All Outputs (231)

ExoPranayama: a biofeedback-driven actuated environment for supporting yoga breathing practices (2016)
Journal Article

© 2016, The Author(s). Both breathing and internal self-awareness are an integral part of any yoga practice. We describe and discuss the development of ExoPranayama, an actuated environment that physically manifests users’ breathing in yoga. Through... Read More about ExoPranayama: a biofeedback-driven actuated environment for supporting yoga breathing practices.

Stromal fibroblasts support dendritic cells to maintain IL-23/Th17 responses after exposure to ionizing radiation (2016)
Journal Article

Dendritic cell function is modulated by stromal cells, including fibroblasts. Although poorly understood, the signals delivered through this crosstalk substantially alter dendritic cell biology. This is well illustrated with release of TNF-0/IL-113 f... Read More about Stromal fibroblasts support dendritic cells to maintain IL-23/Th17 responses after exposure to ionizing radiation.

A Tabu Search hyper-heuristic strategy for t-way test suite generation (2016)
Journal Article

This paper proposes a novel hybrid t-way test generation strategy (where t indicates interaction strength), called High Level Hyper-Heuristic (HHH). HHH adopts Tabu Search as its high level meta-heuristic and leverages on the strength of four low lev... Read More about A Tabu Search hyper-heuristic strategy for t-way test suite generation.

Evolution and computing (Dagstuhl Seminar 16011) (2016)
Other

This report documents the talks and discussions at the Dagstuhl seminar 16011 “Evolution and Computing”. The seminar brought together several research disciplines studying evolution, including population genetics and mathematical biology, theoretical... Read More about Evolution and computing (Dagstuhl Seminar 16011).

Learning of interval and general type-2 fuzzy logic systems using simulated annealing: theory and practice (2016)
Journal Article

This paper reports the use of simulated annealing to design more efficient fuzzy logic systems to model problems with associated uncertainties. Simulated annealing is used within this work as a method for learning the best configurations of interval... Read More about Learning of interval and general type-2 fuzzy logic systems using simulated annealing: theory and practice.

Proxemics mobile collocated interactions (2016)
Conference Proceeding

Recent research on mobile collocated interactions has been looking at situations in which collocated users engage in collaborative activities using their mobile devices. However, existing practices fail to fully account for the culturally-dependent s... Read More about Proxemics mobile collocated interactions.

A patch-based approach to 3D plant shoot phenotyping (2016)
Journal Article

The emerging discipline of plant phenomics aims to measure key plant characteristics, or traits, though as yet the set of plant traits that should be measured by automated systems is not well defined. Methods capable of recovering generic representat... Read More about A patch-based approach to 3D plant shoot phenotyping.

DPD-DFF: a dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases (2016)
Journal Article

Nowadays, many companies and institutions need fast and reliable identification systems that are able to deal with very large databases. Fingerprints are among the most used biometric traits for identification. In the current literature there are fin... Read More about DPD-DFF: a dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases.

A coalgebraic view of bar recursion and bar induction (2016)
Journal Article

We reformulate the bar recursion and induction principles in terms of recursive and wellfounded coalgebras. Bar induction was originally proposed by Brouwer as an axiom to recover certain classically valid theorems in a constructive setting... Read More about A coalgebraic view of bar recursion and bar induction.

Fast global interactive volume segmentation with regional supervoxel descriptors (2016)
Journal Article

In this paper we propose a novel approach towards fast multi-class volume segmentation that exploits supervoxels in order to reduce complexity, time and memory requirements. Current methods for biomedical image segmentation typically require either c... Read More about Fast global interactive volume segmentation with regional supervoxel descriptors.

Integrating BDI agents with Agent-based simulation platforms (2016)
Journal Article

Agent-Based Models (ABMs) is increasingly being used for exploring and supporting decision making about social science scenarios involving modelling of human agents. However existing agent-based simulation platforms (e.g., SWARM, Repast) provide limi... Read More about Integrating BDI agents with Agent-based simulation platforms.

A Case Study of Controlling Crossover in a Selection Hyper-heuristic Framework Using the Multidimensional Knapsack Problem (2016)
Journal Article

© 2016 by the Massachusetts Institute of Technology. Hyper-heuristics are high-level methodologies for solving complex problems that operate on a search space of heuristics. In a selection hyper-heuristic framework, a heuristic is chosen from an exis... Read More about A Case Study of Controlling Crossover in a Selection Hyper-heuristic Framework Using the Multidimensional Knapsack Problem.

Improved Uncertainty Capture for Nonsingleton Fuzzy Systems (2016)
Journal Article

© 2016 IEEE. In nonsingleton fuzzy logic systems (NSFLSs), input uncertainties are modeled with input fuzzy sets in order to capture input uncertainty (e.g., sensor noise). The performance of NSFLSs in handling such uncertainties depends on both the... Read More about Improved Uncertainty Capture for Nonsingleton Fuzzy Systems.

Labelling strategies for hierarchical multi-label classification techniques (2016)
Journal Article

© 2016 Elsevier Ltd Many hierarchical multi-label classification systems predict a real valued score for every (instance, class) couple, with a higher score reflecting more confidence that the instance belongs to that class. These classifiers leave t... Read More about Labelling strategies for hierarchical multi-label classification techniques.

Simulating user learning in authoritative technology adoption: an agent based model for council-led smart meter deployment planning in the UK (2016)
Journal Article

How do technology users effectively transit from having zero knowledge about a technology to making the best use of it after an authoritative technology adoption? This post-adoption user learning has received little research attention in technology m... Read More about Simulating user learning in authoritative technology adoption: an agent based model for council-led smart meter deployment planning in the UK.

A multi-agent based cooperative approach to scheduling and routing (2016)
Journal Article

In this study, we propose a general agent-based distributed framework where each agent is implementing a different metaheuristic/local search combination. Moreover, an agent continuously adapts itself during the search process using a direct cooperat... Read More about A multi-agent based cooperative approach to scheduling and routing.

Expanding exertion gaming (2016)
Journal Article

While exertion games - digital games where the outcome is determined by physical exertion - are of growing interest in HCI, we believe the current health and fitness focus in the research of exertion games limits the opportunities this field has to o... Read More about Expanding exertion gaming.

Hyper-volume evolutionary algorithm (2016)
Journal Article

We propose a multi-objective evolutionary algorithm (MOEA), named the Hyper-volume Evolutionary Algorithm (HVEA). The algorithm is characterised by three components. First, individual fitness evaluation depends on the current Pareto front, specifical... Read More about Hyper-volume evolutionary algorithm.

Do androids dream of electric steeds? The allure of horse-computer interaction (2016)
Journal Article

Iterated local search using an add and delete hyper- heuristic for university course timetabling (2016)
Journal Article

Hyper-heuristics are (meta-)heuristics that operate at a higher level to choose or generate a set of low-level (meta-)heuristics in an attempt of solve difficult optimization problems. Iterated local search (ILS) is a well-known approach for discrete... Read More about Iterated local search using an add and delete hyper- heuristic for university course timetabling.