82results about How to "Wide range of application scenarios" patented technology

The invention discloses a motion capturing system and method based on an inertia sensor technology and relates to the motion capturing technology of animation production. The motion capturing system and method based on the inertia sensor technology are aimed to solve the problem that an existing optical capturing system is incapable of precisely undoing human body actions. The motion capturing system comprises 17 inertia sensing nodes, a main control computer and a wireless transmitter; the 17 inertia sensing nodes are arranged on 17 information capturing nodes on the skeleton of the human body in a one-to-one correspondence mode for measuring the movement of different position points of the human body, the 17 inertia sensing nodes communicate with the wireless transmitter through a wireless mode, the wireless transmitter is connected with the main control computer, the wireless transmitter is used for receiving data sent by all the inertia sensing nodes and transmitting the data to the main control computer for processing, and the wireless transmitter is further used for sending control commands sent by the main control computer to all the inertia sensing nodes or appointed inertia sensing nodes. The motion capturing system and method based on the inertia sensor technology use a distributed compensation mode and a uniform control mode to control the 17 inertia sensing nodes to gather data at the same time point so as to precisely undo the human body action.

The invention provides a method of indoor positioning through combination of WIFI and pedestrian dead reckoning (PDR). The method is characterized in that the initial position of the object to be measured is obtained through a WIFI positioning subsystem, after the initial position of the object to be measured is acquired, the two sets of positioning subsystems such as a WIFI positioning subsystem and a PDR positioning subsystem respectively output the positions of the object to be measured, a time window utility function is used for effective linear weighting of coordinates output by the WIFI positioning subsystem and the PDR-based positioning subsystem, and after weighting, the coordinates are processed by Kalman filtering so that global positioning coordinates of mixed WIFI and PDR are obtained. The method utilizes characteristics of the WIFI indoor positioning technology and the PDR track, solves the problems of large WIFI indoor positioning volatility and performance dispersion after long-term operation of an inertial navigation device, improves a system positioning precision and has a wide application prospect.

The invention relates to liquid metal microparticles with core-shell structures and a preparation method and application thereof. Each liquid metal microparticle comprises a core formed by liquid metal and a shell completely wrapping the outer layer of the core, wherein the shell is prepared from an organic high-molecular polymer. The preparation method comprises the steps that the organic high-molecular polymers are dissolved in an organic solvent to form a polymer solution; liquid metal is dropwise added into the polymer solution to disperse the polymer solution into micro-nano particles; and the micro-nano particles are extruded into water through a micropore structure, and thus the liquid metal microparticles with the core-shell structures are obtained after standing. The preparation method of the liquid metal microparticles is convenient and rapid, the sizes of the prepared microparticles can reach the nanometer grade and are uniform and stable, and the problem that the liquid metal microparticles can coagulate again is completely solved. The liquid metal microparticles with the core-shell structures can be quickly prepared in a large scale, and the liquid metal microparticleswith the core-shell structures can be applied to the fields of phase-change microcapsules, nanometer fluids, drug-carrying robots and the like and have excellent application prospects at the industrialization aspect.

The invention provides a display method and device for supporting multi-screen input. The device comprises a processing unit and a plurality of display units, wherein each display unit is connected with the processing unit; the display unit is used for receiving a touch event and transmitting the touch event to the processing unit; the processing unit is used for correspondingly processing the received touch event according to the configuration mode of a current device, wherein the configuration mode comprises a simultaneous display mode and an asynchronous display mode. Therefore, each display unit supports user input, interaction between the device and a user is improved, and in addition, the touch events received by different display units can be processed through calling the same processor. Compared with a structure that each display unit is correspondingly provided with one processor, the adoption of the device greatly lowers equipment cost. The device has the characteristics of high interactivity, low cost, wide application scene range and the like.

The invention discloses a method and a device for achieving terminal multimedia broadcast, and relates to the technical field of communication. The method comprises the following steps: establishing a peer-to-peer wireless local area network comprising a sending terminal and a receiving terminal; processing captured multimedia information to streaming media by the sending terminal; and broadcasting the streaming media to the receiving terminal by the sending terminal, and broadcasting the multimedia information in the streaming media by the receiving terminal after the receiving terminal receives the streaming media. The method and the device disclosed by the invention can not only achieve real-time communication of voice and video, but also generate no mobile network communication fee.

