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ATM Skimming is a major concern that needs to be addressed with a specific solution. ATM Skimming is done in two steps. One is stealing the Personal Information that is stored on the Debit card / Credit card using Rain cover connected to the card reader slot (ATM’s real card slot). The second is installing a Fake keypad that can capture the pin code when the card holder enters pin details. Few researchers have proposed solutions to address the issue using Image Processing techniques. However, it does not provide a complete solution in a long term. Hence it is of paramount importance to provide ATM with high security features. In order to solve the issue of ATM Skimming, An Embedded System design is proposed. The research is carried out in two phases. One is detection phase and the second is Prevention Phase. In the detection phase, Hardware components such as Arduino Mega, Force Sensing Resistor (FSR), GPS, GSM and Buzzer are used. Arduino Mega acts as a Central Processor that processes the information received from Force sensing resistor (FSR) and send SMS Messages to ROP and Bank Officials using GSM and informing them about the ATM Location using GPS where the Fraud is taking place. Buzzer can be used at the ATM Locations to alert nearby people. In the prevention Phase, as a preventive measure a Onetime password (OTP) technique is used. If a fraudster somehow succeeds in Fixing fake key pad and Rain Cover at ATM’s real card slot, When he tries to insert debit card, An OTP will be generated and is sent to the Card Holder which in turn he can know someone is trying to make Transactions and quickly he can ask bank officials to Block his account and inform ROP about the same. Expected findings of the proposed work is to detect  Fake keypads and Fake card readers using FSR placed at the edges of Original Keypad and card reader slot. Sending messages to ROP, BANK OFFICIALS and CARD HOLDER using GSM. ATM locations are identified using GPS. Buzzers are used to alert nearby people.

This study reports an ongoing effort to investigate the degradation rate of a low-speed Listeroid diesel engine running on filtered waste vegetable oil (WVO). It aims to measure the performance, wear rate, and emissions of the engine over the course of a 1,000 hour longevity test. In a consecutive arrangement, exhaust gas is used to heat the oil, reducing its viscosity close to that of diesel for the duration of the residence time in the fuel line. This reduces engine power loss, pumping losses, head losses, carbonization and coking, which ultimately increases longevity. When completed, the technical methods developed, data collected, lessons learned, and hardware used will all be incorporated into a manufacturable, stand-alone, cost-efficient, field conversion kit for the Listeroid engine. The results of this study will be beneficial in actualizing the widespread and practical use of WVO and straight vegetable oil (SVO) fuels in developing countries.

In this paper, We design and implement IOT based low power system that can be used in employee meeting rooms. The design is based on number of employees entering and leaving the room and automates room AC, lights and room freshners using relay device. The system designed counts number of employees entering the room using IR device and updates the number using counter and automates electrical appliances of the room and when leaving automatically switches off the devices. The power consumed is updated using ESP 8266 in the cloud called thing speak where the data can be evaluated and analyzed per day and per month. The system has 20*4 LCD which displays the complete details of the employees and electrical appliances. The working of the system starts with the entering of an employee in the room, the buzzer beeps and LED turns on. Arduino Mega is used as a central processor that controls all the appliances. The code is written in C and simulation is done using Proteus ISIS. Finally, the implemented system shows the energy consumption per day and per month and a detailed comparative analysis is done with and without connecting the system which shows a better saving of energy in the employee room. The methodology adapted for our work is V-methodology.