12 results about "Boltzmann distribution" patented technology

The present application relates to a multi-modal data inconsistency detection and cleaning method and system based on adaptive energy guidance, belonging to the field of artificial intelligence and data mining technology. The present application proposes a multi-modal data inconsistency detection method based on adaptive energy guidance. First, a multi-expert uncertainty estimation framework is constructed to effectively mine multi-dimensional modal semantic correlation information such as prediction uncertainty, cross-modal consistency and teacher-student difference. Second, according to the multi-expert evaluation signal, an adaptive energy scoring mechanism is designed to effectively aggregate and quantify the sample modal consistency by constructing a comprehensive energy function and a weighted function based on Boltzmann distribution. Finally, a dynamic data cleaning and screening strategy based on energy score is constructed to improve the quality of the data set and the robustness of the downstream model, and better achieve the purpose of data service.

The invention provides a user portrait construction method under an AI platform, and belongs to the technical field of user portray.The method comprises the steps that microscopic interaction data are obtained through a user behavior collector, and a behavior state vector set is constructed according to a time sequence; a probability model and an interest energy function are established based on a Maxwell-Boltzmann distribution principle to automatically identify and filter noise data, and sparse matrix decomposition is adopted to project filtered clean data to a low-dimensional semantic feature space. A semantic enhancement model is utilized to perform clustering analysis on high-quality behavior data to identify a real user interest mode, a user individual graph structure based on semantic association is constructed through a knowledge graph technology to accurately express user preferences, and MCP protocol packaging is adopted to realize fusion processing of clean microscopic behaviors and accurate macroscopic features. The technical problem that the accuracy of the formed user portrait is not enough due to the fact that the user microcosmic behavior data is easily interfered by noise is solved.

The invention relates to the technical field of digital archive management and information security, in particular to a digital archive management vulnerability assessment method and system. The system comprises a data acquisition module, a semantic extraction module, a potential energy calculation module, an entropy analysis module and a hierarchical defense module. The system extracts semantic vectors by using a large language model and constructs a topological network; the core of the method is that local semantic potential energy is solved according to semantic coupling degree and edge reputation weight, abnormal probability is obtained through Boltzmann distribution, and a traceability computing power distribution coefficient is generated based on a Fermi-Dirac model; executing hierarchical defense and updating the weight according to the abnormal probability and the topological entropy; according to the method, the limitation of traditional Hash verification is broken through, the crossing from byte physical detection to semantic logic level forgery identification is realized, and the logic integrity of archives is ensured.

The invention discloses a drain current acquisition method and device for a gallium nitride high electron mobility transistor, and relates to the technical field of semiconductor devices.The method comprises the steps that firstly, channel carriers are regarded as an accumulation layer obeying Boltzmann distribution, and a first channel carrier charge density function is acquired through a one-dimensional Poisson equation; a second channel carrier charge density function is constructed in combination with static electrical characteristic parameters of the device, and a drain current function is obtained through joint approximate solution; constructing a current function of any point in the channel, solving an electric field function at the edge of the grid electrode adjacent to the drain electrode in combination with a current function of the drain electrode, determining a target voltage correlation function in combination with a current expression function of a source electrode access region, and further carrying out joint solving to obtain a solving value of the voltage at the edge of the grid electrode adjacent to the source electrode and the drain electrode; and finally obtaining the drain current according to the two solution values. Through a mode of combining physics and calculation, the defect that an existing model is poor in expansibility is overcome, and the method is suitable for circuit simulation and design of the GaN HEMT.

The invention discloses a multi-scale reaction flow simulation method based on a data-driven neural network. The method comprises the following steps: simulating a vibration state coarse scale reaction flow field; flow field state extraction and database coarse scale sampling point determination; acquiring vibration transition state fine-scale data based on an equilibrium Boltzmann hypothesis; generating a reaction database according to the fine-scale data and a reaction kinetics mechanism; establishing a mapping relation between a flow field state and a reaction source item by using a neural network driven by the generated database training data; and fine-scale reaction flow simulation is realized through the data-driven neural network. According to the method, the vibration state coarse scale data is mapped to the vibration transition state fine scale data according to the equilibrium Boltzmann distribution hypothesis, the mapping relation between the flow field state and the reaction source item is established through the multi-scale database training neural network, the reaction flow calculation cost is reduced in combination with the neural network, and the problem that device-level vibration transition state flow field simulation is difficult to implement is solved.

The invention relates to the technical field of portrait acquisition and comparison, and discloses a portrait acquisition and comparison method and system for frontier inspection, and the method comprises the steps: obtaining an original intensity image in a preset polarization direction, and obtaining an original intensity image based on a Stokes vector principle and a two-color reflection model; separating the collected image into a specular reflection component representing surface texture and a diffuse reflection component representing subcutaneous tissue characteristics; spatial frequency domain energy distribution of the two components is calculated, Boltzmann distribution is used for weighting and determining an overlapping characteristic value of a frequency domain of a diffusion mirror surface, and a light scattering scale parameter of the current skin is inversed according to the overlapping characteristic value; constructing a tissue optical characteristic filter, modulating the diffusion component in a frequency domain so as to map the diffusion component to a preset standard light scattering scale, and combining the mirror component subjected to energy whitening equalization to synthesize a normalized face image; and generating a binary final verification result by calculating the feature vector cosine similarity of the normalized image and the certificate reference image and combining an abnormal deviation penalty term.

