Abstract: A method of audio generation based on a large language model is disclosed, which involves the fields of artificial intelligence such as large language models, natural language processing, deep learning, and audio generation. The method of audio generation based on a large language model comprises: acquiring a text to be processed; parsing the text to be processed using the large language model to obtain role information and emotional information corresponding to the text to be processed; obtaining a target reference text and a target reference audio according to the role information and the emotional information; and generating a target audio corresponding to the text to be processed according to the text to be processed, the target reference text, and the target reference audio.

Abstract: A method for automatically detecting the free vibration response segment of the high-speed railway bridges after trains passing. First, pre-select the test response sequence to be decomposed based on the maximum of the time instants corresponding to the absolute maximums of the response vectors at various measuring point. Then, Extract the single-frequency modal response from the test response by the iterative variational mode decomposition and fit the envelope amplitude of the modal response by Hilbert transform. Finally, the vibration features at each time instants are marked as decay vibration or non-decay vibration. The longest structural response segment that meets the decay vibration features is determined as the detected free vibration response segment for modal identification. This invention can effectively detect the free vibration data segment without human participation, which is of great significance for the real-time accurate modal analysis of high-speed railway bridges.

Abstract: Structural health monitoring relating to an automatic method for tracking structural modal parameters. First, Natural Excitation Technique is used to transform the random responses into correlation functions and Eigensystem Realization Algorithm combined with the stabilization diagram is used to estimate modal parameters from various response segments. Then, modes from the latter response segment are classified as traceable modes or untraceable modes according to correlations between their observability vectors and subspaces of the existing reference modes. Final, traceable modes will be grouped into specified clusters with the same structural characteristics on the basis of maximum modal observability vector correlation and minimum frequency difference. Meanwhile, union of the untraceable modes and existing reference modes are updated as the new reference modes which can be applied into the next tracking process.

Abstract: A method for automatically detecting the free vibration response segment of the high-speed railway bridges after trains passing. First, pre-select the test response sequence to be decomposed based on the maximum of the time instants corresponding to the absolute maximums of the response vectors at various measuring point. Then, Extract the single-frequency modal response from the test response by the iterative variational mode decomposition and fit the envelope amplitude of the modal response by Hilbert transform. Finally, the vibration features at each time instants are marked as decay vibration or non-decay vibration. The longest structural response segment that meets the decay vibration features is determined as the detected free vibration response segment for modal identification. This invention can effectively detect the free vibration data segment without human participation, which is of great significance for the real-time accurate modal analysis of high-speed railway bridges.

Abstract: Provided are a power flow calculation method and device for an alternating current (AC)-direct current (DC) interconnected power system, a storage medium and terminal. A state of a DC network is calculated according to a control mode of a converter station, and a connection point between the DC network and an AC network is equivalent to a power node; and power flow calculation is performed through a Newton-Raphson method.

Abstract: Structural health monitoring relating to an automatic method for estimating structural modal parameters by clustering. The structural modal parameters from state-space models are calculated in different orders by Natural Excitation Technique in combination with Eigensystem Realization Algorithm According to the characteristics that physical modes are those with high similarity and stably appearing at different orders while spurious modes are those with little similarity and unstably appearing at different orders, the modal dissimilarity between two nearest modes in consecutive order are considered as feature of the mode in the lower order. Then, features of modes are used in fuzzy C-means clustering to adaptively acquire the stable cluster where modes are with high similarity. Finally, Hierarchical clustering is used to group the stable modes with identical modal parameters together and thus each physical mode can be obtained.

Abstract: Structural health monitoring relating to a real-time tracking method for structural modal parameters. The Natural Excitation Technique transforms structural random responses into free decaying responses used to calculate structural modal parameters by the Eigensystem Realization Algorithm combined with the stabilization diagram. Considering influence of environmental excitation level on the number of identified modes, the reference mode list is formed by union of modes obtained from response sets in a day. Then the modes can be tracked automatically according to rules of minimum frequency difference and maximum Modal Assurance Criterion (MAC). To avoid mode mismatch problem caused by absence of threshold, frequency differences and MACs between all modes from the latter response set and all reference modes are calculated and the mode will be tracked into the cluster corresponding to the specified reference mode only in the case that their frequency difference is smallest and the MAC is largest.

Abstract: Structural health monitoring relating to an automatic method for tracking structural modal parameters. First, Natural Excitation Technique is used to transform the random responses into correlation functions and Eigensystem Realization Algorithm combined with the stabilization diagram is used to estimate modal parameters from various response segments. Then, modes from the latter response segment are classified as traceable modes or untraceable modes according to correlations between their observability vectors and subspaces of the existing reference modes. Final, traceable modes will be grouped into specified clusters with the same structural characteristics on the basis of maximum modal observability vector correlation and minimum frequency difference. Meanwhile, union of the untraceable modes and existing reference modes are updated as the new reference modes which can be applied into the next tracking process.

Abstract: A data processing method and a terminal device, where the method includes obtaining a speed of the terminal device, receiving a first communications service, disabling a preset reminder of the first communications service when the speed of the terminal device exceeds a first preset value, and enabling the preset reminder of the first communications service when the speed of the terminal device decreases to a second preset value, where the second preset value is less than or equal to the first preset value. The data processing method and the terminal device are used for a user reminder of a terminal device in a vehicle mode.

Abstract: A data processing method and a terminal device, where the method includes obtaining a speed of the terminal device, receiving a first communications service, disabling a preset reminder of the first communications service when the speed of the terminal device exceeds a first preset value, and enabling the preset reminder of the first communications service when the speed of the terminal device decreases to a second preset value, where the second preset value is less than or equal to the first preset value. The data processing method and the terminal device are used for a user reminder of a terminal device in a vehicle mode.

Abstract: A cancer treatment equipment includes a case (7), a squeeze-type friction head (1) connected to direct current, a stiction friction head (2) of low-middle frequency current, a friction head (3) with magnetic sheet, a medicated gauze pad fixation clamp (4), a medicated gauze pad (5) and a treatment device of RF, microwave or ultrasonic. The squeeze-type friction head (1) connected to direct current, the stiction friction head (2) of low-middle frequency current and the friction head (3) with magnetic sheet are fixed in the case (7) in parallel. The medicated gauze pad (5) is fixed on the medicated gauze pad fixation clamp (4) on the lower part of the case (7).

Abstract: A data processing method and a terminal device, where the method includes obtaining a speed of the terminal device, receiving a first communications service, disabling a preset reminder of the first communications service when the speed of the terminal device exceeds a first preset value, and enabling the preset reminder of the first communications service when the speed of the terminal device decreases to a second preset value, where the second preset value is less than or equal to the first preset value. The data processing method and the terminal device are used for a user reminder of a terminal device in a vehicle mode.

Abstract: A data processing method and a terminal device, where the method includes obtaining a speed of the terminal device, receiving a first communications service, disabling a preset reminder of the first communications service when the speed of the terminal device exceeds a first preset value, and enabling the preset reminder of the first communications service when the speed of the terminal device decreases to a second preset value, where the second preset value is less than or equal to the first preset value. The data processing method and the terminal device are used for a user reminder of a terminal device in a vehicle mode.