91 results about "Linear layer" patented technology

A novel and improved method of applying adhesive to one side of a running web of wrapping material for a rod-like filler of filter material for tobacco smoke includes directing toward the one side of the web a stream of adhesive which issues from an open-and-shut orifice of a nozzle, and employing one or more jets of compressed air to vary the direction of flow of the stream so that the adhesive coats one marginal portion as well as the adjacent portion of the major central part of the one side and forms at least one non-linear layer. Once the thus treated web is draped around the filler, the adhesive bonds the two marginal portions of the converted web to each other and simultaneously bonds the central part of the web to the filler.

The invention discloses a vein recognition method based on a reinforcement learning algorithm optimized convolution neural network, which utilizes the reinforcement learning algorithm to optimize theconvolution neural network to construct a vein recognition model. The vein recognition model includes a network exploration model based on reinforcement learning algorithm and a multi-layer convolution network evaluation model. The network exploration model includes an encoder, a linear layer, a nonlinear layer, a Softmax classification layer, a decoder and a reward evaluation module. The convolution network evaluation model includes a data input preprocessing layer, multiple normal convolution module layers and multiple compression convolution module layers spaced apart, a global pooling layer and a full connection layer, and finally outputs vein eigenvector. The vein recognition method based on a reinforcement learning algorithm optimized convolution neural network can get the highest evaluation model, so as to obtain a higher recognition accuracy.

A system and method for semantic extraction using a neural network architecture includes indexing each word in an input sentence into a dictionary and using these indices to map each word to a d-dimensional vector (the features of which are learned). Together with this, position information for a word of interest (the word to labeled) and a verb of interest (the verb that the semantic role is being predicted for) with respect to a given word are also used. These positions are integrated by employing a linear layer that is adapted to the input sentence. Several linear transformations and squashing functions are then applied to output class probabilities for semantic role labels. All the weights for the whole architecture are trained by backpropagation.

The invention provides an electronic device which comprises a display unit, a controller, a control chip and a power supply, wherein, the control chip is connected with the power supply and controls a switch of the power supply; the display unit comprises a capacitive touch screen, which orderly consists of a glass substrate, a conductive layer and a linear layer, wherein, the four sides of the linear layer are respectively plated with an electrode, and the electrodes are idiostatic; each electrode and the display unit are respectively connected with the controller; the controller is used for preinstalling a starting signal which comprises at least one piece of information in a specific position, a specific time and a specific frequency for the touch screen, and is used for detecting a detection signal which comprises a position, a time and a frequency for the touch screen being actually touched, and then, a starting command is determined depending on the comparison of the detection signal and the starting signal. The invention also provides a method for opening the electronic device, and the controller determines whether to send out the starting command to open the electronic device or not depending on whether the detection signal corresponds to the starting signal.

A novel and improved method of applying adhesive to one side of a running web of wrapping material for a rod-like filler of filter material for tobacco smoke includes directing toward the one side of the web a stream of adhesive which issues from an open-and-shut orifice of a nozzle, and employing one or more jets of compressed air to vary the direction of flow of the stream so that the adhesive coats one marginal portion as well as the adjacent portion of the major central part of the one side and forms at least one non-linear layer. Once the thus treated web is draped around the filler, the adhesive bonds the two marginal portions of the converted web to each other and simultaneously bonds the central part of the web to the filler.

The invention relates to the technical field of character recognition, and discloses a handwritten text recognition method and device and electronic equipment. The handwritten text recognition methodcomprises the steps: obtaining a to-be-recognized handwritten text image; performing high-order feature extraction on the handwritten text image by using the convolutional layer of the convolutional neural network model obtained by training to obtain feature data; performing serialization processing on the feature data through a recursion block of the convolutional neural network model, and performing serial processing in the depth direction on the serialized data obtained by the serialization processing to obtain serial serialized data; and mapping the series serialized data to an output label through a linear layer of the convolutional neural network model to obtain an output value. According to the handwritten text recognition method, the target text corresponding to the handwritten text image is acquired according to the output value and the preset semantic library, and the target text corresponding to the handwritten text image is recognized through the convolutional neural network model, and the calculation cost can be greatly reduced on the premise that the detection precision is not affected, and the training speed and the recognition speed of the model are increased.

