21results about How to "Increase training difficulty" patented technology

The invention relates to the technical field of training strategy optimization, in particular to an optimization method and system based on a rehabilitation training strategy. The method comprises the following steps: carrying out real-time monitoring on physiology and training performance of a patient in a rehabilitation training process through wearable equipment, and carrying out evaluation analysis on an emotional state and athletic ability to obtain emotional feeling state data and athletic ability data of the patient; performing rehabilitation target prediction analysis according to the emotion feeling state data and the exercise ability data to obtain a prediction target of rehabilitation training of the patient; performing target feedback difference comparative analysis on the predicted target and an expected target to obtain a target difference feedback result; performing strategy optimization analysis on the current rehabilitation training strategy to generate a rehabilitation training strategy optimization scheme; and performing strategy dynamic optimization adjustment on the current rehabilitation training strategy to obtain an optimized rehabilitation training strategy. The rehabilitation training efficiency and effect of the patient can be improved.

The invention provides a live pig facility breeding hog house ammonia concentration detection system based on a neural network, and the system comprises a hog house environment parameter collection module and a hog house ammonia concentration detection module which are connected in sequence. Wherein the hog house environment parameter acquisition module is used for acquiring ammonia gas information, wind speed information, temperature information and humidity information in a hog house; and the pig house ammonia gas correction fusion sub-module is used for correcting the predicted ammonia gas concentration based on the predicted wind speed, the predicted humidity and the predicted temperature. The method analyzes the influence of pig house ammonia gas on pig health, considers the coupling effect of multiple environment parameters of the pig house, provides a temperature, humidity and wind speed correction fusion method of the pig house ammonia gas concentration, and aims to improve the detection precision of the pig house ammonia gas concentration of pig facility breeding.

The invention discloses a defense method oriented to adversarial patch attacks, and the defense method oriented to adversarial patch attacks is realized by designing an adversarial mask generation method and a classification-reconstruction joint training method by utilizing the characteristic that a mask reconstruction task has good feature extraction capability. According to the defense method facing the adversarial patch attack, an image recognition model is divided into a backbone network and a full connection layer which are respectively used for feature extraction and classification prediction, and after a reconstruction model is connected to the backbone network, the reconstruction model is used for receiving image features extracted by the backbone network and reconstructing an image. The connected image recognition model backbone network, the full connection layer and the reconstruction model are generally called as training models. The connection mode does not need to modify the structure of an original image recognition model, only optimizes the weight parameters of the original model, is suitable for deep learning visual models of any architecture, is suitable for models in any training state, and does not need to forcibly train from the beginning.

The utility model belongs to the technical field of child training, and particularly relates to a device for improving the concentration of intellectual disturbance children, which comprises a support frame, the upper end of the support frame is rotatably connected with a turntable I, a containing box is arranged in the support frame, and the upper end of the containing box is rotatably connected with a turntable II; a rotating assembly is arranged between the bottom of the second rotating disc and the containing box, a supporting rod is connected between the first rotating disc and the second rotating disc, a plurality of training assemblies are arranged between the first rotating disc and the second rotating disc, and each training assembly comprises a connecting rod, a cover cup and a placing base. By rotating the training assemblies, the intellectual disability children can observe the rotating positions of the training assemblies with the target objects through the eyes and guess the training assemblies with the target objects, and different target objects can be placed in the training assemblies, so that the intellectual disability children can know the rotating positions of the training assemblies with the target objects; and then, children with intellectual disabilities guess different target objects, so that the training difficulty is increased.

The invention relates to the technical field of intravenous drug configuration teaching, in particular to a teaching system for intravenous drug configuration based on deep learning, which constructs a three-dimensional scene and collects operation data of a user in a virtual environment by acquiring live-action video data of intravenous drug configuration. Through semantic segmentation, an operation track is tracked in combination with a long and short-term memory network, a variable path matrix is generated, an operation score is generated by using a convolutional neural network, wrong operation is identified in time, and real-time feedback is provided. According to the method, training can be carried out only through a computer or VR equipment without depending on a large number of sites and equipment, students are helped to carry out timely correction in each step of operation through model evaluation and real-time feedback, and the operation accuracy and the learning effect are improved. Difficulty gradient adjustment is carried out in combination with scores, it is ensured that the training difficulty is matched with the skill level of students, personalized teaching is achieved, and the teaching effect is improved.

