111results about How to "Capture more" patented technology

A payment processing system continuously processes transactions. Multiple modeling technologies are used within a fraud detection system to each handle different blocks of segmented transaction data in order to detect fraud. Model data is created from recent segmented transaction data that is currently handled by an existing model; each transaction includes a fraud flag as to whether it was fraudulent or not. The model data is used to train, validate and test any of a number of types of models where the fraud flag is the target. Performance metrics such as Sensitivity, Review Rate and False Positives are calculated for each trained model. An operational objective is used to determine a value for a particular performance metric which then dictates values for other performance metrics for each model. The best model is chosen by optimizing the performance metrics. The best model is configured and deployed to replace the existing model.

A multi-camera vehicular image recorder has a hollow body and a first image capturing module and a second image capturing module mounted in the body. The body has a first lens opening and a second lens opening formed through a front cover thereof. A lens of the first image capturing module is pivotally oscillated up and down within the first lens opening The second image capturing module is fixed to be adjacent to the second lens opening. The body further has a third lens opening formed through a rear cover thereof. A third image capturing module is pivotally oscillated up and down within the first lens opening. As the first image capturing module is pivotable upwards and downwards, a view angle images taken by the first image capturing module is broader in collaboration with the second image capturing module and more complete driving conditions can be captured and provided.

The invention discloses a preparation method and application of a novel visible light response compound photocatalyst for growth of ZnIn2S4 on the surfaces of TiO2 hollow spheres. The method can be applied to treatment of water body pollution. The method includes the following steps of ultrasonically dispersing the obtained TiO2 hollow spheres in water, and then preparing a ZnIn2S4 / TiO2 nanometer compound hollow sphere photocatalyst through an in-situ hydrothermal method. The prepared ZnIn2S4 / TiO2 nanometer compound hollow sphere photocatalyst can be used for catalyzing and degrading tetracycline hydrochloride, levofloxacin and methyl orange under visible light. The obtained ZnIn2S4 / TiO2 nanometer compound hollow sphere photocatalyst can capture more visible light and has a matched band gap structure, photoelectron and hole separation efficiency can be improved, good interface contact promotes photoelectron transmission, and the visible light catalytic activity of the catalyst is remarkably improved.

The invention discloses a preparation method of a high efficiency CdS-CdIn2S4 superstructure photocatalyst. The preparation method comprises that 1, cadmium acetate and sodium diethyldithiocarbamate as raw materials undergo a solvothermal reaction in an ethylenediamine-dodecanethiol mixed solvent at a temperature of 180 DEG C for 24h to produce a CdS nano-wire, and 2, the prepared CdS nano-wire, InCl3. 4H2O and L-cysteine undergo a reaction in ethanediol as a solvent at a temperature of 200 DEG C under the condition of backflow for some time to produce a finished product. The preparation method is green and environmentally friendly and realizes large scale production. The CdS nano-wire / CdIn2S4 nano-sheet composite superstructure can be used in the field of energy conversion such as water decomposition hydrogen production based on photocatalysis and photoelectrocatalysis.

The invention discloses a resident traffic flow prediction system and a prediction method thereof. A full convolutional network can be adopted to perform prediction. Geographic grid division can be adopted; urban resident travel areas can be divided into multiple grid areas; the traffic flow data of the travelling of residents can be converted into flow diagrams as the input of the full convolutional network; data dimensions can be increased through the number of channels of different extended images; the characteristics of the traffic flow diagrams can be extracted through convolution layers;images whose magnitudes are equal to the magnitudes of input flow diagrams can be obtained through multiple deconvolution; and the whole network can be reversely adjusted through the error of actualflow diagrams and prediction flow diagrams at the next time quantum. Thus, fully connected operation of traditional convolutional networks can be removed, the traffic flow diagrams at the next time quantum can be predicted by adopting deconvolution, so that prediction precision can be enhanced, and model parameters and calculation consumption can be massively reduced.

