620results about How to "Address effectiveness" patented technology

The invention provides a deep convolutional neural network computing method applicable to hardware design implementation. The deep convolutional neural network computing method puts forward that a deep convolutional neural network computing structure is readjusted in advance through relevant adjustment parameters and breaks through the constraint that a computing window structure is fixed in a traditional convolutional neural network, so that data, involved in computation, in every computing layer can reach firstly, and computing parallelism in the deep convolutional neural network and streamlining among the computing layers are fully exploited to reduce storage of a great number of intermediate results effectively. The deep convolutional neural network computing method applicable to hardware design implementation has the advantages that a deep convolutional neural network computing structure adjusted by the method is more beneficial to implementation of efficient parallel streamlining in terms of special hardware design, and the problems of resource waste and effective computing delay due to various filling operations during computation are solved effectively, so that system power consumption can be reduced effectively and computing and processing speed can be increased greatly.

The invention discloses a dynamic bandwidth resource allocation method and system, which considers the differences of brandwith, time delay, priority level in different business, ensures the service quality of business, solves contradictions between the efficient use of brandwith and the service quality more efficiently, at the same time sloves the problem of the uniform DBA scheduling mechanism in diversified user terminal, and meets the service quality request of 'three nets in one'.

The invention relates to an on-site intelligent mobile information service system. The system utilizes the mobile terminals such as mobile phones and the sensing and short-distance communication technologies to obtain the identification of the each special mobile terminal of people in site or environmental units, the mobile Internet technology is utilized to transmitted the identifications to the telecommunication server of a website server; and the telecommunication server transmits the personal data and related information corresponding to the identifications back to the mobile terminals such as mobile phones through database retrieval, and the users of the mobile terminals can perform selective on-line communication or control to the people or devices in site according to the received data and information, thus effectively improving the efficiency and success rate of the social activities such as the production, operation, business and public relation of enterprises and personal marriage and friend-making.

The invention provides a lithium ion battery gel polymer electrolyte and a preparation method thereof. The lithium ion battery electrolyte is composed of a macromolecular polymer, an ionic liquid, an organic solvent, a lithium salt and a film-forming additive. Through preparation of the gel polymer electrolyte, the disadvantages of leakage, easy corrosion of electrode materials and the like can be eliminated. The high temperature performance of the electrolyte can be improved by using an ionic liquid. By adding the organic solvent, the viscosity of the ionic liquid is reduced and the conductivity is enhanced. And by adding the film-forming additive, the problem of poor compatibility between the ionic liquid and graphite or a lithium electrode material can be solved. Experiments prove that the lithium ion battery gel polymer electrolyte provided by the invention is an elastic self-supporting electrolyte membrane, which has ionic conductivity up to the 10<-3>S / cm magnitude order, good high temperature stability and safety, and has good compatibility with a lithium cathode or a graphite cathode material. Lithium ions can undergo effective lithium insertion and removal circulation, and can achieve high capacity when applied to lithium ion battery charge-discharge cycle.

The invention discloses halophilic and alkalophilic microorganism solid bacterial fertilizer of saline-alkaline habitat of desert and a preparation method and application thereof. The bacterial fertilizer comprises 100 weight parts of fermentation material, 1-3 weight parts of sulphur powder, 0.5-1.5 weight parts of zinc sulfate, and 0.5-1.5 weight parts of magnesium sulfate of which the water content is less than or equal to 20%, wherein the fermentation material is prepared by the following steps of: uniformly mixing and stacking 2-5% of drought desert halophilic and alkalophilic microorganism agent, 10-15% of water and 85-80% of organic material for fermentation, fermenting for 7-14 days when the fermentation temperature is 50-65 DEG C, and keeping for 10-20 days when the temperature of the fermentation stack is reduced to 45-55 DEG C. The halophilic and alkalophilic microorganism solid bacterial fertilizer of saline-alkaline habitat of desert disclosed by the invention can dissolve phosphate and nitrate in soil and release a great quantity of fixed phosphorus, potassium and trace elements stored in soil to improve the effectiveness of soil nutrients, and realizes nutrition supply and effective soil for permanent survival of the plant in the saline-alkaline habitat of desert.

