scispace - formally typeset
T

T.C. Lukins

Researcher at Heriot-Watt University

Publications -  24
Citations -  479

T.C. Lukins is an academic researcher from Heriot-Watt University. The author has contributed to research in topics: Project management & Work in process. The author has an hindex of 7, co-authored 24 publications receiving 407 citations. Previous affiliations of T.C. Lukins include University of Edinburgh & University of Aberdeen.

Papers
More filters
Journal ArticleDOI

Towards automated progress assessment of workpackage components in construction projects using computer vision

TL;DR: A system that employs computer vision techniques to report on the progress of these work packages automatically by analysing sequences of digital images acquired regularly by on-site cameras is proposed, allowing a project to be monitored more effectively.
Journal ArticleDOI

Automating progress measurement of construction projects

TL;DR: In this article, an integrated building information system that aims to determine the progress of construction from digital images captured on site in order to semi-automate the work in progress measurement and calculation of interim payments as well as function as an early warning system of potential delays.
Journal ArticleDOI

Analysis of Individual Mouse Activity in Group Housed Animals of Different Inbred Strains using a Novel Automated Home Cage Analysis System.

TL;DR: It is demonstrated that the system accurately reports individual locomotor behavior within the group and that the measurements taken can provide unique insights into the effects of genetic background on individual and group behavior not previously recognized.
Journal ArticleDOI

Automated recording of home cage activity and temperature of individual rats housed in social groups: The Rodent Big Brother project

TL;DR: A subcutaneous radiofrequency identification transponder is used to measure ambulatory activity and temperature of individual rats when group-housed in conventional, rack-mounted home cages to demonstrate its ability to reliably detect naturally occurring behavioral effects, extending beyond the capabilities of routine observational tests and conventional monitoring equipment.
Proceedings ArticleDOI

Towards Automated Visual Assessment of Progress in Construction Projects

TL;DR: A first prototype system capable of detecting changes on a building site observed by a fixed camera, and classifying such changes as either actual structural events, or as unrelated is presented.