The scheme relates to artificial intelligence, and provides an emotion recognition method, a device and a computer readable storage medium, andthe method comprises the following steps of: receiving audio data, generating a voice spectrum graph aiming at the audio data, inputting the voice spectrum graph to a first recognition module, inputting the audio data to a second recognition module, whereinthe first recognition module extracts a first feature vector by adopting a DCNN network and an RNN network which are sequentially connected the second recognition module extracts a MFCC from audio data, andthe MFCC is transformed into a second feature vector by s non-linear transformation;and the first and second feature vectors output from the first and second recognition modules are connected to form a combined feature and be input into a full connection layer and a soft Max layer in turn for emotional recognition.. By means of the scheme, the combination of the DCNN and the RNN is beneficial for simulating subtle local emotion clues, the MFCC describes voice characteristics in a short time, more emotion related features are captured through two features extraction modes, and the emotion recognition rate is improved.

The invention discloses a rolling bearing fault identification method based on a GAF-CNN-BiGRU network. The method comprises the steps of firstly converting the vibration signal data of a rolling bearing into a two-dimensional image through a Gram angle field, and then completing the fault classification through a CNN-BiGRU network model, converting rolling bearing vibration signal data into a two-dimensional image by using the Gram angle field, so that complete information of an original signal is reserved, and dependence of the data on time is also reserved. In the CNN-BiGRU network model, spatial features in the two-dimensional image are extracted through a convolution unit, and time features of the two-dimensional image are further screened out through a bidirectional gate control unit, so that the accuracy of fault classification is improved.

The present invention provides a method and apparatus for sequestering carbon from atmospheric air using a hydroxide compound in a two stage process to maximize carbon dioxide capture. The first stage is provided by a coarse filter saturated with a calcium hydroxide solution. The second stage is provided by a reaction chamber having at least one spray nozzle for creating a mist of hydroxide solution within the reaction chamber. Air is drawn through the device by a fan to cause the air to first contact the hydroxide solution on the saturated filter, and then to contact the hydroxide solution in the mist sprayed within the reaction chamber. The hydroxide solution is collected in a reservoir, centrifuged to separate the captured carbon from the solution, and then recirculated back into the saturated filter and through the spray nozzles into the reaction chamber.

A method of interoperating with an electronic messaging service manages the execution of a business process. The method includes causing the electronic messaging service to present business process data to business process participants in enhanced electronic messages whereby business process participants can interact with the enhanced electronic messages. Reactions of business process participants to the enhanced electronic messages are received via the electronic messaging service.

The invention relates to a multi-frequency coupled vibration energy capturer comprising multiple piezoelectric cantilever beams (1), a base frame (3), and an electric control plate (4). The piezoelectric cantilever beams (1) are installed on the base frame (3). Permanent magnets (2) are disposed on the piezoelectric cantilever beams (1). The multiple piezoelectric cantilever beams (1) have same length and different thicknesses. The permanent magnets (2) are arranged on the same positions of the multiple piezoelectric cantilever beams (1). The multiple piezoelectric cantilever beams (1) are connected with the electric control plate (4) through a line. Each piezoelectric cantilever beam (1) is composed of a metallic sheet (5), a piezoelectric patch (6), and a silver electrode surface (7). Compared with a product in the prior art, the multi-frequency coupled vibration energy capturer is novel and simple in structure and uses the magnetic coupling of the multiple piezoelectric cantilever beams with different inherent frequencies. When being seriously deformed, any piezoelectric cantilever beam forces other piezoelectric cantilever beams to deform. Thus, more energy can be captured in a wider frequency domain and high energy capture efficiency is achieved.

