scholarly journals Investigation of the Effect of Electromagnetic Radiation on Human Health Using Remote Sensing Technique

2021 ◽  
Vol 11 (1) ◽  
pp. 117-122
Author(s):  
Mohammed Mejbel Salih
Keyword(s):  
Remote Sensing ◽  
Electromagnetic Radiation ◽  
Human Health ◽  
Mobile Phones ◽  
Social Life ◽  
Measuring Device ◽  
Remote Sensing Technique ◽  
Negative Side Effects ◽  
Remote Sensing Techniques ◽  
Effects Of Radiation

In the previous two decades, there has been a rapid and remarkable development in the field of communication technologies to encompass many joints of social life, especially devices for daily use, from mobile phones to laptops, to microwave transmitting and receiving towers, in addition to electromagnetic induction furnaces. This puts us in the fact that we are currently inside a multi-spectrum electromagnetic cloud. In this research, the effect of exposure to electromagnetic radiation and checking the negative side effects on the human body was studied through the use of remote sensing techniques, an electromagnetic radiation intensity measuring device for some devices circulating daily with humans, i.e. mobile phones, to assess the effect of this radiation emitted on human health. The study adopts elementary standards to determine the value of the radioactive energy and its effect on human organs after taking samples from cell phones. In addition, the results show that the effects of radiation depend on depends on the time of exposure.

EFFECT OF MAGNETIC FIELD FROM MOBILE PHONE ON CENTRAL NERVOUS SYSTEM

2015 ◽  
Vol 8 (3) ◽  
pp. 2267-2277
Author(s):  
Dr. Esmail Ali
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Adverse Effects ◽  
Electromagnetic Radiation ◽  
Mobile Phone ◽  
Human Health ◽  
Microwave Radiation ◽  
Electromagnetic Fields ◽  
Mobile Phones ◽  
Base Station

Devices such as mobile phones, wireless internet modems, and radios and televisions, which occupy an important place in social life, produce electromagnetic fields (EMFs). Widespread use of these devices in daily life increases the intensity of exposure to EMFs on a day to day basis. Investigation of the effects on health of devices such as mobile phones used in close proximity to the body is attracting considerable interest from scientists. Mobile phones manufactured using the latest technology operate in a high frequency range (300–3000 MHz). This further heightens concerns regarding the effect of mobile phones on human health. Most Global System for Mobile Communications (GSM) operators in Europe, Asia, and Africa use a frequency of 900 MHz. With the rapid development of electronic information and communication techniques, exposure to electromagnetic fields (EMFs) has increased dramatically. Some studies have focused on the biological effects of electromagnetic radiation. Microwave radiation has been reported as producing adverse effects in the central nervous system (CNS), including headache, sleep disorders, anxiety, cognitive dysfunction and neurogenesis impairment in both humans and animals. However, the direct effects of microwave radiation on neurodevelopment and the underlying mechanisms for any such effects remain unknown. As per today’s global scenario use of mobile phone is increasing day by day for communication. Due to its constant use, the electromagnetic radiation (EMR) emitted from the cell phone, base station and other household appliances cause adverse effects on human health. There is an increase concern about the interaction of EMR generated from mobile phones, with the human organs specially with brain because of its close and long proximity to human brain during the mobile usage. Concerns have shown whether these exposures could have effect on brain and central nervous system (CNS).

scholarly journals REMOTE SENSING TECHNOLOGIES FOR LINEAR INFRASTRUCTURE MONITORING

2019 ◽  
Vol XLII-2/W11 ◽  
pp. 461-468 ◽  
Author(s):  
P. D’Aranno ◽  
A. Di Benedetto ◽  
M. Fiani ◽  
M. Marsella
Keyword(s):  
Remote Sensing ◽  
Structural Characteristics ◽  
Methodological Approach ◽  
Laser Scanner ◽  
3D Models ◽  
Remote Sensing Technique ◽  
Safety Condition ◽  
Dense Point ◽  
Remote Sensing Techniques ◽  
Monitoring Technologies

<p><strong>Abstract.</strong> The need for a continuous evaluation of the state of preservation of civil infrastructures during their lifetime is increasingly requiring advanced monitoring technologies. The improvement of spatial and temporal resolution of the measurements is now one of the most significant achievement, especially for large infrastructures. Monitoring actions are necessary to maintain safety conditions by controlling the evolution of deformation patterns or detecting significant instabilities. Remote sensing technique such as Differential Interferometry by Synthetic Aperture Radar (DInSAR) allows identifying environmental vulnerability and potential damages on large road infrastructures thus contributing to plan and optimize maintenance actions. DInSAR data allow to highlight instability processes and to quantify mean deformation velocities and displacement time series. This information can be analysed considering geotechnical and structural characteristics and adopted to evaluate possible safety condition improvement and damage mitigation. Using proximal remote sensing techniques, such as Light Detection And Ranging (LiDAR), it is possible to analyse the pavement conditions on 3D models derived from a dense point cloud acquired by Mobile Laser Scanner (MLS). By combining the DInSAR and LiDAR datasets a great improvement is expected in the capability to promptly identifying critical situations and understanding potential risks affecting extended road infrastructures. The principal aim of this paper is to provide a general overview of the most innovative remote sensing techniques for infrastructure safety condition assessments. Furthermore, a methodological approach to define a reliable procedure for data processing and integration is applied on a test area located in the municipality of Rome.</p>

