313results about How to "Reduce computing burden" patented technology

The invention provides a system for measuring respiratory rate (RR) from a patient. The system includes an impedance pneumography (IP) sensor, connected to at least two electrodes, and a processing system that receives and processes signals from the electrodes to measure an IP signal. A motion sensor (e.g. an accelerometer) measures at least one motion signal (e.g. an ACC waveform) describing movement of a portion of the patient's body to which it is attached. The processing system receives the IP and motion signals, and processes them to determine, respectfully, frequency-domain IP and motion spectra. Both spectra are then collectively processed to remove motion components from the IP spectrum and determine RR. For example, during the processing, an algorithm determines motion frequency components from the frequency-domain motion spectrum, and then using a digital filter removes these, or parameters calculated therefrom, from the IP spectrum.

The invention provides a system for measuring respiratory rate (RR) from a patient. The system includes an impedance pneumography (IP) sensor, connected to at least two electrodes, and a processing system that receives and processes signals from the electrodes to measure an IP signal. A motion sensor (e.g. an accelerometer) measures at least one motion signal (e.g. an ACC waveform) describing movement of a portion of the patient's body to which it is attached. The processing system receives the IP and motion signals, and processes them to determine, respectfully, frequency-domain IP and motion spectra. Both spectra are then collectively processed to remove motion components from the IP spectrum and determine RR. For example, during the processing, an algorithm determines motion frequency components from the frequency-domain motion spectrum, and then using a digital filter removes these, or parameters calculated therefrom, from the IP spectrum.

A method for utilizing a registration authority to facilitate a certificate signing request is disclosed. In at least one embodiment, a registration authority computer may receive a certificate signing request associated with a token requestor. The registration authority may authenticate the identity of the token requestor and forward the certificate signing request to a certificate authority computer. A token requestor ID and a signed certificate may be provided by the certificate authority computer and forwarded to the token requestor. The token requestor ID may be utilized by the token requestor to generate digital signatures for subsequent token-based transactions.

The invention discloses a garbage can capable of automatic classifying based on visual identification and a classifying method. The garbage can comprises a garbage throwing opening, a first photoelectric switch sensor, an identifying and classifying tray, second photoelectric switch sensors, sub garbage cans, an image identification component, an STM32 controller, a double-path stepping motor driver and a garbage can shell, wherein the garbage throwing opening is formed in the side wall of the garbage can shell; the first photoelectric switch sensor is arranged in the garbage throwing opening;a plurality of sub garbage cans are arranged in the garbage can shell; a second photoelectric switch sensor is mounted in a can opening position of each sub garbage can; the identifying and classifying tray is arranged in the garbage can shell and is located above the sub garbage cans; the identifying and classifying tray comprises a garbage tray, a V-shaped baffle stepping motor, a camera, a V-shaped baffle, a support frame, a rotary baffle stepping motor and a rotary baffle. According to the garbage can, the camera is used for collecting garbage images; a TensorFlow deep learning frameworkis adopted; through transfer training of a model, the accuracy rate of garbage identification is increased.

The invention provides a graphics processing unit (GPU)-orientated large-scale terrain fast drawing method. The method comprises the following steps of: generating an out-of-core file of original terrain, wherein the out-of-core file stores a plurality of terrain blocks containing original terrain data, an indexing serial number of each terrain block and compressed texture blocks corresponding to the terrain blocks, and the terrain data comprises texture data and altitude data; determining the level of detail (LOD) hierarchical distribution of the terrain according to a predetermined view point, establishing a terrain quadtree structure, traversing the terrain quadtree structure, selecting a corresponding quadtree node for different LODs, and adding the selected quadtree node to a rendering scheduling queue, wherein each node of the terrain quadtree structure corresponds to the corresponding compressed terrain block in the out-of-core file and is used for storing the LOD and the altitude data of the corresponding compressed terrain block; and acquiring the node to be scheduled from the rendering scheduling queue, and rendering the node to be scheduled to finish the drawing of the original terrain.

