green communication: an approach to reduce electromagnetic hypersensitivity from cellular phones
TRANSCRIPT
Green Communication: A Stipulation to Reduce
Electromagnetic Hypersensitivity from
Cellular Phone
BBA CENTRAL UNIVERSITY LUCKNOW
by
NEERAJ KUMAR
RA-UPCST (Young Scientist Scm.)
Email: [email protected]
GREEN COMMUNICATION…???
An approach to minimize the defects
or risk associated to
communication
systems,
RF devices,
networks
and Mobile
phones etc.
Wireless
Networking
System
Engineering
Mobile
Computing
Electronic
Engineering
To approach over the stimulation of Green Communication against to electromagnetic Hypersensitivity from Cellular Phones
The Cellular
communication technologies have played an imperative role in making life pattern comfortable and improving quality of life.
Cellular phones have revolutionized the modern age of communication. But appropriate usages of the modern appliances should encourage and awareness on injudicious usage should also disseminate to regulate its ill effects.….
Cellular phone are now widely used by the majority of the adults, teenagers and even the children using them out of
curiosity and interest. In the world billions of user are subscribing and daily they exposed trough the Cellular
phone radiation.
India is one of the fastest growing cellphone subscribers in the world
Above 86 crore cellular phone are subscribed in India.
Cellular phones have been introduced without full provision of information about physics & nature of system. No prior discussions were made within the
scientific speculations about its possible consequences for human health.
International Authorities WHO, FCC, IEEE etc. are continue approaching to provide safety measures for
cellular phone usage
Human Studies [Y] Sub-thermal EM effects were found (not necessarily at significant levels).
[N] The black indicates that no EM effects were found.
Interphone study-
Meningioma and mobile phone use—a collaborative case-control study in
five North European countries
A Lahkola et al; International Journal of Epidemiology. Advance Access
published August 2, 2008
1 STUK – Radiation and Nuclear Safety Authority, Helsinki, Finland. 2 Tampere School of Public Health, University of Tampere, Tampere, Finland. 3 Section of Epidemiology, Institute of Cancer Research, Sutton, UK. 4 Institute of Cancer Epidemiology, Danish Cancer Society, Copenhagen,
Denmark. 5 Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden. 6 Institute of Population-based Cancer Research, The Cancer Registry of Norway,
Oslo, Norway. 7 Norwegian Radiation Protection Authority, Østerås, Norway.
[Y] Acute mobile phone effects on pre-attentive operation. apageorgiou CC,
Nanou ED, Tsiafakis VG, Kapareliotis E, Kontoangelos KA, Capsalis CN,
Rabavilas AD, Soldatos CR.
Neurosci Lett. Jan 4; 2006
[N] Does acute exposure to mobile phones affect human attention?
Russo R, Fox E, Cinel C, Boldini A, Defeyter MA, Mirshekar-Syahkal D, Mehta A
Bioelectromagnetics. Nov 22; 2005
[Y] Subjective symptoms related to mobile phone use.
Szyjkowska A, Bortkiewicz A, Szymczak W, Makowiec-Dabrowska T.
Pol Merkuriusz Lek. 19(112):529-532, 2005
[N] Electromagnetic field emitted by 902 MHz mobile phones shows no
effects on children's cognitive function.
Haarala C, Bergman M, Laine M, Revonsuo A, Koivisto M, Hamalainen H
Bioelectromagnetics. Jul 29; 2005
[Y] Effects of radiofrequency radiation emitted by cellular telephones on
the cognitive functions of humans.
Eliyahu I, Luria R, Hareuveny R, Margaliot M, Meiran N, Shani G
Bioelectromagnetics. Nov 22; 2005
[N] Influence on the mechanisms of generation of distortion product
otoacoustic emissions of mobile phone exposure.
Parazzini M, Bell S, Thuroczy G, Molnar F, Tognola G, Lutman ME, Ravazzani
P.
Hear Res. Jul 26 2005
[Y] Psychophysiological tests and provocation of subjects with mobile
phone related symptoms. Wilen J, Johansson A, Kalezic N, Lyskov E,
Sandstrom M. Bioelectromagnetics. Nov 22; 2005
[N] Investigation of potential effects of cellular phones on human auditory
function by means of distortion product otoacoustic emissions.
