Fraud Voters Detection using Smart Electronic Voting Machine

The main aim of this project is to provide secured identification and authentication processes for the voters and candidates by using fingerprint and face detection. The basic idea of this project is to make an electronic voting machine that will help to reduce the manual voting systems and prior versions of electronic voting. This system includes multiple layers of verifications to ensure the reliability of the device. every voter is entered into the system after being diagnosed and checked with the given database of enlisted electorate with together with fingerprint sensor and Pi camera.The final vote is then displayed onto a monitoring system for the satisfaction of voters. The voting problem is still critical in terms of safety and security. This project is about the design and improvement of a machine the use of fingerprint and face detection to offer a high performance with excessive safety to the vote casting gadget. Fingerprint is broadly used for identification. The proposed undertaking displays transparency and also carries the function of being self sustaining during the route of operation. Election is the act of party casting votes to choose on man or woman for some type of function. Election may additionally involve a public or private vote relying on the position. maximum of the positions like local, state, and federal governments are balloting on in a few form of election. An electronic voting system defines valid voting and gives a fast method of counting votes, which helps to conclude a final result. In this project, we propose an idea to avoid fraud voting and increases security about the voting. Lot of methods have been developed to avoid fraudulence in voting systems, but we are not able to reduce it completely. This system is secure, transparent, reliable as well as easy to use for the citizens. We scan the finger print and face of every individual. The scanned finger print is authenticated, If matches the individual is allowed to cast the vote

Spartan Daily November 6, 2012

Volume 139, Issue 38https://scholarworks.sjsu.edu/spartandaily/1354/thumbnail.jp

A design concept for radiation hardened RADFET readout system for space applications

Instruments for measuring the absorbed dose and dose rate under radiation exposure, known as radiation dosimeters, are indispensable in space missions. They are composed of radiation sensors that generate current or voltage response when exposed to ionizing radiation, and processing electronics for computing the absorbed dose and dose rate. Among a wide range of existing radiation sensors, the Radiation Sensitive Field Effect Transistors (RADFETs) have unique advantages for absorbed dose measurement, and a proven record of successful exploitation in space missions. It has been shown that the RADFETs may be also used for the dose rate monitoring. In that regard, we propose a unique design concept that supports the simultaneous operation of a single RADFET as absorbed dose and dose rate monitor. This enables to reduce the cost of implementation, since the need for other types of radiation sensors can be minimized or eliminated. For processing the RADFET's response we propose a readout system composed of analog signal conditioner (ASC) and a self-adaptive multiprocessing system-on-chip (MPSoC). The soft error rate of MPSoC is monitored in real time with embedded sensors, allowing the autonomous switching between three operating modes (high-performance, de-stress and fault-tolerant), according to the application requirements and radiation conditions

Sustainable Development Report: Blockchain, the Web3 & the SDGs

This is an output paper of the applied research that was conducted between July 2018 - October 2019 funded by the Austrian Development Agency (ADA) and conducted by the Research Institute for Cryptoeconomics at the Vienna University of Economics and Business and RCE Vienna (Regional Centre of Expertise on Education for Sustainable Development).Series: Working Paper Series / Institute for Cryptoeconomics / Interdisciplinary Researc