Recursos de colección

Enlighten (144.728 recursos)

Enlighten is the University of Glasgow's institutional repository service for published research material including peer-reviewed journal articles, published conference papers,books and book chapters

Type = Conference Proceedings

Mostrando recursos 1 - 20 de 678

  1. End-host Driven Troubleshooting Architecture for Software-Defined Networking

    Csikor, Levente; Pezaros, Dimitrios P.
    The high variability in traffic demands, the advanced networking services at various layers (e.g., load- balancers), and the steady penetration of SDN technology and virtualization make the crucial network troubleshooting tasks ever more challenging over multi-tenant environments. Service degradation is first realized by the users and, as being the only one having visibility to many relevant information (e.g., connection details) required for accurate and timely problem resolution, the infrastructure layer is often forced upon continuous monitoring resulting in wasteful resource management, not to mention the long time frames. In this paper, we propose an End-host-Driven Troubleshooting architecture (EDT), where users are able to share the application-specific connection details with the infrastructure to accelerate...

  2. HARMLESS: Cost-Effective Transitioning to SDN

    Szalay, Márk; Toka, László; Rétvári, Gábor; Pongrácz, Gergely; Csikor, Levente; Pezaros, Dimitrios P.
    Recently, Software-Defined Networking has grown out of being an “intriguing approach” and turned into a “must-have” for communi- cation networks to overcome many long-standing problems of tra- ditional networking. However, there are still some obstacles on the way to the widespread adoption. Current commodity-off-the-shelf (COTS) SDN offerings are still in their infancy and are notorious for lacking standards compliance, scalability, and unpredictable perfor- mance indicators compared to their legacy counterparts. On the other hand, recent software-based solutions might mitigate these shortcomings, but in terms of cost-efficiency and port density they are in a lower league. Here, we present HARMLESS, a novel SDN switch design that combines the rapid innovation and upgrade cycles...

  3. Distributed Spacecraft Path Planning and Collision Avoidance via Reciprocal Velocity Obstacle Approach

    Channumsin, Sittiporn; Radice, Gianmarco; Ceriotti, Matteo
    No abstract available.

  4. Translational Trial Outcomes for Capsule Endoscopy Test Devices

    Lay, Holly S.; Cummins, Gerard; Cox, Ben F.; Qiu, Yongqiang; Connor, Ciarán; Seetohul, Vipin; Turcanu, Mihnea; McPhillips, Rachael; Desmulliez, Marc P.Y.; Clutton, Eddie; Cochran, Sandy
    Current clinical standards in the endoscopic diagnosis of gastrointestinal diseases are primarily based on the use of optical systems. Ultrasound has established diagnostic credibility in the form of endoscopic ultrasound (EUS), however it is limited to examination of the upper gastrointestinal tract (oesophagus, stomach and upper (proximal) small bowel). Access to the remainder of the small bowel is currently limited to optical capsule endoscopes and a limited number of other modalities as these capsules are restricted to visual examination of the surface or mucosa of the gut wall. Ultrasound capsule endoscopy has been proposed to integrate microultrasound imaging capabilities into...

  5. Translational Trial Outcomes for Capsule Endoscopy Test Devices

    Lay, Holly S.; Cummins, Gerard; Cox, Ben F.; Qiu, Yongqiang; Connor, Ciarán; Seetohul, Vipin; Turcanu, Mihnea; McPhillips, Rachael; Desmulliez, Marc P.Y.; Clutton, Eddie; Cochran, Sandy
    Current clinical standards in the endoscopic diagnosis of gastrointestinal diseases are primarily based on the use of optical systems. Ultrasound has established diagnostic credibility in the form of endoscopic ultrasound (EUS), however it is limited to examination of the upper gastrointestinal tract (oesophagus, stomach and upper (proximal) small bowel). Access to the remainder of the small bowel is currently limited to optical capsule endoscopes and a limited number of other modalities as these capsules are restricted to visual examination of the surface or mucosa of the gut wall. Ultrasound capsule endoscopy has been proposed to integrate microultrasound imaging capabilities into...

