Results 161 to 170 of about 15,984 (207)
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Industrial & Engineering Chemistry Research, 2011
Fault diagnosis is important for ensuring chemical processes stability and safety. The strong nonlinearity and complexity of batch chemical processes make such diagnosis more difficult than that for continuous processes. In this paper, a new fault diagnosis methodology is proposed for batch chemical processes, based on an artificial immune system (AIS)
Yiyang Dai, Jinsong Zhao
semanticscholar +2 more sources
Fault diagnosis is important for ensuring chemical processes stability and safety. The strong nonlinearity and complexity of batch chemical processes make such diagnosis more difficult than that for continuous processes. In this paper, a new fault diagnosis methodology is proposed for batch chemical processes, based on an artificial immune system (AIS)
Yiyang Dai, Jinsong Zhao
semanticscholar +2 more sources
An enhanced dynamic time warping model for improved estimation of DTW parameters
IEEE Transactions on Speech and Audio Processing, 2003We introduce an enhanced dynamic time warping model (EDTW) which, unlike conventional dynamic time warping (DTW), considers all possible alignment paths for recognition as well as for parameter estimation. The model, for which DTW and the hidden Markov model (HMM) are special cases, is based on a well-defined quality measure.
R. Yaniv, D. Burshtein
semanticscholar +2 more sources
2007 5th Student Conference on Research and Development, 2007
This paper is focused on Malay speech recognition with the intention to introduce a decision fusion technique for isolated Malay digit recognition using Dynamic Time Warping (DTW) and Hidden Markov Model (HMM). This study proposes an algorithm for decision fusion of the recognition models.
Syed Abdul Rahman Al-Haddad +4 more
semanticscholar +2 more sources
This paper is focused on Malay speech recognition with the intention to introduce a decision fusion technique for isolated Malay digit recognition using Dynamic Time Warping (DTW) and Hidden Markov Model (HMM). This study proposes an algorithm for decision fusion of the recognition models.
Syed Abdul Rahman Al-Haddad +4 more
semanticscholar +2 more sources
arXiv.org, 2023
The Dynamic Time Warping (DTW) distance is a popular similarity measure for polygonal curves (i.e., sequences of points). It finds many theoretical and practical applications, especially for temporal data, and is known to be a robust, outlier-insensitive
K. Bringmann +5 more
semanticscholar +1 more source
The Dynamic Time Warping (DTW) distance is a popular similarity measure for polygonal curves (i.e., sequences of points). It finds many theoretical and practical applications, especially for temporal data, and is known to be a robust, outlier-insensitive
K. Bringmann +5 more
semanticscholar +1 more source
IEEE transactions on industrial electronics (1982. Print), 2023
The widespread penetration of electric bicycles (E-bicycles) raises numerous charging safety concerns. However, online diagnosis of charging safety for E-bicycles remains challenging due to the limited data and involvement of multiple factors, such as ...
Chunyan Shuai +5 more
semanticscholar +1 more source
The widespread penetration of electric bicycles (E-bicycles) raises numerous charging safety concerns. However, online diagnosis of charging safety for E-bicycles remains challenging due to the limited data and involvement of multiple factors, such as ...
Chunyan Shuai +5 more
semanticscholar +1 more source
IEEE Geoscience and Remote Sensing Letters, 2023
Rich datasets related to the Earth have been obtained because of the rapid development of Earth observation technologies. A broad range of prior research has investigated how to obtain the correlation relationships of relevant features from a large ...
Yiming Liu +8 more
semanticscholar +1 more source
Rich datasets related to the Earth have been obtained because of the rapid development of Earth observation technologies. A broad range of prior research has investigated how to obtain the correlation relationships of relevant features from a large ...
Yiming Liu +8 more
semanticscholar +1 more source
Dynamic Time Warping (DTW) based GNSS Interference Detection Algorithm for Edge Devices
The International Technical Meeting of the The Institute of Navigation, 2021Edge computing combines low power consumption with high compute capability for edge devices needing robust processing and recognition capability. This paper explores developing a Dynamic Time Warping (DTW) GNSS interference detection algorithm designed to operate on an ultra-low power, high-performance multicore microcontroller for edge devices. This
Wilbur Myrick +2 more
openaire +1 more source
IEEE Signal Processing Letters, 2023
Similarity measure of time series with different sampling frequencies is vitally important for many signal processing applications. Dynamic Time Warping (DTW) is one of the most popular methods for similarity measure of time series. However, conventional
Wei Li +4 more
semanticscholar +1 more source
Similarity measure of time series with different sampling frequencies is vitally important for many signal processing applications. Dynamic Time Warping (DTW) is one of the most popular methods for similarity measure of time series. However, conventional
Wei Li +4 more
semanticscholar +1 more source
A Fused Method of Machine Learning and Dynamic Time Warping for Road Anomalies Detection
IEEE transactions on intelligent transportation systems (Print), 2022To discover the condition of roads, a large number of detection algorithms have been proposed, most of which apply machine learning methods by time and frequency processing in acceleration and velocity data.
Zengwei Zheng +6 more
semanticscholar +1 more source