Outputs (225)

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.

Technological support for citizen science in global ecology (2016)
Presentation / Conference Contribution
Davison, B., Begossi, A., Roques, K., Pandeya, B., & August, T. (2016, August). Technological support for citizen science in global ecology. Presented at 5th International EcoSummit: Ecological Sustainability - Engineering Change, Montpelier, France

The contribution of volunteers in ecology is undeniable. With developments in mobile technology and social media, many predict their contribution to become even more significant. However, economic disparities across the world challenge this vision. T... Read More about Technological support for citizen science in global ecology.

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.

Cloud Security, Privacy, and Trust Baselines (2016)
Book Chapter
Pitropakis, N., Katsikas, S., & Lambrinoudakis, C. (2016). Cloud Security, Privacy, and Trust Baselines. In Cloud Computing Security Foundations and Challenges. CRC Press

According to ISO 27001, a threat is a potential event. When a threat turns into an actual event, it may cause an undesirable incident. It is undesirable because the incident may harm an organization or a system, causing a security incident and/or t... Read More about Cloud Security, Privacy, and Trust Baselines.

25th annual computational neuroscience meeting: CNS-2016 (2016)
Presentation / Conference Contribution
Sharpee, T. O., Destexhe, A., Kawato, M., Sekulić, V., Skinner, F. K., Wόjcik, D. K., Chintaluri, C., Cserpán, D., Somogyvári, Z., Kim, J. K., & others. 25th annual computational neuroscience meeting: CNS-2016

The same neuron may play different functional roles in the neural circuits to which it belongs. For example, neurons in the Tritonia pedal ganglia may participate in variable phases of the swim motor rhythms [1]. While such neuronal functional variab... Read More about 25th annual computational neuroscience meeting: CNS-2016.

Optogenetics in silicon: A neural processor for predicting optically active neural networks (2016)
Journal Article
Luo, J., Nikolic, K., Evans, B. D., Dong, N., Sun, X., Andras, P., Yakovlev, A., & Degenaar, P. (2017). Optogenetics in silicon: A neural processor for predicting optically active neural networks. IEEE Transactions on Biomedical Circuits and Systems, 11(1), 15-27. https://doi.org/10.1109/TBCAS.2016.2571339

We present a reconfigurable neural processor for real-time simulation and prediction of opto-neural behaviour. We combined a detailed Hodgkin-Huxley CA3 neuron integrated with a four-state Channelrhodopsin-2 (ChR2) model into reconfigurable silicon h... Read More about Optogenetics in silicon: A neural processor for predicting optically active neural networks.

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..

The Far Side of Mobile Application Integrated Development Environments (2016)
Presentation / Conference Contribution
Lyvas, C., Pitropakis, N., & Lambrinoudakis, C. (2016, September). The Far Side of Mobile Application Integrated Development Environments. Presented at International Conference on Trust and Privacy in Digital Business TrustBus 2016: Trust, Privacy and Security in Digital Business, Porto, Portugal

Smart phones are, nowadays, a necessity for the vast majority of individuals around the globe. In addition to the ubiquitous computing paradigm supported by such devices, there are numerous software applications that utilize the high computational ca... Read More about The Far Side of Mobile Application Integrated Development Environments.