ORCID Profile
0000-0002-4766-3042
Current Organisation
RMIT University
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: Springer New York
Date: 29-07-2014
Publisher: Informa UK Limited
Date: 06-2011
Publisher: MDPI AG
Date: 31-01-2022
DOI: 10.3390/APP12031560
Abstract: Stroke is the second most common cause of death and remains a persistent health challenge globally. Due to its highly time-sensitive nature, earlier stroke treatments should be enforced for improved patient outcome. The mobile stroke unit (MSU) was conceptualized and implemented to deliver the diagnosis and treatment to a stroke patient in the ultra-early time window ( h) in the pre-hospital setting and has shown to be clinically effective. However, due to geographical challenges, most rural communities are still unable to receive timely stroke intervention, as access to specialized stroke facilities for optimal stroke treatment poses a challenge. Therefore, the aircraft counterpart (Air-MSU) of the conventional road MSU offers a plausible solution to this shortcoming by expanding the catchment area for regional locations in Australia. The implementation of Air-MSU is currently hindered by several technical limitations, where current commercially available CT scanners are still oversized and too heavy to be integrated into a conventional helicopter emergency medical service (HEMS). In collaboration with the Australian Stroke Alliance and Melbourne Brain Centre, this article aims to explore the possibilities and methodologies in reducing the weight and, effectively, the size of an existing CT scanner, such that it can be retrofitted into the proposed search and rescue helicopter—Agusta Westland AW189. The result will be Australia’s first-ever customized CT scanner structure designed to fit in a search-and-rescue helicopter used for Air-MSU.
Publisher: MDPI AG
Date: 12-10-2021
DOI: 10.3390/APP11209479
Abstract: In the last decade, Australian SMEs are steadily becoming more digitally engaged, but they still face issues and barriers to fully adopt Industry 4.0 (I4.0). Among the tools that I4.0 encompasses, digital twin (DT) and digital thread (DTH) technologies hold significant interest and value. Some of the challenges are the lack of expertise in developing the communication framework required for data collection, processing, and storing concerns about data and cyber security lack of knowledge of the digitization and visualisation of data and value generation for businesses from the data. This article aims to demonstrate the feasibility of DT implementation for small and medium-sized enterprises (SMEs) by developing a framework based on simple and low-cost solutions and providing insight and guidance to overcome technological barriers. To do so, this paper first outlines the theoretical framework and its components, and subsequently discusses a simplified and generalised DT model of a real-world physical asset that demonstrates how these components function, how they are integrated and how they interact with each other. An experimental scenario is presented to transform data harvested from a resistance temperature detector sensor connected with a WAGO 750-8102 Programmable Logic Controller for data storage and analysis, predictive simulation and modelling. Our results demonstrate that sensor data could be readily integrated from Internet-of-Things (IoT) devices and enabling DT technologies, where users could view real time data and key performance indicators (KPIs) in the form of a 3D model. Data from both the sensor and 3D model are viewable in a comprehensive history log through a database. Via this technological demonstration, we provide several recommendations on software, hardware, and expertise that SMEs may adopt to assist with their DT implementations.
