206results about How to "High transplantability" patented technology

A process for extracting hemopoietic stem cells from the placenta of healthy puerperant to create hemopoistic stem cell bank features that the mechanical, enzyme digestive and monoclonal antibody-magnetic bead method is used to extract blood stem cells from placenta, and concentrate and purify them. Its advantages are high activity and high concentration.

The invention relates to an urban intersection traffic signal control method, relates to a multi-phase-jump and vehicle full-dynamic induction traffic control method, and aims to flexibly control traffic signals at intersections by using a traffic signal instrument so as to improve the traffic pass property of vehicles at the intersections and reduce the total delay time of vehicles. The method comprises the following steps: 1) setting an upstream vehicle detector and a parking line vehicle detector at each lane of a traffic intersection, and detecting dissipating vehicle and information of vehicles entering the intersection in real time; 2) according to the numbers of vehicles waiting in different lanes and vehicles running into the intersections, automatically transmitting passing signals to busy lanes by using a busy lane priority pass method through a traffic signal instrument control system so as to induce the vehicles in the lanes to pass prior; 3) by using a method that compatible lanes adopt one same phase and non-compatible lanes are subjected to phase-jump induction control, providing the priority pass right for lanes with a plenty of waiting vehicles or a lane into which a plenty of vehicles run. Due to the adoption of the method, a relatively good induction effect can be achieved at intersections with unsaturated traffic vehicles.

The invention relates to the field of data acquisition and processing, in particular to a multichannel data acquisition instrument based on time synchronization. In order to solve the problems in the prior art, the multichannel data acquisition instrument based on time synchronization is provided. The multichannel data acquisition instrument is used for data acquisition after being subjected to time correction through a VCO adjusting module, an FPGA and a processor are in parallel connection to conduct data transmission, data collected by a sensor are stored in a memory, data of a data storage chip are read to conduct subsequent data processing, or data interaction is conducted through an internet access and an upper computer, and upper computer data processing is conducted. According to the multichannel data acquisition instrument based on time synchronization, the processor, an FPGA control circuit, an analog-digital conversion and conditioning circuit and a sensor circuit are in mutual connection, and the design of the multichannel data acquisition instrument is achieved. The data acquisition instrument based on time synchronization is applied to the field of high-speed data acquisition.

The invention discloses a method for constructing a database based on a virtual machine management system. The method comprises the following steps of: S1, establishing a data table according to construction parameters of a data table which are inputted by a user; S2, determining that a field restrained by a foreign key exists in the data tables by taking a virtual machine mapping table and a virtual machine example table as main tables, and giving out a referenced field of the field in the main tables; S3, building an index for the referencing field and the referenced field; and S4, repeatedly executing the steps S1-S3 to build all data tables to finish the construction of the database. The method for constructing the database enhances expansibility, portability and compatibility of a virtual machine management and scheduling system, improves the reusability of construction codes of the database and reduces the complexity of the development of private cloud platform.

The invention discloses an Android-based method and system for constructing an image rendering engine. The method comprises the steps of creating a local window object, transmitting image data of the local window object to a corresponding bottom-layer interface, and establishing connection between the local window object and a rendering thread; after the image data in data threads except for the rendering thread are transmitted to an appointed resource storage space, starting the rendering thread to conduct image rendering on the image data in the resource storage space, and generating rendering data; obtaining the rendering data in real time to display the rendering data, destroying the local window object after the rendering is completed, and finishing the rendering thread. According to the Android-based method and system for constructing the image rendering engine, the problem that operating efficiency of a rendering thread of a mobile device is low is solved.

The invention relates to an on-line shopping distribution station management system. The system comprises a central monitoring system and a distribution system; the central monitoring system consists of a service program running on a server and a central database, and can monitor the running state of the management system and the goods distribution condition in real time; the distribution system comprises a distribution station and an authentication machine arranged at the distribution station; and the authentication machine has identification and data transmission functions. The system is convenient, fast and quick for taking goods; idle resources of the conventional sites of community merchants or properties are fully integrated, and the problem of high cost in last mile distribution in the on-line shopping logistic distribution process is effectively solved; and the system becomes a logistic distribution system with high reproducibility, high portability and quick deployment.

