1,060 Works

Optical Detection of Glucose Using 3D-Printed Microfluidic Platform. BIOS2016 Gothenburg.

Alexander Tothill
Poster and data presented at Biosensors 2016 Conference Gothenburg Sweden.

Workshop Series Towards Preference Marketplace Development

Samet Isaev, Harris Makatsoris, Stephen Green & Fabrizio Ceschin
A series of workshops have been conducted to develop a digital crowdsourcing tool. Preference marketplace is inspired from traditional stock market and prediction markets. the aim of the proposed method is to engage consumers using game mechanics in order to aggregate large and diverse group of people`s opinion to identify the most promising new product ideas and concepts. First we conducted paper based workshops to collect feedback from users. Participants engagement were very good and...

Buried object detection and classification using SAR in varying moisture environments

Richard Sabiers
Remote investigation and classification of buried objects is important for many reasons. For defence roles the identification of suspicious objects can enhance security. Civilian applications are also applicable allowing estimation of crop yield and remote monitoring of plant health.
The aim of this work is to demonstrate a prototype open-source system of radar-based target detection and classification. Experimental targets consist of buried artefacts, including an example of military ordnance, such as a landmine and a...

Dataset of Investigation of air and oxy-fuel biomass combustion kinetics in a spout fluidised-bed reactor

Harry Yan Yan, Peter Clough & Ben Anthony
Dataset of Investigation of air and oxy-fuel biomass combustion kinetics in a spout fluidised-bed reactor.

Dataset for Applying machine learning algorithms in estimating the performance of heterogeneous, multi-component materials as oxygen carriers for chemical-looping processes

Yongliang Yan, Peter Clough & Ben Anthony
The training data for 19 manganese ores as potential oxygen carriers in the chemical-looping process from a fluidised-bed reactor. This database has been used to train several supervised artificial neural network models (ANN), which were used to predict the reactivity of the oxygen carriers with different fuels and the oxygen transfer capacity with only the knowledge of reactor bed temperature, elemental composition, and mechanical properties of the manganese ores. This novel approach explores ways of...

Dataset for Applying machine learning algorithms in estimating the performance of heterogeneous, multi-component materials as oxygen carriers for chemical-looping processes

Yongliang Yan, Peter Clough & Ben Anthony
The training data for 19 manganese ores as potential oxygen carriers in the chemical-looping process from a fluidised-bed reactor. This database has been used to train several supervised artificial neural network models (ANN), which were used to predict the reactivity of the oxygen carriers with different fuels and the oxygen transfer capacity with only the knowledge of reactor bed temperature, elemental composition, and mechanical properties of the manganese ores. This novel approach explores ways of...

Speckle tracking approaches in speckle correlation sensing

Tom Charrett, Krzysztof Kotowski & Ralph Tatam
Data and code used to generate the conference paper:
"Speckle tracking approaches in speckle correlation sensing"Thomas O. H. Charrett, Krzysztof Kotowski, and Ralph P. Tatam SPIE Optics and Optoelectonics, Prague, 2017.

Files:------
lib_feature_tracking.py - python module/library used to simplify the other scripts
feature detectors.py - python script used to test processing times of feature detectors.
feature descriptors.py - python script used to test processing times of feature descriptors and matching methods
modelled shifts.py - python script used to generate figure 1...

Visual Scene Understanding for Self-Driving Cars Using Deep Learning and Stereovision

Amélie Grenier
Poster presented at the 2018 Defence and Security Doctoral Symposium.
Autonomous driving has been rapidly evolving for the last few years and there is a lot of fervour in increasing the intelligence of these vehicles. One key aspect of a self-driving car is its ability to sense the environment in order to be aware of its surrounding.Our interest lies in using computer vision and deep learning techniques to detect surrounding entities; localising and recognising them. Here,...

Data for the paper titled Analysis of Combined Static Load and Low Temperature Hot Corrosion Induced Cracking in CMSX-4 at 550°C

Simon Gray, Laurie Brooking, John Nicholls, Joy Sumner, Nigel Simms, Gordon J. Tatlock & Karl Dawson
Presentation containing figures within the paper

Data for the paper titled Analysis of Combined Static Load and Low Temperature Hot Corrosion Induced Cracking in CMSX-4 at 550°C

Simon Gray, Laurie Brooking, John Nicholls, Joy Sumner, Nigel Simms, Gordon J. Tatlock & Karl Dawson
Presentation containing figures within the paper

2017 Defence and Security Doctoral Symposium (DSDS17) in conjunction with DSTL and AWE: Symposium outputs

Cranfield University
This collection showcases outputs from the third Defence and Security Doctoral Symposium, hosted at STEAM: Museum of the Great Western Railway, Swindon by Cranfield University in association with Dstl. It is the only UK conference to provide research students and early career researchers in defence and security with an opportunity to present their work to a sector-wide audience. Covering both technology and social sciences research, contributions include technical papers, a 3MT (three minute thesis) competition,...

Raw post experiment preference data

David Judt, Craig Lawson & Helen Lockett
Raw data of participant responses to ranking the position preference order.

