232results about How to "Practical application value" patented technology

The invention discloses a crowd counting method and system based on a cGAN network. The crowd counting method comprises the steps of generating a crowd density distribution diagram by using an accumulated Gaussian kernel function matrix; extracting semantic attribute information of an input picture by using a generator coding network, and generating a crowd density distribution diagram sample by using a generator decoding network; discriminating whether a density map is generated by a generator or belongs to a real sample by using a discriminator; alternately training the generator and the discriminator; inputting a scene picture by using the trained generator to obtain a corresponding scene picture density map; and representing the total number of people in the picture by using accumulation of pixel values of the scene picture. The crowd counting method adopts a generative model, requires less data, and is higher in training speed and more suitable for actual application requirements; and meanwhile, the crowd counting method adopts a deeper neural network, thereby being capable of better eliminating background interference, generating the high-quality crowd density distribution map and playing a better decision-making support role for further crowd analysis and video surveillance.

The invention relates to a microblog hype group discovering method based on maximum frequent item set mining. Microblog hype groups are effectively discovered, and false and malicious hype is avoided. The method comprises the steps that the correlation of a hype microblog is used as a clue, and an account set participating in hype microblog transmission is obtained based on the crawler technology or a microblog public open platform; single microblogs are used as transactions, accounts participating in microblog transmission are used as items, and a hype microblog transaction database is built; for transactions, corresponding to a microblog set to be detected, in the transaction database, the maximum frequent item sets contained in the transactions are found, the overlapping ratio of the maximum frequent item sets is calculated, small-scale item sets are merged into large item sets, the intersection frequency is reduced, whether the transactions comprise a certain item or not is judged through the binary search method when intersection is obtained between the transactions, the maximum frequent item set mining efficiency is improved, and microblog hype groups are discovered. The microblog hype group discovering method based on maximum frequent item set mining is simple, and can accurately discover malicious microblog hype groups and avoid negative influences on the society.

The invention relates to a synthesis method and application of a ratiometric fluorescent molecular probe for simultaneously detecting a fluorine ion and a sulfite radical. The ratiometric fluorescent molecular probe adopts a 2-(2-hydroxyphenyl)benzothiazole derivative as a matrix structure, and detects the fluorine ion and the sulfite radical based on excited-state intramolecular proton transfer (ESIPT) and intramolecular charge transfer (ICT) mechanisms, respectively. The probe has a maximum emission wavelength of 498 nm in an acetonitrile solution with a concentration of 80%, when the fluorine ion is added, the fluorescence spectrum of the probe has a red shift of 136 nm; and when the sulfite radical is added, the fluorescence spectrum of the probe has a blue shift of 127 nm. The differentiated detection of the two ions can be realized by the fact that the fluorescence spectrum of the probe has an obvious red shift or blue shift after the fluorine ion or sulfite radical is added, respectively, showing different fluorescence response signals. The inventive fluorescent probe has the advantages of simple operation, mild reaction conditions, easy purification, high synthesis yield, good selectivity, high sensitivity and stable optical performances. At the same time, the design and synthesis of the fluorescent probe provide an important foundation for development of multi-functional fluorescent probes in the future.

The invention discloses a direction-of-arrival estimation method based on sparse representation of a spatial smoothing covariance matrix. The method mainly solves the problems that the calculation amount is large, the performance of processing coherent signal sources is poor and consequently errors in passive location estimation are large in the prior art. The method comprises the implementation steps: (1) forming a uniform linear array by antenna receivers, (2) the spatial smoothing covariance matrix output by the array is calculated according to the spatial smoothing technology, (3) vectorizing the spatial smoothing covariance matrix to obtain sparse model vectors, (4) carrying out mesh generation on a spatial domain to construct a perfect base, (5) establishing a constrained optimization equation based on the sparse representation relation between the sparse model vectors and the perfect base, (6) solving the constrained optimization equation according to the convex optimization method to obtain an optimal estimation value, and (7) drawing a magnitude spectrum according to the optimal estimation value to obtain the value of direction of arrival. By means of the method, the calculation speed of passive direction finding is increased, and the performance of estimating the coherent signal sources at a low signal-to-noise ratio is improved. The method can be applied to target reconnaissance and passive localization.

