377results about How to "Strong representative" patented technology

An acoustic correction apparatus processes a pair of left and right input signals to compensate for spatial distortion as a function of frequency when said input signals are reproduced through loudspeakers in a sound system. The sound-energy of the left and right input signals is separated and corrected in a first low-frequency range and a second high-frequency range. The resultant signals are recombined to create image-corrected audio signals having a desired sound-pressure response when reproduced by the loudspeakers in the sound system. The desired sound-pressure response creates an apparent sound image location with respect to a listener. The image-corrected signals can also be spatially-enhanced to broaden the apparent sound image and improve the low frequency characteristics of the sound when played on small loudspeakers.

The invention discloses an automatic annotation method and system for an innovative and creative label on the basis of big data. The method comprises the following steps that: using a Sogou corpus to train Word2vector and LDA (Latent Dirichlet Allocation) to obtain a training result set; carrying out word segmentation on the document data of a user browsing page, removing a stop word, and carrying out word filtering processing; for preprocessed document data, combining an improved TextRank algorithm with the Word2vector to calculate a label from the text data; in addition, carrying out calculation on the preprocessed document through the LDA to obtain the label related to a document data theme; and through a label cloud generation way, realizing visualization, and annotating all text label words in the document data so as to bring convenience for users to read and find key content parts.

The invention discloses a vehicle driving condition establishment method combining principal component analysis with fuzzy c-mean clustering. The method comprises the steps of extracting satellite positioning data of each road traffic condition in a vehicle dynamic monitoring system of a road transport enterprise, and calculating and dividing the data into small sections of micro-strokes; and performing calculation of characteristic parameters such as an average speed, an idle time proportion and the like for each micro-stroke, obtaining a matrix of a sample quantity (row) X the characteristic parameters (column), adopting mean normalization and principal component analysis for matrix data, selecting preorder principal components which meet the conditions that the cumulative contribution rate of characteristic values of the principal components is greater than 85% and the principal components can comprehensively reflect all the characteristic parameters, performing fuzzy c-mean clustering analysis on scores of the principal components, and clustering the micro-strokes into different groups, namely, screening sub-conditions. An initial synthesis condition is smoothed by adopting a filter with a double-weighted smoothing kernel function. According to the method, existing satellite positioning data is fully utilized; compliance testing is easily carried out on a dynamometer; relatively high universality is achieved; and the research cost of vehicle driving condition establishment is reduced.

The invention provides an abnormal account identification method and system. Through construction of a data interaction network, network attribute features of the data interaction network and non-network attribute features of the data interaction network are obtained, then according to the network attribute features of the data interaction network and the non-network attribute features of the data interaction network, a classification prediction model is obtained, and an account to be identified is identified by use of the classification prediction model, such that an abnormal account does not have to be identified through manual discrimination, numerous manpower resources are saved, and the identification efficiency is effectively improved. At the same time, by use of a scientific digital analysis means, the identification accuracy is improved.

The invention belongs to nondestructive testing technology, and relates to a method for manufacturing a surface crack sample for a nondestructive testing sensitivity test. The method adopts a fatigue loading mode to manufacture a crack defect, and the operation is simple; the manufactured fatigue crack defect has small dimensions and belongs to typical crack defect. Therefore, the manufactured fatigue crack defect has excellent representativeness for natural crack defects. The method can successfully acquire crack samples with dimensions of natural cracks; and dimensions and shapes of the samples and directions and positions of the crack defects can meet most test requirements. The manufacturing process is easily controlled, which is particularly applicable to adjustment and experimental verification for circumferential magnetization detection sensitivity in magnetic particle testing, and the method can be applied to testing research of detecting sensitivity of the surface cracks in three nondestructive testing specialities, namely ultrasound, vortex and penetration.

