585results about How to "Avoid dependency" patented technology

The invention relates to one digital mobile communication technique suitable for one transmission base station monitor method and system based on wireless mobile terminal, which uses GSM communication network short message channel to sort monitor data and to transmit on focus degree, wherein, the alarm information and inquire information send by real time and the operation information without alarm sends method and process technique to form alarm guide base station monitor system by network monitor center, base station and other human cell phone network.

The invention discloses an intelligent card and a card writing method, equipment and a system thereof, relating to the field of intelligent cards, and aiming to enhance the information safety in the card writing process of the intelligent card. The card writing method of the intelligent card comprises the following steps: analyzing the card information of the intelligent card according to an acquired mark of the intelligent card; acquiring an encryption key matching with the intelligent card according to the card information; encrypting the acquired card writing data of the intelligent card to a cipher text through the encryption key; and transmitting the cipher text so that the intelligent card deciphers the cipher text to a plain text through the encryption key for card writing operation. The invention is applied to the card writing operation of the intelligent card.

The invention discloses a thermo-sensitive discoloration material microcapsule and a preparation method thereof. The microcapsule is composed of a core material and a wall material for covering the core material, wherein the core material comprises a thermo-sensitive discoloration compound composed of a chromogenic reagent, a color-developing agent and a solvent; the wall material is a melamine resin pre-polymer; the mass ratio of the thermo-sensitive discoloration compound to the melamine resin pre-polymer is 1:(1-2). The preparation method comprises the following steps of: mixing the chromogenic reagent, the color-developing agent and the solvent to form a thermo-sensitive discoloration solution under the heating condition; adding an emulsifying agent solution into the thermo-sensitive discoloration solution and emulsifying a commixed solution to obtain an emulsion; adjusting the pH value to 3-6 and adding the melamine resin pre-polymer into the emulsion; reacting at a temperature for 60-70 DEG C for 1-1.5 hours and then cooling to 30-40 DEG C; then adding a dispersant; and washing and drying to obtain the thermo-sensitive discoloration microcapsule. According to the method provided by the invention, the influences on human bodies and environments are greatly reduced; the operation is simple, the prepared microcapsule products can fast change color and fade and the effect is obvious, so that the thermo-sensitive discoloration material microcapsule can be widely applied in the fields of anti-counterfeiting textile and printing and the like.

The invention discloses a two-dimensional code based block chain logistics source-tracing tracking and anti-counterfeiting method. The method takes a source-tracing tracking and anti-counterfeiting system as a basis. The source-tracing tracking and anti-counterfeiting system comprises a block chain background system capable of being publicly authenticated, a block chain gateway system, a mobile intelligent reading and writing terminal, a cache database and two-dimensional code anti-counterfeiting label. The method comprises the steps of (1) generating a two-dimensional code anti-counterfeiting label; (2) initializing the anti-counterfeiting label; (3) activating by a manufacturer; (4) adding information by an intermediate merchant; and finally (5) performing verification by a user, wherein the two-dimensional code becomes invalid after the user verifies the authenticity. The method disclosed by the invention can solve problems of trust dependence of the user for each node, trust dependence of the user for a third-party, dependence of the user for technologies, trust dependence of the user for an anti-counterfeiting identifier and trust object dislocation in each link of product logistics, is low in entry threshold and can greatly improve the anti-counterfeiting safety and reliability.

The invention discloses a block chain logistic source tracking anti-fake method based on NFC (Near Field Communication). The method is based on a source tracking anti-fake system and comprises a publicly verifiable block chain background system, a block chain gateway system, a mobile intelligent read-write terminal, a cash databank and an NFC (IC) (Integrated Circuit) or internal NFC (IC) anti-fake label. The method comprises the following steps: generating an anti-fake label; initializing the anti-fake label; activating by a producer; adding information by a middleman; and verifying by a final user; after the anti-fake label is scanned at the read-write terminal each time, substituting a hidden password on an NFC chip and a corresponding visible password in a block chain by newly generated hidden passwords and visible passwords, and disabling the used hidden password and the visible password. By adopting the method, problems of trust dependence of users upon nodes in different product logistic procedures, trust dependence upon a third party, dependence upon techniques, trust dependence upon anti-fake labels and trust target deviation are solved, the introduction threshold is low, and the anti-fake security and reliability can be greatly improved.

