32results about How to "Help with training" patented technology

The invention discloses an improved Transformer + CRF-based method for recognizing a named entity of Lambda language, and belongs to the field of recognition of small languages in natural language processing. According to the method, an improved Transformer model is adopted to encode the Lao language, and then a CRF (Conditional Random Field) model is adopted to decode the Lao language to obtain an optimal annotation sequence. The method comprises the following steps: firstly, taking Transformer as a character encoder to carry out character encoding on a single character of the Lambda language; splicing the character-level vector obtained by encoding with a pre-trained word vector and carrying out position encoding; wherein the input signal is used as the input of a Transformer encoding part; through training of a multi-head attention layer and a feedforward neural network layer in sequence, finally, an obtained vector set is input into a CRF model fused with old-age naming and geographical name institution name linguistic features for named entity recognition training, and a named entity recognition model fused with old-age language rules is obtained. Compared with a mainstream BLSTM + CRF named entity recognition method, the recognition effect of the method is improved.

The invention discloses a mixed feature-based fine imaginary action online brain-computer interface method. The method comprises the steps of designing four actions of making a fist, raising the wrists, bending the elbows and abducing the shoulders for different joints of the upper limb on the right side; giving electrical stimulation during prompting of starting through electrodes placed on flexor muscles of the palms, median nerves of the wrists, bicipital muscles of the arms and deltoid muscles, paying selective attention to electrical stimulation positions while imagining the correspondingactions by a testee; effectively fusing event-related desynchronization features of different frequency distribution and electrical stimulation induced steady state somatosensory evoked potential features to form a mixed normal form; by adopting a multi-frequency component spatial filtration-based algorithm, extracting the event-related desynchronization and steady state somatosensory evoked potential features from the mixed normal form, thereby increasing the correct identification rate; and performing mode identification by adopting a multi-classification support vector machine, outputtinga decision value, and feeding back a voice prompt to the testee. The body parts controlled by high-correlation adjacent brain regions can be effectively distinguished; and the method has excellent performance.

The invention relates to an unsupervised medical image segmentation method based on an adversarial network, belongs to medical care informatics, and particularly relates to the technical field of medical image segmentation. According to the technical scheme, the method comprises the following steps: firstly, randomly generating or utilizing a third-party data set to obtain a group of auxiliary masks according to shape prior information, and sending the auxiliary masks and an unlabeled training image into a cyclic consistency adversarial network to generate binary masks; and a discriminator based on variational self-encoding and a generator correction module based on discriminator feedback are utilized to improve the quality of the binary mask. And after the binary mask of the training image is obtained, iterative training is performed by using a noise weighted Dice loss function, so that a final high-precision segmentation model can be obtained. According to the method, the problem that the convolutional neural network needs a large number of manual annotations in the training process of medical image segmentation can be solved, the problems of low performance, poor robustness and the like of an unsupervised segmentation method are solved, and the performance of an unsupervised medical image segmentation algorithm is effectively improved.

The invention discloses a wireless charging system fault evaluation method and system. The evaluation method comprises steps: the wireless charging system is subjected to function model division to build a fault tree, wherein the top event of the fault tree is that the wireless charging system can not perform charging, and the bottom event is a specific fault reason for each subsystem; the probability of occurrence of the bottom event is quantified according to preset data; according to the probability of occurrence of the bottom event, the critical importance of the bottom event is calculated, and according to the critical importance of the bottom event, fault of the wireless charging system is comprehensively evaluated, wherein a fault type is divided in the case of comprehensive evaluation, a different priority coefficient is given respectively, the comprehensive importance of the bottom event with the priority coefficient is calculated, and fault of the wireless charging system isevaluated according to the comprehensive importance. Thus, a fault generation reason can be quickly and automatically analyzed and evaluated, the fault information is more intuitive, a fault maintenance person can be trained, and the maintenance cost is reduced.

The invention discloses a rehabilitation training instrument for vision correction. The rehabilitation training instrument comprises a rack, a training cavity is formed in the rack, and a motion cavity is communicated with the lower portion of the training cavity; a vision training device is arranged in the motion cavity, sight distance adjustment devices are arranged at the left and right sides of the motion cavity and used for adjusting the shortest and longest distances of a lamp panel, and an eyepiece switching device is arranged at the upper side of the left wall of the rack. According tothe rehabilitation training instrument, the most proper training state can be adjusted according to the vision intensity of a person, an eyepiece can be adjusted and switched, rehabilitation trainingonly on a single eye or rehabilitation training simultaneously on double eyes can be selected according to the will, and the rehabilitation training instrument is comfortable and convenient to use and more beneficial to eye muscle training and vision correction.