The invention provides a respiratory training method for rapid recovery of lung functions after general thoracic surgery, and belongs to the technical field of medical rehabilitation, the respiratory training method for rapid recovery of lung functions after general thoracic surgery comprises the following steps: performing preoperative evaluation, measuring parameters such as vital capacity, making a personalized training plan in combination with age, basic diseases and operation types, and establishing a personalized training plan for rapid recovery of lung functions after general thoracic surgery; the method is divided into an early stage, a middle stage and a later stage, and abdominal respiration and lip contraction respiration training is carried out in the early stage; in the middle stage, deep respiration and excitation type spirometer training are increased; resistance breathing and breathing exercise training is conducted in the later stage, parameters such as breathing frequency and subjective feeling of patients are closely monitored in the training, the training intensity and method are adjusted according to conditions, accurate training can be conducted according to individual differences of the patients, the lung function rehabilitation efficiency is effectively improved, complications are reduced, and the life quality of the patients is improved. The device is suitable for general thoracic surgery postoperative patients.

The invention provides an artificial intelligence confrontation technology military training simulation system based on reinforcement learning, and belongs to the field of training simulation. The problem of poor confrontation simulation training effect is solved; the scene simulation module is used for constructing a differential equation set and setting a response area of a target or a response interval of a laser module; the training simulation module is used for acquiring the positions of trainees, counting, recording and analyzing the shooting interval and the effective score of each trainee in combination with a differential equation set and the response area of the target or the response interval of the laser module, and adjusting a training strategy; the score feedback module is used for recording and feeding back effective scores of the trainees; the target refreshing interval and position are adjusted by analyzing the score and shooting angle of the trainee, and the target moving route is distributed according to the position of the trainee, so that the model effect of confrontation training is improved.

A static balancing instrument comprises a fixed support, a swing frame is installed on the fixed support through a plurality of oscillator assemblies I, an unstable platform is installed on the swing frame through a plurality of oscillator assemblies II, an ankle joint assembly is further installed on the unstable platform, and the ankle joint assembly comprises an ankle joint support and an ankle joint pedal. The ankle joint support is installed on the unstable platform, the ankle joint pedal is hinged to the ankle joint support, a plurality of ankle joint angle scales are further installed at the bottom of the ankle joint pedal, the ankle joint angle scales are installed on the ankle joint pedal through screws, and a plurality of ankle joint angle supporting columns with different lengths are further installed at the bottoms of the ankle joint angle scales; the fixed support is further provided with a guardrail assembly, and the swing frame is further provided with a plurality of resistance adjusting rods matched with the fixed support. The device is reasonable in design, safe to use, adjustable in shaking frequency and amplitude, capable of meeting the requirements of different persons conveniently and suitable for various scenes such as balance training and rehabilitation training.

The severe illness rehabilitation chair comprises a driving switch, a control circuit, a swing arm, a bandage, a driving part and a supporting part, the supporting part mainly supports a human body, the bandage is installed on the swing arm, and the control circuit drives the swing arm to rotate forwards and backwards relative to the supporting part by controlling the driving part to rotate forwards and backwards. The drive switch is controlled by the bandage, the drive switch is triggered when the bandage is stretched, and the drive switch controls the drive part by feeding an electric signal back to the control circuit, so that the control circuit controls the drive part to drive the swing arm to rotate when the drive switch is triggered. The severe illness rehabilitation chair can be used for active rehabilitation training and passive rehabilitation training, the passive rehabilitation training is mainly used for completely paralyzed patients such as stroke, and the active rehabilitation training is mainly used for people who are slow in action and inflexible in action or can only do small-range action due to factors such as severe illness. The power assisting mode can make training easier, and the resistance mode can increase the training difficulty, namely improve the training intensity.

The invention discloses a neurology rehabilitation training device which comprises a base plate, a leg kicking machine base is fixedly arranged at one end of the upper portion of the base plate, a leg kicking machine body is fixedly arranged above the leg kicking machine base, a rotating shaft is rotationally connected to the side face of the leg kicking machine body, and a pedal connecting rod is rotationally connected to the side face of the rotating shaft; an adjusting block is fixedly connected to the side face of the pedal connecting rod, an adjusting telescopic rod is fixedly connected to one side of the adjusting block, a telescopic pedal is fixedly arranged on the other side of the adjusting block, and a bandage is fixedly arranged at one end of the upper portion of the adjusting block; individual differences of patients and an adjusting mechanism of an adjusting block are fully considered through refined design of the lower limb training module, so that the device adapts to soles of different patients, stable fixation of the soles is ensured, sliding in the training process is effectively prevented, the leg kicking action is more accurate and powerful, and the leg kicking effect is better. Therefore, lower limb muscle strength can be exercised more efficiently, and recovery of lower limb functions is promoted.

This utility model relates to a shoulder joint trainer, including a positioning mechanism, a shoulder ladder assembly, and a gripping assembly. The positioning mechanism includes a first surface and a second surface along its thickness direction. Along the height direction of the positioning mechanism, the first surface has a plurality of fasteners arranged in an array, and the second surface is used to fit against a wall. The shoulder ladder assembly is detachably connected to the positioning mechanism. The shoulder ladder assembly includes a third surface and a fourth surface along its thickness direction, with the third surface opposite to the first surface. The third surface is provided with a connector adapted to the fasteners. When the fasteners and connectors are connected, the shoulder ladder assembly is fixed to the positioning mechanism. The gripping assembly is slidably connected to the shoulder ladder assembly. This utility model can connect the connectors to fasteners of different heights. For patients in the early stages of rehabilitation, the trainer can be adjusted to a lower position to easily complete basic lifting movements. As the recovery progresses, the height can be gradually increased to increase the training difficulty.

