Overview of Electromagnetic Interference

Albertson, R.T.; Arthur, Joseph Kweku; Rashid, Muhammad H.

doi:10.1109/naps.2006.360154

Cited by 17 publications

(4 citation statements)

References 1 publication

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“…The EMI emits from either external or internal origins and has an adverse impact on the functioning of electrical or electronic equipment. EMI can impair or interrupt the operational efficiency of various devices and systems [49]. In the case of industrial and home environments, due to the EMI, unexpected white noise can be found in the audio signal.…”

Section: ) Gaussian Noisementioning

confidence: 99%

An Intelligent IoT and ML-Based Water Leakage Detection System

Islam,

Azam,

Shanmugam

et al. 2023

IEEE Access

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Water is a precious resource, and much of it is wasted due to the leakage of pipelines. Timely identification of leakage could curb the wastage. Traditional leakage detection methods are time-consuming, inefficient and cause substantial water loss. Onsite, real-time leakage detection could reduce water loss and mitigate associated environmental and economic impacts. In this paper, we have proposed and developed an edge ML-based low-power IoT device to detect water leakage and notify the user. We developed the device in three stages. At first, an experiment was set up to capture real-life audio data of leak and non-leak signals.A piezoelectric contact microphone was used to capture the audio signals and to keep the unwanted environmental noise minimal. In the second step, an ML model was developed. The ML model was then quantized and pruned, resulting in a lightweight model of 11 KB in size with 98.96% accuracy. Finally, a node was implemented with an ML model and radio communication capability. If it detect ed any leakage, the node started beeping noise and broadcasting low-energy RF messages. The primary node could alert the user of potential leakage. These sensor nodes could be set up in the home or industrial environment. The device's maximum current draw was 216.8 mA while transmitting data, and the minimum current draw was only 5.46 mA while sleeping. The node could run for more than 25 days on a single 3500 mAh battery.INDEX TERMS Water leakage detection, internet of things (IoT), machine learning (ML), Sensor Networks, edge IoT.

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Section: ) Gaussian Noisementioning

confidence: 99%

An Intelligent IoT and ML-Based Water Leakage Detection System

Islam,

Azam,

Shanmugam

et al. 2023

IEEE Access

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“…Noise sources can be grouped into the following categories: intrinsic noise sources that arise from random fluctuations within physical systems, such as thermal and shot noise; manmade noise sources, such as motors, switches [9], computers, digital electronics, and radio transmitters; and noise caused by natural disturbances, such as lightning and sunspots. Interference is the undesirable effect of noise.…”

Section: Noise and Interferencementioning

confidence: 99%

Analysis of electromagnetic interference in an analog control circuit

Hernandez

Camacho

Zarate

2013

CONIELECOMP 2013, 23rd International Conference on Electronics, Communications and Computing

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Given the importance of Electromagnetic Compatibility (EMC), modern electrical education requires more attention to have future electrical and electronic engineers with a good understanding of EMC. This article presents an analysis of the interference that is introduced into an analog control circuit, caused by a transmission and reception of digital data. Furthermore, techniques are suitable for reducing electromagnetic interference in the system, which are used for best results.

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“…However, it has been proven that radiation may disturb the speed of biochemical processes, in turn having a minimal impact on ion transport through cell membranes and potentially resulting in the production of small amounts of heat-shock proteins, affecting cell functioning. These changes are not, however, considered to be a direct threat to human health or life [10][11][12][13][14][15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Modern Electromagnetic-Radiation-Shielding Materials Made Using Different Knitting Techniques

Mikołajczyk,

Nowak,

Januszkiewicz

et al. 2024

Materials

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This paper summarizes the possibility of employing knitted textile barriers as a shield against electromagnetic fields to protect the human body from their negative impact. Ten variants of knitted fabrics made of electrically conductive yarns, steel, and copper wire that differed in stitch pattern, structural parameters, and raw material, were designed, manufactured, and tested. The knitted fabrics produced differed in structural parameters, including course and wale density, surface density, thickness, thread length in the loop, wale and course take-up, volume cover factor, and surface porosity. These parameters were examined in accordance with the research methodology used in knitting. Barrier measurements were taken in the direction of the wales and in the direction of the courses for two frequencies of electromagnetic fields: 2–4 GHz and 4–7 GHz. It was observed that the shielding effectiveness of the manufactured materials depends on the structural parameters of the fabric, the stiches applied, and the type of yarn.

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Overview of Electromagnetic Interference

Cited by 17 publications

References 1 publication

An Intelligent IoT and ML-Based Water Leakage Detection System

An Intelligent IoT and ML-Based Water Leakage Detection System

Analysis of electromagnetic interference in an analog control circuit

Modern Electromagnetic-Radiation-Shielding Materials Made Using Different Knitting Techniques

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