The invention discloses a method for clustering data in an image retrieval system, belonging to the technical field of information processing. The method comprises an off-line process and an on-line process, wherein the off-line process is characterized by extracting an SIFT (Scale Invariant Feature Transform) characteristic for a standard image, then the SIFT characteristic is subjected to off-line clustering processing, and a standard image vector is built by virtue of vectorization processing on the basis of the off-line clustering result; in the on-line process, the SIFT characteristic ofthe image to be retrieved is extracted; then, on the basis of the off-line clustering result, an image vector to be retrieved is obtained by virtue of the vectorization processing; and the image vector to be retrieved is subjected to similarity search in a standard image vector. By utilizing the method, the characteristics of strong representativeness and distinguishable capability in large-scaledata can be quickly obtained, the clustering of the large-scale data is achieved, and newly-added image data is subjected to quick incremental quantity and clustering on the basis of effectively reusing the clustering result of the original image data, thereby finally realizing a high-efficient image retrieval task.

The invention discloses a vibration event mode identification method. The method includes acquiring and obtaining the original vibration signals, including the vibration signal and the non-vibration signal, via a vibration sensor; separating the vibration signal in the original vibration signals; denoising the vibration signal; performing feature extraction on the denoised vibration signal and obtaining the characteristic vector including three characteristics of: A performing wavelet packet decomposition on the time-frequency domain and obtaining the energy characteristic vector, B performing the cepstrum analysis and extracting the cepstrum parameter characteristics, and C extracting the signal characteristic on the time domain; and establishing an identification model composed of two grades of classifiers, wherein the first grade of classifier is a classifier based on SVM and divides the vibration events into non-intrusive events and intrusion events by taking the characteristic vector extracted from the vibration signal as the input, and the second grade of classifier performs the identification based on the artificial nerve network for the intrusion events to obtain the classification result.

The invention discloses a three-dimensional wireless sensor network node self-locating method based on a neural network. The three-dimensional wireless sensor network node self-locating method comprises the following steps that firstly initializing a wireless sensor network, secondly establishing a neural network, thirdly extracting training examples for the neural network, fourthly training the neural network through the obtained training examples, fifthly obtaining the actual distance from each unknown node to an anchor node which is not adjacent to the unknown node according to the well-trained neural network, and sixthly obtaining the three-dimensional coordinates of the known node. The obtaining method of the training examples is simple and has strong representative, and the well-trained neural network can better represent the main properties of a geometric structure of the three-dimensional wireless sensor network. The three-dimensional wireless sensor network node self-locating method solves the problem of overlarge estimation error of distance brought by the accumulation system of shortest jumping distances in the locating process of the three-dimensional wireless sensor, and effectively improves the locating precision.

The invention relates to a bus line optimizing method based on taxi GPS data and mobile phone signaling data, and aims to solve the problem of low operation efficiency of a bus line because the existing bus line is unreasonable in setting, cannot meet needs very well and does not conform to the actual situation. The bus line optimizing method comprises the following specific processes: 1, acquiring the taxi GPS data, acquiring the mobile phone signaling data, acquiring a land use map and acquiring bus stop data; 2, processing the data acquired in the step 1; 3, calculating bus line optimizingindexes according to the step 2; 31, calculating the distances from an origin point and a destination point to the nearest bus stop; 32, determining the number of bus lines included in the bus stop and the traffic flow; 33, calculating the average running speed of a road vehicle; 4, setting optimizing measures according to the optimizing indexes. The bus line optimizing method is applied to the field of public transportation planning.

The invention discloses a piston type visible water sample collection instrument and belongs to the technical field of environment monitoring, environment control and water sample collection. The piston type visible water body sample collection instrument mainly comprises a mooring rope with scales, a trigger, a bucket body, a piston mechanism, a buffer plate and a counterweight. The mooring rope with scales is utilized to confirm the sampling position; the transparent two-section type bucket body structure is suitable for collection of samples with multiple shapes; and the buffer plate can be used for reducing interference of a water taking process on a water body form. The trigger starts to work after the collection instrument reaches the collection depth, the bucket body falls down under the action of the counterweight, and the water storage end slowly enters into the bucket body, so that the purpose of collecting a water sample with an appointed depth is achieved. The piston type visible water sample collection instrument has the benefits as follows: the slightly disturbed sample collection under multiple shapes is achieved, the water body situation can be directly observed, and the representativeness and the fidelity of the sample are improved. The piston type visible water sample collection instrument can be used for collecting water bodies such as rivers, lakes, reservoirs and the like, and has the characteristics of good fidelity, high precision, good representativeness, low manufacture cost and the like.

