Evaluation of biological speckle activity: Using variational mode decomposition

Tang, Xin; Zhong, Ping; Li, Zhisong; Gao, Yinrui; Hu, Haowei

doi:10.1016/j.ijleo.2021.167475

Cited by 4 publications

(2 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(2) Use the alternating direction multiplier method to solve the unconstrained variational problem mentioned above, in order to obtain the optimal solution of the problem [9]. The formula for iteratively updating the intrinsic mode components and center frequency is as follows:…”

Section: Basic Principles Of Variational Modal Decompositionmentioning

confidence: 99%

Ultra-Short-term Electric Load Forecasting Based on VMD-BiLSTM Model

Chen,

Ma,

Chen

2023

AETR

View full text Add to dashboard Cite

Fast and accurate ultra-short-term load forecasting is beneficial for building an efficient and modern smart grid. This paper proposes an ultra-short-term load forecasting model based on Variational Mode Decomposition (VMD) and improved Bi-directional Long Short-Term Memory (BiLSTM) network. The model first decomposes the complex load historical sequence using VMD, reducing the non-stationarity and complexity of the load sequence to facilitate the prediction task using neural networks. Then, the improved BiLSTM network is used to allow input data to skip some transformations in the network, thereby deeply and bidirectionally mining various hidden information from historical sequences. Finally, this paper selects temperature as the factor most correlated with power load forecasting and incorporates it into the prediction process to achieve effective ultra-short-term load forecasting. Compared with existing models such as LSTM, SVM, LeNet, DRNet4-7, and unimproved VMD-BiLSTM based on example data, the simulation results show that the proposed model can predict the load changes within one hour in the future, achieving ultra-short-term load forecasting, and has good prediction accuracy and algorithm robustness.

show abstract

Section: Basic Principles Of Variational Modal Decompositionmentioning

confidence: 99%

Ultra-Short-term Electric Load Forecasting Based on VMD-BiLSTM Model

Chen,

Ma,

Chen

2023

AETR

View full text Add to dashboard Cite

show abstract

“…An empirical mode decomposition was introduced to evaluate different activity levels in the time-frequency plane [24]. Some limitations of this method were removed later by using a variational mode decomposition [25]. The SVD was used for spatio-temporal characterization of activity by dividing speckle images into blocks [26].…”

Section: Introductionmentioning

confidence: 99%

Dynamic speckle imaging with SVD compression

Stoykova

Levchenko

Ivanov

et al. 2022

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

Dynamic speckle imaging (DSI) of areas with different speed of processes ongoing in industrial or biological objects relies on statistical processing of a large number of images of the speckle patterns formed on the objects surface under laser illumination. The DSI visualizes the speed spatial distribution as an activity map. We propose compression of the raw DSI data by applying singular value decomposition (SVD). A specific feature of speckle images for DSI is lack of a structure with areas of close intensity values. The gain from the direct SVD application may be modest in cases when a great number of non-zero singular values is needed to build an activity map comparable in quality to the ground truth map from bitmap images. For higher compression, we propose SVD to be applied to the 2D arrays containing the differences between the successive images. The SVD compression has been verified by using synthetic and experimental data.

show abstract

An overview on optical non-destructive detection of bruises in fruit: Technology, method, application, challenge and trend

Mei,

2023

Computers and Electronics in Agriculture

View full text Add to dashboard Cite

Evaluation of biological speckle activity: Using variational mode decomposition

Cited by 4 publications

References 50 publications

Ultra-Short-term Electric Load Forecasting Based on VMD-BiLSTM Model

Ultra-Short-term Electric Load Forecasting Based on VMD-BiLSTM Model

Dynamic speckle imaging with SVD compression

An overview on optical non-destructive detection of bruises in fruit: Technology, method, application, challenge and trend

Contact Info

Product

Resources

About