Publisher: Informa UK Limited
Date: 10-11-2015
DOI: 10.1080/15389588.2014.931948
Abstract: One of the main requirements of a protective bicycle helmet is to provide and maintain adequate coverage to the head. A poorly fitting or fastened helmet may be displaced during normal use or even ejected during a crash. The aims of the current study were to identify factors that influence the size of helmet worn, identify factors that influence helmet position and adjustment, and examine the effects of helmet size worn and adjustment on helmet stability. Recreational and commuter cyclists in Sydney were surveyed to determine how helmet size and/or adjustment affected helmet stability in the real world. Anthropometric characteristics of the head were measured and, to assess helmet stability, a test analogous to the requirements of the Australian bicycle helmet standard was undertaken. Two hundred sixty-seven cyclists were recruited across all age groups and 91% wore an AS/NZS 2063-compliant helmet. The main ethnic group was Europeans (71%) followed by Asians (18%). The circumferences of the cyclists' heads matched well the circumference of the relevant ISO headform for the chosen helmet size, but the head shapes differed with respect to ISO headforms. Age and gender were associated with wearing an incorrectly sized helmet and helmet adjustment. Older males (>55 years) were most likely to wear an incorrectly sized helmet. Adult males in the 35-54 year age group were most likely to wear a correctly adjusted helmet. Using quasistatic helmet stability tests, it was found that the correctness of adjustment, rather than size, head dimensions, or shape, significantly affected helmet stability in all test directions. Bicycle helmets worn by recreational and commuter cyclists are often the wrong size and are often worn and adjusted incorrectly, especially in children and young people. Cyclists need to be encouraged to adjust their helmets correctly. Current headforms used in standards testing may not be representative of cyclists' head shapes. This may create challenges to helmet suppliers if on one hand they optimize the helmet to meet tests on ISO-related headforms while on the other seeking to offer greater range of sizes.
Publisher: CAD Solutions, LLC
Date: 21-07-2017
Publisher: Elsevier BV
Date: 04-2018
DOI: 10.1016/J.APERGO.2017.12.002
Abstract: Research has demonstrated that a better-fitted bicycle helmet offers improved protection to the rider during an impact. Nowadays, bicycle helmets in the market that range in size from small/medium to medium/large might not fit the erse range of human head shapes and dimensions. 3D scanning was used to create 3D head shape databases of 20 participants who volunteered for the study. We developed new custom-fitted helmet inner liners, based on the 3D head shape of two sub-groups of participants, to map their head sizes and contours closely to the conventional Medium (M) and Large (L) sizes as described in from AS/NZS 2512.1: 2009. The new custom-fitted helmet was compared with the helmet available in the market place in a dynamics stability test and from participants' subjective feedback. A significant reduction in the angle of helmet rotation on the headform in the lateral direction was recorded for the custom-fitted helmet. A Wilcoxon signed-rank test was conducted to evaluate participants' feedback on the helmets according to different area definitions. The overall fit and comfort and the top region of the new helmet were significantly improved. However, no difference was found at the significant level of 0.05 for the front and rear region of the new helmet.
Publisher: Elsevier BV
Date: 2016
Publisher: MDPI AG
Date: 25-01-2021
DOI: 10.3390/APP11031097
Abstract: This paper provides an overview of the current state-of-the-art digital twin and digital thread technology in industrial operations. Both are transformational technologies that have the advantage of improving the efficiency of current design and manufacturing. Digital twin is an important element of the Industry 4.0 digitalization process however, the huge amount of data that are generated and collected by a digital twin offer challenges in handling, processing and storage. The paper aims to report on the development of a new framework that combines the digital twin and digital thread for better data management in order to drive innovation, improve the production process and performance and ensure continuity and traceability of information. The digital twin/thread framework incorporates behavior simulation and physical control components, in which these two components rely on the connectivity between the twin and thread for information flow and exchange to drive innovation. The twin/thread framework encompasses specifications that include organizational architecture layout, security, user access, databases and hardware and software requirements. It is envisaged that the framework will be applicable to enhancing the optimization of operational processes and traceability of information in the physical world, especially in an Industry Shipyard 4.0.
Publisher: MDPI AG
Date: 30-11-2020
DOI: 10.3390/APP10238568
Abstract: This paper describes a new design method that was developed to achieve an optimal design method for weight reduction of a bell crank, sourced from a Louis Christen Road Racing F1 Sidecar. The method involved reverse engineering to produce a 3D model of the mechanical part. The 3D bell crank model was converted to a finite element (FE) model to characterize the eigenvalues of vibration and responses to excitation using the Lanczos iteration method in Abaqus software. The bell crank part was also tested using a laser vibrometer to capture its natural frequencies and corresponding vibration mode shapes. The test results were used to validate the FE model, which was then analysed through a topology optimization process. The objective function was the weight and the optimization constraints were the stiffness and the strain energy of the structure. The optimized design was converted back to a 3D model and then fabricated to produce a physical prototype for design verification and validation by means of FE analysis and laboratory experiments and then compared with the original part. Results indicated that weight reduction was achieved while also increasing the natural frequency by 2%, reducing the maximum principal strain and maximum von Mises stress by 4% and 16.5%, respectively, for the optimized design when compared with the original design. The results showed that the proposed method is applicable and effective in topology optimization to obtain a lightweight (~3% weight saving) and structurally strong design.