The invention discloses a grading optimization method for an asphalt mixture under virtual state. The method includes the steps of: on the basis of grading that needs to optimize according to practical demand, in three-dimensional discrete element software PFC3D, randomly generating an asphalt mixture mechanical test three-dimensional discrete element model (including uniaxial penetration test, low temperature split test, uniaxial compression test and shear fatigue test) which satisfies a target grading, wherein the generation process of the three-dimensional discrete element model, which satisfies the target grading, is the base of asphalt mixture grading optimization; and comparing mechanical performance evaluation results of various grading to obtain a grading having best mechanical performance. The method has strong operability, convenience and representativeness.

The invention is a voice automatic-identification processing method of embedded voice identifying system, composed of a front-end processing part, a real-time identifying part, a back-end process part and a template training part, adopting self-adapting end-point detecting technique to draw voiced segments, adopting synchronous mode to identify input voice, applying vector-supporting algorithm to realize fast rejection of non-command voice, thus improving identification reliability and practicality, and adopting multistage vector quantization method to train the voice template and assorted with McE/GPD distinctive training to optimize the voice template so as to improve identifying property. The used acoustic model has a small memory space, thus effectively increasing the identification ratio of the system to above 95%, its algorithm load is small, its memory space is small and its identification rejection ratio is higher than 80%.

The invention relates to a normal temperature enrichment and sampling method for xenon in air, and an apparatus thereof. According to the present invention, a hollow fiber semi-permeable membrane group is adopted as an air pretreatment apparatus; a four-stage adsorption column is adopted to enrich and concentrate the xenon in the air step by step, wherein the first-stage adsorption column adopts two sets of parallel structures, the two sets of the parallel structures alternatively work, such that continuous and uninterrupted sampling is realized; an adsorbent of activated carbon is adopted. With the present invention, the apparatus of the present invention has characteristics of rational design, simple structure and convenient operation; the difficulty of impurity removing in the subsequent concentration process is reduced; the apparatus is applicable for long-termly monitoring the atmospheric environment; the sampled sample has strong representativeness, and no time empty window is generated; the method and the apparatus can be applicable for sampling the noble gas xenon in the air.

The invention discloses a laminated vibration columnar bottom sampler and belongs to the technical fields of environment monitoring, environment control and sediment sample collection. The sampler comprises a vibration mechanism, a drainage head, a self-balance seal device, a sampling tube, a self-seal sampling head, a stabilizing support, a wire, a scaled rope, a vibrator rope and a stabilizing support rope. The vibration mechanism drives the sampling tube to vibrate, the sediment surrounding the sampling head and sample tube are liquefied, the sampler sinks evenly, and the deep laminated sediment collection is implemented. The vertical sampling is guaranteed through the stabilizing support, the self-balance seal device and the sampling head are used for sealing up and down, sampling loss is reduced, and the sampling tube can be prolonged according to the requirements; the bottom sampler has the advantages that inland water laminated sediment sample collection is implemented, the sample representativeness and fidelity are improved, the sample representativeness is high, equipment is light, operation is simple and cost is low.

The invention provides a multi-channel automated chamber system, comprising an air compressor, an infrared CO2 analyser, a buffer, a drier, a filter, a flowmeter, an air pump, a data acquisition unit and a plurality of chambers, wherein, an air cylinder is arranged between the side wall and an upper cover of each chamber, the air compressor is connected with a multi-ported valve which has a plurality of branches, each branch is provided with an electromagnetic valve, each gas branch is connected with the air cylinder inside each chamber; each chamber is connected with one multi-ported valve by a gas branch provided with an electromagnetic valve and the gas branch is connected in sequence with the buffer, the drier, the filter, the flowmeter, the infrared CO2 analyzer and the air pump and then is connected with another multi-ported valve; each branch of the multi-ported valve is connected with each chamber, each branch is provided with an electromagnetic valve to form a circulating gas path; the infrared CO2 analyzer is connected with the data acquisition unit by a circuit; the electromagnetic valve which is connected with the air cylinder and controls the extension of the air cylinder and the electromagnetic valve which is arranged on the chamber and is used for controlling the circulating gas path are connected with a logic controller by the circuit. The system has the advantages that the reaction speed is high, the efficiency is high, the all-weather continuous and circular detection of a plurality of places is realized, and the influence on the target to be detected is small.

