All Outputs (1975)

Experimental investigation of the use of sharp edges for the production of positive ions in field-ionization mass spectrometry (1968)
Journal Article
Blenkinsop, P., Job, B., Brailsford, D. F., Cross, C., & Robertson, A. (1968). Experimental investigation of the use of sharp edges for the production of positive ions in field-ionization mass spectrometry. International journal of mass spectrometry and ion processes, 1(6), 421-434. https://doi.org/10.1016/0020-7381%2868%2985019-3

Various commercial razor blades have been tested for field ionization performance and compared with edges prepared electrochemically from platinum and tungsten foils. The results are correlated with data obtained from electron micrographs of the vari... Read More about Experimental investigation of the use of sharp edges for the production of positive ions in field-ionization mass spectrometry.

Calculation of electric field strengths at a sharp edge (1968)
Journal Article
Brailsford, D. F., & Robertson, A. J. B. (1968). Calculation of electric field strengths at a sharp edge

Sharp edges were first used for field ionisation mass spectrometry by Beckey. Although Cross and Robertson found that etched metal foils were more effective than razor blades for field ionisation, blades are very convenient for determination of field... Read More about Calculation of electric field strengths at a sharp edge.

Response to Call for Evidence for the Review of Online Targeting by the Centre for Data Ethics and Innovation
Other
McAuley, D., Koene, A., & Chen, J. (2019). Response to Call for Evidence for the Review of Online Targeting by the Centre for Data Ethics and Innovation

Response to the Public Consultation on the European Commission’s European Strategy for Data
Other
McAuley, D., Koene, A., & Chen, J. (2020). Response to the Public Consultation on the European Commission’s European Strategy for Data

Horizon Response to the Public Consultation on the European Commission’s White Paper on Artificial Intelligence - A European Approach [2020]
Other
McAuley, D., Koene, A., & Chen, J. Horizon Response to the Public Consultation on the European Commission’s White Paper on Artificial Intelligence - A European Approach [2020]

Response to Consultation on the Government's Regulatory Proposals Regarding Consumer Internet of Things (IoT) Security
Other
McAuley, D., Koene, A., & Chen, J. (2019). Response to Consultation on the Government's Regulatory Proposals Regarding Consumer Internet of Things (IoT) Security

Developing immersive experience at Caistor Roman Town: Final report on AHRC Next Generation of Immersive Experiences Project (2018)
Report
Bowden, W., Brundell, P., Harlow, N., Martin-Jones, A., & Mullen, A. (2018). Developing immersive experience at Caistor Roman Town: Final report on AHRC Next Generation of Immersive Experiences Project (2018). Nottingham: Arts and Humanities Research Council

This case study documents the approach taken to developing and evaluating a mobile app for the Roman town at Venta Icenorum and includes a qualitative summary of the AR technique and evaluation of its effectiveness, for use by other researchers under... Read More about Developing immersive experience at Caistor Roman Town: Final report on AHRC Next Generation of Immersive Experiences Project (2018).

Privacy Preserving Corpus Linguistics: Investigating the Trajectories of Public Health Messaging Online
Report
McClaughlin, E., Nichele, E., Adolphs, S., Barnard, P., Clos, J., Knight, D., …Lang, A. (2022). Privacy Preserving Corpus Linguistics: Investigating the Trajectories of Public Health Messaging Online. University of Nottingham: AHRC/UKRI

The Coronavirus Discourses project supports public health partners Public Health Wales, Public Health England, and NHS Education for Scotland in addressing key challenges that the coronavirus pandemic presents in terms of understanding the flow and i... Read More about Privacy Preserving Corpus Linguistics: Investigating the Trajectories of Public Health Messaging Online.

Adaptive alert throttling for intrusion detection systems
Other
Tedesco, G., & Aickelin, U. (in press). Adaptive alert throttling for intrusion detection systems

Memory implementations : current alternatives
Other
Wilson, W., & Aickelin, U. (in press). Memory implementations : current alternatives

Reducing variance in a crossdocking simulation model using common random numbers and antithetic variates
Conference Proceeding
Adewunmi, A., & Aickelin, U. (in press). Reducing variance in a crossdocking simulation model using common random numbers and antithetic variates.

