1,037 Works

An Introduction to Intelligence Engineering: Operating Beyond the Conventional

Adam Svendsen
Contemporary defence and security enterprise efforts can be viably improved. With an overarching focus on ‘ways’, ‘means’, up and across to realising operational and strategic-ranging ‘ends’, this presentation advances a substantially-structured, multi-scaler ‘Intelligence Engineering’ (IE)-based framework and ‘step-by-step’ toolbox useful for both deployment and employment for a multitude of purposes - essentially whatever is to be accomplished.

As the presentation goes on to reveal, the IE framework can contribute towards helping progress several tasks, such...

Evaluating the potential of domestic fats, oils and greases (FOG) for energy recovery

Thomas Collin, Rachel Cunningham, Raffaella Villa, Jitka MacAdam & Bruce Jefferson
Experimental data collected for the paper titled "Evaluating the potential of domestic fats, oils and greases (FOG) for energy recovery".

Evaluating the potential of domestic fats, oils and greases (FOG) for energy recovery

Thomas Collin, Rachel Cunningham, Raffaella Villa, Jitka MacAdam & Bruce Jefferson
Experimental data collected for the paper titled "Evaluating the potential of domestic fats, oils and greases (FOG) for energy recovery".

Real time detection and characterisation of bioaerosols

Zaheer Nasar, Sean Tyrrel, Frederic Coulon, Sonia Garcia, Cheng Yan & Jiang-Han Tian
Real time detection and characterisation of bioaerosol emissions from wastewater treatment plants (WWTPs)
A novel real-time bioaerosol sensor, Spectral Intensity Bioaerosol Sensor (SIBS), capable of providing fine size and time resolution measurements of resolved fluorescence spectra of single particle was employed at a WWTP and a background site. Additionally, excitation-emission matrix (EEM) of wastewater samples obtained by a spectrofluorometer was compared with SIBS spectra from WWTP.

Real time detection and characterisation of bioaerosols

Zaheer Nasar, Sean Tyrrel, Frederic Coulon, Sonia Garcia, Cheng Yan & Jiang-Han Tian
Real time detection and characterisation of bioaerosol emissions from wastewater treatment plants (WWTPs)
A novel real-time bioaerosol sensor, Spectral Intensity Bioaerosol Sensor (SIBS), capable of providing fine size and time resolution measurements of resolved fluorescence spectra of single particle was employed at a WWTP and a background site. Additionally, excitation-emission matrix (EEM) of wastewater samples obtained by a spectrofluorometer was compared with SIBS spectra from WWTP.

Age-related trends in the trabecular micro-architecture of the medial clavicle: Is it of use in forensic science?

Hannah McGivern, Charlene Greenwood, Nicholas Marquez-Grant, Elena F. Kranioti & Peter Zioupos
The mechanical and structural properties of bone are known to change significantly with age. Within forensic and archaeological investigations, the medial end of the clavicle is typically used for estimating the age-at-death of an unknown individual. Although, this region of the skeleton is of interest to forensic and clinical domains, alterations beyond the macro-scale have not been fully explored. For this study, non-destructive micro-computed tomography (µ-CT) was employed to characterise structural alterations to the cancellous...

Age-related trends in the trabecular micro-architecture of the medial clavicle: Is it of use in forensic science?

Hannah McGivern, Charlene Greenwood, Nicholas Marquez-Grant, Elena F. Kranioti & Peter Zioupos
The mechanical and structural properties of bone are known to change significantly with age. Within forensic and archaeological investigations, the medial end of the clavicle is typically used for estimating the age-at-death of an unknown individual. Although, this region of the skeleton is of interest to forensic and clinical domains, alterations beyond the macro-scale have not been fully explored. For this study, non-destructive micro-computed tomography (µ-CT) was employed to characterise structural alterations to the cancellous...

Supplementary data on waste generated from processing palm oil in Nigeria

Kelechi Anyaoha, Ruben Sakrabani, Kumar Patchigolla & Abdul Mouazen
Supplementary data on waste generated from processing palm oil in Nigeria.

Survey responses on security of health data

David Johnston
Responses to a survey "how secure is your health data" on medical information.

Collected as part of Information Capability Management MSc research in July 2018: An assessment of blockchain technology for electronic healthcare records in the Ministry of Defence for providing cybersecurity resilience.
Contact: dmpjohnston@hotmail.com.

Survey responses on security of health data

David Johnston
Responses to a survey "how secure is your health data" on medical information.

Collected as part of Information Capability Management MSc research in July 2018: An assessment of blockchain technology for electronic healthcare records in the Ministry of Defence for providing cybersecurity resilience.
Contact: dmpjohnston@hotmail.com.

Pulsed and Vibro Thermographic results

Shakeb Deane, Clemente Ibarra-Castanedo, Nico Avdelidis, Antonios Tsourdos, Hai Zhang, Xavier P. V. Maldague, Alex Williamson, Timothy MacKley, Hamed Yazdani Nezhad & Maxwell Davis
The CFRP specimens were manufactured and purposely damaged via impact, in the Cranfield composite centre. Sample A4 was manufactured via manual woven, and the other two samples were unidirectional. The composites consist of laying up pre-preg piles to form a laminate stack, the material is then autoclave processed at 180oC and 7 bars for a few hours suitable for the thermoset resin cure, this is according to the supplier’s specification (Hexcel). There were three specimens,...

