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Record W2359349409

The Application of Abstract Syntax Notation One in TD-SCDMA

2008· article· en· W2359349409 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.

Bibliographic record

VenueShanxi Electronic Technology · 2008
Typearticle
Languageen
FieldEngineering
TopicPower Systems and Technologies
Canadian institutionsL'Alliance Boviteq
Fundersnot available
KeywordsComputer scienceTransmission (telecommunications)Coding (social sciences)NotationSyntaxEncoding (memory)Layer (electronics)GrammarTD-SCDMATheoretical computer scienceNatural language processingArtificial intelligenceTelecommunicationsLinguisticsArithmeticCode division multiple accessMathematics
DOInot available

Abstract

fetched live from OpenAlex

In the layer 3 information system of 3GPP,the layer 3 information is described with the using of ASN.1,and the various algorithms of ITU-T X.691 recommendations in the definition are used to the description of ASN.1 transformed into a transmission encoding.This would have an advantage to separate the definition of the information content and transmission grammar phase that has the definition of news independent in the transmission coding.This paper introduces the basic knowledge of ASN.1,and combines the analytical approach of RRC news to expound the applications of ASN.1 in the TD-SCDMA.

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: Empirical
Teacher disagreement score0.494
Threshold uncertainty score0.371

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.005
GPT teacher head0.194
Teacher spread0.189 · 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