Janssen T, Boege P, von Mikusch-Buchberg J, Raczek J.
J Acoust Soc Am. 117(3 Pt 1):1241-1247, 2005
[Y] The effect of electromagnetic fields emitted by mobile phones on
human sleep. Loughran SP, Wood AW, Barton JM, Croft RJ, Thompson B,
Stough C. Neuroreport. 16(17):1973-1976, 2005
Studies on Behaviour [Y] Sub-thermal EM effects were found (not necessarily at significant levels).
[N] The black indicates that no EM effects were found.
[Y] Acute mobile phone effects on pre-attentive operation.
Papageorgiou CC, Nanou ED, Tsiafakis VG, Kapareliotis E, Kontoangelos
KA, Capsalis CN, Rabavilas AD, Soldatos CR.
Neurosci Lett. Jan 4; 2006
[N] Whole-body exposure to 2.45GHz electromagnetic fields does not alter 12-
arm radial-maze with reduced access to spatial cues in rats.
Cosquer B, Kuster N, Cassel JC.
Behav Brain Res. 161(2):331-334, 2005
[Y] Effects of radiofrequency radiation emitted by cellular telephones
on the cognitive functions of humans.
Eliyahu I, Luria R, Hareuveny R, Margaliot M, Meiran N, Shani G
Bioelectromagnetics. Nov 22; 2005
N] Hands-free mobile phone conversation impairs the peripheral visual system
to an extent comparable to an alcohol level of 4-5 g 100 ml.
Langer P, Holzner B, Magnet W, Kopp M
Hum Psychopharmacol. 20(1):65-66, 2005
[Y] The effect of electromagnetic fields emitted by mobile phones on
human sleep.
Loughran SP, Wood AW, Barton JM, Croft RJ, Thompson B, Stough C.
Neuroreport. 16(17):1973-1976, 2005
[N] Effects of chronic exposure of electromagnetic fields from mobile phones
on hearing in rats.
Kizilay A, Ozturan O, Erdem T, Tayyar Kalcioglu M, Cem Miman M
Auris Nasus Larynx. 30(3):239-245, 2003
Studies on General Cellular Functions [Y] Sub-thermal EM effects were found (not necessarily at significant levels).
[N] The black indicates that no EM effects were found.
[Y] Free Radical Release and HSP70 Expression in Two Human Immune-
Relevant Cell Lines after Exposure to 1800 MHz RFR.
Lantow M, Schuderer J, Hartwig C, Simko M. Radiat Res. 165(1):88-94, 2006
[N] Hsp70 expression and free radical release after exposure to non-
thermal radio-frequency electromagnetic fields and ultrafine particles in
human Mono Mac 6 cells.
Simko M, Hartwig C, Lantow M, Lupke M, Mattsson MO, Rahman Q, Rollwitz
J.
Toxicol Lett. 161(1):73-82, 2006
[Y] Nitric oxide level in the nasal and sinus mucosa after exposure to
electromagnetic field. Yariktas M, Doner F, Ozguner F, Gokalp O, Dogru H,
Delibas N
Otolaryngol Head Neck Surg. 132(5):713-716, 2005
N] In vitro effects of GSM modulated radiofrequency fields on human
immune cells.
Tuschl H, Novak W, Molla-Djafari H.
Bioelectromagnetics. Dec 8; 2005
[Y] Hearing level and intensive use of mobile phones
Garcia Callejo FJ, Garcia Callejo F, Pena Santamaria J, Alonso Castaneira I,
Sebastian Gil E, Marco Algarra J.
Acta Otorrinolaringol Esp. 56(5):187-191,
N] Effects of 900 MHz electromagnetic fields exposure on cochlear cells'
functionality in rats:
Galloni P, Lovisolo GA, Mancini S, Parazzini M, Pinto R, Piscitelli M,
Ravazzani P, Marino C.
Bioelectromagnetics. Jul 21; 2005
Cellular Systems
GSM -900/1800 (Global System of Mobile Communications)
CDMA (Code Division Multiple Access)
TDMA (Time Division Multiple Access)
FDMA (Frequency Division Multiple Access)
SDMA (Space Division Multiple Access)
Electromagnetic radiation (EMR) is a
self-propagating wave in space or
through matter
EM radiation (EMR) has an electric and magnetic field component which oscillate in
phase perpendicular to each other and to the direction of energy propagation.
