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This paper reports the synthesis of ZnS Quantum Dots (QDs) embedded in PVA by aqueous precipitation method and its application in antibacterial as well as to find or estimation of Escherichia coli (E.coli) concentration by using ZnS/PVA QD based mem-mode nanodevices. The as-synthesized ZnS/PVA samples are characterized by UV-Vis spectroscopy (UV), Photo luminescence (PL), X-ray diffraction (XRD), Transmission Electron Microscopy (TEM) and Scanning Electron Microscopy (SEM). Antibacterial property of ZnS/PVA QDs against gram positive (S.aureus) as well as gram negative (E.coli) are tested. The antibacterial property is found to be more in S.aureus in comparision to E.coli. Mem-behaviour of the as-fabricated devices is observed through electrical characterization. COMSOL MP Software is used for simulating I-V characteristics. The voltage gap is found to be a promising parameter for estimating E.coli concentration with ZnS/PVA QDs as active material and an electrical circuit is presented

Orthogonal Frequency Division Multiplexing (OFDM) is a special type of multicarrier technique where a single data stream is transmitted over a number of low rate sub carriers. OFDM has been adopted as the modulation method of choice for practically all the new wireless technologies being used and developed today. But symbol recovery is still a problem area in OFDM.We have used an Artificial Neural Network (ANN) for recovery of symbols transmitted using different sub-carriers in OFDM. The investigation is made in the multipath fading environment using different modulation techniques. The ANN is trained to recover symbols transmitted using different modulation schemes and with multiple subcarriers. The experimental results derived show the effectiveness of the model proposed.

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