The invention relates to a sensor test system and method. The test system comprises a ground power supply module, a sensor module, a data collecting module, a parameter setting module, a sampling rate determining module, a demand determining module, a test module and an output and storage module. The sensor test method includes the steps that the parameter setting module conducts initial setting, test demands are determined, and a voltage signal output by the whole sensor module is collected; the collected voltage signal is input into the test module for testing, and test results are finally analyzed. By means of the sensor test system and method, the no-less-than-250-circuit sensor output voltage is measured, the single-sensor working performance is detected, the requirements that the system test circuit number can be increased and is easily increased can be met, and the test efficiency is high.

The invention provides a fast calculation method of target electromagnetic scattering characteristics. The fast calculation method comprises the following steps: carrying out overall subdivision on an established geometric profile non-conformal grid model, selecting induced electromagnetic flow on an analog target surface of an electromagnetic basis function on a target subdivision grid, constructing impedance matrix elements by using a discontinuous Galerkin integral equation and boundary conditions, grouping the targets by using a tree block grouping strategy, accelerating a matrix-vector multiplication speed by using an adaptive cross approximation algorithm, iteratively calculating an electromagnetic flow inductance coefficient on the target surface under an irradiation source by using a generalized minimal residual method, calculating a radiation field of induced electromagnetic flow on the target surface, and obtaining secondary scattering field characteristic data. The fast calculation method provided by the invention has the advantages of strong adaptability and high calculation precision, greatly expands the calculation efficiency and the calculation ability of the integral equation, reduces the subdivision difficulty, and is easy for engineering.

The invention discloses an intelligent household wireless ad-hoc network communication system. The intelligent household wireless ad-hoc networking communication system comprises a host connected with intelligent equipment and a plurality of slave computers connected with household electrical appliances, wherein the host comprises a host interface, a host control module and a host data transmission module, and each slave computer comprises a slave computer control module, a slave computer route module, a slave data transmission module and a slave computer interface. The invention further discloses an intelligent household wireless ad-hoc network networking method. The host is adopted for actively connecting the slave computers into a network, the slave computers actively apply for networking, and the slave computers are networked according to a priority selection mode. The invention also discloses a working method of networked slave computers in an intelligent household wireless ad-hoc network. After the slave computers are networked, the slave computers perform corresponding operation according to host commands for themselves and can also serve as routers for forwarding data from the host or other slave computers. According to the invention, the networking operation is simple, the equipment can be automatically connected to a local area network once the equipment is powered on, and the problem that equipment of different brands fails to communicate normally due to incompatibility is solved.

The invention relates to a testing system for a micro-inertial measurement unit, belonging to the technical field of test calibration of the micro-inertial measurement unit. According to the testing system, the micro-inertial measurement unit to be tested is arranged on a three-axle turntable; the turntable is controlled to rotate according to the test requirement by a turntable control device; an input end of an industrial personal computer is connected with the micro-inertial measurement unit arranged on the three-axle turntable by a test interface; the industrial personal computer is used for measuring and calibrating the performance parameters of the micro-inertial measurement unit by a LabView microsoftware platform; the acquired data is directly stored in a folder by the LabView platform; the data is directly read from the LabView microsoftware platform, and is calculated and processed; the testing system is high in operation efficiency; modularization is realized by the LabView microsoftware platform, so that the testing system is convenient, fast and high in portability.