The present invention relates to the fields of brain function imaging and the construction of a brain network and specifically relates to a fusion brain network construction method based on structuralconnection and functional connection. The purpose of the present invention is to provide a brain network construction method with the fusion of two types of connections with the combination of the advantages of existing structural brain network and resting state function brain network in disease research, and the method is the fusion brain network construction method based on the structural connection and the functional connection. According to the method, a structural connection matrix and a resting state functional connection matrix are fused. According to the fusion brain network construction method, the difference of network attribute indexes of a brain network of a patient with brain diseases and a brain of normal people can be more effectively found, and the research of various brain diseases is helped.

The invention provides a moving vehicle detecting method based on aerially photographed video images, and relates to image movement analysis in image data processing. The moving vehicle detecting method based on the aerially photographed video images comprises the following steps: matching of input colored sequence images of a moving vehicle and further obtaining of background compensated images: carrying out image matching based on SURF feature points and estimating global moving parameters of a camera to obtain the background compensated images; roughly detecting the position of the moving vehicle; and accurate detection of the position of the moving vehicle: adaptively detecting roads, extracting CHLBP features of an alternative vehicle region and judging CHLBP features by using a SVM classifier to obtain the position of the moving vehicle. In the method, time and space characteristics are fused, and the shortcomings that a method in the prior art is only suitable for detecting a simple moving vehicle in single scenes, and is difficultly suitable for detecting multiple moving vehicles in different scenes, and detection accuracy is easily affected by changing in scale, complicated environments and movement of cameras are overcome.

The invention discloses a mode collapse resistant robust image generation method based on a novel conditional generative adversarial network. Compared with a method in the related art, the technologydisclosed by the invention has the advantages that the adaptability is strong, the robustness is good, only the category of a required image is required to be specified in the using phase, not manualintervention is required in the process, the training phase is short in consumed time, the training process is stable, and the balance between the diversity and the authenticity of generated images issufficiently maintained. The main innovation of the mode collapse resistant robust image generation method lies in that a mode collapse problem and a training failure problem in the training processof other conditional generative methods are solved. Meanwhile, parameters are respectively optimized for a classifier and a discriminator, thereby avoiding problems of instable training and mode collapse of the methods of the same category. In addition, the invention further introduces a construction strategy for weight sharing, so that the training speed is greatly improved and the storage overhead is reduced under the premise of not damaging the original performance. The mode collapse resistant robust image generation method is applied to a diversified image data generation task of low-costlarge-scale specified labels.

The invention discloses a human skeleton action recognition method, and relates to a method for identifying graphics. The method is a human skeleton action recognition method combining space-time attention and a graph convolution network. Diversity and complementarity of different feature information are fully mined; the weight value of each joint point of the space structure and the importance ofeach frame of the video sequence are adaptively adjusted by using an attention mechanism; the motion recognition of the human skeleton is carried out by using the graph convolution network, and the defects that in the prior art, space-time feature information cannot be better captured, and errors are likely to occur in the recognition of the difficult motion of the human body are overcome.

The invention discloses a novel compound capable of sulfite ion fluorescent identification, and particularly relates to a preparation method and application of a sulfite ratiometric fluorescent probe, belonging to the technical field of chemical analysis and detection. The molecular structural formula is disclosed in the specification. The fluorescent probe is used for fluorescent sensing and analysis of sulfite ions in an environmental or biological sample; after adding the sulfite, the formyl group and sulfite radical are subjected to addition reaction to generate hydroxy sulfonate; and the fluorescent probe has the advantages of favorable identification selectivity for sulfite ions and high interference resistance, can sensitively and quickly identify the sulfite ions from multiple anions, and has favorable application prospects.

