Evaluation of the Importance of Time-Frequency Contributions to Speech Intelligibility in Noise

Recent studies on binary masking techniques make the assumption that each time-frequency (T-F) unit contributes an equal amount to the overall intelligibility of speech. The present study demonstrated that the importance of each T-F unit to speech intelligibility varies in accordance with speech content. Specifically, T-F units are categorized into two classes, speech-present T-F units and speech-absent T-F units. Results indicate that the importance of each speech-present T-F unit to speech intelligibility is highly related to the loudness of its target component, while the importance of each speech-absent T-F unit varies according to the loudness of its masker component. Two types of mask errors are also considered, which include miss and false alarm errors. Consistent with previous work, false alarm errors are shown to be more harmful to speech intelligibility than miss errors when the mixture signal-to-noise ratio (SNR) is below 0 dB. However, the relative importance between the two types of error is conditioned on the SNR level of the input speech signal. Based on these observations, a mask-based objective measure, the loudness weighted hit-false, is proposed for predicting speech intelligibility. The proposed objective measure shows significantly higher correlation with intelligibility compared to two existing mask-based objective measures

An assessment of the autonomous integrity monitoring performance of a combined GPS/Galileo Satellite Navigation System, and its impact on the case for the development of Galileo

In 1999 Europe, through the European Commission and the European Space Agency, began detailed definition of a second generation Global Navigation Satellite System (GNSS). This GNSS development programme, known as “Galileo”, was intended to both complement and compete against the existing US Global Positioning System (GPS). Unlike GPS, Galileo is intended to be privately financed, following the initial development investment from the EC and ESA, which implies that Galileo should provide some revenue-earning services. From its earliest inception, the basis of these services has been assumed to be through the provision of Signal Integrity through an Integrity Flag broadcast through the Galileo system– a service which GPS cannot provide without some external system augmentation. This thesis undertakes a critical evaluation of the value of this integrity system in Galileo. This thesis has two parts. The first demonstrates that the conditions required to attract adequate private finance to the Galileo programme are incompatible with the system architecture derived from the early Galileo system studies and taken forward into the system early deployment phase, which includes an Integrity system within Galileo. The second part of this thesis aims to demonstrate that receivers which can combine the signals from GPS and Galileo may offer a free Integrity service which meet the needs of the majority of users, possibly up to the standards required for aviation precision approach. A novel Receiver Autonomous Integrity Monitoring (RAIM) technique is described, using an Errors in Variables/Total Least Squares approach to the detection of inconsistencies in an over-determined set of GNSS signal measurements. The mathematical basis for this technique is presented, along with results which compare the simulated performance of receivers using this algorithm against the expected performance of Galileo’s internal integrity determination system.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

The polymycovirus-mediated growth enhancement of the entomopathogenic fungus Beauveria bassiana is dependent on carbon and nitrogen metabolism

© 2021 Filippou, Diss, Daudu, Coutts and Kotta-Loizou. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). https://creativecommons.org/licenses/by/4.0/Polymycoviridae is a growing family of mycoviruses whose members typically have non-conventional capsids and multi-segmented, double-stranded (ds) RNA genomes. Beauveria bassiana polymycovirus (BbPmV) 1 is known to enhance the growth and virulence of its fungal host, the entomopathogenic ascomycete and popular biological control agent B. bassiana. Here we report the complete sequence of BbPmV-3, which has six genomic dsRNA segments. Phylogenetic analysis of RNA-dependent RNA polymerase (RdRp) protein sequences revealed that BbPmV-3 is closely related to the partially sequenced BbPmV-2 but not BbPmV-1. Nevertheless, both BbPmV-3 and BbPmV-1 have similar effects on their respective host isolates ATHUM 4946 and EABb 92/11-Dm, affecting pigmentation, sporulation, and radial growth. Production of conidia and radial growth are significantly enhanced in virus-infected isolates as compared to virus-free isogenic lines on Czapek-Dox complete and minimal media that contain sucrose and sodium nitrate. However, this polymycovirus-mediated effect on growth is dependent on the carbon and nitrogen sources available to the host fungus. Both BbPmV-3 and BbPmV-1 increase growth of ATHUM 4946 and EABb 92/11-Dm when sucrose is replaced by lactose, trehalose, glucose, or glycerol, while the effect is reversed on maltose and fructose. Similarly, both BbPmV-3 and BbPmV-1 decrease growth of ATHUM 4946 and EABb 92/11-Dm when sodium nitrate is replaced by sodium nitrite, potassium nitrate, or ammonium nitrate. In conclusion, the effects of polymycoviruses on B. bassiana are at least partially mediated via its metabolic pathways.Peer reviewedFinal Published versio

