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25th International Conference on Human-Computer Interaction, HCII 2023

作者： Whitworth, Benjamin Grant, Rebecca Human Systems Integration Group Faculty of Engineering Environment and Computing Coventry University Coventry United Kingdom

ISBN: (纸本)9783031480379

Within some aircraft types, there are different variants that a pilot is permitted to fly on a single type rating. Previous research has investigated multi-variant flying on specific fleets, supporting the notion that differences should be proactively considered. Regulation describes the level of training pilots receive and this is based upon how different the variants are from one other. Recently, this training entered the spotlight, due to the tragic Boeing 737-Max accidents. This research further explored the human factors challenges and mitigations associated with multi-variant flying. Twenty-eight pilots including Captains and First Officers with recent multi-variant operational experience at multiple airlines, were interviewed using a semi-structured technique. A rich and detailed data set was subsequently analysed using a thematic method, with themes identified and examined. Whilst participants commented positively regarding multi-variant flying in the example used, the challenges of this were also highlighted and these differed from airline to airline, varying significantly as a result of fleet complexity, age, and commonality. Challenges were identified in terms of differences both within and between variants, information recall, navigation of variant information in manuals, and scheduling on multiple variants within the same day. How variant challenges were routinely managed, from an individual and organisational perspective were described, with documentation, briefings and training raised, but often variable and in some cases lacking in key areas. Differences were identified between those who perceived receiving adequate training, and those who had not, as well as those operating within simple or complex fleets. A simple approach to identifying and comprehending differences was identified. The results call for further research to explore the appropriateness of current regulation, considering fleet size, variability and fit, alongside industry recommendati

关键词： Aircraft accidents

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NSGAN:a non-dominant sorting optimisation-based generative adversarial design framework for alloy discovery

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npj Computational Materials 2024年第1期10卷 2087-2101页

作者： Z.Li N.Birbilis College of Engineering Computing and CyberneticsThe Australian National UniversityActonACTAustralia Faculty of Science Engineeringand Built EnvironmentDeakin UniversityWaurn PondsVICAustralia

The design and discovery of new materials is fundamental to advancing scientific and technological *** recent emergence of the materials genome concept holds great promise in revolutionising materials science by enabling the systematic utilisation of data for efficient prediction and optimisation of‘superior’***,the materials genome approach can be stymied by the vast complexity of design spaces,which often demand substantial computational resources and sophisticated data processing *** address these challenges,this work introduces a generative design framework called the non-dominant sorting optimisation-based generative adversarial networks(NSGAN).Capitalising on the synergies of genetic algorithms(GA)and generative adversarial networks(GANs),NSGAN provides a robust and efficient approach for tackling high-dimensional multi-objective optimisation design *** validate the efficacy of the proposed framework,we applied the model to a comprehensive dataset of aluminium ***,an online tool was created as a supplementary resource,offering a brief introduction to this innovative method for the wider scientific *** study explores the potential of a predictive and data-driven approach in material design,indicating a promising pathway for widespread applications in the field of materials science.

关键词： alloy offering holds

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An overview of soil–water characteristic curves of stabilised soils and their influential factors

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Journal of King Saud university - engineering Sciences 2022年第1期34卷 31-45页

作者： Eyo, E.U. Ng'ambi, S. Abbey, S.J. School of Energy Construction and Environment Faculty of Engineering Environment and Computing Coventry University Coventry United Kingdom Faculty of Environment and Technology Department of Geography and Environmental Management Civil Engineering Cluster University of the West of England United Kingdom

