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Artificial Intelligence English Learning and Recognition System Based on emd algorithm of Vector Geometric Model

WIRELESS NETWORKS 2021年 1-11页

作者： He, Ying Xian Fanyi Univ Coll Translat Studies Xian Shaanxi Peoples R China

How to achieve high-quality conversion between English paper documents and electronic documents has become an urgent problem to be solved. If there are serious deviations, noise and other factors at this stage, it will definitely affect the later work efficiency. In view of this, based on the vector set model emd algorithm, this article builds an artificial intelligence English recognition model under the guidance of machine learning ideas, uses the discrete curvature of the curve to extract extreme points, and controls the scale of each feature by imposing feature scale restrictions on the extreme points. Moreover, in order to calculate the extreme value envelope of the surface, this paper uses the tensor product B-spline to fit the extreme points and perform plane parameterization on the grid. In addition, in order to reduce the error of fitting the curved surface, this paper adopts the parameterization method of free boundary. Finally, this paper designs a control experiment to verify the performance of the model. The research results show that the model constructed in this paper has a certain effect.

关键词： Vector collection emd algorithm Artificial intelligence English recognition

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FPGA and ASIC realisation of emd algorithm for real-time signal processing

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IET CIRCUITS DEVICES & SYSTEMS 2020年第6期14卷 741-749页

作者： Das, Kaushik Nath, Debanjali Pradhan, Sambhu Nath Natl Inst Technol Elect & Commun Engn Dept Agartala India

In this study, the authors have proposed both field-programmable gate array (FPGA) and application specific integrated circuit (ASIC) based realisation of the empirical mode decomposition (emd) algorithm for the real-time signal processing. Here, a single module is used for the calculation of maxima and minima, and another single module is used for the calculation of upper and lower envelopes instead of using separate modules for each calculation. In this work, the traditional cubic spline interpolation has been replaced with sawtooth transform followed by a smoothing module called moving average. In this study firstly, Verilog-HDL code for the emd is written using Xilinx Vivado and tested in the simulation phase, later dumped into Digilentinc Basys 3 FPGA board to do the hardware verification. For ASIC, the code is synthesised using Cadence Genus tool with the semi-conductor laboratory 180 nm cell library and the layout is made in the Cadence Innovus tool. The proposed emd can work with a clock/sampling rate up to 25 MHz and has a layout area of 3.9 mm(2). For the reduction of power consumption of the overall system, clock gating has been used which helps to reduce the dynamic power of the modules, when they are not in use.

关键词： application specific integrated circuits hardware description languages interpolation field programmable gate arrays splines (mathematics) integrated circuit design signal processing Hilbert transforms logic design mathematics computing ASIC emd algorithm real-time signal processing empirical mode decomposition algorithm traditional cubic spline interpolation smoothing module Verilog-HDL code Digilentinc Basys 3 FPGA board semiconductor laboratory cell library field-programmable gate array application specific integrated circuit sawtooth transform Xilinx Vivado simulation phase hardware verification Cadence Genus tool Cadence Innovus tool power consumption reduction clock gating dynamic power reduction moving average size 180 0 nm frequency 25 0 MHz

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The Effect of ENSO on Wheat Futures based on emd and GARCH model

The Effect of ENSO on Wheat Futures based on EMD and GARCH m...

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World-Association-of-Science-Engineering Global Congress on Science Engineering (GCSE 2010)

作者： Lou Yingjun Lu Lina Zhu Lijie Zhejiang Gongshang Univ Sch Finance Hangzhou Zhejiang Peoples R China Zhejiang Gongshang Univ Zhang Naiqi Honors Coll Hangzhou Zhejiang Peoples R China

ISBN: (纸本)9780878492121

At present, most of the studies on the relationship between El Nino Southern Oscillation and agricultural futures focus on perceptual analyses and directly data analysis, and these discussions are usually limited to futures price. This article uses emd algorithm to decompose Wheat futures prices and denoised ENSO index, and finally gets the negative relationship between El Nino Southern Oscillation and wheat Futures prices. Then, this article conducts the comparative analysis of operation performance based on El Nino Southern Oscillation, finding that this mode of operation can greatly increase yields, which further explains the practical significance of ENSO. In order to explore the impact of El Nino Southern Oscillation on wheat futures yields, use classic GARCH models, transform ENSO index into virtual variables, respectively introduce them into the mean value equation and conditional variance equation. After analysis, the conclusion shows that the impact is mainly on the volatility of return rate, which reminds traders of considering risk management first.

