Evaluation of a Sketching Interface to Control a Concatenative Synthesiser (2016)
Presentation / Conference Contribution
Tsiros, A., & Leplâtre, G. (2016, September). Evaluation of a Sketching Interface to Control a Concatenative Synthesiser. Presented at International Computer Music Conference

This paper presents the evaluation of Morpheme a sketching interface for the control of sound synthesis. We explain the task that was designed in order to assess the effectiveness of the interface, detect usability issues and gather participants' res... Read More about Evaluation of a Sketching Interface to Control a Concatenative Synthesiser.

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.

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, July). Grid Routing: An Energy-Efficient Routing Protocol for WSNs with Single Mobile Sink. Presented at The 2nd International Conference on Cloud Computing and Security

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, August). Pricing Ontology for Task-Oriented Cloud Sourcing. Presented at 2016 IEEE 4th International Conference on Future Internet of Things and Cloud (FiCloud)

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.

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, July). CACA-UAN: A Context-Aware Communication Approach Based on the Underwater Acoustic Sensor Network. Presented at the 2nd International Conference on Cloud Computing and Security

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.

Estimation Accuracy on Execution Time of Run-Time Tasks in a Heterogeneous Distributed Environment (2016)
Journal Article
Liu, Q., Cai, W., Jin, D., Shen, J., Fu, Z., Liu, X., & Linge, N. (2016). Estimation Accuracy on Execution Time of Run-Time Tasks in a Heterogeneous Distributed Environment. Sensors, 16(9), 1386. https://doi.org/10.3390/s16091386

Distributed Computing has achieved tremendous development since cloud computing was proposed in 2006, and played a vital role promoting rapid growth of data collecting and analysis models, e.g., Internet of things, Cyber-Physical Systems, Big Data An... Read More about Estimation Accuracy on Execution Time of Run-Time Tasks in a Heterogeneous Distributed Environment.

TD-ERCS map-based confusion and diffusion of autocorrelated data (2016)
Journal Article
Khan, J. S., Ahmad, J., & Khan, M. A. (2017). TD-ERCS map-based confusion and diffusion of autocorrelated data. Nonlinear Dynamics, 87(1), 93-107. https://doi.org/10.1007/s11071-016-3028-2

In this article, we proposed a new scheme to encrypt highly autocorrelated image pixel data. In existing literature, single substitution was used to break autocorrelation in images. To get better results, instead of single substitution box, some rese... Read More about TD-ERCS map-based confusion and diffusion of autocorrelated data.

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.

Towards GPU-Based Common-Sense Reasoning: Using Fast Subgraph Matching (2016)
Journal Article
Tran, H.-N., Cambria, E., & Hussain, A. (2016). Towards GPU-Based Common-Sense Reasoning: Using Fast Subgraph Matching. Cognitive Computation, 8(6), 1074-1086. https://doi.org/10.1007/s12559-016-9418-4

Background/Introduction
Common-sense reasoning is concerned with simulating cognitive human ability to make presumptions about the type and essence of ordinary situations encountered every day. The most popular way to represent common-sense knowledg... Read More about Towards GPU-Based Common-Sense Reasoning: Using Fast Subgraph Matching.

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, June). DEEPC: Dynamic Energy Profiling of Components. Presented at 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC)

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.

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.

InfoScout: An interactive, entity centric, person search tool. (2016)
Presentation / Conference Contribution
McKeown, S., Buivys, M., & Azzopardi, L. (2016, July). InfoScout: An interactive, entity centric, person search tool. Presented at SIGIR 2016

Individuals living in highly networked societies publish a large amount of personal, and potentially sensitive, information online. Web investigators can exploit such information for a variety of purposes, such as in background vetting and fraud dete... Read More about InfoScout: An interactive, entity centric, person search tool..

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..

Sonifying the solar system (2016)
Presentation / Conference Contribution
Quinton, M., McGregor, I., & Benyon, D. (2016, July). Sonifying the solar system. Presented at The 22nd International Conference on Auditory Display: Sonic Information Design

Sound is potentially an effective way of analysing data and it is possible to simultaneously interpret layers of sounds and identify changes. Multiple attempts to use sound with scientific data have been made, with varying levels of success. On many... Read More about Sonifying the solar system.

Numerical encoding to tame SQL injection attacks (2016)
Presentation / Conference Contribution
Uwagbole, S., Buchanan, W. J., & Fan, L. (2016, April). Numerical encoding to tame SQL injection attacks. Presented at 2ND IEEE/IFIP Workshop on Security for Emerging Distributed Network Technologies (DISSECT)

Recent years have seen an astronomical rise in SQL Injection Attacks (SQLIAs) used to compromise the confidentiality, authentication and integrity of organisations’ databases. Intruders becoming smarter in obfuscating web requests to evade detection... Read More about Numerical encoding to tame SQL injection attacks.

Distributed and compressed MIKEY mode to secure end-to-end communications in the Internet of things (2016)
Presentation / Conference Contribution
Abdmeziem, R., Tandjaoui, D., & Romdhani, I. (2016, June). Distributed and compressed MIKEY mode to secure end-to-end communications in the Internet of things. Presented at 5th IEEE International Conference on Mobile Services, San Francisco, USA

Multimedia Internet KEYing protocol (MIKEY) aims at establishing secure credentials between two communicating entities. However, existing MIKEY modes fail to meet the requirements of low-power and low-processing devices. To address this issue, we com... Read More about Distributed and compressed MIKEY mode to secure end-to-end communications in the Internet of things.

A compression sensing and noise-tolerant image encryption scheme based on chaotic maps and orthogonal matrices (2016)
Journal Article
Ahmad, J., Khan, M. A., Hwang, S. O., & Khan, J. S. (2016). A compression sensing and noise-tolerant image encryption scheme based on chaotic maps and orthogonal matrices. Neural Computing and Applications, 28(S1), 953-967. https://doi.org/10.1007/s00521-016-2405-6

With the evolution of technologies, the size of an image data has been significantly increased. However, traditional image encryption schemes cannot handle the emerging problems in big data such as noise toleration and compression. In order to meet t... Read More about A compression sensing and noise-tolerant image encryption scheme based on chaotic maps and orthogonal matrices.

AmbiGaze: Direct Control of Ambient Devices by Gaze (2016)
Presentation / Conference Contribution
Velloso, E., Wirth, M., Weichel, C., Esteves, A., & Gellersen, H. (2016, June). AmbiGaze: Direct Control of Ambient Devices by Gaze. Presented at Proceedings of the 2016 ACM Conference on Designing Interactive Systems - DIS '16

Eye tracking offers many opportunities for direct device control in smart environments, but issues such as the need for calibration and the Midas touch problem make it impractical. In this paper, we propose AmbiGaze, a smart environment that employs... Read More about AmbiGaze: Direct Control of Ambient Devices by Gaze.