The invention relates to a preparation method of a powder-metallurgy refrigeration compressor valve sheet. The preparation method is characterized by comprising the following steps of: mixing iron powder, high-alloy main powder, graphite powder, manganese sulfide powder and zinc stearate powder according to certain proportion, leading the weight percentage of all elements in the total components to be as follows: 0.5-2.0% of carbon, 3.0-6.5% of cobalt, 2.5-4.5% of chromium, 2.5-4.5% of molybdenum, 0.5-2.0% of nickel, 0.2-1.0% of vanadium, less than 3% of impurities and the balance of iron; using a mold to press and form the mixture to obtain a powder-metallurgy green blank; putting the green blank in a sintering furnace to sinter for more than 5 minutes with the sintering temperature being 1150-1250 DEG C; carrying out repressing and finishing on the sintered blank; carrying out quenching and annealing under the protective atmosphere; and carrying out grinding on the valve sheet. In the preparation method, the problems of the adding mode and effective alloying of the powder-metallurgy high alloy are solved, and higher forming density needed by the powder-metallurgy valve sheet material under higher alloy content is realized, so that the powder-metallurgy refrigeration compressor valve sheet achieves the needed wear resistance. The prepared powder-metallurgy refrigeration compressor valve sheet has the advantages of low material cost, high material utilization ratio and suitability for large-batch production.

The invention relates to the field of petroleum and gas geologic exploration and development, especially a method for recognizing the type of internal three-dimensional pores in shale and the quantitatively expressing the structure information of the internal three-dimensional pores in shale petroleum and gas exploration through FIB-SEM. The method comprises the steps: carrying out the high-precision three-dimensional imaging of inorganic substances, organic substances and pores in the shale at micrometer and nanometer scales through the FIB-SEM, and obtaining a three-dimensional FIB-SEM image; carrying out the alignment of all two-dimensional images of the three-dimensional FIB-SEM image, correcting the nonuniformity of the image brightness, and filtering the noise of the image; segmenting the preprocessed image into a pore region, an organic substance and an inorganic substance; marking all pores the pore region of the image, and dividing the pores into an organic pore, an inorganic pore and a boundary pore according to the distribution conditions of the organic and inorganic substances around the pores; analyzing all pores through a mathematic method, and obtaining the expression parameters of the three-dimensional pores.

The invention discloses a navigation realization method of the voice destination of a vehicle GPS and can realize an automatic navigation aim of a navigation system during driving the vehicle only through sending out a voice command by means of adding an exchanging system of names of places and a voice identification module to an original navigation system. The invention emancipates hands of drivers and greatly facilitates the operation of the drivers.

The invention relates to a system for reducing emission of oxynitride of combustion equipment. The system comprises the combustion equipment with a burner and a flue. A gas flow adjusting valve is installed on a pipeline connecting the burner with a gas source. The flue is internally provided with a sensor used for detecting the concentration of gas components. An air inlet of the burner is connected with an air outlet of an air mixer in series. The air mixer is provided with two air inlets, one of the air inlets is connected with a combustion-supporting air pipeline with an air volume adjusting valve, the other air inlet is connected with a smoke gas returning pipeline with a smoke gas returning flow adjusting valve, the other end of the smoke gas returning pipeline is connected with the position, between the combustion equipment and the sensor, of the flue, and an air blower, the air volume adjusting valve, the smoke gas returning flow adjusting valve and the gas flow adjusting valve are controlled by a low-nitrate controller. The invention further relates to a method for reducing emission of the oxynitride of the combustion equipment. The problem that combustion is not stable in the operation process of an existing smoke gas outer circulation system is solved.

The invention discloses a video monitoring system, which comprises a plurality of pieces of front-end monitoring equipment, a system server, a stream media server and a plurality of clients which are all connected via communication links, wherein each front-end monitoring equipment comprises a video stream generating module with a plurality of encoding forms, selects a corresponding encoding form for encoding according to an instruction of the system server and encapsulates the corresponding encoding form into a video stream for issuing. On the basis, the invention further discloses a video monitoring method, which comprises that: the plurality of encoding forms are preset in the front-end monitoring equipment; the front-end monitoring equipment selects the corresponding encoding form according to the instruction of the system server; and the front-end monitoring equipment performs encoding according to the selected encoding form and encapsulates the corresponding encoding form into the video stream for the issuing. Since the front-end monitoring equipment supports multi-code streams, the problem on interoperability between a network environment and different equipment can be solved, and an effective and available fused video monitoring system is implemented.

