Resonant Frequency Characteristics of a SAW Device Attached to Resonating Micropillars

Recently we reported experimental and simulation results on an increase in resonance frequency of a SAW resonator caused by mass loading of micropillars made of SU-8, attached normal to the surface of the resonator. We concluded that SAW resonator and the SU-8 micropillars in unison form a system of coupled resonators. We have now extended this work and performed a finite element method simulation to study the resonance frequency characteristics of the SAW-based coupled resonator. In this paper we report the effect of the resonance frequency of the micropillars on the resonance frequency of the system of coupled resonators, and observe the coupling of micropillar resonance and the propagating SAW as described in the well known Dybwad system of coupled resonators

Replacement of conventional reference electrode with platinum electrode for electronic tongue based analysis of dairy products

This work demonstrates the utility of platinum metal electrode as replacement for conventional Ag/AgCl reference electrode for voltammetric electronic tongue based analysis of edible dairy products. It overcomes the limitations of conventional silver-based reference electrode that presents a potential health hazard when employed for analysis of edible dairy products. Various dairy products like toned milk, Lassi and skimmed milk powder were tested using a cluster of platinum, gold and rhodium working electrodes. Responses of electrode cluster were captured using cyclic voltammetry. Comparative investigations were carried out between responses with platinum reference electrode and Ag/AgCl reference electrode. Repeatability and reproducibility of results have been examined. Our results suggest that platinum metal reference electrode can be reliably used for voltammetric electronic tongue based analysis of dairy products. Further this shall pave way for commercial development of electronic tongue technology in food sector adhering to hygienic and food safety regulations

An Efficient Implementation Approach to FFT Processor for Spectral Analysis

This article presents an efficient hardware implementation approach to a variable-size fast Fourier transform (FFT) processor for spectral analysis. Due to its capability to handle different frame sizes, it can be adapted in situations where operating parameters necessitate adhering to different standard requirements. A serial real-valued processor with a new data-flow graph is considered, as it requires the least number of multipliers. By joint use of stage-specific optimization and multiplierless structure, the overall hardware efficiency of the proposed design is enhanced. Clock gating is employed to enable the variable-size processor operation along with power reduction. A fixed-point (FP) analysis of the proposed design is considered. The proposed novel multiplierless structure is based on shift and accumulation (SA). This also includes the generation (and sharing) of partial products (PPs) based on their symmetries. The proposed design offers low area and low power as compared with the state of the art. It is demonstrated for spectral analysis of electroencephalogram (EEG) signals for machine-learning-based epileptic seizure prediction on a field-programmable gate array (FPGA) platform.</p

An Efficient Implementation Approach to FFT Processor for Spectral Analysis

This article presents an efficient hardware implementation approach to a variable-size fast Fourier transform (FFT) processor for spectral analysis. Due to its capability to handle different frame sizes, it can be adapted in situations where operating parameters necessitate adhering to different standard requirements. A serial real-valued processor with a new data-flow graph is considered, as it requires the least number of multipliers. By joint use of stage-specific optimization and multiplierless structure, the overall hardware efficiency of the proposed design is enhanced. Clock gating is employed to enable the variable-size processor operation along with power reduction. A fixed-point (FP) analysis of the proposed design is considered. The proposed novel multiplierless structure is based on shift and accumulation (SA). This also includes the generation (and sharing) of partial products (PPs) based on their symmetries. The proposed design offers low area and low power as compared with the state of the art. It is demonstrated for spectral analysis of electroencephalogram (EEG) signals for machine-learning-based epileptic seizure prediction on a field-programmable gate array (FPGA) platform.</p