REWRITING OF DESIGN CODE WITH CONTROLLED NATURAL LANGUAGE TO ASSIST INFORMATION EXTRACTION
Published In: 8TH INTERNATIONAL CONFERENCE ON ADVANCES IN CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING
Author(s): BING WU , FULIN LI , RUOXIN XIONG , YUANBIN SONG
Abstract: Regulatory compliance checking is crucial for power grid designs with respect to their safe operation.Traditional design checking depends greatly on the knowledge and experiences of human expert, and accordingly the manual checking is often tedious, time consuming and error prone.Recently, the application of Natural Language Processing (NLP) approach to extract information from design codes written in English leads to promising results. Unfortunately, the robustness of NLP-based information extraction approach should be furthered in order to analyze the textual codes written in Chinese. In this regard, GIM-CNL is developed as a controlled language for rewriting Chinese design code for power grid infrastructures. This study explores the difficulties in understanding design code written in Chinese. The framework of the GIM-CNL and the associated ontology of power grid engineering is also developed. Finally, an example of information extraction from the design codes is studied to demonstr
- Publication Date: 13-Jan-2019
- DOI: 10.15224/978-1-63248-166-5-05
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A SIMPLE SEQUENTIAL DATA PROTOCOL FOR IOT APPLICATIONS
Published In: 2ND INTERNATIONAL E-CONFERENCE ON ENGINEERING, TECHNOLOGY AND MANAGEMENT
Author(s): IVAN MAURITS , DEJANA HERCEG
Abstract: We present a simple sequential data protocol (SSDP) - an implementation of a lightweight message encoding and exchange protocol for Arduino-based sensor devices. The protocol supports simple data types, strings and binary arrays with low overhead. It defines several types of messages used to discover device metadata, send and receive sensor reading values and runtime parameter values, as well as alarms. The SSDP Arduino library is simple and has a low memory footprint. In conjunction with mesh networking, SSDP can be used to quickly and efficiently build sensor networks based on inexpensive Arduino hardware.
- Publication Date: 26-Jul-2020
- DOI: 10.15224/978-1-63248-189-4-10
- Views: 0
- Downloads: 0