Computer Science: Recent submissions
Now showing items 581-600 of 2149
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Procedural Puzzle Generation: A Survey
(2020)Procedural Content Generation (PCG) for games has existed since the 1980s and is becoming increasingly important for creating gameworlds, backstory and characters across many genres, in particular open-world games such as ... -
A Note on Attribute-Based Group Homomorphic Encryption
(2019)Group Homomorphic Encryption (GHE), formally defined by Armknecht, Katzenbeisser and Peter, is a public-key encryption primitive where the decryption algorithm is a group homomorphism. Hence it supports homomorphic ... -
HCI and Affective Health: Taking stock of a decade of studies and charting future research directions
(ACM, 2019)In the last decade, the number of articles on HCI and health has increased dramatically. We extracted 139 papers on depression, anxiety and bipolar health issues from 10 years of SIGCHI conference proceedings. 72 of these ... -
Heterogeneous Multi-Agent Deep Reinforcement Learning for Traffic Lights Control
(2018)Reinforcement Learning (RL) has been extensively used in Urban Traffic Control (UTC) optimization due its capability to learn the dynamics of complex problems from interactions with the environment. Recent advances in ... -
A multi-class SVM classifier ensemble for automatic hand washing quality assessment
(2007)Hand washing is a critical activity in preventing the spread of infection in health-care environments. Several guidelines recommended a hand washing protocol consisting of six steps that ensure that all areas of the hands ... -
Compositonal modelling and verification of self-adaptive cyber-physical systems
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2019)Cyber-Physical Systems (CPSs) must often self-adapt to respond to changes in their operating environment. However, providing assurances of critical requirements through formal verification techniques can be computationally ... -
XYZ Privacy
(2018)Future autonomous vehicles will generate, collect, aggregate and consume significant volumes of data as key gateway devices in emerging Internet of Things scenarios. While vehicles are widely accepted as one of the most ... -
Attribute-Based Group Homomorphic Encryption and Additively Homomorphic IBE
(Springer International Publishing, 2018)Group Homomorphic Encryption (GHE), formally defined by Armknecht, Katzenbeisser and Peter, is a public-key encryption primitive where the decryption algorithm is a group homomorphism. Hence it suports homomorphic evaluation ... -
An Evaluation of Open Source Serverless Computing Frameworks Support at the Edge
(2019)The proliferation of Internet of Things (IoT) and the success of resource-rich cloud services have pushed the data processing horizon towards the edge of the network. This has the potential to address bandwidth costs, and ... -
A technology enhanced learning framework for enterprise performance optimisation
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2012)Enterprise perfornnance optimisation is critical for organisations to survive and prosper in today's competitive global market-place. While this is true for all organisations, the need is even greater for the Small and ... -
Responsive aggregate defence for denial of service attacks
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2011)The Internet is the main provider of information, communication and media services for an increasing percentage of the world's population. Its architecture is based on packet switching principles and employs a layered, ... -
Adaptable peer-to-peer internet live media streaming
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2009)Media streaming is an approach to delivering media, which may consist of video and audio, from a provider to viewers. Media streaming enables simultaneous delivery and playback of media and thus provides an alternative to ... -
Exploring and Designing for Memory Impairments in Depression
(ACM, 2019)Depression is an affective disorder with distinctive autobiographical memory impairments, including negative bias, overgeneralization and reduced positivity. Several clinical therapies address these impairments, and there ... -
Engagement with Mental Health Screening on Mobile Devices: Results from an Antenatal Feasibility Study
(ACM, 2019)Perinatal depression (PND) affects up to 15% of women within the United Kingdom and has a lasting impact on a woman’s quality of life, birth outcomes and her child’s development. Suicide is the leading cause of maternal ... -
The mobiledna (digital narrative approach) : supporting collaborative creativity in mobile moving media production
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2009)Collaboration and creativity are beneficial for learning. While collaboration involves conflict, articulation and co-construction, creativity banks on the interplay between divergent and convergent thinking. Collaborative ... -
Supporting Student Engagement through Explorable Visual Narratives
(2018)This paper introduces VisEN, a novel visual narrative framework that has been shown to facilitate, support, and enhance student engagement in an adaptive Online Learning Environment (OLE). VisEN provides explorable visual ... -
Card-Based Methods in Interactive Narrative Prototyping
(Springer, 2018)Paper prototyping plays an important role in the creation of inter-active digital narratives (IDN). A structured prototyping approach can help improve the process of making IDNs. In particular, pre-made, specialized card ... -
Adaptive Reward Allocation for Participatory Sensing
(2018)Participatory sensing is a paradigm through which mobile device users (or participants) collect and share data about their environments. The data captured by participants is typically submitted to an intermediary (the ... -
Social Network Analysis for Routing in Disconnected Delay-Tolerant MANETs
(ACM, 2007)Message delivery in sparse Mobile Ad hoc Networks (MANETs) is difficult due to the fact that the network graph is rarely (if ever) connected. A key challenge is to find a route that can provide good delivery performance ... -
Generating Software Adaptations using Machine Learning
(2018)Recent availability of large amounts of sensor data from Internet of Things devices opens up the possibility for software systems to dynamically provide fine-grained adaptations to the observed environment conditions, ...
