scholarly journals Empirical Overview of Benchmark Datasets for Geomagnetic Field-Based Indoor Positioning

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3533
Author(s):  
Imran Ashraf ◽  
Sadia Din ◽  
Soojung Hur ◽  
Gunzung Kim ◽  
Yongwan Park
Keyword(s):  
Magnetic Field ◽  
Radio Frequency Identification ◽  
Dead Reckoning ◽  
Indoor Positioning ◽  
Location Based Services ◽  
Device User ◽  
Benchmark Datasets ◽  
Frequency Identification ◽  
Pros And Cons ◽  
Selection Of

Indoor positioning and localization have been regarded as some of the most widely researched areas during the last decade. The wide proliferation of smartphones and the availability of fast-speed internet have initiated several location-based services. Concerning the importance of precise location information, many sensors are embedded into modern smartphones. Besides Wi-Fi positioning, a rich variety of technologies have been introduced or adopted for indoor positioning such as ultrawideband, infrared, radio frequency identification, Bluetooth beacons, pedestrian dead reckoning, and magnetic field, etc. However, special emphasis is put on infrastructureless approaches like Wi-Fi and magnetic field-based positioning, as they do not require additional infrastructure. Magnetic field positioning is an attractive solution for indoors; yet lack of public benchmarks and selection of suitable benchmarks are among the big challenges. While several benchmarks have been introduced over time, the selection criteria of a benchmark are not properly defined, which leads to positioning results that lack generalization. This study aims at analyzing various public benchmarks for magnetic field positioning and highlights their pros and cons for evaluation positioning algorithms. The concept of DUST (device, user, space, time) and DOWTS (dynamicity, orientation, walk, trajectory, and sensor fusion) is introduced which divides the characteristics of the magnetic field dataset into basic and advanced groups and discusses the publicly available datasets accordingly.

scholarly journals Research on Indoor Positioning Algorithm of Single Reader Based on Gated Recurrent Unit

2021 ◽  
pp. 1-10
Author(s):  
Jintao Tang ◽  
Lvqing Yang ◽  
Jiangsheng Zhao ◽  
Yishu Qiu ◽  
Yihui Deng
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Indoor Positioning ◽  
The Internet ◽  
Positioning Accuracy ◽  
Frequency Identification ◽  
The Cost ◽  
Positioning Algorithm ◽  
Gated Recurrent Unit ◽  
The Internet Of Things

With the development of the Internet of Things and Radio Frequency Identification (RFID), indoor positioning technology as an important part of positioning technology, has been attracting much attention in recent years. In order to solve the problems of low precision, high cost and signal collision between readers, a new indoor positioning algorithm based on a single RFID reader combined with a Double-order Gated Recurrent Unit (GRU) are proposed in this paper. Firstly, the reader is moved along the specified direction to collect the sequential tag data. Then, the tag’s coordinate is taken as the target value to train models and compare them with existing algorithms. Finally, the best Gated Recurrent Unit positioning model is used to estimate the position of the tags. Experiment results show that the proposed algorithm can effectively improve positioning accuracy, reduce the number of readers, cut down the cost and eliminate the collisions of reader signals.

scholarly journals Challenges of Tagging Goods in Supply Chains and a Cloud Perspective with Focus on Some Transitional Economies

2017 ◽  
Vol 29 (1) ◽  
pp. 109-120 ◽  
Author(s):  
Sanja Bauk ◽  
Mimo Draskovic ◽  
Anke Schmeink
Keyword(s):  
Supply Chains ◽  
Radio Frequency Identification ◽  
Research Work ◽  
Transitional Economies ◽  
Cloud Services ◽  
Main Hypothesis ◽  
University Professors ◽  
Frequency Identification ◽  
Transitional Environment ◽  
Pros And Cons

