Design and Analysis of a RFID Reader Microstrip Array antenna for IoT Applications in Smart Cities

This paper presents the design of 2*1 and 4*1 RFID reader microstrip array antenna at 2.4GHz for the Internet of things (IoT) networks which are Zigbee, Bluetooth and WIFI. The proposed antenna is composed of identical circular shapes radiating patches printed in FR4 substrate. The dielectric constant εr and substrate thickness h are 4.4 and 1.6mm, respectively. The 2*1 and 4*1 array antennas present a gain improvement of 27.3% and 61.9%, respectively. The single,2*1 and 4*1 array antennas were performed with CADFEKO.

Design and Analysis of a RFID Reader Microstrip Array Antenna for IoT Applications in Smart Cities

This paper presents the design of 2*1 and 4*1 RFID reader microstrip array antenna at 2.4GHz for the Internet of things (IoT) networks which are Zigbee, Bluetooth and WIFI. The proposed antenna is composed of identical circular shapes radiating patches printed in FR4 substrate. The dielectric constant εr and substrate thickness h are 4.4 and 1.6mm, respectively. The 2*1 and 4*1 array antennas present a gain improvement of 27.3% and 61.9%, respectively. The single,2*1 and 4*1 array antennas were performed with CADFEKO.

An RFID Based Access Control System operating with a Computer Program and a Database

This article focuses on the realization of an access control system based on RFID (Radio Frequency by Identification) technology. It is an authentication system for controlling access to a sensitive place. This system is composed of RFID cards which are badges that act as electronic keys, an RFID reader, an electronic lock, a microcontroller, a wifi module and a database installed on a computer. The identification number of an RFID card detected by the RFID reader is transferred, via the serial interface, to the microcontroller that communicates with the computer through the wifi module for verification in the database. If the information is valid, the microcontroller triggers the opening of the electronic lock.

The Relationship between Drone Speed and the Number of Flights in RFID Tag Reading for Plant Inventory

Accurate inventory allows for more precise forecasting, including profit projections, easier monitoring, shorter outages, and fewer delivery interruptions. Moreover, the long hours of physical labor involved over such a broad area and the effect of inefficiencies could lead to less accurate inventory. Unreliable data and predictions, unannounced stoppages in operations, production delays and delivery, and a considerable loss of profit can all arise from inaccurate inventory. This paper extends our previous work with drones and RFID by evaluating: the number of flights needed to read all tags deployed in the field, the number of scans per pass, and the optimum drone speed for reading tags. The drone flight plan was divided into eight passes from southwest to northwest and back at a horizontal speed of 2.2, 1.7, and 1.1 m per second (m/s) at a vertically fixed altitude. The results showed that speed did not affect the number of new tags scanned (p-value > 0.05). Results showed that 90% of the tags were scanned in less than four trips (eight passes) at 1.7 m/s. Based on these results, the system can be used for large-scale nursery inventory and other industries that use RFID tags in outdoor environments. We presented two novel measurements on evaluating RFID reader efficiency by measuring how fast the reader can read and the shortest distance traveled by the RFID reader over tag.

A Reliable and Efficient Tracking System Based on Deep Learning for Monitoring the Spread of COVID-19 in Closed Areas

Since 2020, the world is still facing a global economic and health crisis due to the COVID-19 pandemic. One approach to fighting this global crisis is to track COVID-19 cases by wireless technologies, which requires receiving reliable, efficient, and accurate data. Consequently, this article proposes a model based on Lagrange optimization and a distributed deep learning model to assure that all required data for tracking any suspected COVID-19 patient is received efficiently and reliably. Finding the optimum location of the Radio Frequency Identifier (RFID) reader relevant to the base station results in the reliable transmission of data. The proposed deep learning model, developed using the one-dimensional convolutional neural network and a fully connected network, resulted in lower mean absolute squared errors when compared to state-of-the-art regression benchmarks. The proposed model based on Lagrange optimization and deep learning algorithms is evaluated when changing different network parameters, such as requiring signal-to-interference-plus-noise-ratio, reader transmission power, and the required system quality-of-service. The analysis of the obtained results, which indicates the appropriate transmission distance between an RFID reader and a base station, shows the effectiveness and the accuracy of the proposed approach, which leads to an easy and efficient tracking system.

