novel “enhanced-cognition” rfid architectures on organic/paper low-cost substrates utilizing inkjet technologies

Clicks: 103
ID: 249588
2007
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Popular

Ranked #166 of 301 articles by views in american journal of physiology endocrinology and metabolism

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 301 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
The purpose of this paper is to present an overview of novel design and integration approaches for improved performance “enhanced-cognition” UHF passive and active radio frequency identification (RFID) tags. Antenna design rules are explained for a variety of applications. A strategy that is currently under development for embedding power sources and integration of sensors and integrated circuits (ICs) on low-cost organic substrates, such as liquid crystal polymer (LCP) and paper, enabling the use of inkjet-printing capability for the UHF frequency band, is discussed in the paper. The proposed technologies could potentially revolutionize RFID tags allowing for integrated sensing capabilities for various applications such as security, military, logistics, automotion, and pharmaceutics.
Reference Key
yang2007internationalnovel Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Li Yang;Amin Rida;Rushi Vyas;Manos M. Tentzeris
Journal american journal of physiology endocrinology and metabolism
Year 2007
DOI
10.1155/2007/68385
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.