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Research on dynamic time warping algorithm and intelligent financial management system based on heterogeneous cellular network

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SOFT COMPUTING 2023年 1-11页

作者： Lu, Mengqiu Wuhan Huaxia Inst Technol Dept Finance & Accounting Wuhan 430223 Hubei Peoples R China

This article focuses on user-centered site collaboration strategies. The main site collaboration of the collaboration framework is to provide services to target users. First, the same cellular network is modeled according to the same Poisson point process model to indicate the target user's radius formula;the energy consumption and user level of the collaboration set are related to the collaboration radius, and a specific user level is created. Solve the optimization problem with the lowest energy consumption in a set of collaborative requirements. And based on the traditional dynamic time warping algorithm (DTW) that deals with unequal length vectors in one-dimensional samples, this article focuses on the similarity between spatial two-dimensional matrix samples, improves research from different perspectives, and expands the construction of the processing matrix. The new algorithm of sample DTW is used to solve the problem of distance measurement between matrix samples and unequal size matrix samples. Based on the traditional dynamic time warping algorithm, a line-by-line DTW smart finance is proposed. The algorithm uses the distance matrix to calculate the DTW distance by calculating the DTW distance between the rows of the matrix samples, introduces the intermediate distance matrix, and uses the distance matrix to calculate the DTW distance. The standardized DTW distance is used as the final matrix distance. Multiple DTW distance calculations significantly improve the matrix samples. Finally, perform functional realization and system testing on the designed system, and confirm the normal operation of the financial management system based on the test results. This paper is mainly based on the dynamic time warping algorithm for heterogeneous cellular networks and applies it to the research of intelligent financial management system to improve the efficiency of financial management.

关键词： Heterogeneous cellular network dynamic time warping algorithm Intelligent finance Management system

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Capacity Estimation of Serial Lithium-ion Battery Pack Using dynamic time warping algorithm

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IEEE ACCESS 2019年 7卷 174687-174698页

作者： Liu, Yang Zhang, Caiping Jiang, Jiuchun Jiang, Yan Zhang, Linjing Zhang, Weige Beijing Jiaotong Univ Natl Act Distribut Network Technol Res Ctr Beijing 100044 Peoples R China Shenzhen Precise Testing Technol Co Ltd Shenzhen 518108 Peoples R China

The existence of the consistency degradation of the battery pack hinders the accurate estimation of pack capacity and cell capacity in the battery pack. The paper focuses on the capacity estimation of cells in the serial battery pack. The shape invariance of the charging voltage curve is discussed and used as the theoretical foundation of cell capacity difference identification. The matching relationship between two voltage curves is obtained based on the dynamic time warping algorithm. Then the capacity difference identification algorithm to calculate the capacity difference between the two cells is proposed. Based on the algorithm, a three-step capacity estimation method is established. The proposed method can only use the previous charging curve of one cell in the pack and the current charging data of the battery pack to rapidly estimate the capacity of each cell in the battery pack. A 16 serial LiFePO4 battery pack is employed to verify the method. The result shows the estimation error of cell capacities is less than 3% rated capacity. With this method, the cell capacities in the pack can be rapidly and accurately estimated, providing a foundation for the consistency analysis and equalization of the battery pack.

关键词： Charging voltage curve dynamic time warping algorithm capacity estimation lithium-ion battery pack

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ON MINIMIZING MEMORY IN SYSTOLIC ARRAYS FOR THE dynamic time warping algorithm

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INTEGRATION-THE VLSI JOURNAL 1986年第2期4卷 155-173页

作者： DIJKSTRA, E PIGUET, C CTR SUISSE ELECTR & MICROTECHN SA CH-2000 NEUCHATELSWITZERLAND

New systolic architectures have been evaluated for the dynamic time warping (DTW) algorithm. This algorithm is a non-linear pattern matching technique used in isolated and continuous speech recognition systems. The proposed systolic decomposition for the DTW algorithm combines simultaneously (1) simple and regular systolic communication schemes and (2) a decomposition strategy which aims at a minimum amount of memory. This approach has led to a systolic architecture which is relatively flexible, compact and easy to test. Several arrays can be built up by keeping the same decomposition of the DTW-algorithm. This allows an easy exchange, depending on the desired application, of execution speed against chip-area.