The invention relates to a high-voltage axial flow fan, comprising an impeller device and a drive motor device. The axial flow fan is characterized in that: the impeller device comprises a hub, wherein a plurality of wing-shaped blades are arranged on the hub, a conical fairing is arranged at the inlet end of the hub, and the hub is arranged on the drive shaft of the drive motor device; the drive motor device is arranged in the center of a flow guidance cylinder and is fixed on the inner wall of the flow guidance cylinder through a plurality of pull arms, and the conical fairing is arranged on the rear part of the drive motor; each wing-shaped blade comprises a blade body and a blade root, a wing-shaped pit area is arranged on the lower part of the inlet edge of the blade body, a wing-shaped convex area is arranged in the middle of the inlet edge of the blade body, and a wing-shaped concave area is arranged on the upper part of the inlet edge of the blade body; an inward convex acceleration area is arranged on the blade basin surface of the blade body; and a rectification area is arranged at the outlet edge of the inside of the blade body.

The invention relates to the technical field of wind power field control, in particular to a wind power field grade yawing dynamic optimization method for sector adjusting and control. The method comprises the steps that onsite monitoring data of each wind power generator are obtained; payload data for expressing the part payload situation of all wind power generators are obtained; aiming at a plurality of pre-divided sectors, based on the onsite monitoring data and the payload data, whether wind power generators are influenced by wake flow of the other wind power generators in the corresponding sectors is judged one sector by one sector; and the wind power generator which is influenced by the wake flow is subjected to yawing optimization control so that the corresponding wind power generator can reach the optimal power and optimal payload under control of a yawing motor. The invention further relates to a wind power field grade yawing dynamic optimization system for sector adjusting and control. According to the wind power field grade yawing dynamic optimization method and system for sector adjusting and control, new yawing control strategies are made aiming at the wind power generators influenced by wake flow so as to ensure the effect that the wind power generators can also capture more wind energy when are influenced by the wake flow, and meanwhile, payload increasing is reduced.

The invention is suitable to the technical field of polarization and provides an electret polarization device and a method for polarization by adopting the same. The polarization device comprises a needle electrode, a direct-current high-voltage power source and a metal base which are sequentially connected in series, wherein more than two coils are arranged between the needle electrode and the metal base, and the more than two coils are same in size and parallel to the metal base, have sequentially increasing energizing currents and are coaxially arranged at intervals. In the invention, by arranging more than two coils, which are same in size and parallel to the metal base, have sequentially increasing energizing currents and are coaxially arranged at intervals, between the needle electrode and the metal base, charges can be furled and concentrated into a small range, the quantity of electric charges in unit area on the electret is increased, and more charges can be captured by a deep well.

The invention discloses a high-temperature superconducting magnetic suspension vehicle system. The high-temperature superconducting magnetic suspension vehicle system comprises a permanent magnet track (1) which consists of permanent magnets, magnetism gathering materials and the like, a suspension vehicle body above the permanent magnet track (1), and a low-temperature container (2) fixed at the bottom of the suspension vehicle body, wherein a single or a plurality of high-temperature superconducting block materials (3) are fixed in the low-temperature container. The high-temperature superconducting magnetic suspension vehicle system is characterized in that the crystallon surface (3a) of the superconducting block materials (3) faces to the permanent magnet track (1), and one crystallon growth border line (3b) of the crystallon surface (3a) is consistent with the extending direction of the permanent magnet track (1). The superconducting block material magnetic suspension vehicle system can obtain stronger and more stable suspension performance under the circumstance that any spare parts and costs are not increased.

The invention discloses a voice keyword recognition method based on end-to-end, a device thereof and equipment. The concept of the invention is to combine with an end-to-end thought; according to themethod, a pre-built keyword recognition network is directly fitted from the features to the target, so that the recognition process is simpler and more efficient, the superposition effect of adverse effects can be avoided, meanwhile, the keyword recognition network is easier to achieve global optimization, the development cost can be effectively reduced, and therefore, the method has a higher practical value in an actual business scene. According to the invention, an acquisition strategy of identification features is improved; therefore, the pronunciation characteristics adapting to the business scene can be fully represented; therefore, more potential key information can be captured; in addition, the keyword recognition network architecture provided by the invention can utilize the context information from the acoustic perspective, so that the defect that the existing scheme only performs recognition through an isolated pronunciation sample is fundamentally overcome, and the processing effect of locking the keywords from the audio is further obviously improved.

