scholarly journals Intelligent Management of Chemical Warehouses with RFID Systems

Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 123 ◽  
Author(s):  
Jumin Zhao ◽  
Fangfang Xue ◽  
Deng-ao Li
Keyword(s):  
Radio Frequency Identification ◽  
Intelligent System ◽  
Phase Curve ◽  
Detection Accuracy ◽  
Rfid Technology ◽  
Rfid Systems ◽  
Insufficient Amount ◽  
Human Management ◽  
Intelligent Management ◽  
Rf Detector

At present, most chemical warehouses rely on human management, which is a time-consuming and laborious process. Therefore, it is very meaningful to use radio frequency identification (RFID) systems for the intelligent management of chemicals. Detecting the remaining amount of chemicals is an important process in the management of a chemical warehouse. It helps managers find the chemicals that are going to run out and replenish them in time. However, in a traditional chemical warehouse, managers usually inspect each chemical on the shelf in turn manually, which is a waste of time and labor. Although some solutions using RFID technology have been proposed, they are expensive and difficult to deploy in a real environment. In order to solve this problem, we propose an intelligent system called the RF-Detector in this paper, which combines robotics and RFID technology. An RFID reader and an antenna are installed on the robot, which achieves automatic scanning of the chemicals. The RF-Detector can achieve two functions: One function is to detect the remaining amount of chemicals using the changes in received signal strength indication (RSSI) and read rate, and the other is to locate chemicals using the phase curve, so that managers can quickly find the chemicals with an insufficient amount remaining. In this paper we implement the RF-Detector and evaluate its performance. The experimental results show that the RF-Detector achieves about 93% detection accuracy and 92% positioning accuracy for chemicals.

scholarly journals Reader Scheduling for Tag Population Estimation in Multicategory and Multireader RFID Systems

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Zhiyong He
Keyword(s):  
Radio Frequency Identification ◽  
Large Scale ◽  
Rfid Tags ◽  
Rfid Technology ◽  
Rfid Systems ◽  
Estimation Scheme ◽  
Scheduling Method ◽  
Frequency Identification ◽  
Coloring Graph ◽  
Monitoring Area

Radio Frequency Identification (RFID) technology has been used in numerous applications, e.g., supply chain management and inventory control. This paper focuses on the practically important problem of the rapid estimation of the number of tags in large-scale RFID systems with multiple readers and multicategory RFID tags. RFID readers are often static and have to be deployed strategically after careful planning to cover the entire monitoring area, but reader-to-reader collision (R2Rc) remains a problem. R2Rc decreases the reliability of the estimation of the tag population size, because it results in the failure of communication between the reader and tags. In this paper, we propose a coloring graph-based estimation scheme (CGE), which is the first estimation framework designed for multireader and multicategory RFID systems to determine the distribution of tags in different categories. CGE allows for the use of any estimation protocol to determine the number of tags, prevents R2Rc, and results in higher time efficiency and less power-consumption than the classic scheduling method DCS.

Framework for Testing Critical Technology Systems’ Reliability in Space

2018 ◽  
Vol 2 (12) ◽  
Author(s):  
Gnanesswaran Vettrivel
Keyword(s):  
Radio Frequency ◽  
Inventory Control ◽  
Inventory Management ◽  
Radio Frequency Identification ◽  
Rfid Technology ◽  
Automatic Data ◽  
Rfid Systems ◽  
Critical Technology ◽  
Data Capturing ◽  
Frequency Identification

Radio frequency identification (RFID) system is an automatic data capturing system that relies on remotely retrieving data stored on tags using devices called readers. The National Aeronautics and Space Administration (NASA) and a team of contractors, university researchers and technology vendors collaborated to investigate the reliability of RFID systems for automated crew-free inventory control aboard the ISS. In this manuscript we detail the decade long research accomplishments and the maturity of this RFID technology that is being currently used in Space for inventory management.

