Browsing by Author "Goodyer, E. N."
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Item Open Access 3D non-invasive inspection of the skin lesions by close-range and low-cost photogrammetric techniques(International Society for Stereology & Image Analysis, 2017) Orun, A.; Goodyer, E. N.; Smith, GeoffIn dermatology, one of the most common causes of skin abnormality is an unusual change in skin lesion structure which may exhibit very subtle physical deformation of its 3D shape. However the geometrical sensitivity of current cost-effective inspection and measurement methods may not be sufficient to detect such small progressive changes in skin lesion structure at micro-scale. Our proposed method could provide a low-cost, non-invasive solution by a compact system solution to overcome these shortcomings by using close-range photogrammetric imaging techniques to build a 3D surface model for a continuous observation of subtle changes in skin lesions and other features.Item Open Access Adapting Traffic Simulation for Traffic Management: A Neural Network Approach(2013-10) Passow, Benjamin N.; Elizondo, David; Chiclana, Francisco; Witheridge, S.; Goodyer, E. N.Static models and simulations are commonly used in urban traffic management but none feature a dynamic element for near real-time traffic control. This work presents an artificial neural network forecaster methodology applied to traffic flow condition prediction. The spatially distributed architecture uses life-long learning with a novel adaptive Artificial Neural Network based filter to detect and remove outliers from training data. The system has been designed to support traffic engineers in their decision making to react to traffic conditions before they get out of control. We performed experiments using feed-forward backpropagation, cascade-forward back-propagation, radial basis, and generalized regression Artificial Neural Networks for this purpose. Test results on actual data collected from the city of Leicester, UK, confirm our approach to deliver suitable forecasts.Item Open Access The Anisotropic Elasticity of the Human Vocal Fold(SciTechnol, 2016-04-17) Goodyer, E. N.; Gunderson, M.; Tateya, C.; Tataya, T.; Dailey, S. M.Objective: To verify the anisotropic nature of the vocal folds by reproducing an experiment led by Rholfs that measured vocal fold elasticity in the transverse and longitudinal directions. To present a physiological explanation of the measured phenomena using immunochemical results. Methods: 6 cadaveric human excised larynges were hemi-sectioned in the mid-sagittal plane exposing the vocal folds, and orthogonal measurements of tension made at 3 equally spaced points. Immunohistochemistry carried out by Ichiro Tateya was used to visualise collagens and elastins in the deep layer of the lamina propria. Results: The LSR results indicate that the measured elasticity of the vocal folds are highly anisotropic. The immunohistochemistry results show that there is a strong alignment of collagens and elastins along the longitudinal axis of human vocal folds. Conclusion: The measured anisotropic behaviour is due to the alignment of collagens & elastins in the lamina propriaItem Metadata only The anisotropic nature of the human vocal fold: an ex vivo study(European Archives of Oto-Rhino-Laryngology, 2013-02) Rohlfs, Anna-Katharina; Goodyer, E. N.; Clauditz, Till; Hess, Markus; Kob, Malte; Koops, Susan; Püschel, Klaus; Roemer, Frank W.; Müller, F.The purpose of this study was to measure the relationship between the shear elastic properties of vocal fold with respect to the direction of applied stress. There is extensive published material that quantifies the shear viscoelastic properties of the vocal fold, but as much of these data were obtained using rotating parallel plate rheometers, which are unable to resolve out difference of the shear elastic behaviour with respect to direction, there is very little data that indicates anisotropic behaviour. To overcome this gap in knowledge, the team devised an apparatus that is capable of applying a shear stress in a known direction. A series of measurements were taken at the mid-membranous position, in the transverse and longitudinal directions. Point-specific measurements were performed using fourteen human cadaver excised larynges, which were hemi-sectioned to expose the vocal fold. An extremely low sinusoidal shear force of 1 g was applied tangentially to the membrane surface in both the longitudinal and transverse direction, and the resultant shear strain was measured. With the probe applied to the intact vocal fold, the average ratio of the elasticity in the transverse with respect to the longitudinal direction was 0.55. Further investigation using histological staining of collagens in the lamina propria indicates that there is a visible difference in the general alignment of collagen fibres when comparing the coronal and the sagittal sections. Our conclusion is that there is a quantifiable difference between the shear elastic response of the lamina propria in the longitudinal and transverse directions, and that this could be explained by the difference in alignment of collagen fibres within the lamina propria.Item Metadata only The anisotropic nature of the visco-elastic properties of the human vocal fold(2010) Goodyer, E. N.; Dailey, S. H.; Gunderson, M.Item Metadata only The anisotropic nature of the vocal fold.