The invention provides a 3D gesture recognition method and system based on a deep convolutional neural network. The method comprises the steps that firstly, using a first deep convolutional neural network or conducting pre-segmentation on a large number of color images containing hands, and extracting hand action parts; secondly, performing hand joint node detection on the extracted hand by usinga second deep convolutional neural network; Performing gesture 3D reconstruction on the detected joint nodes by using a double-flow deep convolutional network; And finally, constructing a softmax network comprising three full connection layers to identify the 3D reconstructed gesture. The technical scheme provided by the invention has the beneficial effects that the gesture recognition precision can be effectively improved. From the perspective of application range, an object of the method is an RGB image collected by a monocular camera, required equipment is simple and cheap, and the application scene is wider.

A man-machine interface system can complete logical relationship matching of the hand device with a virtual character corresponding to the head device worn by a user through the vibration of simultaneous detection of a hand device and a head device without any other additional operations. The system is based on the hand device as well as a thumb portion button and a grip force portion button capable of sensing the strength of grip force and matched with the head device, wherein the thumb portion button and the grip force portion button are integrated from the hand device. Use methods comprises (1) a use method of selecting default hand skills and props, (2) a use method of exerting the skills and releasing the props, (3) a use method of controlling a virtual character to sprint, (4) a use method of controlling the virtual character to jump and the like. The use methods are in line with use habits of people. The entire device is compatible with platforms, such as an existing PC (Personal Computer), a smart mobile phone and a tablet PC other, low in costs and easy to popularize.

The invention discloses a self-organized mapping model based cloud software performance exception error diagnosis method. The method comprises the steps of tracking and recording system call information of to-be-detected software during running in a cloud environment; analyzing a system call sequence during software running in a virtual machine with a performance exception, and dividing a system call sequence corresponding to each process; according to the process system call sequence obtained by division, establishing a detection model and performing exception detection on a suspicious process; and calculating most related system calls in a process with an exception, and performing sorting and output. According to the method, a behavior during software running can be accurately and completely recorded, the automated modeling can be carried out, the exceptional system running process can be detected, and the system call related to the exceptional running process can be positioned more accurately. The invention aims to provide a method for automatically analyzing and positioning related system calls causing performance exception errors when the performance exception errors occur, thereby assisting developers to position and solve potential performance bugs in the software more quickly and efficiently.

The invention relates to a security transmission method based on a polarization code under a parallel channel, and belongs to the technical field of security of physical layers. According to the method, a mapping function is optimized according to channel state information of a main channel to achieve security transmission; the essence of the method is that the characteristic that the polarization code has different polaron channel information bit positions due to different parallel sub-channel arrangement modes under the parallel channel is used for adding the optimized mapping function according to the channel state information of the main channel after the polarization code is coded, and mapping information bits to different parallel sub-channels to transmit, an eavesdropping user cannot acquire the channel state of the main channel and thus cannot accurately decode encrypted information, so that security of information transmission is ensured. Compared the prior art, the method provided by the invention does not need to know channel quality of the eavesdropping channel, can be applied to the scene using the eavesdropping channel as the main channel, and is wider in application range.

Embodiments of the present invention provide a mobile station paging method and a mobile call center device, The method includes: receiving a service call request, and selecting a corresponding posterior probability table according to an identifier of a target mobile station included in the service call request, where the posterior probability table includes a distribution probability of the target mobile station in each cell of a location area where the target mobile station is located in a service state; and selecting a cell to page the target mobile station according to the distribution probability. The paging is performed based on the distribution probability of a user in the each cell in the service state; the paging process is simple; and the application scenario is wide, thereby saving air interface resources while ensuring a paging efficiency.