scholarly journals Spectral Band Optical Analysis for Shape and Material of Terrestrial Imaging by Using Remote Sensing Technique

2018 ◽  
Vol 3 (5) ◽  
pp. 52
Author(s):  
Safaa Mustafa Hameed ◽  
Abdulrazak A. S. Mohammed
Keyword(s):  
Remote Sensing ◽  
Spectral Band ◽  
Satellite Image ◽  
Processing System ◽  
Physical Test ◽  
Remote Sensing Technique ◽  
Gate Structure ◽  
Ancient City ◽  
Remote Sensing Techniques ◽  
Transmission And Absorption

Photogrammetric grid is the generation of processing system (which is one of the remote sensing techniques) with efficiency developed based on imaging and computer cluster parallel processing; the new application of photogrammetric technique has been applied on the Castel-Gate of Erbil city. It is a way of analyzing the objects especially for a traditional one "the castle in the ancient city of Erbil". This paper got the analysis of Erbil Castel-Gate structure using visible & IR spectral band analysis for transmission and absorption energy (El ) based on civil study, as well as the analyzing of chemical & physical test. On other hand the Satellite image of castle has been analyzed by using photogrammetric & GIS techniques. The result calculated the reflected energy values. 

scholarly journals Mobile telephony and its effects on human health

2019 ◽  
pp. 225-234
Author(s):  
Andrzej Magiera ◽  
Jolanta Solecka
Keyword(s):  
Electromagnetic Radiation ◽  
Human Health ◽  
Mobile Phones ◽  
Brain Activity ◽  
The Body ◽  
Base Stations ◽  
Mobile Telephony ◽  
International Agency ◽  
Negative Effects ◽  
The Impact

In recent years, there has been a rapid increase in the number of electromagnetic radiation sources such as mobile phones and base stations of mobile telephony. This radiation has been classified by the International Agency for Research on Cancer as a possible human carcinogen (group 2B). For this reason, many studies have been carried out on the impact of mobile telephony on human health. The largest of the experiments were carried out on animals. Due to the divergent results of many studies, there was no clear answer on the possible carcinogenic effects of this type of radiation on health. Detection of cancer shortly after an exposure is the most difficult task in analyzing the results. Some of the studies require repetition and verification of the results. In the case of negative effects of electromagnetic fields on brain activity, sleep, heart rate, cognitive function and blood pressure, no consistent evidence has been obtained either. In view of the increasing popularity of mobile phones, their location at short distances from the body (mainly the head) and the development of mobile phone technologies (which entails an increase in the number of base stations), further research, especially among young people, is needed. The duration of human exposure to electromagnetic radiation is subject to an increase and only further research can provide an answer on the possible negative effects of mobile phones and base stations.

scholarly journals Weed Detection in Rice Fields Using Remote Sensing Technique: A Review

2021 ◽  
Vol 11 (22) ◽  
pp. 10701
Author(s):  
Rhushalshafira Rosle ◽  
Nik Norasma Che’Ya ◽  
Yuhao Ang ◽  
Fariq Rahmat ◽  
Aimrun Wayayok ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Weed Management ◽  
Agricultural Development ◽  
Automated Detection ◽  
Rice Fields ◽  
Weed Detection ◽  
Remote Sensing Technique ◽  
Sensing Platforms ◽  
Remote Sensing Techniques ◽  
The Ideal

This paper reviewed the weed problems in agriculture and how remote sensing techniques can detect weeds in rice fields. The comparison of weed detection between traditional practices and automated detection using remote sensing platforms is discussed. The ideal stage for controlling weeds in rice fields was highlighted, and the types of weeds usually found in paddy fields were listed. This paper will discuss weed detection using remote sensing techniques, and algorithms commonly used to differentiate them from crops are deliberated. However, weed detection in rice fields using remote sensing platforms is still in its early stages; weed detection in other crops is also discussed. Results show that machine learning (ML) and deep learning (DL) remote sensing techniques have successfully produced a high accuracy map for detecting weeds in crops using RS platforms. Therefore, this technology positively impacts weed management in many aspects, especially in terms of the economic perspective. The implementation of this technology into agricultural development could be extended further.

Sign in / Sign up

Export Citation Format

Share Document