25 results about "Frequency level" patented technology

The invention relates to the technical field of machine learning, and discloses a load prediction method based on dual feature processing and error correction. The method comprises the following steps: acquiring multi-source time sequence data; decomposing the historical load data into a plurality of modal components by adopting a variational modal decomposition algorithm; classifying each modal component into different frequency levels according to the size of the sample entropy; performing phase-space reconstruction according to the modal component of each frequency level and the corresponding external influence factor data, and generating a multivariable phase-space data set of each frequency level; respectively inputting the multivariable phase space data set of each frequency level into the corresponding load prediction sub-model, generating prediction output results, and superposing the prediction output results; constructing a residual sequence based on the historical load data and the initial load prediction result; inputting the residual error sequence into a residual error prediction model to obtain a load residual error prediction value; and compensating the initial load prediction result through the load residual prediction value. According to the scheme, the load prediction accuracy can be improved.

The invention relates to the field of memory management, and provides a DDR memory frequency switching test method and device. The method comprises the following steps: acquiring a plurality of preset frequency gears of the DDR memory; constructing a multi-stage test flow of at least two different switching modes; for each test stage, generating target data before executing the frequency switching action, acquiring actual data from the DDR memory in the process of executing the frequency switching action, performing consistency comparison on the target data and the actual data, and detecting whether the frequency switching process causes data hopping or not; performing reliability judgment on a corresponding switching mode of the DDR memory based on a comparison result of each test stage, establishing a fault association relationship among the plurality of test stages, and when any test stage detects data hopping, determining a potential frequency switching fault currently existing in the DDR memory; and carrying out collaborative verification on the actual data in different switching modes in the multi-stage test process to form a frequency switching test report. The frequency switching test reliability and test efficiency can be improved.

A neural network computing system includes a processor including heterogeneous computing devices, a memory, a memory controller that controls the memory, and a system bus that communicates between the processor and the memory controller. The processor generates a frequency level combination table representing frequency level combinations of hardware devices that include the heterogeneous computing devices, the memory controller, and the system bus, each of the frequency level combinations maximizing a decreasing amount of execution time relative to an increasing amount of energy consumption when a performance level of the neural network model is increased by one level, determines, a target performance level, selects a frequency level combination among the frequency level combinations according to the target performance level, and controls, based on a selected frequency level combination, the hardware devices while the neural network model is executed.

One or more embodiments of the invention provide a method and a device for identifying an anti-shake state of a front-end interaction element. According to the method, based on a user session sequence, jump elements which do not adopt an anti-shake mechanism and the use frequency level of each jump element are identified. Then, a generated data table including jump elements that do not employ an anti-shake mechanism and use frequency levels of the jump elements is generated. Afterwards, in response to a received query request of a platform user for the anti-shake state of a front-end interaction element in a corresponding service product, a corresponding anti-shake state report is displayed to the platform user, so that the platform user can execute the anti-shake state report according to the use frequency level corresponding to each jump element which does not adopt the anti-shake mechanism in the anti-shake state report. And determining an anti-shake strategy for each jump element which does not adopt the anti-shake mechanism.

The invention discloses a self-adaptive Beidou short message emergency remote control and telemetering method. The method comprises the following steps: identifying the communication length and the frequency level of Beidou short message equipment on a host machine; determining a telemetering transmission scheme, and filling downlink data frames; determining a remote control transmission scheme, and receiving and filling uplink remote control data frames; establishing a telemetering sending task, periodically and cyclically inquiring whether the sending countdown of the Beidou short message is 0 or not by the telemetering sending task, if so, sending a downlink data frame, and if not, quitting and waiting for next inquiry; and establishing a remote control receiving task, regularly querying whether the asynchronous communication interface connected with the short message equipment receives data or not by the remote control receiving task, storing the received data into a buffer area, and extracting a complete uplink remote control data frame according to a frame header, a frame tail and frame verification. The method can adapt to different levels of Beidou short message communication frequencies and length levels, is high in program adaptability, and can automatically match the maximum communication transmission capability when the level of the user card changes.