The invention discloses a piano teaching finger training device, and mainly relates to the field of piano practice tools. The training device comprises clamping mechanisms, a guide rail mechanism anda supporting mechanism; the two clamping mechanisms are symmetrically arranged at the two ends of the guide rail mechanism and used for being clamped at the two ends of a piano, the supporting mechanism slides left and right on the guide rail mechanism, and the supporting mechanism comprises an arc-shaped cushion body capable of sliding up and down and a compression spring capable of pushing the arc-shaped cushion body upwards. The invention has the beneficial effects that the device can play a role in alerting and standardizing actions, does not interfere with the control of rhythm, and doesnot injure the wrist.

A real-time embedded server system for controlling, in real-time, at least one infusion pump. The embedded server system includes an embedded server including a memory and a processor electrically coupled to the memory and configured to implement a control engine configured to issue control commands to at least one infusion pump, a messaging engine configured to issue messages to and receive messages from at least one infusion pump, an aggregation engine configured to aggregate data related to the operation of the at least one infusion pump, and a networking engine configured to control network access of the embedded server and the at least one infusion pump. A patient care system including at least one embedded server controlling device configured to make patient-specific care decisions and an associated network of devices operably coupled to a patient and configured to be controlled by the at least one controlling device.

Systems and methods for inspecting a device are disclosed. The method includes arranging the device in a known position relative to a plurality of movable cameras (32, 34). The plurality of movable cameras are mounted on a controllable actuator (36, 38). The plurality of cameras are pointed at the device by controlling the controllable actuator to position the camera with a user interface. A computing device (40) renders a virtual image from a CAD model of the device with a computing device. An image of the device generated by the camera is displayed on a display (44). The computing device also causes the rendered virtual image of the device to be displayed on the display. The camera images and the rendered images can be displayed side -by- side, in an overlay fashion or both.

The invention discloses a semi-supervised learning method special for performing cell nucleus segmentation on a histopathological image dyed by hematoxylin eosin. According to the cell nucleus segmentation method provided by the invention, according to the characteristics of the histopathological image and cell nucleus segmentation, the two dyes of hematoxylin and eosin in the histopathological image are separated by adopting non-negative matrix factorization with sparse constraint, and then the eosin dye in the histopathological image is replaced by the eosin dye in other histopathological images, so that the segmentation efficiency of the cell nucleus is improved. Therefore, a group of positive example samples can be prepared, and the positive example samples have the same hematoxylin staining agent, so that the positive example samples have interpretable invariance. And inputting the multiple groups of positive example samples into an encoder, and outputting a corresponding embedded representation vector by the encoder. And constraining the model by adopting a contrast learning loss function, so that the model can learn invariance in a positive example sample, namely the hematoxylin staining agent. The hematoxylin stain can stain the cell nucleus and other nucleic acid-rich parts, such as ribosome, so that the hematoxylin stain and the cell nucleus have relatively high correlation. When the model learns the characteristics of the hematoxylin stain, the characteristics accord with the characteristics of a cell nucleus segmentation task, so that the training of the downstream cell nucleus segmentation task is facilitated. As positive example sample construction and pre-training do not need labels, a large amount of unlabeled data can be utilized for training in the mode. And finally, the pre-trained encoder is added into the segmentation model, and fine adjustment is performed on a very small amount of labeled data, so that an effect better than supervised learning on a small amount of samples can be achieved. Therefore, the demand of annotation data is also reduced, and the labor cost is greatly reduced.

The invention discloses a neural network method for solving a differential equation, and the method comprises the following steps: (1), carrying out the sampling of data of each dimension in a definition domain, and obtaining a trained overall data set; (2) automatically adjusting the training data in each round to obtain the training data of each round; (3) constructing a physical information neural network according to the condition of the differential equation, and solving the differential equation; regression calculation is carried out on parameters of the network for multiple times in a neural network solving differential equation, and each regression calculation is called as a round. According to the technical scheme, the distribution of the obtained data points in the definition domain range is more characteristic in a hierarchical data sampling mode through the normal distribution cumulative density function, and sampling across definition domain boundary points not only facilitates training of the data points near the network boundary, but also facilitates training of the data points near the network boundary. The method also has better solving precision in conditions such as a periodic boundary, and effectively improves the overall training precision of the network.

