Predicting the Frequency Characteristics of Hybrid Meander Systems Using a Feed-Forward Backpropagation Network

Plonis, Darius; Katkevičius, Andrius; Krukonis, Audrius; Slegeryte, Vaiva; Maskeliūnas, Rytis; Damaševičius, Robertas

doi:10.3390/electronics8010085

Cited by 16 publications

(13 citation statements)

References 29 publications

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“…Artificial Neural Networks (ANN), Wavelet Transform (WT) and Kalman Filter (KF). The ANN method [30]- [33] has been well applied in the field of image and voice processing, e.g. pattern detection and recognition.…”

Section: Data Processing and Model Selectionmentioning

confidence: 99%

An Adaptive Kalman Filtering Approach to Sensing and Predicting Air Quality Index Values

Chen

Wang

et al. 2020

IEEE Access

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In recent years, Air Quality Index (AQI) have been widely used to describe the severity of haze and other air pollutions yet suffers from inefficiency and compatibility on real-time perception and prediction. In this paper, an Auto-Regressive (AR) prediction model based on sensed AQI values is proposed, where an adaptive Kalman Filtering (KF) approach is fitted to achieve efficient prediction of the AQI values. The AQI values were collected monthly from January 2018 to March 2019 using a WSN-based network, whereas daily AQI values started to be collected from October 1, 2018 to March 31, 2019. These data have been used for creation and evaluation purposes on the prediction model. According to the results, predicted values have shown high accuracy compared with the actual sensed values. In addition, when monthly AQI values were used, it has depicted higher accuracy compared to the daily ones depending on the experimental results. Therefore, the hybrid AR-KF model is accurate and effective in predicting haze weather, which has practical significance and potential value. INDEX TERMS Real-time sensing and predicting, Kalman filter, air quality index, simulation.

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Section: Data Processing and Model Selectionmentioning

confidence: 99%

An Adaptive Kalman Filtering Approach to Sensing and Predicting Air Quality Index Values

Chen

Wang

et al. 2020

IEEE Access

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“…The biggest disadvantage of meander structures with 3D coils is the quite large occupied area. A solution was proposed to replace the spiral coils with contact plates in the PCB and to solder the inductors to the contact plates in order to simulate the spiral coils [21]. These changes made it possible to reduce the dimensions but maintain similar parameters of the hybrid meander structure.…”

Section: Introductionmentioning

confidence: 99%

“…The novelty of this work is the quantitative analysis of the computer-based and experimental results of a hybrid meander structure with additional shields. A hybrid meander structure without additional shields as a base model is taken from our previous research studies [21]. The computer-based modeling results will be compared with the results of a physical experiment.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Hybrid Meander Structures with Additional Shields

2021

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Models of hybrid meander structures with additional shields are presented in this paper. The influence of additional shields and their grounding positions on the electromagnetic characteristics of the hybrid meander structures was investigated. Three-dimensional models were created and analyzed using the method of moments (MoM) in the Sonnet® and finite-difference time-domain (FDTD) method in CST Microwave Studio® commercial software packages. The computer-based modeling was verified by physical experiment. The analysis showed that it is possible to control the delay time characteristic using different values of lumped inductive elements without the need to change the overall size of the hybrid meander structure. The delay time varied by 1.2 ns in the range of 1.3 ns to 2.5 ns when the inductivity changed from 1 nH to 10 nH in our investigation. On the other hand, the passband decreased from 2.384 GHz to 0.508 GHz. The additional shields and their grounding positions allowed for increasing the passband by up to 1.6%.

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“…The synthesis of the meander delay system using multilayer perceptron (MLP) is presented in [24]. The synthesis of hybrid meander delay system also using MLP is presented in [25].…”

Section: Introductionmentioning

confidence: 99%

Prediction of Meander Delay System Parameters for Internet-of-Things Devices Using Pareto-Optimal Artificial Neural Network and Multiple Linear Regression

et al. 2020

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Meander structures are highly relevant in the Internet-of-Things (IoT) communication systems, their miniaturization remains as one of the key design issues. Meander structures allow to decrease the size of the IoT device, while maintaining the same operating parameters of the IoT device. Meander structures can also work as the delay systems, which can be used for the delay and synchronization of signals in IoT devices. The design procedure of the meander delay systems is time-consuming and cumbersome because of the complexity of the numerical and analytical methods employed during the design process. New methods, which will accelerate the synthesis procedure of the meander delay systems, should be investigated. This is especially relevant when the procedure of synthesis must be repeated many times until the appropriate configuration of the IoT device is found. We present the procedure of synthesis of the meander delay system using the Pareto-optimal multilayer perceptron network and multiple linear regression model with the M5 descriptor. The prediction results are compared with results, which were obtained using the commercial Sonnet software package and with the results of physical experiment. The difference between the experimentally achieved and predicted results did not exceed 1.53 %. Moreover, the prediction of parameters of the meander delay system allowed to speed up the procedure of synthesis multiple times from hours to only 2.3 s.INDEX TERMS Antenna arrays, antenna measurements, artificial neural networks, Internet of Things.

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Predicting the Frequency Characteristics of Hybrid Meander Systems Using a Feed-Forward Backpropagation Network

Cited by 16 publications

References 29 publications

An Adaptive Kalman Filtering Approach to Sensing and Predicting Air Quality Index Values

An Adaptive Kalman Filtering Approach to Sensing and Predicting Air Quality Index Values

Analysis of Hybrid Meander Structures with Additional Shields

Prediction of Meander Delay System Parameters for Internet-of-Things Devices Using Pareto-Optimal Artificial Neural Network and Multiple Linear Regression

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