Significant power enhancement of magneto-mechano-electric generators by magnetic flux concentration

2020 ◽  
Vol 13 (11) ◽  
pp. 4238-4248 ◽  
Author(s):  
Hyunseok Song ◽  
Deepak Rajaram Patil ◽  
Woon-Ha Yoon ◽  
Kwang-Ho Kim ◽  
Cheol Choi ◽  
...  
Keyword(s):  
Sensor Networks ◽  
Internet Of Things ◽  
Magnetic Flux ◽  
Magnetic Noise ◽  
Significant Power ◽  
Power Enhancement ◽  
Flux Concentration ◽  
Electric Generators ◽  
Flux Concentrator

A magneto-mechano-electric (MME) generator comprising a magnetoelectric (ME) composite and magnetic flux concentrator (MFC) can effectively harvest the tiny magnetic noise to power the autonomous internet of things (IoT) sensor networks.

A Novel Electromagnetic Targeting System Using Rotating Magnetic-Flux Concentration Method for Navigating Endo-Bronchoscopy

2018 ◽  
Author(s):  
Chin-Chung Chen ◽  
Ching-Kai Lin ◽  
Yun-Chien Cheng ◽  
Chen-Wei Chang ◽  
Sung-Lin Tsai ◽  
...  
Keyword(s):  
Magnetic Flux ◽  
Bronchial Tree ◽  
Air Gap ◽  
Guide Tube ◽  
Concentration Method ◽  
Voltage Output ◽  
Flux Concentration ◽  
Flux Concentrator ◽  
Stable Voltage ◽  
2D Model

In this paper, we proposed a novel electromagnetic targeting system using rotating magnetic-flux concentration method for navigating endo-bronchoscope. This system consists of a magnetic-flux emitting coil, a magnetic-flux receiving electromagnets-array, a 2D model of bronchial tree, the magnetic-flux concentrator embedded on brush-guiding tube which was connected to the guide sheath. When the concentrator in the 2D bronchial tree passes through the air gap between the emitting coil and the receiving electromagnets-array, the concentrator concentrates the magnetic flux between the coil and the array. The concentrated magnetic flux is subsequently received by the receiving electromagnets-array and thus stable voltage output is produced. Furthermore, when the concentrator is rotated, the concentration of the magnetic flux is periodically changed and thereby the voltage output is periodically changed. By analyzing the voltage changes, the location of the concentrator (as well as guide tube and sheath) is targeted. According to the experimental results, the system successfully targets the location of the guide sheath in the 2D model of bronchial tree.

Magnetic Filed Analysis of Magnetic Flux Concentration Type Hybrid Surface Magnet Motor

2010 ◽  
Vol 130 (7) ◽  
pp. 698-703 ◽  
Author(s):  
Keisuke Eguchi ◽  
Shingo Zeze ◽  
Takashi Todaka ◽  
Masato Enokizono
Keyword(s):  
Magnetic Flux ◽  
Flux Concentration ◽  
Magnetic Filed

scholarly journals A Conceptual Model of Measurement Uncertainty in IoT Sensor Networks

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1827
Author(s):  
Piotr Cofta ◽  
Kostas Karatzas ◽  
Cezary Orłowski
Keyword(s):  
Sensor Networks ◽  
Internet Of Things ◽  
Reference Model ◽  
Primary Objective ◽  
Theory And Practice ◽  
Fitness For Purpose ◽  
Industrial Practice ◽  
Control Networks ◽  
And Control ◽  
Measurement And Control

The growing popularity of inexpensive IoT (Internet of Things) sensor networks makes their uncertainty an important aspect of their adoption. The uncertainty determines their fitness for purpose, their perceived quality and the usefulness of information they provide. Nevertheless, neither the theory nor the industrial practice of uncertainty offer a coherent answer on how to address uncertainty of networks of this type and their components. The primary objective of this paper is to facilitate the discussion of what progress should be made regarding the theory and the practice of uncertainty of IoT sensor networks to satisfy current needs. This paper provides a structured overview of uncertainty, specifically focusing on IoT sensor networks. It positions IoT sensor networks as contrasted with professional measurement and control networks and presents their conceptual sociotechnical reference model. The reference model advises on the taxonomy of uncertainty proposed in this paper that demonstrates semantic differences between various views on uncertainty. This model also allows for identifying key challenges that should be addressed to improve the theory and practice of uncertainty in IoT sensor networks.

scholarly journals Series Editorial: Internet of Things and Sensor Networks

2021 ◽  
Vol 59 (3) ◽  
pp. 14-14
Author(s):  
Sergey Andreev ◽  
Ngoc Dung Dao ◽  
Prasant Misra
Keyword(s):  
Sensor Networks ◽  
Internet Of Things
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