  6. Soigner au bled: cadres et éducateurs en médecine en Algérie pendant l’époque coloniale

    Clark, Hannah-Louise

  7. Soigner au bled: cadres et éducateurs en médecine en Algérie pendant l’époque coloniale

    Clark, Hannah-Louise

  8. Observing the Dynamics of Waterborne Pathogens for Assessing the Level of Contamination

    McKenna, Isabella; Tonolini, Francesco; Tobin, Rachael; Houssineau, Jeremie; Bridle, Helen; McDougall, Craig; Schlangen, Isabel; McGrath, John S.; Jimenez, Melanie; Clark, Daniel E.
    In environments of scarce hygiene it is of primary importance to detect potentially harmful concentrations of pathogens in drinking water. In many situations, however, accurate analysis of water samples is prohibitively complex and often requires highly specialised apparatuses and technicians. In order to overcome these limitations, a method to employ video processing to assist microfluidics water filtering apparatuses is proposed. Through the automated analysis of videos captured at the output of such devices it is possible to extract useful information that could control an autonomous calibration, hence eliminating the need of an expert and possibly leading to the construction of...

  9. Observing the Dynamics of Waterborne Pathogens for Assessing the Level of Contamination

    McKenna, Isabella; Tonolini, Francesco; Tobin, Rachael; Houssineau, Jeremie; Bridle, Helen; McDougall, Craig; Schlangen, Isabel; McGrath, John S.; Jimenez, Melanie; Clark, Daniel E.
    In environments of scarce hygiene it is of primary importance to detect potentially harmful concentrations of pathogens in drinking water. In many situations, however, accurate analysis of water samples is prohibitively complex and often requires highly specialised apparatuses and technicians. In order to overcome these limitations, a method to employ video processing to assist microfluidics water filtering apparatuses is proposed. Through the automated analysis of videos captured at the output of such devices it is possible to extract useful information that could control an autonomous calibration, hence eliminating the need of an expert and possibly leading to the construction of...

  10. Particle Manipulation within an Ultrafast Laser Inscribed Optofluidic Device

    Keloth, Anusha; Jimenez, Melanie; Kar, Ajoy; Paterson, Lynn
    Ultrafast laser inscription and selective chemical inscription is used to fabricate buried microfluidic channels and integrated waveguides in fused silica, enabling controlled particle manipulation.

  11. Particle Manipulation within an Ultrafast Laser Inscribed Optofluidic Device

    Keloth, Anusha; Jimenez, Melanie; Kar, Ajoy; Paterson, Lynn
    Ultrafast laser inscription and selective chemical inscription is used to fabricate buried microfluidic channels and integrated waveguides in fused silica, enabling controlled particle manipulation.

  12. Finite Variance Unbiased Estimation of Stochastic Differential Equations

    Agarwal, Ankush; Gobet, Emmanuel
    We develop a new unbiased estimation method for Lipschitz continuous functions of multi-dimensional stochastic differential equations with Lipschitz continuous coefficients. This method provides a finite variance estimator based on a probabilistic representation which is similar to the recent representations obtained through the parametrix method and recursive application of the automatic differentiation formula. Our approach relies on appropriate change of variables to carefully handle the singular integrands appearing in the iterated integrals of the probabilistic representation. It results in a scheme with randomized intermediate times where the number of intermediate times has a Pareto distribution

  13. Rhythmic Micro-Gestures: Discreet Interaction On-the-Go

    Freeman, Euan; Griffiths, Gareth; Brewster, Stephen
    We present rhythmic micro-gestures, micro-movements of the hand that are repeated in time with a rhythm. We present a user study that investigated how well users can perform rhythmic micro-gestures and if they can use them eyes-free with non-visual feedback. We found that users could successfully use our interaction technique (97% success rate across all gestures) with short interaction times, rating them as low difficulty as well. Simple audio cues that only convey the rhythm outperformed animations showing the hand movements, supporting rhythmic micro-gestures as an eyes-free input technique.