EM radiation carries energy and momentum, which may be imparted
when it interacts with matter
Magnetic
wave
Electric
wave
EMR: Electromagnetic Radiation
A quantum (quanta) is an indivisible entity of a quantity that has the same
units as the Planck constant and is related to both energy and momentum
of elementary particles of matter (called fermions) and of photons
IONIZING RADIATION
Ionizing radiation consists of highly-energetic particles or waves that can ionize at least one electron from an
atom or molecule.
x-rays, -rays, ultraviolet rays (high)
NON-IONIZING
RADIATION
EM radiation that does not carry enough energy per quantum* to
ionize atoms or molecules.
EM radiation has sufficient energy only for excitation, the movement of an electron to a higher energy state.
i.e., Near ultraviolet, visible light, infrared, microwave, radio waves
S. No. Frequency Spectrum Frequency range(≈) Corresponding Energy(≈)
1 Power line frequency Few to about 30 KHz near zero to 1.2 X 10 -10 eV
2 Radio and television
broadcasting frequencies 30 KHz to 300 KHz 1.2 X 10 -10 eV to 1.2 X 10 -6 eV
3 Cellular phone systems 900 MHz 3.5 X 10 -6 eV*
4 Microwave frequencies 300 MHz to 3 X 1011 Hz 1.2 X 10 -6 eV to 1.2 X 10 -3 eV
5 Infrared frequencies 3 X 1011 to 4.3 X 10 14 Hz 1.2 X 10 -3 eV to 1.8 eV
6 Visible frequencies 4.3 X 10 14 Hz to 7.5 X 10 14 Hz 1.8 eV to 3.1 eV
7 Ultraviolet frequencies range 7.5 X 10 14 Hz to 3 X 10 17 Hz 3.1 eV to 1.2 keV*
8 X-ray frequencies 3 X 10 17 Hz to 3 X 10 19 Hz 1.2 keV to 120 keV
* Electromagnetic radiation with energies in below of 10 eV is called Non-Ionizing
radiation.
Electromagnetic Energy
( 1/)
A CASE STUDY
To gather the information about the
demographic and social characteristics of
cellular phone subscribers in India, is main
object of this study. Further, to establish a co-
relation for possible association in terms of self
reported HEADACHE symptoms among
extensive and low cellular phone usage.
To evaluate the possible risk of headache symptom through self reported
complains among Cellular phone users
To assess the risk factors associated to headache
symptoms in male, female and children
population individually
Information Gathering Chronological Model (IGCM)
Accepted for publication in Lecture
Notes in Computer Science (LNCS-
Springer ) 2012.
1 Aligarh
2 Allahabad
3 Ambedkar
Nagar
4 Azamgarh
5 Balrampur
6 Bangalore
7 Barabanki
8 Bhind
9 Chatarpur
10 Chennai
11 Chindwara
12 Faizabad
13 Gazipur
14 Gorakhpur
15 Guna
16 Gwalior
17 Indore
18 Jhansi
19 Kanpur
20 Kolkata
21 Lakhimpur
22 Lalitpur
23 Lucknow
24 Maharajganj
25 Mirzapur
26 Mumbai
27 Roorkee
28 Shivpuri
29 Sitapur
30 Sonbhadra
31 Unnao
1. Sample Size The 659 subjects were randomly
selected from following study regions
of India for survey
2. Subject involved
Survey Study
Children
Female Male
3. Survey Strategy
A well designed questionnaire was used for
Survey.
Page 1 Page 2
4. Survey Methodology
We followed modified methodology of
INTERPHONE study
A largest case–control study of mobile phone use and brain tumours yet
and includes the largest numbers of users with at least 10 years of
exposure.
Funding for Study- Rs 124 Crore.
