Fast-forward solver for inhomogeneous media using machine learning methods: artificial neural network, support vector machine and fuzzy logic

Abdolrazzaghi, Mohammad; Hashemy, Soheil; Abdolali, Ali

doi:10.1007/s00521-016-2694-9

Cited by 13 publications

(10 citation statements)

References 24 publications

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“…Further research should be undertaken to investigate the mathematical modelling based on machine learning approaches to analyse the measured data quickly and with high accuracy. Recently, mathematical tools based on Neural Networks (NNs) were employed for complex permittivity extraction, and this is due to their strong learning ability and high accuracy [ 20 , 21 , 22 , 23 , 24 ]. Figure 2 demonstrates the general structure of a neural network where there are three layers.…”

Section: Mathematical Modelling For Complex Permittivity Extractiomentioning

confidence: 99%

“…This review shows the recent development of various studies and examples of applications of microwave planar sensors in material characterization. It includes the mathematical models for complex permittivity extraction [ 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 ], sensing application examples of microwave sensors [ 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , …”

Section: Introductionmentioning

confidence: 99%

“…This review shows the recent development of various studies and examples of applications of microwave planar sensors in material characterization. It includes the mathematical models for complex permittivity extraction [9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24], sensing application examples of microwave sensors and recent developments and their challenges and future directions [24,. This work is mainly focused on microwave sensor-based planar resonators for material properties' extraction such as solids, liquids and their binary mixtures.…”

Section: Introductionmentioning

confidence: 99%

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Review of Recent Microwave Planar Resonator-Based Sensors: Techniques of Complex Permittivity Extraction, Applications, Open Challenges and Future Research Directions

Alahnomi

Zakaria

Yussof

et al. 2021

Sensors

106

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Recent developments in the field of microwave planar sensors have led to a renewed interest in industrial, chemical, biological and medical applications that are capable of performing real-time and non-invasive measurement of material properties. Among the plausible advantages of microwave planar sensors is that they have a compact size, a low cost and the ease of fabrication and integration compared to prevailing sensors. However, some of their main drawbacks can be considered that restrict their usage and limit the range of applications such as their sensitivity and selectivity. The development of high-sensitivity microwave planar sensors is required for highly accurate complex permittivity measurements to monitor the small variations among different material samples. Therefore, the purpose of this paper is to review recent research on the development of microwave planar sensors and further challenges of their sensitivity and selectivity. Furthermore, the techniques of the complex permittivity extraction (real and imaginary parts) are discussed based on the different approaches of mathematical models. The outcomes of this review may facilitate improvements of and an alternative solution for the enhancement of microwave planar sensors’ normalized sensitivity for material characterization, especially in biochemical and beverage industry applications.

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Section: Mathematical Modelling For Complex Permittivity Extractiomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…This review shows the recent development of various studies and examples of applications of microwave planar sensors in material characterization. It includes the mathematical models for complex permittivity extraction [9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24], sensing application examples of microwave sensors and recent developments and their challenges and future directions [24,. This work is mainly focused on microwave sensor-based planar resonators for material properties' extraction such as solids, liquids and their binary mixtures.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Review of Recent Microwave Planar Resonator-Based Sensors: Techniques of Complex Permittivity Extraction, Applications, Open Challenges and Future Research Directions

Alahnomi

Zakaria

Yussof

et al. 2021

Sensors

106

View full text Add to dashboard Cite

show abstract

“…In the Fuzzy Neural Network, the central values c ij and the width values σ ij need training, as well as the weight coefficients ω i j . Error back propagation 8 is employed to calculate ∂ E / ∂ w i j , ∂ E / ∂ c ij , and ∂ E / ∂ σ ij . The first-order gradient optimization is used to adjust the required parameters, with the second-order error function as the performance index…”

Section: Training Of the Fuzzy Neural Networkmentioning

confidence: 99%

Fuzzy Neural Network PID–based constant deceleration compensation device for the brakes of mining hoists

Tian

Xiao

et al. 2014

Advances in Mechanical Engineering

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In comparison with constant torque brakes, constant deceleration brakes are more advantageous for the safety of mining hoists, but complete set of such products manufactured by big companies are not what ordinary mining enterprises can afford. As an alternative solution, this article develops a constant deceleration compensation device, which adds the function of constant deceleration brake onto the original brakes. Control strategy based on Fuzzy Neural Network PID is investigated and simulated with the combination of AMEsim and Simulink. An actual device is built and tested in real industrial field. The application illustrates the feasibility of this constant deceleration compensation device, which can achieve constant decelerations within a very short time. This device will prevent dangerous decelerations from happening to hoists at a much lower cost, and greatly improve the safety and reliability of mining hoists.

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“…Different resonant cavity designs exist with planar systems offering a small-sized, embedded solution. Planar microwave resonator sensors demonstrated reliable performance in industrial, biomedical, and environmental applications. − Recently, passive microstrip resonators, as dielectric property sensors, attracted attention due to their compact size, noncontact sensing capabilities, simplicity, and CMOS (complementary metal oxide semiconductor) and lab-on-a-chip compatibility. − Split ring resonators (SRRs) have been reported as the core of the sensing device for material, humidity, temperature, and nanostructure analyzers. − Lossy dielectric media can also be monitored using SRRs. , …”

Section: Introductionmentioning

confidence: 99%

Contactless Asphaltene Detection Using an Active Planar Microwave Resonator Sensor

2017

Self Cite

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In this paper, a noncontact real time method for asphaltene concentration measurement and precipitation detection is presented. An active high sensitivity microwave resonator sensor is utilized to monitor asphaltene particles and its complex permittivity at 1.2 GHz. The sensor utilizes a microstrip microwave resonator with an active feedback loop to compensate for the environmental loss and to enhance the quality factor of the sensor by several orders of magnitude (>10K). The sensor is utilized to directly measure the concentration of the liquid through monitoring its complex permittivity. It is also illustrated that time-based measurements can be used to increase the accuracy by providing two independent data sets, i.e., concentration and time constant. Next, heptane is mixed with different concentrations of asphaltene and monitored in real time. The results demonstrate the capability of noncontact measurement of the precipitation process at different asphaltene concentrations. The findings exhibit a substantial step toward a low-cost, real-time, and noncontact chemical monitoring device.

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Fast-forward solver for inhomogeneous media using machine learning methods: artificial neural network, support vector machine and fuzzy logic

Cited by 13 publications

References 24 publications

Review of Recent Microwave Planar Resonator-Based Sensors: Techniques of Complex Permittivity Extraction, Applications, Open Challenges and Future Research Directions

Review of Recent Microwave Planar Resonator-Based Sensors: Techniques of Complex Permittivity Extraction, Applications, Open Challenges and Future Research Directions

Fuzzy Neural Network PID–based constant deceleration compensation device for the brakes of mining hoists

Contactless Asphaltene Detection Using an Active Planar Microwave Resonator Sensor

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