Design of a compact, fully-autonomous 433 MHz tunable antenna for wearable wireless sensor applications

The authors present the design of a tunable 433 MHz antenna that is tailored for wearable wireless sensor applications. This study first presents a detailed analysis of the measured impedance characteristics of a chosen antenna under test (AUT) in varying proximity to a human test subject. Instead of limiting the analysis to the head and hand only, this analysis measures the AUT impedance at varying distances from 11 different body positions. A novel antenna equivalent circuit model is then developed that enables both the free-space and total on-body AUT impedance variation to be rapidly computed using a circuit simulator instead of the requirement for computationally intensive finite-element methods for example. The design and characterisation of a tunable matching network that enables AUT impedance matching for 11 different positions on the human body is then outlined. Finally, a fully-autonomous 433 MHz tunable antenna is demonstrated. The antenna occupies a small printed circuit board area of 51 × 28 mm and is printed on standard FR-4 material with the tuner completely integrated into the antenna itself. Prototype measurements show an improvement of 3.9 dB in power delivery to the antenna for a load voltage standing wave ratio of 17:1, with a maximum matching loss of 0.84 dB and S11 (−10 dB) ≥ 18 MHz for all load conditions

1119-99 Immunoglobulin A anticardiolipin antibodies are markers of the extent of daily life ischemia in patients with stable angina

