RFID Positioning and Physiological Signals for Remote Medical Care

Sung, Wen‐Tsai; Hsiao, Sung-Jung

doi:10.32604/csse.2022.020453

Cited by 7 publications

(3 citation statements)

References 29 publications

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“…RFID is a common way to identify a particular material among its variety. RFID (Radio Frequency Identification) is a method of automatic identification of objects in which data is read or written using radio signals stored in so-called transponders, or RFID sensors (Alburaki et al, 2021;Sharif et al, 2021a;Sung & Hsiao, 2022). RFID tags are attached to any surface and work in extreme conditions: shock, vibration, bad weather; readers recognize objects through dirt, snow, and cardboard.…”

Section: Resultsmentioning

confidence: 99%

Accounting For Inventories Of Rubber Production Using Radio Frequency Identification

Efremkin¹

2022

The European Proceedings of Social and Behavioural Sciences

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The article presents the modeling of a digital passport per unit of manufactured products (rubber sleeve) to improve the efficiency of inventory accounting. The main ways of keeping records of inventory items in production are outlined. In the paper, accounting for material and technical values is determined on the basis of the batch method since the varietal method is not suitable due to a large number of manufacturers of the same rubber grade. This leads to an increase in the information base, and, as a result, to the complication of finding information for a particular formulation. The problem of identifying a specific batch of raw materials for the production of a rubber sleeve is defined. The use of barcoding and radio frequency identification as a means to obtain information for inventory accounting is presented. The advantages and disadvantages of each of the methods are revealed. The development of a digital passport model at the stage of receipt of inventory items at the warehouse and their transfer to the primary shop is described.

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Section: Resultsmentioning

confidence: 99%

Accounting For Inventories Of Rubber Production Using Radio Frequency Identification

Efremkin¹

2022

The European Proceedings of Social and Behavioural Sciences

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“…As the number of tags in RFID system may reach thousands to tens of thousands and all tags share the same communication channel, tag collisions easily happen which increases the collision time slot and identification time. How to quickly identify a large number of tags is a big challenge for RFID system [22][23][24][25][26][27].…”

Section: Preliminaries: Bit Tracking and Id Querymentioning

confidence: 99%

A Dynamic Multi-ary Query Tree Protocol for Passive RFID Anti-collision

Li¹,

Sun²,

Li³

et al. 2022

Computers, Materials &Amp; Continua

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In this paper, a dynamic multi-ary query tree (DMQT) anti-collision protocol for Radio Frequency Identification (RFID) systems is proposed for large scale passive RFID tag identification. The proposed DMQT protocol is based on an iterative process between the reader and tags which identifies the position of collision bits through map commands and dynamically encodes them to optimize slots allocation through query commands. In this way, the DMQT completely eliminates empty slots and greatly reduces collision slots, which in turn reduces the identification time and energy costs. In addition and differently to other known protocols, the DMQT does not need to estimate the number of tags, reducing the protocol implementation complexity and eliminating the uncertainty caused by the estimation algorithm. A numerical analysis shows that DMQT has better performance than other algorithms for a number of tags larger than 300. Meanwhile, when the number of tags is 2000 and the tag identity (ID) length is 128 bits, the total identification time is 2.58 s and the average energy cost for a tag identification is 1.2 mJ, which are 16.9% and 10.4% less than those of state-of-the-art algorithms, respectively. In addition, a DMQT extension based on ACK command has also been presented to deal with capture effect and avoid missing identification.

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“…Jiang et al [16] proposed land cover classification and its impact on Peshawar's land surface temperature using remote sensing. Sung et al [17] proposed research on the crowdsourcing price game model in crowdsensing. Zhou et al [18] proposed using Radio Frequency Identification (RFID) positioning and physiological signals for remote medical care.…”

Section: Introductionmentioning

confidence: 99%

A Lightweight Model of VGG-U-Net for Remote Sensing Image Classification

Ye¹,

Ji²,

Tianye³

et al. 2022

Computers, Materials &Amp; Continua

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Remote sensing image analysis is a basic and practical research hotspot in remote sensing science. Remote sensing images contain abundant ground object information and it can be used in urban planning, agricultural monitoring, ecological services, geological exploration and other aspects. In this paper, we propose a lightweight model combining vgg-16 and u-net network. By combining two convolutional neural networks, we classify scenes of remote sensing images. While ensuring the accuracy of the model, try to reduce the memory of the model. According to the experimental results of this paper, we have improved the accuracy of the model to 98%. The memory size of the model is 3.4 MB. At the same time, The classification and convergence speed of the model are greatly improved. We simultaneously take the remote sensing scene image of 64 × 64 as input into the designed model. As the accuracy of the model is 97%, it is proved that the model designed in this paper is also suitable for remote sensing images with few target feature points and low accuracy. Therefore, the model has a good application prospect in the classification of remote sensing images with few target feature points and low pixels.

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RFID Positioning and Physiological Signals for Remote Medical Care

Cited by 7 publications

References 29 publications

Accounting For Inventories Of Rubber Production Using Radio Frequency Identification

Accounting For Inventories Of Rubber Production Using Radio Frequency Identification

A Dynamic Multi-ary Query Tree Protocol for Passive RFID Anti-collision

A Lightweight Model of VGG-U-Net for Remote Sensing Image Classification

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