SPRING SOURCE TECHNOLOGIES

This instructable will teach you to build a simple Arduino based Voting machine using simple components such as push buttons and LCD. The highlighting feature of this system is that Serial Monitor in Arduino IDE is used to perform the polling operation no other external applications needed. Key Features: Every step of polling operation will be under control of the supervisor. Password enabled security system. Poll results can be obtained instantly. Voter will be aware of the candidate he is voting for. Step 1: PARTS REQUIRED This simple project can be done with minimal components. The parts list are given below Arduino Uno - 1 16x2 LCD -1 Push Buttons - As required Potentiometer 100k - 1 Breadboard - 1 Connecting Wires - As required. Step 2: DESIGN The design of the voting machine was given here. The Arduino reads the keypad input by the process of Polling. A 16x2 LCD was connected to the PORTD in 4 bit mode. Thi...

An efficient algorithm for the bursting of Service-based applications in hybrid Clouds Abstract Enterprises are more and more using hybrid cloud environments to deploy and run applications. This consistsin providing and managing software and hardware resources within the enterprise and getting additional resources providedexternally by public clouds whenever this is needed. In this later case, deployment of new applications consists in choosing aplacement of some components in the private cloud and some others in the public cloud. To tackle this NP-hard problem, we haveproposed in a previous work an approximate approach based on communication and hosting costs induced by the deploymentof components in the public cloud. In this paper, we go further and propose a new efficient algorithm adapted for service-basedapplications modelled that can be not only described as behavior-based but also as architecture-based compositions of services Existing System Scalability of app...

An Attribute-assisted Reranking Model for Web Image Search ABSTRACT v Image search Reranking is an effective approach to refine the text-based image search result. Most existing Reranking approaches are based on low-level visual features. v exploit semantic attributes for image search Reranking. Based on the classifiers for all the predefined attributes, each image is represented by an attribute feature consisting of the responses from these classifiers. A hypergraph is then used to model the relationship between images by integrating low-level visual features and attribute features. v Hypergraph ranking is then performed to order the images. Its basic principle is that visually similar images should have similar ranking scores. In this work, we propose a visual-attribute joint hypergraph learning approach to simultaneously explore two information sources. EXISTING SYSTEM     Image search Reranking is an effective approach to refine the text...

A Time Efficient Approach for Detecting Errors in Big Sensor Data on Cloud Abstract                                                                                                                                                      ...