11results about How to "Improve conversion performance" patented technology

The utility model relates to the technical field of photovoltaic panel frames, and discloses a photovoltaic panel frame structure convenient for adjusting the angle of a photovoltaic panel, which comprises a base and a main frame body, one side of the top surface of the base is fixedly connected with two first support rods, the other side of the top surface of the base is fixedly connected with two second support rods, the second support rods are internally provided with empty grooves, and the empty grooves are arranged in the main frame body. A lifting screw rod is arranged in the second supporting rod, a lifting assembly used for adjusting the angle of the main frame body is arranged at the bottom of the lifting screw rod, hinge pieces are movably connected to the top ends of the first supporting rod and the lifting screw rod, the hinge pieces are fixedly connected with the main frame body, and clamping assemblies for fixing the photovoltaic panel are symmetrically fixed to the two sides of the main frame body. Therefore, the angle of the photovoltaic panel can be adjusted, so that the photovoltaic panel can better receive sunlight, the loss of sunlight energy is reduced, the energy conversion effect is further improved, and the power generation efficiency is also improved.

The invention discloses a voice style conversion method, and the method comprises the steps: obtaining a voice data set which comprises a source voice and a target voice; performing feature extraction on the source voice and the target voice to obtain a first Mel spectrum and a second Mel spectrum; performing content feature extraction on the first Mel spectrum through a preset content encoder to obtain content features; performing down-sampling processing on the phoneme sequence aligned with the content features to obtain a hidden state sequence; performing style feature extraction on the second Mel spectrum through a preset style encoder to obtain style features; performing alignment embedding on the style features and the hidden state sequence to obtain target style features; and determining a voice conversion result according to the hidden state sequence and the target style feature. According to the method, the phoneme sequence aligned with the content features is subjected to down-sampling, so that the problem that noise frames exist is solved. By performing alignment embedding on the style characteristics and the hidden state sequence, other styles except timbre are effectively transferred.

The application relates to a VR user identity authentication method based on multi-modal perception of sound vibration signals, which comprises the following steps: S1, obtaining original acceleration signals and original speech signals based on time axis alignment; S2, identifying sound segments and taking the sound segments as first speech signals; S3, taking first acceleration signals corresponding to the first speech signals from the original acceleration signals; S4, generating acceleration amplitude spectrum diagrams of the first acceleration signals as first acceleration spectrum diagrams; S5, converting the first acceleration spectrum diagrams into speech mel spectrum diagrams as second mel spectrum diagrams, and converting the second mel spectrum diagrams into acceleration amplitude spectrum diagrams as second acceleration spectrum diagrams; S6, performing cyclic consistency feature extraction on the first acceleration spectrum diagrams and the second acceleration spectrum diagrams to obtain first features; and S7, inputting the first features into a trained first detection model to obtain a detection result. Compared with the prior art, the application has the advantages of improving the anti-interference ability and the accuracy, etc.

This utility model relates to the field of geothermal energy utilization technology, and in particular to a high-temperature geothermal energy conversion and heat release device for medium-deep geothermal energy. It includes a heat-conducting sleeve, heat conduction pipes, and a confluence pipe. Multiple sets of heat conduction pipes are arranged in an array inside the heat-conducting sleeve. Multiple sets of ribs are fixedly installed around the heat conduction pipes and are fixedly connected to the heat-conducting sleeve. The heat-conducting sleeve is filled with thermally conductive gel. One end of each set of heat conduction pipes is connected to the confluence pipe. An evaporation chamber is provided inside the heat-conducting sleeve, and the confluence pipe communicates with the evaporation chamber. This utility model increases the contact area through the ribs, and in conjunction with the thermally conductive gel inside the heat-conducting sleeve, it can absorb geothermal energy and transfer it to the heat conduction pipes, heating the circulating fresh water inside the heat conduction pipes to extract geothermal energy. The heated hot water from the multiple sets of heat conduction pipes is then discharged into the evaporation chamber through the confluence pipe, evaporated into high-temperature steam, and then delivered to the energy conversion component for geothermal utilization.

The invention belongs to the field of artificial intelligence and finance, and relates to an anonymous voice conversion method, which comprises the following steps: preprocessing a voice data set to obtain a voice enhancement data set; performing first-stage training on a pre-constructed initial speech synthesis model by using the speech enhancement data set to obtain a trained speech synthesis model; performing second-stage training on the pre-constructed initial anonymous identity generator to obtain a final anonymous identity generator; replacing a speaker encoder in the speech synthesis model with the final anonymous identity generator to obtain an anonymous speech conversion model; and performing voice conversion on the to-be-converted voice based on the anonymous voice conversion model to generate anonymous voice. The invention further provides an anonymous voice conversion device, computer equipment and a storage medium. In addition, the invention also relates to a block chain technology, and the to-be-converted voice can be stored in a block chain. According to the invention, the diversity of anonymous voice can be improved, and privacy security is protected.

