IT General

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Hyperspectral Anomaly Detection Algorithm

This project is about an anomaly detection algorithm for ground-to-ground, or air-to-ground, software applications requiring automatic target detection making use of hyperspectral (HS) data. A data transformation approach is unveiled to be utilised by the two-sample data structure univariate semiparametric and nonparametric scoring. We have discussed about Hyperspectral Sensing Model, Semiparametric (SemiP) Anomaly Detection, HS Data Transformation, etc.

Mobile Paper based Computing

Military work-practice is a tough area of research as paper-based techniques continue to be used. This project comes with a simple solution which permits the digitization of information simultaneously as workpractice stays unaltered for troops utilizing maps in the field. For this reason, a mobile interactive paper-based system is designed which permits the users to keep their current work-flow.

Dynamic Reconfiguration with Virtual Services

We present a new architecture (virtual services) and accompanying implementation for dynamically adapting and reconfiguring the behavior of network services. Virtual services are a compositional middleware system that transparently interposes itself between a service and a client, overlaying new functionality with configurations of modules organized into processing chains.