关键词： Speech recognition arrays of systolic processors dynamic time warping algorithm bit-serial computation testability of systolic arrays area-saving decompositions of algorithms

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Application of image optical detection based on dynamic time warping algorithm in dance teaching

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OPTICAL AND QUANTUM ELECTRONICS 2024年第3期56卷 287-287页

作者： Huang, Hailing Zhu, Hongwen YuZhang Normal Univ Nanchang 330000 Jiangxi Peoples R China

With the continuous development of computer technology and the deepening of mathematical theory research, the combination of mathematics and computer pattern recognition technology has penetrated into various fields of scientific research and social production. In order to accurately detect and analyze students' movements in dance teaching, a new optical detection method is proposed in this study, which uses dynamic time distortion algorithm to accurately identify and analyze dance movements. The dynamic time warping algorithm is used to compare two time series and is applied to the detection of dance movements to realize the accurate identification and analysis of students' movements. The dance video data is collected and pre-processed into time series data, and then each time series is compared and analyzed using a dynamic time warping algorithm, and key movement features are extracted. Finally, the machine learning model is trained to classify and evaluate the students' movements. The experimental results show that the optical detection method based on dynamic time distortion algorithm can achieve high accuracy and precision in dance teaching. When applied to dance teaching, it has high accuracy and precision in detecting dance movements, which is expected to provide effective tools and support for dance teaching.

关键词： dynamic time warping algorithm Image optical detection Dance teaching Practical application

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Evaluating ecosystem stability based on the dynamic time warping algorithm: A case study in the Minjiang river Basin, China

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ECOLOGICAL INDICATORS 2023年第1期154卷

作者： Ding, Hao Yuan, Zhe Yin, Jun Shi, Xiaoliang Shi, Mengqi Xian Univ Sci & Technol Coll Geomatics Xian 710054 Peoples R China Changjiang River Sci Res Inst Changjiang Water Resources Commiss Minist Water Re Wuhan 430010 Peoples R China Hubei Key Lab Water Resources & Ecoenvironm Sci Wuhan 430010 Peoples R China Hubei Univ Fac Resources & Environm Sci Dept Geog Sci Wuhan 430062 Peoples R China

With the ongoing impacts of global climate change, the cumulative stress effects of external disturbances on ecosystems are gradually strengthening. Therefore, it is very important to scientifically evaluate the stability of ecosystems. In the terrestrial ecosystems, vegetation serves as a link between the water, energy, and carbon cycles, and is an important index which allows for the measurement of ecosystem stability. In this study, two vegetation indices (normalized difference vegetation index and enhanced vegetation index), along with solarinduced chlorophyll fluorescence data from 2001 to 2021, were used to determine the external disturbance events in the Minjiang river basin using a dynamic time warping (DTW) algorithm. Analyses of the disturbance characteristics during this period, and quantification of the vegetation resistance, resilience, and vegetation regime shift rate were conducted. The results indicated the following. (1) The disturbance results monitored by the DTW algorithm were highly consistent with typical events, and it was feasible to monitor the disturbance of the Minjiang river basin using the DTW algorithm. (2) Disturbance intensity in the river basin increased slightly, while in urban areas it decreased. (3) The resistance of different types of vegetation varied greatly, with the resistance strongest in forests, next in croplands, and weakest in grasslands. In contrast, resilience was the strongest in croplands, next in grasslands, and weakest in forests. (4) The vegetation growth state of the river basin was more significantly affected by external disturbance in 2001-2021, with 58.75% of forest, 54.37% of grassland, and 37.21% of cropland having regime shift rates < 1. Lastly, (5) the response of vegetation to external disturbance was diverse under different disturbance scenarios, with the vegetation recovery rate under gradual disturbance being greater than the rate under abrupt disturbance.