The invention discloses a locomotive semi-physical simulation device, system and method. The device comprises a real-time simulation unit, a computer and an electrical signal conversion unit. The computer converts a control instruction for simulating an upper-layer network control system into a bus communication protocol, and then sends the bus communication protocol to a communication conversion unit of the electrical signal conversion unit. The communication conversion unit sends the control instruction to an external physical controller, the physical controller outputs a control signal to a controlled object model according to the control instruction, the control signal is sent to a real-time simulation unit via the electrical signal conversion unit, the real-time simulation unit calculates a output result of a state signal of the controlled object model according to the control signal, the output result is sent to the physical controller via the electrical signal conversion unit, and the physical controller sends the state signal of the controlled object model back to the computer via the communication conversion unit. The technical problems that simulation integrity and precision of an existing system are not high, function verification cannot be accurately performed, the modification period is long, and efficiency and performability are low are solved.

The invention discloses a method for locating a power distribution network 10kV feeder line fault based on matrix operation, and belongs to the technical field of power distribution network automation. The technical problem to be solved is the fault locating of a power distribution network medium voltage 10kV feeder line. The method comprises the steps that a power distribution network initial power supply path matrix H is formed according to the topological structure of the power distribution network feeder line, the H is amended to obtain an amended path matrix H' so as to solve the problem of repeated fault locating, fault information is obtained through an FTU, operation processing is carried out on the amended path matrix H' according to the fault information, then an initial judgment matrix P' is formed, a fault judgment matrix P is finally obtained, father nodes in a fault area can be judged effectively according to coherent elements in the P, and then the fault area is obtained. By means of the method, the power distribution network feeder line fault is located, the judgment principle is simple and effective, no complex matrix multiplication operation is required, and the aim of locating feeder line tail end faults can be well achieved.

The invention provides a blockchain account processing method and apparatus, and a storage medium. The blockchain account processing method comprises the steps of obtaining a request for generating ablockchain account; generating a random polynomial, and generating a quantum private key according to the random polynomial and the request; generating a quantum public key from the quantum private key through a Falcon encryption algorithm; and performing Hash mapping and coding on the quantum public key to obtain a quantum wallet address corresponding to the quantum public key. The quantum publickey is generated through the Falcon encryption algorithm, the security level of the block chain account is improved, and cracking of an existing block chain account system by a quantum computer can be resisted; Compared with an existing secret key formed by a student with a later quantum password, the quantum private key and the quantum public key generated by the method are smaller in storage space and faster in signature and verification speed, and the operation burden caused to the block chain server is also reduced.

The invention belongs to the technical field of the synthetic aperture radar imaging technology, and particularly relates to an imaging method for an acceleratedly factorized back-projection bunching synthetic aperture radar. The imaging method for the acceleratedly factorized back-projection bunching synthetic aperture radar includes the following steps that platform motion is used for forming a synthetic aperture, the center of the aperture is used as the original point to build a polar coordinate system (r, theta), and the whole aperture is divided into N0 isometric sub-apertures; it is set that alpha is equal to sin theta, and an impulse response function of a pixel point at the position of (rp, theta) corresponding to the uth sub-aperture is expressed as I (u) (alpha)=I (u) (rp, alpha); a two-dimensional wave number variable is defined; a two-dimensional wave number spectrum corresponding to the uth sub-aperture is obtained; according to two-dimensional wave number spectra corresponding to distance wave numbers, two-dimensional wave number spectra corresponding to all the sub-apertures are spliced in the azimuth direction, and one-dimensional wave number spectra corresponding to the distance wave numbers are obtained; then the one-dimensional wave number spectra corresponding to the distance wave numbers are spliced in the distance direction, and a two-dimensional wave number spectrum of the whole aperture is obtained; two-dimensional Fourier transformation is conducted on the two-dimensional wave number spectrum of the whole aperture, and a full spatial resolution image under the polar coordinate system is obtained.

The invention discloses a health service robot capable of achieving electroencephalogram detection. The health service robot comprises a robot body, a main control unit, a motion control unit, a binocular vision capture unit, a man-machine interaction unit, an environmental perception sensor unit, a power supplying unit and a medical treatment detection unit; the medical treatment detection unit comprises an electroencephalogram detection device independent of the robot body; the main control unit is connected with the motion control unit, the binocular vision capture unit, the man-machine interaction unit, the environmental perception sensor unit and the medical treatment detection unit through bus communication protocols and serial communication protocols; the power supplying unit is used for supplying power for the main control unit, the motion control unit, the binocular vision capture unit, the man-machine interaction unit and the environmental perception sensor unit. The health service robot is combined with the electroencephalogram detection device, a robot moving technology and a medical treatment detection technology, and therefore the movable and portable properties of the electroencephalogram detection device can be improved to a large extent.