Publisher: Elsevier BV
Date: 03-2013
Publisher: Elsevier BV
Date: 09-2021
Publisher: Elsevier BV
Date: 2011
Publisher: Elsevier BV
Date: 2011
Publisher: MDPI AG
Date: 12-12-2020
DOI: 10.20944/PREPRINTS202012.0298.V1
Abstract: This paper provides an overview of the current state-of-the-art digital twin and digital thread technology in industrial operations. Both are transformational technologies that have the advantage of improving the efficiency of current design and manufacturing. Digital twin is an important element of the Industry 4.0 digitalization process however, the huge amount of data that are generated and collected by digital twin offer challenges in handling, processing and storage. The paper aims to report on the development of a new framework that combines the digital twin and digital thread for better data management in order to drive innovation, improve the production process and performance, and to ensure continuity and traceability of information. The digital twin/thread framework incorporated behavior simulation and physical control components, in which these two components rely on the connectivity between the twin and thread for information flow and exchange to drive innovation. The twin/thread framework encompasses specifications that include organizational architecture layout, security, user access, cloud computing set-up, and hardware and software requirements. It is envisaged that the framework will be applicable to enhancing optimization of operational processes and traceability of information in the physical world, especially in Industry Shipyard 4.0.
Publisher: Elsevier BV
Date: 2015
Publisher: MDPI AG
Date: 06-04-2023
DOI: 10.3390/APP13074635
Abstract: While traditional industrial robots participate in repetitive manufacturing processes from behind caged safety enclosures, collaborative robots (cobots) offer a highly flexible and human-interactive solution to manufacturing automation. Rather than operating from within cages, safety features such as force and proximity sensors and programmed protection zones allow cobots to work safely, close to human workers. Cobots can be configured to either stop or slow their motion if they come in contact with a human or obstacle or enter a protection zone, which may be a high pedestrian traffic area. In this way, a task can be ided into sub-processes allocated to the cobot or the human based on suitability, capability or human preference. The flexible nature of the cobot makes it ideal for low-volume, ‘just-in-time’ manufacturing however, this requires frequent reprogramming of the cobot to adapt to the dynamic processes. This paper reviews relevant cobot programming and control methods currently used in the manufacturing industry and alternative solutions proposed in the literature published from 2018 to 2023. The paper aims to (1) study the features and characteristics of existing cobot programming and control methods and those proposed in the literature, (2) compare the complexity of the task that the cobot is to perform with the skills needed to program it, (3) determine who is the ideal person to perform the programming role, and (4) assess whether the cobot programming and control methods are suited to that person’s skillset or if another solution is needed. The study is presented as a guide for potential adopters of cobots for manufacturing and a reference for further research.