The invention discloses a control method of a household appliance, a household appliance and a readable storage medium. The control method comprises the following steps of: acquiring an image in a preset direction of the household appliance; analyzing whether the image comprises the head of a human body or not; calculating the distance from the human body to the household appliance by using the head of the human body under the condition that the image comprises the head of the human body; and controlling the household appliance to execute corresponding operation according to the distance. According to the invention, the distance from the human body to the household appliance is calculated by using the head of the human body, and the household electrical appliance is controlled to execute corresponding operation according to the distance, so that intelligent operation of the household electrical appliance is achieved. Moreover, the distance measurement is carried out by adopting the head of the human body, the precision is high, the range of application scenes is wide, meanwhile, the corresponding operation of the household appliance is controlled according to the obtained distance,and the requirements of users are better met.

The invention discloses a target object identification method and device based on an infrared thermal imaging system. The method comprises steps that infrared image data shot by the infrared thermal imaging system is acquired, and the infrared image data comprises the pixel point position and a pixel point gray value; the acquired pixel point gray value in an alarm region is compared with a preset threshold of the alarm region, if the pixel point gray value is larger than the preset threshold, the next step is performed; the identity information of break-in targets of the infrared image data and the quantity can be acquired according to the pixel point position, and the corresponding alarm information is generated. The method is advantaged in that precise control on alarm output can be realized, target objects triggering alarm are locked through setting a vector scope corresponding to the alarm target objects when a user need aim at only one type or several close alarm target object types, other target objects do not trigger alarm, so the user is more convenient to use, an application scene of a system is made to be wider, and an error report rate is smaller.

The invention discloses a rapid high-precision defect detection method based on a visual image, and the method comprises the following steps: positioning a reference standard object, collecting an image, creating a matching template, determining a detection region, positioning a to-be-detected object, collecting an image, comparing a standard region image with a to-be-detected region image, obtaining a defect detection result.Extracting abnormal areas, and extracting and screening abnormal area features. According to the rapid high-precision defect detection method based on the visual image, the detection process is simple and rapid, a high-precision calibration plate or an auxiliary tool does not need to be specially customized, the requirement for the assembly precision of the alignmentmodule is low, calculation of the translation position and the rotation angle can be completed through one-time photographing of multiple cameras, and the alignment process is high in efficiency and precision, therefore, rapid and high-precision defect detection of the target object can be realized.

The embodiment of the invention relates to a method and a device for generating a three-dimensional image. The method comprises the steps as follows: a plurality of micro-cell images are obtained; each micro-cell image is divided into a plurality of feature areas; the difference value between color values of any two pixel points within each feature area in the plurality of feature areas is smaller than or equal to a first threshold, a plurality of area planes are determined according to the plurality of feature areas; the feature areas comprised by each area plane belong to the same object or belong to a homology region; each feature area in the plurality of feature areas only belongs to one area plane in the plurality of area planes; an area plane depth value of each area plane is determined; and the three-dimensional image is obtained according to the area plane depth value. The method and the device for generating the three-dimensional image provided by the embodiment of the invention can relatively accurately extract the depth values, so that generated three-dimensional images are relatively accurate and vivid; and the application scene range is relatively wide.

The invention discloses a Baud rate automatic conversion system and method supporting a DLT698 protocol, and belongs to the technical field of intelligent power grid electricity information acquisition. The invention aims to solve the technical problem of low meter reading success rate of a station acquisition terminal caused by 485 long-distance communication and uncertainty of default baud rateof a 485 interface of an intelligent electric meter. The adopted technical scheme is as follows: the system comprises a main station, a field station acquisition terminal, a 485 repeater and an intelligent electric meter, wherein the main station is connected with the field station acquisition terminal through the Ethernet; the field station acquisition terminal is connected with the 485 repeaterthrough an RS-485 interface, the 485 repeater is connected with the intelligent electric meter through an RS-485 interface, and the field station acquisition terminal regularly reads intelligent electric meter data supporting a DLT698 protocol through the 485 repeater and regularly uploads the read intelligent electric meter data to the main station through the Ethernet. The invention further discloses a method for automatically converting the Baud rate supporting the DLT698 protocol.

