34results about How to "Flexible training" patented technology

Embodiments of the invention provide a task scheduling method and apparatus, an electronic device and a computer readable storage medium. The method comprises the steps of obtaining a target task queue, wherein the target task queue is a task queue comprising at least one to-be-scheduled task; and sequentially scheduling the to-be-scheduled tasks in the target task queue according to the sequenceof the priorities of the to-be-scheduled tasks in the target task queue from high to low. According to the embodiment of the invention, task scheduling of different priorities can be supported, so that flexible task priority scheduling can be realized, and the flexibility of task scheduling is improved.

The invention discloses a method, a system and a medium for generating registered multi-modal MRI with focus segmentation tags. The method comprises the following steps: acquiring a random matrix in normal distribution, inputting the random matrix into a trained structural feature decoder in a generative adversarial network, and decoding to generate a structural feature map; fusing the structuralfeature map and the randomly selected focus segmentation label map through random input to obtain a fusion result, and inputting the fusion result into a trained random encoder in the generative adversarial network to obtain a code; and inputting the code into a decoder of each mode trained in the generative adversarial network, and respectively generating registered multi-mode MRI. The generatorin the generative adversarial network is modularized into the encoders and the decoders, through combined training of the encoders, the decoders and the discriminators, random input conforming to design specifications can be received, then a set of registered multi-mode MRI images with focus segmentation tags are generated, and the method can be widely applied to the field of medical images.

This invention provides a lower-limb off-axis movement training apparatus, which is mounted on the movement part of a sagittal plane exercise machine and allows the user to perform off-axis movement training during sagittal plane functional movements. The said apparatus for the lower limb off-axis training consists of a base, an off-axis movement generating part mounted on the base, and a foot container supported by the off-axis movement generating part. The said off-axis movement generating part comprising at least one of the following two: (1) off-axis pivoting generating part, which generates the pivoting movement of the foot container; (2) off-axis sliding generating part, which generates the sliding movement of the foot container. A feedback training system including the said training apparatus is provided. While the user performs sagittal plane movements of the lower limbs, the said system provides off-axis movement training integrated with the sagittal plane movements. The invented off-axis training apparatus and system can be used to help human subjects improve off-axis and sagittal plane neuromuscular control, reduce the incidence of lower limb injuries and facilitate post-injury rehabilitation.

The invention discloses a solid insulation life prediction method based on transformer related operation data. The method comprises the following steps: 1) obtaining and storing transformer solid insulation life prediction related data; 2) reading related data for numbering; 3) preprocessing the data; 4) obtaining the closest distribution model by using a Monte Carlo method; 5) training the data by using the BP neural network to obtain a prediction model; 6) enabling the BP neural network to perform network initialization; 7) randomly selecting an adjusting parameter by adopting a Monte Carlomethod, and updating the loss function by adjusting a small amount of the parameter; and 8) updating the loss function of the solid insulation life prediction model through a Monte Carlo method to finally obtain life prediction of the line transformer solid insulation, thereby preventing the BP neural network from falling into the dilemma of a local minimum value, and meanwhile, having the advantages of simple structure and flexible training, and effectively improving the accuracy of transformer solid insulation evaluation.

The embodiment of the invention provides a data prediction model training method and device and a storage medium. In the data prediction model training method, an appropriate model can be selected from a plurality of selectable prediction models according to a measurement error index and characteristics of historical data, and a corresponding optimal model is selected for predictable dependent variables and related independent variables needing to be predicted. A comprehensive prediction model may be trained based on the prediction model of the dependent variable and the relationship between the prediction model of the independent variable and the actual value of the dependent variable. The comprehensive prediction model can provide a universal prediction method, can flexibly implement prediction tasks related to various time sequences, and meets various prediction requirements of users.

The invention discloses a touch-screen multifunctional non-human primate animal cognitive-function testing method and belongs to the technical field of animal experiment devices. A touch screen capable of moving back and forth and a water supply nozzle capable of moving vertically are arranged in a testing cage. A monkey raised in a living cage is transferred to the testing cage through a transfer cage, the condition of the monkey in the transfer process is observed through an observation window of the transfer cage, a transfer cage door is in butt joint with a testing cage door after in-place transfer is completed, the transfer cage door and the testing cage door are pulled open, the testing cage door is closed through insertion after the monkey enters the testing cage, the monkey is enabled to complete a task at a natural sitting posture and obtain a drinking water award, an injector containing drinking water or fruit juice is accurately pushed through computer control, and the drinking water or fruit juice award is quantitatively given to the monkey. After the monkey correctly completes a screen touching task, the monkey drinks clear water or fruit juice from the water supply nozzle, and the quantitative relation formula of the height Y from the water supply nozzle to the bottom face of the testing cage and the distance X from the water supply nozzle to the touch face of the touch screen is determined as Y=0.4661X + (26-30), and measurement unit is millimeter.