Sistem Informasi Absensi Dan Penggajian Dengan Memanfaatkan RFID Reader (Studi Kasus : PT. Usaha Mandiri Eksportama)

Information technology is not only expected to be a supporting device and facilitate the company's operational activities, but has become part of the strategy in maintaining employee performance. PT. Usaha Mandiri Exporttama is a company engaged in assembling and manufacturing gas stoves for export destinations with a total of ± 150 employees. Having problems in terms of: (1) Efficiency, (2) Data Accuracy, (3) Timeliness, (4) Data Search, (5) Data Calculation. Seeing the weaknesses in the company, researchers designed a web-based attendance and payroll information system using the PHP programming language and MySQL database. The Rfid Reader and Card/Tag tools were selected to facilitate employee attendance in large numbers. The Information System will immediately record as soon as the card is attached to the Rfid Reader. In this study, researchers used the research method of the Borg and Gall (1987) model from 10 steps to 6 steps. The test results related to the design show the final value of the calculation is 3.0, then the system is declared valid. The validation test by system experts related to usage shows the final value of the calculation is 2.9, concluding that the system is very feasible to use. User Validation at PT. Usaha Mandiri Exporttama Semarang obtained the final value of the calculation is 3.5 stating that the system is feasible to use and very good. The performance test by 4 respondents of the old system and the new system with an average of 43.7% of the old work system, and 87.5% of the new work system showed that the new system was effective and efficient.

Shopping Wagon: A Smart Shopping System Using RFID for Shopping Malls

This project describes a supermarket automation trolley based on an RFID reader. The trolley is equipped with an RFID reader and an electronic hardware system to make the transaction more convenient. The RFID card, whose price is set into the reader, is used to correct those items that are above a certain number. The value of the item is added to the sales bill and shown on the LCD monitor when the item is shown in front of the reader. The trolley car is programmed in such some way that it’ll move consistent with the user command. It additionally has the supply for removing the things from the trolley car wherever price is aloof from the overall cost. The user can view their bill through IOT along with the number of items purchased and total bill amount. The user can also pay the bill using his card provided and the system will give an alert if the total amount exceeds the amount in the card. The system will also suggest the user whether the purchased product is suitable for their health condition or not through IOT app provided to the user.

A comparative study on radio frequency identification system and its various applications

<span>The radio frequency identification (RFID), is a wireless technology system that is used for identifying an individual or objects through the means of radio waves that transfer information from an electronic tag, called an RFID tag. RFID consists of two main components the interrogator and the transponder. The Interrogator, which is the RFID reader, the interrogator usually transmits and receives the signal while the transponder that is the tag, is attached to the object. In the RFID system, an RFID reader interrogates the RFID tags. This tag reader generates a radio frequency interrogation, which communicates with the tags been registered in the system. This reader likewise has a receiver that captures a reply signal generated from the tags and decodes the signal. This reply signal from the tags reflects the tag's information content. Each tag of the employee or student consists of a unique identity, identification card (ID) that is assigned to a single employee or student ID card, which is recorded, in the database of the system. This research reviews some recent designs and implementation of internet of things (IoT) attendance systems using the concept of the RFID system. The analysis found that the RFID system is a very advanced technology for an automatic attendance system in an institution, organization, or university and it provides a very higher performance and accuracy than the traditional paper-based system that the employees or students normally used to sign. The use of the RFID technology enables the institution, authorities, or management to evade attendance documents from damages such as misplacement, tear, or even got lost. A combination of the model is needed which will confirm higher security, better performance, and consistency of the system.</span>