The invention discloses an RFID multi-label read-write identification method and device based on multiple channels. The label read-write method comprises the steps that a plurality of initial communication channels are set in advance, radio frequency trigger signals are sent out and comprise the number of the communication channels and label read-write state information of all communication channels, received reflection carrier signals are decoded, at least one set of label feedback data in at least one communication channel are obtained, when label response information of one set of label feedback data meets a preset recognition condition, product electronic code information corresponding to the set of label feedback data is read, and label recognition information related to the product electronic code information is sent out. According to the method and device, accuracy of label identification and identification efficiency are improved.

The invention discloses an inverse kinematics calculation method of a six-freedom-degree wrist-biased serial robot. According to the method, an analytical solution of inverse kinematics of the six-freedom-degree wrist-unbiased serial robot serves as an approximate solution and an iteration starting point of the inverse kinematics of the six-freedom-degree wrist-unbiased serial robot, an inverse kinematics value solution of the six-freedom-degree wrist-biased serial robot meeting the precision is calculated through constant iterationapproach, and the convergence rate is high. Compared with a traditional calculation method, the calculation amount is small, the computation quantity of a robot controller is decreased, and the real-timeliness is improved.

A method determines voltages of buses of a power system. Values the voltages include a magnitude and a phase angle. The buses of the power system are grouped in a first area and a second area based on a type of measurement associated with each bus. The first area and the second area have at least one common bus, and wherein at least one bus in the first area is associated with a first type of measurement, and at least one bus in the second area is associated with a second type of measurement. Next, the method determines sequentially voltages of the buses of the first and the second areas.

The invention discloses a direct-current control protection simulation device based on an RTDS and belongs to the field of electrical measurement, and particularly relates to a simulation testing device which is used for simulation study of a direct-current control protection system of high voltage direct-current transmission equipment. The direct-current control protection simulation device based on the RTDS comprises a control unit and a direct-current system protection unit. An operational control work station is connected to an inverter firing angle control module through a polar power control module. The inverter firing angle control module is connected to a thyristor converter through a trigger pulse generating module. The direct-current system protection unit is connected to the inverter firing angle control module and locking signals are transmitted to the inverter firing angle control module when a direct-current system is in a failure state. The direct-current control protection simulation device based on the RTDS can truly simulate and reflect the operating state of a direct-current control protection device, and provides a corresponding simulating result for a study or design of the direct-current control protection device. A mixed simulating mode can relieve computational burden of an RTDS stimulator and is beneficial to improvement of modeling simulation accuracy of the simulating device.

The invention provides a method for Iub port flow control, comprising the steps: RNC sends a capacity request frame to the base station every 100ms, and notifies the cache occupancy information of each queue; the base station measures the air interface average transmission rate of each queue every 100ms, and Occupy information, select the size and period of the next 100ms Iub port transmission data block for each queue, and send a capacity allocation frame to the RNC. In addition, the present invention also provides a flow control device, including: a measurement unit, used to measure the average transmission rate of the air interface of each queue every 100ms; Buffer occupancy, allocate the size and period of the Iub port transmission data block of the next 100ms for each priority queue, and send a capacity allocation frame to the RNC. The invention can simplify the flow control of the Iub port, thereby preventing the system processing burden caused by too frequent capacity allocation.

The invention discloses an intelligent sleep-monitoring and sleep-aiding cloud service system. The intelligent sleep-monitoring and sleep-aiding cloud service system comprises a sleep monitoring module, a cloud service center and an acousto-optic sleep aiding module, wherein the sleep monitoring module comprises a sleep monitoring magnetic buckle and a sleep management terminal, the sleep monitoring magnetic buckle is provided with a shell, and a body movement monitoring sensing unit, a signal collecting unit, a central processing unit and a data transmission unit which are electrically connected are arranged in the shell; the acousto-optic sleep aiding module comprises a shell, and a central control module and an environment light sensor, a wireless communication module, a multicolor LED lamp strip, a touch screen and a voice module which are electrically connected to the central control module are mounted in the shell.

