MétaCan
Menu
Back to cohort

Design and Implementation of a Near-End Communication System using Quarter wave Technique

2024· article· en· W4393405826 on OpenAlexaboutno aff
Vidyasagar Dandetikar, Nithin Reddy Erla, Sravani Reddy Kistapati, Vikas Maheshwari

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Photonic Communication Systems
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Computer scienceTelecommunicationsElectrical engineeringEngineeringGeography

Abstract

fetched live from OpenAlex

The following paper describes a reliable and power efficient technique for communication between two short-range devices over wired or wireless networks, using a self-designed transmitter and receiver system modules. A fast and lossless Device to device communication (D2DC) is essential in the development of different electronic systems. In the present days, data transmission techniques are inefficient as they require an adequately large amount of time for transmission and reception. This paper presents a simple lossless technique for transmission and reception of data across wired systems or low range wireless systems by dividing the analog wave signal into four parts. The proposed technique is similar to QPSK as they both transmit encoded bits of data. The paper also describes the design of a communication system using the proposed Quarter wave communication technique that uses less power and has minimum data transmission and acquisition time.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

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 communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.002

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 head0.032
GPT teacher head0.302
Teacher spread0.270 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same topicAdvanced Photonic Communication SystemsFrench-language works237,207