Rising population numbers place ever increasing demands on energy resources. A large percentage of the worldwide energy production is reserved for the generation of electricity and a significant portion of the electrical energy generation is used for illumination purposes. At the same time, people demand brighter light sources that provide better light quality. The luminaire of today is not just a simple lamp, but a complex, intelligent piece of technology designed for a specific purpose. This doctoral dissertation aims to provide a link between the theoretical universe surrounding the physics of electromagnetic radiation and the practical illumination world. A theoretical framework presents the physical properties of light and connects, through the human visual system, to a number of perceptual models. Based on these perceptual models, the colourimetric qualities of an illumination spectrum are analysed and a theoretical framework that aims to optimise the balance between colour fidelity and energy efficiency is proposed. The result of this optimisation is a spectrum that needs to be implemented into a light source. Recent advancements in semiconductor technology led to the development of highly efficient light emitting diodes. The monochromatic nature of these light sources offers the possibility of creating a spectrally tuneable luminaire that is able to reproduce these optimised illumination spectra. A fully integrated spectrally tuneable light engine combines knowledge on characterising and driving LEDs, optical design and thermal management. Each group of monochromatic LEDs needs a variable current source that ensures predictable behaviour regardless of their dimming level or temperature. An advanced optical solution enables efficient light extraction from the LEDs, provides excellent luminance and chroma homogenisation and, finally, delivers a suitable beam pattern for the intended illumination application. Proper thermal management establishes sufficient heat extraction to guarantee low semiconductor temperatures. Finally, the LED light engines created during this doctoral research are incorporated into three spectrally tuneable illumination devices, each designed for a specific purpose. A set of spectrally tuneable downlights installed in the laboratories of the lighting group of the Catalonia Institute for Energy Research (IREC) in Barcelona, Spain and the department of neuroscience of the University of Newcastle in the United Kingdom serves as a valuable tool for experiments that evaluate both physical and psychovisual properties of selected illumination spectra. A compact spotlight, used during the "Making Colour" exhibition of the National Gallery in London, is optimised to provide a set of specific illumination spectra to illuminate art reproductions. Lastly, a high power luminaire was designed to generate specialised spectra to irradiate greenhouse plants, steering their morphology and the production of plant-specific compounds.El incremento de población mundial en los últimos años implica necesariamente un incremento en la demanda energética global. Un alto porcentaje de la energía producida globalmente es utilizada para iluminar los diferentes espacios. Al mismo tiempo, los usuarios reclaman cada vez fuentes de luz más potentes y entornos más iluminados y con mayor calidad de luz. Las luminarias actuales no son simplemente lámparas, sino sistemas complejos e inteligentes diseñados con propósitos específicos. Esta tesis doctoral pretende unir dos espacios que normalmente son abordados de manera separada: por un lado, el entorno teórico de la radiación visible y sus propiedades colorimétricas, y por otro lado la luminotecnia aplicada. En el ámbito teórico, se han tratado con las propiedades físicas de la luz, estableciendo un puente a través de la visión humana con diferentes modelos de percepción visual. En base a estos modelos, se han analizado las propiedades colorimétricas de los espectros de iluminación estudiados y se propone un marco teórico de optimización entre fidelidad de color y eficiencia energética. Los resultados de esta optimización se han implementado también en una fuente de luz de espectro modulable real. Recientemente, el mercado LED está alcanzando valores altísimos en cuanto a eficacias lumínicas. Sin embargo, el crecimiento del mercado pasa por mejorar otros aspectos que garanticen el progreso de la tecnología. La naturaleza esencialmente monocromática de los LEDs de estado sólido ofrece la posibilidad de crear fuentes de luz de espectro sintonizable mediante la composición espectral o adición cromática de varios tipos diferentes de LED. Para el diseño de una de estas fuentes de luz se requieren conocimientos en cuanto a la caracterización y energizado de los LEDs, diseño óptico y diseño térmico. Cada clúster de LEDs de características espectrales similares necesita una fuente de corriente variable que garantice unos valores estables y que no dependan de otros parámetros como la potencia de entrada o la temperatura. Se necesitan también soluciones ópticas avanzadas para conseguir no solo una alta eficiencia de extracción de la radiación sino también una mezcla homogénea de los colores a la salida así como una distribución angular específicamente diseñada para cada aplicación. Por otro lado, se precisa de un manejo térmico óptimo que permita la extracción de calor hacia elementos activos o pasivos para que así la temperatura de la unión de los LEDs sea óptima. Finalmente, los módulos LED creados durante esta tesis doctoral se han incorporado en tres luminarias distintas representativas de tres campos de aplicación independientes. La primera aplicación implicó el diseño y la incorporación de los módulos LED a un grupo de downlights que se instalaron en una habitación del Instituto de Investigación en Energía de Cataluña y en el Instituto de Neurociencia de la Universidad de Newcastle (UK), constituyendo dos instalaciones únicas para la investigación de los aspectos físicos y físico-visuales de diferentes espectros de iluminación. Para la segunda aplicación, se diseñaron un conjunto de luminarias tipo spotlight que fueron instaladas y demostradas en la exhibición "Making Colour" que tuvo lugar en la National Gallery (Londres). En la misma, se mostraron las propiedades de distintos espectros de iluminación. Finalmente, se ha realizado también una luminaria de alta potencia optimizada para la generación de espectros de interés en horticultura, habiéndose demostrado que es posible cambiar la morfología de los cultivos estudiados e incentivar la producción de ciertas vitaminas y compuesto

Reconstruction of Exposure to m-Xylene from Human Biomonitoring Data Using PBPK Modelling, Bayesian Inference, and Markov Chain Monte Carlo Simulation

