A Numerical Technique for Determining the Internal Field in Biological Bodies Exposed to Electromagnetic Fields

In this paper, the field prediction inside biological bodies exposed to electromagnetic incident waves is addressed by considering inverse scattering techniques. In particular, the aim is to evaluate the possibility of limiting the test area in order to strongly reduce the computational time, ensuring, at the same time, a quite accurate solution. The approach is based on separating the scattering contributions of the region under test and the other part of the biological body. The starting point is represented by the inverse-scattering equations, which are recast as a functional to be minimized. A Green's function approach is then developed in order to include an approximate knowledge (a model) of the biological body. The possible application of the approach for diagnostic purposes is also discussed

Color Distribution Analysis for Ripeness Prediction of Golden Apollo Melon

Human visual perception on color of melon fruit for ripeness judgement is a complex phenomenon that depends on many factors, making the judgement is often inaccurate and inconsistent. The objective of this study is to develop an image processing algorithm that can be used for distinguishing ripe melons from unripe ones based on their skin color. The image processing algorithm could then be used as a pre-harvest tool to facilitate farmers with enough information for making decisions about whether or not the melon is ready to harvest. Four sample groups of Golden Apollo melon were harvested at four different age, with 55 fruits in each group. Using the color distribution as results of the image analysis, the first two groups of the samples can be separated from other groups with minimal overlap, but they cannot be separated in the other two groups. The color image analysis of the melons in combination with discriminant analysis could be used to distiguish between harvesting age groups with an average accuracy of 86%

An investigation into microstructure and microstructural control of additive layer manufactured Ti-6Al-4V by electron beam melting.

An additive layer manufacturing (ALM) technique, electron beam melting, has been used for the production of simple geometries, from pre-alloyed Ti-6Al-4V powder. Microstructure, texture and mechanical properties achieved under standard conditions have been investigated, alongside numerical modelling of the electron beam and attempts to modify solidification through the addition of boron. Experimentation reveals an asymmetric electron beam which can be manipulated to produce different material responses. The electron beam has been used in this work, at its least powerful, as a means of preheating powder particles and, at its most powerful; to produce what is effectively a macro-scale electron beam weld. Numerical modelling and extraction of solidification parameters reveal that solidification occurs in the columnar region - columnar grains are observed experimentally and are a feature of the process. I Observed microstructures indicate a complicated thermal history that is capable of producing diffusion-less and diffusional transformation products. Electron backscatter diffraction (EBSD) and prior ~ grain reconstruction reveal a strong texture perpendicular to the build axis. Mechanical properties, tested over a range of build temperatures, are sensitive to temperature over the tested range of 625 - 700 °e. Attempts to disrupt columnar solidification via the addition of boron to Ti-6Al-4V, before subsequent EBM processing, were unsuccessful. Solidification remained in the columnar regime with no refinement in grain morphology observed

IMPLEMENTATION OF MULTIRATE TECHNIQUE IN WIRLESS APPLICATION USING FPGA

:Multirate filter is one of the main parts that determining the receiveing quality in wireless communication. Wireless applications including ETSI DVB-T/H digital terrestrial television transmission and IEEE network standards such as 802.11 (“WiFi”), 802.16 (“WiMAX”) have high quality data acquisition and storage system requirements which increasingly take advantage using multirate techniques to avoid the use of expensive anti-aliasing analogue filters and to handle efficiently signal of different bandwidths which require different sampling frequencies. So, the present work deals with the design and implementation of multistage distributed arithmetic FIR filter with efficient cost of multiplication and storage requirement. Previous work concerning the implementation of filter is either using special programmable devices or DSP processors. Some of these works used the FPGA based architectures to implement filter in single stage but with high cost and complex design to implement. The designed arrangements are simulated and implemented using VHDL based software on Virtex-II FPGA chip. High signal resolution and large dynamic range are the main features achieved in the work