Results 41 to 50 of about 779 (142)
Perceptual Vibration Hashing by Sub-Band Coding: An Edge Computing Method for Condition Monitoring
IEEE Access, 2019 High data throughput during real-time vibration monitoring can easily lead to network congestion, insufficient data storage space, heavy computing burden, and high communication costs.
Haining Liu +5 more
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A Modified IP-Based NILM Approach Using Appliance Characteristics Extracted by 2-SAX
IEEE Access, 2019 Deregulation on the delivery side of the power market has continuously been moving forward worldwide, which make bidirectional flow and interactions between customers and grids needs to be more refined and in-depth.
Yaoxian Liu, Yi Sun, Bin Li
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Analyzing Eye Tracking Data using Symbolic Aggregate Approximation. [PDF]
, 2023 Oculomotor disturbance (OMD) is a common vision problem, meaning that the left and right eye do not cooperate properly, i.e., by having a common gaze point. Eye tracking technology (ET) promises support for identifying problematic eye coordination. Data from the eye tracker is based on time series of screen positions and the stimuli movements, which ...
Helgesen, Carsten Gunnar +3 more
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Modifying the Symbolic Aggregate Approximation Method to Capture Segment Trend Information [PDF]
, 2020 International Conference on Modeling Decisions for Artificial Intelligence - MDAI 2020: Modeling Decisions for Artificial Intelligence pp 230 ...
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Symbolic-Based Recognition of Contact States for Learning Assembly Skills
Frontiers in Robotics and AI, 2019 Imitation learning is gaining more attention because it enables robots to learn skills from human demonstrations. One of the major industrial activities that can benefit from imitation learning is the learning of new assembly processes.
Ali Al-Yacoub +6 more
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A Systematic Review of Symbolic Aggregate Approximation (SAX)
Communications Faculty of Sciences University of Ankara Series A1 Mathematics and StatisticsTime series data can be analyzed through various techniques to tackle classification or regression tasks. Symbolic Aggregate Approximation (SAX) is one such technique used for time series data reduction that converts the data into a symbolic representation, enabling more efficient storage, retrieval, and analysis by reducing the dimensionality while ...
Mehmet Eren Nalici +2 more
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Journal of Advanced Transportation, 2019 This paper presents an investigation of the relationship between driver risk and factors indicating vehicle’s speed and driver’s acceleration behavior.
Rui Fu +4 more
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A comparative study of symbolic aggregate approximation and topological data analysis
Quantitative Finance and Economics<p>The movement of stocks is often perceived as random due to the complex interactions between different stocks and the inherently chaotic nature of the market. This study investigated the similarity in stock movements across multiple industry sectors in Europe. Specifically, we applied topological data analysis (TDA) to analyze stock time series
Hobbelhagen, Fredrik, Diamantis, Ioannis
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Particle Swarm Optimization of Information-Content Weighting of Symbolic Aggregate Approximation [PDF]
, 2012 The 8th International Conference on Advanced Data Mining and Applications (ADMA 2012)
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Enhancing the Symbolic Aggregate Approximation Method Using Updated Lookup Tables
, 2010 Similarity search in time series data mining is a problem that has at- tracted increasing attention recently. The high dimensionality and large volume of time series databases make sequential scanning inefficient to tackle this problem. There are many representation techniques that aim at reducing the dimensionality of time series so that the search ...
Muhammad Fuad, Muhammad Marwan +1 more
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