The invention relates to a rapid imaging detection method for gear appearance defects. The rapid imaging detection method comprises two stages including a pre-processing stage and an online detection stage. The pre-processing stage comprises three procedures including automatically setting a target region, generating a coarse detection template and generating a fine detection template. The online detection stage comprises the steps of: J1) acquiring an image; J2) preprocessing and extracting features; J3) carrying out area difference value calculation on the image to be detected and an image of the coarse detection template for coarse detection judgment; J4) registering the image to be detected and an image of the fine detection template so that gear tooth directions of the two images are coincided; J5) and carrying out exclusive-or operation on the image to be detected and the image of the fine detection template to obtain a differential image, and acquiring defect region area in the differential image for fine detection judgment. The rapid imaging detection method for gear appearance defects acquires images by utilizing machine vision, performs coarse and fine judgment by utilizing template matching and image exclusive-or operation, and is high in detection precision and fast in speed.

The invention is suitable for the technical field of computers, and provides a system micro-servitization method and terminal equipment. The method comprises the following steps of: receiving a targetmicro-service access request sent by a consumer; searching a configuration file of a target micro-service in a central server according to the target micro-service access request; if the configuration file is searched, reading file parameters of the searched configuration file and accessing the target micro-service according to the read file parameters; if the target micro-service is not responded or wrongly responded, accessing a standby micro-service, and carrying out statistical analysis on a non-response or wrong response frequency of the target micro-service; and if the frequency exceedsa preset frequency threshold value, starting fuse protection. According to the method, target micro-services are replaced by accessed standby micro-services, so that the system complexity can be reduced, the coupling degree between different function modules can be decreased, and resource conflicts between application service system modules can be solved; and single services are modified withoutdeploying the whole system, so that the problem that the modification process of single services is tedious and complex is solved.

The invention provides a self-selection restaurant automatic charging method based on computer vision technology. The system comprises a dinner plate sensing module, a dish division module and a dish identification module functionally. The dinner plate sensing module adopts an infrared sensing and static detection cascaded method, thereby ensuring high definition of pictures while realizing fast acquisition; the dish division module adopts an area generation network, thereby ensuring interference resistance for sheltering situations while realizing accurate positioning and segmentation; and the dish identification module adopts a depth twin measurement network, thereby overcoming dependence of a conventional deep learning method on the number of training samples. The system can directly identify dishes based on the images, so that when the system is applied to the restaurant, bowls and dishes do not need to be replaced, and the system is convenient to deploy and low in cost. The method can collect detailed and specific pictures and consumption information and the like, can provide sale analysis for the restaurant and diet health analysis for clients, and is an important link for realizing smart restaurant based on big data.

The invention provides an indoor positioning method. The indoor positioning method comprises the following steps: firstly collecting initial positioning information of a target object, wherein the initial positioning information includes an arbitrary number of surrounding WiFi hotspot information, surrounding Bluetooth equipment information, geomagnetic information, atmospheric pressure information and TC-OFDM multimode sensing signals; then selecting a corresponding initial positioning method according to the collected initial positioning information and a preset screening strategy; carrying out initial positioning by virtue of the initial positioning method, so as to obtain an initial positioning result of the target object; besides, collecting inertial navigation data generated during the indoor walking of the target object; and finally positioning and tracking the target object by virtue of a preset positioning-tracking method according to the initial positioning result and the inertial navigation data, so as to obtain real-time positioning information of the target object. By virtue of the indoor positioning method, the indoor positioning is realized by combining the initial positioning method with the positioning-tracking method, the compatibility is strong, the application range is wide, a large number of network nodes do not need to be distributed, the positioning is accurate, and the cost is relatively low.

The invention discloses a fault diagnosis method based on local mean decomposition (LMD), singular value decomposition (SVD) and an extreme learning machine (ELM), and aims to increase the accuracy of bearing fault diagnosis under a variable condition. The method comprises the following steps: firstly, decomposing a nonlinear and unstable original vibration signal into a series of product functions (PFs) by adopting an efficient adaptive signal processing method LMD, wherein each PF component is a product of an envelope signal and a pure frequency modulated signal having physical meaning; secondly, processing the PF components by adopting the SVD to compress a feature vector scale and obtain a more stable feature vector value; lastly, classifying a bearing fault state by applying the ELM having higher application computation efficiency and higher classification accuracy based on an extracted feature vector. By adopting the fault diagnosis method based on LMD-SVD-ELM, a set of complete and valid variable-condition fault diagnosis scheme is provided for a bearing. The method has a very good practical engineering application value.