The application discloses a high-temperature non-equilibrium model three-atom gas thermal property calculation method and a database generation method, and first, according to the fact that the energy level distribution probability on the electronic, vibration and rotation modes respectively meets the Boltzmann distribution hypothesis, a high-temperature non-equilibrium gas model is established; then, according to the rule that the vibration and rotation energy is less than the minimum dissociation energy of a molecule, the vibration and rotation energy level range of the molecule is determined; finally, according to the high-temperature non-equilibrium gas model and the vibration energy level and rotation energy level range of the molecule, a non-equilibrium three-atom gas specific heat calculation formula containing a single temperature variable is derived. Based on the non-equilibrium three-atom gas specific heat calculation formula, combined with the piecewise linear interpolation and piecewise quadratic interpolation method, a high-temperature non-equilibrium three-atom gas thermal property database is constructed. The application can support the engineering application of three and four temperature models, and has important significance for the scientific research and engineering application in the field of high-temperature non-equilibrium calculation aerodynamics.

The apparatus may be an apparatus for wireless communication at a decoding device, for decoding a probabilistically-shaped quadrature amplitude modulation (QAM) signal associated with a phase modulation and an amplitude modulation. The apparatus may be configured to receive, in association with the probabilistically-shaped QAM signal, at least one symbol associated with a first amplitude and demodulate the at least one symbol based on a distance-based demodulation calculation that is adjusted based on a Maxwell-Boltzmann distribution.

The present application relates to the field of digital archives management and information security technology, specifically to a digital archives management vulnerability assessment method and system; containing data acquisition, semantic extraction, potential solution, entropy analysis and hierarchical defense module; the system uses a large language model to extract semantic vectors and construct a topology network; its core is to solve local semantic potential according to semantic coupling degree and edge reputation weight, obtain abnormal probability through Boltzmann distribution, and generate traceability computing power distribution coefficient based on Fermi-Dirac model; hierarchical defense is executed and weights are updated according to abnormal probability and topological entropy; the present application breaks through the limitations of traditional hash check, realizes the leap from byte physical detection to semantic logic level forgery identification, and ensures the logical integrity of archives.

A method for identifying positive cooperating effects in mixed insulating gases based on atomic charge distribution is proposed. This invention addresses the problem that current methods for determining the type of cooperating effects in mixed gases require experimental basis, resulting in high costs and time consumption. A stable structure is constructed for gas molecules A and B, and their interaction configurations. The wave functions of the two gas molecules and the wave functions of the interaction configurations are calculated in relation to the Boltzmann distribution ratio. The electronegativity of the two gas molecules is calculated based on their wave functions. The corresponding atomic charge distributions are calculated based on the wave functions of the three molecules in a neutral state. A linear weighted value of the charge transfer amount of each interaction configuration is calculated based on the Boltzmann distribution ratio. The charge transfer direction is analyzed based on the electronegativity of the two gas molecules and the linear weighted value of each interaction configuration. If the interaction configuration exhibits a characteristic of electron transfer to the less electronegative gas molecule, it is a positive cooperating effect; otherwise, it is a cooperating effect.

The invention discloses a reservoir safety intelligent management system, which comprises an acquisition module for acquiring the vibration spectrum of a dam structure and the electromagnetic flux of water flow; the mapping module is used for executing phase change mapping on the vibration spectrum and the electromagnetic flux to obtain an instability sequence parameter of the dam, mapping the instability sequence parameter through Boltzmann distribution to generate a dam break probability distribution value, and mapping the instability sequence parameter into a three-dimensional thermodynamic diagram by using a phase change sensing network; the generation module is used for solving a risk flow density field vector based on the dam break probability distribution value, calculating a risk entropy, performing spatial differential operation on the risk entropy to obtain an entropy change gradient field, and generating a gate opening regulation and control instruction according to the risk flow density field vector; according to the method, through time domain alignment and abnormal value elimination operation of the vibration spectrum and the electromagnetic flux, misjudgment caused by sensor noise or data delay is avoided, and the problem that complex coupling risks cannot be recognized through single-parameter threshold judgment in an existing method is solved.

A system and method for simulating all-atom molecular dynamics using a novel approach that leverages Special Orthogonal Group 3—equivariant stochastic interpolants. The method allows for efficient and accurate simulations across large time steps while maintaining detailed atomic representations. Unlike traditional methods, this approach is trained on the direct transfer of distributions between consecutive time steps, bypassing the need to predict the Boltzmann distribution and avoiding the complexities of force integration. The method is also designed to be transferable across different molecular systems, generalizing from training on a subset to a broader range. Additionally, the invention incorporates mirror interpolants to predict dynamics within the same time step, followed by sampling from a Boltzmann distribution and simulating time dynamics using Langevin dynamics. This approach provides a highly efficient and scalable solution for simulating all-atom molecular dynamics, applicable to a wide range of molecular systems.