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Outputs (499)

An adaptive approach to better load balancing in a consumer-centric cloud environment (2016)
Journal Article
Liu, Q., Cai, W., Shen, J., Liu, X., & Linge, N. (2016). An adaptive approach to better load balancing in a consumer-centric cloud environment. IEEE Transactions on Consumer Electronics, 62(3), 243-250. https://doi.org/10.1109/tce.2016.7613190

Pay-as-you-consume, as a new type of cloud computing paradigm, has become increasingly popular since a large number of cloud services are gradually opening up to consumers. It gives consumers a great convenience, where users no longer need to buy the... Read More about An adaptive approach to better load balancing in a consumer-centric cloud environment.

CACA-UAN: A Context-Aware Communication Approach Based on the Underwater Acoustic Sensor Network (2016)
Presentation / Conference Contribution
Liu, Q., Chen, X., Liu, X., & Linge, N. (2016). CACA-UAN: A Context-Aware Communication Approach Based on the Underwater Acoustic Sensor Network. In X. Sun, A. Liu, H. C. Chao, & E. Bertino (Eds.), Cloud Computing and Security. ICCCS 2016

Underwater acoustic sensor networks (UANs) have emerged as a promising technology which can be applied in many areas such as military and civil in recent years. Among these applications, the communication between the devices is crucial for providing... Read More about CACA-UAN: A Context-Aware Communication Approach Based on the Underwater Acoustic Sensor Network.

A Method for Electric Load Data Verfication and Repair in home Environment (2016)
Presentation / Conference Contribution
Liu, Q., Li, S., Liu, X., & Linge, N. (2016, July). A Method for Electric Load Data Verfication and Repair in home Environment. Presented at the 2nd International Conference on Cloud Computing and Security

Most people do not have a consciousness of energy saving. For this phenomenon, the governments are building smart grids to take measures for the energy crisis. Electric load data records the electric consumption and plays an important role in operati... Read More about A Method for Electric Load Data Verfication and Repair in home Environment.

Grid Routing: An Energy-Efficient Routing Protocol for WSNs with Single Mobile Sink (2016)
Presentation / Conference Contribution
Liu, Q., Zhang, K., Liu, X., & Linge, N. (2016). Grid Routing: An Energy-Efficient Routing Protocol for WSNs with Single Mobile Sink. In Cloud Computing and Security (232-243). https://doi.org/10.1007/978-3-319-48674-1_21

In a traditional wireless sensor network with static sinks, sensor nodes close to the sink run out of their batteries quicker than other nodes due to the increased data traffic towards the sink. These nodes with huge data traffic are easy to become h... Read More about Grid Routing: An Energy-Efficient Routing Protocol for WSNs with Single Mobile Sink.

Pricing Ontology for Task-Oriented Cloud Sourcing (2016)
Presentation / Conference Contribution
Greenwell, R., Liu, X., & Chalmers, K. (2016). Pricing Ontology for Task-Oriented Cloud Sourcing. In 2016 IEEE 4th International Conference on Future Internet of Things and Cloud (FiCloud). https://doi.org/10.1109/ficloud.2016.17

Cloud computing allows access to computing resources from a number of providers, who offer multiple pricing strategies for selected product characteristics. The service offerings are becoming increasingly complex, with innovations such as spot market... Read More about Pricing Ontology for Task-Oriented Cloud Sourcing.

A speculative approach to spatial-temporal efficiency with multi-objective optimization in a heterogeneous cloud environment (2016)
Journal Article
Liu, Q., Cai, W., Shen, J., Fu, Z., Liu, X., & Linge, N. (2016). A speculative approach to spatial-temporal efficiency with multi-objective optimization in a heterogeneous cloud environment. Security and Communication Networks, 9(17), 4002-4012. https://doi.org/10.1002/sec.1582

A heterogeneous cloud system, for example, a Hadoop 2.6.0 platform, provides distributed but cohesive services with rich features on large-scale management, reliability, and error tolerance. As big data processing is concerned, newly built cloud clus... Read More about A speculative approach to spatial-temporal efficiency with multi-objective optimization in a heterogeneous cloud environment.