The invention relates to a micro-energy system with a high weight ratio energy density, a method and application. The invention is characterized that the construction of the system comprising the following steps of: (1) sputtering and growing an Al film on the back surface of a GaAs battery; (2) sputtering and depositing nitrogenized Ni-Co on the surface of Al film, wherein the general formula is ComNi1-mN, and m is more than 0 and less than 1; (3) sputtering and depositing a Li1.3Ti1.7Al0.3(PO4)3 film on the surface of the nitrogenized Ni-Co film; (4) depositing a metal Li film on the Li1.3Ti1.7Al0.3(PO4)3 film; (5) sputtering a layer of Cu film on the surface of the Li film; and (6) during sputtering of the steps (2)-(5), firmly attaching a stainless steel mask plate to the Al surface of an uncovered multi-layer film on the surface of the Al film, arranging an energy management circuit and an RF (Radio-Frequency) transceiving module in sequence, and connecting the anode of the GaAs battery, the anode of the Li battery, the output end of the energy management module and the output end of the RF transceiving module with a metal wire. According to the invention, the high weight ratio energy density can be up to 438wh / kg, the system can work for 5 days continuously on cloudy days, and a technical measure is provided for long-time power supply and field application of the node miniaturization of the Internet of things.

The invention belongs to the field of solar cells, and discloses a parallel type polymer solar cell. The parallel type polymer solar cell comprises an anode substrate, a first hole buffering layer, a first active layer, an n-type doped layer, a second active layer, a second hole buffering layer and an anode layer which are stacked sequentially. The active layers of two cell units can capture sunlight as much as possible, so that large quantities of electrons and holes are formed, a connecting layer for connecting two cells is the n-type doped layer capable of increasing conductivity of the cells, and hole and electron injection efficiency is improved.

The invention discloses a polymer solar cell belonging to the field of solar cells. The cell is of a stratified structure; the stratified structure comprises an anode substrate, a cavity buffer layer, an active layer, a connecting layer, an electronic buffer layer and a cathode layer, wherein the connecting layer is of a n-type doped layer-metal layer-P type doped layer structure. With the adoption of the polymer solar cell, the active layers of the two cells can be used for capturing sunshine as much as possible, so that more electrons and cavities are generated; and as the connecting layer for connecting the two cells is of a N-type doped layer-metal layer-P type doped layer structure, the electrical conductivity of the cells can be improved by the N-type doping and the P-type doping, so that the injection efficiency of the cavities and the electrons are improved.

The invention provides a detection method for fast detecting Listeria monocytogenes. According to the scheme, Fe3O4 / Ru(bqy)3<2+> nanoparticles are subjected to bacterium enriching; a test strip is prepared; sample loading detection is performed. The step of eluting the Listeria monocytogenes from immunomagnetic beads is omitted, so that the capture efficiency is improved; the step of spraying Ru(bqy)3<2+> nanoparticles onto a combining pad is omitted, so that the immunological reaction is more uniform, and the variable coefficient is small during the quantitative determination; the workload and the infectious microbe contamination probability are reduced. The sensitivity of the detection scheme is very high, and the stability is high.

The invention relates to the technical field of virtual power plant optimization, in particular to a virtual power plant optimization scheduling method considering electricity-to-gas coordination, which comprises the following steps: introducing a carbon capture power plant electricity-to-gas gas unit coordinated operation framework into a virtual power plant, and constructing a virtual power plant system; performing combined scheduling operation of a carbon capture power plant, a waste incineration power plant and wind and light in a virtual power plant, optimizing a virtual power plant system by taking the carbon capture power plant and the waste incineration power plant as controllable units, and establishing a virtual power plant optimal scheduling model; and solving the virtual powerplant optimal scheduling model by adopting a reverse cotangent composite differential evolution algorithm. CO2 captured by carbon can be used as an electricity-to-gas raw material, and generated natural gas is supplied to a gas unit; and the carbon capture energy consumption and the flue gas treatment energy consumption are subjected to load transfer through combined scheduling so as to stabilizerenewable energy fluctuation, so that the wind power photovoltaic is indirectly schedulable and is flexibly utilized, and internal resources are more effectively utilized.

