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Vipeesh, P.
- Measuring and Analyzing the SAR Inclination in Human Exposure
Abstract Views :176 |
PDF Views:2
Authors
Jacob Abharam
1,
P. Vipeesh
1
Affiliations
1 Department of Electronics, BPC College, Piravom, IN
1 Department of Electronics, BPC College, Piravom, IN
Source
Digital Signal Processing, Vol 3, No 7 (2011), Pagination: 366-370Abstract
This paper makes an attempt to study and analyze the various operating parameters which influence the SAR measurements. The experimental evaluations are done in the radiative near field area covering a distance between 30-50 m depending upon the operating frequency. This paper tries to locate a suitable frequency whose SAR will be minimum. According to international standards the key parameters that influence SAR include distance, frequency phone angle, Tissue type and the Age.Keywords
Mobile Phone, Specific Absorption Rate, Electromagnetic Fields, Radiative Near Field, FDTD.
- Modeling and Performance Comparison of Nanobiosensor for Automated Disease Detection
Abstract Views :139 |
PDF Views:4
Authors
Affiliations
1 Karpagam University, Coimbatore, IN
2 Electronics and Communication Engineering Department, Karpagam College of Engineering, Coimbatore, IN
1 Karpagam University, Coimbatore, IN
2 Electronics and Communication Engineering Department, Karpagam College of Engineering, Coimbatore, IN
Source
Biometrics and Bioinformatics, Vol 3, No 6 (2011), Pagination: 292-298Abstract
Automated disease detection and drug dosing is one of the most advanced emerging medical applications domain. With the advances in nanotechnology, nanobio sensors are being used to detect diseases. System level design and validation of automated disease detection unit is one of the challenging areas of study. In this paper, we develop a software based experimental setup for performance analysis of nanobio sensors for disease detection. Blood samples and fluids in human body are modeled using appropriate parameters and a mathematical model for nanobiosensor is developed. Performances of three nanobiosensors are analyzed and its properties are compared. Simulations of nanobiosensors are carried out using nanohub.org and Matlab. The results obtained are analyzed with simulation results in nanohub. The developed sensors are suitable for automated drug delivery unit.Keywords
Nanobio Sensors, Disease Detection, Nanowire, Mathematical Modeling.- Novel Approach for Nano-Bio Sensor Modelling for Automated Disease Detection
Abstract Views :144 |
PDF Views:0
Authors
Affiliations
1 Karpagam University, Coimbatore, IN
1 Karpagam University, Coimbatore, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 6 (2012), Pagination: 1-24Abstract
In this paper, the mathematical models required to describe the functionality of nanodevices have been reviewed. Based on these mathematical models sensor equivalent circuits have been developed. An experimental setup is developed to analyze the characteristics of IS Field Effect Transistor (ISFET), nanowire and nanosphere devices. The impact of geometrical properties on device performance is estimated based on the experimental setup. Settling time and surface analyte concentration graphs obtained using the experimental setup is used in designing a nanobio sensor for disease detection. Based on the test results, a mathematical model has been developed in Matlab to model nanodevices. Three different iterations of sensor models are carried out based on the results obtained. Curve fitting techniques are adopted to generalize the developed sensor model using Savitzky-Golay Filter (SG Filter). The sensors modeled can be used for automated drug detection and delivery unit.Keywords
ISFET, Savitzky-Golay Filter, Curve Fitting Techniques, Nanomaterials.Full Text