The invention discloses a direction-of-arrival estimation method based on sparse representation. The method mainly solves the problems that because a similar technology is large in calculation amount and low in angular resolution, the estimation speed of target reconnaissance and passive location is low and estimation errors in target reconnaissance and passive location are large. The method comprises the implementation steps: (1) acquiring output signals of an array and calculating a covariance matrix R of the signals, (2) constructing reconstructed sparse vectors through lower triangular elements of the covariance matrix R, (3) carrying out mesh generation on a spatial domain to construct a perfect base, (4) converting the direction-of-arrival estimation issue into the issue of solving a constrained optimization equation according to the sparse representation relation between the reconstructed sparse vectors and the perfect base, (5) solving the constrained optimization equation according to the convex optimization method to obtain the optimal estimation vectors, (6) drawing a magnitude spectrum according to the one-to-one correspondence of the optimal estimation vectors and spatial domain angles to obtain the direction-of-arrival value. By means of the method, the calculation speed of target reconnaissance and passive location is decreased, and the estimation errors in target reconnaissance and passive location are reduced. The method can be applied to target reconnaissance and passive location.

The invention discloses synthesis and application of a fluorescence-enhanced fluorescent molecular probe for rapidly detecting hydrogen sulfite ions or sulfite ions. The structural formula of the fluorescent molecular probe is shown as FORMULA (1). The fluorescent molecular probe for rapidly detecting the hydrogen sulfite ions or the sulfite ions, provided by the invention, has the advantages of high response (15 s), low detection limit (48 nM), high selectivity, high sensitivity, suitability for naked eye detection, wide pH application range and the like, and can be applied to detection of the hydrogen sulfite ions or the sulfite ions in living cells; the fluorescent molecular probe is not interfered by negative ions such as AcO-, CO32-, F-, Cl-, Br-, HCO3-, NO3-, S2O32-, HS-, SO42-, HPO42-, H2PO4-, PO43-, SCN- and the like; even in the presence of interfering ions, the fluorescent molecular probe also has good response to the hydrogen sulfite ions or the sulfite ions and has the detection limit as low as 48 nM, so that the fluorescent molecular probe is a very sensitive detection system; the fluorescent molecular probe can be applied to analysis and imaging of the living cells, so that the fluorescent molecular probe has a potential practical application value in the fields of biochemistry, environmental science and the like.

The present invention is specific SCAR label and specific primer of soybean cyst roundworm and their quick PCR detection method, and belongs to the field of biotechnology. The specific SCAR label of soybean cyst roundworm features its nucleotide sequence as shown in SEQ No. 1. The specific primers SCNF1 and SCNR1 designed based on the specific SCAR label of soybean cyst roundworm may be used in the quick PCR detection of soybean cyst roundworm and can amplify a 500 bp segment. It is also possible to add primers D2A and D3B as internal standards to amplify a 800 bp segment simultaneously. The present invention has raised molecular detection sensitivity, fast detection speed, accurate detection result and very high application value in the early detection of soybean cyst roundworm and the early diagnosis of soybean cyst roundworm disease.

The invention relates to a preparation method of a fluorescent molecular probe for detecting fluoride ions through colorimetric detection and fluorescence enhancement and an application of the fluorescent molecular probe to detecting fluoride ions. The fluorescent molecular probe is prepared by protecting 2-hydroxyl-1-naphthaldehyde taken as a raw material with silane and then condensing the raw material and malononitrile. The fluorescent molecular probe is simple and convenient to synthesize, and reaction conditions are mild. The fluorescent molecular probe has the specific characteristics that the probe molecule has stable optical properties and higher synthetic yield; the probe molecule has high fluoride ion detection sensitivity and low lower limit of detection, and the limit of detection is 0.52mu M; the response range is 0-100mu M and the detection range is wide; the probe molecule has good selectivity and has no responses to anions, such as dihydrogen phosphate radicals, acetate radicals, bromide ions, hydrosulfate radicals, chlorate radicals, iodide ions, chloride ions and nitrate radicals; the probe molecule is suitable for colorimetric detection; the fluorescent molecular probe has practical application values in the fields of biochemistry, environmental sciences and the like.