Publisher: Elsevier BV
Date: 2013
Publisher: SCITEPRESS - Science and and Technology Publications
Date: 2014
Publisher: Elsevier BV
Date: 09-2016
Publisher: Elsevier BV
Date: 11-2022
DOI: 10.1016/J.MEDENGPHY.2022.103902
Abstract: Continuous Auditory Feedback (CAF) can have profound effects when used to guide bodily movements. CAF is defined as auditory feedback that responds dynamically to continuous streams of data. A large number of studies have used CAF to communicate dynamic human efforts in the body. In contrast, this study uses motion sensor data at the knee and hip joints, which were converted to auditory sounds, to communicate the dynamic phases of walking gait through shifts in tonal brightness and loudness of two tones with harmonic relationships. As a proof-of-concept study, our aim was to determine if CAF mapped to hip and knee movements affects a person's gait. A total of 10 participants, five males and five females, participated in a gait analysis in a Biomechanics lab in relation to the various sound conditions. Quantitative results revealed that CAF has a significant effect on cadence. Notably, females had a higher cadence compared with males. Qualitative responses suggested that participants were aware of a relationship between the rotation of the knee and hip as the rise and fall of audio tonal brightness to concentrate or synchronize their gait. We defined this as a brightness-rotation relationship. Based on these findings, we propose future investigations to further understand and extend this brightness-rotation relationship and develop reliable models of CAF to support movement awareness for gait training and rehabilitation program. These investigations will inform future development of wearable systems of on-body sensing and auditory feedback for this awareness and rehabilitation.
Publisher: Elsevier BV
Date: 2015
Publisher: MDPI AG
Date: 05-06-2023
DOI: 10.3390/APP13116854
Abstract: Digital transformation, characterised by advanced digitalisation, blockchain, the Internet of Things, artificial intelligence, machine learning technologies, and robotics, has played a key role in revolutionising various industries, especially the healthcare sector. The adoption of and transition (from traditional) to new technology will bring challenges, opportunities, and disruptions to existing healthcare systems. According to the European Union, we must pursue both digital and green transitions to achieve sustainable, human-centric, and resilient industries to achieve a world of prosperity for all. The study aims to present a novel approach to education and training in the digital health field that is inspired by the fifth industrial revolution paradigm. The paper highlights the role of training and education interventions that are required to support digital health in the future so that students can develop the capacity to recognise and exploit the potential of new technologies. This article will briefly discuss the challenges and opportunities related to healthcare systems in the era of digital transformation and beyond. Then, we look at the enabling technologies from an Industry 5.0 perspective that supports digital health. Finally, we present a new teaching and learning paradigm and strategies that embed Industry 5.0 technologies in academic curricula so that students can develop their capacities to embrace a digital future and minimise the disruption that will inevitably accompany it. By incorporating Industry 5.0 principles into digital health education, we believe students can gain a deeper understanding of the industry and develop skills that will enable them to deliver a more efficient, effective, and sustainable healthcare system.
Publisher: Elsevier BV
Date: 03-2017
DOI: 10.1016/J.APERGO.2016.08.031
Abstract: Traditional 1D anthropometric data have been the primary source of information used by ergonomists for the dimensioning of head and facial gear. Although these data are simple to use and understand, they only provide univariate measures of key dimensions. 3D anthropometric data, however, describe the complete shape characteristics of the head surface, but are complicated to interpret due to the abundance of information they contain. Consequently, current headform standards based on 1D measurements may not adequately represent the actual head shape variations of the intended user groups. The purpose of this study was to introduce a set of new digital headform models representative of the adult cyclists' community in Australia. Four models were generated based on an Australian 3D anthropometric database of head shapes and a modified hierarchical clustering algorithm. Considerable shape differences were identified between our models and the current headforms from the Australian standard. We conclude that the design of head and facial gear based on current standards might not be favorable for optimal fitting results.
Publisher: July Press Pte. Ltd.
Date: 07-12-2020
Abstract: This paper addresses challenges that arose during the on-going coronavirus pandemic and methodologies implemented in teaching a Biomechanics course in the Biomedical Engineering program (Biomedical and Electrical Engineering Discipline, Faculty of Engineering, RMIT University, Melbourne, Australia). We aimed to address the requirements for a quick transition of the entire curriculum to efficient remote delivery of the course, which involved: (i) providing authentic learning experiences (ii) keeping students motivated and engaged with their classes and team projects and (iii) preventing students from cheating when completing online assessments. The specific tools, software packages and approaches employed to support the remote teaching and learning are presented and discussed in this paper. Effective and on-going communication with students was crucial for managing their expectations, engagement with the course materials and teaching team, retaining positive learning experiences and for their overall well-being. The Socratic approach used in developing the online assessments was able to promote students’ critical thinking, problem solving and self-reflection and assisted the teaching team in minimising online cheating.