According to the automatic ball passing control method and device for computer-aided training, the ball passing device can continuously lock a user and randomly transmit the balls to any position point in a circular area with the user as the circle center, the radius, the ball passing frequency and the ball passing mode of the circular area can be set, and different requirements of the user can bemet. According to the device, through the synergistic effect of the input module, the recognition tracking module, the projection module and the analysis control module, dynamic image recognition andtracking are achieved, a moving target is rapidly detected, the target is tracked, the ball passing direction and mode are controlled, and the device is not affected by indoor and outdoor environments and is suitable for professional training and training in other environments.

The invention relates to a shield tunneling machine operator training and evaluating system which comprises an operation training and evaluating unit, a three-dimensional simulation unit, an environment simulation and main control unit, a guide measurement unit and a comprehensive management system. The operation training and evaluating unit is used for being operated by an operator and generatinga corresponding operation signal. And the three-dimensional simulation unit is used for simulating the movement of a shield tunneling machine, displaying a three-dimensional model for simulating themovement state of the shield tunneling machine and driving the three-dimensional model to change according to the operation signal. And the environment simulation and main control unit is used for simulating and displaying the working environment of the shield tunneling machine, controlling the operation training and evaluating unit and receiving an operation signal. And the guide measurement unitis used for feeding back attitude data in the movement process of the shield tunneling machine in real time. According to the system, the shield tunneling machine operator can be trained and evaluated more flexibly and efficiently, the hardware cost can be greatly reduced; and the method has high economic benefits and popularization value.

The invention discloses a high-tension training device for physical education teaching, which comprises a device main body, a vertical rod and a base. One side of the surface of the device main body is fixedly connected with a vertical rod, the bottom of the device main body is fixedly connected with a base, and the top of the device main body is fixedly connected There is a fixed rod, the bottom side of the main body of the device is fixedly connected with the first support rod, the bottom of the lifting rod is fixedly connected with a fixed plate, and the surface side of the main body of the device is fixedly connected with a back board, which can protect the students well. The sponge pad prevents students from getting hurt and feeling uncomfortable. The lighting improves the convenience of the device. The adjustment rod improves the flexibility of the device. The voice reader improves the intelligence of the device. Training The mechanism improves the practicability of the device, the lifting mechanism improves the adjustability of the device, and the counting mechanism improves the versatility of the device. It is suitable for the use of sports teaching equipment and has a wide range of applications in the future. Prospects.

The present invention relates to the field of deep learning image generation, and in particular to a multi-domain image conversion method, system and medium based on conditional generative confrontation networks. Original image y; use a pre-trained condition extractor to produce x modal condition C x and the y-mode condition C y ;The original image x, original image y, x modal condition C x , y modality inputs the pre-trained conditional generative adversarial network to obtain the corresponding image conversion result. The present invention uses a feature extractor to extract the features of the original image, obtains a conditional matrix through upsampling and splicing with the zero matrix on the channel, and retains the semantic information of each modal input in the case of high independence; The invention is flexible in training, has no limit to the number of domains to be converted, and requires few parameters.

The invention discloses a weight-bearing fitness facility and a weight-bearing operation method, which include a guide stand, a guide horizontal frame, a T-shaped frame, a horizontal slide frame and a barbell bar. The guide stand is fixed and erected on a base, and the base Lifting oil cylinders are fixed on both sides, electromagnets are fixed in the middle of the upper and lower parts of the guide horizontal frame, square sleeves are arranged on both sides of the electromagnet, and the T-shaped frame is inserted into the square sleeves And it is adapted to the electromagnet, the guide horizontal frame is provided with a horizontal groove, the horizontal sliding frame is slidably matched with the horizontal groove, the electromagnet is electrically connected with the hand-held sleeve through a wire, and the hand-held sleeve is set On the barbell bar, a switch is arranged on the handle cover. The weight-bearing fitness facility is easy to operate and flexible to adjust. It can meet the training of leg strength and waist strength movements. The athletes do not need to be accompanied by others when performing movements. They can be used alone. The operation is safe and will not cause athletes to lose their strength. use.

An embodiment of the present invention provides a task scheduling method, device, electronic device, and computer-readable storage medium. The method includes: acquiring a target task queue; wherein, the target task queue is a task queue including at least one task to be scheduled ; Scheduling the to-be-scheduled tasks in the target task queue sequentially according to the descending order of the priority of the tasks to be scheduled in the target task queue. The embodiments of the present invention can support task scheduling with different priorities, so as to realize flexible task priority scheduling and improve the flexibility of task scheduling.