The invention relates to an efficient network flow processing method and system based on a dynamic array. The method comprises: allocating a cache manager to each thread, wherein the cache managers apply for memory blocks with super blocks as units, and each super block comprises a plurality of basic blocks; setting a dynamic array, and storing a scanning result of the network flow in the super block applied by the cache manager of the thread to which the scanning result belongs through the dynamic array; creating a required thread in an initialization stage, and initializing a cache manager,network flow in the thread and a dynamic array; and performing operations of applying for the memory, obtaining the next element and returning the memory in the memory use stage. Waste of memory spacecan be reduced, and the requirements for efficient processing performance and low space consumption of an online system are met.

The invention relates to a frequency full-response analytical model considering an initial state of a system. The model is characterized in that S1, a dynamic frequency full-response model is established according to a linearized model of each element of a power system and is simplified; S2, the initial state and input of the system are respectively ignored based on the full-response model in theS1, and analytic expressions of the frequency offset and the zero state response and zero input response of the power increment of a low-pressure cylinder in a steam turbine in the time period from tito ti+1 after a sudden change point i are obtained; S3, according to the superposition theorem, a full-response expression of the system frequency offset in the time period from ti to ti+1 after thesudden change point i is obtained through the S2; S4, i is made to be 1, and the process turns to a S5; S5, an analytical expression of the system frequency offset and the power increment of the low-pressure cylinder in the steam turbine in the time period from ti to ti+1 is solved; S6; if i is less than n, i is made to be equal to i+1, and the process turns to the S5; otherwise, the process turnsto a S7; and S7, an analytical expression of the whole dynamic frequency response process of the system is obtained. The model is advantaged in that the frequency response process of the system wheninput such as low-frequency load shedding and unit protection generator tripping occurs or parameters change suddenly when the frequency falls can be analyzed.

The invention provides a mammary gland diagnosis system. The mammary gland diagnosis system comprises a detection device, a correction device, an adjustment device, a shifting device, a supporting device and a processor, and is characterized in that the correction device is configured to correct the detection posture of mammary glands; the detection device is configured to detect the mammary gland; the adjustment device is configured to adjust the position of the detection device; the shifting device is configured to adjust the detection part of the mammary gland; and the supporting device isconfigured to support the detection device, the adjustment device and the shifting device and is fixed at the detection position. According to the system, an extension sensing piece is configured to be arranged at the end part of an extension rod, detects the force in the shifting process, and adjusts the force of a reciprocating mechanism or the extension distance of an extension mechanism according to the feedback of the extension sensing piece; and the comfort and the detection precision can be both considered in the shifting process of the shifting device.

The invention relates to the technical field of fire detection and particularly relates to an intelligent fire detection and alarming system. The intelligent fire detection and alarming system comprises monitoring points, a first sensor module, a second sensor module, a third sensor module, a monitoring terminal, a data analysis and comparison module, an unmanned aerial vehicle monitoring module and a remote sensing image receiving module, wherein the monitoring points comprise an indoor acquisition point and an outdoor acquisition point, the first sensor module is arranged at the indoor acquisition point, the fire thus has a large sensing range, and the application scenes are wide; the unmanned aerial vehicle monitoring module is internally provided with a photographing module, the fire condition in a fire field can be photographed in real time, and a commander at the monitoring terminal can make proper treatment in time; and the remote sensing image receiving module receives a remotesensing image of the fire field in a first time, a fire condition history database is matched for analysis, and high efficiency and safety of a fire extinguishing process are more facilitated.

A concrete sensor with a multi-intelligence characteristic comprises the following components in percentage by weight: cement to nano silicon dioxide to slag to sand to water reducing agent to defoaming agent to three-dimensional carbon nano material aqueous dispersion liquid =1:(0.05-0.12):(0.1-0.2):(0.8-1.2):(0.02-0.03):(0.001-0.004):(0.240-0.284), the volume content of steel fibers is 1.0-2.0%,and the volume content is 0.5-1.5%. The invention further provides a preparation method of the concrete sensor with the multi-intelligence characteristic. The problems that intelligent concrete onlyserves as a single performance sensor, and the sensing performance is reduced after the load exceeds the elastic range of the intelligent concrete or the intelligent concrete cracks are solved, and meanwhile the temperature, humidity and load state change of the structure can be stably monitored.