The invention relates to a steaming and baking all-in-one machine which comprises an inner container, a circulating fan is installed on a back plate of the inner container, a hot air baffle is arranged on the rear side of an inner cavity of the inner container, a hot air chamber is defined by the hot air baffle and the back plate of the inner container, an impeller of the circulating fan is located in the hot air chamber, and a heating pipe is arranged on the periphery of the impeller. The circulating fan further comprises a rotating shaft extending front and back, the middle of the rotating shaft is connected into a central shaft hole of the impeller in a penetrating mode, a rotor is arranged at the rear end of the rotating shaft, and a stator capable of interacting with the rotor to drive the rotating shaft to rotate is arranged on the rear surface of the inner container back plate. The rotating shaft can be driven to rotate through interaction of the stator and the rotor inside and outside the inner container, so that the inner container does not need to be provided with holes, the air tightness of the inner container is guaranteed, and the cooking efficiency is improved, especially in steaming cooking.

The invention provides a method for rapidly detecting enterobacter sakazakii. According to the scheme, the method comprises the steps of enriching Fe3O4 / Ru(bqy)3<2+> nanoparticles with bacteria, preparing test strips, and mounting a sample for detection. By means of the method, the step of eluting enterobacter sakazakii away from immunomagnetic beads is omitted, and capturing efficiency is improved; the step of spraying Ru (bqy) 3<2+> nanoparticles to a binding pad is omitted, an immunology reaction is more uniform, and the variation coefficient generated in the quantitative detection process is small; working load is reduced, and the probability of sundry bacteria contamination is lowered. The detection scheme is quite high in sensitivity and quite good in stability.

The invention relates to a micro-energy system with high energy density per unit volume and a fabrication method thereof. The fabrication method of the system is characterized by comprising the following steps of: (a) drilling holes on a glass substrate by a diamond drill bit, wherein, the holes are two opposite hollow circular tables; (b) sputtering an Al membrane on the front face and rear face of the glass substrate so that the depth of a cavity is filled with the thickness of the Al membrane so as to realize double-sided Al interconnection; (c) sequentially depositing a cobalt-nickel nitride, a LiPON membrane, a Li membrane and an Al membrane on the rear face of Al; (d) arranging an energy management module and an RF (radio frequency) transceiver module on the surface of the Al membrane which is uncovered with a battery multilayer film; (e) sequentially depositing n-type microcrystalline silicon, i-type GexSi1-x (x is more than 0 and less than 1), p-type amorphous silicon and AZO containing 3% of Al on the Al surface of the front face of the glass substrate; and (f) connecting the AZO, a Li battery anode, an output end of the energy management module and an output end of the RF transceiver module by a Au line. In the invention, by adopting a sputtering deposit method, the energy density per unit volume of the obtained micro-energy system is more than 291.9W / L, which provides a technical means for node miniaturization of Internet of things, portability, long-time power supply and field application.

The invention belongs to the field of wind power generation devices and particularly discloses a novel power generation device. The novel power generation device comprises a supporting frame, a rear-end rotary interference column body and a power generation unit. The rear-end rotary interference column body is rotatably connected with the supporting frame. A weather vane is mounted at the upper end of the rear-end rotary interference column body. The power generation unit is mounted on the rear-end rotary interference column body. The power generation unit comprises two supporting plates and atwo-side fixed support arranged between the two supporting plates. Two power generation modules are arranged between the two side of the two-side fixed support. Each power generation module comprisessleeves, coils are arranged in the sleeves, cylindrical magnets are arranged outside the sleeves, the two sides of the cylindrical magnets are connected with the two sides of the two-side fixed support through springs and are limited through grooves formed in the supporting plates. Vibration cylinders are arranged between the cylindrical magnets of the two sets of power generation modules. The novel power generation device can increase the vibration amplitude and the frequency locking interval of the vibration cylinders and is large in output power and good in environmental adaptability.

