Power Saving by Using Image Processing

This Paper Proposes Power Saving by using Image Processing. In India major problems of Energy and Power crisis because of it is developing country. We have many ways to save Electricity using Electric and Electronic Gadgets whenever and wherever is need and we can also switching them off, while not in use. But in many places such as large auditoriums and meeting halls, there will be a fan or an Air-conditioner keep running. Due to this, a large amount of electricity is wastage. We can prevent this wastage by using installing IR sensors to detect people. But these methods are quite costlier and required large areas. Therefore, we propose a new method of controlling the power supply by using Image Processing. In this paper, we have to take reference image and if any change in that reference image it will detected and change their status according to that and equipment will be turned on. In this way power wastage is controlled. We can use this system for dual purpose in which a camera is used for detecting people as well as surveillance. The main advantage of this system is a very simple, efficient and cheaper technique to save energy. Second big advantage is we extend this up to application like home automation etc

High Bandwidth Atomic Magnetometery with Continuous Quantum Non-demolition Measurements

We describe an experimental study of spin-projection noise in a high sensitivity alkali-metal magnetometer. We demonstrate a four-fold improvement in the measurement bandwidth of the magnetometer using continuous quantum non-demolition (QND) measurements. Operating in the scalar mode with a measurement volume of 2 cm^3 we achieve magnetic field sensitivity of 22 fT/Hz^(1/2) and a bandwidth of 1.9 kHz with a spin polarization of only 1%. Our experimental arrangement is naturally back-action evading and can be used to realize sub-fT sensitivity with a highly polarized spin-squeezed atomic vapor.Comment: 4 page

Evolution of the DeNOC-based dynamic modelling for multibody systems

Dynamic modelling of a multibody system plays very essential role in its analyses. As a result, several methods for dynamic modelling have evolved over the years that allow one to analyse multibody systems in a very efficient manner. One such method of dynamic modelling is based on the concept of the Decoupled Natural Orthogonal Complement (DeNOC) matrices. The DeNOC-based methodology for dynamics modelling, since its introduction in 1995, has been applied to a variety of multibody systems such as serial, parallel, general closed-loop, flexible, legged, cam-follower, and space robots. The methodology has also proven useful for modelling of proteins and hyper-degree-of-freedom systems like ropes, chains, etc. This paper captures the evolution of the DeNOC-based dynamic modelling applied to different type of systems, and its benefits over other existing methodologies. It is shown that the DeNOC-based modelling provides deeper understanding of the dynamics of a multibody system. The power of the DeNOC-based modelling has been illustrated using several numerical examples

Nature of heterochromatin

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Binet – Type Formula For The Sequence of Tetranacci Numbers by Alternate Methods

The sequence {Tn} of Tetranacci numbers is defined by recurrence relation Tn= Tn-1 + Tn-2 + Tn-3 + Tn-4; n≥4 with initial condition T0=T1=T2=0 and T3=1. In this Paper, we obtain the explicit formulla-Binet-type formula for Tn by two different methods. We use the concept of Eigen decomposition as well as of generating functions to obtain the result