Pulsed and Vibro Thermographic results

Shakeb Deane, Clemente Ibarra-Castanedo, Nico Avdelidis, Antonios Tsourdos, Hai Zhang, Xavier P. V. Maldague, Alex Williamson, Timothy MacKley, Hamed Yazdani Nezhad & Maxwell Davis
The CFRP specimens were manufactured and purposely damaged via impact, in the Cranfield composite centre. Sample A4 was manufactured via manual woven, and the other two samples were unidirectional. The composites consist of laying up pre-preg piles to form a laminate stack, the material is then autoclave processed at 180oC and 7 bars for a few hours suitable for the thermoset resin cure, this is according to the supplier’s specification (Hexcel). There were three specimens,...

Monte Carlo simulation results for full finger models based on ultrasound image data

Akhil Kallepalli, David James & Mark Richardson
Monte Carlo simulations were performed using Virtual Tissue Simulator (VTS) and Monte Carlo Command Line (MCCL) tools. The target was a tissue model specific to individual participants, including all anatomical components in a finger. The thickness and depth measurements were ascertained using an 18 MHz ultrasound probe. This implementation is proposed as a low-cost and novel method for patient-specific photo-therapy.

The optical models of 12 participants are assessed at four wavelengths of interest. The optical...

Monte Carlo simulation results for anaemia detection in the skin

Akhil Kallepalli & David James
This research will be/was presented at SPIE Photonics West 2020 (February 2020) with the article titled: Quantification and influence of skin chromophores for remote detection of anemic conditions.
Monte Carlo simulations were performed using Virtual Tissue Simulator (VTS) and Monte Carlo Command Line (MCCL) tools. The target was a two-layer model of the epidermis and dermis layers of the skin.
The optical attenuation properties quantifying the absorption and scattering in these layers are set according to...

Monte Carlo simulation results for anaemia detection in the skin

Akhil Kallepalli & David James
This research will be/was presented at SPIE Photonics West 2020 (February 2020) with the article titled: Quantification and influence of skin chromophores for remote detection of anemic conditions.
Monte Carlo simulations were performed using Virtual Tissue Simulator (VTS) and Monte Carlo Command Line (MCCL) tools. The target was a two-layer model of the epidermis and dermis layers of the skin.
The optical attenuation properties quantifying the absorption and scattering in these layers are set according to...

Monte Carlo simulation results for anaemia detection in the skin

Akhil Kallepalli & David James
This research will be/was presented at SPIE Photonics West 2020 (February 2020) with the article titled: Quantification and influence of skin chromophores for remote detection of anemic conditions.
Monte Carlo simulations were performed using Virtual Tissue Simulator (VTS) and Monte Carlo Command Line (MCCL) tools. The target was a two-layer model of the epidermis and dermis layers of the skin.
The optical attenuation properties quantifying the absorption and scattering in these layers are set according to...

Monte Carlo simulation results for full finger models based on ultrasound image data

Akhil Kallepalli, David James & Mark Richardson
Monte Carlo simulations were performed using Virtual Tissue Simulator (VTS) and Monte Carlo Command Line (MCCL) tools. The target was a tissue model specific to individual participants, including all anatomical components in a finger. The thickness and depth measurements were ascertained using an 18 MHz ultrasound probe. This implementation is proposed as a low-cost and novel method for patient-specific photo-therapy.

The optical models of 12 participants are assessed at four wavelengths of interest. The optical...

Rocket Motors and Propellants (RMP) research collaboration with 'The Falcon Project'

Philip Gill
Industrial visit to the 'Falcon project' supporting PhD and MSc learning and research into the field of Explosives and Rocket Propellants.

Rocket Motors and Propellants (RMP) research collaboration with 'The Falcon Project'

Philip Gill
Industrial visit to the 'Falcon project' supporting PhD and MSc learning and research into the field of Explosives and Rocket Propellants.

Deep Learning Techniques for Missile Seeker Automatic Target Recognition

Samuel Westlake
Modern infrared missiles use sophisticated computer vision techniques, in conjunction with imaging seekers, to automatically detect and localise targets. However, simulations show that soft-kill countermeasures remain an effective defence against such systems. This research explores the feasibility of deep learning algorithms for Automatic Target Recognition (ATR) and aim to significantly improve seeker performance in the presence of soft-kill countermeasures and clutter. State-of-the-art neural network architectures were benchmarked using both simulated and real-world infrared data. Their...

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,...

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,...

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,...

Deep Learning Techniques for Missile Seeker Automatic Target Recognition

Samuel Westlake
Modern infrared missiles use sophisticated computer vision techniques, in conjunction with imaging seekers, to automatically detect and localise targets. However, simulations show that soft-kill countermeasures remain an effective defence against such systems. This research explores the feasibility of deep learning algorithms for Automatic Target Recognition (ATR) and aim to significantly improve seeker performance in the presence of soft-kill countermeasures and clutter. State-of-the-art neural network architectures were benchmarked using both simulated and real-world infrared data. Their...

Deep Learning Techniques for Missile Seeker Automatic Target Recognition

Samuel Westlake
Modern infrared missiles use sophisticated computer vision techniques, in conjunction with imaging seekers, to automatically detect and localise targets. However, simulations show that soft-kill countermeasures remain an effective defence against such systems. This research explores the feasibility of deep learning algorithms for Automatic Target Recognition (ATR) and aim to significantly improve seeker performance in the presence of soft-kill countermeasures and clutter. State-of-the-art neural network architectures were benchmarked using both simulated and real-world infrared data. Their...

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