(2007) Licht, A. K.; Goodyer, E. N.; Müller, F.; Kobler, James B.; Hess, MarkusItem Embargo Application of Artificial Neural Network and Support Vector Regression in Cognitive Radio Networks for RF Power Prediction Using Compact Differential Evolution Algorithm(IEEE, 2015) Iliya, Sunday; Gongora, Mario Augusto; Goodyer, E. N.; Gow, J. A.; Shell, JethroCognitive radio (CR) technology has emerged as a promising solution to many wireless communication problems including spectrum scarcity and underutilization. To enhance the selection of channel with less noise among the white spaces (idle channels), the a priory knowledge of Radio Frequency (RF) power is very important. Computational Intelligence (CI) techniques cans be applied to these scenarios to predict the required RF power in the available channels to achieve optimum Quality of Service (QoS). In this paper, we developed a time domain based optimized Artificial Neural Network (ANN) and Support Vector Regression (SVR) models for the prediction of real world RF power within the GSM 900, Very High Frequency (VHF) and Ultra High Frequency (UHF) FM and TV bands. Sensitivity analysis was used to reduce the input vector of the prediction models. The inputs of the ANN and SVR consist of only time domain data and past RF power without using any RF power related parameters, thus forming a nonlinear time series prediction model. The application of the models produced was found to increase the robustness of CR applications, specifically where the CR had no prior knowledge of the RF power related parameters such as signal to noise ratio, bandwidth and bit error rate. Since CR are embedded communication devices with memory constrain limitation, the models used, implemented a novel and innovative initial weight optimization of the ANN’s through the use of compact differential evolutionary (cDE) algorithm variants which are memory efficient. This was found to enhance the accuracy and generalization of the ANN modelItem Metadata only Application Of Low Power Microtechnology To Process Instrumentation: Some Case Examples(Low Power Microprocessor Systems IEE Coloqium, 1983) Goodyer, E. N.This paper, using some product examples in the field of process instrumentation, seeks to examine some of the problems that can arise when applying CMOS technology, and offers some practical solutions to these problems. Briefly mentioned are some of the reasons why CMOS is a desirable technology for process instrumentation applications. The specific problems discussed are speed, power supply spikes and 'latch up'. The overall conclusion is that CMOS technology can be successfully applied in process instrumentation, but the designer who is more familiar with NMOS and TTL devices should take into account the different characteristics of CMOS.Item Metadata only Biomechanical Flow Amplification Arising From the Variable Deformation of the Subglottic Mucosa(Elsevier, 2017-04-19) Goodyer, E. N.; Muller, Frank; Hess, Markus; Kandan, Karthikeyan; Farukh, FarukhItem Open Access The biomechanical properties of the human vocal fold.(De Montfort University, 2008) Goodyer, E. N.Item Metadata only A comparative study of the INTEL 8086, ZILOG Z8000 and MOTOROLA MC68000(Sira Ltd, 1982-03) Goodyer, E. N.; Neylan, P.An comparative study of the Motorola 68000, Zilog Z8000 and Intel 8086Item Metadata only Computational Intelligence and Its role in enhancing sustainable transport systems(2011) Goodyer, E. N.; Ahmadi, Samad; Chiclana, Francisco; Elizondo, David; Gongora, Mario Augusto; Passow, Benjamin N.; Yang, YingjieItem Metadata only Computational intelligence and its role in enhancing sustainable transport systems transportation infrastructure & surface analysis ECU design & development, including exploitation of GNSS & telematics The Cyber Security Centre (CSC)(2012) Goodyer, E. N.; Ahmadi, Samad; Chiclana, Francisco; Collop, Andy; Elizondo, David; Gongora, Mario Augusto; Passow, Benjamin N.; Watson, Tim; Yang, YingjieItem Open Access Computational Intelligence to Improve Air Quality and Traffic Management(THE ISSUE / NEREUS, 2013) Passow, Benjamin N.; Edwards, Clare; Elizondo, David; Goodyer, E. N.; Leigh, Roland James; Wells, AlanComputational Intelligence (CI) techniques are strong and efficient and capable of enhancing current traffic and air quality management systems.Item Open Access Conic deformation of the subglottic mucosa and its impact on the aerodynamics of the airflow over the vocal folds(PEVOC 12, 2017-08-30) Goodyer, E. N.; Muller, F.; Hess, M.; Kandan, Karthikeyan; Farukh, FarukhObjective: This study mapped the variation in tissue elasticity of the subglottic mucosa, applied that data to provide initial models of the likely deformation of the mucosa during the myoelastic cycle, and hypothesised as to the impact on the process of phonation. Study Design: 6 donor human larynges were dissected along the sagittal plane to expose the vocal folds and subglottic mucosa. A Linear Skin Rheometer was used to apply a controlled shear force, and the resultant displacement was measured. This data provided a measure of the stress/strain characteristics of the tissue at each anatomical point. A series of measurements were taken at 2mm interval inferior of the vocal folds, and the change in elasticity determined. Results: It was found that the elasticity of the mucosa in the subglottic region increased linearly with distance from the vocal folds in all 12 samples. A simple deformation model indicated that under low pressure conditions the subglottic mucosa will deform to form a cone, which could result in a higher velocity thus amplifying the low pressure effect resulting from the Venturi principle, and could assist in maintaining laminar flow. Conclusions: This study indicated that the deformation of the subglottic mucosa could play a significant role in the delivery of a low pressure air flow over the vocal folds.Item Metadata only Control of vocal fold cover stiffness by laryngeal muscles(Wiley, 2009) Chhetri, D. K.; Berke, G. S.; Lotfizadeh, A.; Goodyer, E. N.Item Metadata only Control of vocal fold cover stiffness by laryngeal muscles.(2008) Chhetri, D. K.; Berke, G. S.; Lotfizadeh, A.; Goodyer, E. N.Item Metadata only Delivery of intelligent transport systems through the application of computational intelligence.(2011) Goodyer, E. N.; Ahmadi, Samad; Chiclana, Francisco; Elizondo, David; Gongora, Mario Augusto; Passow, Benjamin N.; Yang, YingjieItem Metadata only Devices and methods on analysis of biomechanical properties of Laryngeal tissue and substitute materials.(Bentham, 2011) Goodyer, E. N.; Jiang, J. J.; Devine, E. E.; Sutor, A.; Rupitsch, S.; Zorner, S.; Stingl, M.; Schmidt, B.Item Metadata only Distributed Integrated Care Services and Systems(2012) Moore, Philip R.; Wong, Chi Biu; Chen, X.; Goodyer, E. N.