The invention discloses a rapid fingerprint identification method based on image characteristics and minutia characteristics. The method comprises the following steps: firstly, detecting a reference point and determining a direction thereof, and determining the reference direction of the reference point by observing the difference between the fingerprint direction and the radial direction in sector regions with different sizes; carrying out image characteristic extraction, performing feature selection after normalization, and finally, obtaining the characteristic vector of the fingerprint image; establishing a minutia template and transforming the obtained minutiae under a polar coordinate system to establish a fingerprint minutia template; and carrying out the characteristic matching, i.e. as for the input fingerprints to be compared, judging whether the two fingerprints are matched or nor by using the fingerprint image characteristics and the minutia template obtained from the three steps. The invention not only can effectively inhibit the influence generated during the fingerprint image translation and the rotation, but also avoids the dependence to the detected reference point and the direction thereof in the recognition process and can also rapidly and accurately judge whether the fingerprint to be identified is matched with the template fingerprint or not.

The invention discloses an automatic license plate identification method based on a deep convolutional neural network. The automatic license plate identification method comprises the steps of: firstly, designing a network structure and an input format of the neural network; adopting random affine transformation to synthesize a training sample, synthesizing a real scene picture and a grey-scale image license plate, adding noise to simulate and generate a large number of license plate images in a real scene; subjecting the neural network to back-propagation training, and training the neural network by adopting a supervised back-propagation algorithm; conducting sliding window searching, positioning a license plate through sliding a window, segmenting a picture and converting the picture into grey-scale images, and standardizing the grey-scale images to the standard input format. The automatic license plate identification method can effectively handle the influence on identification caused by image translation and rotation, can avoid the dependence on the specific environment and font in the identification process, is simple in algorithm implementation and high in robustness, and is easy to transplant.

The invention discloses a method, a device and a system for processing sensor protocol information. The method comprises the following steps that: a platform of Internet of things receives initial data from a terminal of Internet of things, and determines a protocol type of a sensor performing information interaction with the terminal of Internet of things and a protocol resolving procedure corresponding to the protocol type, wherein the initial data is metadata encapsulated by a protocol of the sensor; the platform of Internet of things extracts the metadata from the initial data by using the protocol resolving procedure, and sends the extracted metadata to a corresponding application system; or the platform of Internet of things sends the protocol resolving procedure to the terminal of Internet of things, receives the metadata extracted from the initial data by the terminal of Internet of things according to the protocol resolving procedure, and sends the metadata to the corresponding application system. According to the invention, the application system can support various sensor protocols.

A process for synthesizing silicon nitride powder by atmospheric pressure combustion includes such steps as proportionally mixing Si powder with catalyst, adding silicon nitride for activating and combustion reaction. Its main product is Si3N4.

The invention relates to a computational simulation method of a flow slide catastrophe of a rock and soil material, belonging to the technical fields of computational rock and soil mechanics, geologic hazard prevention and control and geologic environment protection. Aiming at the limitation that the conventional grid-based computing method is only suitable for small-deformation analysis, the invention discloses a computational simulation method of an entire flow slide catastrophe process of the rock and soil material based on smoothed particle hydrodynamics (SPH). According to the method, a Navier-strokes equation is used as a control equation, solid phase and liquid phase of the rock and soil material are described by using a sub-load face Cambridge model and an incompressible fluid constitutive model respectively, porous medium theory and darcy law are introduced to calculate solid-liquid coupling acting force, and a computation model, which considers the full coupling of water and soil, of the flow slide catastrophe of the rock and soil material, is established. According to the computational simulation method, the entire process of large-deformation flow damage of the rock and soil material can be effectively represented, and the fluidization characteristic of the rock and soil material is captured, so that powerful scientific basis is provided for engineering design, engineering construction, disaster prevention and reduction and the like of high-risk areas of the flow slide disaster, and meanwhile, application of the computational rock and soil mechanics in the technical fields of actual engineering construction, geologic hazard prevention and control and the like is forcefully promoted.

A process for continuously synthesizing silicon nitride powder under ordinary pressure by fluidized bed includes such steps as using N2 to carry the Si powder or the mixture of Si powder and silicon nitride in high-speed fluidized bed, fluidizing, fast leaving from the high-speed fluidized bed, coming in high-temp nitrifying furnace, combustion for synthetic reaction, cooling by heat exchanger, and collecting the product by bag capture.

The invention provides a target object tracking method based on color-structure features. The method includes the steps that object detection is conducted on video images, and at least one object in the current image is acquired; super-pixel segmentation is conducted on the object according to pixel color information; according to super-pixels meeting preset conditions in the object, the color feature and the structure feature of the object are determined; the color feature and the structure feature of the object are compared and matched with the color structure and the structure color of an object to be tracked in an object model database, a target object to be tracked in the image is determined, and the position information of the target object in the current image of a video is recorded; in a next image of the video, the steps are repeated, the color structure and the structure feature of a target object are compared and matched with the color feature and the structure feature of the target object in the former image of the video, the target object to be tracked in the image is determined, and the position information of the target object is updated. By means of the method, the accuracy and the robustness of single-texture target tracking through a video tracking algorithm are effectively enhanced.