The invention relates to the technical field of training equipment, and discloses helicopter underwater escape training equipment which comprises a cabin body, an annular slide way is fixedly installed on the outer surface of the middle section of the cabin body, and a lifting appliance is installed on the annular slide way. By switching on a power supply of a waterproof motor mounted at the bottom of any buoyancy tank, the waterproof motor drives a transmission shaft to rotate, a hollow guide frame mounted on the outer surface of the transmission shaft rotates along with the transmission shaft, the hollow guide frame drives a sealing plate to move through a guide column slidably mounted in the hollow guide frame, and the sealing plate opens openings formed in the two sides of the corresponding buoyancy tank; one buoyancy tank is in a closed state, so that water can quickly enter the buoyancy tank after the buoyancy tank enters the water, and the other buoyancy tank which is still in a closed state floats upwards under the buoyancy of the water, so that the whole cabin body is in an inclined state after entering the water and is turned over in the inclined state, and the scene state that the helicopter enters the water at the head end or the tail end is simulated; therefore, the underwater escape ability of the trainee in different state environments can be trained.

The utility model belongs to the technical field of military training, and discloses a military training laser shooting device for simulated training, which comprises a supporting column, a base is mounted at the bottom of the supporting column, a fixing column is connected to the top end of the supporting column, a laser target is mounted on one side, far away from the supporting column, of the fixing column, a cavity groove is formed in the fixing column, and a laser light source is arranged in the cavity groove. A cavity groove is formed in the fixing column, a lead screw is rotationally connected to the interior of the cavity groove through a bearing, a movable sleeve is installed on the outer wall of the lead screw, a second gear is fixed to the end, extending out of the fixing column, of the lead screw, and a motor is installed at the end of the side, close to the supporting column, of the fixing column. The sliding column can drive the laser target to move back and forth along a straight line, so that the shooting of the moving enemies can be simulated, the training difficulty is further enhanced, the flexibility is high, and the use effect of the device is greatly improved.

The invention relates to the technical field of walking aids, in particular to a children rehabilitation walking aid which comprises a frame structure, a walking aid body, a walking aid body and a walking aid body. The multi-mode sensing layer is arranged on the frame structure and used for collecting gait data of a patient; the central processing unit is electrically connected with the multi-mode sensing layer and is used for receiving and processing the gait data; the executing mechanism is electrically connected with the central processing unit and used for adjusting the supporting force according to the processing result of the central processing unit; the power supply system is electrically connected with the multi-mode sensing layer, the central processing unit and the execution mechanism and is used for supplying power; the human-computer interaction interface is electrically connected with the central processing unit, is used for displaying data and receiving instructions, can accurately capture unique gait characteristics of each child patient through a self-adaptive space-time attention network technology, and adjusts an analysis strategy in real time; the highly personalized gait analysis significantly improves the pertinence and effectiveness of the training.

This application discloses a symptom recognition method, apparatus, electronic device, and storage medium, belonging to the field of natural language processing technology. The method includes: training a symptom recognition model based on corpus text, positive symptom text, and a first negative symptom text, where the positive symptom text is the symptom text that matches the corpus text, and the first negative symptom text is the symptom text that does not match the corpus text; calling the symptom recognition model to determine the similarity between the corpus text and multiple preset symptom texts; determining the preset symptom text corresponding to the highest similarity among at least one similarity score belonging to a second interval as the second negative symptom text corresponding to the corpus text; and training the symptom recognition model based on the corpus text, positive symptom text, first negative symptom text, and second negative symptom text. This method enriches the sample diversity during training, increases the training difficulty of the symptom recognition model, and thus improves the recognition accuracy of the symptom recognition model.

The invention relates to a training method and device for a hunting strategy network based on multi-agent reinforcement learning, and is applied to a liquid environment comprising at least two hunting persons and escapers. According to the method, respective action information of at least two purchasers can be obtained by using purse strategy networks corresponding to the at least two purchasers according to respective state information of the at least two purchasers and relative state information of the at least two purchasers and other purchasers and escapers at the current moment; and inputting the global information into the evaluation network to obtain score information for the respective action information of the at least two trainers so as to train the respective corresponding hunting strategy networks of the at least two trainers. A normal form of centralized training and decentralized execution is adopted, the stability and expandability of the algorithm in the complex environment are ensured, and efficient cooperative hunting of the bionic robotic fish in the complex environment is further achieved.

