Machine Learning-based Extraction of Logic Rule Components from Building Design Requirements and Application to Design Rule-Checking Apps

2020 ◽  
Vol 25 (4) ◽  
pp. 425-433
Author(s):  
Jinsung Kim ◽  
Jaeyeol Song ◽  
Jin-Kook Lee
Keyword(s):  
Machine Learning ◽  
Building Design ◽  
Design Rule ◽  
Rule Checking ◽  
Design Rule Checking ◽  
Design Requirements ◽  
Logic Rule

scholarly journals Deep learning-based extraction of predicate-argument structure (PAS) in building design rule sentences☆

2020 ◽  
Vol 7 (5) ◽  
pp. 563-576
Author(s):  
Jaeyeol Song ◽  
Jin-Kook Lee ◽  
Jungsik Choi ◽  
Inhan Kim
Keyword(s):  
Deep Learning ◽  
Natural Language ◽  
Argument Structure ◽  
Building Design ◽  
Information Modeling ◽  
Design Rule ◽  
Rule Checking ◽  
Design Rule Checking ◽  
Design Requirements ◽  
Predicate Argument Structure

Abstract This paper describes an approach to extracting a predicate-argument structure (PAS) in building design rule sentences using natural language processing (NLP) and deep learning models. For the computer to reason about the compliance of building design, design rules represented by natural language must be converted into a computer-readable format. The rule interpretation and translation processes are challenging tasks because of the vagueness and ambiguity of natural language. Many studies have proposed approaches to address this problem, but most of these are dependent on manual tasks, which is the bottleneck to expanding the scope of design rule checking to design requirements from various documents. In this paper, we apply deep learning-based NLP techniques for translating design rule sentences into a computer-readable data structure. To apply deep learning-based NLP techniques to the rule interpretation process, we identified the semantic role elements of building design requirements and defined a PAS for design rule checking. Using a bidirectional long short-term memory model with a conditional random field layer, the computer can intelligently analyze constituents of building design rule sentences and automatically extract the logical elements. The proposed approach contributes to broadening the scope of building information modeling-enabled rule checking to any natural language-based design requirements.

РАЗРАБОТКА ПРОТОТИПА ПРОГРАММНОГО МОДУЛЯ АВТОМАТИЗИРОВАННОЙ ГЕНЕРАЦИИ КВАЛИФИКАЦИОННЫХ ЯЧЕЕК ДЛЯ КОНТРОЛЯ ПРАВИЛ ПРОЕКТИРОВАНИЯ ИС

2020 ◽  
Vol 96 (3s) ◽  
pp. 721-725
Author(s):  
Ф.С. Золотухин ◽  
А.С. Надин ◽  
И.Е. Трифанихина
Keyword(s):  
Industrial Design ◽  
Automated Design ◽  
Design Rule ◽  
Software Module ◽  
The Real ◽  
Rule Checking ◽  
Design Rule Checking

Разработан прототип программного модуля генератора квалификационных ячеек для автоматизированного контроля геометрических правил проектирования DRC. Проведено тестирование прототипа генератора в реальных рабочих условиях проектирования. The paper presents a prototype of software module of the QA-cells Generator for automated Design Rule Checking. The QA-Cells Generator has been tested in the real workplace within actual microelectronic industrial design.

scholarly journals Design Rule Checking with a CNN Based Feature Extractor

2020 ◽  
Author(s):  
Luis Francisco ◽  
Tanmay Lagare ◽  
Arpit Jain ◽  
Somal Chaudhary ◽  
Madhura Kulkarni ◽  
...  
Keyword(s):  
Design Rule ◽  
Rule Checking ◽  
Feature Extractor ◽  
Design Rule Checking

Design Rule Checking

2018 ◽  
pp. 17-1-17-12
Author(s):  
Robert Todd ◽  
Laurence Grodd ◽  
Katherine Fetty
Keyword(s):  
Design Rule ◽  
Rule Checking ◽  
Design Rule Checking

Design Rule Checking

2016 ◽  
pp. 503-517
Author(s):  
Robert Todd ◽  
Laurence Grodd ◽  
Jimmy Tomblin ◽  
Katherine Fetty ◽  
Daniel Liddell
Keyword(s):  
Design Rule ◽  
Rule Checking ◽  
Design Rule Checking

An algorithm for design rule checking on a multiprocessor

1985 ◽  
Author(s):  
George E. Bier ◽  
Andrew R. Pleszkun
Keyword(s):  
Design Rule ◽  
Rule Checking ◽  
Design Rule Checking

New algorithms for increased efficiency in hierarchical design rule checking

Integration ◽  
1987 ◽  
Vol 5 (3-4) ◽  
pp. 319-336 ◽  
Author(s):  
Nils Hedenstierna ◽  
Kjell O. Jeppson
Keyword(s):  
Design Rule ◽  
Hierarchical Design ◽  
Rule Checking ◽  
Design Rule Checking ◽  
New Algorithms
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