The invention provides a method for transforming a switch special language into C language. In the method, a preprocessing module, a symbol list unit, a transformation processing module, an annotation preprocessing module and an annotation processing module are provided, wherein the preprocessing module comprises an LEX lexical analyzer and a Yet Another Compiler-Compiler (YACC) analysis program generator; the annotation preprocessing module comprises an LEX lexical analyzer and a YACC analysis program generator; the annotation preprocessing module comprises an LEX lexical analyzer, wherein source codes of the switch special language are imported into the preprocessing module and the annotation preprocessing module to be processed and then sentences and annotation contents which produce a global symbol table and a syntax tree format are obtained; and then final C language codes with the annotations are generated through the transformation processing module and the annotation preprocessing module. The method realizes the transformation of the switch special language into the C language, and the C language is provided with the annotations and is highly readable.

The invention discloses a distributed optical fiber sensing signal space-time information extraction and identification method, and belongs to the technical field of optical cable safety monitoring. Adistributed optical fiber vibration sensing system is used for collecting vibration signals along a communication optical cable, time-space signal samples near a vibration source are labeled with event type labels, and a typical event database is established; a CNN-BiLSTM deep learning model based on the space-time signal structure is constructed; time structure information of each spatial pointsignal of the spatio-temporal signal is mined by using a CNN network, correlation of each spatial point signal in the spatio-temporal signal is mined by using a bidirectional long-short-term memory model, and the model is trained based on a typical event database to obtain an optimal model; and finally, the spatio-temporal signal of the event to be detected is identified by using the optimal model. According to the method, the CNN-BiLSTM deep learning model is utilized to synchronously extract the time structure information and spatial distribution characteristics of the distributed optical fiber vibration sensing time-space signals and perform identification, and the effect of the method is superior to that of a signal identification method which mainly extracts the signal time characteristics in the field.

The invention discloses a method for rapidly calculating electromagnetic scattering characteristics of electrically large targets. The method comprises the following steps of: completing coupling areas of different facets under excitation of an incident electromagnetic field by utilizing ray tracking; filling an impedance matrix in nearby sub-areas and of the coupling areas by using a moment method; and carrying out zero setting on the impedance matrix in non-nearby sub-areas and non-coupling areas. The number of nearby group primary functions of each chip unit and the number of primary functions of the coupling areas are relatively small, so that the rarefaction degree of the whole impedance matrix is high and the internal memory space and computation time are greatly saved. The method disclosed by the invention is strong in adaptability and high in computation precision, and has the effect of greatly improving efficiency of computing the electrically large targets by using the moment method.

The invention discloses an on-machine measuring method for a wall thickness of a complex thin-wall structure part; after a numerical control milling machine is roughly processed and installed on the complex thin-wall structure part on a rotary table, a contact probe is called and installed to a main shaft of a machine tool, and a plurality of planning points are arranged on the curve surface of the tested area of the complex thin-wall structure part; the actual measurement value of coordinates of the planning points is detected by the contact probe; and then the actual normal vector of each planning point on the curve surface of the tested aera of the complex thin-wall structure part is drawn by the actual measurement value of the coordinate. A transfer device provided with a ultrasonic sensor is continuously replaced and called to the maine shaft of the machine tool; through the posture control of the main shaft of the machine tool and the rotary table, an ultrasonic thickness gauge can calculate the wall thickness value of the tested point automatically when the ultrasonic sensor touches the curve surface planning point of the complex thin wall structure part; and the wall thickness value is transmitted to a computer through a signal cable in real time; and then the computer processes, analyzes, and stores the wall thickness measuring data of all planning points of the complex thin wall structure part.

The embodiment of the invention provides a network installation method of an operating system, which comprises the following steps that: a bootstrap of mobile terminal equipment starts up a metaoperating system and enters a system management mode; under the system management mode, the mobile terminal equipment sets up network connection and downloads the corresponding system image file; and the mobile terminal equipment decompresses the system image file, and writes into the corresponding partition to complete the system installation. With the scheme, under the premise of unchanging the function of the bootstrap, the invention realizes the automatic installation of the networking of operating system of the mobile equipment, separates the coupling relation between underlying hardware and network service, reduces the difficulty of transplanting and development, improves the portability of different mobile phone terminals, and has simple realization.

