scholarly journals IoT Based Smart Public Distribution System

This project proposes an automatic strategy for conveyance of products to the individual card holders. The database has subtleties of commodities distribution to individual card holders. By utilizing the android phone, the clients get to their database and they can see the stock availability. The Minutiae extraction based fingerprint matching algorithm is used for identification of individual cardholders. For automatic distribution of commodities, the DC Motors are used. The Raspberry pi controller is used to control the DC Motor and to open and close the valves

2011 ◽  
Vol 135-136 ◽  
pp. 739-742
Author(s):  
Jin Hai Zhang

Fingerprint recognition has wide application prospect in all fields which contain identity authentication. Construction of accurate and reliable,safe and Practical automatic fingerprint identification system(AFIS) has become researc hotspot. Although theoretical research and application developmen of AFIS have got a significant Progress,accuracy of the algorithm and proeessing speeds till need to be improved. In this paper, fingerprint image preprocessing algorithms,fingerprint singular Points and minutiae extraction algorithm and fingerprint matching algorithm are analyzed and discussed in detail.


2019 ◽  
Vol 8 (2S8) ◽  
pp. 1189-1192

Many industries use separately excited DC motors for torque control applications[1]. Because of its wide range of adjustment and easier control. Moreover, to test the novel control algorithms DC motor drive is used as system [2]. A sensor less control system is used in this paper to control its speed by using hybrid fuzzy PI Controller, and the speed of motor is estimated with the help of adaptive observer[4]. A Hybrid Fuzzy-PI Controller is proposed in this paper instead of a linear PI controller or Fuzzy Controller inroder improve the performance of motor[5]. Simulation results using MATLAB/SIMULINK shows that the Hybrid Fuzzy - PI control system performs well when compared with linear PI and Fuzzy controller technically


This paper proposes a novel application for automating the Public Distribution System. The Government of India supplies essential commodities for everyday use like food grains (rice, wheat), kerosene (fuel for cooking) etc. to a large number of people by an elaborate machinery called Public Distribution System (PDS). This system currently works on manual processes. In this work, it is proposed that Smart Automated Ration Disbursal System (SARDS) using IoT replace the manual processes in PDS. This system consists of Embedded Controllers for online biometric authentication of the consumer, smart measuring for accurate disbursal of the commodities and real-time updating of data on the server. A prototype system to demonstrate its working is built using Arduino and Raspberry Pi controllers. An automatic dispensing system for solid as well as liquid commodity is fabricated and interfaced with the controllers using solenoid valves and sensors. Robust feedback is built into the system using sensors for accurate disbursal of material and detection of theft. Finally, experimental results showing accuracy of delivery of material and time required to process one consumer request are tabulated and analyzed. This system, when deployed in actual field, is expected to be operational 24x7 and ensure safe, secure, fast and corruption-free distribution of Ration commodities to the general public


2020 ◽  
Vol 14 (1) ◽  
pp. 86-101
Author(s):  
Sebastián Herrera Aristizábal ◽  
Julio Alejandro Hincapié Correa ◽  
Luis Hernando Ríos González ◽  
Sebastián López Flórez

This article describes the implementation of a fuzzy and a PID control system for the velocity and torque of a DC power motor, based in the variation of the armor current and its duty cycle. The control system has been applied to a medium power DC motor, using Python, and a low-cost embedded system - Raspberry Pi, this work is fundamental given the importance of implementing velocity and torque controllers that yield energy optimization and correct operation being achieved through the regulation of the duty cycle applied to the power of the DC motor.


Author(s):  
Andrean George W

Abstract - Control and monitoring of the rotational speed of a wheel (DC motor) in a process system is very important role in the implementation of the industry. PWM control and monitoring for wheel rotational speed on a pair of DC motors uses computer interface devices where in the industry this is needed to facilitate operators in controlling and monitoring motor speed. In order to obtain the best controller, tuning the Integral Derifative (PID) controller parameter is done. In this tuning we can know the value of proportional gain (Kp), integral time (Ti) and derivative time (Td). The PID controller will give action to the DC motor control based on the error obtained, the desired DC motor rotation value is called the set point. LabVIEW software is used as a PE monitor, motor speed control. Keyword : LabView, Motor DC, Arduino, LabView, PID.


2010 ◽  
Author(s):  
Aditi Dubey ◽  
Aditi Garg ◽  
Asif Nasim ◽  
Madhvendra Misra ◽  
Vijayshri Tiwari ◽  
...  

2016 ◽  
Author(s):  
Marlon Lucas Gomes Salmento ◽  
Fernando Miranda Vieira Xavier ◽  
Bernardo Sotto-Maior Peralva ◽  
Augusto Santiago Cerqueira

2021 ◽  
pp. 1-9
Author(s):  
Bandana Sen ◽  
Aloke Kar

The present study provides a snapshot of the level of degradation of economic and living conditions of middle-class households of Kolkata and its neighbourhood during ‘lockdown’. It is based on an on-line survey of households of students of five purposively-selected colleges carried out during the second half of May 2020. The survey reveals that inflow of regular normal income had ceased altogether for over 40% of the sample households. About 15% of the households suffered from outright job loss or complete denial or withholding of wages and salaries payments of their members in paid employment and another about 27% reported complete closure of small businesses run by them. The normal-times income had altogether ceased for over a half of the households of the lowest income group. Predictably, the worst hit group was the wage labourers. Over four-fifths households with their prime earning member in wage employment reported job and earnings related problems, with over a fourth reporting job losses. Households with self-employed prime earners too were severely affected, with about three-fourths of them reporting such problems. Even the households with regular-salaried prime earners were badly hit. About a half of them reported job and earnings related problems. The results suggest that food grains distribution through the Public Distribution System (PDS) played a decisive role in averting an imminent famine-like situation. About 60% of the sample households were found to have procured food stuff from the PDS. Among the wage-labourers’ households, well over 80% reported dependence on the PDS, with ostensibly a large proportion of them receiving food altogether free. Despite free food grains distribution, about 5% of the sample households could not arrange three meals a day for all its members.


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