The invention discloses a data link network simulation system combined with virtual reality and an implementation method thereof. The data link network simulation system combined with virtual reality includes: a transceiver device, which is used to start control the data link simulation module and control the network Parameters are set; the command guidance and target simulation module is used to generate simulation commands, and is used to set simulated target information and send it to the display and control module; the display and control module includes a screen organization module, a front display device, and a background logic processing module ; The data link simulation module is used to connect the display control system and the transceiver device of the local equipment. The simulation system and the realization method of the invention reduce the training cost, are flexible in realization, and the stability of the network communication system is also enhanced.

The invention belongs to the technical field of information retrieval and its database structure, and discloses a semantic calculation-based classifier construction method and a classifier, which use a neural network model to train word vectors on Wikipedia data to obtain distributed representations of words; through classification The vector representation of the classification is obtained by the label, and the vector representation of the text is obtained by using the weighted average method; the most likely classification of the text is obtained by calculating the semantic relationship between the classification vector and the text vector. The unsupervised learning stage of the present invention does not need to label data, only needs the user to define a small number of feature words to complete the creation of the classifier, the online speed is fast, and there is no need to wait for the long accumulation of label data; the unsupervised learning stage can make full use of the existing limited labels Data, guide and improve unsupervised classification ability by extracting effective feature words.

The invention discloses a martial arts comprehensive training response analyzer and an analysis method, which relate to the technical field of martial arts analysis. An attack system, a positioning system and a control system are set up. Obtain information such as strength and speed, analyze the response ability in turn, and display the analysis results on the display. The martial arts comprehensive training response analyzer and analysis method provided in this application can collect martial arts movements and analyze their reaction ability, so that trainers can obtain objective analysis results and provide scientific basis for their own training.

The invention discloses a touch-screen multifunctional non-human primate animal cognitive-function testing method and belongs to the technical field of animal experiment devices. A touch screen capable of moving back and forth and a water supply nozzle capable of moving vertically are arranged in a testing cage. A monkey raised in a living cage is transferred to the testing cage through a transfer cage, the condition of the monkey in the transfer process is observed through an observation window of the transfer cage, a transfer cage door is in butt joint with a testing cage door after in-place transfer is completed, the transfer cage door and the testing cage door are pulled open, the testing cage door is closed through insertion after the monkey enters the testing cage, the monkey is enabled to complete a task at a natural sitting posture and obtain a drinking water award, an injector containing drinking water or fruit juice is accurately pushed through computer control, and the drinking water or fruit juice award is quantitatively given to the monkey. After the monkey correctly completes a screen touching task, the monkey drinks clear water or fruit juice from the water supply nozzle, and the quantitative relation formula of the height Y from the water supply nozzle to the bottom face of the testing cage and the distance X from the water supply nozzle to the touch face of the touch screen is determined as Y=0.4661X + (26-30), and measurement unit is millimeter.

The invention provides a training and fitness device with a residual force utilization function based on osteoporosis prevention, and relates to the technical field of fitness equipment. The training and fitness device comprises a supporting device, wherein two arm strength training parts are mounted on the supporting device; the bottom of the supporting device is slidably connected with a linkage part; the bottom of the supporting device is fixedly connected with a driving part; the linkage part is fixedly connected with four floating massage parts; the linkage part is fixedly connected with a hip supporting device, and the hip supporting device is slidably connected to the supporting device; and the hip supporting device is rotatably connected with two joint prevention parts, and the two joint prevention parts are slidably connected with blood circulation parts respectively, so that the use is more flexible, the osteoporosis prevention effect is better, training is safer and more relaxed, the training efficiency is improved, and the problem that an existing training and fitness device is large in training intensity, not capable of conducting protective massage, easy to cause secondary injury, low in training comfort and poor in training effect is solved.

The invention discloses a method, system and medium for generating a registered multi-modal MRI with a lesion segmentation label. The method of the invention includes obtaining a random matrix with a normal distribution and inputting the trained structural feature decoding in the generating confrontation network The structural feature map is generated by decoding the device; the structural feature map is fused with the randomly selected lesion segmentation label map through random input to obtain the fusion result, and input into the trained random encoder in the generative adversarial network to obtain encoding; the encoded input is trained in the generative adversarial network A good decoder for each modality generates the registered multimodal MRI respectively. The invention modularizes the generator in the generative confrontation network into an encoder and a decoder, and through the combined training of multiple sets of encoders, decoders and discriminators, it can receive a random input that meets the design specifications and then generate a group of segmentations with lesions The multi-modal MRI image of the label registration can be widely used in the field of medical imaging.