Publisher: Elsevier BV
Date: 03-2014
DOI: 10.1016/J.APERGO.2013.04.011
Abstract: The main objective of this study is to establish an approach for measuring the dry and evaporative heat dissipation cricket helmets. A range of cricket helmets has been tested using a sweating manikin within a controlled climatic chamber. The thermal manikin experiments were conducted in two stages, namely the (i) dry test and (ii) wet test. The ambient air temperature for the dry tests was controlled to ~ 23 °C, and the mean skin temperatures averaged ~ 35 °C. The thermal insulation value measured for the manikin with helmet ensemble ranged from 1.0 to 1.2 clo. The results showed that among the five cricket helmets, the Masuri helmet offered slightly more thermal insulation while the Elite helmet offered the least. However, under the dry laboratory conditions and with minimal air movement (air velocity = 0.08 ± 0.01 ms(-1)), small differences exist between the thermal resistance values for the tested helmets. The wet tests were conducted in an isothermal condition, with an ambient and skin mean temperatures averaged ~ 35 °C, the evaporative resistance, Ret, varied between 36 and 60 m(2) Pa W(-1). These large variations in evaporative heat dissipation values are due to the presence of a thick layer of comfort lining in certain helmet designs. This finding suggests that the type and design of padding may influence the rate of evaporative heat dissipation from the head and face hence the type of material and thickness of the padding is critical for the effectiveness of evaporative heat loss and comfort of the wearer. Issues for further investigations in field trials are discussed.
Publisher: Elsevier BV
Date: 2015
Publisher: Springer Science and Business Media LLC
Date: 08-02-2021
Publisher: Elsevier BV
Date: 08-2000
Publisher: Elsevier BV
Date: 2015
Publisher: SCITEPRESS - Science and Technology Publications
Date: 2020
Publisher: Office of the Academic Executive Director, University of Tasmania
Date: 29-05-2023
DOI: 10.53761/1.20.5.15
Abstract: Educators constantly need to make adjustments to their pedagogy and learning activities to reflect the fast changes in society, the economy and industry. This has been clearly demonstrated throughout the world in the response to the COVID-19 pandemic required fully remote delivery of tertiary education. The aim of this study was comparing the experiences and perceptions of tertiary students in a fully online and a blended delivery mode, particularly in response to their laboratory skills and development of graduate attributes. Pedagogical aspects were kept consistent across delivery modes to minimise the differences in learning activities across cohorts. A comparison was made between the 2020 fully online cohort and the 2021 blended delivery cohort. The students were asked about their perceptions of how well they thought the course developed their graduate attributes how authentic they thought the course was and how easy the content was to navigate and understand. A mixed methods approach was used, where both quantitative and qualitative data was gathered. The blended delivery mode students appeared to benefit from having a specific reflective task, which allowed them to see their learning in a broader context. The paper discusses the blending and online learning from the students’ perspectives of developing graduate attributes and experiential learning. Specifically, where hands on skills are required, students need further guidance in “learning how to learn” or metacognition. A key challenge for future blended learning is getting the balance right between achieving efficiency in online learning and lack of social and dynamic interactions aspect of the online community.
Publisher: MDPI AG
Date: 21-09-2022
DOI: 10.3390/APP12199450
Abstract: IAQ monitoring studies have gained renewed interest post COVID-19. Furthermore, accessibility to the corresponding enabling technologies has improved considerably in terms of cost and requisite knowledge. This paper aims to outline the key decisions involved for researchers and building managers alike to seek to implement their own environmental monitoring study using commercially available hardware and software. To do so, this paper first outlines the essential elements or building blocks of an IoT architecture, detailing the design criteria for selecting various hardware and software. Secondly, it outlines the process of integrating these different components and the flow of data from IoT device to databases and end-user applications. To demonstrate this process, an IAQ monitoring study was conducted at an open-plan office. Our results demonstrated the framework can be adapted to different worksites with minor modifications and provide the flexibility to interchange components. The data collected can be easily integrated into open-source analytic software for visualization and to make informed decisions to manage IAQ. It is through this process that we provide recommendations on how other users may adopt similar frameworks.