Since unsaturated soil conditions are normally experienced above the groundwater table, most treated or stabilised soils for roadworks, earth dams’ embankments, landfill sites, hydraulic barriers etc. could be regarded as existing in this region. The soil–water characteristic (or retention) curve (SWCC) is a useful conceptual tool by which an evaluation of unsaturated soil's property functions and corresponding macro-scale behaviour (strength, volume change, hydraulic conductivity, fluid flow, diffusivity, etc.) can be carried out. Hence, an examination of some of the various factors that could affect the hydraulic or water retention property of the stabilised soil is very vital both for laboratory studies and field practice. However, a thorough assessment of the water retention behaviour of stabilised soils can be understandably limited sometimes. This could be partly due to some of the perculiar conditions associated with soil preparation methods, soil type, soil-stabiliser mix proportion used, curing conditions, method of compaction, durability assessment modalities and other logistical issues surrounding either laboratory instrumentation or in-situ application. This article presents a critical and comprehensive review of these factors on the stabilised soil's water retention behaviour and also provides a systematic understanding of the mechanisms of stabilisation occurring at the micro- and macro-mechanical levels. Recommendations are also made to stimulate further discussions on the synthesis of SWCC of stabilised soils vis-à-vis factors influencing them with possible interpreted engineering behaviours such as shear strength and soil consolidation. © 2020 The Authors

关键词： Lime

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Agent-based heuristics model for measuring customer disruption impact on production and inventory replenishment

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International Journal of Industrial and Systems engineering 2022年第3期40卷 370-398页

作者： Al-Bazi, Ammar Adediran, Tunde V. Faculty of Engineering Environment and Computing Coventry University West Midlands CoventryCV1-5FB United Kingdom

Agent-based simulation approach in production and inventory environment is capable of responding and adapting to disruptions caused by customers’ changing requirements. The impacts of disruptions in production and inventory systems can be measured through learning and decision-making ability of system agents. In this paper, agent-based modelling integrated with heuristic optimisation approach is presented as embedded within a scheduling and rescheduling framework. The proposed approach is implemented in a disrupted OEMs parts manufacturing system. The integration of the framework modules in connection with inventory control helped production planners to manage disruptions by tracking order processing times and quantities and for performance measurement. The proposed approach is compared with the few existing related methods like the sequential method. The proposed approach not only revealed the impact of disruptions in terms of process times and order quantities but offered ‘available times’ which were applied for production support and inventory replenishment. This demonstrates a valuable and viable resolution strategy responding and adapting to disruptions caused by customers. Copyright © 2022 Inderscience Enterprises Ltd.

关键词： Decision making

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An Effective Machine Learning Technique for Rice Leaf Disease Detection 4

An Effective Machine Learning Technique for Rice Leaf Diseas...

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4th IEEE International Conference on computing, Communication, and Intelligent Systems, ICCCIS 2023

作者： Chikati, Divya Manyam, Rajasekhar Reddy Kancharla, Ramkumar Amrita School of Computing Amrita Vishwa Vidyapeetham Amaravati Campus Andhra Pradesh Amaravati India Environment and Computing Coventry University Faculty of Engineering Coventry United Kingdom

ISBN: (纸本)9798350306118

Plant diseases, especially those that attack rice leaves, cause serious problems for farmers since they make it more challenging to provide enough food to satisfy the world's growing population. Farmers' livelihoods that rely on agriculture have been threatened by the economic losses brought on by rice illnesses. As a tragic outcome of the hardships they encounter, several farmers have taken their own lives. It is crucial to detect and identify disease-infected plants in order to execute efficient disease management strategies. The Inception V3 model is utilized for disease classification, and the Convolutional Neural Network (CNN) autoencoder is employed to reduce noise in images of rice leaves. The dataset is then expanded through data augmentation approaches. The primary objective of the initial stage is to gather photographs of rice leaves from the UCI Machine Learning Repository. Once a collection of photographs has been gathered, the images are subjected to processing using a Convolutional Neural Network (CNN) autoencoder model. This process aims to enhance the quality of the images and eliminate any unwantednoise present in them. Subsequently, data augmentation techniques are employed to increase the volume of the dataset and standardize the dimensions of the images, both of which play a role in training a robust and adaptable model. Diseases are categorized using the popular inception v3 model, which can process vast and diverse picture datasets. This method allows for the precise categorization and detection of a wide variety of rice leaf diseases with the accuracy of 98.8%. © 2023 IEEE.

