60results about How to "Make up for the impact" patented technology

The invention provides a multi-parameter-based intracranial pressure noninvasive detection method and device. The method comprises the following steps of: pre-establishing an intracranial pressure evaluation function model for recording a function mapping relation between the change of the intracranial pressure and the changes of an electrocardiosignal, a visual evoked potential signal, a brain impedance signal and a transcranial Doppler ultrasonic signal and setting in a computer; and synchronously acquiring the electrocardiosignal, the visual evoked potential signal, the brain impedance signal and the transcranial Doppler ultrasonic signal into a computer and inputting the signals serving as the intracranial pressure evaluation function model to obtain the dynamic change process waveform of the intracranial pressure of an inspected object by performing multi-parameter and multi-direction operation. Due to the adoption of the method, invasive intracranial pressure detection is avoided; the device for implementing the method is easy to obtain; and meanwhile, various physiological and pathological signal parameters causing the change of the intracranial pressure are considered comprehensively in the intracranial pressure evaluation function model, so that the intracranial pressure noninvasive detection method has higher clinical detection accuracy.

The invention discloses a film editing and selecting auxiliary instrument and a realization method both based on characteristics of an electroencephalogram signal. The instrument mainly includes an electroencephalogram signal acquiring device, an electroencephalogram signal processing device, an electroencephalogram signal analyzing device and an output response device, wherein the electroencephalogram signal acquiring device comprises a plurality of brain region electrodes and is used for acquiring the electroencephalogram signal of a user watching a movie; the brain region electrodes are connected with an amplifier in the electroencephalogram signal processing device; the electroencephalogram signal processing device, the electroencephalogram signal analyzing device and the output response device are connected in sequence; and the final result is displayed on a liquid crystal display screen of the output response device. The film editing and selecting auxiliary instrument can be used in film production process for editing films, can be used for grading the contents of the films, and can select the films for an individual. Through acquiring the electroencephalogram signal of a spectator for evaluating the contents of the films, the influence of subjective experiences can be overcome, and the evaluation result is enabled to be more objective.

The present invention discloses a multi-time-scale active-reactive control method for a multi-source coordinated active distribution network. The method comprises the following steps: (1) wind power,photovoltaic and load power sequences are predicted; (2) uncertain sampling of the source-load prediction error is performed to obtain a scene set covering the entire sampling space; (3) the scene isreduced by the synchronous back substitution reduction technology and a typical scene set is obtained; (4) in a long-time-scale scheduling phase, a control solution for adjusting the device with a limited adjustment times and the charge and discharge state of energy storage are obtained; (5) in a short-time-scale scheduling phase, scheduling instructions for quickly continuously adjusting devicesare solved; (6) in a real-time control phase, the adjustable devices are sequentially adjusted based on the sensitivity analysis of the node voltage so that the safe and stable operation of the powernetwork is ensured. By using the method of the present invention, the coordinated optimization operation of the adjustable devices in the active distribution network and full consumption and efficientutilization of the renewable energy can be realized.

The invention discloses a method for detecting characters in a complex natural scene image, belongs to the field of computer vision and pattern recognition, and relates to the technical field of neural networks and computer vision, in particular to a method for realizing character detection in a complex scene based on deep learning. The character detection method based on character annotation andthe character detection method based on word annotation are fused, the combined characteristics between characters are learned, the false detection rate of the characters can be reduced, the redundancy of a detection box is reduced, and the method has the capacity of flexibly coping with the characters of any shape. The invention discloses a character detection method in a complex scene. The method comprises the following steps: preprocessing image data, constructing a network framework, pre-training a model, and training the network framework; and generating the character real label, inputting a character image to be detected in a natural scene, carrying out feature extraction, carrying out image judgment and using a character correction module.

The invention relates to a dynamic thermal protection performance testing and evaluating device, and belongs to the technical field of occupational safety and health. The dynamic thermal protection performance testing and evaluating device is used for fixing fabric to be tested so as to test the fabric to be tested, and comprises a support, a dynamic human body simulating device arranged on the support and used for fixing the fabric to be tested and promoting the fabric to be tested to deform, and a disaster source and a heat flux sensor which are oppositely arranged on the two sides of the dynamic human body simulating device, and a data acquisition and program control system in signal connection with the heat flux sensor, wherein the dynamic human body simulating device comprises a human body simulator propped against the fabric to be tested and a stretching device at least clamped at one end of the fabric to be tested; the human body simulator comprises a propping wall propped against the fabric to be tested; the propping wall and the disaster source are oppositely arranged on the two sides of the fabric to be tested; the fabric to be tested and the heat flux sensor are oppositely arranged on the two sides of the propping wall; the dynamic thermal protection performance testing and evaluating device further comprises a dynamic air layer changing device for driving the heat flux sensor to move relative to the propping wall.