The present invention relates to a multimodal sentiment analysis method for online education. The method comprises obtaining a text comprehensive modal representation, a speech comprehensive modal representation, and a visual comprehensive modal representation in data to be analyzed, and performing multimodal fusion. The method performs analysis in a multimodal manner and utilizes the complementarity between different modalities to improve the comprehensiveness and accuracy of sentiment recognition. The method further comprises determining an optimal wavelet basis function and an optimal number of decomposition layers based on the fusion result, performing a discrete wavelet transform on the fusion result to obtain high-frequency features and low-frequency features, and finely separating local frequency characteristics. The method further comprises determining a multi-frequency graph attention weight based on the high-frequency features and the low-frequency features, performing feature fusion on the high-frequency features and the low-frequency features based on the multi-frequency graph attention weight to obtain a multimodal sentiment analysis result, capturing the synergy between modalities at different frequency levels, effectively fusing heterogeneous data, more comprehensively understanding complex sentiment expressions, and improving the accuracy of multimodal sentiment recognition.

The invention discloses a motor bearing fault recognition method based on vibration signal analysis. According to the method, recognition of a motor bearing of an orbital wing type wind power generation device is achieved through a hybrid method of multi-modal feature extraction and a convolutional neural network. The method comprises the following steps: firstly, decomposing a complex vibration signal by adopting an empirical Fourier decomposition (EFD) method to obtain multi-scale signal components of a plurality of frequency bands, thereby effectively revealing information of an internal structure and different frequency levels in the signal; then, multi-modal feature extraction is carried out on each component in a time domain, a frequency domain and a time-frequency domain, a time-frequency signal obtained through S transformation can further capture transient features of a bearing fault, background noise and working condition disturbance are effectively inhibited, and key state change information is extracted from a non-stationary signal; and finally, the structure of the convolutional neural network is improved, multi-scale and multi-modal feature information is fused, an efficient and robust classification model is constructed, and rapid and accurate recognition of different types of bearing faults is realized.

According to one aspect of the invention, a control system for a renewable energy generator in a renewable energy power plant is provided, the renewable energy power plant including a plurality of renewable energy generators. The control system includes one or more controllers configured to execute machine-readable instructions to: determine a first power reference value for the renewable energy generators using droop control techniques, the first power reference value being determined based on a frequency signal indicating a frequency level of the renewable energy generators; receive a second power reference value from a power plant controller associated with the plurality of renewable energy generators; and control the power level of the renewable energy generators based at least in part on the first power reference value and the second power reference value.

The present application belongs to the technical field of speech signal processing, and particularly relates to a speech enhancement method and system based on deformable embedding and time-frequency channel jointing. The method adopts multi-scale dense connection processing to capture the context relationship of speech and noise at different time-frequency levels. Adaptive feature embedding is realized in the multi-scale space through deformable convolution, thereby improving the robustness to speech structure changes and the generalization ability to different noise conditions. Through time-frequency channel jointing processing, not only the calculation advantage of lightweight convolution is retained, but also the structure perception ability is enhanced, and the speech dominant area can be focused and irrelevant interference can be suppressed in a complex noise environment.

The invention discloses an image segmentation method and system based on attention fusion of a multi-scale double-branch encoder, and the method comprises the steps: introducing a data enhancement module to carry out the feature enhancement of an input image, and extracting the structure information of different frequency levels. And the enhanced features are respectively sent into a double-branch encoder composed of a local feature extraction branch and a multi-axis attention branch so as to realize parallel modeling of local detail features and global context information. The features output by the double-branch encoder are further input into a Transform module, and a long-range dependency relationship is modeled through a self-attention mechanism. And then, a fusion module combining a channel compression excitation module and a coordinate attention module is adopted to carry out joint re-calibration on channel importance and spatial position information, and fusion features with higher discrimination capability are obtained. And finally, recovering the spatial resolution layer by layer through a decoder, and outputting a pixel-level segmentation result of the target area.

The invention belongs to the technical field of voice signal processing, and particularly relates to a voice enhancement method and system based on deformable embedding and time-frequency channel combination, and the method comprises the steps: employing multi-scale dense connection processing, and capturing a context relation between voice and noise at different time-frequency levels; adaptive feature embedding is realized in a multi-scale space through deformable convolution, so that the robustness to voice structure change and the generalization ability to different noise conditions are improved; through time-frequency channel combined processing, the calculation advantage of lightweight convolution is reserved, the structure perception capability is enhanced, a voice dominant region can be focused in a complex noise environment, and irrelevant interference is inhibited.

