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Record W4220887580 · doi:10.1109/jiot.2022.3161261

A Batteryless Six-Port RFID-Based Wireless Sensor Architecture for IoT Applications

2022· article· en· W4220887580 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Internet of Things Journal · 2022
Typearticle
Languageen
FieldEngineering
TopicRFID technology advancements
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsComputer scienceWirelessResistive touchscreenDemodulationSIGNAL (programming language)Radio frequencyWireless sensor networkUltra high frequencyElectronic engineeringElectrical engineeringTelecommunicationsEngineeringComputer network

Abstract

fetched live from OpenAlex

In this article, a novel architecture for batteryless wireless sensors is proposed and demonstrated. The proposed architecture uses a six-port structure to integrate a UHF radio-frequency identification (RFID) chip with a resistive sensing element to enable the reading of environmental conditions wirelessly, without using a battery at the sensor node. The six-port structure divides an incoming RFID interrogator signal into an in-phase and quadrature branch and implements signal mixing without the use of a lossy or an active mixer. The amplitude and phase of the mixed signal are dependent on the value of the attached sensing element. By reading the phase of this signal at the reader, the value of the element can be easily determined using a noncoherent IQ demodulator. The design can easily integrate any type of resistive sensing element for parameters, such as temperature, humidity, and water level. A pin diode is used to control the amplitude and phase of the backscattered signal to demonstrate the performance. These values are successfully read at a distance of 2 m.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.537
Threshold uncertainty score0.735

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.235
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it