The invention provides a vehicle-mounted tank made of a carbon fiber reinforced composite. The vehicle-mounted tank is formed by combining three to six tank cavities. Each tank cavity is made of an inner liner layer. A rubber air-inflation inner container serves as a die of each inner linear layer, and each inner linear layer is made through a four-dimensional enveloping and winding formation process. The tank cavities are connected with one another through bolts and bonding. Each tank cavity is externally coated with a structural layer. Each structural layer is a glass fiber reinforced thermosetting composite layer and made through a four-dimensional enveloping and winding formation technology. Reinforcing ribs are arranged at the connection positions of the tank cavities. The reinforcing ribs are made of a glass fiber reinforced thermosetting composite and perform hoop winding reinforcing. Through holes are formed among the tank cavities. Supports are arranged at the bottoms of the tank cavities. The vehicle-mounted tank has the beneficial effects that by means of the vehicle-mounted tank made of the carbon fiber reinforced composite, the problem that a metal vehicle-mounted tank is poor in corrosion resistance can be solved; the wall thickness and design weight of a tank body can be remarkably lowered; fuel consumption of a vehicle is reduced; and the vehicle-mounted tank is small in weight, high in strength, resistant to corrosion and static electricity, capable of saving energy, environmentally friendly, good in comprehensive benefit and the like.

The invention discloses a lightweight cryptographic algorithm SCENERY implementation method, a lightweight cryptographic algorithm SCENERY implementation device and a storage medium. The method comprises the steps that a plaintext to be encrypted is acquired, IP1 initial replacement, a round function, key expansion and IP2 replacement are carried out in sequence, the round function comprises sequentially carrying out round key addition operation, S box replacement and M matrix replacement on data, and the key expansion comprises sequentially carrying out S box replacement, cyclic left shift, round constant addition operation and DP dynamic replacement on a key. An F function of an SPN structure is adopted as a round function, and a binary matrix M is constructed with the purpose of achieving high dependence when an F function linear layer is designed; a round constant and a key expansion intermediate result are selected as control signals for key expansion; DP dynamic replacement is carried out on a current round key expansion intermediate result to obtain a round key, which is a new key expansion mode, the relevance of single key iteration to front wheel input is reduced, the decoding difficulty is increased, the security is improved, and differential and linear attacks and algebraic attacks can be particularly and effectively resisted.

The invention discloses a pre-trained language model quantification method and device, and the method comprises the steps of carrying out the first fine tuning of a pre-trained language model on a downstream task; clustering the data in the weight matrixes of all the other embedding layers and all the linear layers except the classification layer of the fine-tuned model by using k-means clustering, and setting the category number as 2n, where n is the bit number occupied by each piece of data of the compressed target model; and carrying out second fine tuning on the quantized model on the downstream task under the condition of maintaining quantization, and finally obtaining a quantized network. According to the scheme provided by the embodiment of the invention, the influence of the improvement of the quantization scheme of the bottom layer on the quantization effect is greatly underestimated and ignored; meanwhile, it is shown that a very good compression effect can be achieved through simple k-means quantization without any skill, and it is shown that the k-means compression method has very large development space and application prospects.

A bimetal layer manufacturing method includes the procedure of: forming a first dielectric layer on the surface of a semiconductor substrate which has a first metal layer (conductive layer) of a selected pattern formed thereon; forming a SOG layer on the surface of the first dielectric layer; forming a second dielectric layer; forming required via holes on the foregoing layers until reaching the first metal layer; forming a linear layer from a dielectrics material through PECVD; removing unnecessary linear layer from selected locations through an anisotropic plasma etching process; finally forming a second metal layer on a selected surface of the linear layer where MIM capacitors to be formed, and forming connection plugs in the via openings without generating via hole poison.