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UdhayaKumar, C.
- Measurement of Electricity for Individual Devices Using Microcontroller
Authors
1 Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Tamil Nadu, IN
Source
Programmable Device Circuits and Systems, Vol 11, No 3 (2019), Pagination: 46-48Abstract
Electricity is something critical that has driven the presence of human life so natural. Additionally, it has reduced the efforts of the human life. As of late, the interest for the power has seen a quick improvement by the utilization of various appliances. With the expansion of the power age the utilization has likewise observed the amazing development. This makes the general population to be uninformed of the power devoured by the distinctive machines. The per capita utilization of power was. A power meter was utilized to calculate the energy consumed by the appliances. The real downside of this is. The project utilizes the PIC primarily centers lessening the utilization of power by doing some imperative work. Power supply is given for the working of the controller and the appliances. The individual appliances are connected and the energy consumed is calculated by the energy meter. By utilization of RTC the vitality devoured at the specific time is shown in the LCD. From this measurement, the power consumed, date, time and name of the device are displayed on the LCD monitor. A GSM based wireless communication module is interfaced with the controller that enables the remote access at the usage of electricity. The GSM module sends the message (SMS) to the customer of the electricity usage. This makes the venture increasingly solid by knowing the essential utilization and help the general population in observing the cash spend for some unused power. This is an efficient method for examination of the power.
Keywords
PIC Controller, Energy Meter, Photo Transistor, RTC, LCD Display, Short Messaging System (SMS).
References
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- IoT Based Smart Tracking and Monitoring System for Vehicle
Authors
1 Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, TamilNadu, IN
Source
Digital Signal Processing, Vol 11, No 3 (2019), Pagination: 48-50Abstract
Owner/Driver of the vehicle can lock/unlock car using mobile. Location of your vehicle can be tracked using GPS integrated with Google maps. While not keeping the lane, alert is given to the driver to keep lane using IR Sensor. In over-taking conditions, ultrasonic sensors at rear of car, senses vehicles at back and gives alert to driver whether to over-take or not. Also, finding of parking areas is a difficult task for all drivers. They have to drive to nearest parking area but that parking area may be filled. It increases fuel consumption in finding other parking area and also increases traffic congestion. It can be avoided by checking nearest available parking slots using Parking assistant. Also, customer can be keeping in track of their vehicle. Range finding sensors in-front of vehicles detects range between two vehicles and alerts the driver. Infotainment system gives all necessary information. Fuel level also can be monitored.
Keywords
Internet of Things, Fuel Monitoring, GSM-GPS Tracking System, Lane Keeping System.References
- Motor vehicle, Wikipedia, “https://en.wikipedia.org/ wiki/Motor_vehicle”
- John Sousanis, WardsAuto, World Vehicle Population Tops 1 Billion Units, “http://wardsauto.com/news-analysis/ world-vehicle-population-tops-1-billion-units”
- List of countries by traffic-related death rate, “https://en.wikipedia.org/wiki/List_of_countries_by_traffic-related_death_rate”
- World Health Organization, Global status report on road safety 2015.
- D. Nejdet & S. Abdulhamit, “Traffic Accident Detection By Using Machine Learning Methods”, International Symposium on Sustainable Development, At Bosnia and Herzegovina, Volume: 2, PP 468-474, March 2012.
- H. A. Najada & I. Mahgoub, "Anticipation and alert system of congestion and accidents in VANET using Big Data analysis for Intelligent Transportation Systems," 2016 IEEE Symposium Series on Computational Intelligence (SSCI), Athens, 2016, pp. 1-8.
- R. Patel, V. K. Dabhi and H. B. Prajapati, "A survey on IoT based road traffic surveillance and accident detection system (A smart way to handle traffic and concerned problems)," 2017 Innovations in Power and Advanced Computing Technologies (i-PACT), Vellore, 2017, pp. 1-7.
- Security System of Smart ATM Access and Status Analysis Using GSM Technology
Authors
Source
Digital Signal Processing, Vol 12, No 2 (2020), Pagination: 33-36Abstract
Automated Teller Machines (ATMs) innovation paralleled the growth of Personal Computers (PC) and telecommunication industries. ATMs have become very popular with the general public for their availability and general user friendliness. To date, most information systems authenticate their users by the use of passwords or Personal Identification Number (PIN). The existing selfbanking system has got very high popularity with 24 hours service. The ATM is activated by placing the card, then entering the pin number of the specific card. Passwords remain dominant means of authentication in today’s systems because of their ease, legacy deployment and ease of withdrawal. In a password or PIN based system, it is assumed that all parts of the system are trustworthy. It is assumed that the end user device is free from any untrustworthy activities such as password sniffing or system snapping.
Personal identification based on biometrics has been receiving extensive attention in public security and information security domains. Biometrics are automated methods of recognizing a person based on a physiological or behavioral characteristic. The use of biological characteristics such that “something you are” (i.e., the fingerprint) has always been a better identification method rather than “something you know”. Biometric-based solutions are able to provide for confidential financial transactions and personal data privacy. The various features used are face, fingerprints, hand geometry, handwriting, iris, retina, vein and voice. Fingerprinting or finger-scanning technologies are the oldest of the biometric sciences and utilize distinctive features of the fingerprint to identify or verify the identity of individuals.