The invention discloses a human body three-dimensional joint estimation frame based on a depth network and a positioning method thereof. The frame comprises a two-dimensional posture sub-network, which is used for pre-training on a two-dimensional posture data set to extract two-dimensional posture features and transmit them to a two-dimensional-three-dimensional conversion module to generate precise two-dimensional prediction posture; the two-dimensional-three-dimensional conversion module configured to receive the two-dimensional posture features extracted by the two-dimensional posture sub-network and convert them into a three-dimensional posture feature space, and generate a three-dimensional posture rough estimation with consistent time sequence; a 3D-two-dimensional projection module, configured to convert the rough estimation of the intermediate three-dimensional pose estimated by the two-dimensional-three-dimensional conversion module to the two-dimensional space to generate two-dimensional projection posture, which corrects the estimated three-dimensional posture by optimizing the consistency between the two-dimensional projection posture and the two-dimensional predictionposture, and finally outputs accurate three-dimensional posture estimation with time-space consistency and two-dimensional three-dimensional geometrical consistency. The invention can improve the accuracy of the three-dimensional joint prediction positioning of the human body.

The invention discloses a mobile terminal orientated frictional force tactile sense reappearing system and reappearing method. The system comprises a mobile terminal, a frictional force tactile sense driving module and a tactile sense panel, wherein the frictional force tactile sense driving module comprises an MCU, a piezoelectric ceramic sheet drive signal generation module and a power supply module. By virtue of the system, when a finger tip of an operator moves on the tactile sense panel, the mobile terminal can detect the position of the finger tip on the tactile sense panel in real time and transmit a gray value of a point corresponding to the position to the MCU through a USB; the MCU controls the signal amplitude generated by a function signal generator according to the gray value, and then through amplification by an audio power amplifier, a sine wave signal with adjustable amplitude can be obtained; and the signal can change the frictional force coefficient on the tactile sense panel, and when the finger of the operator slides, the finger tip can feel the frictional force change on the tactile sense panel. The mobile terminal orientated frictional force tactile sense reappearing system can be applied to a man-machine interaction system used for tactile sense reappearing, and is convenient to operate and strong in experience.

The invention discloses an adaptive front turn lamp lighting system. A 2D or 3D acceleration transducer is respectively installed on the lamp and the rotor shafts of the front wheels of a car to measure the angle changes of the car and the front lamp in up, down, right and left directions, and then the turning angles of the front lamp in up, down, right and left directions are calculated through ECU integration, and the turning of the front lamp is controlled by a lamp turning drive and control module, thereby guaranteeing that the illumination of the front lamp in up, down, right and left directions can be correctly adjusted whether the car is in an upslope state or downslope state, accelerates or decelerates, or drives on an uneven road or makes a turn, so that the driving safety of the car is enhanced; the invention also reduces the complexity of the structure of an AFS system and realization cost and improves the transportability of the components in the system; besides, the system also reduces the possible maintenance cost of users and increases the possibility of being popularized for use.

The invention belongs to the technical field of agricultural Internet of Things equipment and information processing, and discloses an agricultural Internet of Things sensor communication method basedon a wireless network and Raspberry Pi nodes, which adopts a Raspberry Pi development platform as an acquisition node and is responsible for acquiring data of each USB interface and summarizing the data; a ZigBee protocol stack and a wireless chip are analyzed, a terminal node of a wireless sensor system is built, and a coordinator based on a USB interface is built; and the coordinator enables the UART mode to communicate with an upper computer. The wireless sensor system designed by the invention is convenient to use, and the system-on-chip of the raspberry pi platform can perform secondaryprocessing on sensor data, so that a foundation can be laid for further performing intelligent processing on sensor nodes; the wireless network protocol needs to have the characteristics of low powerconsumption, low cost, capability of supporting a large number of network nodes, safety and the like, and the two nodes can stably communicate in a short distance.