The invention discloses a gray generalized regression neural network-based small sample software reliability prediction method. The method comprises the following steps of: first, respectively emulating and expanding failure time data and test coverage rate data in collected small sample software reliability test data by using an improved Bootstrap method to form expanded reliability data which has the same failure statistical rule as small sample reliability data; then, obtaining a three-dimensional curve of the failure time, the test coverage rate and the unreliability of the expanded reliability data; next, establishing a gray generalized regression neural network; later on, training the gray generalized regression neural network by adopting the expanded reliability data and establishing a small sample software reliability prediction model; and finally, predicting by using the model to obtain software reliability prediction information. The method avoids solving a complex multivariate likelihood equation, and solves the problem that an available prediction model can be obtained only by training a large number of models in artificial neural network modeling in software reliability prediction.

The invention provides a method for co-producing white carbon black and calcium carbonate. Carbide slag or lime and quartz sand are used as main raw materials. The method comprises the following steps of: introducing sodium silicate solution into carbon dioxide to obtain a mixture of white carbon black and sodium carbonate or sodium bicarbonate, filtering the solution, adding lime or carbide slag into the solution, preparing caustic soda and ultra-fine calcium carbonate by causticizing reaction, adding the quartz sand into the filtered dilute alkali liquor, and reacting the mixture under a heating band pressure to obtain sodium silicate solution so as to realize circulation and co-production.

The invention discloses a scene reconstruction method based on a smart phone. The method comprises: 1) calculating the internal camera parameter matrix of the color camera of a smart phone; 2) connecting and fixing a depth camera with the smart phone; and calculating the internal camera parameter matrix and its zoom factor corresponding to the depth camera; 3) calculating the external parameter matrix of the color camera corresponding to the depth camera; 4) using the panorama videos of the scene photographed by the color camera of the smart phone and the depth camera; then, converting the videos into image sequences; and through the obtained external parameter matrix and the internal parameter matrix, combining the image sequences into an RGB-D four-channel sequence; 5) calculating the transform matrixes corresponding to the adjacent two frames in the RGB-D; and 6) through the RGB-D and the transform matrixes, creating the three-dimensional space point cloud sets for the scene and then, through the affine transformation, displaying the point cloud sets on the display screen of the smart phone. The invention can be portably carried and easily shaped.

The invention discloses a three-dimensional route planning method for power line inspection of a multi-rotor unmanned aerial vehicle. The method comprises the following steps: establishing a route drawing board; establishing an iron tower top view drawing board coordinate system; determining a horizontal longitude-latitude position of a waypoint (X, Y) and platform-lens orientation of the waypoint; determining height information H of the waypoint; carrying out task attribute configuration on the waypoint with determined three-dimensional position information, so as to obtain route data; and finally inputting the obtained route data into a map. By taking an iron tower as an object, the three-dimensional position information of the waypoint can be rapidly obtained through calculation, so that the problems that the planning of the three-dimensional route for the power line inspection cannot be effectively finished by virtue of a conventional ground station and is complicated and the like are solved. The three-dimensional route planning method is suitable for being popularized and applied in the technical field of unmanned aerial vehicles.

The invention mainly belongs to the technical field of petroleum geological exploration and specifically relates to an automatic identifying and quantitative analyzing method for organic and inorganic holes in a shale electron microscope image. According to the invention, a scanning electron microscope is utilized for scanning a shale sample and the shale electron microscope image containing organic matter, inorganic matter and holes is obtained. The shale electron microscope image is divided into a organic matter zone, an inorganic matter zone and a hole zone according to gray level. The number of the holes is obtained through communication analysis of the holes in the hole zone and the holes are marked. Then the holes are judged and divided into organic holes and inorganic holes. A problem that the effective classification and quantitative analysis of the holes cannot he realized in the prior art is solved and a foundation is provided for follow-up evaluation of shale oil and gas storage capability, existing states of oil and gas in the holes and migration mechanism and capability.