Australia
Canada
Denmark
Finland
France
Germany
Israel
Italy
Japan
New Zealand
Norway
Sweden
UK North
UK South
5. Major Criteria for Study
[a] Demographic and Social Characteristics
[b] Cellular Telephone Utilization Patterns
[c] Association of the Symptoms and
Sensations to the Subjects
[d] Awareness over the Safety Measures to
Reduce the Cellular Telephone’s Exposure
Gender
Male
Female
Age in years
Educational Level
Primary school
Higher Secondary School
High School
Intermediate
University (UG or PG)
Professional Education (engineering/
/management/medical course)
Income (monthly in Rs)
No income
>Rs 5,000
< Rs 5,000 - Rs 10,000>
≤ Rs 10,000 - Rs 15,000>
≤ Rs 15,000 - Rs 20,000>
≤Rs 20,000
Family detail
No of family members
No of cellular telephone user
No of children (Below 16 years)
No of children (having own CP)
[a] Demographic and Social Characteristics of Subjects
[b] Cellular telephone utilization patterns
Frequency of use
Non regular use (≤1 years)
Regular use (>1 years)
Life-time years of use
<1 year – 3 years>
≤3 years – 5 years>
≥5 years
Number of calls per day
Dialed calls
Received calls
Hours of use per day
≥1.5 hours
<1.5 hours – 3 hours>
≤3 hours – 5 hours>
≥5 hours
Mode of use
Ringing mode
Vibration mode
Both (Ringing+Vibration) Mode
[c] Association of the symptoms and sensations to
the subjects
Disease
Yes
No
Smoking
Never
Regular
No regular
Symptoms/sensations
No symptom
√ Headache
Forgetfulness
Irritation
Dizziness
Ringing delusion
Increase in carelessness
Stammering
Neurophysiologic discomfort
Tremor
Warmth on ear
Decrease in hearing
[d] Awareness over the safety measures to
reduce the cellular phone exposure Which side you prefer to use your cell phone?
Left ear side
Right ear side
Do you use any device when you call with cell phone?
Ear phone
Speaker mode
No devices
Do you put your cell phone generally in to
Bags
Shirt Pocket (L or R)
Pant Pocket (L or R)
Others
Do you switched off your cell phone before sleeping in
night?
Yes
No
Do you put your cell phone near the head when you
sleep?
Yes
No
Prevalence of Headache to CP User’s Life
Time Exposure
LU 33%
NU 21%
MU 32%
HU 14%
LU: Low User (=< 500 hours); NU (>500 and =< 1000 Hours); MU
(>1000 and =< 5000 Hours); HU (>5000 Hours); CP: cell phone
Results
Prevalence of Headache to CP User’s
Literacy
Prevalence of Headache to CP User’s
Yearly Use
LU NU MU HU
Male CP users (460) 145 (31.5%) 93 (20.2%) 155 (33.7%) 67 (14.6%)
Cases of
Headache (59)
13 (9%) 13 (9%) 25 (16.1%) 8 (11.9%)
P- value - 0.230 0.066 0.502
OR (95%CI) Reference 1.650 (0.729-3.737) 1.953 (0.958-3.982) 1.377 (0.542-3.499)
Female CP users (199) 72 (36.2%) 47 (23.6%) 54 (27.1%) 26 (13.1%)
Cases of
Headache (33)
11 (33.3%) 7 (21.2%) 10 (30.3%) 5 (15.2%)
P- value - 0.954 0.630 0.641
OR (95%CI) Reference 0.970 (0.347-2.713) 1.260 (0.492-3.227) 1.320 (0.411-4.244)
N.B.-LU: Low User (=< 500 hours); NU (>500 and =< 1000 Hours); MU (>1000 and =< 5000 Hours); HU (>5000 Hours); CP: cell phone,
NF: Not Found cases, Data was analyzed using binary logistic regression test. P-value <0.05 was considered as significant. OR: odds ratio,
CI: confidence interval
N.B.-LU: Low User (=< 500 hours); NU (>500 and =< 1000 Hours); MU (>1000 and =< 5000 Hours); HU (>5000 Hours); CP: cell phone,
NF: Not Found cases, Data was analyzed using binary logistic regression test. P-value <0.05 was considered as significant. OR: odds ratio,
CI: confidence interval
LU NU MU HU
Children CP users (35) 16 (45.7%) 9 (25.7%) 10 (28.6%) NF
Cases of
Headache (6)
2 (33.3%) 2 (33.3%) 2 (33.3%) NF
P- value - 0.529 0.609 NF
OR (95%CI) Reference 2.00 (0.231-17.338) 1.75 (0.205-14.931) NF
