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There is an increased need for tracking building component information through its lifecycle(s) in order to reduce risk and uncertainty for reuse. Existing literature for material tracking focuses primarily on RFID for location tracking on equipment. However, Quick Response (QR) codes were used in this case study because of the low cost, speed of implementation, and accessibility. QR codes were applied to the structural wooden members through laser engraving. This proof of concept analyzes the challenges and advantages associated with using QR codes as the chosen tracking technology as well as engraving them as a permanent fixture., ISSN:2684-1150, Proceedings of the 2022 European Conference on Computing in Construction, ISBN:978-88-7590-226-1

The reuse of building materials requires both broad-ranging and detailed information on available building stocks in order to effectively plan for connecting available materials with their eventual reuse in new buildings. Critical information includes component counts, dimensions, and on-site locations. Currently, this information is usually gathered using manual measurements, though contemporary digitization and scanning technology can be used to efficiently gather dimensional and geometric data about pre-demolition sites. The primary digital technologies to automate this data gathering, being photogrammetry and terrestrial Light Detection and Ranging (LIDAR), have historically shown significant gaps in efficiency and accuracy, while their hardware and software systems are rapidly advancing in capabilities. In this study, contemporary implementations of these methods are compared for their efficiency, interior coverage, and raw accuracy across two case studies with significant geometric differences. These results inform decision-making regarding the appropriate integration of these technologies in industry and identify technologies that require more development for effective use., Proceedings of IASS Annual Symposia, 2022, ISSN:2518-6582, Proceedings of the IASS/APCS 2022 Beijing Symposium: Sustainable Heritage Challenges and Strategies in the Preservation and Conservation of 20th Century Historic Concrete Shells

Effective control of emerging cyberphysical systems such as smart transportation, smart health-care, etc. requires edge computing infrastructure that is often organized into three layers, namely edge (IoT) devices, edge controllers (ECs) and the cloud. In large infrastructures, ECs must be deployed densely in the proximity of edge devices and need to satisfy strict constraints on cost, size, cooling, etc. Thus, ECs cannot host large amounts of local storage and instead must make use of cloud storage in the background to provide an impression of large, fast local storage to host the IoT device data needed for online and real-time queries. In this paper, we provide insights into the configuration issues of such an edge storage infrastructure (ESI) based on the evaluation of commercial ESIs on several real-world edge computing workloads. We also show that the current ESI designs are lacking in several respects, and suggest some approaches for enhancing their capabilities to meet the stringent requirements of emerging edge computing applications.