The invention relates to a vibratory stress relief apparatus for medium frequency and low frequency shaft type parts, and a use method thereof. The apparatus comprises a vibration exciter, a support block for clamping and supporting a workpiece, and a support mechanism connected with the support block. The support mechanism comprises a pair of support frames comprising a left support frame and a right support frame, and a support seat for installing the left support frame and the right support frame, wherein the left support frame and the right support frame right are arranged relatively. Thesupport block respectively forms rotatable connections with the left support frame of the support mechanism and the right support frame of the support mechanism. The apparatus further comprises a vibration exciter base for installing the vibration exciter, wherein the vibration exciter base is arranged on the middle portion of the workpiece, the vibration exciter, the vibration exciter base and the workpiece synchronously vibrate during vibratory stress relief. According to the present invention, a simply supported beam form is adopted, the flexural vibration type primary resonance is generated by the shaft type parts under the excitation of the vibration exciter at the natural frequency adopted for shaft flexural vibration; in the prior art, the dynamic stress generated by the apparatus does not reach the requirement of residual stress decreasing, with the apparatus provided by the present invention, the problem in the prior art is solved; the deformation amounts on both ends of the shaft are substantially improved; the dynamic stress distribution of the shaft is uniform so as to effectively reduce the residual stress of the shaft part.

The invention discloses a trap evaluation method for a heterogeneous thin sandstone interbed oil reservoir. The method comprises the steps of (a), carrying out stratum correlation and classification and sedimentation environment research through combination of well logging information, well drilling and logging information, coring information and seismic inversion data, and moreover, obtaining hydrocarbon source rock evolution data through utilization of geochemistry information; (b), obtaining reservoir characteristics through combination of the stratum correlation and classification, sedimentation environment research and the hydrocarbon source rock evolution data; (c), carrying out seismogeology comprehensive calibration, fracture explanation and growth period analysis, tectonic level tracking, tectonic evolution analysis and tectonic trap analysis in sequence according to seismic data; (d), carrying out hydrocarbon accumulation research through combination of the reservoir characteristics according to a tectonic evolution analysis result; and (e), carrying out final favorable trap evaluation. According to the method, the problem that in the prior art, later period reserve volume recalculation and exploratory well deployment work of a heterogeneous interbed old oil field are difficult to develop effectively is solved, and a purpose of providing a heterogeneous trap later period evaluation method for the old oil field is realized.

The invention relates to a box camera and ball head camera linkage-based road side parking detection system. A minimal detection unit of the system consists of a box camera and a ball head camera of which both have intelligent video analysis capability; the minimal detection unit is formed either via integration or combination of the box camera and the ball head camera; combination of the box camera and the ball head camera requires installation of an exchanger device which enables the two to access a network at the same time; the whole system consists of N minimal detection units; rods that are L meters in height are erected every X meters on a sidewalk of a side face of a roadside parking area; one minimal detection unit is installed on each rod. According to the system and the method, composite application of a plurality of intelligent video detection technologies such as vehicle movement detecting and tracking technologies, vehicle license plate recognition technologies, personneldetection technologies and the like is adopted; road side parking scenes, vehicle license plate information, vehicle characteristic information, conductor and driver information and parking timing information are bound together; timing and charging accuracy and reliability and charging basis validity can be improved; problems of non-transparent timing and charging, payment refusal and the like ina conventional solution can be effective solved.

The invention discloses a super-long-range radar and video linkage control system comprising a radar and a radar information processing system; a telephoto lens, a digital high-definition video camera and an all-round digital high-precision cloud terrace are arranged at the top part of an observation post; a video linkage control computer, a digital vector control keyboard and a monitor are arranged in a control room of the observation post; the system further comprises a monitoring center; and the components are connected through a network. The super-long-range radar and video linkage control system realizes the integration of optical and electronic observation means and the comprehensive use of information of the radar system, thereby solving the problems of lower search speed and poorer accuracy of the prior artificial optical observation and realizing the digitalization, the networking and the automation of the optical observation. The system can greatly improve target searching and tracking speed and precision, and reduce labor intensity of staff on duty.

