Search results for: Gary Lamont

Items from 1 to 8 out of 8 results

article

Clinical epidemiology of COVID‐19 in people of black ethnicity living with HIV in the UK

Zoe Ottaway, Lucy Campbell, Laura R. Cechin, Nisha Patel, more

Objectives To describe the clinical epidemiology of COVID‐19 in people of black ethnicity living with HIV in the UK. Methods We investigated the incidence and factors associated with COVID‐19 in a previously established and well‐characterized cohort of black people with HIV. Primary outcomes were COVID‐19 acquisition and severe COVID‐19 disease (requiring hospitalization and/or resulting in death)...

article

Resource management construct for an adaptive DBF electronic support receiver

Jeremy Stringer, Geoffrey Akers, Gary Lamont

IEEE Transactions on Aerospace and Electronic Systems > 2015 > 51 > 1 > 203 - 216

This paper provides a resource management (RM) framework for electronic support (ES) receivers. The resource manager estimates the number of interference signals and the bandwidths of each interference signal in the electromagnetic (EM) environment. Environment estimates are used to select an appropriate adaptive digital beamforming (DBF) algorithm from a predefined look-up table (LUT) of adaptive...

chapter

A signal disambiguation algorithm for use in multi-beam receivers

Jeremy Stringer, Geoffrey Akers, Gary Lamont

2014 IEEE Workshop on Statistical Signal Processing (SSP) > 53 - 56

2014 IEEE Statistical Signal Processing Workshop (SSP)

Receiver systems designed to simultaneously act on multiple wideband signals of interest must be able to differentiate between the different wideband signals of interest in the electromagnetic environment. Separation of interference sources from signals of interest relies on a system having either spatial or spectral diversity to detect and remove the interference sources. If interference sources...

chapter

Radar phase-coded waveform design using MOEAs

Jeremy Stringer, Gary Lamont, Geoffrey Akers

2012 IEEE Congress on Evolutionary Computation > 1 - 8

2012 IEEE Congress on Evolutionary Computation (CEC)

This study applies the NSGA-II, SPEA2, and MOEA/D Multi-Objective Evolutionary Algorithms (MOEAs) to the radar phase coded waveform design problem. The MOEAs are used to generate a series of radar waveform phase codes that have excellent range resolution and Doppler resolution capabilities, while maintaining excellent autocorrelation properties. The study compares the ability of NSGA-II, SPEA2, and...

chapter

Multi-Objective Evolutionary Algorithm determined radar phase codes

Jeremy Stringer, Gary Lamont, Geoffrey Akers

2012 IEEE Radar Conference > 161 - 166

2012 IEEE Radar Conference (RadarCon)

Solving complex real world Multi-Objective Optimization problems is the forte of Multi-Objective Evolutionary Algorithms (MOEA). Such algorithms have been part of many scientific and engineering endeavors. This study applies the NSGA-II and SPEA2 MOEAs to the radar phase coded waveform design problem. The MOEAs are used to generate a series of radar waveform phase codes that have excellent range resolution...

chapter

GA Directed Self-Organized Search and Attack UAV Swarms

Ian Price, Gary Lamont

Proceedings of the 2006 Winter Simulation Conference > 1307 - 1315

2006 Winter Simulation Conference

Self-organization offers many potential benefits to autonomous multi-UAV systems. This research investigates the use of a self-organization (SO) framework for evolving UAV swarm behavior. This SO framework is used to design a UAV swarm simulation with evolving behavior. The swarm behavior is then evolved using a genetic algorithm (GA) to successfully locate and destroy retaliating stationary targets...

article

The role of artificial intelligence in computer-aided design of control systems

Gary Lamont, Mark Schiller

00026th IEEE Conference on Decision and Control > 1987 > 26 > 1960 - 1965

26th IEEE Conference on Decision and Control

Contemporary computer-aided design (CAD) programs incorporate excellent functional tools but can be enhanced through Artificial Intelligence (AI), particularly expert systems. Expert systems(ES) for design, however, must incorporate "design process models" explicitly. To study the various phases of such a development, a specific expert system has been generated to aid the control engineer...

article

Comparisons of Sensitivity Improvement Techniques for Linear Optimal Control Systems

Gary Lamont, Stephen Kahne

IEEE Transactions on Aerospace and Electronic Systems > 1969 > AES-5 > 2 > 142 - 151

It is well known that there are several ways to define a sensitivity function in the time domain. The results are reported of a study in which these definitions are compared. Controllers designed on the basis of these sensitivity functions are related to each other and conclusions are drawn about their usefulness in control system design.

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INFONA - science communication portal

Search results for: Gary Lamont

Clinical epidemiology of COVID‐19 in people of black ethnicity living with HIV in the UK

Resource management construct for an adaptive DBF electronic support receiver

A signal disambiguation algorithm for use in multi-beam receivers

Radar phase-coded waveform design using MOEAs

Multi-Objective Evolutionary Algorithm determined radar phase codes

GA Directed Self-Organized Search and Attack UAV Swarms

The role of artificial intelligence in computer-aided design of control systems

Comparisons of Sensitivity Improvement Techniques for Linear Optimal Control Systems

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INFONA - science communication portal

Search results for: Gary Lamont

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