Heriot-Watt University

ROS: The Research Output Service. Heriot-Watt University Edinburgh
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    4689 research outputs found

    Advanced RF/microwave filtering circuits for wireless communications and radar applications.

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    The recent rapid development in modern communication systems has presented some constraints caused by the introduced noises, as well as further requirements of low costs and miniature designs. Such noises are overcome using efficient designs of filtering devices which are essential components in many satellite, radar and mobile communication systems. As a result, balanced or differential filtering components have recently received increasing attention. A wideband microstrip balanced bandpass filter based on modified stub line approach is presented in here. The proposed idea of extended transmission lines (TLs) at the input and output (I/O) ports enables for very good stopband rejection and common-mode suppression. On the other hand, the recently introduced multilayer liquid crystal polymer (LCP) material and fabrication technique are exclusively applied in this work for adapting the potential solutions offered within. Therefore, a comprehensive in-house fabrication process has been developed and extensively illustrated in this thesis starting from mask preparation covering the entire procedure up to producing the final piece of output. As a demonstrator of the potential capability of multilayer LCP technology, a novel miniaturized ultra-wideband (UWB) balun with self-packaging is introduced in this study. The broadside coupled stripline structure is adopted in this work to realize UWB performance and TEM mode which results in excellent amplitude and phase balances. In turn, a novel compact UWB multilayer balanced bandpass filter using LCP technology is also presented in this thesis. The design utilizes the transversal signal-interference concept for realizing an outstanding common-mode suppression while constructed in a stripline configuration. All of the designs covered in this thesis are initially simulated using CAD tools to be then validated by measurements of fabricated prototypes

    Sampling, rendering, and denoising light fields for challenging environments

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    Light field imaging is an important area of image-based rendering (IBR) that is on the cusp of becoming an important area in the field of robotics. While born into the field of graphics, light fields have evolved into and taken the form of high resolution depth sensors that can simultaneously generate high quality views of a subject. Modern focused light field cameras are capable of capturing video at over 160 frames per second (FPS) and producing depth at half that rate. These modern light field cameras have demonstrated impressively high resolution depth results, with much of the appeal being in that it is a passive, single sensor system with the ability to generate depth from a single shot. However, with such high framerates, the amount of light collected decreases, affecting light field rendering and depth estimation processes. The objective of this thesis is to build upon existing work in light fields and robotics. We compare methods for collecting light fields and develop a system around focused light fields that makes them more robust to challenging conditions, particularly in very low-light scenarios. Our first contribution explores the usage of robotic platforms for collecting light fields using a traditional, 2D camera and compares localization accuracy with popular visual techniques such as structure from motion (SfM) and simultaneous localization and mapping (SLAM) We shift our focus for our second contribution to the sensor that said robot might be equipped with, in this case a focused light field camera. We develop a method based on deep learning that allows for enhancement of low-light light fields captured under a time constraint. We build upon this by developing a simple algorithm that generates smooth light field video in the absence of a reference video. To accomplish this we also create two datasets: one containing low-light light field stills at various shutter speeds, and another containing low-light light field videos captured at a single shutter speed. In our third contribution we further build on the work of the previous contribution by exploiting unique aspects of the light field. In particular, we develop a network that can learn depth from the low resolution microlens images (MLIs) that make up the focused camera light field. As well, we develop a deep neural network (DNN) that takes into account the light field context and angular feature redundancies, taking inspiration from burst denoising methods for single shot light fields. In conclusion, we show that robot platforms are the best platforms for sensor placement in light field acquisition and set a standard where none existed in low-light focused light field enhancement

    Photonic lantern imaging

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    The photonic lantern is an adiabatic transition from an array of single-­mode waveguides to a single multimode waveguide, which has found use historically in astrophotonics as a reformatter of light from multimode to single mode, facilitating advanced instrumentation, and in communication networks to allow better coupling and spatial multiplexing. The device has never before been used for imaging, but is suited to certain forms of compressive sensing. Light is coupled into each of the single­mode waveguides at the input to a multicore fibre photonic lantern, producing intensity patterns at the output of that lantern which are stable to bending, and which are used as the sampling basis for a variant of compressive imaging related closely to ghost imaging. Improvements to such imaging modalities require a greater number of modes to be excited simultaneously, requiring a lantern with stable polarisation properties. With the aid of a de novo fabricated integrated lantern custom­-manufactured for such tuned properties, more advanced techniques are explored. These include coherent combination of mode patterns to increase the possible sampling basis, as well as more complex techniques of beamshaping at the lantern output facet through holographic projection. These proofs-­of-­concept of the novel imaging techniques show the previously undiscovered value of photonic lanterns in the field of imaging, and their promise for endomicroscopy systems

    Understanding and improving through mobile technology users’ experience of bladder training