Adult CP users (624) 201 (32.2%) 131 (21.0%) 199 (31.09%) 93 (14.9%)
Cases of
Headache (86)
22 (25.6%) 18 (20.9%) 33 (38.4%) 13 (15.1%)
P- value - 0.445 0.104 0.456
OR (95%CI) Reference 1.296 (0.666-2.523) 1.617 (0.906-2.887) 1.322 (0.634-2.756)
N.B.-LU: Low User (=< 500 hours); NU (>500 and =< 1000 Hours); MU (>1000 and =< 5000 Hours); HU (>5000 Hours); CP: cell phone,
NF: Not Found cases, Data was analyzed using binary logistic regression test. P-value <0.05 was considered as significant. OR: odds ratio,
CI: confidence interval
LU NU MU HU
Urban CP users (489) 159 (32.5%) 97 (19.8%) 160 (32.7%) 73 (14.9%)
Cases of
Headache (69)
19 (27.5%) 17 (24.6%) 23 (33.3%) 10 (14.5%)
P- value - 0.216 0.522 0.709
OR (95%CI) Reference 1.566 (0.770-3.184) 1.237 (0.645-2.374) 1.170 (0.514-2.659)
Rural CP users (170) 58 (34.1%) 43 (25.3%) 49 (28.8%) 20 (11.8%)
Cases of
Headache (23)
5 (21.7%) 3 (13.0%) 12 (52.2%) 3 (13.0%)
P- value - 0.763 0.031 0.423
OR (95%CI) Reference 0.795 (0.179-3.524) 3.438 (1.117-10.58) 1.871 (0.404-8.657)
N.B.-LU: Low User (=< 500 hours); NU (>500 and =< 1000 Hours); MU (>1000 and =< 5000 Hours); HU (>5000 Hours); CP: cell phone,
NF: Not Found cases, Data was analyzed using binary logistic regression test. P-value <0.05 was considered as significant. OR: odds ratio,
CI: confidence interval
LU NU MU HU
Overall CP users (659) 217 (32.9%) 140 (21.2%) 209 (31.7%) 93 (14.1%)
Cases of
Headache (92)
24 (11.1%) 20 (14.3%) 35 (16.7%) 13 (14.0%)
P- value - 0.366 0.091 0.469
OR (95%CI) Reference 1.340 (0.710-2.531) 1.618 (0.925-2.827) 1.307 (0.634-2.694)
RA trend for risk of headache was observed among
moderate user (MU) when compared to low users (LU).
The level risk was1.6 fold more in MU in compare to LU. The
same was observed in male population in overall analysis.
Among the rural cellular phone subscribers headache was
significantly associated with MU when compared to LU.
The MU of rural area had 3.4 fold increased risk of headache
than LU. Among urban population, risk for the trend of ringing
delusion was observed in HU than the LU.
The above key results may approach to stimulate the Green
Communication in Wireless Devices/RF devices among
Academicians/ Technocrats / Young researchers etc.
We will approach for research to look at the association of the Cellular phone usage to
Social behaviour, cognitive
impairment, depression and sleep-related problems.
Further, a case control study will be initiated among children CP users, those would be
suffering from to neurological diseases
entitled as MOBI-child
‘MOBI-child’ Study
Proposal
Neurobehavioral effects in mice through the acute exposure of cellular irradiation, Journal of Neurochemistry, Volume 115, s1, pg76, 2010.
N. Kumar, R. A. Khan and V. P. Sharma.
The Adult Cellular Users are Extra attentive to Symptom ‘Ringing Disillusion’ in comparison to Children Users, Proceeding of World Congress of Neurotechnology, pg 21, Rome, Italy, 12-14 October, 2010.
N. Kumar, V. P. Sharma and R. A. Khan.
Prevalence of Headache among extensive and normal cellular phone users, Journal of Neurochemistry, special issue, s2, Volume 110 Issue s2 , pg228, 2009
N. Kumar, V. P. Sharma, N. Mathur, M. Y. Khan and R. A. Khan.
Recovery of Metals and Plastics from Electronic Waste. Bharatiya Vaigyanik evam Audyogik Anusandhan Patrika, National Institute of Science Communication And Information Resources (NISCAIR) CSIR, 16,2, pp 94-98, Dec 2008
N. Kumar, P. Shukla and V. P. Sharma.
Wireless Communication-A progressive tool of IT with some challenges for human health and Safety, WCSN07, pp. 187-192) IEEE Conference proceedings Dec 13-15, 2007.