The invention discloses a reamer used for machining discontinuous holes. The discontinuous holes comprise hole central axes and hole walls provided with hole wall discontinuous parts and solid parts, the hole wall discontinuous parts define central angles of the hole wall discontinuous parts with respect to the hole central axes, the reamer comprises a rigid reamer body which defines the central axis of the reamer, at least three tooth-shaped bases which are formed by extending the reamer body and parallelly arranged at intervals, and polycrystalline diamond blades which are respectively fixed on each tooth-shaped base in a corresponding mode. Each polycrystalline diamond blade comprises a cutting edge located at axial remote end and a sleeking edge connected with the cutting edge, blade central included angles which are the same with the blades in number are respectively defined between the sleeking edges of adjacent blades with respect to the central axis of the reamer, the blade central included angles are not equant, and the difference between the largest central included angle and the smallest central included angle is greater than to equal to the central angles of the hole wall discontinuous parts.

The present invention provides a pressure sensor test system. The system comprises a pressure base, a pressure controller, a high and low-temperature box, a programmable resistance cabinet, a multimeter and an industrial personal computer; the pressure base is used for applying reference pressure onto a plurality of pressure sensors; the pressure controller is used for providing target pressure required by testing; the high and low-temperature box is used for providing reference temperature required by testing; the programmable resistance cabinet is used for performing resistance compensationon the test pressure sensors; the multimeter is used for testing the voltage, current and resistance of the test pressure sensors; and the industrial personal computer is used for controlling the pressure controller, the high and low-temperature box and the programmable resistance cabinet. When the pressure sensor test system is used for testing the pressure output characteristics of the pressuresensors; when the reference temperature is relatively high, the programmable resistance cabinet can output resistance to compensate the resistance of the pressure sensors, so that influence of high temperature on the pressure sensors can be offset; and the switching of the plurality of pressure sensors is realized through a multiplexer, so that the test of the plurality of pressure sensors can berealized. The system is suitable for the test work of mass-produced pressure sensors.

The invention discloses a bearingless permanent magnet synchronous motor prediction controller and a construction method in the field of power drive control equipment. An output end of a Clark converter is connected to input ends of a torque winding flux linkage and torque initial observation module and a suspension force winding flux linkage initial observation module separately; the output end of the suspension force winding flux linkage initial observation module is connected to the input end of a suspension force winding flux linkage prediction module; the output end of the suspension force winding flux linkage prediction module is connected to the input end of a suspension force observation module; the output end of the torque winding flux linkage and torque initial observation module is connected to the input ends of a torque winding flux linkage and torque prediction module and a torque and voltage conversion module separately; and the output end of the torque winding flux linkage and torque prediction module is connected to the input ends of the suspension force observation module, the torque and voltage conversion module and a suspension force and voltage conversion module separately. Values of flux linkage, torque and suspension force in the next period are predicted through the flux linkage and the torque in a current sampling period, so that the problem caused by time delay is solved.

The invention discloses a graph neural network traffic flow prediction method based on multivariate time sequence interpolation, and the method comprises the steps: describing the topology between stations in a traffic network through a weighted graph, and enabling the inflow and outflow of traffic to serve as the characteristics of station nodes; constructing a traffic flow graph according to the inflow and outflow conditions of each station; interpolating the missing value by using a graph neural network; obtaining a spatial feature sequence through a graph attention network; capturing the dynamic correlation between different times through time attention, and then capturing the time characteristics by using the long and short-term memory network to obtain the traffic flow characteristics as the prediction result. The method can eliminate the influence caused by the missing of the time-space relation data in the traffic flow prediction, overcomes the data missing possibly occurring in the practical application, and achieves the long-term prediction of the traffic flow.

The invention discloses a semiconductor structure and a formation method thereof. The method comprises the steps of providing a substrate, a fin portion and channel laminations located on the fin portion, wherein each channel lamination comprises sacrificial layers and channel layers, if the number of the channel laminations is two, the sacrificial layer close to the top of the channel laminationis a first sacrificial layer, the remaining sacrificial layer is a second sacrificial layer, and if the number of the channel laminations is greater than or equal to three, at least one sacrificial layer close to the top of the channel lamination is a first sacrificial layer, and the remaining sacrificial layers are second sacrificial layers; forming a pseudo gate structure; etching the channel lamination layers on two sides of the pseudo gate structure to form grooves; etching part of the first sacrificial layer exposed out of the groove to form a first trench; forming a first barrier layer in the first trench; etching part of the second sacrificial layer exposed out of the groove to form a second trench, wherein the depth of the second trench is greater than that of the first trench; forming a second barrier layer in the second trench; forming a source-drain doping layer in the groove; and forming a metal gate structure at the positions of the pseudo gate structure, the remaining first sacrificial layer and the remaining second sacrificial layer. The forming quality of the metal gate structure is improved according to the invention.

