The Optimization for Hyperbolic Positioning of UHF Passive RFID Tags

Ma, Haishu; Wang, Yi; Wang, Kesheng; Ma, Ziji

doi:10.1109/tase.2017.2656947

Cited by 45 publications

(15 citation statements)

References 30 publications

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“…In recent years, radio frequency identification (RFID) systems have been widely used in logistics tracking, warehouse management, mobile healthcare and other fields, and employing RFID to manage warehouse inventory has attracted increasingly attention [1][2][3]. For example, it has been widely used in supply chain management and in enabling automatic identification and tracking of goods [4]. AuRoSS [5] implements the automatic scanning of bookshelves by combining RFID and robot technology.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Management of Chemical Warehouses with RFID Systems

Zhao

Xue

2019

Sensors

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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.

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Section: Introductionmentioning

confidence: 99%

Intelligent Management of Chemical Warehouses with RFID Systems

Zhao

Xue

2019

Sensors

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“…The use of RFID chips [10] is one such technological approach. These devices are inexpensive and can be used to obtain the positional information of the object to which they are attached.…”

Section: Introductionmentioning

confidence: 99%

“…However, the accuracy of locations given by RFID chips is dependent on the number of sensors in an environment-despite the relatively low cost of the chips, the large number of sensors needed for accurate readings can be expensive. Also, the addition of more sensors requires the system to spend more time compiling the positional information for each RFID chip detected [10]. The same trade-off between expense and accuracy is also present for similar technologies using electromagnetic frequencies, such as wi-fi [11].…”

Section: Introductionmentioning

confidence: 99%

“…However, this technology requires a clear line of sight between the camera and the fiducials. Like other location sensing technologies [10,12,13], obstructions around the interface can cause inaccurate results.…”

Section: Introductionmentioning

confidence: 99%

“…For example, a number of technology-based location sensing techniques discussed [10,[12][13][14] will produce inaccurate positional information if obstruction of their sensing components occurs. This is undesirable in any scenarios where obstruction may frequently occur.…”

Section: Introductionmentioning

confidence: 99%

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Determining device position through minimal user input

McNaughton

Crick

Hatch

2017

Hum. Cent. Comput. Inf. Sci.

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IntroductionDirect-touch interfaces provide an effective digital medium in which people can collaborate on a broad range of tasks [1]. Previous research regarding collaboration on direct-touch interfaces has generally focused on the collaboration between multiple participants across a single interface [2][3][4]. However, when multiple interfaces capable of interacting with each other are used, an opportunity arises for collaboration between users interacting with different interfaces; this use of multiple interface types in a shared environment can be beneficial for collaboration [5,6].The physical locations of interfaces can be used to aid tasks involving interaction between networked devices. One example of this is demonstrated in the SynergyNet project, a software framework built for use on direct-touch interfaces, specifically multitouch tabletops, which allows users to perform a flicking gesture to transfer content [7]. Users flick a content item in the direction of the interface to which they wish to send content; the item travels off the side of the source interface and appears on the target interface. When the item arrives on the target interface, the framework can use its knowledge of the interface locations to ensure the item travels into view from the direction of the source interface. This is intended to aid users in identifying from where newly arrived content items were sent. AbstractIn many co-located, collaborative systems there is a need for the constituent devices used to be aware of the physical positions of their networked counterparts. This paper addresses this challenge by presenting a novel method of utilising users' judgement of direction to obtain the location and orientation of a touch interface. The technique requires a user to draw several arrows on an interface which point towards physical landmarks in an environment. This allows for the setup of interface locations in a way which is (i) quick; (ii) inexpensive; (iii) not encumbering; and (iv) capable of being performed despite obstructions in the environment. A user study is presented which investigates what influence a user's accuracy has on the technique's resulting calculated location of an interface. The study reveals that the magnitude of a user's inaccuracies is proportional to the size of the error in the result and that there is no improvement in user accuracy with practice. Finally, we make observations on the future extension and application of this technique. McNaughton et al. Hum. Cent. Comput. Inf. Sci. (2017) Hum. Cent. Comput. Inf. Sci. (2017) 7:37 Projects such as SynergyNet showcase the need for an interface to have knowledge of its location relative to networked interfaces surrounding it. Another example of the benefits of an interface knowing its location originates from a system which uses multiple projectors where projected outputs overlap. The outputs are seamlessly stitched together by the system to give the appearance of a single projection. In order for this to be achieved the system must have informa...

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