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Record W2097477280 · doi:10.1145/1454630.1454658

RealMobiSim

2008· article· en· W2097477280 on OpenAlexaff
Alex Aravind, Tahir Hassan, Baldeep

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicOpportunistic and Delay-Tolerant Networks
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsCredibilityComputer scienceComponent (thermodynamics)Interpretation (philosophy)Field (mathematics)Generator (circuit theory)Mobility modelMobile computingSimulation softwareDistributed computingSoftwareHuman–computer interactionComputer networkOperating systemProgramming language

Abstract

fetched live from OpenAlex

Simulation is extremely crucial and often the only way for conducting research in complex system like mobile computing. In a recent study, it is observed that the credibility of the simulation results in the field has decreased while the use of simulation has steadily increased. Part of this credibility crisis is related to the simulation of mobility of the nodes in the system. It is not surprising to see that mobility has such a fundamental influence on the behavior of mobile systems. Therefore, a clear knowledge about mobility used in the system is not only helpful but also essential for the understanding and interpretation of the system behavior under study. Proper knowledge about the mobility of the nodes in the system can be better obtained by having a tool or a component that is independent and interactive to specify, visualize, analyze, and then generate mobility traces for the simulation. We have developed such a mobility generator software called RealMobiSim. In this note we propose to demonstrate RealMobiSim to the 2008 MSWiM attendees.

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 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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.950
Threshold uncertainty score0.333

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 science0.0000.000
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 head0.033
GPT teacher head0.214
Teacher spread0.181 · 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 teacher head, 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

Citations5
Published2008
Admission routes1
Has abstractyes

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