N Kumar, K Shukla, V. K. Khanna and V. P. Sharma
OUR PUBLICATIONS
TOWARDS GREEN COMMUNICATION
CELLULAR COMMUNICATION: A HEALTH CONCERN ON RINGING DELUSION. BOOK “Molecular Mechanism of Neurological and Psychiatric Disorders” volume 1, Publication Cooperation, Comenius University Jessenius Faculty of Medicine in Martin Institute of Medical Biochemistry, Mala Hora 4, Martin 036 01 SLOVAKIA, 2011. [ISBN 978-80-88866-99-2].
N. Kumar, R. A. Khan and V. P. Sharma
CELL SHOCKED!
Cover study, Science Reporter, National Institute of Science communication And Information Resources (NISCAIR) CSIR, Vol.44 No.1st January 2007. [ISSN: 0036-8512 ]
N.Tiwari, K. Shukla, C.S. Ojha, A. B. Pant and V.P. Sharma
INTERNATION BOOK CHAPTERS & MAGAZINES
ACCEPTED IN CONFERENCES….
Green Communication - A Stipulation to Reduce Electromagnetic Hypersensitivity from Cellular Phone. Procedia Technology, 2012
N. Kumar, R. A. Khan and M. Y. Khan
Cellular Phone: A Contemporary Tool for Biometric Implications. Procedia Technology, 2012
N. Kumar, R. A. Khan and D. Pandey
Mobile phone user should limit their harmful radio frequency by cutting the
length of calls.
Hands-free devices cut exposure by keeping the instrument away from the
head and body.
During driving use of mobile phone should be restricted/banned.
People with hearing aids are advised not to use mobile phones.
Base stations, must be avoided near children’s schools and playgrounds.
Use of hands-free device, such as headphones so that there may be minimum RF exposure to the head
Don’t use the cellphone when one is in heavy traffic
If you have the option of calling from a landline phone, go for it.
Minimize the length of calls, don’t discuss useless talks
Women should avoid cellphone use during pregnancy period
Avoid to stay near a cell phone tower and other group users for a long period
You are advised to use a cellphone in places with a strong signal
As much as possible keep the cellphone away from your body in night.
Avoid cellphone use in research laboratories and hospitals
Check the specific absorption rate of cellophane before purchasing new (<2.0W/kg)
Avoid to give cellphone to children for play like a toy
These safety measures are not recommended by authorities;
The points are only for suggestion.
ICMR (Indian Council of Medical Research)
ICNIRP (International Commission of Non-Ionizing Radiation Protection)
NCRP (National Council on Radiation Protection and Measurements)
IEEE (Institute of Electrical and Electronics Engineers)
FCC (Federal Communications Commission)
SAA (Standards Association of Australia)
NRPB (National Radiological Protection Board)
IEGMP (International Expert Group on Mobile Phones)
RNCNIRP (Russian National Committee of Non-Ionizing Radiation Protection)
HCN (Health Council of Netherlands)
ARPANSA (The Australian Radiation Safety and Nuclear Safety Agency)
FDA (Food and Drug Administration)
INTERNATIONAL TRAVEL AWARD
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USA NSF-GEM4 2010
INTERNATIONAL TRAVEL AWARD
THAILAND ISN-CAEN 2010
BURSARY AWARD
ITALY CC 2010
NOMINATIONS AND AWARDS
ACADEMIC COUNCIL MEMBER
BBA University, Lucknow
(2010-2011)
FOREIGN TRAVEL SUPPORT
USA DST 2009
INTERNATIONAL TRAVEL AWARD
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STUDENT TRL/WORKER FELLOWSHIP
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BEST PAPER AWARD
World Congress of Neurotechnology, Rome
ITALY
2010
Research is in progress at various parts of the globe and contradictions are parallel to previous so sporadic available
information from various sources is needed to be correlate with the scientific findings and real use situations
This is an attempt to compile salient research findings and draw a road map to stipulate GREEN COMMUNICATION in order to design
safe wireless technology
Thank you