EARLY-WARNING SYSTEM FOR LANDSLIDE

landslide is a common geological disaster, which seriously threats people’ssafety and property.For landslide, this paper proposesan early warning system for landslide. It uses 89c52 microcontrollerto construct node. Each node contain four sensors such as moisture sensor, acceleration sensors, rain gauge, flex sensor and zigbee are used to connect multiple nodes. Zigbee is used to transmit all reading to receiver sidethrough monitoring host. VB display receiveddata or by SMS we canalert the people and saves lives and property. The system is completely useful according to result. Efficiency of solar panel systems must be maximized to make solar energy more usable. By sun tracking we can increasethe efficiency of solar panel

NON-INVASIVE METHOD FOR DIABETES DETECTION USING NADI PARIKSHA AND ANN.

Inthis work,a non invasive technique is proposed to detect diabetes from tridosha analysis. This system uses three piezoelectric pressure sensors for Vaat,Pitta and Kapha signals respectively.These three signals are then amplified and filtered using signal condition unit.Along with tridosha analysis, artificial neural network(ANN) is used for classification purpose. An ANN takes typical features extracted from signal as input.ANN is trained using back propagation algorithm tominimize the errorFeatures are related to amplitude and frequency variations.This system effectively uses knowledge of ayurveda for diagnosis of diabetes