Radio-frequency electromagnetic field from mobile phones

The Lancet ◽  
1998 ◽  
Vol 352 (9127) ◽  
pp. 576-577 ◽  
Author(s):  
S Braune ◽  
C Wrocklage ◽  
J Raczek ◽  
T Gailus ◽  
CH Lücking
Keyword(s):  
Electromagnetic Field ◽  
Radio Frequency ◽  
Mobile Phones

Radio-frequency electromagnetic field from mobile phones

The Lancet ◽  
1998 ◽  
Vol 352 (9127) ◽  
pp. 576 ◽  
Author(s):  
Stuart WJ Reid ◽  
George Gettinby
Keyword(s):  
Electromagnetic Field ◽  
Radio Frequency ◽  
Mobile Phones

MOBILE PHONES ELECTROMAGNETIC FIELD RADIATION RESEARCH AND ANALYSIS OF ITS DISPERSION BY APPLYING MATLAB7 SOFTWARE

2017 ◽  
Vol 16 (5) ◽  
pp. 1177-1184
Author(s):  
Raimondas Buckus ◽  
Pranas Baltrenas ◽  
Jonas Skeivalas ◽  
Raimondas Grubliauskas ◽  
Igor Cretescu
Keyword(s):  
Electromagnetic Field ◽  
Mobile Phones ◽  
Field Radiation ◽  
Radiation Research

scholarly journals Application of postured human model for SAR measurements

2013 ◽  
Vol 11 ◽  
pp. 347-352
Author(s):  
M. Vuchkovikj ◽  
I. Munteanu ◽  
T. Weiland
Keyword(s):  
Electromagnetic Field ◽  
Mobile Phones ◽  
Biological Tissues ◽  
Human Model ◽  
Homogeneous Material ◽  
Software Application ◽  
Research Activities ◽  
Human Models ◽  
Digital Human Models ◽  
Digital Human

Abstract. In the last two decades, the increasing number of electronic devices used in day-to-day life led to a growing interest in the study of the electromagnetic field interaction with biological tissues. The design of medical devices and wireless communication devices such as mobile phones benefits a lot from the bio-electromagnetic simulations in which digital human models are used. The digital human models currently available have an upright position which limits the research activities in realistic scenarios, where postured human bodies must be considered. For this reason, a software application called "BodyFlex for CST STUDIO SUITE" was developed. In its current version, this application can deform the voxel-based human model named HUGO (Dipp GmbH, 2010) to allow the generation of common postures that people use in normal life, ensuring the continuity of tissues and conserving the mass to an acceptable level. This paper describes the enhancement of the "BodyFlex" application, which is related to the movements of the forearm and the wrist of a digital human model. One of the electromagnetic applications in which the forearm and the wrist movement of a voxel based human model has a significant meaning is the measurement of the specific absorption rate (SAR) when a model is exposed to a radio frequency electromagnetic field produced by a mobile phone. Current SAR measurements of the exposure from mobile phones are performed with the SAM (Specific Anthropomorphic Mannequin) phantom which is filled with a dispersive but homogeneous material. We are interested what happens with the SAR values if a realistic inhomogeneous human model is used. To this aim, two human models, a homogeneous and an inhomogeneous one, in two simulation scenarios are used, in order to examine and observe the differences in the results for the SAR values.

scholarly journals Advanced Footstep Power Generation using RFID for Charging

2021 ◽  
Vol 9 (12) ◽  
pp. 969-980
Author(s):  
Priyanka Naresh Chandra Dayal
Keyword(s):  
Power Generation ◽  
Radio Frequency ◽  
Mobile Phone ◽  
Mobile Phones ◽  
Radio Frequency Identification ◽  
Piezoelectric Sensors ◽  
Charging Time ◽  
Time Period ◽  
Frequency Identification ◽  
Day By Day

Abstract: Day by day, the population of the country is increasing and the requirement of the power is also increasing in many ways. So, reforming this energy back to usable form is the major solution for future needs. In this Footstep power generation project, power is generated by human’s footsteps, so as to charge the battery by storing the power generated with the help of piezo sensors. The power stored in the battery, used to charge the mobile phones using RFID card. This system is powered by Atmega 328 microcontroller, it consists of Arduino IDE, RFID Sensor, USB Cable and LCD. When power is on in the system, the system enters into the registration mode. Three users can registered. Once all the users entered in the system, then the system asks to swipe the card and connect the charger. Initially all the user is given 5 minutes of charging time as default. When card is swiped and the user is authorized, the system turns on for charging the Mobile phone within a given time period. Keywords: Arduino Uno, Arduino IDE, Piezoelectric Sensors, RFID (Radio Frequency Identification ), LCD

The Adverse Effect of Electromagnetic Radiation From Cellular Base Stations in Nigeria

2021 ◽  
pp. 269-280
Author(s):  
Ndidi Stella Arinze ◽  
Patrick Uche Okafor ◽  
Osondu Ignatius Onah
Keyword(s):  
Field Strength ◽  
Radio Frequency ◽  
Electromagnetic Radiation ◽  
Mobile Phones ◽  
Absorption Rate ◽  
Specific Absorption Rate ◽  
Base Stations ◽  
Telecommunication Industry ◽  
Specific Absorption ◽  
The People

On a global scale, the telecommunication industry is experiencing tremendous growth in mobile phones. Mobile phones communicate with base stations that are erected by the telecommunication industry. The base station produces radio frequency and exposes the people near the base stations to radiation. The effect of electromagnetic radiation from four base stations located at the residential area was studied by measuring their electric field strength and calculating their magnetic field strength and power density at different distances covering a frequency range of 900MHz to 2100MHz. The obtained values showed that the four cellular base stations are operating above the standard values of the International Commission on Non-Ionizing Radiation Protection Electromagnetic Field Radiation. The specific absorption rate was measured to determine the amount of radio frequency electromagnetic radiation absorbed by the human body. The result which is in the range of 3.22-3.70 W/kg is higher than the acceptable 2 W/kg for localized specific absorption rate.

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