Aswini N

Work place: Dept of Electronics & Communication, MVJCE, Bengaluru and 560067,India.

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Research Interests: Interaction Design, Computer systems and computational processes, Computer Architecture and Organization, Processor Design, Data Structures and Algorithms, Algorithm Design

Biography

Aswini N, presently works as Assistant professor in Dept. of E&C at MVJ College of
Engineering, Bangalore. She pursued her Bachelors in Applied Electronics &
Instrumentation from College of Engineering, Thiruvananthapuram in 2002 and Masters in
VLSI Design and Embedded systems from VTU in 2011.She has 6 years of teaching
experience and her areas of interest are in Multi-core processor architectures and VLSI
Design.

Author Articles
Near Field Communication

By Nagashree R N Vibha Rao Aswini N

DOI: https://doi.org/10.5815/ijwmt.2014.02.03, Pub. Date: 8 Mar. 2014

Near Field Communication (NFC), an emerging short-range wireless point to point interconnection technology, with the combination of handheld electronic device has become a potential tool for the two devices to exchange various information when in close range. NFC unites various standards and proprietary technologies. This paper presents a brief introduction about the NFC and various applications and security issues.

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Approaches of Buried Object Detection Technology

By Nagashree R N Aswini N

DOI: https://doi.org/10.5815/ijwmt.2014.02.04, Pub. Date: 8 Mar. 2014

This paper describes the different art of buried object detection technology and algorithms. This detection of buried object finds application in many areas, importantly in the Landmine detection which is of growing concern due to the danger of buried landmines to people’s lives, economic growth and development. This paper describes and analyzes different technology available. The approaches discussed are Electrical Impedance Tomography, X-ray backscatter, Infrared Systems, Acoustics/seismic systems; Neutron based Method and finally Ground-Penetrating Radar with two commonly available approaches: Least squares and SVD approach. Finally, the paper concludes highlighting the need to improve the way this information is processed and compared.

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Other Articles