关键词： ENSO wheat futures emd algorithm trading analysis GARCH

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emd-LSTM based deep learning inbound and outbound passenger flow prediction 2021

EMD-LSTM based deep learning inbound and outbound passenger ...

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2nd International Conference on Artificial Intelligence and Information Systems (ICAIIS )

作者： Chen, Junxi Cao, Liangben Yu, Kaihan Sichuan Agr Univ Coll Informat Engn Yaan 625014 Sichuan Peoples R China

ISBN: (纸本)9781450390200

As the subway has become one of the major modes of travel for people, the demand for rail transportation has increased. With effective algorithms and models, predicting the number of people entering and exiting the station in the future can play a crucial role for the railroads to regulate the trains in a reasonable way. In this paper, the real data of 28 days are decomposed by emd algorithm, and multiple IMF components and one Res residual are decomposed. The decomposed IMF components are sequentially analyzed with the original data by Spearman correlation analysis and Kendall correlation analysis, and the IMF components with higher correlation are selected. The selected IMF components are trained together with the original data by LSTM model to derive the predicted passenger flow for the following week.

关键词： Big data neural network emd algorithm Spearman Kendall rail transit

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Fault Diagnosis of Rolling Bearing based on emd Combined with HHT Envelope and Wavelet Spectrum Transform

Fault Diagnosis of Rolling Bearing based on EMD Combined wit...

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IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS)

作者： Ma Yabin Chen Chen Shu Qiqi Wang Jian Liu Hongliang Huang Darong State Grid Anhui Elect Power Res Inst Hefei 230000 Anhui Peoples R China Nari Beijing Jiehong Technol Co Ltd Beijing 100000 Peoples R China Chongqing Jiaotong Univ Coll Informat Sci & Engn Chongqing 400074 Peoples R China

ISBN: (纸本)9781538626184

A novel method based on Hilbert Transform (HT) and Empirical Mode Decomposition (emd) algorithm is proposed in this paper, which separates time series into intrinsic mode functions (IMFs) with different time scales and applies the Hilbert transformation for every IMF to obtain the Hilbert spectrum. Firstly, relevant theories of the proposed method are introduced. Then, based on these theoretical introductions, the fault vibration signals of rolling bearing are dealt with related algorithm. The research results demonstrate that the characteristic frequency of bearing fault can be obtained by proposed method, which is more effective compared with existing algorithm.

关键词： Fault diagnosis emd algorithm HHT algorithm wavelet envelope spectrum characteristic frequency

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An Efficient algorithm to Identify Strong Pulse-Like Ground Motions Based on the Smoothed Significant Velocity Half-Cycles

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JOURNAL OF EARTHQUAKE ENGINEERING 2024年第10期28卷 2699-2715页

作者： Li, Cuihua Meng, Ke Guo, Yu Zhejiang Univ Technol Coll Civil Engn Pingfeng Campus288 Liuhe Rd Hangzhou 310023 Zhejiang Peoples R China Zhejiang Key Lab Civil Engn Struct & Disaster Prev Hangzhou Peoples R China

This study proposes a new algorithm based on the smoothed Significant Velocity Half-Cycles for efficient and accurate identification of pulse-like velocity ground motions. The empirical-mode decomposition (emd) based algorithm is initially employed with providing some valuable insights into its failure. Next, a concept of riding waves is presented and two additional criteria are established. The proposed algorithm is demonstrated to successfully exclude the ambiguous records with insignificant pulse characteristics when compared with six benchmark identification methods. This article also provides a dataset of 325 strong pulse-like records identified from the NGA-West2 database, which is practical importance in earthquake engineering field.

关键词： Pulse-like ground motion identification significant velocity half cycles smoothing riding waves emd algorithm

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Map matching for travel route identification based on Earth Mover's Distance algorithm using wireless cell trajectory data

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JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS 2021年第6期25卷 644-656页

作者： Yao, Zhenxing Wang, Yanchen Yang, Fei Cheng, Yang Ran, Bin Changan Univ Coll Transportat Engn Xian Peoples R China Southwest Jiaotong Univ Sch Transportat & Logist 999 Xian Rd Chengdu 610031 Peoples R China Univ Wisconsin Dept Civil & Environm Engn Madison WI 53706 USA

Precise travel route identification is the guiding basis of feasible urban traffic planning and modeling. A range of map matching (MM) algorithms have been studied in previous research to integrate coordinate-based GPS data with digital road network information to identify personal travel route. However, these methods significantly depend on the high-density positioning data, which are usually unavailable or costly for transportation planning projects. Fortunately, mobile phones under 3 G, 4 G and 5 G networks can generate massive cell-based travel trajectory data with almost no additional cost. This data is potentially valuable for travel route identification if proper MM algorithms can be developed. This paper proposes an MM method to detect travel route by using handoff trajectory data from the cellular phone network. First, a wireless communication simulation model for dynamic cellular handoff-based traffic monitoring is developed for handoff data collection. Second, the Earth Mover's Distance (emd) algorithm is used to identify travel route by finding the time-space relationship among the cellular handoff patterns of the road network. Finally, by comparing the performance of the proposed method with classical sequence similarity algorithms, results indicate that the emd-based MM algorithm is much more efficient for travel route identification, and it can detect small spacing parallel roads with a high accuracy.

