Dublin City University

About: Dublin City University is a education organization based out in Dublin, Ireland. It is known for research contribution in the topics: Context (language use) & Machine translation. The organization has 5904 authors who have published 17178 publications receiving 389376 citations. The organization is also known as: National Institute for Higher Education, Dublin & DCU.

PRES: a score metric for evaluating recall-oriented information retrieval applications

Abstract: Information retrieval (IR) evaluation scores are generally designed to measure the effectiveness with which relevant documents are identified and retrieved. Many scores have been proposed for this purpose over the years. These have primarily focused on aspects of precision and recall, and while these are often discussed with equal importance, in practice most attention has been given to precision focused metrics. Even for recall-oriented IR tasks of growing importance, such as patent retrieval, these precision based scores remain the primary evaluation measures. Our study examines different evaluation measures for a recall-oriented patent retrieval task and demonstrates the limitations of the current scores in comparing different IR systems for this task. We introduce PRES, a novel evaluation metric for this type of application taking account of recall and the user's search effort. The behaviour of PRES is demonstrated on 48 runs from the CLEF-IP 2009 patent retrieval track. A full analysis of the performance of PRES shows its suitability for measuring the retrieval effectiveness of systems from a recall focused perspective taking into account the user's expected search effort.

An aqueous ammonia sensor based on an inkjet-printed polyaniline nanoparticle-modified electrode

Abstract: A sensor for the amperometric detection of aqueous ammonia was fabricated using the inkjet printing of dodecylbenzene sulfonate (DBSA)-doped polyaniline nanoparticles (nanoPANI) onto a screen-printed carbon paste electrode. The combination of the environmentally inert, aqueous nanoparticle dispersion with the inkjet printing technique allowed the rapid fabrication of sensors based on polyaniline that was not easily achievable in the past due to the lack of processability of bulk forms of the conducting polymer. The resulting modified electrode was characterised with respect to its operating pH and number of print layers and was found to perform optimally at near neutral pH with four nanoPANI inkjet-printed layers. The sensor was tested in a flow injection system for its response to aqueous ammonia using amperometric detection at −0.3 V vs. Ag/AgCl pseudo-reference and was found to have reproducibility to injections of ammonia of below 5% RSD and good sensitivity with an experimental detection limit of 20 µM and a theoretical detection limit of 3.17 µM (0.54 ppm). The sensor was also tested for its day-to-day stability and its response towards a range of interferents common to refrigerant waste waters. This system allows the rapid production of an ultra-low-cost, solid state, polyaniline-based aqueous ammonia sensor.

Globalisation, Governance and Migration: an introduction

Abstract: Migration exposes a central inconsistency in neoliberal globalisation because, if capital, money, information and knowledge should all flow freely across the globe, then why not people? This broad introductory survey begins with a critical review of perspectives that pose migration as a global governance problem and the migrant as a potential terrorist. It then moves on to interrogate the sometimes facile declarations that we are living in the age of migration without setting this in either historical or geographical context. It explores the gender, race and class dimensions of migration, which is in reality a far from homogenous flow. Then, after opening up the migration/development problematic to move it beyond a zero-sum game, it ends with a review of the limitations of the dominant migration management paradigm. It advocates throughout a Southern perspective on migration in contrast to the Northern bias of the dominant discourses. This is a necessary step, I would argue, for moving towards a ...

Concept and development of an autonomous wearable micro-fluidic platform for real time pH sweat analysis

Abstract: In this work the development of an autonomous, robust and wearable micro-fluidic platform capable of performing on-line analysis of pH in sweat is discussed. Through the means of an optical detection system based on a surface mount light emitting diode (SMD LED) and a light photo sensor as a detector, a wearable system was achieved in which real-time monitoring of sweat pH was performed during 55 min of cycling activity. We have shown how through systems engineering, integrating miniaturised electrical components, and by improving the micro-fluidic chip characteristics, the wearability, reliability and performance of the micro-fluidic platform was significantly improved.

Using wearable cameras to categorise type and context of accelerometer-identified episodes of physical activity

Abstract: Background: Accelerometers can identify certain physical activity behaviours, but not the context in which they take place. This study investigates the feasibility of wearable cameras to objectively categorise the behaviour type and context of participants’ accelerometer-identified episodes of activity. Methods: Adults were given an Actical hip-mounted accelerometer and a SenseCam wearable camera (worn via lanyard). The onboard clocks on both devices were time-synchronised. Participants engaged in free-living activities for 3 days. Actical data were cleaned and episodes of sedentary, lifestyle-light, lifestyle-moderate, and moderate-tovigorous physical activity (MVPA) were identified. Actical episodes were categorised according to their social and environmental context and Physical Activity (PA) compendium category as identified from time-matched SenseCam images. Results: There were 212 days considered from 49 participants from whom SenseCam images and associated Actical data were captured. Using SenseCam images, behaviour type and context attributes were annotated for 386 (out of 3017) randomly selected episodes (such as walking/transportation, social/not-social, domestic/leisure). Across the episodes, 12 categories that aligned with the PA Compendium were identified, and 114 subcategory types were identified. Nineteen percent of episodes could not have their behaviour type and context categorized; 59% were outdoors versus 39% indoors; 33% of episodes were recorded as leisure time activities, with 33% transport, 18% domestic, and 15% occupational. 33% of the randomly selected episodes contained direct social interaction and 22% were in social situations where the participant wasn’t involved in direct engagement. Conclusion: Wearable camera images offer an objective method to capture a spectrum of activity behaviour types and context across 81% of accelerometer-identified episodes of activity. Wearable cameras represent the best objective method currently available to categorise the social and environmental context of accelerometer-defined episodes of activity in free-living conditions.