Results 21 to 30 of about 10,804 (144)
Proceedings of the International Florida Artificial Intelligence Research Society ConferenceDynamic time warping (DTW) is a widely used metric for comparing time series data, offering elasticity in alignment. While the original DTW allows infinite elasticity without penalty, the wDTW imposes a constant penalty regardless of elastic length.
Sung-Hyuk Cha, Teryn Cha, Teja Vuppu
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Subsequence Join in Streaming Time Series under Dynamic Time Warping
Vietnam Journal of Computer ScienceSubsequence join in time series is to search for couples of similar subsequences from multiple time series. The task is useful in data mining on time series; nevertheless, it is extremely difficult because of its enormous computational cost.
Bui Cong Giao, Duong Tuan Anh
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Perbandingan Kualitas Suara Smartphone Menggunakan Metode Dynamic Time Warping (DTW)
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2021 Smartphones are telecommunication devices that play a significant role in daily life. The sound quality produced by a smartphone becomes important for users, considering that poor sound quality might cause misunderstandings in communication.
Inas Salsabila +2 more
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Efficient alignment-based average delay time estimation in fluctuating delayed propagation
Array, 2022 We propose an alignment-based average delay time estimation algorithm between two time series in the propagation of time-varying delay. Though the number of the minimum cost alignments may be exponential in the length of the time series, the proposed ...
Atsuyoshi Nakamura, Tatsuya Hayashi
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Online coherence identification using dynamic time warping for controlled islanding
Journal of Modern Power Systems and Clean Energy, 2018 Controlled islanding is considered to be the last countermeasure to prevent a system-wide blackout in case of cascading failures. It splits the system into self-sustained islands to maintain transient stability at the expense of possible loss of load ...
Hasan Ul Banna +7 more
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Co-movement of Commodity Prices - Results from Dynamic Time Warping Classification
Zeszyty Naukowe Uniwersytetu Ekonomicznego w Krakowie, 2015 Several factors are responsible for difficulties in describing the behaviour of commodity prices. Firstly, there are numerous different categories of commodities. Secondly, some categories overlap with other categories, while others indirectly compete in
Sławomir Śmiech
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ANALYSIS OF DYNAMIC TIME WARPING IN THE DEVELOPMENT OF GROSS REGIONAL DOMESTIC PRODUCT YOGYAKARTA
Jurnal Riset Informatika, 2022 Poverty in Indonesia has become a common thing that is still difficult to handle due to the presence of the covid virus outbreak attacks are causing the inability to buy and sell transactions, export and import goods and services, then the level of ...
Inggrid Septa Narendra, Muhammad Muhajir
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Geochemistry, Geophysics, Geosystems, 2020 Variations in sedimentation rate, bioturbation, winnowing, and dissolution modify the deep‐sea sedimentary record, complicating the apparent relationship between stratigraphic depth and time of a geochemical proxy record and confounding the extraction of
Seyi Ajayi +5 more
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On the Distribution of Muscle Signals: A Method for Distance-Based Classification of Human Gestures
Sensors, 2023 We investigate the distribution of muscle signatures of human hand gestures under Dynamic Time Warping. For this we present a k-Nearest-Neighbors classifier using Dynamic Time Warping for the distance estimate.
Jonas Große Sundrup, Katja Mombaur
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Covariance Features for Trajectory Analysis
Elektronika ir Elektrotechnika, 2018 In this work, it is demonstrated that covariance estimator methods can be used for trajectory classification. It is shown that, features obtained via shrunk covariance estimation are suitable for describing trajectories. Compared to Dynamic Time Warping,
Talha Karadeniz, Hakan Hadi Maras
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