electromagnetic system
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2021 ◽  
Author(s):  
Pradip Kumar Maurya ◽  
Frederik Ersted Christensen ◽  
M. Andy Kass ◽  
Jesper Bjergsted Pedersen ◽  
Rasmus Rumph Frederiksen ◽  
...  

Abstract. Imagining geological layers beneath lakes, rivers, and shallow seawater provides detailed information critical for hydrological modelling, geologic studies, contaminant mapping, and more. However, significant engineering and interpretation challenges have limited the applications, preventing widespread adoption in aquatic environments. We have developed a towed transient electromagnetic (tTEM) system to a new, easily configurable floating, transient electromagnetic instrument (FloaTEM) capable of imaging the subsurface beneath both fresh and saltwater water bodies. Based on the terrestrial tTEM instrument, the FloaTEM system utilizes a similar philosophy of a lightweight towed transmitter with a trailing, offset receiver, pulled by a small boat. The FloaTEM system is tailored to the specific fresh or saltwater application as necessary, allowing investigations down to 100 m in freshwater environments, and up to 20 m on saline waters. Through synthetic analysis we show how the depth of investigation of the FloaTEM system greatly depends on the resistivity and thickness of the water column. The system has been successfully deployed in Denmark for a variety of hydrologic investigations, improving the ability to understand and model processes beneath water bodies. We present two freshwater applications and a saltwater application. Imaging results reveal significant heterogeneities in the sediment types below the freshwater lakes. The saline water example demonstrates that the system is capable to identify and distinguish clay and sand layers below the saline water column.


2021 ◽  
Vol 47 (12) ◽  
pp. 1188-1203
Author(s):  
E. N. Bondarchuk ◽  
A. A. Voronova ◽  
S. A. Grigoryev ◽  
E. R. Zapretilina ◽  
A. A. Kavin ◽  
...  

2021 ◽  
Vol 47 (12) ◽  
pp. 1204-1219
Author(s):  
V. E. Sytnikov ◽  
S. A. Lelekhov ◽  
A. V. Krasilnikov ◽  
V. V. Zubko ◽  
S. S. Fetisov ◽  
...  

Author(s):  
Yongmoon Hwang ◽  
Junghoon Lee ◽  
Seungkyung Kye ◽  
Hyung-Jo Jung

Abstract A magnetorheological elastomer (MRE) is one of smart materials which can control the stiffness according to a strength of a magnetic field. In this regard, various types of MRE-based isolators have been studies. However, there was a limit to performance validation due to the material and structural limitations. In this study, an optimal mixing ratio of the MRE was considered and a new type of an electromagnetic system was proposed. A multi-layered electromagnetic system was proposed to constantly maintain a magnetic closed circuit by behaving with the deformation of the MRE. Through this, numerical and experimental comparisons were performed with the conventional MRE-based isolator, and the superiority of the proposed MRE-based isolator was validated. Moreover, the dynamic characteristics of the proposed MRE-based isolator under the vertical load were investigated. The results show that the proposed MRE-based isolator outperforms the conventional MRE-based isolator in improving the MR effects and the dynamic characteristics of the proposed MRE-based isolator under the vertical load were identified.


Electronics ◽  
2021 ◽  
Vol 10 (22) ◽  
pp. 2752
Author(s):  
Md. Samiul Islam Sagar ◽  
Hassna Ouassal ◽  
Asif I. Omi ◽  
Anna Wisniewska ◽  
Harikrishnan M. Jalajamony ◽  
...  

As an integral part of the electromagnetic system, antennas are becoming more advanced and versatile than ever before, thus making it necessary to adopt new techniques to enhance their performance. Machine Learning (ML), a branch of artificial intelligence, is a method of data analysis that automates analytical model building with minimal human intervention. The potential for ML to solve unpredictable and non-linear complex challenges is attracting researchers in the field of electromagnetics (EM), especially in antenna and antenna-based systems. Numerous antenna simulations, synthesis, and pattern recognition of radiations as well as non-linear inverse scattering-based object identifications are now leveraging ML techniques. Although the accuracy of ML algorithms depends on the availability of sufficient data and expert handling of the model and hyperparameters, it is gradually becoming the desired solution when researchers are aiming for a cost-effective solution without excessive time consumption. In this context, this paper aims to present an overview of machine learning, and its applications in Electromagnetics, including communication, radar, and sensing. It extensively discusses recent research progress in the development and use of intelligent algorithms for antenna design, synthesis and analysis, electromagnetic inverse scattering, synthetic aperture radar target recognition, and fault detection systems. It also provides limitations of this emerging field of study. The unique aspect of this work is that it surveys the state-of the art and recent advances in ML techniques as applied to EM.


Measurement ◽  
2021 ◽  
pp. 110492
Author(s):  
Lijie Wang ◽  
Shuang Zhang ◽  
Shudong Chen ◽  
Hejun Jiang

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6576
Author(s):  
Yan-Ying Ju ◽  
Wan-Ting Chu ◽  
Wann-Yun Shieh ◽  
Hsin-Yi Kathy Cheng

This study was the first to compare the differences in trunk/shoulder kinematics and impact vibration of the upper extremity during backhand strokes in wheelchair tennis players and the able-bodied players relative to standing and sitting positions, adopting an electromagnetic system along with wearable tri-axial accelerometers upon target body segments. A total of 15 wheelchair tennis players and 15 able-bodied tennis players enrolled. Compared to players in standing positions, wheelchair players demonstrated significant larger forward trunk rotation in the pre-preparation, acceleration, and deceleration phase. Significant higher trunk angular velocity/acceleration and shoulder flexion/internal rotation angular velocity/acceleration were also found. When able-bodied players changed from standing to sitting positions, significant changes were observed in the degree of forward rotation of the trunk and shoulder external rotation. These indicated that when the functions of the lower limbs and trunk are lacking or cannot be used effectively, “biomechanical solutions” such as considerable reinforcing movements need to be made before the hitting movement. The differences between wheelchair tennis players and able-bodied players in sitting positions could represent the progress made as the wheelchair players evolve from novices to experts. Knowledge about how sport biomechanics change regarding specific disabilities can facilitate safe and inclusive participation in disability sports such as wheelchair tennis.


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