The utility model discloses a movable single-plank bridge which comprises a device body, fixing mechanisms are symmetrically arranged at the two ends of the device body, adjusting mechanisms are symmetrically arranged on the two sides of the device body, and guiding mechanisms are arranged at the other ends of the fixing mechanisms. A fixing mechanism is matched with an adjusting mechanism, an inserting bolt is pulled away, an inserting plate can slide back to the interior of a sliding groove of a butt joint plate, the device body can shake in the left-right direction in the using process, and therefore the training difficulty of the device is improved; after the shaking in the left-right direction adapts, the fixing bolts can be rotated, so that the inclination angle of the supporting frame can be adjusted, and after the supporting frame is rotated to the corresponding threaded holes, the safety net is leveled through the rein, so that the device forms the effect as shown in the figure 4, and the shaking of the device is changed from left-right shaking to up-down shaking; the training difficulty is further improved, the diversity of training schemes is also improved, and the multi-azimuth training requirements can be met.

The present invention provides a secure communication method and system based on an adversarial neural network. The method includes: the transmitting end converts the plaintext to be sent into multiple plaintext blocks; adopts a block cipher working mode, uses an encoder of an adversarial neural network model to encrypt multiple plaintext blocks in sequence, and the encoder adopts a multi-layer convolutional neural network; combines the ciphertext block and the plaintext length to obtain the ciphertext and sends it; the receiving end adopts a block cipher working mode, uses a decoder of an adversarial neural network model to decrypt multiple ciphertext blocks in sequence, obtains the plaintext block corresponding to each ciphertext block, and the decoder adopts a multi-layer convolutional neural network; combines the multiple plaintext blocks obtained by decryption to generate a combined plaintext; extracts the corresponding part of the length of the plaintext to be sent from the combined plaintext as the plaintext. The encoder, decoder and classifier of the present application adopt convolutional neural networks, which can reduce the difficulty of model training, have stronger ability to process text sequences, make full use of the unpredictability of neural networks, and enhance communication security.

The invention discloses a somatosensory enhanced muscle engraving glove for strength training and a training method.The somatosensory enhanced muscle engraving glove for strength training comprises a surrounding body which is of a hollow structure and used for surrounding a palm; the stress assembly is connected to the surrounding body, the stress assembly comprises a rigid plate and a connecting piece which are connected with each other, the connecting piece is used for being connected with the resistance output module, the rigid plate is connected with the connecting piece, and the rigid plate is used for allowing the palm to abut against and push force so as to conduct training through the load force output by the resistance output module. The rigid plate makes contact with the palm and serves as a platform for a user to exert force, and the connecting piece is used for being connected with an external resistance output module to ensure that resistance can be effectively transmitted in the training process. Therefore, through the arrangement of the rigid plate, the user can directly apply force with the palm, participation of joints such as fingers and wrists is reduced, training is more concentrated on a target muscle group, and the training accuracy and efficiency are improved.

The invention belongs to the technical field of concentration training, particularly relates to a concentration training device matched with a brain machine and a training method of the concentration training device, and provides the following scheme aiming at the problems that most of existing traditional concentration training equipment is single in function, insufficient in interactivity, lack of diversity in training modes and the like. The device comprises a base, a supporting rod is fixedly mounted at the top of the base, a plurality of lifting grooves are formed in the outer wall of the supporting rod, sliding blocks are slidably arranged in the multiple lifting grooves, and connecting plates are fixedly mounted on one sides of the multiple sliding blocks. The concentration training device for brain-computer cooperation integrates display screen interaction, personalized training content adjustment, multi-user synchronous training, height and angle adjustable design and a brain wave real-time feedback mechanism, not only enhances interesting interaction and personalized experience of training, but also improves training experience through flexible adjustment of the position of the display screen and a rotation function. The training difficulty and diversity are increased, and the optimal training effect is ensured.

This application relates to the field of shooting target technology, and provides a swinging and windmilling target machine, including a target machine base, a target rod transmission assembly on the target machine base, a target rod swinging assembly and a target rod rotating assembly on the target rod transmission assembly, the target rod rotating assembly being disposed above the output end of the target rod transmission assembly, and driving the target on the target rod rotating assembly to rotate when the target rod transmission assembly rotates; the target rod swinging assembly is tractively connected to the output end of the target rod transmission assembly, and the target rod transmission assembly can drive the target on the target rod swinging assembly to swing back and forth. The swinging and windmilling target machine of this application has a target rod transmission assembly with a swinging mode and a windmill mode; in swinging mode, the target on the target rod swinging assembly swings back and forth, and in windmill mode, the target on the target rod rotating assembly rotates, allowing the same target machine to meet multiple training scenarios, and enabling free switching of training scenarios according to specific training requirements. The switching process is time-saving and labor-saving, and there is no need to frequently change target machines, resulting in lower costs.