The invention provides a building method for a shale composite organic molecular model. The method comprises the following steps of extracting asphalt sample components and a kerogen sample in a shalesample, and performing component analysis on an asphalt sample; performing element analysis, FTIR spectral analysis, 13C NMR spectrogram test and XPS energy spectrum analysis on the kerogen sample, and judging element composition, an atom ratio of carbon atoms to heteroatoms, functional group types, carbon skeleton structure parameters and existing forms of the heteroatoms in the kerogen sample;according to element analysis, FTIR spectral analysis, 13C NMR spectrogram test and XPS energy spectrum analysis results, constructing initial molecular structures of the kerogen sample; and determining the quantity of the initial molecular structures of kerogen, sample component distribution and organic light component distribution under a reservoir condition in the organic molecular model, and building the three-dimensional shale composite organic molecular model by adopting a molecular simulation technology, wherein the heteroatoms are atoms except carbon and hydrogen.

The invention discloses a post-disaster unmanned aerial vehicle base station deployment method and system based on an artificial bee colony algorithm. The method comprises the steps of constructing an unmanned aerial vehicle base station three-dimensional scene with a preset size and distributed with a plurality of terminal users; calculating the network throughput of each terminal user in the scene area, and calculating the overall network throughput according to the capacity constraint of the unmanned aerial vehicle base station; calculating the maximum overall network throughput and the optimal flight position of the corresponding unmanned aerial vehicle base station in the air by adopting an artificial bee colony algorithm, and deploying the unmanned aerial vehicle base station.

The embodiment of the invention in particular relates to a cloud game video processing method, electronic equipment and a storage medium. The cloud game video processing method comprises the followingsteps: identifying a target game event in a cloud game; obtaining a target editing object in the target game event; determining a starting moment and an ending moment according to the target editingobject; obtaining a video clip between the starting moment and the ending moment in the cloud game; wherein the starting moment is a moment before the starting of the target game event, and the endingmoment is a moment after the ending of the target game event. By adopting the embodiment of the invention, the wonderful game video clip can be automatically edited and generated in the cloud game process, so that a player can share the automatically edited game video clip conveniently.

The invention belongs to the technical field of underground water sampling and particularly relates to an underground water depth-setting stratified sampling device and an underground water depth-setting stratified sampling method applicable to regions without wells. The underground water depth-setting stratified sampling device at least comprises a sampling mechanism, a connecting mechanism and an underground sample injection mechanism, wherein the sampling mechanism comprises a first sampling mechanism body, a second sampling mechanism body, a sampling bottle, a gas-phase check valve, a nested flow splitting mechanism, a ball valve and a wellhead fixing support seat, the underground sample injection mechanism comprises a first underground sample injection mechanism body and a second underground sample injection mechanism body, and the connecting mechanism comprises a first connecting rod and a second connecting rod. Compared with similar technical products, the underground water depth-setting stratified sampling device applicable to the regions without the wells has the advantages that the device is novel in structural design and improved in working performance, functions, precision, stability and durability substantially, integrates a high-precision stratified sampling function and an underground water level line fluctuation monitoring function and can be rapidly mounted in the regions without the wells.

