A Review: An Active Response Smart System For Survival Detection On Disaster Precincts

The disaster and warning smart system has been widely used to create awareness among the general population in an emergencysituations. However the existing smart system surveillance and detection system unable to provide real time communication mechanism togaining the information about earthquakedisaster before it. However, aneffectiveand resilient ICT networks played an important role to save the human life. In this research, the different resilient information communication technology (ICT) networks has been reviewed and proposed a new logical architecturewhich helps to disseminatereal time information to various components of networks while provide anactive response facility to its cross pounding department.The proposed system detects the under-surface survivals through aliveness sensing techniques (their movements, breathing, and respiration patterns) and sends itto concerned cells such as responders’ cell phones, base station unit and relevant quick disaster management response cell.

GPR Virtual Guidance System for Subsurface 3D Imaging

Three-dimensional GPR imaging requires evenly and densely distributed measurements, ideally collected without the need for ground surface markings, which is difficult to achieve in large-scale surveys. In this study, a guidance system was developed to guide the GPR operator to walk along a predesigned traverse, analogous to the flight path design of an airborne drone. The guidance system integrates an auto-track total station unit (ATTS), and by estimating the real-time offset angle and distance, guidance corrections can be provided to the operator in real time. There are two advantages: (1) reduced survey time as grid marking on the ground is no longer needed and (2) accurate positioning of each traverse. Lab and field experiments were conducted in order to validate the guidance system. The results show that with the guidance system, the survey paths were better defined and followed in terms of feature connectivity and resolution of images, and the C-scans generated were closer to the real subsurface world.