System Identification I

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Encyclopedia of Communities of Practice in Information and Knowledge Management

Off-site construction (OSC) is known as an efficient construction method that could save time and cost, reduce waste of resources, and improve the overall productivity of projects. Coupled with digital technologies associated with the Industry 4.0 concept, OSC can offer a higher rate of productivity and safety. While there is a rich literature focusing on both OSC and Industry 4.0, the implementation of associated digital technologies in the OSC context has not been fully evaluated. This paper intends to evaluate the current literature of digital technology applications in OSC. Scientometric analyses and a systematic review were carried out evaluating fifteen typical digital technologies adopted by OSC projects, including building information modelling (BIM), radio frequency identification devices (RFID), global positioning systems (GPS), the Internet of Things (IoT), geographic information systems (GIS), sensors, augmented reality (AR), virtual reality (VR), photogrammetry, laser scanning, artificial intelligence (AI), 3D printing, robotics, big data, and blockchain. This review formulates a clear picture of the current practice of these digital technologies and summarizes the main area of application and limitations of each technology when utilized in OSC. The review also points out their potential and how they can be better adopted to improve OSC practice in the future.

https://www.mdpi.com/2075-5309/10/11/204/pdf

A Systematic Review of Digital Technology Adoption in Off-Site Construction: Current Status and Future Direction towards Industry 4.0

Construction accidents, injuries, and fatalities have not declined significantly, despite arduous efforts of researchers, safety professionals, and strongly-enforced safety laws. Safety education is crucial in promoting safe and healthy construction work environments; however, current pedagogical methods and tools at the tertiary level do not sufficiently engage students or provide practical experience to support the acquisition of safety knowledge. This paper aims to address the problem by proposing a novel approach that integrates safety with construction materials and methods education. A system is proposed comprising of three sequential modules: (1) safety and hazard lecture (SHL) module; (2) hazard identification game (HIG) module; and (3) student evaluation and assessment (SEA) module. The pedagogical suitability of the system is evaluated by a series of trials where students interacted with instructors. Interim results indicate that the system offers an innovative medium for experientially ...

Framework for Integrating Safety into Construction Methods Education through Interactive Virtual Reality

The aim of this paper is to design and develop an optimal motion cueing algorithm (MCA) based on the genetic algorithm (GA) that can generate high-fidelity motions within the motion simulator’s physical limitations. Both, angular velocity and linear acceleration are adopted as the inputs to the MCA for producing the higher order optimal washout filter. The linear quadratic regulator (LQR) method is used to constrain the human perception error between the real and simulated driving tasks. To develop the optimal MCA, the latest mathematical models of the vestibular system and simulator motion are taken into account. A reference frame with the center of rotation at the driver’s head to eliminate false motion cues caused by rotation of the simulator to the translational motion of the driver’s head as well as to reduce the workspace displacement is employed. To improve the developed LQR-based optimal MCA, a new strategy based on optimal control theory and the GA is devised. The objective is to reproduce a signal that can follow closely the reference signal and avoid false motion cues by adjusting the parameters from the obtained LQR-based optimal washout filter. This is achieved by taking a series of factors into account, which include the vestibular sensation error between the real and simulated cases, the main dynamic limitations, the human threshold limiter in tilt coordination, the cross correlation coefficient, and the human sensation error fluctuation. It is worth pointing out that other related investigations in the literature normally do not consider the effects of these factors. The proposed optimized MCA based on the GA is implemented using the MATLAB/Simulink software. The results show the effectiveness of the proposed GA-based method in enhancing human sensation, maximizing the reference shape tracking, and reducing the workspace usage.

Robust Optimal Motion Cueing Algorithm Based on the Linear Quadratic Regulator Method and a Genetic Algorithm

Towards a simulation-based tuning of motion cueing algorithms

This chapter deals with the topic of Augmented Reality Mirrors (ARMs) – a kind of specular interfaces making use of Augmented Reality technology. The review presented in the chapter first analyses the current setups for the construction of ARMs. Secondly, it presents a study on their potential for inferring in human perception (e.g. behaviour and emotions) and the high interactivity potential and usability they have. In the third place, it shows their use in different areas of knowledge, namely entertainment, edutainment, clothing, arts and medical therapy. Then, the chapter presents a discussion, highlighting the current technological barriers and the need for more research. Finally, future challenges are provided.

Interacting with Augmented Reality Mirrors

Objective:The aim of this study was to characterize the human response to motion-cuing algorithms (MCAs) by comparing users’ perception to several proposed objective indicators.Background:Other res...

Motion-cuing algorithms: characterization of users' perception.

The inspection of prefabricated buildings involves different stages and tasks such as the collection of measurements, the visual inspection of components and the written annotation of defects. Traditionally, inspectors have documented the process, the kind of defects and the proposed correction measures in paper format, hindering the collaboration with other experts (either simultaneously or asynchronously) and the collection of other types of annotations (e.g. images, 3D elements). In this paper, we present an AR tool designed to aid inspectors during this process. The tool has many benefits, as it allows simultaneously performing a collaborative inspection, taking multitype and geolocated annotations, their monitoring and edition, and performing in situ augmented visualizations. The quantitative and qualitative user evaluation carried out with our tool in a real environment (including usability and satisfaction evaluations) shows the relevance that such a technology might bring to the field and prove that our tool is usable and fulfils most of the inspectors’ expectations.

A collaborative augmented reality annotation tool for the inspection of prefabricated buildings

In this paper, we introduce ROMOT, a RObotic 3D-MOvie Theatre, and present a case study related to driving safety. ROMOT is built with a robotic motion platform, includes multimodal devices, and supports audience-film interaction. We show the versatility of the system by means of different types of system setups and generated content that includes a first-person movie and others involving the technologies of virtual, augmented, and mixed realities. Finally, we present the results of some preliminary user tests made at the laboratory level, including the system usability scale. They give satisfactory scores for the usability of the system and the individual’s satisfaction.

Sergio Casas

Papers

Towards a simulation-based tuning of motion cueing algorithms

Interacting with Augmented Reality Mirrors

Motion-cuing algorithms: characterization of users' perception.

A collaborative augmented reality annotation tool for the inspection of prefabricated buildings

On a First Evaluation of ROMOT—A RObotic 3D MOvie Theatre—For Driving Safety Awareness