关键词： emd algorithm handoff data map matching travel route identification

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Research on multiscale features and integrated forecasting of the Belt and Road exchange rate index

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CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 2021年第6期33卷 e6053-e6053页

作者： Cui, Yixi Liu, Zixin Li, Ziran Guo, Kun Sun, Yishan Univ Chinese Acad Sci Sch Econ & Management 80 Zhongguancun East St Beijing 100190 Peoples R China Univ Chinese Acad Sci Key Lab Big Data Min & Knowledge Management Beijing Peoples R China Minzu Univ China Beijing Peoples R China CFFEX Inst Financial Derivat Beijing Peoples R China ESCP Business Sch Paris France

Massive progress and fruitful results have been achieved since the implementation of the Belt and Road Initiative (B&R). However, the risk of exchange rate between countries along the Belt and Road cannot be ignored. In this paper, we propose a B&R exchange rate index to evaluate the currency risk of countries along the B&R, along with a research on the multiscale features of the B&R exchange rate index and the effective RMB exchange rate index using the emd algorithm. Then, we propose an integrated forecasting approach. We adopt the emd algorithm and the Grey Relational Analysis to decompose and reconstruct the B&R exchange rate index and the effective RMB exchange rate index into three subsections with different volatility characteristics. The prediction outcome of the integrated model for the original series equals a sum of the Auto-regressive Integrated Moving Average model for trend term and the Long Short-Term Memory model for market fluctuation term as well as noise term. The results of our prediction demonstrate a much better performance of our proposed integrated forecasting model than pure methods. Lastly, several suggestions are put forward to help relevant enterprises effectively avoid and manage the exchange risks.

关键词： belt and road exchange rate index emd algorithm integrated forecasting model multiscale features

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Cavitation pulse extraction and centrifugal pump analysis

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JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY 2017年第3期31卷 1181-1188页

作者： Li, Hong Yu, Bo Qing, Biao Luo, Shaoran Univ Elect Sci & Technol China Dept Automat Engn Chengdu 611731 Peoples R China Xihua Univ Key Lab Fluid & Power Machinery Minist Educ Chengdu 610039 Peoples R China

This study extracted cavitation pulses from hydrophone signals sampled in a centrifugal pump and analyzed their characteristics. The modified and simplified Empirical mode decomposition (emd) algorithm was proposed for extracting cavitation pulses from strong background noise. Experimental results showed that emd can effectively suppress noise and obtain clear cavitation pulses, facilitating the identification of the number of pulses associated with the degree of cavitation. The cavitation characteristics were modeled to predict the value of incipient cavitation. Then, we proposed a method for detecting the wear of the impeller surface. That is, the information on the impeller surface of the centrifugal pump, including the roughness of the impeller surface and its wear trends, were quantified based on the net positive suction head available of incipient cavitation. The findings indicate that the proposed technique is suitable for condition monitoring of the pump.

关键词： Cavitation Centrifugal pump emd algorithm Denoising Impeller surface Condition monitoring

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Improved signal analysis performance at low sampling rates using raised cosine empirical mode decomposition

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ELECTRONICS LETTERS 2010年第2期46卷 176-U107页

作者： Roy, A. Doherty, J. F. Penn State Univ Dept Elect Engn University Pk PA 16802 USA

Successful signal analysis using the empirical mode decomposition (emd) algorithm requires a high degree of oversampling. This requirement arises from the need to precisely identify the local extrema of the signal to recover the signal envelope using natural cubic spline interpolation. Here, an emd algorithm is introduced that uses the raised cosine interpolant. Raised cosine interpolation allows high fidelity reconstruction of the signal envelope when the local extrema cannot be precisely identified owing to low sampling rates. The superior signal analysis performance of this technique at low sampling rates is demonstrated using synthetic signals.

关键词： emd algorithm cubic spline interpolation high fidelity reconstruction interpolation low sampling rate raised cosine empirical mode decomposition raised cosine interpolation signal analysis signal envelope signal reconstruction signal sampling splines (mathematics) synthetic signal

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