The present invention relates to the technical field of electronic devices, and in particular to a flexible thermoelectric device based on a negative Poisson's ratio structure and its application. A flexible thermoelectric device based on a negative Poisson's ratio structure includes a heat-conducting layer for fitting with human skin; a hot end installed at one end of the top of the heat-conducting layer; a heat-insulating layer installed on the top of the heat-conducting layer and abutting the hot end at one end; a cold end installed on the top of the heat-insulating layer and located away from the hot end; a thermoelectric conversion layer installed on the top of the heat-insulating layer, one end connected to the hot end and the other end connected to the cold end; and a heat-insulating packaging layer covering the top of the thermoelectric conversion layer; the thermoelectric conversion layer includes a plurality of thermoelectric units arranged in an array and interconnected; the thermoelectric unit is a negative Poisson's ratio structure. The flexible thermoelectric device based on a negative Poisson's ratio structure provided by the present invention has good energy conversion performance, good flexibility, good bending strength, and long service life, and is suitable for use in wearable devices, especially wearable medical devices.

The invention discloses a face feature conversion method based on feature information mapping and an attention mechanism. The method comprises the following steps: 1) constructing a face feature editing model; the face feature editing model comprises a generator, a discriminator and a loss network; 2) taking a to-be-converted target domain label and an original image as input of a model, and outputting a converted generated image; firstly, a target domain label is converted into data of depth feature information by a feature information mapping network in a generator, then the data is added into an image generation network to realize conversion in the process of converting an original image into a generated image, and finally the generated image enters a discriminator to be evaluated, and the true degree of the generated image is evaluated. According to the method, the structure of the generator and the structure of the discriminator are modified, and a loop structure in the model is constructed, so that correct generation of the image is facilitated; and by adding an attention mask generation network and context loss, the performance of retaining the original information of the image is improved.

The application belongs to the technical field of low-code development, and discloses an AI-driven low-code platform application automatic generation method and system, which comprises the following steps: constructing a style mapping table; loading an entry skill of an AI Agent, obtaining a low-code platform data model hierarchical structure and a skill navigation table, querying the navigation table according to a task type to load an analyzer skill, and obtaining an input source analysis rule; extracting an HTML prototype structure feature vector and performing similarity matching with a UI mode template library, generating a preliminary configuration within a threshold value, and generating a basic configuration structure outside the threshold value according to the analysis rule, range determination, form entity and page differentiation, and four-step component conversion; matching and loading atomic skills, generating scattered configuration files and analysis summary files according to a JSON configuration specification; displaying a summary for confirmation, assembling scattered configurations to generate a seed data file; and importing the seed data file through an API protocol bridge layer. The application improves the code generation efficiency of the low-code development platform.

The invention, which relates to the technical field of solar energy, discloses an anti-ponding lap joint type solar photovoltaic module comprising a composite mechanism. According to the water accumulation prevention lap joint type solar photovoltaic module, the components are fixed through the composite mechanism design and the fixing mechanism, so that the effect of keeping the structure stable is achieved, shaking of the internal structure caused by external force influence is avoided, component abrasion is reduced, the service life of equipment is prolonged, the photovoltaic module is protected by the composite shell, external force damage is avoided, and the service life of the equipment is prolonged. The transparent cover plate is arranged on the light receiving side of the composite shell, so that rain wash or external impact is prevented, a light source is prevented from being shielded, and the conversion efficiency is prevented from being reduced; the sliding block is controlled to slide through the linear module, so that the friction plate rubs on the surface of the transparent cover plate, and on one hand, water flow is conveniently drained from one side of the drainage mechanism; and on the other hand, water flow rubs the friction plate, so that the cleaning effect on the surface of the component is achieved, impurities are prevented from precipitating on the surface of the structure, and shielding of a light source is reduced.

The invention discloses a method, device and equipment for transferring a picture to a document and a storage medium, the method comprises the steps that a first picture is input to a target detection model to obtain at least one object, the target detection model is used for detecting objects of different object types in the picture, and the object types comprise an image type, a formula type and a table type; for each object in the at least one object, constructing a first corresponding relationship between the object and an object identifier corresponding to the object to obtain at least one first corresponding relationship; processing the first picture based on the at least one object identifier corresponding to the at least one object to obtain a second picture; identifying the text information in the second picture to obtain a first document; and determining a second document corresponding to the first picture based on the first document and the at least one first corresponding relationship. According to the method, the objects of the table type and the image type can be identified and converted into the document, omission of the objects of the table type and the image type is avoided, and the conversion effect is improved.

The invention provides an electromagnetic power generation and friction nanometer power generation composite wave energy conversion device, and relates to the field of wave energy utilization, the electromagnetic power generation and friction nanometer power generation composite wave energy conversion device comprises an integrated power generation unit, the integrated power generation unit is formed by combining a plurality of power generation units, and each power generation unit comprises a square shell, a friction nanometer power generation part and an electromagnetic power generation part; the metal electrode clings to the inner wall of the square shell; a magnet rotor is arranged in the square shell, and the magnet rotor and a copper electrode in the square shell form a friction nanometer power generation part; a plurality of layers of coils are wound on the outer wall of the square shell, and the magnet rotor and the coils form an electromagnetic power generation part. Wave energy is collected through friction nanometer power generation and electromagnetic power generation, the two power generation modes are matched with each other, the available wave range can be effectively expanded, the conversion efficiency can be improved, the starting condition can be reduced, and therefore the device adapts to actual sea conditions with high randomness and time-varying characteristics.