关键词： Diseases

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A FEA simulation study on impeller failures considering various materials

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Materials Today: Proceedings 2023年 80卷 54-61页

作者： Mckay, Innes Anbalagan, Arivazhagan Department of Mechanical Engineering Robert Gordon University Aberdeen AB10 7QB United Kingdom School of Mechanical Aerospace and Automotive Engineering Faculty of Engineering Environment & Computing Coventry University Priory St Coventry CV1 5FB

This work focuses on various FEA simulations conducted to study the behaviour of six impeller materials in order to predict their failures. It is through analysing the various stresses, strains and safety factor during its operation. Two static structural simulations were performed to (i) benchmark common impeller materials namely FV520B, 316 L and 17-4 precipitation hardened stainless steels, and (ii) to investigate three proposed alternative materials namely duplex stainless-steel, nickel aluminium bronze (NAB) and cast iron. After this, explicit dynamic simulation was undertaken to study the same benchmarked impeller materials. Failures and large stress concentrations occurring at the blade-hub leading and trailing edge interface were predicted which has been found to be consistent with some cases outlined in relevant literature. Similarly, trend has also been predicted at the trailing edge of the discharge side of the impeller. Specifically, FV520B was found to withstand the application of the combined rotational and aerodynamic load, for both static and dynamic simulations. Of the three alternative materials investigated, duplex stainless-steel was the only one to satisfy the failure criteria. From static and dynamic simulation of each material, the operation aerodynamic load was found to have little effect on the resultant stress and strain responses. This is consistent with many FEA simulations of impellers seen in literature, wherein the aerodynamic load is often simplified or neglected completely. In both the simulations of benchmark materials, the material data available to the solver greatly impacted the magnitude and behaviour of the material's stress/strain response. © 2022

关键词： Finite element method

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The Effect of Valve Opening and Closing Time on the Mechano-Electric Feedback in the Left Ventricle 10

The Effect of Valve Opening and Closing Time on the Mechano-...

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10th E-Health and Bioengineering Conference, EHB 2022

作者： Pearce, Nicholas F. Kim, Eun-Jin Faculty of Engineering Environment and Computing Coventry United Kingdom

ISBN: (纸本)9781665485579

Pathologies in the valves in the heart contribute to a large proportion of global cardiac deaths reduce the quality of lives for millions of others. Here, we investigate the effects of variations in the opening and closing times of the valves of the left ventricle at the same time as pathologies in the mechano-electric feedback. To this end, we utilize our synergistic cardio-vascular model without having to use time-varying elastance method. The latter prescribes the pressure-volume relationship in the ventricle directly using a periodic function, neglecting cardiac feedback and regulating mechanisms and is therefore unsuitable for investigating the mechano-electric feedback. We find that the closing time of valves has the greatest effect. A slower closing period of the aortic valve delays the onset of complications caused by the mechano-electric feedback, reducing the susceptibility to systolic stretch. For diastolic stretch, slow mitral valve closing time drastically increases the rise in heartrate and lessens the decline in stroke volume. © 2022 IEEE.

关键词： Pathology

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A case study of a virtual reality-based drink driving educational tool

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Multimedia Tools and Applications 2024年第18期83卷 55351-55363页

作者： Masterton, Callum Wilson, Andrew Sean College of Computing Faculty of Computing Engineering and the Built Environment Birmingham City University Millennium Point Curzon Street BirminghamB4 7 XG United Kingdom

Road traffic accidents are of major concern and could be reduced by better education. This paper describes the development of a virtual reality (VR) app that mimics the effects of alcohol on a driver. It was developed using Unity (version 2019.3.14), smartphone and Google Cardboard™. The user experiences a car following a predetermined route that is lined with trees and objects (traffic lights, road signs and other cars) which they need to spot and react to. By using graphical filters and time delays the driver has a feeling of being under the influence of alcohol. Twenty volunteers (18–60 years old;mean age ± sd 25.5 ± 11.6) participated in its evaluation. Data were collected on concentration times, reaction speed and observation of objects in both the alcohol simulated (impaired) and non-simulated (unimpaired) runs. Data were analysed using paired t-test. The result showed that people spent longer concentrating on objects in the impaired vs unimpaired run (10.72 ± 5.07 vs 5.30 ± 4.22 s n:20;p © The Author(s) 2023.