An embodiment of the invention discloses a clamping device. The clamping device comprises a mounting seat, multiple sliding bodies which are mounted on the mounting seat and extend in different directions, multiple clamping pieces which are assembled on the different sliding bodies separately, can slide on the sliding bodies and have the combined action to clamp a to-be-clamped piece, as well as linkage cables which are connected with the clamping pieces in a linked manner and drive the clamping pieces to slide on the respective sliding bodies. An embodiment of the invention further disclosesa clamping system. The clamping device and the clamping system have the advantages of capability of clamping to-be-clamped pieces in different sizes and relatively low cost.

The invention discloses a broadcasting device which can sense noise and adjust volume automatically. The broadcasting device can automatically adjust the volume of the playing according to the sound pressure of the playing environment noise, so as to improve the signal to noise ratio of the whole broadcast system; wherein the process of sensing the sound pressure and adjusting the volume automatically is performed in a certain cycle, and the cycle can be self-defined; meanwhile, the signal to noise ratio in the device can be set in advance, and the value of the signal to noise ratio can be self-defined.

The invention relates to a steam pressure matcher and a control method thereof. The steam pressure matcher comprises a steam turbine and a steam compressor communicating with the steam turbine, and one side of the steam turbine is externally connected with high-pressure steam. The other side of the steam turbine communicates with a heat supply header, and one side of the steam compressor is externally connected with low-pressure steam. The other side of the steam compressor communicates with the heat supply header. One side of the heat supply header communicates with the high-pressure steam through a temperature and pressure reducer and a pipeline, and the other side of the heat supply header communicates with a heat removing user. According to the steam pressure matcher and the control method thereof, a steam jet type pressure matcher is replaced, wide application scenarios are achieved, and the urgent needs of the nation for energy saving and emission reduction are met. The steam pressure matcher and the control method thereof create a broader road for solving the contradiction between the operation safety of a large-scale turboset and heat supply need diversity and achieving theefficient combined heat and power generation of coal-fired / gas-fired power plants.

The invention belongs to the field of computer vision, and relates to a method for comparing similarity of motion postures in a video, which comprises the following steps of: carrying out extracting data, and generating a skeleton key node graph containing a plurality of human body nodes; preprocessing the data to generate a node time sequence state diagram; removing a non-change part in the nodetime sequence state diagram, only retaining change states of the nodes at different time, and generating a node time sequence change characteristic diagram; calculating a difference value through a difference algorithm according to the node time sequence change characteristic graph, and synthesizing the difference values of each node in different time periods to form a difference matrix of all nodes; and calculating the similarity of the two actions in three dimensions of action posture, action amplitude and action speed through a similarity algorithm according to the difference matrix. The similarity comparison technology provided by the invention can be used for efficiently, quickly and accurately comparing the similarity of the motion postures including the three dimensions of the motion posture, the motion speed and the motion amplitude, and can be applied to the fields of physical exercise, fitness error correction and the like.

The invention provides an intelligent examination paper marking method and system, and the system comprises an image collection module, a processing module and printing equipment. The test paper content is identified by adopting a machine vision model to judge whether the answer is right or wrong; an answer sheet score is then given; and the marks are given and the correct answer is printed on thetest paper. According to the method, machine vision identification and score judgment can be directly carried out on the original answer sheet, so that the trouble of filling the answer sheet by examinees is avoided, the examination is more rapid and humanized, no additional answer sheet is needed, the method is more environment-friendly, the requirement on operating personnel of the intelligentmarking printer is low, and the application scene is wide.