The present invention discloses a novel fluorescent probe capable of specifically recognizing cysteine, wherein the molecular structure formula is defined in the specification. According to the present invention, the fluorescent probe can distinguish the mercapto-containing cysteine from the mercapto-free amino acid region, can distinguish the cysteine from the homocystine and the glutathione having the similar structure, emits red light during cysteine detection, can reduce the background interference and the damage of light on tissue cells in biological applications, exhibits great Stokes shift, can reduce self-absorption so as to improve the sensitivity, can be used for the fluorescence sensing analysis of the cysteine in environments or biological samples, and has advantages of good selectivity to cysteine, high sensitivity, strong interference resistance, and good application prospect.

This invention discloses an automatic display method for the extension transfer incoming information and its system, among which, the system includes a master server, a telephone interface module, a network communication interface and a customer end computer. The extension number and its related customer end computer address are stored in the master server, which collects the calling incoming number and its dialed called extension number by the telephone interface module and transmits said calling number and its related incoming information of the caller to a computer of the corresponding customer end based on the customer computer address corresponding to the called extension number to display them on the screen, which can transmit the incoming information to computers assigned by the extensions by network and displays the information by multimedia.

The invention relates to a highly-reliable pulse counting test system based on FPGA (Field Programmable Gate Array). The highly-reliable pulse counting test system based on FPGA comprises a test system, a digital multimeter and auxiliary equipment, wherein the auxiliary equipment is used for generating a test current and providing the test current to a circuit to be tested, the test system provides a sampling control signal to the digital multimeter and provides multiple paths of pulses for the circuit to be tested, and the digital multimeter carries out voltage sampling to the test current of the auxiliary equipment under the control of the sampling control signal. The highly-reliable pulse counting test system based on FPGA solves the technical problems of pulse counting methods in prior arts that real-time property is hard to guarantee, counting errors exist, the test system involves many instruments and equipment, the universality is not strong, labor intensity is high, relatively numerous personal errors exist, and testing efficiency is low; and the highly-reliable pulse counting test system based on FPGA can realize highly-reliable reversible counting of multiple paths of pulses, can output multiple paths of pulse signals with adjustable time sequence, and can measure related technical indexes of an I / F conversion circuit.

The invention discloses a novel compound for cysteine, homocysteine and glutathione fluorescent recognition, relates to a preparation method and a use of a novel fluorescent probe and belongs to the technical field of chemical analysis detection. The novel fluorescent probe has a molecular structural formula shown in the description. The novel fluorescent probe is used for fluorescent sensing analysis of cysteine, homocysteine and glutathione in the environment or a biological sample, has good selectivity and good interference resistance, can sensitively and fast distinguish a mercapto-containing amino acid in a plurality of amino acids and has a good application prospect.

The invention aims to provide a service quality assurance oriented cognitive network service migration method. The method comprises the steps of starting a service migration mechanism if a cognitive network system detects the situation that the service of a working node is not valid in the system; pausing the service which currently executed on the node with invalid service and establishing a service migration instance; reconstructing the paused service in a layered way; figuring out a migration path and then sending a service migration request to a migration node; carrying out migration and informing a new migration position by the migration node after receiving the request; registering the service on a new working node; activating a suspended migration service; and deleting a backup of the migration service by the original working node to finish the service migration process. According to the invention, the technical difficulty of large service fault-tolerant recovery expense and poor effect under a network environment is fundamentally solved; and the service quality assurance oriented cognitive network service migration method provided by the invention has the characteristics of low cost, small side effect, simplicity in implementation and better market application prospect.

A sequence-association-based query method for personal computer files includes: automatically monitoring operations on files in a personal computer, automatically acquiring an access sequence of a user for the files in the personal computer, and establishing a sequence association map between the personal files according to the access sequence; based on entered keywords, acquiring a set of files, with names matching with the user-entered keywords, by a string matching method, using the set of files as an initial query result set, and further calculating a more comprehensive query result by means of the sequence association map based on the set. Personal desktop file query is combined with the sequence association of file assessing by a user, and the solution is provided for the query according to users' demands by means of file access sequence association. The method is simple, practical and easy to implement. The time of searching files is greatly reduced for users, querying the personal desktop files is facilitated for users, and users' query needs in particular scenes can be met.

