The Design and Evaluation of a Modern C++ Library (2016)
Presentation / Conference Contribution
Chalmers, K. (2016, August). The Design and Evaluation of a Modern C++ Library. Presented at Communicating Process Architectures 2016, Copenhagen, Denmark

Although many CSP inspired libraries exist, none yet have targeted modern C++ (C++11 onwards). The work presented has a main objective of providing a new C++ CSP library which adheres to modern C++ design principles and standards. A secondary objecti... Read More about The Design and Evaluation of a Modern C++ Library.

Personal online reputation: the development of an approach to investigate how personal reputation is evaluated and managed in online environments. (2016)
Presentation / Conference Contribution
Ryan, F., Cruickshank, P., Hall, H., & Lawson, A. (2016, January). Personal online reputation: the development of an approach to investigate how personal reputation is evaluated and managed in online environments. Presented at IDIMC 2016 - Exploring our digital shadow: from data to intelligence

The main theme of the paper is the development of a framework to investigate how online information is used in the creation, building, and evaluation of personal reputations. (Here the term “personal reputation” refers to the reputation of private in... Read More about Personal online reputation: the development of an approach to investigate how personal reputation is evaluated and managed in online environments..

A Task Orientated Requirements Ontology for Cloud Computing Services (2016)
Presentation / Conference Contribution
Greenwell, R., Liu, X., Chalmers, K., & Pahl, C. (2016, April). A Task Orientated Requirements Ontology for Cloud Computing Services. Presented at Proceedings of the 6th International Conference on Cloud Computing and Services Science

Requirements ontology offers a mechanism to map requirements for cloud computing services to cloud computing resources. Multiple stakeholders can capture and map knowledge in a flexible and efficient manner. The major contribution of the paper is the... Read More about A Task Orientated Requirements Ontology for Cloud Computing Services.

A new efficient objective function for routing in Internet of Things paradigm (2016)
Presentation / Conference Contribution
Qasem, M., Al-Dubai, A., Romdhani, I., Ghaleb, B., & Gharibi, W. (2016, October). A new efficient objective function for routing in Internet of Things paradigm. Presented at 2016 IEEE Conference on Standards for Communications and Networking (CSCN)

Low Power and Lossy Networks (LLNs) have a crucial role in the Internet of Things (IoT) paradigm. For the IPv6 Routing Protocol for LLNs (RPL), two objective functions (OF) have been standardized so far, namely (Objective Function zero (OF0), and the... Read More about A new efficient objective function for routing in Internet of Things paradigm.

Spatial frequency based video stream analysis for object classification and recognition in clouds (2016)
Presentation / Conference Contribution
Yaseen, M. U., Anjum, A., & Antonopoulos, N. (2016, December). Spatial frequency based video stream analysis for object classification and recognition in clouds. Presented at 3rd IEEE/ACM conference on Big Data Computing, Applications and Technologies, Shanghai, China

The recent rise in multimedia technology has made it easier to perform a number of tasks. One of these tasks is monitoring where cheap cameras are producing large amount of video data. This video data is then processed for object classification to ex... Read More about Spatial frequency based video stream analysis for object classification and recognition in clouds.

Clinical and genomics data integration using meta-dimensional approach (2016)
Presentation / Conference Contribution
Subhani, M. M., Anjum, A., Koop, A., & Antonopoulos, N. (2016, December). Clinical and genomics data integration using meta-dimensional approach. Presented at UCC '16: 9th International Conference on Utility and Cloud Computing, Shanghai, China

Clinical and genomics datasets contain humongous amount of information which are used in their respective environments independently to produce new science or better explain existing approaches. The interaction of data between these two domains is ve... Read More about Clinical and genomics data integration using meta-dimensional approach.