The invention discloses a laser interference image quality evaluation method. The method comprises the steps of acquiring a laser interference image and a corresponding reference image; using the sameconvolution network to respectively carry out convolution pooling operation of multiple times of different level feature extraction on the laser interference image and the reference image in sequence; and calculating the similarity between the feature vectors obtained when the laser interference image and the reference image are subjected to the same convolution pooling, and carrying out weightedcalculation on all the similarities to obtain an image quality score. According to the method, the convolutional network is introduced into laser interference image quality evaluation, the distortiondegree of the interference image is measured by utilizing the similarity of the output features of the reference image and the interference image in each convolutional layer of the convolutional network, and the hierarchy of the features extracted by the convolutional network and the sensitivity to occlusion are fully utilized. Besides, the similarity values corresponding to all convolution pooling are subjected to weighted calculation, the final evaluation score conforms to the actual subjective perception of human eyes, the reliability is high, the positions of a target and a light spot donot need to be detected, and the application scene is wide.

The invention relates to the technical field of equipment maintenance support, and discloses a new research equipment spare part variety determination method. Through fuzzy rough definition and a spare part variety determination model of hesitant fuzzy rough set decision, a hesitant fuzzy decision information system of spare part variety determination, a numerical continuation method of risk preference coefficients, and attribute reduction and rule acquisition of improved inclusion degree calculation are constructed. The method comprises the following specific steps: calculating selection of all decision-making conditions, obtaining hesitant fuzzy decision-making information after condition attributes are recombined, calculating the inclusion degree of the condition attributes in the decision-making attributes in a hesitant fuzzy decision-making information table after the combination, deleting condition attributes item by item, calculating a new decision rule, if the new decision rule is not changed, removing the deleted condition attributes redundantly, and repeating calculation, so a maximum decision reduction set is obtained. The invention provides an extraction method for determining the variety of spare parts. The problem of decision information application under the condition of incomplete information is solved. The effect of the method is verified, and the method has wide application value and application scenes.

The invention provides a yaw angle measurement system and method based on multiple MEMS inertial sensors and a flight control system. The yaw angle measurement system comprises an initialization module, a sensor data acquisition module, a sensor data preprocessing module, a yaw angle calculation module and a pitch angle and roll angle calculation module. The initialization module is used for hardware initialization, algorithm initialization and multi-sensor initialization; the sensor data acquisition module firstly selects inertial sensors and reads measurement values of a gyroscope, an accelerometer and a temperature sensor of each inertial sensor one by one; the sensor data preprocessing module preprocesses original measurement data; the yaw angle resolving module is used for obtaining an accurate yaw angle through integral operation according to the accurate Z-axis angular velocity obtained through calculation by a filtering algorithm; and the pitch angle and roll angle resolving module is used for resolving a pitch angle and a roll angle. The system does not depend on a magnetometer or a GNSS signal, is not influenced by the change of an external magnetic field, and is wide in application scene range and low in cost.

The invention discloses a method for realizing multi-terminal animation cooperative browsing of electronic slides based on pictorialization. The PPT content of the invention takes a page as a unit, extracts all the animation information of each page, derives a picture according to the animation result of each frame in the animation execution step, and forms a Zip format data packet from all the animation result pictures of each page and the animation description information of each page. Each page of Zip packets is then transmitted over the network to all remotely interacting participants, andeach remote terminal completes the browsing based on the picture. The invention has the advantages that the processing of the third method mentioned above is very simple, and at the same time, the problem that each page of PPT content is converted into a static picture and all the animation information of PPT is lost is avoided. The invention can realize the animation effect to meet the needs ofusers in most cases. The invention uses the lossy compression under the condition of satisfying the visual effect, maximizes the reduction of the data transmission quantity and effectively saves the bandwidth.

The invention provides a vehicle-mounted camera angle calibration method, a terminal and a storage medium. The mounting position of a camera on a vehicle is fixed, a world coordinate system, a camera coordinate system, an image plane coordinate system and a pixel coordinate system are predefined, and the method comprises the following steps: obtaining a boundary line of a vehicle body and a road in an image according to the image shot by the camera; obtaining a calibration value of a roll angle and a calibration value of a yaw angle of the camera according to a mapping relation of the boundary line in the world coordinate system and the pixel coordinate system; obtaining two lane lines in the image according to the image; and according to the mapping relation of the two lane lines in the world coordinate system and the pixel coordinate system, obtaining the calibration value of the pitch angle of the camera. The application scene of camera angle calibration can be enlarged.