Natural Language Generation enhances human decision-making with uncertain information. (2016)
Presentation / Conference Contribution
Gkatzia, D., Lemon, O., & Rieser, V. (2016, August). Natural Language Generation enhances human decision-making with uncertain information. Presented at 54th Annual Meeting of the Association for Computational Linguistics (ACL) Volume 2 (short papers)

Decision-making is often dependent on uncertain data, e.g. data associated with confidence scores or probabilities. We present a comparison of different information presentations for uncertain data and, for the first time, measure their effects on hu... Read More about Natural Language Generation enhances human decision-making with uncertain information..

DEEPC: Dynamic Energy Profiling of Components (2016)
Presentation / Conference Contribution
Liu, X., Chinenyeze, S. J., & Al-Dubai, A. (2016). DEEPC: Dynamic Energy Profiling of Components. In 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC). https://doi.org/10.1109/COMPSAC.2016.90

Many software projects are built using reusable components (i.e. reusable objects - as per component and connectors in software architectures). During component selection in CBSD, components are evaluated on the criteria of required quality attribute... Read More about DEEPC: Dynamic Energy Profiling of Components.

Nonlinearly Weighted First-order Regression for Denoising Monte Carlo Renderings (2016)
Journal Article
Bitterli, B., Rousselle, F., Moon, B., Iglesias-Guitián, J. A., Adler, D., Mitchell, K., Jarosz, W., & Novák, J. (2016). Nonlinearly Weighted First-order Regression for Denoising Monte Carlo Renderings. Computer Graphics Forum, 35(4), 107-117. https://doi.org/10.1111/cgf.12954

We address the problem of denoising Monte Carlo renderings by studying existing approaches and proposing a new algorithm that yields state-of-the-art performance on a wide range of scenes. We analyze existing approaches from a theoretical and empiric... Read More about Nonlinearly Weighted First-order Regression for Denoising Monte Carlo Renderings.

IRIDiuM: immersive rendered interactive deep media (2016)
Presentation / Conference Contribution
Koniaris, B., Israr, A., Mitchell, K., Huerta, I., Kosek, M., Darragh, K., …Moon, B. (2016). IRIDiuM: immersive rendered interactive deep media. . https://doi.org/10.1145/2929490.2929496

Compelling virtual reality experiences require high quality imagery as well as head motion with six degrees of freedom. Most existing systems limit the motion of the viewer (prerecorded fixed position 360 video panoramas), or are limited in realism,... Read More about IRIDiuM: immersive rendered interactive deep media.

Stereohaptics: a haptic interaction toolkit for tangible virtual experiences (2016)
Presentation / Conference Contribution
Israr, A., Zhao, S., McIntosh, K., Schwemler, Z., Fritz, A., Mars, J., Bedford, J., Frisson, C., Huerta, I., Kosek, M., Koniaris, B., & Mitchell, K. (2016, July). Stereohaptics: a haptic interaction toolkit for tangible virtual experiences. Presented at ACM SIGGRAPH 2016 Studio on - SIGGRAPH '16, Anaheim, CA, US

With a recent rise in the availability of affordable head mounted gear sets, various sensory stimulations (e.g., visual, auditory and haptics) are integrated to provide seamlessly embodied virtual experience in areas such as education, entertainment,... Read More about Stereohaptics: a haptic interaction toolkit for tangible virtual experiences.

User, metric, and computational evaluation of foveated rendering methods (2016)
Presentation / Conference Contribution
Swafford, N. T., Iglesias-Guitian, J. A., Koniaris, C., Moon, B., Cosker, D., & Mitchell, K. (2016, July). User, metric, and computational evaluation of foveated rendering methods. Presented at Proceedings of the ACM Symposium on Applied Perception - SAP '16

Perceptually lossless foveated rendering methods exploit human perception by selectively rendering at different quality levels based on eye gaze (at a lower computational cost) while still maintaining the user's perception of a full quality render. W... Read More about User, metric, and computational evaluation of foveated rendering methods.

