An Enhanced Genetic Algorithm for Parameter Estimation of Sinusoidal Signals

Jiang, Chao; Serrao, Pruthvi; Liu, Mingjie; Cho, Chongdu

doi:10.3390/app10155110

Cited by 7 publications

(6 citation statements)

References 48 publications

(81 reference statements)

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“…Figure 1 a shows the classic feature extraction execution scheme [ 6 , 9 , 10 , 12 , 13 , 14 , 15 , 16 , 17 , 20 ]. It is a straightforward procedure.…”

Section: Methodsmentioning

confidence: 99%

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An Edge Computing Application of Fundamental Frequency Extraction for Ocean Currents and Waves

Hernandez-Gonzalez,

Montiel-Caminos,

Sosa

et al. 2024

Sensors

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This paper describes the design and optimization of a smart algorithm based on artificial intelligence to increase the accuracy of an ocean water current meter. The main purpose of water current meters is to obtain the fundamental frequency of the ocean waves and currents. The limiting factor in those underwater applications is power consumption and that is the reason to use only ultra-low power microcontrollers. On the other hand, nowadays extraction algorithms assume that the processed signal is defined in a fixed bandwidth. In our approach, belonging to the edge computing research area, we use a deep neural network to determine the narrow bandwidth for filtering the fundamental frequency of the ocean waves and currents on board instruments. The proposed solution is implemented on an 8 MHz ARM Cortex-M0+ microcontroller without a floating point unit requiring only 9.54 ms in the worst case based on a deep neural network solution. Compared to a greedy algorithm in terms of computational effort, our worst-case approach is 1.81 times faster than a fast Fourier transform with a length of 32 samples. The proposed solution is 2.33 times better when an artificial neural network approach is adopted.

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“…Figure 1 a shows the classic feature extraction execution scheme [ 6 , 9 , 10 , 12 , 13 , 14 , 15 , 16 , 17 , 20 ]. It is a straightforward procedure.…”

Section: Methodsmentioning

confidence: 99%

“…Alternatively, the literature also presents related works that employ specific strategies. These include heuristic solutions like the Genetic Algorithm (GA) [ 16 , 17 ], Neural Networks (NN) [ 18 , 19 ] or zero crossing detector algorithms.…”

Section: Related Workmentioning

confidence: 99%

An Edge Computing Application of Fundamental Frequency Extraction for Ocean Currents and Waves

Hernandez-Gonzalez,

Montiel-Caminos,

Sosa

et al. 2024

Sensors

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show abstract

“…There are other heuristic approaches like the one presented in [ 15 ], where the authors proposed the use of a cuckoo search metaheuristic algorithm for the estimation of parameters in ocean surface wave modeling. In [ 16 ], an improved genetic algorithm for the estimation of parameters of sinusoidal signals was proposed.…”

Section: Related Workmentioning

confidence: 99%

Integer Arithmetic Algorithm for Fundamental Frequency Identification of Oceanic Currents

Montiel-Caminos,

Hernandez-Gonzalez,

Sosa

et al. 2023

Sensors

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Underwater sensor networks play a crucial role in collecting valuable data to monitor offshore aquaculture infrastructures. The number of deployed devices not only impacts the bandwidth for a highly constrained communication environment, but also the cost of the sensor network. On the other hand, industrial and literature current meters work as raw data loggers, and most of the calculations to determine the fundamental frequencies are performed offline on a desktop computer or in the cloud. Belonging to the edge computing research area, this paper presents an algorithm to extract the fundamental frequencies of water currents in an underwater sensor network deployed in offshore aquaculture infrastructures. The target sensor node is based on a commercial ultra-low-power microcontroller. The proposed fundamental frequency identification algorithm only requires the use of an integer arithmetic unit. Our approach exploits the mathematical properties of the finite impulse response (FIR) filtering in the integer domain. The design and implementation of the presented algorithm are discussed in detail in terms of FIR tuning/coefficient selection, memory usage and variable domain for its mathematical formulation aimed at reducing the computational effort required. The approach is validated using a shallow water current model and real-world raw data from an offshore aquaculture infrastructure. The extracted frequencies have a maximum error below a 4%.

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“…GAs have also been used to fit polynomials [26]. In the recent work of Jiang et al a modified GA is used to optimize the parameters of sine signals [27,28]. Consequently, in this study, we aim to investigate the following two research questions:…”

Section: Introductionmentioning

confidence: 99%

An evolutionary approach to continuously estimate CPR quality parameters from a wrist-worn inertial sensor

et al. 2021

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Cardiopulmonary resuscitation (CPR) is one of the most critical emergency interventions for sudden cardiac arrest. In this paper, a robust sinusoidal model-fitting method based on a Evolution Strategy inspired algorithm for CPR quality parameters – naming chest compression frequency and depth – as measured by an inertial measurement unit (IMU) attached to the wrist is presented. The proposed approach will allow bystanders to improve CPR as part of a continuous closed-loop support system once integrated into a smartphone or smartwatch application. By evaluating the model’s precision with data recorded by a training mannequin as reference standard, a variance for the compression frequency of $$\pm 2.22$$ ± 2.22 compressions per minute (cpm) has been found for the IMU attached to the wrist. It was found that this previously unconsidered position and thus, the use of smartwatches is a suitable alternative to the typical placement of phones in hand for CPR training.

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An Enhanced Genetic Algorithm for Parameter Estimation of Sinusoidal Signals

Cited by 7 publications

References 48 publications

An Edge Computing Application of Fundamental Frequency Extraction for Ocean Currents and Waves

An Edge Computing Application of Fundamental Frequency Extraction for Ocean Currents and Waves

Integer Arithmetic Algorithm for Fundamental Frequency Identification of Oceanic Currents

An evolutionary approach to continuously estimate CPR quality parameters from a wrist-worn inertial sensor

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