The invention discloses a data transmission method and device, electronic equipment and a medium, and belongs to the technical field of computers. The method is applied to a first device and comprises the following steps: receiving a first input; in response to the first input, displaying a plurality of application category groups on the first device; wherein each group of application categories comprises at least one application on the first equipment, and the use frequency levels of the applications under different application category groups are different; and sending application migration data to the second equipment, wherein the application migration data is migration data of the applications in the at least one group of application categories.

Embodiments dynamically measure latency for a plurality of functions with a plurality of corresponding frequency levels within a serverless computing cluster; measure a transition latency from an idle state to an active state for the plurality of functions; determine whether a target response time to perform a service level objective (SLO) within the serverless computing cluster is going to be missed; dynamically reallocate at least one core and changing a frequency level across the plurality of functions by scaling down in response to a determination that the target response time to perform the SLO within the serverless computing cluster is going to be met; and dynamically reallocate the at least one core and changing the frequency level across the plurality of functions by scaling up in response to a determination that the target response time to perform the SLO within the serverless computing cluster is going to be missed.

The application discloses an interface light control method based on audio data and a computer readable storage medium, and the method comprises the following steps: acquiring audio data in real time, and identifying drum points in the audio data in real time; acquiring the number of drum points in a current drum point frequency level detection period according to a preset drum point frequency level detection period, and determining a drum point frequency level according to the number of drum points; acquiring the maximum spectral energy sum of drum points in a current drum point energy level detection period according to a preset drum point energy level detection period, and determining a drum point energy level according to the maximum spectral energy sum; controlling the interface light in a next drum point frequency level detection period according to the drum point frequency level, and / or controlling the interface light in a next drum point energy level detection period according to the drum point energy level. The application can enrich the visual effect of a display screen.

This invention discloses a compatibility testing method for frequency-using devices based on a recording and playback device, belonging to the field of wireless communication testing technology. The method constructs a joint action set consisting of desired signal input power levels and interference frequency levels. Under each joint action, it collects and stores IQ sample data of the frequency-using device under test, calculates the bit error rate and the proportion of demodulated effective data, and forms a test trajectory. The IQ sample data is replayed, and a state-action reward function is constructed based on the test trajectory to generate a random testing strategy. During online testing, the candidate interference frequency set is dynamically eliminated based on the threshold power estimate and confidence margin, and backoff control is performed in the unlocked state. Finally, the most unfavorable interference frequency level is located, and the minimum desired signal input power that satisfies the preset bit error rate threshold and the preset demodulated effective data proportion threshold is determined, outputting the digital sensitivity result. This invention can improve the efficiency, stability, and consistency of compatibility testing.

Aspects of the present invention relate to a method for controlling active power output of a renewable energy power plant comprising one or more renewable energy generators. Aspects of the invention may be used to control the active power output of a wind energy power plant and to determine accurate estimates of the available active power when the frequency level of the connected power network is outside of the frequency deadband.

1. The name of the design product: phase sequence relay. 2. The use of the design product: for comparing phase sequence voltage amplitude, frequency level and phase. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

Embodiments of the present disclosure disclose an image compression and image decompression method, device, equipment and storage medium, wherein the image compression method comprises: obtaining a first image; transforming the first image from a spatial domain to a frequency domain to obtain first transform coefficients corresponding to each pixel in the first image; and performing compression processing on the corresponding first transform coefficients by using a target quantization step corresponding to each pixel to obtain first image compression data; the target quantization step corresponding to each pixel is determined according to a frequency level corresponding to the pixel. According to the embodiments of the present disclosure, different quantization steps can be designed according to the frequency level corresponding to each pixel to perform compression processing on the corresponding first transform coefficients, so that the flexibility in the image compression process can be improved.

This invention belongs to the field of high-integration SOC chip technology and discloses a dynamic voltage and frequency adjustment method, device, and terminal equipment. The method includes: obtaining a mapping table; determining the voltage level and frequency level to be adjusted of the subsystem based on the load strength of the subsystem; sending the voltage level and frequency level to be adjusted of multiple subsystems to the DVFS driver; determining, in the mapping table, the target voltage register value corresponding to the maximum voltage value among the multiple voltage values ​​corresponding to the multiple voltage levels to be adjusted, and the target frequency register value corresponding to the maximum frequency value among the multiple frequency values ​​corresponding to the multiple frequency levels to be adjusted; writing the target voltage register value into the register of the power chip and the target frequency register value into the register of the frequency chip; and adjusting the voltage of multiple subsystems to the target voltage value and the frequency to the target frequency value through the DVFS driver. This invention completes the DVFS process without delay.

