Engineering Commons^™

Persuasive Systems Design Features In Promoting Medication Management For Consumers, Khin Than Win, Judy Mullan, Sarah Katherine Howard, Harri Oinas-Kukkonen

Faculty of Engineering and Information Sciences - Papers: Part B

Medication safety continues to be a growing concern in the healthcare industry. Providing medication information to consumers and supporting self- management would help to reduce medication errors and to increase medication adherence. This paper reviews the persuasive systems design features used in current medication management applications for consumers. A database search was conducted to identify relevant articles, which were then reviewed using the Persuasive Systems Design model as a framework for analysis. The results highlighted the applicability of these features for the medication management information systems available to consumers. Primary task support and Dialogue support categories were highly cited in …

Ventilative Cooling Through Automated Window Opening Control Systems To Address Thermal Discomfort Risk During The Summer Period: Framework, Simulation And Parametric Analysis, Theofanis Psomas, Massimo Fiorentini, Georgios Kokogiannakis, Per K. Heiselberg

Faculty of Engineering and Information Sciences - Papers: Part B

Automated window opening control systems with integrated ventilative cooling strategies may significantly diminish the thermal discomfort and overheating risk of dwellings during cooling periods in temperate climates. One of the challenges with demonstrating the benefits of the systems is the lack of building performance simulation (BPS) tools which may represent precisely how actual algorithms are applied.

The study supported herein aims to present a framework of how to simulate an advanced ventilative cooling algorithm of a window system on coupled BPS environments (ESP-r and BCVTB tools). Parametric analysis has been conducted to verify specific operational functions of the system. The …

Predicting The Motions And Forces Of Wearable Robotic Systems Using Optimal Control, Matthew Millard, Manish Sreenivasa, Katja Mombaur

Faculty of Engineering and Information Sciences - Papers: Part B

Wearable robotic systems are being developed to prevent injury to the low back. Designing a wearable robotic system is challenging because it is difficult to predict how the exoskeleton will affect the movement of the wearer. To aid the design of exoskeletons, we formulate and numerically solve an optimal control problem (OCP) to predict the movements and forces of a person as they lift a 15 kg box from the ground both without (human-only OCP) and with (with-exo OCP) the aid of an exoskeleton. We model the human body as a sagittal-plane multibody system that is actuated by agonist and …

Proposed Amendment To Iec/Tr 61000.3.6:2008 For Harmonic Allocation To Loads In Transmission Systems, Tuan Vu, Duane A. Robinson, Victor J. Gosbell, Sarath Perera, Rizah Memisevic

Faculty of Engineering and Information Sciences - Papers: Part B

Ensuring harmonic voltage distortion levels in transmission systems remain below acceptable levels relies on appropriate allocations of emissions to customer loads and bulk supply points. A number of practical issues have been identified with the existing harmonic allocation method for transmission systems in the technical report IEC/TR 61000-3-6:2008, Ed.2: the method to assess the total available power of a busbar, a key component to harmonic allocations, is not intuitive and there is a lack of clarity in the report; the method for sharing planning levels also does not allow unused spare capacity at a busbar to be shared with other …

Threat Models For Analyzing Plausible Deniability Of Deniable File Systems, Michal Kedziora, Yang-Wai Chow, Willy Susilo

Faculty of Engineering and Information Sciences - Papers: Part B

Plausible deniability is a property of Deniable File System (DFS), which are encrypted using a Plausibly Deniable Encryption (PDE) scheme, where one cannot prove the existence of a hidden file system within it. This paper investigates widely used security models that are commonly employed for analyzing DFSs. We contend that these models are no longer adequate considering the changing technological landscape that now encompass platforms like mobile and cloud computing as a part of everyday life. This necessitates a shift in digital forensic analysis paradigms, as new forensic models are required to detect and analyze DFSs. As such, it is …