A topological insight into restricted Boltzmann machines (2016)
Journal Article
Mocanu, D. C., Mocanu, E., Nguyen, P. H., Gibescu, M., & Liotta, A. (2016). A topological insight into restricted Boltzmann machines. Machine Learning, 104(2-3), 243-270. https://doi.org/10.1007/s10994-016-5570-z

Restricted Boltzmann Machines (RBMs) and models derived from them have been successfully used as basic building blocks in deep artificial neural networks for automatic features extraction, unsupervised weights initialization, but also as density esti... Read More about A topological insight into restricted Boltzmann machines.

Adaptive polynomial rendering (2016)
Presentation / Conference Contribution
Moon, B., McDonagh, S., Mitchell, K., & Gross, M. (2016, July). Adaptive polynomial rendering. Presented at ACM SIGGRAPH 2016, Anaheim, California, US

In this paper, we propose a new adaptive rendering method to improve the performance of Monte Carlo ray tracing, by reducing noise contained in rendered images while preserving high-frequency edges. Our method locally approximates an image with polyn... Read More about Adaptive polynomial rendering.

Telling stories about dynamic networks with graph comics. (2016)
Presentation / Conference Contribution
Bach, B., Kerracher, N., Hall, K. W., Carpendale, S., Kennedy, J., & Henry Riche, N. (2016, May). Telling stories about dynamic networks with graph comics. Presented at CHI 16

In this paper, we explore graph comics as a medium to communicate
changes in dynamic networks. While previous research
has focused on visualizing dynamic networks for data
exploration, we want to see if we can take advantage of the
visual express... Read More about Telling stories about dynamic networks with graph comics..

The institutional approach for modeling the evolution of human societies (2016)
Presentation / Conference Contribution
Powers, S. (2016). The institutional approach for modeling the evolution of human societies. In Proceedings of the Artificial Life Conference 2016. https://doi.org/10.7551/978-0-262-33936-0-ch011

Artificial Life is concerned with understanding the dynamics of human societies. A defining feature of any human society is its institutions. However, defining exactly what an institution is has proven difficult, with authors often talking past each... Read More about The institutional approach for modeling the evolution of human societies.

Using argumentation within sustainable transport communication (2016)
Book Chapter
Wells, S., & Pangbourne, K. (2016). Using argumentation within sustainable transport communication. In Argumentation and Reasoned Action Volume 1 (781-801). College Publications

In this paper we present the preliminary results of a survey of persuasive communication within the sustainable transport domain. This survey is underpinned by a reconstruction of the arguments used, a scheme oriented analysis of the corpus of recon... Read More about Using argumentation within sustainable transport communication.

Combinatorial Dialogue Games in Strategic Argumentation (2016)
Book Chapter
Wells, S. (2016). Combinatorial Dialogue Games in Strategic Argumentation. In Argumentation and Reasoned Action Volume 2 (1045-1063). College Publications

We introduce combinatorial dialogue games, an approach to strategizing within argumentative dialogue games where the moves played are interpreted as moves within an edge addition and/or edge-removal combinatorial game. This enables an agent to reason... Read More about Combinatorial Dialogue Games in Strategic Argumentation.

Large-scale Argument Visualization (LSAV) (2016)
Presentation / Conference Contribution
Khartabil, D., Wells, S., & Kennedy, J. (2016). Large-scale Argument Visualization (LSAV). In Eurographics Conference on Visualization (EuroVis), Posters Track (2016)

Arguments are structures of premises and conclusions that underpin rational reasoning processes. Within complex knowledge domains, especially if they are contentious, argument structures can become large and complex. Visualization tools have been dev... Read More about Large-scale Argument Visualization (LSAV).