According to one aspect of the present disclosure, a baseband chip is provided. The baseband chip may include a data plane (DP) subsystem. The DP subsystem may include a DP clock generation unit. The DP clock generation unit may set a frequency level for the DP subsystem. The DP subsystem may include a DP power control unit. The DP power control unit may set a voltage level for the DP subsystem. The DP subsystem may include a microcontroller (uC) cluster. The uC cluster may include a DP frequency / voltage selection component. The DP frequency / voltage selection component may determine a frequency-level adjustment and a voltage-level adjustment associated with a slot based on a set of inputs. The DP frequency / voltage selection component may configure the DP clock generation unit with the frequency-level adjustment. The DP frequency / voltage selection component may configure the DP power control unit with the voltage-level adjustment.

Provided are a refrigerator and a control method therefor. The refrigerator at least comprises a variable frequency controller (8), and the variable frequency controller (8) is used for: controlling a compressor (1) to operate to a target rotational speed level; and when the compressor (1) is operating at the target rotational speed level, adjusting the carrier frequency of the variable frequency controller (8) to the next carrier frequency level step by step until the current energy consumption of the variable frequency controller (8) is greater than or equal to the previous energy consumption of the variable frequency controller (8), stopping step-by-step adjustment, and adjusting the carrier frequency of the variable frequency controller (8) to the previous carrier frequency level.

A neural network computing system includes a processor including heterogeneous computing devices, a memory, a memory controller to control the memory, and a system bus to communicate between the processor and the memory controller. The processor generates a frequency level combination table representing frequency level combinations of hardware devices including a heterogeneous computing device, a memory controller, and a system bus, each frequency level combination maximizes the reduction of the operation time relative to the increment of the energy consumption when the performance level of the neural network model is increased by one level; determining a target performance level; a frequency level combination is selected among the frequency level combinations according to the target performance level, and the hardware device is controlled based on the selected frequency level combination while the neural network model is operated.

The present disclosure relates to the technical field of energy storage system monitoring, and discloses an efficient compression and storage method and device for energy storage monitoring data, which comprises: performing semantic classification on collected energy storage monitoring data, and dividing the data into setting objects, state objects and time sequence objects; for the time sequence objects, dividing them into at least two frequency levels according to their sampling frequencies, and configuring mutually independent storage strategies and life cycles for the time sequence objects of different frequency levels; performing dynamic filtering on the time sequence objects and the state objects before writing the data into storage; and for the time sequence object data whose life cycle expires, performing compression and archiving processing according to the frequency level to which the data belongs. Through classification and shunting of data, and multi-level division and independent storage according to sampling frequencies, the present disclosure enables the data to be separated into "hot-warm-cold" at the physical level, thereby reducing query delay and improving query efficiency.

Provided are a refrigerator and a control method therefor. The refrigerator at least comprises a variable frequency controller (8), and the variable frequency controller (8) is used for: controlling a compressor (1) to operate to a target rotational speed level; and when the compressor (1) is operating at the target rotational speed level, adjusting the carrier frequency of the variable frequency controller (8) to the next carrier frequency level step by step until the current energy consumption of the variable frequency controller (8) is greater than or equal to the previous energy consumption of the variable frequency controller (8), stopping step-by-step adjustment, and adjusting the carrier frequency of the variable frequency controller (8) to the previous carrier frequency level.

This invention provides a method for adjusting compressor frequency and an air conditioner. The method for adjusting compressor frequency includes the following steps: S1. Under moderate operating conditions, several frequency levels are set for the compressor. The target compressor frequency for each level is obtained through a limited number of compressor frequency adjustments, thus obtaining a constant frequency mode frequency table for moderate operating conditions; S2. Under other operating conditions (adverse or suitable conditions), the target frequency corresponding to one level in the constant frequency mode frequency table for moderate operating conditions is selected as the default frequency for the compressor under other operating conditions. By adjusting the level, the compressor frequency is increased or decreased, thereby obtaining a suitable frequency for other operating conditions. The compressor frequency adjustment method of this invention divides frequency control into several levels. When adjusting the compressor, only the level needs to be adjusted, which improves the ease of operation, reduces operational risks, and facilitates the rapid adjustment of a specific frequency.