The invention relates to a lead-free piezoelectric potassium sodium niobate optoelectronic multifunctional material and a preparation method thereof and belongs to the technical field of luminescent materials. According to the invention, the fluorescence property and the piezoelectric property of a lead-free piezoelectric potassium sodium niobate material are remarkably increased by utilizing the synergistic combination effect between rare earth ion and metal ion. The multifunctional material disclosed by the invention comprises the following components in percentage by mass: (K0.5Na0.5) (1-y-x) MyLnxNb (1-y) TiyO3, wherein the Ln is selected from at least one of Sm, Pr and Eu; M is one or more than one ion in metal elements Ca, Sr and Ba; x is greater than 0 and less than or equal to 0.05; y is greater than 0 and less than or equal to 0.2. The multifunctional material disclosed by the invention is formed by mixing a certain amount of rare earth element into (K0.5Na0.5) NbO3 (KNN) host material with a perovskite structure; in the meantime, a ferroelectric material MTiO3(M is Ca, Sr and Ba) with the same structure is added to form a solid solution together with the KNN to ensure that the material has excellent luminescence property; therefore, the multifunctional material has a blue light-excited photoluminescence characteristic and has the piezoelectric property and the ferroelectric property per se at the same time and has potential application prospect in the field of optoelectronic integration devices.

The invention discloses potassium sodium niobate based lead-free piezoelectric ceramic, which is characterized by having a chemical formula of [(Na0.5+xK0.5-x)0.94Li0.06][(Nb0.94Sb0.06)0.95Ta0.05]O3+ymol%TM+zmol%RE, wherein TM is MnO2, Fe2O3 or Ni2O3, RE is CeO2 or Nd2O3, the value of x is 0 or 0.01-0.11, the value of y is 0.02-0.12, and the value of z is 0-0.05. The invention further discloses a preparation method application of the ceramic. The ceramic disclosed by the invention maintains an excellent piezoelectric ferroelectric property, simultaneously has a high withstand voltage performance, has very good withstand voltage performance and temperature stability, and still maintains very high withstand voltage strength at the high temperature of 140 DEG C. The voltage withstand performance of the material is obviously superior to that of the commonly used barium strontium titanate (BST) based high-voltage ceramic capacitor material, and the withstand voltage value of the material at normal temperature is 1.7 times more than that of a BST material.

The invention provides a composite aerogel material and a preparation method, multifunctional recycling method, multifunctional composite aerogel material and application thereof. By adopting the combination of a water-soluble high-molecular polymer and a nanowire, an organic-inorganic composite aerogel material rich in multi-active sites shows the excellent adsorption performance of heavy metal ions. Complex production equipment is not needed, the method is simple and easy to implement, the time and labor are saved, and industrial large-scale production is easy to achieve. Accordingly, on the overall design ideas, the purpose of aiming at design of a new structure and performance study of materials is achieved, the subsequent processing process and the reuse angle of the material are created, composite aerogel absorbed with the metal ions is converted into a functional material, the new function of the material is further performed, requirements in multiple aspects are met, multistage utilization of the material is embodied in the overall technical scheme, and then the use efficiency and the recycling series are improved.

The invention relates to an integrative performance test method for vaporizing and cooling different heat exchange models and modes, comprising the following steps that: 1. a multifunctional test for testing the performance of the vaporizing and cooling the heat exchange module is prepared; 2. the heat exchange performances of the two models of the heat source dissipation inside the heat exchange module and the heat source dissipation outside the heat exchange module are tested; 3. under the two models, the heat exchange performance of the crosscurrent, the reverse current and the fair current modes of the vapor flow direction are tested. The invention adopts one set of the wind source, the water source, the electroheat source and the test system, takes a small wind-cone as a body, can test the heat radiation performance of hot water in the stuffing under the external heat source under various modes of the crosscurrent, the reverse current and the fair current of the vapor by simple transformation and can test the heat source cooling performance under the internal heat source. The tests basically include the main heat performance tests of an open type cooling tower and a closed type cooling tower as well as the outside of the vapor cooling pipe (condensing pipe). Moreover, the method is simple and feasible, the test range is wide and the comprehensiveness is strong.