The invention relates to a nuclear power simulation technology, and provides a neutron counting system and method for a nuclear power plant analog machine. The system and the method are applicable to full-range analog machine environment of a nuclear power plant. The system comprises a source range detector, a general control platform and an audio visual counting module, wherein the source range detector is used for converting neutron flux signals into neutron counting signals by utilizing a linear interpolation method and sending the neutron counting signals, the general control platform comprises a control plate card, is used for receiving the neutron counting signals and converting the neutron counting signals into on-off signals, generates on-off electric pulse signals according to the on-off signals and outputs the on-off electric pulse signals, and the audio visual counting module comprises a loudspeaker and is used for generating neutron impact sound according to the on-off electric pulse signals. The system and the method has the advantages that the practical nuclear power plant environment is simulated, the function of the practical source range detector is simulated, in addition, the simulated neutron impact sound is given out, and the relevant training can be favorably realized on technicians.

The invention discloses a rolling bearing fault identification method based on the combination of an SPA map and ResNet, and the method comprises the steps: firstly decomposing an original signal intoa trend term and a detrend term which are greatly different through an SPA method, converting the obtained trend term and detrend term into a color map through the combination of the original signalterm, and finally achieving the fault type identification through a ResNet network model, under the condition that bearing fault information is extracted as much as possible, component items being greatly reduced, and meanwhile, extracting deep bearing fault information through deep ResNet, so that the rolling bearing fault recognition efficiency and accuracy are improved.

The invention provides an upper entry type barrel tennis ball ejection device and a method thereof. The controller controls the motor to drive the rotating shaft to rotate and the rotating shaft to drive the baffle to rotate. The tennis balls in the storage bin enter the independent space one by one in the process of the baffle rotating. With the baffle rotating, the tennis balls are sent into theball outlet channel, and the tennis balls pass through the ball outlet channel and connect the channel to the ballistics. The controller controls the spring in the spring compressor to eject. In thespring ejection process, the emitter ejects and pushes the tennis ball to be launched. The tennis learners strike back according to the direction of the tennis ball, and hit back the ball to the baffle. After the tennis ball is fired, the controller controls the spring in the compressor to return to the spring compressor and wait for the next tennis ball to be fired. The stiffening barrel type tennis ejection device provided by the invention has the advantages of simple structure and convenient use, is helpful for tennis learners to carry out training, improves the training effect and tennis skills of tennis learners, fully exercises the reaction ability of athletes, and lightens the work intensity of coaches at the same time.

The invention discloses an intelligent ball picking robot which comprises a detection device, a moving device, a picking device and an electric energy storage device. The detection device, the pickingdevice and the electric energy storage device are all arranged on the moving device. The detection device comprises a camera which is arranged on the moving device through a supporting rod, and the camera is obliquely aligned to the front of the moving device. A direct-current motor and a motor driving plate are arranged on the moving device, PWM speed regulation is conducted through the motor driving plate to control the direct-current motor to rotate, and the moving device is controlled to advance or retreat or turn corner. The picking device comprises a mechanical arm base 7, a mechanicalarm and a steering engine driving plate. The steering engine driving plate is used for driving the mechanical arm to move, the steering engine driving plate is arranged at the position away from the mechanical arm base, and the tail end of the mechanical arm reaches a certain position in space through motion planning. According to the intelligent ball picking robot and the mechanical arm control method thereof, an autonomous intelligent ball picking mode is adopted, object searching, moving, grabbing and framing are achieved, the device is simple, the grabbing range is wide, and small balls inall directions can be grabbed.

The invention discloses an intelligent ball-picking robot comprising a detection device, a moving device, a picking device and an electric energy storage device; the detection device, the picking device and the electric energy storage device are all arranged on the moving device. The detection device includes a camera, which is set on the mobile device through a pole, and the camera is obliquely aligned with the front of the mobile device; the mobile device is provided with a DC motor and a motor drive board, and the motor drive board is used to control the rotation of the DC motor through PWM speed regulation. The mobile device advances, retreats or turns; the pick-up device includes a mechanical arm base 7, a mechanical arm and a steering gear drive plate, the steering gear drive plate is used to drive the movement of the mechanical arm, and the steering gear drive plate is arranged at a distance from the mechanical arm base. Plan to get the end of the robotic arm to a certain location in space. The invention adopts an autonomous intelligent ball picking mode to realize object finding, moving, grabbing, and framing. The device is simplified, the grabbing range is wide, and small balls in all directions can be grabbed.

The invention discloses an automatic feeding device for a large pet dog, and relates to the technical field of pet feeding. The automatic feeding device for the large pet dog comprises a shell component, the shell component comprises a foodstuff placing bin and a cover plate, a foodstuff outlet is formed in the lower end of the front side face of the foodstuff placing bin, a foodstuff containing bin is fixedly connected to the foodstuff outlet in the lower end of the front side face of the foodstuff placing bin, an inclined plate is fixedly connected to the inner wall of the foodstuff placingbin, the height of the front end of the inclined plate is lower than that of the rear end, and a baffle plate is slidably connected to the inner wall surface of a front side plate of the foodstuff placing bin. The automatic feeding device solves the problems that most existing pet automatic feeding devices are internally provided with electric devices such as electric timing devices or control systems, when large pet dogs are fed, due to the fact that the large dogs like to bite objects, if a power line of the automatic feeder is bitten off by the large dogs, the automatic feeding function canbe lost, and the risk of electric shock possibly occurs when the power line is bitten off.

