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Record W2019334623 · doi:10.1145/1878537.1878728

Integrating building information modeling & cell-DEVS simulation

2010· article· en· W2019334623 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

Venuenot available
Typearticle
Languageen
FieldDecision Sciences
TopicSimulation Techniques and Applications
Canadian institutionsCarleton University
Fundersnot available
KeywordsDEVSModular designComputer scienceDiscrete event simulationBuilding information modelingSoftwareVariety (cybernetics)Systems engineeringSoftware engineeringModeling and simulationSimulationOperating systemEngineering

Abstract

fetched live from OpenAlex

We present the development of an Interactive Environment System (IES). The IES is used for simulating Cell-DEVS models built in CD++ that interact with a Building Information Modeling(BIM) system using Autodesk Revit architecture and Autodesk 3ds Max. CD++ is a modeling and simulation tool that was created to study complex systems by using a discrete event cell-based approach. It was successfully employed to define a variety of models for complex applications using a cell-based approach. The system developed has a highly modular collection of software packages designed to facilitate the creation of device independent simulation for BIM. The integration of the proposed system is investigated via the simulation of Diffusion Limited Aggregation (DLA) which represents the growth of mold in a building wall. The results affirmed the potential of the (IES) system for interactive simulation application.

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)0.001
metaresearch head score (Gemma)0.002
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.558
Threshold uncertainty score0.859

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.115
GPT teacher head0.442
Teacher spread0.327 · 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

Quick stats

Citations9
Published2010
Admission routes1
Has abstractyes

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