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    In 2018, 20.1% of the worldwide population was affected by the Overactive Bladder (OAB) condition. Although treatable, it remains undertreated and undiagnosed. Since mobile health applications are increasingly being used to support people during self-managed treatment, a smartphone could be the ideal technology for an OAB mobile health application. This research aims to investigate whether a mobile health application could be an appropriate tool to help people suffering from OAB symptoms increase their adherence to self-managed treatment and raise awareness of symptoms. The research conducted in this thesis began with a detailed literature review, followed by requirements gathering interviews with healthcare professionals and co-design interviews with people suffering from OAB symptoms (end-users). Based on the literature review and requirements gathering findings, a first application prototype was designed and developed. As part of an iterative design process, interviews were later carried out with the same two stakeholder categories to evaluate the prototype and understand how the user interface and the interaction with the functions can be improved. Following the prototype interview findings and a second development phase, the application was evaluated during a short field study of nine days with end-users. The study aimed to understand whether using the application in a real-life context has an impact on how end-users view it and if the application contains any outstanding usability issues. Following the short field study findings and a third development phase, a six weeks uncontrolled field study was conducted with end-users. The aim was to determine whether the application has the potential to raise awareness of symptoms and help people adhere to self-managed treatment. The research presented in this thesis is the first known attempt of investigating how a mobile health application could actively support people suffering from a sensitive condition such as OAB. This investigation uniquely involved people suffering from OAB symptoms in the design and evaluation studies. This thesis provides contributions to the Human-Computer Interaction field by showing that gender is an important factor that needs to be considered when gathering design ideas with people suffering from a sensitive health condition. This thesis also makes design recommendations, that could potentially be applied to other mobile health applications for sensitive health conditions. Moreover, it demonstrates that a mobile health application has the potential to help people adhere to OAB self-managed treatment and raise awareness of symptoms

    Vascular flow modelling for the development of ultrasound contrast imaging

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    Contrast Enhanced Ultrasound imaging is a safe, reliable, and inexpensive diagnostic method that can provide information on the vascularisation of an organ and is currently applied in a range of diagnostic protocols. This thesis combines the fields of mathematical biology for vascular network modelling with Contrast Enhanced Ultrasound and with Super Resolution Ultrasound to expand the range of diagnostic applications in different conditions. The fact that microbubbles are intravascular agents allows the study of diseases that affect organ vascularisation like obstructions and tumours. Under this scope, vessel networks with certain blood flow conditions and dedicated, large scale organ vascularisation models were constructed, with and without the aforementioned pathologies, and their impact on organ perfusion was studied. Then, Contrast Enhanced Ultrasound imaging was applied on microbubble flow through these vascular networks and the results were compared to the readily available ground truth results. The novelty of this approach lies on combination of the two fields: the mathematical biology models allowed the systematic comparison of healthy organs and of disease on ground truth level, thus allowing the investigation of ultrasound parameters that can be improve image quality or be used as diagnostic markers. The results showed that the use of SRU provides useful information on the structure (recovery of vessel radius) and rheological properties of microcirculation which can be used for early detection of disease

    Faunal biodiversity and food-web structure of organic falls in the deep sea

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    This thesis assesses and compares biodiversity and ecosystem functions such as trophic structure, biological traits and production surrounding different kinds of deep-sea organic fall, using in situ experiments and novel scientific techniques. Benthic lander technology was used to deploy experimental substrates (wood blocks and kelp parcels) into a deep Norwegian fjord, and fish carcasses to 4300 m in the north eastern Pacific Ocean, to investigate benthic ecosystems. The concepts of anthropogenic disturbance are explored such as food subsidy removal and complete habitat loss due to deep-sea mining activity. Extensive kelp harvesting in Norway, coupled with kelp forest loss from climate change, is likely to greatly reduce transport of this important food subsidy to deep fjord communities. This is contrasted by success in terrestrial reforestation – the area covered by boreal forests in Norway has tripled in the past 100 years, inevitably increasing the amount of wood debris that makes its way to deep fjords. Strong evidence was found for the importance of kelp detritus in deep fjord ecosystems. There was a high dietary dependence on kelp and the potential for a multilevel trophic structure based on kelp as a primary source of carbon. Wood falls were found to be an important habitat for a unique community of fauna, including some specialists that completely depend of them. However, wood does not appear to act as a like-for-like substitute for kelp detritus and an increase afforestation will do little to mitigate the effects of kelp loss. Secondary production for both wood and kelp falls was found to be higher than that of shallower, soft sediment sites in European seas. Results from a simulated fish fall experiment in the Clarion Clipperton Zone, an area marked for deep-sea mining, revealed a relatively high diversity of benthic scavengers in the German license area. The community of scavengers was significantly different to those of adjacent areas, even when they were situated a short distance away (< 20 km). Power analysis revealed that as few as 10 baited-camera deployments are required to gain a good understanding of the communities living within an area. When attempting to mitigate the effects of deep-sea mining, careful consideration must be given to the scale over which baseline and monitoring studies are carried out