Framework for Testing Critical Technology Systems’ Reliability in Space

2018 ◽  
Vol 1 (03) ◽  
Author(s):  
Vettrivel Gnaneswaran
Keyword(s):  
Radio Frequency ◽  
Inventory Control ◽  
Inventory Management ◽  
Radio Frequency Identification ◽  
Rfid Technology ◽  
Automatic Data ◽  
Rfid Systems ◽  
Critical Technology ◽  
Data Capturing ◽  
Frequency Identification

Radio frequency identification (RFID) system is an automatic data capturing system that relies on remotely retrieving data stored on tags using devices called readers. The National Aeronautics and Space Administration (NASA) and a team of contractors, university researchers and technology vendors collaborated to investigate the reliability of RFID systems for automated crew-free inventory control aboard the ISS. In this manuscript we detail the decade long research accomplishments and the maturity of this RFID technology that is being currently used in Space for inventory management.

scholarly journals Simulation of Implementing RFID in Supply Chain Management

2012 ◽  
pp. 216-218
Author(s):  
Jaspal Singh
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Rfid Technology ◽  
Chain Management ◽  
Rfid Systems ◽  
Frequency Identification

This paper discusses the implementation of Radio Frequency Identification (RFID) in Supply Chain Management (SCM) to control inventory, tracking of object, supply chain management in warehouses, stores, etc. and benefits of RFID Technology. Various RFID systems can be obtained by combining different tags, readers, frequencies and levels of tagging, etc.

scholarly journals Comparison and Feasibility of Various RFID Authentication Methods Using ECC

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2902 ◽  
Author(s):  
Pagán Alexander ◽  
Rania Baashirah ◽  
Abdelshakour Abuzneid
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Security And Privacy ◽  
Rfid Tags ◽  
Rfid Technology ◽  
Rfid Security ◽  
Rfid Systems ◽  
Frequency Identification ◽  
Privacy Issues

Radio frequency identification (RFID) is a technology that has grown in popularity and in the applications of use. However, there are major issues regarding security and privacy with respect to RFID technology which have caught the interest of many researchers. There are significant challenges which must be overcome to resolve RFID security and privacy issues. One reason is the constraints attached to the provision of security and privacy in RFID systems. Along with meeting the security and privacy needs of RFID technology, solutions must be inexpensive, practical, reliable, scalable, flexible, inter-organizational, and long-lasting. To make RFID identifiers effective and efficient they must identify the item(s) while resisting attacks aimed at obtaining the tag’s information and compromising the system or making it possible to bypass the protection RFID tags are supposed to provide. Different authentication methods have been proposed, researched, and evaluated in the literature. In this work, we proposed our methodology in evaluating RFID authentication, and a few of the most promising authentication methods are reviewed, compared, and ranked in order to arrive at a possible best choice of protocol to use.

scholarly journals 5G-Compliant Authentication Protocol for RFID

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1951 ◽  
Author(s):  
Jorge Munilla ◽  
Adel Hassan ◽  
Mike Burmester
Keyword(s):  
Radio Frequency Identification ◽  
Situational Awareness ◽  
The Internet ◽  
Rfid Tags ◽  
Core Network ◽  
Rfid Technology ◽  
Enabling Technology ◽  
Rfid Systems ◽  
Internet Of Everything ◽  
Frequency Identification

The term “Internet of Things” was originally coined when radio frequency identification (RFID) technology was being developed to refer to applications where RFID tagged objects and sensors enabled computers to achieve effective situational awareness without human intervention. Currently, this term encompasses a myriad of medium/small devices connected to the Internet. On the other hand, 5G is a key enabling technology that will support next generation wireless communications. Moreover, 5G aims to realize the “Internet of Everything”. Surprisingly, despite the expected relationship between these two technologies, RFID tags have not been properly integrated into 4G and it is not clear if this will change in 5G. RFID is considered as a parallel technology where, at best, it has connection to the core network using back-end servers as gateways between the two technologies. With the aim of overcoming this problem, this paper proposes a 5G compliant RFID protocol that allows RFID tags to act as fully fledged 5G subscribers while taking into account the main characteristics of RFID systems. This proposal leverages the separation between USIM and mobile equipment within the user equipment to implement a 5G compliant protocol where tags accomplish the authentication part, as 5G subscribers, while readers assume the mobile equipment role, carrying out the 5G communication and most of the resource consuming tasks.

scholarly journals Remote Patient Monitoring Using Radio Frequency Identification (RFID) Technology and Machine Learning for Early Detection of Suicidal Behaviour in Mental Health Facilities