Data for the paper 'Effect of impurities on ultra-pure hydrogen production by pressure vacuum swing adsorption'

Ayub Golmakani, Seyed Ali Nabavi & Vasilije Manovic
Dataset for "Effect of impurities on ultra-pure hydrogen production by pressure vacuum swing adsorption" article

2019 Defence and Security Doctoral Symposium (DSDS19) in conjunction with DSTL, AWE, Department for Transport and NCSC: Symposium outputs

Mandy Smith
This collection showcases outputs from the fifth Defence and Security Doctoral Symposium, hosted at STEAM: Museum of the Great Western Railway, Swindon by Cranfield University in association with Dstl, AWE, Department for Transport and NCSC. It is the only UK conference to provide research students and early career researchers in defence and security with an opportunity to present their work to a sector-wide audience. Covering both technology and social sciences research, contributions include technical papers,...

Characterisation and energy assessment of fats, oils and greases (FOG) waste at catchment level

Thomas Collin, Rachel Cunningham, Bruce Jefferson & Raffaella Villa
Data collected from literature and experimental work for the characterisation of several fats, oils and greases (FOG) wastes. This repository also contains data used for the energy assessment of FOG.

What is Where? Visual Understanding for Autonomous Cars

Amélie Grenier
Autonomous driving has been rapidly evolving for the last few years and there is a lot of fervour in increasing the intelligence of these vehicles. One key aspect of a self-driving car is its ability to sense the environment in order to be aware of its surroundings and consecutively take better decisions.
While the right combination of sensors is widely debated, my research interest lies in using computer vision and machine learning techniques to detect, localise...

Dataset for article entitled "The Programme Director and the Teaching Excellence Framework: How do we train the former to survive the latter?"

Ruth Massie
This is the base data from the survey undertaken for "The Programme Director and the Teaching Excellence Framework: How do we train the former to survive the latter?" in Higher Education Quarterly.
(The questionnaire used is at https://doi.org/10.17862/cranfield.rd.6652817.)

Effects of particulate contamination and jet fuel chemistry on the nucleation of water and ice in aircraft fuel systems

Judith Ugbeh
3MT presented at the 2018 Defence and Security Doctoral Symposium.
The contamination and behaviour of water in aircraft fuel systems remains a significant area of global research interest following several aircraft incidents. Water and particulates in fuel may lead to ice formation. The resulting ice formed may eventually block the fuel filters and feed pipes creating safety problems.In order to engineer a lasting solution to the problem of ice in jet fuel it is important to...

3D printed plastic attenuation with print speed

Alexander Tothill
Attenuation in Ultimaker PLA Translucent plastic samples made with 3 different layer heights at 3 different speeds, n=3. Excel file

Consumer Driven New Product Development in Future Re-Distributed Models of Sustainable Production and Consumption

Samet Isaev, Harris Makatsoris, Mariale Moreno & Mohannad Jreissat
The customer as co-creator of products is a grand challenge the entire consumer products manufacturing industry is facing. The design, manufacture and delivery of mass personalized customer products are critical important for economically and sustainable production. We demonstrated a model-based methodology and manufacturing process development for large scale beverage product customization. An orange beverage has been selected as case study to show that by linking a game-like consumer facing we b application and a novel...

Conceptualising Supply Chain Management: An Objective-Oriented Approach

Hussain Alkebaisi
Poster presented at the Cranfield Doctoral Network Annual Event 2018.
Although it has been more than three decades since the concept of Supply Chain Management (SCM) was first introduced, there are still significant attempts at, and a call for conceptualising, defining, remodelling and identifying the theory(s) behind it. There is no consensus in the literature on a concise and precise definition of SCM nor its underpinning theory(s). A rigorous theoretical framework has not yet been developed;...

I feel it in my bones! An investigation into the mechanical and structural changes to bone as we age

Hannah McGivern
3MT presented at the 2017 Defence and Security Doctoral Symposium.
Bone biomechanics is concerned with the study of the ailments and performance of our musculoskeletal system. Our knowledge of this field has been propelled forward by those in the automotive industry, who specialise in applied biomechanics and engineering. Their interest in this subject matter stems from the continual need to improve vehicle safety, but our skeletons also provide anthropological records of our lives, and can even...

Overview of Performance of Selected Low-Cost Atmospheric Sensor Nodes in Ghanaian urban areas.

Collins Gameli Hodoli, Frederic Coulon & Iq Mead
The attached dataset is specific to the overview of performance of selected low-cost atmospheric sensor nodes in Ghanaian urban areas.

Overview of Performance of Selected Low-Cost Atmospheric Sensor Nodes in Ghanaian urban areas.

Collins Gameli Hodoli, Frederic Coulon & Iq Mead
The attached dataset is specific to the overview of performance of selected low-cost atmospheric sensor nodes in Ghanaian urban areas.

3D modelling of Ti-6Al-4V linear friction welds.

Anthony McAndrew, Paul Colegrove & Clement Buhr
Experimental data set from the article "3D modelling of Ti-6Al-4V linear friction welds"
Please see the introduction tab in the excel file for further details.

Registration Year

  • 2016
    131
  • 2017
    241
  • 2018
    382
  • 2019
    205
  • 2020
    101

Resource Types

  • Collection
    316
  • Dataset
    281
  • Image
    191
  • Audiovisual
    167
  • Text
    73
  • Other
    16
  • Software
    16