Personas and storyboards for motivating mobility
Book
Turk, R., Nind, T., Rennick-Egglestone, S., & Axelrod, L. Personas and storyboards for motivating mobility. University of Nottingham

Detecting danger: the Dendritic Cell Algorithm
Book Chapter
Greensmith, J., Aickelin, U., & Cayzer, S. Detecting danger: the Dendritic Cell Algorithm. In Robust intelligent systems. Springer Publishing Company

Self-organizing maps in computer security
Book Chapter
Feyereisl, J., & Aickelin, U. (in press). Self-organizing maps in computer security. In R. D. Hopkins, & W. P. Tokere (Eds.), Self-organizing maps in computer security: intrusion, detection and prevention. Nova Science

Integrating real-time analysis with the dendritic cell algorithm through segmentation
Conference Proceeding
Gu, F., Greensmith, J., & Aickelin, U. (in press). Integrating real-time analysis with the dendritic cell algorithm through segmentation.

As an immune inspired algorithm, the Dendritic Cell Algorithm (DCA) has been applied to a range of problems, particularly in the area of intrusion detection. Ideally, the intrusion detection should be performed in real-time, to continuously detect mi... Read More about Integrating real-time analysis with the dendritic cell algorithm through segmentation.

Cheating for problem solving: a genetic algorithm with social interactions
Conference Proceeding
Lahoz-Beltra, R., Ochoa, G., & Aickelin, U. (in press). Cheating for problem solving: a genetic algorithm with social interactions.

We propose a variation of the standard genetic algorithm that incorporates social interaction between the individuals in the population. Our goal is to understand the evolutionary role of social systems and its possible application as a non-genetic n... Read More about Cheating for problem solving: a genetic algorithm with social interactions.

The effect of baroque music on the PassPoints graphical password
Conference Proceeding
Gao, H., Ren, Z., Chang, X., Liu, X., & Aickelin, U. (in press). The effect of baroque music on the PassPoints graphical password.

Graphical passwords have been demonstrated to be the possible alternatives to traditional alphanumeric passwords. However, they still tend to follow predictable patterns that are easier to attack. The crux of the problem is users’ memory limitations.... Read More about The effect of baroque music on the PassPoints graphical password.

A comparison of non-stationary, type-2 and dual surface fuzzy control
Conference Proceeding
Benatar, N., Aickelin, U., & Garibaldi, J. M. (in press). A comparison of non-stationary, type-2 and dual surface fuzzy control.

Type-1 fuzzy logic has frequently been used in control systems. However this method is sometimes shown to be too restrictive and unable to adapt in the presence of uncertainty. In this paper we compare type-1 fuzzy control with several other fuzzy ap... Read More about A comparison of non-stationary, type-2 and dual surface fuzzy control.

Variance in system dynamics and agent based modelling using the SIR model of infectious diseases
Conference Proceeding
Ahmed, A., Greensmith, J., & Aickelin, U. Variance in system dynamics and agent based modelling using the SIR model of infectious diseases.

Classical deterministic simulations of epidemiological processes, such as those based on System Dynamics, produce a single result based on a fixed set of input parameters with no variance between simulations. Input parameters are subsequently modifie... Read More about Variance in system dynamics and agent based modelling using the SIR model of infectious diseases.

Supervised learning and anti-learning of colorectal cancer classes and survival rates from cellular biology parameters
Conference Proceeding
Roadknight, C., Aickelin, U., Qiu, G., Scholefield, J., & Durrant, L. Supervised learning and anti-learning of colorectal cancer classes and survival rates from cellular biology parameters.

In this paper, we describe a dataset relating to cellular and physical conditions of patients who are operated upon to remove colorectal tumours. This data provides a unique insight into immunological status at the point of tumour removal,tumour cl... Read More about Supervised learning and anti-learning of colorectal cancer classes and survival rates from cellular biology parameters.