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Supporting code and data for 'Miscellaneous EEG Preprocessing and Machine Learning for Pilots' Mental States Classification: Implications'
No full textData: This folder contains: - A dataset called Pilot_5_CA_raw.fif, which contains the EEG data of a pilot when he was experiencing the channelised attention state in a non-flight environment. - A dataset called Pilot_5_DA_raw.fif, which contains the EEG data of a pilot when he was experiencing the diverted attention state in a non-flight environment. - A dataset called Pilot_5_SS_raw.fif, which contains the EEG data of a pilot when he was experiencing the startle/surprise state in a non-flight environment. - A dataset called Pilot_5_LOFT_raw.fif, which contains the EEG data of a pilot when he was experiencing the channelised attention, diverted attention, and startle/surprise state in a flight simulator environment. Source code: This folder contains: - A jupyter notebook called ICAAI_Conference.ipynb which was used to generate the results of the study. - A python file called cf_matrix which was used to plot the confusion matri
Digital Twin Implementation Landscape_final_clean.csv
No full textResults from an online survey, cleaned from sensitive information.Digital Toolkit for optimisation of operators and technology in manufacturing partnerships (DigiTOP
A7 NC Symp 2018 _ Status of NATO Standard for NC Testing _ Pres Vogelsanger et al.pdf
Get PDFStatus of NATO-Standard for Nitrocellulose Testing (STANAG/AOP 4178) Beat Vogelsanger, Michael Ramin, Marc Müller, Patrick Folly Rheinmetal, Nitrochemi
A6 NC mmd by GPC and CHN at AWE N Barnett.pdf
Get PDFProgress toward reliable NC molecular mass distribution by GPC, plus a small introduction to CHN Nicola Barnett - AW
Data supporting 'Bioengineering remediation of former industrial sites contaminated with chemical mixtures'
No full textResearch data for a 120-day incubation study to determine the effects and influence of rice husk and wheat straw biochar, as well as spent mushroom compost, on the fate and behaviour of hydrocarbons and metals, as well as their influence on soil microbial communities in a genuinely contaminated former gasworks soil. Specifically, the data included are the changes in alkanes and PAH, metals (total and bioavailable distribution and partitioning), PLFA, Respiration, Microtox, and the respective statistics outputs including anova, principal component analysis and correlation (presented as draftsman charts)Petroleum Technology Development Fund (PTDF) Nigeri
Data supporting: 'Evaluating Different Soil Amendments as Bioremediation Strategy for Wetland Soil Contaminated by Crude Oil'
No full textThis study evaluated the efficacy of using Tween 80 surfactant (TW80) and food-waste anaerobic digestate fibre (FWAD) as soil amendments for the remediation of wetlands contaminated by crude oil. A 112-day mesocosms experiment was carried out to simulate hydrocarbon degradation under typical acidified wetland conditions. Soil was spiked with 50,000 mg kgˆ’1 crude oil and TW80 and FWAD were added to mesocosms at 10%, 20% and 30% w/w. The soil basal respiration, microbial community dynamics, environmental stress, alkanes, and PAHs degradation were monitored throughout the mesocosm experiment. Amending the mesocosms with FWAD and TW80 enabled the recovery of the soil microbial activities. This was evidenced by soil basal respiration which was the highest in the 30% FWAD and 30% TW80 mesocosms and translated into increased degradation rate of 32% and 23% for alkanes, and 33% and 26% for PAHs compared to natural attenuation, respectively. Efficient total hydrocarbon degradation was achieved in soil mesocosms with 30% FWAD and 30% TW80 at 90% and 86.8%, respectively after 49 days. Maize seed germination results showed significant improvement from 29% to over 90% following the FWAD and TW80 treatment.Nigeria Petroleum Technology Development Fund grant number P916179547727723
Data supporting 'Understanding the effects of Digital Elevation Model resolution in urban fluvial flood modelling'
No full textThis HERAS 2D model setup files and results were produced to study the effect of DEM resolution in fluvial flood modelling using Cockermouth storm Desmend flood (2015). -Link to the publication will be added once available- Note: This folder contains DEM data downloaded from Environment Agency, UK. This metadata record is for Approval for Access product AfA458. Attribution statement: (c) Environment Agency copyright and/or database right 2019. All rights reservedDrone Watc