  14. Multi-Gated Perimeter Flow Control of Transport Networks

    Mat Jusoh, Ruzanna; Ampountolas, Konstantinos
    This paper develops a control scheme for the multi-gated perimeter traffic flow control problem of urban road networks. The proposed scheme determines optimally distributed input flows (or feasible entrance link green times) for a number of gates located at the periphery of a protected network area. A macroscopic model is employed to describe the traffic dynamics of the protected network. To describe traffic dynamics outside of the protected area, we augment the basic state-space model with additional state variables to account for the queues at store-and-forward origin links at the periphery. We aim to equalise the relative queues at origin...

  15. Fuzzy Q-Learning-Based User-Centric Backhaul-Aware User Cell Association Scheme

    Pervez, Farrukh; Jaber, Mona; Qadir, Junaid; Younis, Shahzad; Imran, Muhammad Ali
    Heterogeneous networks are a key solution to serving the exponential surge in data volume and higher quality expectations. Nonetheless, such networks require the ubiquitous presence of fiber-to-the-cell to address the performance demands of 5G and fast-spreading small cells. To this end, innovative ways of optimizing the usage of realistic backhaul links are being investigated. In this work, we propose a fuzzy Q-learning-based user-centric backhaul-aware user cell association scheme. The proposed scheme aims at optimizing the user-cell association process in a context-aware and backhaul-aware manner. Complementing the scheme with fuzzy-logic requires 33.3% additional storage memory. On the other hand, it increases...

  16. A Personalised Ranking Framework with Multiple Sampling Criteria for Venue Recommendation

    Manotumruksa, Jarana; Macdonald, Craig; Ounis, Iadh

  17. A Deep Recurrent Collaborative Filtering Framework for Venue Recommendation

    Manotumruksa, Jarana; Macdonald, Craig; Ounis, Iadh

  18. Transfer Learning for Multi-language Twitter Election Classification

    Yang, Xiao; McCreadie, Richard; Macdonald, Craig; Ounis, Iadh
    Both politicians and citizens are increasingly embracing social media as a means to disseminate information and comment on various topics, particularly during significant political events, such as elections. Such commentary during elections is also of interest to social scientists and pollsters. To facilitate the study of social media during elections, there is a need to automatically identify posts that are topically related to those elections. However, current studies have focused on elections within English-speaking regions, and hence the resultant election content classifiers are only applicable for elections in countries where the predominant language is English. On the other hand, as...

  19. Transfer Learning for Multi-language Twitter Election Classification

    Yang, Xiao; McCreadie, Richard; Macdonald, Craig; Ounis, Iadh
    Both politicians and citizens are increasingly embracing social media as a means to disseminate information and comment on various topics, particularly during significant political events, such as elections. Such commentary during elections is also of interest to social scientists and pollsters. To facilitate the study of social media during elections, there is a need to automatically identify posts that are topically related to those elections. However, current studies have focused on elections within English-speaking regions, and hence the resultant election content classifiers are only applicable for elections in countries where the predominant language is English. On the other hand, as...

  20. Comparing optimal convergence rate of stochastic mesh and least squares method for Bermudan option pricing

    Agarwal, Ankush; Juneja, Sandeep
    We analyze the stochastic mesh method (SMM) as well as the least squares method (LSM) commonly used for pricing Bermudan options using the standard two phase methodology. For both the methods, we determine the decay rate of mean square error of the estimator as a function of the computational budget allocated to the two phases and ascertain the order of the optimal allocation in these phases. We conclude that with increasing computational budget, while SMM estimator converges at a slower rate compared to LSM estimator, it converges to the true option value whereas LSM estimator, with fixed number of basis functions, usually converges to a biased...

Aviso de cookies: Usamos cookies propias y de terceros para mejorar nuestros servicios, para análisis estadístico y para mostrarle publicidad. Si continua navegando consideramos que acepta su uso en los términos establecidos en la Política de cookies.