The invention relates to the technical field of false teeth, in particular to a zirconium oxide all-ceramic data processing method and system based on big data, and the method comprises the steps: obtaining false tooth modeling data, and obtaining tooth feature data from the false tooth modeling data; obtaining bad tooth feature data from the tooth feature data, and constructing a bad tooth recognition model according to the bad tooth feature data; when a tooth image to be recognized is obtained, inputting the tooth image to be recognized into a preset bad tooth recognition model; and acquiring a bad tooth recognition result corresponding to the tooth image to be recognized from the bad tooth recognition model. The method and the device have the effect of improving the utilization rate of the data obtained when the false tooth is manufactured.

The invention relates to a fixed-point targeting device for volleyball training. The device comprises an annular frame and a balance weight base; the annular frame and the balance weight base are fixedly connected through a plurality of supporting rods; a buffer plate is fixedly connected to the inner side wall of the annular frame; a plurality of through holes are formed in the outer side wall ofthe buffer plate; and ball hitting column blocks are fixedly connected to the inner side walls of the through holes. According to the fixed-point targeting device, under mutual cooperation of the annular frame, the buffer plate, the ball hitting column blocks, ball entering grooves, a movable rod, a return device and a connecting mechanism, the multiple ball entering grooves are formed in the buffer plate; a volleyball player can hit volleyballs into the ball entering grooves; the return device can extrude the volleyballs entering the ball entering grooves; and the annular frame is verticallyarranged on a field, the observation of the volleyball player can be facilitated. The device is simple in structure; and the number of fixed-point ball hitting targets is large, so that the trainingof the volleyball player can be effectively assisted.

The invention discloses a counting simulation system and method for neutron fluxes of a nuclear power plant. The system comprises a simulator, a simulation computer and a main control room neutron flux loudspeaker, wherein the simulator is used for generating numerical values of actual neutron fluxes of the nuclear power plant in the full range, the simulation computer is connected with the simulator and used for collecting the numerical values of the neutron fluxes needing to be simulated from the numerical values of the actual neutron fluxes of the nuclear power plant in the full range and converting the numerical values of the simulated neutron fluxes into corresponding audio signals according to a relation table of the numerical values of the neutron fluxes and audio signals, and the main control room neutron flux loudspeaker is connected with the simulation computer and used for receiving and playing the audio signals. The system can achieve counting function simulation of the neutron fluxes to the maximum extent and is contributed to training of related technicians.

The invention discloses a pelvic floor muscle contraction exerciser for postpartum recovery of a pregnant woman, which comprises a bottom plate for overall supporting and fixing, two clamping arms for clamping legs of a user are arranged above the bottom plate, and the opposite ends of the two clamping arms are provided with through holes and are slidably connected with a limiting cross rod through the through holes; the vertical section, away from one end of the bottom plate, of a first support penetrates through the limiting cross rod and is fixedly connected with the limiting cross rod. Through the cooperative use of the structures, the problems that in the actual use process, traditional pelvic floor muscle training is mostly passive training, for example, pelvic floor muscle training is achieved by applying pressure through an external instrument, or pelvic floor muscle training is achieved through electrical stimulation, the stimulation feeling of passive training on pelvic floor muscle is not strong enough, the growth and recovery of muscles are slow, and the overall physical quality of the postpartum pregnant woman is difficult to improve due to single pelvic floor muscle training are solved.

The invention discloses a counting simulation system and method for neutron fluxes of a nuclear power plant. The system comprises a simulator, a simulation computer and a main control room neutron flux loudspeaker, wherein the simulator is used for generating numerical values of actual neutron fluxes of the nuclear power plant in the full range, the simulation computer is connected with the simulator and used for collecting the numerical values of the neutron fluxes needing to be simulated from the numerical values of the actual neutron fluxes of the nuclear power plant in the full range and converting the numerical values of the simulated neutron fluxes into corresponding audio signals according to a relation table of the numerical values of the neutron fluxes and audio signals, and the main control room neutron flux loudspeaker is connected with the simulation computer and used for receiving and playing the audio signals. The system can achieve counting function simulation of the neutron fluxes to the maximum extent and is contributed to training of related technicians.