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Summary Providing mobility along with maximum performance in shared spectrum environment is the main objective of Cognitive Radio Systems. Adopting substantial list of parameters to a spectrum aggregation based dynamic route frequency‐band switching is important in Cognitive Radio Mobile Ad‐Hoc Networks (CR‐MANET). Frequent frequency‐band switching affects the performance of the CR‐MANET. In this work geographical position (GPS) detail and spectrum source blind‐spot details are added to the band selection procedure of the Cognitive Radio system. In addition a dedicated Path Prediction Procedure is added with the band selection algorithm to avoid undesirable frequency‐band switching of a mobile CR device. Optimized frequency‐band switching reduces unwanted handovers, thus switching delay and End‐to‐End delay are reduced. Power used to switching between bands is kept in control by sustaining in stable frequency band for longer durations. The combination of GPS data and Path Prediction Procedure is designed to improve the Quality of Service (QoS) parameters like throughput, bandwidth utilization, and Energy efficiency.

Quantification of gene expression signatures has been substantiated as a potential and rapid marker for radiation triage and biodosimetry during nuclear emergencies. Similar to the established biodosimetry assays, the gene expression assay has drawbacks such as being highly dynamic and transient, not specific to ionizing radiation, and also influenced by confounding factors such as gender, health status, lifestyle, and inflammation. In view of that, prior knowledge of baseline expression of certain candidate genes in a population could complement the discrimination of the unexposed from the exposed individuals without the need for individual pre-exposure controls. We intended to establish a baseline expression of reported radiation-responsive genes such as <i>CDKN1A, DDB2</i>, <i>FDXR,</i> and <i>PCNA</i> in the blood samples of healthy human participants and then compare it with diabetic/hypertension participants (as a chronic inflammatory condition) drawn from south Indian population. Further, we have examined the appropriateness of the assay for radiation triage-like situations; i.e., the expression profiles of those genes were examined in the participants who underwent X-ray-based medical imaging. Acute inflammation induced by lipopolysaccharide exposure in the blood significantly increased the fold expression of those genes (<i>p</i> &lt; 0.0001) compared to the control. Whereas the basal expression level of those genes among the participants with the inflammatory condition is marginally higher than those observed in the healthy participants; despite the excess, the fold increase in those genes between the groups did not differ significantly. Consistent with the inflammatory participants, the basal expression level of those genes in the blood sample of participants who received X-radiation during neuro-interventional and computed tomography imaging is marginally higher than those observed in the pre-exposure of respective groups. Nevertheless, the fold increase in those genes did not differ significantly as the fold change fell within the two folds. Thus, overall results suggest that the utility of <i>CDKN1A, DDB2</i>, <i>FDXR,</i> and <i>PCNA</i> gene expression for radiation triage specific after very low-dose radiation exposure needs to be interpreted with caution for a much more reliable triage.

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A low power temporal-difference image sensor with wireless communication capability designed specifically for imaging sensor networks. The event-based image sensor features a 64 X 64 pixel arrays that capture and compressed the motion based images and compute the temporal difference images, while continuously monitoring for photocurrent changes. An ultra-wide-band radio channel allows transmitting digital temporal difference images wirelessly to a receiver with high rates and reduced power consumption. The sensor can enable the UWB when it detects a specific number of pixels intensity modulations, so that only significant frames are communicated. By the help of encoding technique the error rate is reduced up to 10% compared to previous work.