关键词： Virtual reality

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Hydrogen Energy Storage System:Review on Recent Progress

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Energy engineering 2025年第1期122卷 1-39页

作者： MilleniumWong Hadi Nabipour Afrouzi Research Centre for Sustainable Technologies Faculty of EngineeringComputing and ScienceSwinburne University of TechnologyJalan Simpang TigaKuchingSarawak93350Malaysia College of Engineering Faculty of ComputingEngineering and the Built EnvironmentBirmingham City UniversityBirminghamWest MidlandsEnglandB47XGUK

A hydrogen energy storage system(HESS)is one of the many risingmodern green innovations,using excess energy to generate hydrogen and storing it for various *** that,there have been many discussions about commercializing HESS and improving it ***,the design and sizing process can be overwhelming to comprehend with various sources to examine,and understanding optimal design methodologies is crucial to optimize a HESS *** that,this review aims to collect and analyse a wide range of HESS studies to summarise recent *** different collections of studies are studied,one was sourced by the main author for preliminary readings,and another was obtained via *** findings from the Web of Science platform were also examined for amore comprehensive *** findings include the People’sRepublic of China has been active in HESS research,as most works and active organizations originate from this *** has been mainly researched to support power generation and balance load demands,with financial analysis being the common scope of *** is a common tool used for HESS design,modelling,and optimization as it can handle complex *** neural network(ANN)has the potential to be used to model the HESS,but additional review is required as a formof future *** a commercialization perspective,pressurized hydrogen tanks are ideal for hydrogen storage in a HESS,but other methods can be considered after additional research and *** this review,it can be implied that modelling works will be the way forward for HESS research,but extensive collaborations and additional review are ***,this review summarized various takeaways that future research works on HESS can use.

关键词： Hydrogen energy storage system VOSViewer design review sizing

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Industrial IoT-based submetering solution for real-time energy monitoring

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Discover Internet of Things 2025年第1期5卷 1-16页

作者： Khasawneh, Hussam J. Al Asbahi, Raghad Alzariqi, Abdelrahman W. Al Qada, Danah R. Bujuk, Ayman Nawfal, Muhammad A. Tareen, Maria Department of Electrical Engineering Al Hussein Technical University King Hussein Business Park Amman11118 Jordan Department of Mechatronics Engineering The University of Jordan Amman11942 Jordan InJo4.0 Innovation Center SAM Engineering Amman11185 Jordan Engineering Department RAM Pharmaceuticals Amman11652 Jordan Faculty of Engineering Environment and Computing Coventry University CoventryCV1 5FB United Kingdom

The Sustainable Monitoring & Advanced Real-Time Energy Efficiency (SMARTEE) project addresses the critical challenge of optimizing energy management in pharmaceutical manufacturing through an Industrial Internet of Things (IIoT)-based submetering solution. This study presents the design and deployment of a tailored IoT system, integrating IoT-enabled submeters, a Mini-PC gateway, and cloud-based analytics for continuous, real-time energy consumption monitoring across critical equipment such as chillers, boilers, and HVAC systems. Following a systematic methodology, the project implemented advanced data acquisition and communication protocols, including Modbus over RS485, Node-RED for data processing, and MQTT for transmitting energy metrics to a cloud-based visualization platform. Results demonstrated the system’s efficacy in delivering actionable insights into energy patterns, significantly improving operational efficiency and waste reduction. The IoT-based solution is highly scalable, adaptable to various industrial contexts, and provides a secure platform for real-time monitoring. This work highlights the potential of IoT in transforming industrial energy management, with future research focusing on AI-driven predictive analytics and seamless integration with renewable energy systems to enhance sustainability and resilience further. © The Author(s) 2025.

关键词： Gateways (computer networks)

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