The invention discloses a method for dynamic modeling for sea ice in a navigation simulator scene. The method for the dynamic modeling for the sea ice in the navigation simulator scene comprises the following steps of dynamically managing a whole sea ice field based on a quadtree space partition technology, confirming a state of a sea ice model and carrying out dynamic brash ice modeling on a single body ice breaking model. According to the method for the dynamic modeling for the sea ice in the navigation simulator scene, a quadtree technology is applied to the scene management of repetition models, due to the fact that the generation, breaking, melting and freezing in the sea ice model are extremely suitable for the storage of property structures, the whole sea ice face can be taken as a single layer, an octree which is more complex is not necessary to be used for managing three-dimensional scenes, the function of early stage simplification is performed on the subsequent breaking, freezing, melting and other dynamic processes, and thus the real-time performance of a visual system is greatly improved and optimized. According to the method for the dynamic modeling for the sea ice in the navigation simulator scene, a Voronoi image algorithm is optimized and then added and applied to sea ice dynamic modeling so that relative realistic situations meeting actual natural conditions can be formed in a breaking model when collision between ships and ice occurs, and thus the sense of reality of sea ice breaking is enhanced.

The invention relates to a method for processing an IP network to a wireless multimedia sensor network. The method is characterized in that the virtual gateway mode is utilized to access the wireless multimedia sensor network to the IP network; the virtual gateway obey that the wireless multimedia sensor network can be accessed through the application program of SOCKET network programming code; the virtual gateway is capable of dynamically loading to convert IP data and multimedia sensor network protocol data on different operation platforms and is corresponding to a network driving program of an operation system. According to the method, a virtual gateway middleware is developed to solve the problem of transparent transmission of data of the wireless multimedia sensor network and the IP network and the problem of poor transferability and universality of the application program of the wireless multimedia sensor network.

The invention discloses a dependency grammar analysis method and device and an auxiliary classifier training method. The dependency grammar analysis method includes the steps of preliminary analysis: using a universal dependency grammar analyzer to carry out dependency grammar analysis on sentences of a target field to generate analysis results in a predetermined number, characteristic extraction: extracting the high-order characteristics of at least parts of edges from a dependency relationship tree serving as the analysis results, and classification: using an auxiliary classifier to classify the analysis results in the predetermined number based on the high-order characteristics, and selecting final dependency grammar analysis results from the analysis results in the predetermined number according to the classification results.

The invention provides an application generation method and apparatus. The application generation method comprises: receiving a task instruction and configuration information corresponding to the task instruction, and according to the configuration information, generating corresponding instance data in a program kernel ; searching for program components corresponding to the task instruction, and sequencing the found program components; and calling the sequenced program components by using a preset calling interface of the program kernel, to process the instance data. According to the application generation method and apparatus provided by the invention, a function change of the application can be realized via a plurality of task instructions, and when a new function is added, only a new component needs to be added, thereby facilitating improvement in portability and scalability of the application, and greatly improving application development efficiency.

The invention discloses a battery state analysis method and device based on vehicle networking, a computing device and a computer storage medium, wherein the method comprises the following steps of: receiving vehicle basic information sent by a vehicle end, battery basic information and battery detection information collected by a battery detection sensor; analyzing the battery detection information according to the battery state analysis model in a cloud server, the vehicle basic information and the battery basic information to obtain a battery state analysis result; determining a target battery state according to the battery state analysis result; and sending the target battery state to the vehicle end for the vehicle end to execute corresponding operation according to the target batterystate. According to the technical scheme, the management and monitoring of the battery system in the vehicle end are achieved through the cloud server, the manufacturing cost of a vehicle-mounted controller can be effectively reduced, the safe operation of the whole vehicle is ensured in real time, the expansibility and portability of the system are improved, and the maintaining and upgrading areconvenient.