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 776
Author(s):  
Xiaohui Tao ◽  
Thanveer Basha Shaik ◽  
Niall Higgins ◽  
Raj Gururajan ◽  
Xujuan Zhou
Keyword(s):  
Mental Health ◽  
Machine Learning ◽  
Radio Frequency Identification ◽  
Patient Monitoring ◽  
Vital Signs ◽  
Remote Patient Monitoring ◽  
Rfid Technology ◽  
Rpm System ◽  
Frequency Identification ◽  
Remote Patient

Remote Patient Monitoring (RPM) has gained great popularity with an aim to measure vital signs and gain patient related information in clinics. RPM can be achieved with noninvasive digital technology without hindering a patient’s daily activities and can enhance the efficiency of healthcare delivery in acute clinical settings. In this study, an RPM system was built using radio frequency identification (RFID) technology for early detection of suicidal behaviour in a hospital-based mental health facility. A range of machine learning models such as Linear Regression, Decision Tree, Random Forest, and XGBoost were investigated to help determine the optimum fixed positions of RFID reader–antennas in a simulated hospital ward. Empirical experiments showed that Decision Tree had the best performance compared to Random Forest and XGBoost models. An Ensemble Learning model was also developed, took advantage of these machine learning models based on their individual performance. The research set a path to analyse dynamic moving RFID tags and builds an RPM system to help retrieve patient vital signs such as heart rate, pulse rate, respiration rate and subtle motions to make this research state-of-the-art in terms of managing acute suicidal and self-harm behaviour in a mental health ward.

scholarly journals A Model of the Environmental Burden of RFID Technology in the Slovak Republic

2021 ◽  
Vol 13 (7) ◽  
pp. 3684
Author(s):  
Bibiana Bukova ◽  
Jiri Tengler ◽  
Eva Brumercikova
Keyword(s):  
Radio Frequency Identification ◽  
Slovak Republic ◽  
Electronic Waste ◽  
Rfid Tags ◽  
Rfid Technology ◽  
Environmental Burden ◽  
The Core ◽  
Regulatory Approach ◽  
Frequency Identification ◽  
Model Household

The paper focuses on the environmental burden created by Radio Frequency Identification (RFID) tags in the Slovak Republic (SR). In order to determine the burden there, a model example was created to calculate electronic waste produced by households in the SR by placing RFID tags into municipal waste. The paper presents a legislative regulatory approach towards the environmental impacts from using RFID tags in the SR, as well as an analysis of the environmental burden of using RFID tags throughout the world. The core of the paper is focused on the research conducted in order to calculate the environmental burden of a model household in the SR, where the number of used RFID tags per year was observed; then, the volume of e-waste produced by households of the Slovak Republic per year was determined. In the conclusion, we provide the results of the research presented and discuss including our own proposal for solving the problems connected with the environmental burden of RFID technology.

Super lightweight mobile RFID authentication protocol for bit replacement operation

2020 ◽  
pp. 1-15
Author(s):  
Yubao Hou ◽  
Hua Liang ◽  
Juan liu
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Authentication Protocol ◽  
Wireless Channel ◽  
Identification System ◽  
Rfid Systems ◽  
Rfid System ◽  
Frequency Identification ◽  
Replacement Operation ◽  
Mobile Rfid

In the traditional RFID (Radio Frequency IDentification) system, a secure wired channel communication is used between the reader and the server. The newly produced mobile RFID system is different from the traditional RFID system, the communication between the reader and the server is based on a wireless channel, and the authentication protocol is suitable for traditional RFID systems, but it cannot be used in mobile RFID systems. To solve this problem, a mutual authentication protocol MSB (Most Significant Bit) for super lightweight mobile radio frequency identification system is proposed based on bit replacement operation. MSB is a bitwise operation to encrypt information and reduce the computational load of communication entities. Label, readers, and servers authenticate first and then communicate, MSB may be used to resistant to common attacks. The security analysis of the protocol shows that the protocol has high security properties, the performance analysis of the protocol shows that the protocol has the characteristics of low computational complexity, the formal analysis of the protocol based on GNY logic Gong et al. (1990) provides a rigorous reasoning proof process for the protocol.

Sign in / Sign up

Export Citation Format

Share Document