56 research outputs found
LLM-FuncMapper: Function Identification for Interpreting Complex Clauses in Building Codes via LLM
As a vital stage of automated rule checking (ARC), rule interpretation of
regulatory texts requires considerable effort. However, interpreting regulatory
clauses with implicit properties or complex computational logic is still
challenging due to the lack of domain knowledge and limited expressibility of
conventional logic representations. Thus, LLM-FuncMapper, an approach to
identifying predefined functions needed to interpret various regulatory clauses
based on the large language model (LLM), is proposed. First, by systematically
analysis of building codes, a series of atomic functions are defined to capture
shared computational logics of implicit properties and complex constraints,
creating a database of common blocks for interpreting regulatory clauses. Then,
a prompt template with the chain of thought is developed and further enhanced
with a classification-based tuning strategy, to enable common LLMs for
effective function identification. Finally, the proposed approach is validated
with statistical analysis, experiments, and proof of concept. Statistical
analysis reveals a long-tail distribution and high expressibility of the
developed function database, with which almost 100% of computer-processible
clauses can be interpreted and represented as computer-executable codes.
Experiments show that LLM-FuncMapper achieve promising results in identifying
relevant predefined functions for rule interpretation. Further proof of concept
in automated rule interpretation also demonstrates the possibility of
LLM-FuncMapper in interpreting complex regulatory clauses. To the best of our
knowledge, this study is the first attempt to introduce LLM for understanding
and interpreting complex regulatory clauses, which may shed light on further
adoption of LLM in the construction domain
Software test and evaluation study phase I and II : survey and analysis
Issued as Final report, Project no. G-36-661 (continues G-36-636; includes A-2568
IEA WIND 2012 Annual Report
Contribution to this annual report of the IEA Wind Implementing Agreement. Here the JRC, as representative of the Commission, exposes the achievements in wind R&D supported by the Commission programmes (FP7, IEE). Subchapters 2, 3 and 4 of chapter 20 are the Commission's responsibility whereas subchapters 1 and 5 are EWEA's responsibilityJRC.F.6-Energy systems evaluatio
Automated compliance checking of digital building models regarding applicable standards and guidelines using a visual programming language
Die vorliegende Arbeit beschäftigt sich mit der Automatisierung der Konformitätsprüfungsprozesse im Bauwesen, welche sich vornehmlich auf die Einhaltung regulatorischer Anforderungen aus geltenden Normen und Richtlinien beziehen. Gegenwärtig sind diese Prozesse zeitintensiv, umständlich und fehleranfällig, da sie zumeist manuell durchgeführt werden müssen. Um diesen Herausforderungen zu begegnen, stellt die Arbeit eine visuelle Programmiersprache vor, die es Architekten und Ingenieuren ermöglicht, die Prüfprozesse zu formalisieren und zu automatisieren.The thesis deals with the automation of compliance checking processes in the construction industry, which primarily relate to compliance with regulatory requirements from applicable codes and standards. At present, these processes are time-consuming, cumbersome, and error-prone, as they mostly must be carried out manually. To meet these challenges, the thesis presents a visual programming language that enables architects and engineers to formalize and automate the checking processes
XSEDE: eXtreme Science and Engineering Discovery Environment Third Quarter 2012 Report
The Extreme Science and Engineering Discovery Environment (XSEDE) is the most advanced, powerful, and robust collection of integrated digital resources and services in the world. It is an integrated cyberinfrastructure ecosystem with singular interfaces for allocations, support, and other key services that researchers can use to interactively share computing resources, data, and expertise.This a report of project activities and highlights from the third quarter of 2012.National Science Foundation, OCI-105357
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