A Novel Radio Mode Identification Approach for Spectrum Sensing in Cognitive Radios

The paper suggests a radio mode identification algorithm for spectrum sensing that utilizes time frequency analysis and digital image processing techniques to identify various transmission parameters of the primary user. The classical spectrum sensing techniques only provide information about existence of spectrum holes in the spectrum band of interest. However the proposed approach enables the cognitive radio to identify spectral behavior of the primary users in addition to identifying the spectrum holes with greater accuracy. These parameters can be utilized to decide the suitability of the identified spectrum holes and predict pattern of spectrum usage in near future

Optimal Spectrum Sensing Threshold for Unequal Priors Case

Classical spectrum sensing techniques utilize maximum likelihood (ML) detection for identification of spectrum holes. The approach is sub-optimal for the case of un-equal priors where the probabilities of channel occupation and vacancy are not the same. Such situations are bound to occur in most commercial bands such as GSM etc and hence are of more interest. The loss in performance has been disregarded as negligible in most of the work done on spectrum sensing techniques. This paper quantifies the effects of changing priors on classical energy detection and infers that the loss in spectrum sensing performance is not negligible. The deterioration is especially considerable at low SNR values and at low probabilities of channel occupation. An optimum threshold for achieving minimum probability of error has been derived in this work for unequal prior case. Detection based on the proposed threshold out-performs classical detectors under the assumption that priors are known at the receiver

Phytochemistry and Pharmacological Review: Spathodeacampanulata

Spathodeacampanulata (S.campanulata) belongs to the family Bignoniaceae, commonly known as the Fountain tree, African tulip tree, Flame-of-the forest. S.campanulata parts of the plant such as flowers, leaves, stem, bark, and roots are used for anti-malaria, healing of wound, diureticanalgesic and anti-inflammatory activities in folk medicine. The S.campanulata is known to possess various therapeutic properties have been reported for possessing anti-inflammatory, analgesic, cytotoxic, anti-diabetic, and anticonvulsant activity. Phytochemical study shows the presence of various secondary metabolites like alkaloids, tannins, flavonoids, glycosides, and sterols. This review aims to provide detailed information regarding geographical distribution, phytochemicals, and pharmacological properties of the S.campanulata

Lateral Pre-crash Sensing and Avoidance in Emotion Enabled Cognitive Agent based Vehicle-2-Vehicle Communication System

A novel inter-vehicle communication system based on emotion enabled cognitive (EEC) agent has been anticipated as an intelligent solution to evade the road catastrophe due to hasty decisions by drivers. An input stimulus is processed in human brain using a short route and a long route during any emergency situation. The proposed EEC agent, mounted inside a vehicle, acts like a human brain and is stirred by short route information processing mechanism of human brain in fear condition. The results are acquired for the decisions made by the proposed approach through the EEC agent using short route and human drivers using long route during urgent situations. A pre crash sensing and avoidance algorithm has been proposed as well to mitigate the lateral or side by side collision using EEC agent.  Experimental findings reveal that by commencing emotions with cognition, and using formulated L-PCSA algorithm, lateral collisions chances can be sensed and avoided to secure the valued lives of passengers. It has been pragmatic that the new approach is very effectual and useful in shunning the lateral road collisions