Publisher: Elsevier BV
Date: 2015
Publisher: Springer International Publishing
Date: 14-10-2015
Publisher: Informa UK Limited
Date: 14-11-2015
DOI: 10.1080/15389588.2014.934366
Abstract: One of the main requirements of a protective helmet is to provide and maintain appropriate and adequate coverage to the head. A helmet that is poorly fitted or fastened may become displaced during normal use or even ejected during a crash. Observations and measurements of head dimensions, helmet position, adjustment, and stability were made on 216 motorcyclists. Helmet details were recorded. Participants completed a questionnaire on helmet usability and their riding history. Helmet stability was assessed quasistatically. Differences between the dimensions of ISO headforms and equivalent sized motorcyclists' heads were observed, especially head width. Almost all (94%) of the helmets were labeled to be compliant with AS/NZS 1698 (2006). The majority of riders were satisfied with the comfort, fit, and usability aspects of their helmets. The majority of helmets were deemed to have been worn correctly. Using quasistatic pull tests, it was found that helmet type (open-face or full-face) and the wearing correctness were among factors that affected the loads at which helmets became displaced. The forces required to displace the helmet were low, around 25 N. The size of the in-use motorcycle helmets did not correspond well to the predicted size based on head dimensions, although motorcyclists were generally satisfied with comfort and fit. The in vivo stability tests appear to overpredict that helmets will come off in a crash, based on the measured forces, tangential forces measured in the oblique impact tests, and the actual rate of helmet ejection.
Publisher: Elsevier BV
Date: 2015
Publisher: Hindawi Limited
Date: 2003
DOI: 10.1080/1042015031000073814
Abstract: The perovskite-structured SrSnO 3 possessing steady capacitance over the temperature range between 27°C and 300°C in a frequency domain spanning nearly four decades has been evaluated. The s les investigated in this study were synthesized by using solid-state reaction (SSR) and self-heat-sustained (SHS) techniques. These s les were sintered at a temperature (T ) ranging between 1200°C and 1600°C with a soak-time (t) ranging between 2 h and 60 h. The ac immittance (impedance or admittance) measurements were conducted on these sintered bodies in the frequency range 5Hz to 13 MHz. These ac electrical data were found to exhibit relaxation in more than one complex plane formalisms in a simultaneous manner. The magnitude of the terminal capacitance was found to be in a narrow window of 3 pF to 6 pF possessing very weak temperature dependence. Further analysis also revealed that this material system possessed low dielectric constant and ultra-low temperature coefficient of capacitance (TCC) or dielectric constant (TCK). The electrical behavior of these sintered bodies has been systematically correlated with the evolved microstructures. Plausible equivalent circuit elements were extracted using the lumped parameter/complex plane analysis (LP/CPA) and evaluated at various situations.
Publisher: SAGE Publications
Date: 06-07-2023
DOI: 10.1177/14644207221112362
Abstract: Conventional corrective insoles for flatfoot in iduals traditionally utilise solid arch support to prevent the collapse of medial longitudinal arch. Such design restricts the foot arch compression and recoil in stance phase and increases the expanded energy during gait. In this study, a novel customised design insole was designed and manufactured using person's 3D foot scans. A novel elastic mesh pad was implemented in the mid-insole to replace the conventional solid arch support. The new insoles were tested in standard straight gait laboratory trials. The kinematic analysis showed that the novel insoles improved foot arch compression and recoil in stance phase with flatfooted in iduals. Finally, the new insoles were provided to the participants to be habitually worn during a prolonged period of daily usage. The obtained gait analysis results and user feedback indicate strongly that the novel insoles provide improved comfort, static and dynamic balance, and arch support in stance phase. In summary, the new insoles show substantive potential in addressing the shortcomings of the widely used passive support ones while providing less restrictive and effective dynamic support.