The invention discloses a method for rapid determination of the total saponin content in a compound ass-hide glue pulp by near infrared spectroscopy, and belongs to the traditional Chinese medicine research technical field. The method comprises the steps: preparing different concentrations of compound ass-hide glue pulp samples by concentration dilution, and jointly forming a sample set with a finished product sample; acquiring near infrared spectrograms of the sample set, firstly eliminating abnormal samples, and dividing the sample set; then selecting an appropriate spectral wave band and an appropriate pretreatment method to obtain characteristic spectral information of the compound ass-hide glue pulp samples; taking the compound ass-hide glue pulp sample total saponin content tested by a vanillic aldehyde-perchloric acid colorimetric method as a reference value, and building a quantitative calibration model of the relationship between the ass-hide glue pulp near infrared spectrum and the total saponin content by applying a stechiometry technology; and acquiring a near infrared spectrum of a compound ass-hide glue pulp sample with unknown content, and rapidly calculating the total saponin content by utilizing the built quantitative calibration model. The method is beneficial for improving the level of quality control of the compound ass-hide glue pulp, and ensures stability and reliability of the product quality.

The invention provides a method for detecting fish parvalbumin through liquid chromatography tandem mass spectrometry. The method comprises the following steps: step 1: choosing a characteristic peptide fragment; step 2: making a standard curve: taking the concentration value of a quantitative peptide fragment standard product as the x-coordinate and a quantitative daughter ion peak area as the y-coordinate to draw the standard curve, and obtaining an equation; step 3: processing and implementing enzymolysis on a to-be-detected fish meat sample to obtain a liquid supernatant, implementing HPLC-MRM-MS/MS detection on the liquid supernatant, obtaining the daughter ion peak area of the quantitative peptide fragment in the fish meat sample, resolving the concentration of the quantitative peptide fragment in the sample, and further obtaining the concentration of the parvalbumin in the sample. The invention aims at establishing a liquid chromatography tandem mass spectrometry method, and themethod has the advantages of accuracy, precision, sensitivity and the like.

The invention relates to a covering layer sampling device, which comprises a sampling drill (1) on the end part, a sampler outer pipe (3), a residual soil pipe (7), an outer pipe joint (6) positioned between the sampler outer pipe (3) and the residual soil pipe (7), and a core-like inner cylinder (4) positioned on the inner wall of the sampler outer pipe (3), wherein a position stopping ring (5) is positioned on the inner wall of the sampler outer pipe (3) and between the outer pipe joint (6) and the core-like inner cylinder (4), the upper end of the residual soil pipe (7) is fixed with a cover head (8), the upper end of the cover head (8) is provided with a reducing joint (9), and the sampling drill (1) is an alloy drill with a quenching treatment or a normalizing treatment. The covering layer sampling device of the present invention has the following advantages that: adaptability on stratum is wide, no disturbance is generated to the rock sample, layer mixing of the upper layer and the lower layer is not generated, the original gradation and the original structure are maintained, representativeness of the rock sample is strong, requirements of geological description and rock sample tests can be met, and the sampler has characteristics of simple and reasonable structure, easy operation, and high sampling success rate.

The invention relates to a method for the pre-installation construction of the oven protection equipment of a coke oven, in particular to a method for the computer simulation of the installation construction of the oven protection equipment of a coke oven, which comprises building an analysis module, a computing module, a structure design module and a drawing module, wherein the analysis module receives in-situ equipment test data input by a terminal user; the computing module computes the qualification rate of equipment data in sampling inspection; the structure design module has a built-in equipment general assembly and several sub assemblies formed by subdividing the entire oven protection equipment of the coke oven, and according to an assembly model selected by a user, and the system assigns acquired equipment dimension data values to the assemblies to obtain a three-dimensional entity and installation deviations between different sets of equipment and between equipment and a brickwork and simulate the installation process of the oven protection equipment to obtain a relative position of the equipment during installation; and the drawing module outputs the distribution condition of the installed entity and a model of the entity. The invention overcome the drawbacks, such as complex construction, long time consumption, and human, money and material resource waste, of the traditional assembly method.

This invented public phone questionnaire automatic operation method and its system can random and automatically draw telephone number to be inquired, automatic dial, ask questions and automatically sort and sum up to get the investigation result which comprises database server, phonetic server, phone network, information receiving terminal made up of handheld phones, maintenance station and LAN.