The construction sector faces persistent challenges in productivity, workforce availability, and safety, motivating the adoption of robotics, automation, and digitization across planning and execution. Within construction-scale robotic 3D printing, c...
This paper presents a simulation-based methodology for evaluating maintainable asset criticality in production systems modelled as complex repairable flow networks (CRFNs). The proposed Flow-Based Asset Criticality Evaluation Methodology (FACE) adopt...
Background/Objectives: The integration of AI chatbots in nursing education, particularly in simulation-based learning, is advancing rapidly. However, there is a lack of structured evaluation models, especially to assess AI-generated simulations. This...
The increasing demand for efficient manufacturing systems in the construction-materials industry creates a need for digital methods that enable logistics alternatives to be evaluated before physical implementation. This study applies discrete-event s...
This study presents the development and application of a human-centered assessment protocol for in-vehicle Human–Machine Interfaces (HMIs), suitable for real-vehicle evaluation and designed to support future implementation in simulated environm...
The treatment planning stage accounts for most reported patient safety events in radiation therapy, and automated quality assurance (QA) checklists are a common countermeasure; few of these tools, however, undergo formal human factors evaluation befo...
Simulation platforms are often evaluated as isolated teaching tools, although classroom outcomes reflect coordinated technical and instructional elements. This study evaluated a research-team-developed CARLA–SUMO platform as part of a bounded s...
Warehouse operations involve dynamic item flows, fluctuating demand, and heterogeneous layouts, making adaptive decision-making essential for efficient storage and order fulfillment. In this context, reinforcement learning (RL) provides a promising a...
Crack issues afflicting a building integrated photovoltaics (BIPV) system are major concerns in terms of the system’s maintenance and power degradation. Although there may be many circumstances that bring about cracks in BIPV modules during the insta...
Retrieval-augmented generation (RAG) is increasingly used to ground large language model (LLM) tutors, but comparing tutoring architectures is expensive, because every design decision ordinarily requires a fresh study with students. We present a repr...
Analyzing eigenfrequencies by acoustic resonance testing enables a fast screening of components regarding structural defects. The eigenfrequencies of each specific part depend on the general geometric and material properties, including tolerable part...
Over the last several years, a great amount of research work has been focused on the development of model predictive control techniques for the indoor climate control of buildings, but, despite the promising results, this technology is still not adop...
In this study, a cryogenic turbo-based refrigerator, with high-speed foil gas bearing turboexpander and plate-fin heat exchanger, was presented. For the cooling process of a cryogenic refrigerator is long and complex, the efficient simulation of the...
AI technologies are increasingly applied to optimize operations in both port and urban logistics systems, yet integration across the full maritime city chain remains limited. The objective of this study is to assess, using a simulation-based experime...
Phosphene-based visual neuroprostheses require encoding schemes that preserve task-relevant information while remaining feasible under safety-constrained stimulation. This study proposes a stress-based evaluation framework that reframes phosphene enc...
In this paper, a simulation-based system-level conducted susceptibility (CS) testing method for a wireless power transfer (WPT) system is proposed. The proposed method employs 3-dimensional electromagnetic (3D EM) models as well as equivalent circuit...
Autonomous surface vehicles need to be at least as safe as conventional vessels, if not safer, when navigating on waters. With a great deal of navigation algorithms for surface vessels out there, the safety of their produced paths is questionable, an...
The main objective of this study was to evaluate the safety effects caused by altering the lengths of deceleration and acceleration lanes at rest areas on expressways in Korea. Although general conclusions can be found through crash-based safety anal...
Short-term and large-scale full-population virus testing is crucial in containing the spread of the COVID-19 pandemic in China. However, the uneven distribution of health service facilities in terms of space and size may lead to prolonged crowding du...
The annual increase in the world’s population significantly contributes to recent climate change and variability. Therefore, researchers, engineers, and professionals in all fields must integrate sustainability criteria into their decision-maki...
As a common engineering practice, the buildings are usually evaluated under the Typical Meteorological Year (TMY), which represents the common weather situation. The warm and cool conditions, however, can affect the building performance considerably,...
Bluetooth Low Energy (BLE) resolvable private addresses (RPAs) reduce passive tracking, but RPA-resolving creates receiver-side work: a scanner whose bonded identity set exceeds controller resolving-list capacity which can be forced into repeated hos...
Virtual reality (VR) training is evaluated through outcomes that differ substantially in what they demonstrate, ranging from satisfaction and simulator improvement to physical performance, workplace behavior, and operational results. This focused nar...
Background: In northern countries, spring requires the removal of large volumes of abrasive materials used in winter road maintenance. This sweeping process, crucial for safety and environmental protection, has traditionally relied on conventional me...
Gamified e-learning platforms and Artificial Intelligence (AI)-driven adaptive learning systems can improve learner engagement, but existing solutions rarely combine the two, and few explain their adaptive decisions to learners. To address this gap,...