SSFs dataset: Self-supervised features dataset of the ultrasonic signals of two-phase flow in an S-shaped riser
No full textTitle: SSFs dataset: Self-supervised features dataset of the ultrasonic signals of two-phase flow in an S-shaped riser Author: Boyu Kuang, [email protected] Time: 09th March 2023 Description: The source data of the proposed SSFs dataset comes from: https://doi.org/10.17862/cranfield.rd.11369379.v1 The Self-supervised features (SSFs) dataset is opened to the community along with our latest journal paper entitled: "Self-supervised learning-based two-phase flow regimen identification using ultrasonic sensors in an S-shape riser". NOTE: the journal DOI will be provided after the acceptance. This dataset is produced using the settings in TABLE I. Here are some details, and please contact me if you got any issues with using the dataset: SSFs_dataset: "the root directory of the dataset" | | -- ex: "the SSFs from the experiment group (ex)" | | | | | -- train: "the training set (70%)" | | | | | -- test: "the testing set (15%)" | | | | | -- valid: "the validation set (the rest)" | | -- ctr-A: "the SSFs from the control group (ctr-A)" | | | | | -- train: "the training set (70%)" | | | | | -- test: "the testing set (15%)" | | |
Design exploration and performance assessment of advanced recuperated hybrid-electric UAM rotorcraft
Get PDFThe design of efficient, environmentally friendly and quiet powerplant for rotorcraft architectures constitutes a key enabler for Urban Air Mobility application. This work focuses on the development and application of a generic methodology for the design, performance and environmental impact assessment of a parallel hybrid-electric propulsion system, utilizing simple and advanced recuperated engine cycles. A simulation framework for rotorcraft analysis comprising models for rotor aerodynamics, flight dynamics and hybrid-electric powerplant performance is deployed for the design exploration and optimization of a hybrid-electric rotorcraft, modelled after the NASA XV-15, adapted for civil applications. Optimally designed powerplants for payload-range capacity, energy efficiency and environmental impact have been obtained. A comparative evaluation has been performed for the optimum designs. The respective trade-offs between engine, heat exchanger weight, thermal efficiency, as well as mission fuel burn and environmental impact have been quantified. It has been demonstrated that a recuperated gas turbine based hybrid-electric architecture may provide improvements of up to 6% in mission range capability without sacrificing useful load. At the same time, analyses performed for a representative 100 km mission suggest reductions in fuel burn and NOX emissions of up to 12.9% and 5.2% respectively. Analyses are carried at aircraft and mission level using realistic UAM mission scenarios
Assessment of performance boundaries and operability of low specific thrust GUHBPR engines for EIS2025
Get PDFThis paper aims to develop a robust design process by approaching the performance boundaries and evaluating the operability of the pursued geared turbofan engine with low specific thrust for EIS 2025. A two-spool direct-drive turbofan (DDTF) engine of EIS 2000 was improved according to aircraft specifications and technology boundaries in 2025. A series of optimized engines with consecutive fan diameters were established to seek the ideal engine by balancing SFC, weight and mission fuel burn. The fan diameter was proved to be a decisive factor for lowering SFC and energy usage. The cycle design optimization process achieved a thermal efficiency of approximately 52%, and a propulsive efficiency of 79.5%, which is 8.19% increase in propulsive efficiency by enlarging fan diameter from 1.6m to 1.9m. Meanwhile, the 1.9m-fan diameter engine achieved a reduction in SFC and fuel burn of 7.47% and 6.58% respectively which offers an overall reduction of 30.82% in block fuel burnt and CO2 emission compared to the DDTF engine. A feasibility check verified the viability of the designed optimum engine in terms of fan tip speed, stage loading and AN2. Dynamic simulation offered a deep understanding of transient behaviour and fundamental mechanism of the geared turbofan engine. An important aspect of this paper is the use of advanced CMC materials, which led to an improvement of 4.92% in block fuel burn and 2.93% in engine weight