5G as an enabler for Medical IOT - 5GMIOT (2016)
Presentation / Conference Contribution
Thuemmler, C., & Jefefries, N. (2016, December). 5G as an enabler for Medical IOT - 5GMIOT. Presented at IEEE Globecom 2016

Short Power Point presentation on 5G as enabler for Medical IoT – 5GMIOT Standards, policies and strategies for social technological alignment of 5G technology

Recent Advances in Indoor Localization: A Survey on Theoretical Approaches and Applications (2016)
Journal Article
Yassin, A., Nasser, Y., Awad, M., Al-Dubai, A., Liu, R., Yuen, C., Raulefs, R., & Aboutanios, E. (2017). Recent Advances in Indoor Localization: A Survey on Theoretical Approaches and Applications. Communications Surveys and Tutorials, IEEE Communications Society, 19(2), 1327-1346. https://doi.org/10.1109/comst.2016.2632427

Nowadays, the availability of the location information becomes a key factor in today’s communications systems for allowing location based services. In outdoor scenarios, the Mobile Terminal (MT) position is obtained with high accuracy thanks to the G... Read More about Recent Advances in Indoor Localization: A Survey on Theoretical Approaches and Applications.

Modified cat swarm optimization for clustering (2016)
Presentation / Conference Contribution
Razzaq, S., Maqbool, F., & Hussain, A. (2016, November). Modified cat swarm optimization for clustering. Presented at BICS 2016: International Conference on Brain Inspired Cognitive Systems, Beijing, China

Clustering is one of the most challenging optimization problems. Many Swarm Intelligence techniques including Ant Colony optimization (ACO), Particle Swarm Optimization (PSO), and Honey Bee Optimization (HBO) have been used to solve clustering. Cat S... Read More about Modified cat swarm optimization for clustering.

Predicting insulin resistance in children using a machine-learning-based clinical decision support system (2016)
Presentation / Conference Contribution
Hall, A. J., Hussain, A., & Shaikh, M. G. (2016, November). Predicting insulin resistance in children using a machine-learning-based clinical decision support system. Presented at BICS 2016: International Conference on Brain Inspired Cognitive Systems, Beijing, China

This study proposes a new diagnostic approach based on application of machine learning techniques to anthropometric patient features in order to create a predictive model capable of diagnosing insulin resistance (HOMA-IR).

As part of the study, a... Read More about Predicting insulin resistance in children using a machine-learning-based clinical decision support system.

Visual attention model with a novel learning strategy and its application to target detection from SAR images (2016)
Presentation / Conference Contribution
Gao, F., Xue, X., Wang, J., Sun, J., Hussain, A., & Yang, E. (2016, November). Visual attention model with a novel learning strategy and its application to target detection from SAR images. Presented at BICS 2016: International Conference on Brain Inspired Cognitive Systems, Beijing, China

The selective visual attention mechanism in human visual system helps human to act efficiently when dealing with massive visual information. Over the last two decades, biologically inspired attention model has drawn lots of research attention and man... Read More about Visual attention model with a novel learning strategy and its application to target detection from SAR images.

An Introduction of Non-intrusive Load Monitoring and Its Challenges in System Framework (2016)
Presentation / Conference Contribution
Liu, Q., Lu, M., Liu, X., & Linge, N. (2016, July). An Introduction of Non-intrusive Load Monitoring and Its Challenges in System Framework. Presented at The 2nd International Conference on Cloud Computing and Security, Nanjing, China

With the increasing of energy demand and electricity price, researchers gain more and more interest among the residential load monitoring. In order to feed back the individual appliance’s energy consumption instead of the whole-house energy consumpti... Read More about An Introduction of Non-intrusive Load Monitoring and Its Challenges in System Framework.

A Survey of Speculative Execution Strategy in MapReduce (2016)
Presentation / Conference Contribution
Liu, Q., Jin, D., Liu, X., & Linge, N. (2016, July). A Survey of Speculative Execution Strategy in MapReduce. Presented at the 2nd International Conference on Cloud Computing and Security; Lecture Notes in Computer Science, Nanjing, China

MapReduce is a parallel computing programming model designed to process large-scale data. Therefore, the accuracy and efficiency for computing are needed to be assured and speculative execution is an efficient method for calculation of fault toleranc... Read More about A Survey of Speculative Execution Strategy in MapReduce.

An efficient and secure partial image encryption for wireless multimedia sensor networks using discrete wavelet transform, chaotic maps and substitution box (2016)
Journal Article
Khan, M. A., Ahmad, J., Javaid, Q., & Saqib, N. A. (2017). An efficient and secure partial image encryption for wireless multimedia sensor networks using discrete wavelet transform, chaotic maps and substitution box. Journal of Modern Optics, 64(5), 531-540. https://doi.org/10.1080/09500340.2016.1246680

Wireless Sensor Networks (WSN) is widely deployed in monitoring of some physical activity and/or environmental conditions. Data gathered from WSN is transmitted via network to a central location for further processing. Numerous applications of WSN ca... Read More about An efficient and secure partial image encryption for wireless multimedia sensor networks using discrete wavelet transform, chaotic maps and substitution box.

