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3 International Journal of Electronics and Telecommunications

3 2010

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Software Engineering for Mapping Radio Frequency Pollution

Chaczko Z., Aboura K., Agbinya J.

International Journal of Electronics and Telecommunications

2010

Vol. 56, No. 2

129-136

Electromagnetic fields radiation has raised concerns within several segments of the population in the past three decades. Many studies proved inconclusive, in part due to the scarcity of data. We propose the idea of a geographical model based radiation pollution database. We discuss networked sensing technology for detection and monitoring of electromagnetic fields. We elaborate on software engineering issues for the visualization in real time of electromagnetic field mappings and the dissemination of information through various means and levels of access. We propose the database be complimented by a data algorithmic software solution for the extraction of patterns.

Pseudo Bayesian and Linear Regresssion Global Thresholding

Aboura K.

International Journal of Electronics and Telecommunications

2010

Vol. 56, No. 1

63-72

Classification is an important task in image analysis. Simply recognizing an object in an image can be a daunting step for a computer algorithm. The methodologies are often simple but rely heavily on the thresholding of the image. The operation of turning a color or gray-scale image into a black and white image is a determining step in the effectiveness of a solution. Thresholding methods perform differently in various problems where they are often used locally. Global thresholding is a difficult task in most problems. We highlight a pseudo Bayesian and a linear regression global thresholding methods that performed well in an engineering problem. The same approaches can be used in biomedical applications where the environment is better controlled.

Mapping and Recognition of Radio Frequency Clutter in Various Environments in Australia

Agbinya J., Lee V., Aboura K., Chaczko Z.

International Journal of Electronics and Telecommunications

2010

Vol. 56, No. 2

137-144

Radio frequency spectrum mapping allows determining the radio frequency signatures prevalent within an environment. We address the primary frequency bands used for cellular, wireless Local Area Network (LAN), Universal Mobile Telecommunications System (UMTS) and Ultra-wideband (UWB) communications. The purpose of the experiment presented in this paper is to map the detected radio frequencies within an environment and display the collated data on a graphical user interface. A program identifies the presence of the aforementioned radio frequency signatures and recognizes signal levels which exceed the exposure standards enforced by the Australian Communication and Media Authority. The results assist in the understanding of the ramifications of long-term exposure to radio frequency radiation associated with the continued proliferation of wireless devices.