关键词： Ecological system stability dynamic time warping algorithm Minjiang river basin Gradual disturbance Abrupt disturbance

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Off-line Signature Verification based on Modified dynamic time warping algorithm

Off-line Signature Verification based on Modified Dynamic Ti...

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31st Chinese Control Conference

作者： Tian Wei Lv Jing-yuan Univ Jinan Sch Elect Engn Jinan 250022 Peoples R China Shandong Prov Publ Secur Dept Jinan 250001 Peoples R China

ISBN: (纸本)9789881563811

This work presents an innovative approach for off-line signature verification based on modified dynamic time warping (DTW) algorithm. Conventional DTW does not account for the relative importance regarding the phase difference between a reference point and a testing point, By using the projection profiles of signatures, the scheme employed Projection stability Point and Projection stability factor which acted as weighted DTW, in order to prevent minimum distance distortion caused by outliers.. The databases of English signatures are applied to the experiments and the average error rates of 11.4% are obtained to verify the effectiveness of the proposed system.

关键词： signature verification dynamic time warping algorithm projection feature

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Application of dynamic time warping optimization algorithm in speech recognition of machine translation

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HELIYON 2023年第11期9卷 e21625页

作者： Jiang, Shaohua Chen, Zheng Fujian Univ Technol Sch Humanities Fuzhou 350118 Peoples R China Krirk Univ Bangkok 10220 Thailand Fujian Normal Univ Concord Univ Coll Fuzhou Fujian Peoples R China

Speech recognition is the foundation of human-computer interaction technology and an important aspect of speech signal processing, with broad application prospects. Therefore, it is very necessary to recognize speech. At present, speech recognition has problems such as low recognition rate, slow recognition speed, and severe interference from other factors. This paper studied speech recognition based on dynamic time warping (DTW) algorithm. By introducing speech recognition, the specific steps of speech recognition were understood. Before performing speech recognition, the speech that needs to be recognized needs to be converted into a speech sequence using an acoustic model. Then, the DTW algorithm was used to preprocess speech recognition, mainly by sampling and windowing the speech. After preprocessing, speech feature extraction was carried out. After feature extraction was completed, speech recognition was carried out. Through experiments, it can be found that the recognition rate of speech recognition on the basis of DTW algorithm was very high. In a quiet environment, the recognition rate was above 93.85 %, and the average recognition rate of the 10 selected testers was 95.8 %. In a noisy environment, the recognition rate was above 91.4 %, and the average recognition rate of the 10 selected testers was 93 %. In addition to high recognition rate, DTW based speech recognition also had a very fast speed for vocabulary recognition. Based on the DTW algorithm, speech recognition not only has a high recognition rate, but also has a faster recognition speed.

关键词： Speech recognition dynamic time warping algorithm Feature extraction Deep learning algorithm

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An automatic landmarking algorithm for leaf morphology based on conformal mapping

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COMPUTERS AND ELECTRONICS IN AGRICULTURE 2025年 234卷

作者： Zhong, Peige Liu, Xiaojun Ye, Yulu Zhang, Rui Zhou, Hu Guo, Yan Li, Baoguo Zhu, Jinyu Ma, Yuntao Chinese Acad Agr Sci Inst Vegetables & Flowers Beijing 100081 Peoples R China China Agr Univ Coll Land Sci & Technol Beijing 100091 Peoples R China China Agr Univ Coll Sci Beijing 100091 Peoples R China Chinese Acad Agr Sci Biotechnol Res Inst Beijing 100081 Peoples R China