Publisher: Informa UK Limited
Date: 2001
Publisher: IOP Publishing
Date: 2019
Publisher: MDPI AG
Date: 26-01-2023
DOI: 10.3390/S23031395
Abstract: Conventional heating ventilation and air-conditioning (HVAC) controllers have been designed to mainly control the temperature of a confined compartment, such as a room or a cabin of a vehicle. Other important parameters related to the thermal comfort and indoor air quality (IAQ) of the confined compartment have often been ignored. In this project, IAQ in the vehicle cabin was represented by its carbon dioxide (CO2) concentration, and the occupants’ thermal comfort levels were estimated with the predicted mean vote (PMV) index. A new fuzzy logic controller (FLC) was designed and developed using the MATLAB fuzzy logic toolbox and Simulink to provide a nonlinear mapping between the measured values, i.e., PMV, temperature, CO2, and control parameters (recirculation flaps, blower’s speed, and refrigerant mass flow rate) of a vehicle HVAC system. The new FLC aimed to regulate both in-cabin PMV and CO2 values without significantly increasing overall energy consumption. To evaluate the effectiveness of the proposed FLC, a cabin simulator was used to mimic the effects of different HVAC variables and indoor/outdoor environmental settings, which represented the in-cabin PMV and IAQ readings. Results demonstrated that the new FLC was effective in regulating the in-cabin PMV level and CO2 concentration, at desirable levels, by adaptively controlling the opening and closing of the recirculation flap based on in-cabin temperature and CO2 readings, while maintaining an average-to-good energy consumption level. The proposed FLC could be applied to a large variety of HVAC systems by utilizing low-cost sensors, without the need to significantly modify the internal design of the HVAC system.
Publisher: MDPI AG
Date: 17-08-2023
DOI: 10.3390/APP13169333
Abstract: Industry 4.0 (I4.0) grants businesses in the manufacturing sector significant benefits in terms of productivity and efficiency however, industries must strive to reach a level of technological readiness and acquire the necessary expertise to implement and integrate I4.0 technologies to enhance their processes. This paper presents a framework designed to provide guidance to businesses within the manufacturing industry to improve efficiency and productivity. The framework was developed and refined in collaboration with a leading cold-chain insulated packaging manufacturer based in Melbourne, Australia. The proposed framework was designed and implemented utilising off-the-shelf sensing, processing, and visualisation components, which can be integrated into existing machinery, thereby achieving a cost-effective retrofit. Experimental results showed that a system developed using the proposed framework can accurately measure material consumption in terms of length. The system provides the building blocks for the manufacturer to avoid downtime by preventing the machine from running out of raw materials.
Publisher: Elsevier BV
Date: 07-2016
DOI: 10.1016/J.APERGO.2016.02.008
Abstract: Helmet safety benefits are reduced if the headgear is poorly fitted on the wearer's head. At present, there are no industry standards available to assess objectively how a specific protective helmet fits a particular person. A proper fit is typically defined as a small and uniform distance between the helmet liner and the wearer's head shape, with a broad coverage of the head area. This paper presents a novel method to investigate and compare fitting accuracy of helmets based on 3D anthropometry, reverse engineering techniques and computational analysis. The Helmet Fit Index (HFI) that provides a fit score on a scale from 0 (excessively poor fit) to 100 (perfect fit) was compared with subjective fit assessments of surveyed cyclists. Results in this study showed that quantitative (HFI) and qualitative (participants' feelings) data were related when comparing three commercially available bicycle helmets. Findings also demonstrated that females and Asian people have lower fit scores than males and Caucasians, respectively. The HFI could provide detailed understanding of helmet efficiency regarding fit and could be used during helmet design and development phases.
Publisher: Elsevier BV
Date: 2015
Publisher: SCITEPRESS - Science and Technology Publications
Date: 2019
Publisher: Elsevier BV
Date: 1999
No related grants have been discovered for Toh Yen Pang.