This paper considers some of the barriers in implementing the RFID (radio frequency identification) technology for identifying, locating, tracking and tracing goods in supply chains, along with a model for adopting cloud services that can mitigate these obstacles in the transitional environment. The analysis is based on the assessments of the implementation impediments, given by the experts in the field of logistics: university professors, assistants and entrepreneurs from three Western Balkan countries (Montenegro, Serbia, and Bosnia and Herzegovina). Since the professionals’ assessments are influenced by their experiences from the transitional economies, which are faced with limited abilities to invest in expensive business information systems, the main hypothesis is that moving the logistics into the cloud may resolve or at least alleviate the considered problems. On the basis of the available secondary literature resources on pros and cons of RFID implementation into supply chains, and the statistical analysis of the consciously completed questionnaires in the survey, the model for adopting cloud services for providing RFID-enabled goods and related activities in the considered economies is proposed at a logical level. The paper also gives some directions for further research work in this domain.

The Use of Embedded Mobile, RFID, Location Based Services, and Augmented Reality in Mobile Applications

2017 ◽  
Vol 8 (1) ◽  
pp. 42-52 ◽  
Author(s):  
Greg Gogolin ◽  
Erin Gogolin
Keyword(s):  
Augmented Reality ◽  
Mobile Device ◽  
Radio Frequency Identification ◽  
Mobile Applications ◽  
Near Field ◽  
Location Based Services ◽  
Payment Systems ◽  
Rfid Tag ◽  
Frequency Identification ◽  
Mobile Rfid

The proliferation of mobile devices such as smart phones and other handheld appliances has stimulated the development of a broad range of functionality, including medical, retail, gaming, and personal applications. Technology that has been leveraged to enable many of these uses includes embedded mobile, radio frequency identification, location based services, and augmented reality. Embedded mobile refers to preprogrammed tasks that are performed on a mobile device. Personal care and monitoring is one of the most common uses of embedded mobile. RFID involves communication between a tag and a reader. Mobile RFID extends the technology by tagging the mobile device with an RFID tag to perform tasks on the device. Near field communication is frequently utilized in mobile payment systems. Advertisers find this of significant use in focusing advertisements based on the location of an individual. Augmented reality involves the use of computer generated or enhanced sensory input such as audio and visual components to enhance the perception of reality.

Utilizing Modeling in a Reliability Study of ACA Joints in Humidity Tests

2013 ◽  
Vol 10 (1) ◽  
pp. 30-39 ◽  
Author(s):  
Kirsi Saarinen ◽  
Laura Frisk
Keyword(s):  
Radio Frequency Identification ◽  
Cost Savings ◽  
Experimental Tests ◽  
Shear Stresses ◽  
Cycling Test ◽  
Humidity Level ◽  
Anisotropic Conductive Adhesive ◽  
Frequency Identification ◽  
Identification Tags ◽  
Selection Of

Radio frequency identification tags (RFID) with anisotropic conductive adhesive (ACA) joints are used in various applications where the environmental conditions may impair their reliability. Thus the effects of different environmental stresses on reliability need to be investigated. The purpose of this work was to study whether a relatively simple shear stress model can be utilized in reliability prediction of anisotropically conductive paste (ACP) joints in an accelerated humidity test on the basis of the information obtained from another humidity test. If modeling gives accurate results when studying reliability, the need for actual testing would decrease and thereby time and cost savings could be achieved. In this study, finite element models were made to calculate shear stresses in ACP joints induced by two different humidity tests. Additionally, experimental tests were performed and the results were compared with those of modeling. The test samples were RFID tags whose microchips were attached with ACP. A constant humidity test was used to study the effects of high humidity level and a humidity cycling test was used to examine the effects of constantly varying humidity. In the modeling it was observed that the selection of the stress-free temperature has a significant effect on the results. With three different stress-free temperatures, three different sets of results were obtained. Although the tags saturated in the extreme conditions of the humidity cycling test, according to modeling, the change in relative humidity level in the humidity cycling test did not increase the harshness of the test. However, the temperature change in the humidity cycling test increased the harshness.

