tank are arranged in the filter cartridge dust remover. The dust removal sweeper is good in dust removal effect, low in operation cost and nose, and environmentally friendly, and saves energy.

The invention discloses a method for determining mechanical parameters of the stratum via the Rayleigh wave speed. According to the method, information from Rayleigh wave exploration is fully utilized, the mechanical parameters of the stratum in geotechnical engineering are inverted according to the Rayleigh wave speed, comparative verification is carried out by combining drilling data, shearing wave speed and indoor geotechnical test, the different mechanical parameters of the stratum are determined via the Rayleigh wave speed, and reference values of stratum mechanical indexes and stratigraphic division are provided for exploration in geotechnical engineering without drilling and pitting data. The method of the invention is efficient, economical and practical, a lot of drilling and pitting work can be reduced, the method is especially suitable for landform and geologic positions which a drilling machine can hardly reach, a result is reasonable and effectively, the working efficiency is greatly improved, the cost is reduced, and an effective solution is provided to determine the mechanical parameters in geotechnical engineering of the stratum.

The invention discloses a novel foundation design method. The method comprises the following steps of: establishing a novel settlement calculation method according to a P-S curve of an in-site soil plate loading test; when the P-S curve of the plate loading test is supposed as a hyperbolic equation, establishing a hyperbolic model method; resolving the tangent modulus and the secant modulus of a soil body; applying the resolved modulus to a layering summation method for settlement calculation of a foundation and a pile foundation; establishing a hyperbolic tangent and secant modulus method of in-situ soil; and establishing the relation between the tangent modulus of the soil body and a load level so as to form a novel nonlinear foundation total settlement process calculation method which uses the tangent and secant modulus method of in-situ soil. In a determined soil body deformation parameter, the original property and non-linearity of foundation soil can be well considered, so that the nonlinear settlement process of the foundation can be calculated correctly; simultaneously, the number of needed soil body parameters is small, so that the method is convenient to apply and an optimal state of replenishing appropriately during foundation design is realized.

The invention discloses a low-voltage electric appliance junction box device capable of being conveniently detached. The low-voltage electric appliance junction box device comprises a mounting base, wherein a fixing block is fixedly connected to the periphery of the top of the mounting base; a buffer spring is fixedly connected to the top of the fixing block; a spring cushion is fixedly connectedto the top of the buffer spring; a box body is fixedly connected to the top of the spring cushion; a supporting block is movably connected to the top of the mounting base and positioned in the middle;and an external thread is formed in the surface of the supporting block. The low-voltage electric appliance junction box device capable of being conveniently detached is simple in structure, convenient to use and convenient to mount and detach. In addition, radiating windows are arranged on two sides of the device, so that the whole junction box can be well and rapidly radiated. Therefore, the working quality of the junction box is effectively improved, the junction box is prevented from being burnt by a high temperature, and convenience is brought to use. Due to the buffer spring at the bottom of the box body, force generated by collision of the device can be reduced, damage is avoided, and the service life of the device is prolonged.

The invention discloses an urban water surface rate planning method based on water safety. The urban water surface rate planning method comprises the following steps: measuring DEM terrain elevation data; defining rainwater management and control subareas; establishing a hydraulic model, and identifying a ponding area; defining the waterlogging risk level of each rainwater control subarea according to the waterlogging area proportion; checking and calculating the rainstorm runoff through the regional rainstorm parameter atlas; and calculating the water storage volume and the water surface rate. According to the method, the area, depth and waterlogging risk of the ponding area of each rainwater control subarea are fully considered, the maximum water area and water surface rate based on water safety are calculated according to urban rainstorm data and urban water storage, and the method is high in operability, reasonable in result and extremely high in reference. Model calculation, rainfall flood calculation and water level safety calculation serve as main means and serve as important supports for urban water safety layout planning and scale design, and scientificity of urban water safety planning is improved.

The invention discloses a remote sensing image rotating target detection method based on a global-local attention mechanism. The method comprises the following steps: S1, extracting depth features; s2, extracting a saliency feature map; s3, constructing a significance pyramid; s4, extracting features and coordinates of candidate regions which contain foreground potential targets and are ranked atthe top; s5, generating a global scene semantic constraint feature, and splicing the global scene semantic constraint feature with the feature from S4; s6, carrying out a RoIAlign pooling operation; s7, generating a final feature map; s8, category prediction and prediction of bounding box coordinates represented by five parameters are carried out; and S9, analog loss and coordinate loss are calculated, a calculation result of a non-maximum suppression algorithm is optimized by adopting an IoU, and a target detection result is displayed. The method can effectively reduce the interference of background noise, improves the precision of a detection result, can effectively eliminate an obvious false detection result, and finally obtains a high-precision and reasonable type and rotating boundingbox result.