The invention discloses a method for obtaining dynamic password based on PKI-SIM card. The method includes: PKI-SIM card judges OPT service whether open or not according with appointed disposable dynamic password, if not open, OPT service is customed to system, PKI-SIM card gives PKI-SIM card mark and secret key from itself to SP background server in course of customing OTP service; after the OPT service opened, PKI-SIM card generates dynamic password by using PKI-SIM card mark and secret key. The invention can avoid many limitations caused by traditional token card technique because of time synchronization by using date synchronization method of PKI-SIM card and SP background server.

The invention discloses a surrounding rock deformation early-warning construction method for small-diameter tunnel full-section excavation. The surrounding rock deformation early-warning construction method for small-diameter tunnel full-section excavation comprises the following steps of (1) carrying out the earlier-stage geological survey and rock core sampling, finding out the position and the trend of a joint fissure of the terrane, determining parameters of surrounding rock through soil tests, classifying the surrounding rock and summarizing the types of the surrounding rock to form a list, and determining the design of the multipoint displacement meter installation scheme according to the results of the geological survey; (2) carrying out tunnel excavation and installation of multipoint displacement meters; (3) carrying out the middle-stage geological survey; (4) recording the installation time of the multipoint displacement meters; (5) determining a surrounding rock deformation early-warning value; (6) carrying out observation recording on data of the multipoint displacement meters, and determining remediation treatment measures of the dangerous section.

The invention relates to a voice converting system and method using blind voice separation. The voice converting method comprises the steps of: applying a blind voice separation method which combines sub-band decomposition with ICA (Independent Component Analysis) in a voice input module at the front end of the voice converting system to separate a mixed signal including background noise and expected voice, and converting the expected voice obtained through separation and subjected to an unequal-length framing process to realize conversion of specific voice of people in a noise environment.

The invention discloses a no glue bonding middle or high-density fiberboard preparation method, its process steps are: (1) preparing dissolvant; (2)collecting and processing plant fiber materials; (3) feeding materials; (4) reaction; (5) solvent recovery; (6) beating and separating hemi-cellulose; (7) activating lignin; (8) render hydrophobic; (9) blank plate pavement; (10) hot (or cold) pressure molding. The advantages are: (1) the problem of free formaldehyde releasing in middle fiber plate is completely resolved; (2) so the herbaceous plant fiber has same economic value with woody plant and is used in the production of middle or high-density fiberboard fully; (3) the plant fiber materials are used fully, it basically has not the waste emissions problems.

The invention discloses a generation method of convolutional neural networks for conducting expression recognition on the human face in an image, an expression recognition method, calculation equipment and a mobile terminal. The generation method of the convolutional neural network comprises the steps that the first convolutional neural network is established, wherein the first convolutional neural network comprises a first number of processing modules, a first overall average pooling layer and a first classifier which are connected in sequence; according to a pre-acquired facial image data set, the first convolutional neural network is trained, and the first classifier outputs and indicates an expression corresponding to the human face conveniently, wherein the facial image data set comprises multiple pieces of facial image information; the second convolutional neural network is established, wherein the second convolutional neural network comprises a second number of processing modules, a second overall average pooling layer and a second classifier which are connected in sequence; according to the facial image data set, the trained first convolutional neural network and second convolutional neural network are subjected to joint training, and the second classifier outputs and indicates the expression corresponding to the human face conveniently.

The invention discloses an intelligent card and a card writing method, equipment and a system thereof, relating to the field of intelligent cards, and aiming to enhance the information safety in the card writing process of the intelligent card. The card writing method of the intelligent card comprises the following steps: analyzing the card information of the intelligent card according to an acquired mark of the intelligent card; acquiring an encryption key matching with the intelligent card according to the card information; encrypting the acquired card writing data of the intelligent card toa cipher text through the encryption key; and transmitting the cipher text so that the intelligent card deciphers the cipher text to a plain text through the encryption key for card writing operation. The invention is applied to the card writing operation of the intelligent card.

The invention discloses a topological optimization design method of a self-supporting structure for additive manufacturing, and belongs to the related technical field of structure optimization design.The method comprises steps of calculating and constraining a suspension angle alpha through a four-unit method; and obtaining the suspension structure of the self-supporting structure in additive manufacturing by combining suspension angle constraint and SIMP method. The suspension structure needing to be supported can be effectively restrained, adding of the supporting structure is avoided, theusing amount and cost of consumables are effectively reduced, and the surface quality of a workpiece is improved; in addition, the calculation method is completely suitable for a continuum structure,high in flexibility, wide in application range, extremely easy to be implanted into a topological optimization framework as an extension module, and simple and feasible.