A ring fiber core bird beak-shaped optical fiber optical tweezer system with a stable capturing function is characterized in that optical fiber optical tweezers are composed of a ring fiber core birdbeak-shaped optical fiber probe, a laser device, an adjusting frame, a sample groove, a microscopic imaging system, a Raman laser source and a Raman detector. The bird beak-shaped optical fiber probeis characterized in that evanescent field distribution of the side face of an optical fiber is enhanced by changing the curvature radius of a bent tip area of the optical fiber, gradient force borne by cells is increased, and therefore stable capture of the cells is achieved. Finally, Raman laser is emitted into the bird beak-shaped optical fiber optical tweezers, and corresponding Raman frequencyshift can be acquired through a detector, thereby realizing cell characteristic detection.

The invention discloses a point-to-point wireless power supply coil coupling model and a point-to-point wireless power supply system. The point-to-point wireless power supply coil coupling model comprises a transmitting resonant ring and a receiving resonant ring. The transmitting resonant ring and the receiving resonant ring in the point-to-point wireless power supply coil coupling model are coupled to each other, the resonant frequency of the transmitting resonant ring is identical to the resonant frequency of the receiving resonant ring, that is, the transmitting resonant ring and the receiving resonant ring stay at a magnetic resonance state, and the transmitting resonant ring and the receiving resonant ring, which stay at the magnetic resonance state, can improve the transmission efficiency in the wireless power supply process.

The invention discloses an industrial control protocol grammar reverse analysis method under basic block granularity based on instrumentation, and the method specifically comprises the steps: carrying out the dynamic instrumentation of an instruction, a basic block and a function granularity of a binary executable program of an industrial control protocol; and recording taint propagation information of instruction granularity and basic block granularity, function granularity, logic judgment and jump information in a dynamic taint analysis process, and generating a program runtime log file. And performing reordering and correlation analysis algorithms on the log file to realize industrial control protocol field boundary recognition under the basic block granularity. Compared with a field boundary recognition method under the function granularity, the method has the advantages that more program context information under the basic block granularity can be obtained, so that different fields processed under the same function are recognized, and the field boundary recognition precision is improved.

The invention discloses an image classification method based on a noise reduction sparse automatic encoder and density space sampling. The image classification method based on a noise reduction sparseautomatic encoder and density space sampling includes the steps: constructing an image block training set; constructing a noise reduction sparse automatic encoder of single hidden layer, inputting the image block training set, and training the noise reduction sparse automatic encoder; performing density space sampling on each image in a training image data set and a test image data set; using thenoise reduction sparse automatic encoder to extract local characteristic set information from the space area obtained by performing density space sampling on each image; using two layers of laminatedFisher Vector to encode the characteristic set information, so as to obtain the final Fisher vector of each image; and training a classifier by means of the Fisher vector, so as to realize image classification. The image classification method based on a noise reduction sparse automatic encoder and density space sampling can accurately acquire the image information, can improve the classificationaccuracy of images, and can be used for construction of a large scale image classification and retrieval system.

The invention provides a detection method for rapidly detecting vibrio parahaemolyticus. According to the scheme, bacteria are enriched by Fe3O4 / Ru(bqy) 3<2+> microspheres, a test strip is prepared, and a sample is loaded for detection. The step of eluting the vibrio parahaemolyticus from immunomagnetic beads is eliminated, so that the capturing efficiency is improved; the step of spraying the Fe3O4 / Ru(bqy) 3<2+> microspheres onto a conjugate pad is eliminated, so that immunological reaction is more uniform, and a variation coefficient during quantitative detection is small; the workload and the sundry fungus contamination probability are reduced; the detection scheme is high in sensitivity and stability.