305results about How to "Reduce computing burden" patented technology

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 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 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 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.

The invention relates to an information classification and retrieval system, which comprises a stock name classification database, an index association module and a news index database. The stock name classification database stores at least one stock name classification. The stock name classification also comprises a stock name, a stock code and a stock classification. The index association module is used for analyzing the key words related to stock in the news, finding out the stock classification corresponding to the key words in the stock name classification database, and building the index association between the news and the stock name classification. Afterwards, the news and the corresponding index association are stored in the news index database and the system can find out the consistent news in the news index database and transmit to the user terminal, thus having the advantages of shortening the time for news search, decreasing the calculation load of the user terminal and reducing the data transmission bandwidth.