Granulation of large temporal databases: An allan variance approach

L Sinanaj, H Haeri, SP Maddipatla, L Gao… - SN Computer …, 2022 - Springer
As the use of Big Data begins to dominate various scientific and engineering applications,
the ability to conduct complex data analyses with speed and efficiency has become …

Performance Analysis of Moving Average Filter Using Allan Variance

SP Maddipatla, S Brennan - 2024 American Control …, 2024 - ieeexplore.ieee.org
This work presents the use of the area of Allan VARiance (AVAR) as an alternate measure
for Mean Squared Error (MSE) to select an optimal Moving Average (MA) filter that …

Optimal moving average estimation of noisy random walks using allan variance-informed window length

H Haeri, B Soleimani, K Jerath - 2022 American Control …, 2022 - ieeexplore.ieee.org
Moving averages are widely used to estimate time-varying parameters, especially when the
underlying dynamic model is unknown or uncertain. However, the selection of the optimal …

[PDF][PDF] Adaptive Granulation: Data Reduction at the Database Level.

H Haeri, N Kathiriya, C Chen, K Jerath - KMIS, 2023 - scitepress.org
In an era where data volume is growing exponentially, effective data management
techniques are more crucial than ever. Traditional methods typically manage the size of …

Fast allan variance (FAVAR) and Dynamic fast allan variance (D-FAVAR) algorithms for both regularly and irregularly sampled data

SP Maddipatla, H Haeri, K Jerath, S Brennan - IFAC-PapersOnLine, 2021 - Elsevier
This work develops algorithms demonstrating fast implementations of Allan variance (AVAR)
for regularly and irregularly sampled signals. AVAR is a technique first developed to study …

Wireless IoT universal approach based on Allan variance method for detection of artificial vibration signatures of a DC motor's shaft and reconstruction of the reference …

M Hayouni, TH Vuong… - IET Wireless Sensor …, 2022 - Wiley Online Library
In this paper, a workbench for remote control of DC motors is proposed. We intend to monitor
and control rotating machines. Artificial failures are simulated by injecting different signals …

An algorithm for cattle counting in rangeland based on multi‐scale perception and image association

B Li, J Fang, Y Zhao - IET Image Processing, 2024 - Wiley Online Library
To effectively address common issues such as cattle being obscured by fences and images
prone to colour shifts and high brightness in a ranch setting, this paper proposes an …

Human-guided Swarms: Impedance Control-inspired Influence in Virtual Reality Environments

S Barclay, K Jerath - arXiv preprint arXiv:2402.04451, 2024 - arxiv.org
Prior works in human-swarm interaction (HSI) have sought to guide swarm behavior towards
established objectives, but may be unable to handle specific scenarios that require finer …

Iterative Forgetting: Online Data Stream Regression Using Database-Inspired Adaptive Granulation

N Kathiriya, H Haeri, C Chen, K Jerath - arXiv preprint arXiv:2403.09588, 2024 - arxiv.org
Many modern systems, such as financial, transportation, and telecommunications systems,
are time-sensitive in the sense that they demand low-latency predictions for real-time …

Using Databases to Implement Algorithms: Estimation of Allan Variance Using B+ -tree Data Structure

SP Maddipatla, R Pakala, H Haeri… - 2024 American …, 2024 - ieeexplore.ieee.org
This work develops and explains a method of using a database's organizational structure to
implement data manipulations (grouping, addition, averaging) that enable the database to …