The invention discloses a small sample learning method for external memory and meta-learning based on attention guidance, and belongs to the field of small-sample learning methods. According to the small sample learning method for external memory and meta-learning based on attention guidance, an inference network, an attention mechanism and a memory mechanism are combined for the first time; smallsample learning is carried out based on a meta-learning framework; an attention mechanism and an external memory mechanism are combined as a priori knowledge memory; a meta-learning framework and variational reasoning are combined to construct a recognizer; a priori knowledge memory combining an attention mechanism and external memory is effectively utilized; the influence caused by small samplesis compensated; moreover, by jointly learning an embedded function, mapping the representation to a potential space, storing the potential space as a value in an external memory, taking the content in the external memory as priori knowledge, and selecting similar knowledge from the external memory when a small sample arrives, the performance of the classifier under the small sample is improved.

The invention discloses a tensioning device. The tensioning device comprises a mounting base, a guide sleeve, a guide post, a tensioning wheel, a sliding block and a spring. The mounting base is used for being mounted on body equipment. The guide sleeve is vertically arranged on the mounting base. The guide post is arranged inside the guide sleeve and can move vertically along the guide sleeve. The tensioning wheel is arranged on the guide post and used for making contact with cloth. The sliding block is used for sliding horizontally on the mounting base to get close to or keep away from the guide sleeve. The spring is horizontally arranged to abut against the sliding block in the direction towards the guide sleeve. The sliding block is provided with an oblique plane with the angle of inclination capable of being adjusted. The guide post is provided with a guide part which stretches out of the guide sleeve and travels on the oblique plane, so that the oblique plane forces the guide part to drive the guide post to move vertically. According to the tensioning device, the equivalent elasticity coefficient of the spring can be changed by changing the angle of inclination of the oblique plane, and thus different tension ranges including the high range or the low range can be provided; and moreover, the influence on the elasticity coefficient due to failure of the spring can be reduced by adjusting the angle of inclination.

The invention discloses a method and device for improving the tritium value-added rate of a fusion reactor. The method comprises the following steps: acquiring a fusion reactor divertor geometric configuration, a vacuum chamber and cladding interface, a divertor teleoperation maintenance strategy, a divertor material route map and divertor load input; determining a divertor basic structure model; wherein the divertor basic structure model weakens the neutron shielding capability of the divertor on the premise that components meet the structural strength, and a target plate component structure model is determined; determining a hybrid divertor cladding final structure model, wherein a shielding block mounted between the divertor and the vacuum chamber is canceled; and determining the tritium value-added rate increasing quantity. The device comprises a bottom cladding, an outer target plate component, a Dome component and an inner target plate component, and the outer target plate component, the Dome component and the inner target plate component are directly connected with the bottom cladding. According to the invention, the tritium production area of the cladding is expanded, and the tritium increment rate of at least 0.04 can be expected to be improved through numerical simulation evaluation, so that the influence of a heating and diagnosis system on cladding opening can be made up.

The invention belongs to the technical field of charging management, and discloses a constant-current charging circuit for a super capacitor. The circuit comprises a charging power supply, the charging power supply is connected with the super capacitor through a constant-current unit, and the constant-current unit comprises an enabling trigger module and a resettable fuse PPTC which are connected together. The two ends of the super capacitor are further connected with a voltage detection module in parallel, the voltage detection module is used for detecting voltage signals at the two ends of the super capacitor, the voltage detection module, the enabling trigger module and the temperature detection module are all connected with the processor, and the temperature detection module is used for detecting the environment temperature; the processor is used for controlling the resettable fuse PPTC to enter a high-resistance state through the enabling trigger module according to the received environment temperature and voltage signals, and constant-current charging of the super capacitor is carried out.

The invention discloses an electric bicycle charging shed based on intelligent integration and a control method, the electric bicycle charging shed comprises a dual support mechanism and a protection energy storage mechanism arranged at the top of the dual support mechanism, and the dual support mechanism comprises two support protection mechanisms which are symmetrically arranged and used for parking electric bicycles; the protection energy storage mechanism comprises two photovoltaic energy storage mechanisms symmetrically arranged at the tops of the two supporting protection mechanisms, and a temperature sensing protection mechanism is fixedly installed between the two photovoltaic energy storage mechanisms. By dividing the electric bicycle placing areas, the situation that the electric bicycles are placed disorderly is avoided, convenience is brought to charging of users, the electric energy source of the charging shed is enriched, the pricing of the charging price is reduced, the influence of electricity price fluctuation on the charging price is made up, and the charging efficiency is improved. The charging prices in different public places and communities are consistent, and high safety is achieved.

The invention discloses a tensioning device. A sliding block of the tensioning device is provided with a slope with the inclination angle being adjustable. A guiding column is provided with a guiding part which extends out of a guiding sleeve and travels on the slope, so that the slope forces the guiding part to drive the guiding column to move vertically, and a tensioning wheel is driven to move. An equivalent elastic coefficient of a spring is changed by changing the inclination angle of the slope, thus, different tension ranges, namely the high range or the low range, are provided, and the defect that the spring fails and consequently the elastic coefficient is influenced can be overcome by adjusting the inclination angle; and changes of tensile caused by pressure changes between transmission rollers are adjusted through an adjusting mechanism, so that the tensile is basically kept constant.