There are numerous biomonitoring programs, both recent and ongoing, to evaluate environmental exposure of humans to chemicals. Due to the lack of exposure and kinetic data, the correlation of biomarker levels with exposure concentrations leads to difficulty in utilizing biomonitoring data for biological guidance values. Exposure reconstruction or reverse dosimetry is the retrospective interpretation of external exposure consistent with biomonitoring data. We investigated the integration of physiologically based pharmacokinetic modelling, global sensitivity analysis, Bayesian inference, and Markov chain Monte Carlo simulation to obtain a population estimate of inhalation exposure to m-xylene. We used exhaled breath and venous blood m-xylene and urinary 3-methylhippuric acid measurements from a controlled human volunteer study in order to evaluate the ability of our computational framework to predict known inhalation exposures. We also investigated the importance of model structure and dimensionality with respect to its ability to reconstruct exposure

A novel and miniaturized 433/868MHz multi-band wireless sensor platform for body sensor network applications

Body Sensor Network (BSN) technology is seeing a rapid emergence in application areas such as health, fitness and sports monitoring. Current BSN wireless sensors typically operate on a single frequency band (e.g. utilizing the IEEE 802.15.4 standard that operates at 2.45GHz) employing a single radio transceiver for wireless communications. This allows a simple wireless architecture to be realized with low cost and power consumption. However, network congestion/failure can create potential issues in terms of reliability of data transfer, quality-of-service (QOS) and data throughput for the sensor. These issues can be especially critical in healthcare monitoring applications where data availability and integrity is crucial. The addition of more than one radio has the potential to address some of the above issues. For example, multi-radio implementations can allow access to more than one network, providing increased coverage and data processing as well as improved interoperability between networks. A small number of multi-radio wireless sensor solutions exist at present but require the use of more than one radio transceiver devices to achieve multi-band operation. This paper presents the design of a novel prototype multi-radio hardware platform that uses a single radio transceiver. The proposed design allows multi-band operation in the 433/868MHz ISM bands and this, together with its low complexity and small form factor, make it suitable for a wide range of BSN applications

Identification and sequence determination of a new chrysovirus infecting the phytopathogenic fungus Dothistroma septosporum

© The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License, to view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.A new double-stranded (ds) RNA mycovirus has been identified in isolate Ds752-1 of the phytopathogenic fungus Dothistroma septosporum, the causal agent of Dothistroma needle blight, also known as red band needle blight or pine needle blight. Dothistroma septosporum chrysovirus 1 (DsCV-1) is a new member of the genus Alphachrysovirus in the family Chrysoviridae. The DsCV-1 genome comprises four dsRNA elements designated 1, 2, 3, and 4 from largest to smallest. dsRNA1 encodes an RNA-dependent RNA polymerase (RdRP) that is most similar to the RdRP of Erysiphe necator associated chrysovirus 3. dsRNA2 potentially encodes two hypothetical proteins, one of which is small and has no homology to known proteins, and one of which is large with significant sequence similarity to the alphachryso-P3 of other alphachrysoviruses. dsRNA3 and dsRNA4 encode a coat protein (CP) and a putative cysteine protease, respectively. This is the first report of a mycovirus infecting the fungus D. septosporum, and DsCV-1 is one of three Chrysoviridae family members found to possess genomic dsRNAs potentially encoding more than one protein.Peer reviewe

A new mask-based objective measure for predicting the intelligibility of binary masked speech

ABSTRACT Mask-based objective speech-intelligibility measures have been successfully proposed for evaluating the performance of binary masking algorithms. These objective measures were computed directly by comparing the estimated binary mask against the ground truth ideal binary mask (IdBM). Most of these objective measures, however, assign equal weight to all time-frequency (T-F) units. In this study, we propose to improve the existing mask-based objective measures by weighting each T-F unit according to its target or masker loudness. The proposed objective measure shows significantly better performance than two other existing mask-based objective measures