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Record W4407361743 · doi:10.23919/emc.2002.10879929

Simulation and Analysis of a Lighting Strikes to GSM Base Transmission Station Tower

2002· article· en· W4407361743 on OpenAlexaff
Srete Nikolovski, Hrvoje Glavaš, Simon Fortin

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Measurement and Detection Methods
Canadian institutionsSafe Engineering Services & Technologies (Canada)
Fundersnot available
KeywordsTowerGSMBase stationComputer scienceTransmission (telecommunications)Transmission towerBase (topology)TelecommunicationsCellular radioElectrical engineeringEngineeringCivil engineering

Abstract

fetched live from OpenAlex

In this paper, a lighting strikes to a GSM Base Transmission Station (BTS) has been simulated in order to get the time domain response of the system. This is needed for checking and finding appropriate surge limiter for the protection of the BTS electronic equipment. A Field theory approach is used. First, a frequency domain analysis is performed using the HIFREQ (High Frequency) and FFTSES (Fourier Transformation) modules of the CDEGS (Current Distribution Electromagnetic Interference Grounding and Soil Structure Analysis) software package. Then, the time domain response of the system is analysed using an inverse FFT. Some typical lighting strike currents are simulated at the top of the tower, looking for the time domain response at the point of connection of the surge limiter and associated grounding system.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.046
GPT teacher head0.299
Teacher spread0.253 · 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 designSimulation or modeling
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

Citations1
Published2002
Admission routes1
Has abstractyes

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