A ramie fabric reinforced polylactic acid composition able to be fully biodegradated is prepared through respectively dissolving the polylocatic acid and polycaprolactone in organic solvent, treating the surface of ramie fabric, immersing it in said polycaprolactone solution, adding the solution of polylactic acid, sealing and in-situ polymerizing.

The invention relates to a preparation method of a micropatterned nanofiber. A physical structure of a salivary gland acinar cell system is simulated within nanometer and micrometer scale ranges by combining a photoetching micropattern array and utilizing the advantage that an electrostatic spinning PLGA (Polylactide / Glycolide) nanofiber membrane serves as an engineering salivary gland tissue; due to the addition of the photoetching micropattern array, the surface area of a nanofiber base material can be remarkably increased. The nanofiber prepared by the invention has more practical application values in the field of preparation of salivary glands for tissue engineering.

The invention relates to a data cleaning and forecasting method which comprises the following steps: S1, performing cluster analysis on data in a database to obtain abnormal data which is not classified, namely the data to be cleaned; S2, deleting the abnormal data; S3, forecasting and filling the data vacancy after the abnormal data is cleaned by a wavelet neural network and a combination forecasting method; and S4, forecasting the SOC value of a single battery. The invention also relates to a mobile charge system for an electric vehicle. The mobile charge system comprises a battery module, adischarge module, a charge module and a display screen and is characterized by also comprising an insulation monitoring module, a data acquisition array module and an intelligent monitoring management module. The method provided by the invention has the advantages that the intelligent monitoring management module is adopted for cleaning the abnormal data of the single battery acquired by the dataacquisition array in the charge and discharge processes, and the wavelet neural network and the combination forecasting method are adopted for accurately forecasting the value of the data vacancy ofthe cleaned abnormal data and the SOC value of the single battery so as to ensure the reliability and stability of the system.

The invention discloses a novel compound being used in fluorescent detection for phiophenol and particularly relates to a preparation method and an application of a novel fluorescent probe, and belongs to the technical field of chemical analysis and detection. The molecular structural formula of the compound is represented as follows. The fluorescent probe has good selectivity, strong anti-interference capability and high sensitivity, can be used in the fluorescent detection for phiophenol in a biological or environmental sample, and has excellent application prospect.

The invention belongs to the field of composite functional material, and discloses a fluorescent carbon quantum dot composite light-emitting material, a preparation method therefor and application on LED. The fluorescent carbon quantum dot composite light-emitting material is prepared by the following method: (1) preheating an organic silane compound with stirring, adding an organic acid to react, and cooling to obtain a silane functionalized fluorescent carbon quantum dot solution; and (2) weighing the silane functionalized fluorescent carbon quantum dot solution, adding absolute ethyl alcohol, adding acid to adjust PH to 4.0-7.0, adding a silicate solution with stirring, adding a phosphor to react, and drying and grinding to obtain the required fluorescent carbon quantum dot composite light-emitting material. Through the doping of the fluorescent carbon quantum dot with inorganic phosphors of different concentration, an emission-tunable fluorescent carbon quantum dot composite light-emitting material within the range from the red-purple to light green-blue is obtained. When excited by 375nm UV chip, white light can be successfully obtained, and can be well applied to LED.

The invention relates to methanol diesel oil which comprises methanol, diesel oil, fatty acid, petroleum acid, cosolvent, aviation kerosene, a cetane number improver and zinc peroxide. The invention further relates to a preparation method of the methanol diesel oil. According to the methanol diesel oil, the content of methanol in a system is greater, the methanol diesel oil has better mutual solubility with fossil diesel oil, the performance of the methanol diesel oil is improved obviously, and the methanol diesel oil can serve as -20# diesel oil for use, and is safe, environment-friendly and low in raw materials cost. The preparation method is simple in step, mild in condition and suitable for large-scale industrial production.