Leaf shape is of great significance in plant phenotype research. Landmarks method is a widely used morphometric approach, which can comprehensively describe the morphological differences among leaves. However, the selection of landmarks is time-consuming and laborious. An automatic landmarking algorithm is proposed here. Based on conformal mapping, the leaf outline can be transformed into a monotonically increasing function curve, referred to as the 'fingerprint function'. The dynamic time warping (DTW) algorithm was introduced to match landmarks between different leaves. Two leaf datasets were used to validate the algorithm separately in different species and developmental stages. Dataset1 is a public dataset which covers 26 different types of leaves. The average positional difference between automatic and manual landmarks for dataset1 was only 2.95%. Dataset2 consists of cotton leaves collected in the field at various growth stages, and the positional difference for this dataset was all below 5%. These results validate that our algorithm is applicable to a wide range of leaf types and capable of identifying and locating novel features that emerge during leaf growth. The automatic landmarking algorithm can simulate manual landmarking to a great extent. It provides a new approach for automated acquisition of plant leaf shape homology tailored to the research needs of botanists.

关键词： Morphometric Conformal mapping dynamic time warping algorithm Leaf phenotyping Biological homology

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Spatiotemporal variation in methylmercury and related water quality variables in a temperate river under highly dynamic hydrologic conditions

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SCIENCE OF THE TOTAL ENVIRONMENT 2024年 932卷 173090页

作者： Jung, Eunji Park, Sungsook Kim, Hyunji Han, Seunghee Gwangju Inst Sci & Technol GIST Sch Earth Sci & Environm Engn Gwangju 61005 South Korea Gwangju Inst Sci & Technol Res Ctr Innovat Energy & Carbon Optimized Synth Ch Gwangju 61005 South Korea Natl Inst Environm Res NIER Incheon 22689 South Korea

The understanding of the essential environmental factors affecting the spatiotemporal variation in methylmercury (MeHg) in river water is limited to date, despite its importance for predicting the effect of ongoing climate change on MeHg accumulation in freshwater ecosystems. This study aimed to explore the variation in MeHg concentration and related environmental factors in the downstream zone of the Yeongsan River under highly dynamic hydrologic conditions by using water quality and hydrologic data collected from 1997 to 2022, and Hg and MeHg data collected from 2017 to 2022. The mean concentration of unfiltered MeHg was 35.7 +/- 13.7 pg L-1 (n = 24) in summer and 26.7 +/- 7.43 pg L-1 (n = 24) in fall. Dissolved oxygen (DO), conductivity, nitrate, and dissolved organic carbon (DOC) were determined to be the most influential variables in terms of MeHg variation based on the partial least squares regression model, and their effects on the MeHg concentration were negative, except for DOC. Heatmaps representing the similarity distances between temporal trends of hydrologic and water quality variables were constructed to determine fundamental factors related to the time-based variations in DO, conductivity, nitrate, and DOC using a dynamic time warping algorithm. The heatmap cluster analysis showed that the temporal trends of these variables were closely related to rainfall variation rather than irradiance or water temperature. Overall, biogeochemical factors directly related to in situ methylation rate of Hg(II)-rather

关键词： Methylmercury dynamic time warping algorithm Rainfall Dissolved oxygen Stratification

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An EMG-based Handwriting Recognition through dynamic time warping

An EMG-based Handwriting Recognition through Dynamic Time Wa...

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32nd Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBC 10)

作者： Huang, Gan Zhang, Dingguo Zheng, Xidian Zhu, Xiangyang Shanghai Jiao Tong Univ State Key Lab Mech Syst & Vibrat Shanghai 200240 Peoples R China

ISBN: (纸本)9781424441242

In this paper, an electromyography (EMG)-based handwriting recognition method was proposed for a latent tendency of natural user interface. The subjects wrote the characters at a normal speed, and six channels of EMG signals were recorded from forearm muscles. The dynamic time warping (DTW) algorithm was used to eliminate the time axis variance during writing. The process for template making and matching was illustrated diagrammatically. The results showed that no more than ten training trials per character could make an accuracy of above 90%. The recognition performance was compared in three character sets: digits, Chinese characters and capital letters.

关键词： Chinese character set DTW algorithm EMG based handwriting recognition biomechanics capital letter character set digit character set dynamic time warping algorithm electromyography electromyography forearm muscles handwriting recognition natural user interface signal processing template making template matching user interfaces

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