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The management of risks has been at the heart of most construction projects. Building Information Modelling (BIM) provides opportunities to manage risks in construction projects. However, studies about the use of BIM in risk management are sketchy with a lack of a systematic approach in using BIM for managing risk in construction projects. Based on existing risk models, this study investigated and developed a BIM-based framework for the management of construction project scheduling risk. Although, the frameworks were developed by mining risk management processes from Synchro and Vico, both being amongst leading 4D/5D BIM software systems, they can inform risk management in BIM projects that are supported by 4D/5D BIM software systems that contain risk management modules. The frameworks were validated for their syntactic and semantic correctness.

Commercially available glucose measurement device for diabetes monitoring require extracting of blood and this means there will be a physical contact with human body. Demand on non-invasive measurement has invites research and development of new detection methods to measure blood glucose level. In this work, a very sensitive optical polarimetry measurement technique using ratio-metric photon counting detection has been introduced and tested for a range of known glucose concentrations that mimic the level of glucose in human blood. The setup utilizes 785nm diode laser that emits weak coherent optical signal onto glucose concentration samples in aqueous. The result shows a linear proportional of different glucose concentration and successfully detected 10 mg/dl to 260 mg/dl glucose samples. This indicates a potential improvement method for non-invasive glucose measurement by a sensitive polarimetry based optical sensor in single photon level for biomedical applications.

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