The transport sector is a significant contributor to global emissions. In Australia, it is the third largest source of greenhouse gases and is responsible for around 17% of emissions with passenger cars accounting for around half of all transport emi...
The food industry has tried to enhance production processes in response to the increasing demand for safe, high-quality Home Meal Replacement (HMR) products. While robotic automation systems are recognized for their potential to improve efficiency, t...
Background: Imaging-based logistic models are widely used for non-invasive risk stratification; however, their structural robustness and transportability across heterogeneous biological contexts remain insufficiently examined. Purpose: This study aim...
Automated evaluation of movement quality can enhance physiotherapeutic treatment and sports training by providing objective, real-time feedback. However, deep learning models that assess movements captured by inertial measurement units (IMUs) are oft...
This study presents a simulation-based evaluation of a wall-following and mapping framework for autonomous underwater vehicles (AUVs) equipped with a single-line laser, targeting structured environments such as rectangular tanks and dam interiors. A...
Telemedicine is increasingly relevant in undergraduate medical education; however, most educational studies emphasize short-term interventions, learner satisfaction, or tele-Objective Structured Clinical Examination performance rather than evidence d...
The maritime sector accounts for approximately 3% of global greenhouse gas (GHG) emissions and faces binding decarbonization obligations under the International Maritime Organization’s (IMO) Net-Zero Framework and the FuelEU Maritime Regulation...
The use of lighting simulation tools has been growing over the past years which has improved lighting analysis. While computer simulations have proven to be a viable tool for analyzing lighting in physical environments, they have difficulty in assess...
Background: Variability in procedural exposure among internal medicine junior doctors may result in inconsistent preparedness for essential bedside procedures. Simulation-based education grounded in mastery learning has been proposed to standardise s...
Limiting global temperature rise to well below 2 °C according to the Paris climate accord will require accelerated development, scale-up, and commercialization of innovative and environmentally friendly reactor concepts. Simulation-based design c...
Automated fiber placement (AFP) of advanced polymer composites requires timely monitoring of process conditions that influence gaps, overlaps, wrinkles, and inter-ply bonding. This study develops an end–edge–cloud decision-support framewo...
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The aim of this study was to examine whether a Simulation-based Empathy Enhancement program for Caregivers of the Elderly (SEE-C) was effective in increasing program satisfaction and positive emotional changes of older adults. A total of 100 older ad...
Simulation-based training (SBT) is increasingly recognized in medical education for enhancing clinical skills and confidence. This study evaluated the impact of SBT on satisfaction and self-confidence among final-year medical students at Jazan Univer...
This study examines the influence of vegetation on indoor daylight performance in school buildings located in the hot–humid climate of Chennai, India. With increasing urban development leading to the cutting or relocation of trees, their role i...
This paper presents an initial contribution to a broader research initiative focused on the aggregate calibration of travel demand sub-models using low-cost and widely accessible data. Specifically, this first phase investigates methods and algorithm...
In dynamic and open cloud service processes, particularly in distributed networked manufacturing environments, the complex and volatile manufacturing landscape introduces numerous uncertainties and disturbances. This paper addresses the common issue...
Background/Objectives: We evaluated a simulation-based diabetic ketoacidosis (DKA) early-warning framework and examined whether machine learning advantages reflected simulator assumptions. Methods: Twenty thousand synthetic 15 h episodes were generat...
This study examines the effectiveness of networking simulation tools, particularly Cisco Packet Tracer, in enhancing the learning experiences of exit-level students at a higher education institution based in the Eastern Cape of South Africa. Utilizin...
The high reliability of modern engineering systems is achieved by performing predictive maintenance. Mathematical models based on stochastic timed colored Petri nets are an effective tool for developing complex production processes for Industry 4.0....
Accessibility evaluation in built environments increasingly requires performance-based methods that capture dynamic user–environment interaction rather than static compliance with dimensional standards. Existing computational approaches, includ...
Traffic noise monitoring increasingly relies on automated vehicle type classification from audio recordings for source-specific noise analysis. However, training acoustic classifiers requires large, labeled datasets that are costly to collect. This s...
Background/Objectives: Therapeutic communication is a core competency in mental health nursing, yet clinical placements often offer limited opportunities for undergraduate students to practise relational skills in a safe and structured way. Simulatio...
The increasing deployment of autonomous vehicles in port logistics requires safety assessment methods that remain valid in mixed traffic environments. This study evaluates the safety of mixed automated guided vehicle (AGV) and human-driven vehicle (H...
The continuous advancement of connected and automated driving technologies has garnered considerable public attention regarding the safety and reliability of automated vehicles (AVs). Comprehensive and efficient testing is essential before AVs can be...
As recommended by the international standards, ISO 21542, ease of wayfinding must be ensured by installing signage at all key decision points on walkways such as forks because signage greatly influences the way in which people unfamiliar with an envi...
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