The invention provides a magnetic liquid tooth space injection method of a magnetic liquid sealing device and belongs to the field of sealing of mechanical engineering, aiming at solving the problems that when an existing magnetic liquid sealing device is used, magnetic liquid cannot be easily, effectively and uniformly injected into the sealing device due to reasons including small sealing gaps, a property of responding a magnetic field by the magnetic liquid and the like. The method comprises the following steps: firstly, putting a shaft sleeve (12) with axis vertical to the ground, wherein an oblique direction of a pole tooth is upward; injecting magnetic liquid (11) into a tooth space; secondly, putting a sealing assembly with the axis vertical to the ground, wherein the oblique direction of the pole tooth is upward; injecting the magnetic liquid (11) into a pole shoe tooth space; finally, sleeving the shaft sleeve (12) filled with the magnetic liquid (11) into the sealing assembly filled with the magnetic liquid (11). The magnetic liquid tooth space injection method has the advantages that a gap between the shaft sleeve and a pole shoe pole tooth is small, the intensity of the magnetic field is great, a gap between the shaft sleeve and the pole shoe tooth space is large and the intensity of the magnetic field is small; the magnetic liquid stored in a pole shoe and a shaft sleeve tooth space is adsorbed into the gap between the pole teeth and a sealed magnetic liquid O-shaped ring is formed.

The invention provides a VSN event region detection method based on a D-S evidence theory. The method can be used for effectively detecting an event occurrence region under the condition that a priori knowledge is absent, highly mobile network topology is aimed at and complex changing road traffic scenes are handled with. The method comprises initialization and maintenance of VSN scenarios, a road division sub-cell event monitoring probability module, a road division sub-cell event occurrence probability module, an event occurrence confidence module, an evidence combination conflict computation module, an event region judgment module and an event detection trigger module.

The invention discloses a multi-view three-dimensional measurement system and method. The system comprises a projector, a peripheral camera, a beam splitting plate and a color camera; the peripheral camera adopts an inclined image plane structure to meet the depth-of-field requirement; the beam splitting plate is used for imaging of the color camera; and the color camera is used for restoring object color information. The calibration measurement method comprises the steps of establishing an inclined image surface imaging model for surrounding cameras, shooting a calibration plate by using thecameras, extracting coordinates of feature points, and obtaining internal and external parameters of the cameras by using a Zhang Zhengyou calibration method; calibrating internal and external parameters of the projector by adopting a pseudo-camera method principle; calibrating a relationship between each camera coordinate system and a projector coordinate system through a binocular three-dimensional calibration principle to realize system calibration; and realizing multi-view point cloud fusion by establishing a world coordinate system on the projector coordinate system. The system has the advantages of being high in measurement precision, high in speed, easy and convenient to operate and capable of conducting three-dimensional measurement on a high-reflectivity object.

The invention relates to a measurement method for alternating-current resistance of a cable conductor. The method comprises the following steps: applying large current to a conductor loop by adopting a voltage regulator and a straight-thought transformer; after the temperature of the conductor is stable by long-time current heating and temperature raising, synchronously measuring voltage and loop current in one section of the conductor and the surface temperature of the conductor; extracting amplitudes and phases of voltage and current signals by Fourier transformation, and calculating a phase difference between the voltage and the current; finally, calculating the alternating-current resistance of the conductor by adopting a formula. The method is high in measurement precision, good in stability, good in consistency of repeated measurement, simple in structure and convenient to measure, and is particularly suitable for measuring the alternating-current resistance of the cable conductor with a large section.

The invention relates to a data processing method, in particular to an intelligent classification method for complaint work orders from a customer service center. The method is implemented as follows:a synonym database and a stop word database are established; synonym definition is carried out based on information of accepted contents of work orders so as to solve problems of inconsistent description words for a same problems by clients in different areas in voice telephone traffic and the like; text segmentation is carried out; to be specific, text segmentation is carried out based on the established synonym database and stop word database and part-of-speech tagging is carried out on the segmentation vocabulary; word frequency statistics is carried out; to be specific, a client complaintperception information word cloud chart is formed and word frequency statistics is carried out to reflect the client complaint perception visually; and document work order theme extraction is carriedout. Therefore, a problem that the user perception can not be obtained effectively and accurately from electricity user complaint work orders and return-visit dissatisfaction work orders can be solved.

