Effects of short-term W-CDMA mobile phone base station exposure on women with or without mobile phone related symptoms

2009 ◽  
Vol 30 (2) ◽  
pp. 100-113 ◽  
Author(s):  
Toshiaki Furubayashi ◽  
Akira Ushiyama ◽  
Yasuo Terao ◽  
Yoko Mizuno ◽  
Kei Shirasawa ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Base Station ◽  
Short Term ◽  
Mobile Phone Base Station

Analysis of Antenna Types Performance in Mobile Phone Base Station

2017 ◽  
Author(s):  
Saba Fadhel Jaf ◽  
Muhamed Fadhel Jaf ◽  
Niyaz Fadhel Jaf
Keyword(s):  
Mobile Phone ◽  
Base Station ◽  
Mobile Phone Base Station

scholarly journals Use of portable exposure meters for comparing mobile phone base station radiation in different types of areas in the cities of Basel and Amsterdam

2014 ◽  
Vol 468-469 ◽  
pp. 1028-1033 ◽  
Author(s):  
Damiano Urbinello ◽  
Anke Huss ◽  
Johan Beekhuizen ◽  
Roel Vermeulen ◽  
Martin Röösli
Keyword(s):  
Mobile Phone ◽  
Base Station ◽  
Different Types ◽  
Mobile Phone Base Station

Mobile phone base station radiation does not affect neoplastic transformation in BALB/3T3 cells

2008 ◽  
Vol 29 (1) ◽  
pp. 55-64 ◽  
Author(s):  
H. Hirose ◽  
T. Suhara ◽  
N. Kaji ◽  
N. Sakuma ◽  
M. Sekijima ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Neoplastic Transformation ◽  
Base Station ◽  
3T3 Cells ◽  
Mobile Phone Base Station

Residents’ Traveling Track and Analysis Methods Based on Mobile Phone Data

2014 ◽  
Vol 926-930 ◽  
pp. 2730-2734 ◽  
Author(s):  
Pan Li ◽  
Ye Wen Gao ◽  
Ju Wei Wu ◽  
Xu Li ◽  
Bing Bing Wu
Keyword(s):  
Mobile Phone ◽  
Base Station ◽  
Urban Transport ◽  
Mobile Phone Data ◽  
Analysis Method ◽  
Station Data ◽  
National Economic ◽  
Gis Data ◽  
Mobile Phone Base Station ◽  
National Economic Development

To avoid traffic congestion’s becoming the obstruct of social and national economic development is the final goal that professionals in transportation field make great efforts to pursue. At the same time, with the increasing popularity of mobile phones, we can get a lot of phone base station data to identify the residents’ travelling track. Thus we can analyze the residents’ travelling behavior and get residents’ travelling patterns and mechanism. Also, residents’ travelling could be induced and guided in order that the condition of urban transport can be improved. Based on the above background, this paper is mainly based on mobile phone base station data and GIS data analysis method research on the urban transportation of residents’ travelling track.

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