The invention provides a production line control system and a control method thereof. The production line control system comprises multiple control subsystems used for respectively controlling equipment corresponding to each control subsystem and an instruction distribution device used for distributing a normative instruction to a control subsystem, corresponding to the type of the normative instruction, in the multiple control subsystems according to the type of the normative instruction. Besides, the invention also provides a computer readable storage medium used for storing instructions which can be executed by a processor as well as computer equipment. By adopting the production line control system provided by the invention, accuracy, stability and portability of the production line control system can be enhanced, mass production of a flexible production line is facilitated, and the flexible production line also can have high availability.

The invention belongs to the technical field of data transmission and particularly relates to an avionics target hardware equipment Ethernet data loading method. A data loading module, a FIND processing module, a TFTP protocol module, an ARINC665-3 protocol file processing module, a log module and a state reporting module are used for achieving the avionics target hardware equipment Ethernet data loading method. Compared with the prior art, the avionics target hardware equipment Ethernet data loading method can meet the file transmission requirements of different Ethernet environments of avionics, effective file transmission under the avionics Ethernet environment is achieved, data transmission operation can be controlled according to the specific operation situation of target equipment, flexibility is high, received loading file format and integrity can be checked, and accordingly the safety of needed data is high.

The invention provides a parameter modular implementation method and system for preventing frequent reset of BMC, and belongs to the field of server BMC reset button application. The method is based on CPLD-FPGA to achieve the design of a BMC button reset control module, a BMC reset signal is output for effective duration through logic control, the suspension of the BMC caused by frequent reset can be avoided through logic control, and the reliability design of a server is improved. A modular and parametric design improves the flexibility and portability of the BMC button reset control module.

The invention discloses an intelligent positioning and theft-against system for an electric bicycle. The intelligent positioning and theft-against system comprises an intelligent controller, a user terminal, a cloud server group and a cloud database group, wherein the intelligent controller is mounted in the electric bicycle and used for realizing the start and stop of the electric bicycle, theft-against warning, electronic brake theft prevention and the transmission of the positioning information of the electric bicycle based on bluetooth communications; the intelligent controller transmits the position information to a user terminal through cloud servers; besides, the cloud servers transmit the position information of the electric bicycle to the cloud databases for information storage; the user terminal is used for displaying the position information calculated by the cloud servers in real time and providing the user interface for system settings. In the manner, the intelligent positioning and theft-against system is low in cost and high in portability; the intelligent positioning and theft-against system can perform positioning and theft prevention on the electric bicycle, perform real-time positioning monitoring on the electric bicycle, realize theft-against warning and electronic brake theft prevention, and can provide feasible technical support for enterprises realizing information push based on positioning in the future.

The invention discloses an embedded binocular iris recognition device, system and method thereof and belongs to the field of biological recognition. The embedded binocular iris recognition device comprises a CPU, a first camera lens and a second camera lens, wherein the CPU is connected with a first image acquisition module, a second image acquisition module, a first image processing module, a second image processing module, an internal memory and an external memory and is further connected with a serial port and / or a USB port. The data input end of the first image acquisition module is connected with the first camera lens, the data output end of the first image acquisition module is connected with the first image processing module, the data input end of the second image acquisition module is connected with the second camera lens, the data output end of the second image acquisition module is connected with the second image processing module, and the first image processing module and the second image processing module are also connected with the internal memory. The embedded binocular iris recognition device has the advantages of being high in speed, high in reliability, good in flexibility and portability and the like.

The invention relates to a method for managing application programs in an open service gateway service platform and an architecture thereof. In particular, the method for managing a plurality of application programs in the open service gateway service platform comprises the following steps: adding the plurality of application programs to a service list and generating a setting document corresponding to each application program; storing the setting document corresponding to each application program; when the first application program in the plurality of application programs is started, updating a state corresponding to the first application program in the service list; and enabling the setting document corresponding to the first application program. The method for managing the application programs in the open service gateway service platform has the advantages of combining the application programs in the open service gateway service platform, integrating all the application programs in the same administration program, further greatly improving the program modularity and communication capacity, and effectively improving the transplantation capability without independently development of different setting programs.