    Limit properties of stochastic multiple access networks

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    Stochastic multiple-access networks are systems in which services are randomly requested by multiple users, and often simultaneously. We analyse such a system, where we assume that each node of the network receives a random number of new packets within each time slot and transmits them according to the centralised slotted Aloha protocol. We construct a new model for the workload in the system, while taking into account the one-way spatial interactions that occur at nodes that are simultaneously in activity at a relatively small distance apart. Our new model is a time-homogeneous and irreducible Markov chain on a countable state space. We investigate the stochastic stability, the instability, and the partial stability properties of the network and obtain appropriate conditions on the mean number of new packets. For the latter two properties, we consider single-node and two-node networks and make some conjecture for a higher number of nodes. Our proofs are mainly based on the drift analysis approach. We also study the large deviations asymptotics for the stationary workload in a single-node network and obtain new results. Besides, we obtain the stationary distribution for single-node and two-node networks in particular cases

    Development of mid-infrared laser sources with atmospheric turbulence resistance

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    Development of new organic synthetic methods using photoredox catalysis, gold catalysis and metal-free reactions

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    This thesis describes the work undertaken on three projects throughout the period of study. Due to the diverse nature of the topics covered, the traditional introductory chapter has been forgone in favour of a longer introductory section at the beginning of each chapter outlining the research carried out by the author. Chapter 1 outlines the successful development of a dual copper- and photoredox-catalysed C(sp2 )-C(sp3 ) cross-coupling between benzyl bromides and aryl boronic acids. Under the developed conditions, this challenging transformation is achieved under mild conditions using a cheap copper catalyst, which is less toxic than the commonly used nickel alternatives. Chapter 2 details efforts to synthesise biologically relevant unsymmetrical 3,3′- bis(indoloyl)methanes through control of the selectivity of Au(I)-catalysed hydroarylation of alkynes with indoles. This resulted in the first reported Au(I)-catalysed hydroarylation of alkynes with indoles which is selective for the monoarylated vinyl indole product. Following this success, the reaction was also developed into an efficient telescoped protocol for the synthesis of unsymmetrical 3,3′-bis(indoloyl)methanes, which provided these difficult to access compounds in good yields with no intermediate purification. Chapter 3 describes the development of a metal- and light-free protocol for the hydrodecarboxylation of alkyl carboxylic acids. The reaction benefits from using cheap reagents, having fast reaction times and mild conditions. It also circumvents the need for the addition of an exogenous hydrogen atom donor in the case of most substrates. The transformation was also shown to be compatible with visible-light photocatalysis, providing a complementary method to promote the reaction.Engineering and Physical Sciences Research Council (EPSRC

    Vibrationally-assisted collective quantum optical effects

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    This thesis considers a variety of systems which are designed to take advantage of collective optical effects in the presence of a vibrational environment; a necessary condition for such systems to exist on a quantum platform outside of superconducting qubits. The first research chapter considers the effect of superabsorption, the time-reversed process of Dicke superradiance. A series of conditions for a guide-slide superabsorber are proposed, which allow a system to sacrifice some optical coupling for the benefit of still operating when coupled to a phonon bath. We suggest a system geometry which meets these properties, and then use this as a case study to show such a system does indeed display the hallmarks of superabsorbing behaviour. This remains when disorder is introduced to the system, as well as with a strongly-coupled vibrational environment in the polaron frame, amongst several other model extensions. The second research chapter looks at optical ratcheting, a process whereby an artificial light-harvester with an extraction bottleneck can improve performance by relaxing to a state which is dark with respect to optical relaxation, while still being able to absorb more photons. We examine how the performance scales with system size before looking at how the phenomena performs in the polaron frame. While strong vibrational coupling can be the undoing of collective optical effects, we find that it is still possible to observe ratcheting in the strong-coupling regime. We use the model as a platform to investigate more accurate means of incorporating extraction via a trap, by treating it as an additional dipole in the system. This change means one needs to consider both the optical and geometric properties of the trap to achieve optimal performance. The third research chapter stems from collaborative work with quantum biologists. We study the recently resolved structure of a photosynthetic complex, iron stress-induced protein A (IsiA), to establish if the structure allows the complex to utilise vibrational relaxation into a collectively dark delocalised state to reduce the likelihood of loss. By distorting different components, we establish which parts of the structure this effect is susceptible to changes in, providing insight into the function of the complex. Finally, the fourth research chapter investigates the feasibility of using a molecular aggregate of two identical absorbers as a gain medium in a laser. With adequate control of the geometry, we show that the combination of collective optical coupling and rapid vibrational relaxation make population inversion possible. By coupling a disordered collection of such systems to a resonant cavity, we demonstrate that a stable laser field can be generated. The results of this work support an approach derived by our collaborators, allowing larger, more complex aggregates to be used instead, which require less fine control over the molecular geometry to achieve lasing behaviour.Scottish Condensed Matter Centre for Doctoral Training (EPSRC grant no. EP/L015110/1

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