The invention provides an intelligent terminal and a video image stabilizing method and device. The method comprises the following steps: in a video compression process, obtaining residuals of motion estimation of macro blocks in an image frame; counting the residuals of the macro blocks in the image frame to obtain the residual of the image frame; adjusting a timestamp offset between a motion sensor and an image sensor according to the residual of the image frame; and carrying out subsequent timestamp correspondence, jitter estimation and jitter compensation on the image frame with the adjusted timestamp offset. According to the video image stabilizing method provided by the invention, the timestamp offset between the motion sensor and the image sensor is adjusted according to the residuals of the motion estimation in the video compression process, so that when the timestamp offset changes due to automatic exposure and other factors, the system can dynamically adjust the timestamp offset used in the timestamp correspondence, the jitter estimation and the jitter compensation to reduce the adverse effect on the image stabilizing effect resulting from the change of the timestamp offset.

The invention discloses an intelligent maintenance-free power grid monitoring method and system based on cloud edge collaborative deep learning, and the method comprises the steps that sensing equipment collects a monitoring image, and gives an alarm according to alarm information; the edge computing node identifies the monitoring image based on the monitoring image and a power grid anomaly detection model issued by the cloud computing center, and sends alarm information to the sensing device when determining that there is a power grid anomaly; the identified monitoring image is transmitted tothe cloud computing center; the cloud computing center trains a deep learning model according to the stored training set images to generate a power grid anomaly detection model, trains and updates the power grid anomaly detection model according to the identified monitoring images, and issues the power grid anomaly detection model to the edge computing nodes. The invention further discloses a corresponding power grid monitoring system. By adopting the method and the system disclosed by the invention, the operation burden of the cloud computing center can be reduced.

The invention discloses a driver abnormal posture monitoring method based on reinforcement learning. The method comprises the steps that after a driver driving video is acquired, driver face key points and skeleton key points which are far smaller than image pixel points in number are extracted through an OpenPose system, meanwhile, the face key points are subjected to spline interpolation for three times to construct face characteristics, and driver identity recognition is carried out. According to the key frame extraction method, based on a reinforcement learning mode, a corresponding rewardis obtained through an attitude detection model, and an action value function is updated according to each action of the reward and an attitude until a stable key frame extraction strategy suitable for each driver is obtained. Based on the driver dynamic behavior with time and space changes, a machine learning algorithm is used for training to obtain a posture detection model. And a safety earlywarning mechanism with a guiding property is established in combination with a protection motive theory. According to the invention, the real-time performance and accuracy of detection are improved, and the reliability of safety early warning is enhanced.

The invention discloses an underwater double-arm cooperating grabbing, holding and collision preventing integrated method and system, and belongs to the field of underwater operation automatic control. Based on the original task trajectory planning of double-arm cooperative work, it is put forward that three areas different in collision probability are divided on the basis of the work space of double mechanical arms, trajectory planning is preferentially carried out on the area low in collision probability, when it is necessary to pass through the area high in collision probability, the trajectory is divided into multiple small-section paths through an interpolation method, and collision judgment and collision preventing planning are carried out before the motion of each small section is executed; the motion of the small-section paths is updated according to collision preventing planning, and therefore collision risks are subjected to preventive control on the premise of not interfering with normal execution of original tasks. According to the method and system, preventive motion collision prevention of the mechanical arms can be carried out while the operation trajectory is planned; and according to the integrated method, underwater mechanical arm collaborative operation and motion collision prevention are unified, and certain practical value and development potential are achieved.

The invention provides a cross-platform algorithm testing method and a system thereof. The method comprises steps: after a user logs on a testing client, if the testing authority is verified to be passed, the testing client obtaining a testing task corresponding to the user ID from a Web server, a test case and test data for the user to select; obtaining the test task selected by the user, as a target test task, the target test data and the target test platform corresponding to the target test task being obtained for any target test task, the target test instructions corresponding to the target test task being generated, and the target test data and the target test instructions being sent to the target test platform for testing; receiving the test results reported by each target test platform, and making statistical analysis on all the test results. The method and the system can support a plurality of platforms and a plurality of algorithms, and can dynamically expand and adapt to newrequirements. To a certain extent, it reduces the burden of operation and storage of the test platform, and is conducive to the sharing of resources among the test platforms.