The invention discloses a power transmission line unmanned aerial vehicle autonomous inspection system. The system comprises ground station equipment, an unmanned aerial vehicle and an unmanned aerialvehicle positioning module, an autonomous inspection task is sent to the unmanned aerial vehicle through the ground station equipment, a flight control module of the unmanned aerial vehicle autonomously controls the unmanned aerial vehicle to execute the inspection task, and collected inspection data is sent to the ground station equipment to be stored. According to the invention, manual intervention can be reduced; the unmanned aerial vehicle can automatically collect and store the inspection data, reduce dependence of the unmanned aerial vehicle on people in the power transmission line inspection application, avoid instability caused by other factors such as operation habits and physical conditions of operators, realize automation of the unmanned aerial vehicle in the power transmissionline inspection application, reduce labor cost, and improve consistency and reliability of the inspection data; the two sets of unmanned aerial vehicle positioning modules are used for positioning the unmanned aerial vehicle, so that the position acquisition stability of the unmanned aerial vehicle is ensured.

The invention discloses a multi-body separation grid overlapping method and system suitable for parallel processing. The method comprises the steps of refining surface elements of surfaces of grid blocks; marking edge units of the grid blocks; storing the edge units in a classified manner; according to the stored edge units, judging whether the grid blocks of different objects have an overlappingposition relationship or not; and performing holing and hole boundary backtracing for the grid blocks, with the overlapping position relationship, of the different objects, and performing contributionunit search for an overlapping boundary, thereby realizing multi-body separation grid overlapping of the parallel processing. The surfaces of the grid blocks are subjected to geometric approximationby utilizing Cartesian bounding boxes, and through position identification of the Cartesian bounding boxes of the surfaces of the grid blocks of the different objects, whether the grid blocks are overlapping or not is quickly judged. In parallel calculation, only the grid blocks with the overlapping position relationship are subjected to overlapping operation, so that frequent call of a global grid is avoided and the difficult problems of high memory demand and low calculation efficiency of a large overlapping grid are solved.

The method includes following steps: a) the testing front stage uses preset reference sound file to generate sound data; the sound data is sent to mobile terminal, and is fed back to the testing front stage from mobile terminal via loop back; b) the testing front stage makes separation and extraction for the received feedback sound data to form degrading sound data file; c) with the reference sound file and the degrading sound file, estimation and calculation is made for the sound quality to acquire the quality of sound loaded by tested system. The invention also discloses a device for testing sound quality consists of operating unit, front and back stage communication unit, data generating unit, sendreceive control unit, reception extracting unit, and estimation and calculation unit.

The invention provides a non-linear model prediction control method for a double planetary gear row type hybrid electric vehicle. According to the method, based on the predicted rotation speed of the finished vehicle and the torque requirement, optimization solution is conducted on an objective function during the prediction time interval through a non-linear optimization algorithm, the optimal control sequence of controlled quantities is obtained, and the required torques of a power system engine, a motor, a power generator and a brake system are determined by combining the first controlled quantity of the control sequence with kinetic equations of the double planetary gear row type hybrid electric vehicle in various modes. According to the characteristic that the number of working modes of the double planetary gear row type hybrid electric vehicle is large, control prediction and optimization are achieved through a non-linear model, the combination and disconnection states of all clutches and braking force in a power coupling mechanism can be effectively controlled, optimization of the different working modes and optimal energy distribution among different power components are achieved, and the advantage that the number of the working modes of the double planetary gear row type hybrid electric vehicle is large is brought into full play.

The invention provides an entropy coding structure and a realization method, which belong to the technical field of digital video coding and decoding. In the invention, the whole entropy coder is divided into two stages of assembly line structures, and the generation and coding of macro block header parameters are finished in different assembly line stages, so waiting time is avoided, and simultaneously, coding time is rationally distributed. A single-path assembly line hardware structure is adopted in each stage of assembly line, and compared with the conventional multipath parallel structure, the plurality of stages of assembly line structures adopted by the whole variable length coding module finish the operations of one stage only within 1 hour, and the entropy coder provided by the invention can finish once variable length coding in 1 hour; and simultaneously, sequentially coded macro block header information and residual coefficients multiplex a set of Columbus coding and code stream splicing device, so hardware cost is saved, and resource utilization rate is increased. In addition, unified laying-out is performed on a variable length coding (VLC) code table used by the variable length coding, and the using number of random access memories (RAM) is reduced.