The invention discloses a method and a device for analyzing pulmonary nodules. The method comprises the following steps: carrying out extraction from CT (Computed Tomography) images of the lung of a patient to obtain pulmonary nodule images, and carrying out feature extraction on the pulmonary nodule images of the patient by adopting a preset feature extraction neural network model to obtain corresponding feature vectors of the patient; and further, inputting the corresponding feature vectors of the patient into a preset classification neural network model so as to obtain analysis results, output by the preset classification neural network model, of the pulmonary nodules suffered by the patient. Because the models are obtained by training a large quantity of data, the results obtained through the models are more reasonable, so that the results have a certain scientific evidence. Compared with diagnostic ways of conventional doctors, diagnosis error ratios caused by doctor level difference can be reduced, so that the analysis accuracy of the pulmonary nodules can be improved.

The invention relates to the field of representing fatigue property of materials, in particular to a P-S-N curve representation method for an additive manufacturing material and application thereof. The method comprises the following steps: describing a mode of a fatigue service life distributing characteristic under a given stress level by adopting double peak logarithmic normal distribution andestablishing a distributing parameter evaluation method; on this basis, establishing a fatigue P-S-N curve parameter evaluation method; and acquiring a fatigue test result under the given stress level, carrying out data processing of double peak logarithmic normal distribution and establishing the distributing parameter evaluation method to form the fatigue service life distribution characteristicof a curve representation describing material of P-S-N. Compared with single peak logarithmic normal distribution, the method is more reasonable and can better reflect the fatigue service life dispersibility problem induced by factors such as process characteristics, so that a result based on a limited test piece test is more reasonable.

The invention discloses a high speed railway main line train operation scheme optimizing method and system. According to the invention, a high speed railway main line train operation scheme is taken as an optimization object. Current high speed train marshalling characteristics and train starting and destination arriving capability limitation are taken into account, on one hand, in order to ensure that the transportation capability of trains of different sections of lines meets sectional passenger transporting demands, train operation paths achieving the optimal match between the transportation capability and passenger flow demands are searched and starting and destination arriving stations and departure frequency are determined; on the other hand, intermediate train stops are arranged according to boarding and alighting passenger flow and OD passenger flow, namely, matching between the OD passenger flow and the train service frequency is realized through setting a train stop scheme reasonably. An optimization model and a solution algorithm obtained in two layers including capability matching and service frequency matching are in close combination with high speed railway transportation organization and passenger transportation organization characteristics. The train path scheme and the train stop scheme are reasonable. The optimization method is good in practicability.

The present invention relates to a various uncertain factors affected planning load prediction method. According to the method, changes in economic variable data are used to represent an effect of various influence factors of uncertainty on power load change; the uncertain factors are quantified by comparing effects of each factor; and quantitative influence factors are included in load prediction by blind number theory modeling. The load prediction method of the present invention comprises three steps of blind number model construction, interval gray number confidence determining, and fuzzy comprehensive evaluation model prediction. An effect of an uncertain factor is converted into and reflected by an interval gray number and confidence thereof by fuzzy comprehensive evaluation, so that a quantized value of load prediction is obtained. According to the load prediction method provided by the present invention, a relatively small amount of information is lost in load prediction, and the result is more reasonable, thereby providing a basis for grid development planning and scheduling work.

The invention belongs to the technical field of wine brewing, and particularly relates to a method for quantitatively judging yellow water quality. According to the scheme for solving the technical problems, the method for quantitatively judging the yellow water quality comprises the following steps: (1) determining quality evaluation factors for judging the yellow water quality, and determining weighing coefficients of the quality evaluation factors; (2) setting yellow water quality grade coefficients, grading each quality evaluation factor of the yellow water quality to be tested according to the standards of the quality grade coefficients, establishing a fuzzy mathematic matrix of the quality evaluation factors, and multiplying the matrix by the corresponding weighing coefficients determined in the step (1) to obtain a composite matrix; (3) conducting the weighted average on the composite matrix and the yellow water quality grade coefficients, and then obtaining the value of comprehensive yellow water judgment. The method can quantitatively judging the yellow water quality, the result is more reasonable and accurate, and the method is a new choice for quantitatively judging the yellow water quality.