The invention discloses a robot positioning system and a reflection device identification method thereof. The robot positioning system comprises a mobile robot and at least two reflection devices. The robot is provided with a laser emitting device and a laser receiving device. The reflection devices can reflect received laser, each reflection device is provided with reflection members, and the reflection devices have different numbers of reflection members. When laser emitted by the laser emitting device scans any reflection device, the laser receiving device outputs a signal every time the laser receiving device receives reflected laser of the reflection device, and the robot can directly determine which reflection device is currently scanned according to the number of received signals. According to the technical scheme provided by the invention, the robot can rapidly identify the reflection devices in the movement process so that the coordination position of the robot can be determined by utilizing the reflection devices, the operation load of a processing system is mitigated, and the positioning error of the robot is reduced.

The invention discloses a permanent magnet synchronous motor flux linkage prediction control method taking optimal duty ratio modulation into account, wherein a flux linkage vector effective value minimization principle is introduced into duty ratio calculation of a fundamental voltage vector, and in combination with a voltage vector filtering method, torque and flux linkage ripple can be restrained effectively while calculation time of a processor is reduced, and reliability and steady-state performance of a system are improved. Firstly, torque increment is converted into load angle increment, control targets are unified to be a stator flux linkage vector; then, fundamental voltage vector filtering is executed according to a dead-beat thought, and under the premise of reducing alternativevectors, working time of an effective voltage vector can be calculated quickly; thus, the duty ratio of the voltage vector can be calculated according to the flux linkage vector effective value minimization principle, the selected voltage vector and the vector duty ratio are determined according to combined error of the flux linkage vector, and torque and flux linkage ripple can be restrained effectively.

The invention provides an active damper which improves the stability of the inverter grid-connected system and can be adjusted in power, the active damper is connected in parallel with a plurality ofinverter grid-connected systems at a common coupling point, comprises a power output circuit and a control circuit, A power output circuit outputs a three-phase grid-connected current, the control circuit detects the three-phase PCC voltage, The harmonic content in the target frequency range is extracted, and the active damper is made to simulate the resistance characteristics in the control bandwidth by the feed-forward compensation unit in the static coordinate system, so as to damp the oscillation caused by the instability in the grid-connected inverter system and improve the stability of the whole system. At the same time, the active power and reactive power of the grid-connected current are controlled directly in the synchronous coordinate system. The active damper can stabilize the system quickly and effectively when the grid-connected system is unstable while the active power and reactive power are controlled, and it also has good damping effect for the case of multiple resonance points simultaneously.

The device consists of: a mixer used to generate in-phase analog signals based on in-phase carrier signals mixing RF signals; second mixer used to generate orthorhombic phase analog signals based on orthorhombic phase carrier signals mixing RF signals; correction unit used to make compensation for in-phase and orthorhombic phase analog signals by using in-phase, orthorhombic mismatching compensating signals, and to correct in-phase and orthorhombic phase mismatch between in-phase analog signals and orthorhombic analog signals; and arithmetic unit coupling with correction unit used to generate in-phase and orthorhombic phase mismatch compensating signals.

The present invention is continuous precise metal belt measuring X-ray process and equipment. The measurement equipment includes central control processor, arithmetic device, site controller, site display, X-ray high voltage power source, cooling controller; X-ray source, X-ray detector, measurement transducer, C-rack cooler, and constant temperature cooling circulator connected together. By means of the digital control and transmission technology and constant temperature technology, the present invention realizes the long distance transmission of the measurement signals, high measurement precision within 0.1 % and measurement responding time up to 5 ms, and is suitable for continuous stable measurement of metal belt.

The invention relates to a local path planning method for an intelligent unmanned system based on a dual back propagation neural network. For the problem of dynamic obstacle avoidance of the intelligent unmanned system, firstly, an environment model of the operation of the intelligent unmanned system is established; secondly, a kinematics model of the operation of the unmanned system is established; thirdly, the dual back-propagation neural network with a topological structure formed by two back propagation neural networks is designed, the local path planning is carried out, a first back-propagation neural network is properly trained offline, the first back-propagation neural network plays a leading role in the dynamic obstacle avoidance, a second first back-propagation neural network is trained offline to obtain output compensation. Finally, the method can be used for an intelligent unmanned system such as a UAV (unmanned aerial vehicle), an unmanned vehicles and an unmanned ship to avoid static obstacles and dynamic obstacles, for obstacles with constantly changing speeds, the method can perform prediction and avoidance according to previous motion of the obstacles, the number ofdecisions and computational burden of the intelligent unmanned system are reduced, and the collision avoidance performance and efficiency are improved.