A framework for indoor construction resources tracking by applying wireless sensor networks1This paper is one of a selection of papers in this Special Issue on Construction Engineering and Management.

2012 ◽  
Vol 39 (9) ◽  
pp. 1083-1088 ◽  
Author(s):  
Xuesong Shen ◽  
Ming Lu
Keyword(s):  
Radio Frequency Identification ◽  
Cost Effective ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Mobile Nodes ◽  
Received Signal Strength Indicator ◽  
Construction Engineering ◽  
Global Positioning ◽  
Frequency Identification ◽  
Selection Of

The state-of-the-art tracking technologies, such as the global positioning system (GPS) and the radio frequency identification (RFID), lend themselves well to applications in relatively open areas, while falling short of accuracy and reliability in indoor or partially covered application settings due to signal blockage, distortion or deterioration. This research aims to address this challenge in construction engineering by exploring a cost-effective positioning methodology to realize automated and continuous tracking of construction resources. The emerging ZigBee-based wireless sensor networks (WSN) technology is introduced. A framework of WSN application is proposed for indoor construction resources tracking, which consists of a group of stationary and mobile sensor nodes that can communicate with one another. Real-time locations of the mobile nodes can be determined by applying the localization method based on received signal strength indicator (RSSI) and geometric trilateration.

Accurate Dead Reckoning Localization System Using RFID Phase

2014 ◽  
Vol 513-517 ◽  
pp. 3296-3299 ◽  
Author(s):  
Bo Li ◽  
Dong Wang
Keyword(s):  
Radio Frequency Identification ◽  
Indoor Environment ◽  
Indoor Localization ◽  
Dead Reckoning ◽  
Location Based Service ◽  
Rfid Tag ◽  
Whole Process ◽  
Localization Scheme ◽  
Frequency Identification ◽  
Series Of Experiments

Nowadays, the demands of Location-based Service are growing fast. It contains huge business opportunities. This paper presents an efficient indoor localization scheme using Radio-Frequency Identification technology. The major idea of our method is Dead Reckoning, a method of navigation that using the best estimates of speed and direction to calculate users' motion trace. We implemented Dead Reckoning in indoor environment by taking advantage of features of RFID. We collected RFID tag phase value to calculate the velocity of users and recalibrate users' position by using known fixed RFID reader. We designed a series of experiments to verify the feasibility of our velocity calculation method, then we simulated the whole process of our system. The results show that our system can track user's motion effectively in indoor environment. We believe this is an encouraging result, holding promise for real-world deployment.

scholarly journals Measurement system for over-the-air evaluation of UHF RFID tags quality

2016 ◽  
Vol 4 (1) ◽  
pp. 33-41 ◽  
Author(s):  
Riccardo Colella ◽  
Luca Catarinucci ◽  
Luciano Tarricone
Keyword(s):  
Radio Frequency Identification ◽  
Cost Effective ◽  
Automatic Identification ◽  
Rfid Tags ◽  
Uhf Rfid ◽  
Wireless Power ◽  
Measurement Systems ◽  
Frequency Identification ◽  
Selection Of

Radio-frequency identification (RFID) technology is a consolidated example of wireless power transfer system in which passive electromagnetic labels called tags are able to harvest electromagnetic energy from the reader antennas, power-up their internal circuitry and provide the automatic identification of objects. Being fully passive, the performance of RFID tags is strongly dependent on the context, so that the selection of the most suitable tag for the specific application becomes a key point. In this work, a cost-effective but accurate system for the over-the-air electromagnetic characterization of assembled UHF RFID tags is firstly presented and then validated through comparison with a consolidated and diffused measurement systems. Moreover, challenging use-cases demonstrating the usefulness of the proposed systems in analyzing the electromagnetic performance of label-type tags also when applied on different material or embedded into concrete structures have been carried out.

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