Related projects
Discover more projects across a range of sectors and discipline — from AI to cleantech to social innovation.
This project aims to develop and evaluate new geometric modeling algorithms of power line and building objects, which are required for conducting power-line related asset risk analysis in challenging environment considering wind blowing effects.The project also aims to integrate newly developed algorithms into York University’s in-house power line modeling test bed and evaluate their performance using GDI’s extensive inventory data. It is generally known that modeling accuracy and reliability become greatly degraded under the circumstances when intermediate or strong wind is blown on sites. The wind-adaptive modeling algorithm will enhance the precise identification of a potentially hazardous area based on PL models under challenging environments. The expected benefit to the partner can be summarized as: (a) Efficiency – eliminating the labor intensive rectification of modeling errors caused by wind effects, (b) Accuracy – more accurate clearance quantity which threaten PL systems under wind blowing conditions, (c) Productivity – enhancing the updating process of a geospatial database in challenging environments.
Dr. Gunho Sohn
Yoonseok Jwa & Heungsik Brian Kim
GeoDigital International Inc.
Engineering - other
Information and communications technologies
York University
Accelerate
Discover more projects across a range of sectors and discipline — from AI to cleantech to social innovation.
Find the perfect opportunity to put your academic skills and knowledge into practice!
Find ProjectsThe strong support from governments across Canada, international partners, universities, colleges, companies, and community organizations has enabled Mitacs to focus on the core idea that talent and partnerships power innovation — and innovation creates a better future.