A Coordination-Based Brokerage Architecture for Multi-cloud Resource Markets (2016)
Presentation / Conference Contribution
Aldawood, S., Fowley, F., Pahl, C., Taibi, D., & Liu, X. (2016, August). A Coordination-Based Brokerage Architecture for Multi-cloud Resource Markets. Presented at 2016 IEEE 4th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), Vienna, Austria

With an increasing number of service providers in the cloud market, the competition between these is also increasing. Each provider attempts to attract customers by providing a high quality service with lowest possible cost and at the same time tryin... Read More about A Coordination-Based Brokerage Architecture for Multi-cloud Resource Markets.

Distributed Reservoir Computing with Sparse Readouts [Research Frontier] (2016)
Journal Article
Scardapane, S., Panella, M., Comminiello, D., Hussain, A., & Uncini, A. (2016). Distributed Reservoir Computing with Sparse Readouts [Research Frontier]. IEEE Computational Intelligence Magazine, 11(4), 59-70. https://doi.org/10.1109/MCI.2016.2601759

In a network of agents, a widespread problem is the need to estimate a common underlying function starting from locally distributed measurements. Real-world scenarios may not allow the presence of centralized fusion centers, requiring the development... Read More about Distributed Reservoir Computing with Sparse Readouts [Research Frontier].

Measuring perceived clutter in concept diagrams (2016)
Presentation / Conference Contribution
Hou, T., Chapman, P., & Oliver, I. (2016, September). Measuring perceived clutter in concept diagrams. Presented at 2016 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)

Clutter in a diagram can be broadly defined as how visually complex the diagram is. It may be that different users perceive clutter in different ways, however. Moreover, it has been shown that, for certain types of diagrams and tasks, an increase in... Read More about Measuring perceived clutter in concept diagrams.

Mobilouds: An Energy Efficient MCC Collaborative Framework With Extended Mobile Participation for Next Generation Networks (2016)
Journal Article
Panneerselvam, J., Hardy, J., Liu, L., Yuan, B., & Antonopoulos, N. (2016). Mobilouds: An Energy Efficient MCC Collaborative Framework With Extended Mobile Participation for Next Generation Networks. IEEE Access, 4, 9129-9144. https://doi.org/10.1109/access.2016.2602321

Given the emergence of mobile cloud computing (MCC), its associated energy implications are witnessed at larger scale. With offloading computationally intensive tasks to the cloud datacentres being the basic concept behind MCC, most of the mobile ter... Read More about Mobilouds: An Energy Efficient MCC Collaborative Framework With Extended Mobile Participation for Next Generation Networks.

Trickle-Plus: Elastic Trickle algorithm for Low-power networks and Internet of Things (2016)
Presentation / Conference Contribution
Ghaleb, B., Al-Dubai, A., Ekonomou, E., Paechter, B., & Qasem, M. (2016, April). Trickle-Plus: Elastic Trickle algorithm for Low-power networks and Internet of Things. Presented at 2016 IEEE Wireless Communications and Networking Conference

Constrained Low-power and Lossy networks (LLNs) represent the building block for the ever-growing Internet of Things (IoT) that deploy the Routing Protocol for Low Power and Lossy networks (RPL) as a key routing standard. RPL, along with other routin... Read More about Trickle-Plus: Elastic Trickle algorithm for Low-power networks and Internet of Things.

TraceMatch: a computer vision technique for user input by tracing of animated controls (2016)
Presentation / Conference Contribution
Clarke, C., Bellino, A., Esteves, A., Velloso, E., & Gellersen, H. (2016, September). TraceMatch: a computer vision technique for user input by tracing of animated controls. Presented at Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing - UbiComp '16

Recent works have explored the concept of movement correlation interfaces, in which moving objects can be selected by matching the movement of the input device to that of the desired object. Previous techniques relied on a single modality (e.g. gaze... Read More about TraceMatch: a computer vision technique for user input by tracing of animated controls.