The invention discloses a pesticide composition containing fluensulfone and neonicotinoid insecticide. The composition contains effective components of the fluensulfone, the neonicotinoid insecticide and a common pesticide adjuvant, wherein the neonicotinoid insecticide is selected from one of dinotefuran, clothianidin, thiamethoxam, thiacloprid and imidacloprid; the weight ratio of the fluensulfone to the neonicotinoid insecticide in the composition is (40 to 1) to (1 to 40), the total weight percent of the fluensulfone and the neonicotinoid insecticide in the composition is 0.1-85%, and the balance is the adjuvant allowed for use and acceptable in a pesticide. The indoor and outdoor tests show that the pesticide composition has a remarkable synergistic effect, the prevention and control effects of the pesticide composition on underground insects and nematodes on crops are remarkably superior to those of a single pesticide, the pesticide consumption is reduced, the pesticide residues on the crops are reduced, the environmental pollution is alleviated, and the pesticide resistance of the insects is delayed.

The invention discloses a text recognition model training method, a text recognition method, device and equipment, and belongs to the technical field of image recognition, and the text recognition model training method comprises the steps: obtaining an image sample set, an image sample in the image sample set comprising a text image and a text label associated with the text image; performing sample expansion on the image sample set, and dividing the image sample set after sample expansion into a training set, a verification set and a test set; performing iterative training on a text recognition model according to the training set and the verification set, the text recognition model being constructed by replacing an original VGG network in a CRNN network model with an SE-ResNet network andsequentially cascading the SE-ResNet network with a BiLSTM network layer and an attention mechanism layer; and performing performance test on the text recognition model after iterative training according to the test set. According to the embodiment of the invention, the feature extraction capability of the text recognition model can be improved, and the feature vector decoding effect is improved,so that the text recognition accuracy is improved.

The invention discloses an electronic commerce recommending method based on a support vector machine (SVM). The method includes the steps that a user evaluation predication model based on the SVM is established, textual characteristics including semantics are extracted based on machine learning, evaluations are expressed as multi-dimensional characteristic vectors, the evaluations are classified, an SVM classifier divides the commodity evaluations into useful and useless categories, and the evaluations are automatically recognized; according to useful scores of the evaluations in the classifier, a user item matrix is filled by the adoption of a method of scoring predication through training samples according to the scores; according to importance of all items, corresponding vectors of a kernel function are endowed with corresponding weights, and meanwhile the weights of the corresponding vectors are corrected according to user process behaviors so that the purposes of improving predication precision and achieving an ideal recommending effect can be achieved. Statistics, machine learning, intelligent mode recognition and classification and other technologies are used for analyzing customer electronic commerce access behaviors and the commodity evaluations, commodities which a customer is interested in are predicated through the mode, a recommending result is generated and recommended to the customer, and the customer is helped to rapidly and accurately find out commodities really needed in time.

An MT29F series NAND FLASH test aging system with a customizable process comprises an upper computer, a program control power source, a high temperature test box, a USB-to-UART bridge, and a lower computer. The lower computer comprises N motherboards with a same structure, M signal boards with a same structure, and K DUT boards with a same structure. Multiple signal boards are mounted on each motherboard in the lower computer, and one DUT board is mounted on each signal board. The motherboard comprises a power source interface, a UART interface, multiple connectors docking with the signal board, and multiple signal board identity setting circuit docking with the signal board. The signal board comprises an FPGA used as a test controller and an auxiliary circuit thereof, and also comprises a connector docking with the motherboard and a connector docking with the DUT board. The DUT board comprises multiple high-temperature resistant test clippers and a connector docking with the signal board.

The invention discloses a UHVDC near zone multi-level grid coordinated automatic voltage control method and a UHVDC near zone multi-level grid coordinated automatic voltage control system. The UHVDC near zone multi-level grid coordinated automatic voltage control method has the beneficial effects of classifying a UHV converter station, a 500 / 750 kV transformer substation electrically and closely connected with the UHV converter station, and a power plant connected between the converter station and the transformer substation as reactive power resources in a UHVDC near zone grid overall plan region, performing multi-level grid coordinated automatic voltage control according to a fixed cycle, making overall plans for, coordinating and controlling different types of reactive power resources including a phase modifier and the like in the UHV converter station and belonging to power grids of different levels originally, and making overall plans for, coordinating and controlling different types of reactive power resources belonging to a provincial power grid. The UHVDC near zone multi-level grid coordinated automatic voltage control method and the UHVDC near zone multi-level grid coordinated automatic voltage control system solve the problem that the reactive power resources of the UHV converter station cannot effectively participate in AVC control of the power grid, reduce the complexity of UHVDC near zone multi-level grid coordinated control, and realize the AVC control with various types of coordinated reactive power resources including the phase modifier.