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Outputs (283)

An Agent Based Technique for Improving Multi-Stakeholder Optimisation Problems (2019)
Presentation / Conference Contribution
Urquhart, N., & Powers, S. T. (2019, June). An Agent Based Technique for Improving Multi-Stakeholder Optimisation Problems. Presented at PAAMS 2019: International Conference on Practical Applications of Agents and Multi-Agent Systems, Avila, Spain

We present an agent based framework for improving multi-stakeholder optimisation problems, which we define as optimisation problems where the solution is utilised by a number of stakeholders who have their own local preferences. We explore our ideas... Read More about An Agent Based Technique for Improving Multi-Stakeholder Optimisation Problems.

Wattom: Ambient Eco-feedback with Mid-air Input (2019)
Presentation / Conference Contribution
Esteves, A., Quintal, F., Caires, F., Baptista, V., & Mendes, P. (2019). Wattom: Ambient Eco-feedback with Mid-air Input. In 2019 5th Experiment International Conference (exp.at'19). https://doi.org/10.1109/EXPAT.2019.8876565

This paper presents Wattom, a highly interactive ambient eco-feedback smart plug that aims to promote a more sustainable use of electricity in the home. This paper describes our latest implementation of the Wattom plug, and three system applications.... Read More about Wattom: Ambient Eco-feedback with Mid-air Input.

Reviving legacy enterprise systems with microservice-based architecture within cloud environments (2019)
Presentation / Conference Contribution
Habibullah, S., Liu, X., Tan, Z., Zhang, Y., & Liu, Q. (2019). Reviving legacy enterprise systems with microservice-based architecture within cloud environments. In Computer Science Conference Proceedings. https://doi.org/10.5121/csit.2019.90713

Evolution has always been a challenge for enterprise computing systems. The microservice based architecture is a new design model which is rapidly becoming one of the most effective means to re-architect legacy enterprise systems and to reengineer th... Read More about Reviving legacy enterprise systems with microservice-based architecture within cloud environments.

A Probabilistic Design Reuse Index for Engineering Designs (2020)
Journal Article
Vasantha, G., Corney, J., Stuart, S., Sherlock, A., Quigley, J., & Purves, D. (2020). A Probabilistic Design Reuse Index for Engineering Designs. Journal of Mechanical Design, 142(10), Article 101401. https://doi.org/10.1115/1.4046435

Many companies offer a range of related products that are constructed using similar components and processes. This enables them to meet customer expectations of product variety while minimising the overheads (e.g. development and manufacturing costs)... Read More about A Probabilistic Design Reuse Index for Engineering Designs.

Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science (2018)
Journal Article
Mocanu, D. C., Mocanu, E., Stone, P., Nguyen, P. H., Gibescu, M., & Liotta, A. (2018). Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science. Nature Communications, 9(1), Article 2383. https://doi.org/10.1038/s41467-018-04316-3

Through the success of deep learning in various domains, artificial neural networks are currently among the most used artificial intelligence methods. Taking inspiration from the network properties of biological neural networks (e.g. sparsity, scale-... Read More about Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science.

Fast Millimeter Wave Assisted Beam-Steering for Passive Indoor Optical Wireless Networks (2017)
Journal Article
Torres Vega, M., Koonen, A. M. J., Liotta, A., & Famaey, J. (2018). Fast Millimeter Wave Assisted Beam-Steering for Passive Indoor Optical Wireless Networks. IEEE Wireless Communications Letters, 7(2), 278-281. https://doi.org/10.1109/lwc.2017.2771771

In light of the extreme radio congestion, the time has come to consider the upper parts of the electromagnetic spectrum. Optical beam-steered wireless communications offer great potential for future indoor short-range connectivity, due to virtually u... Read More about Fast Millimeter Wave Assisted Beam-Steering for Passive Indoor Optical Wireless Networks.

Self-Learning Power Control in Wireless Sensor Networks (2018)
Journal Article
Chincoli, M., & Liotta, A. (2018). Self-Learning Power Control in Wireless Sensor Networks. Sensors, 18(2), Article 375. https://doi.org/10.3390/s18020375

Current trends in interconnecting myriad smart objects to monetize on Internet of Things applications have led to high-density communications in wireless sensor networks. This aggravates the already over-congested unlicensed radio bands, calling for... Read More about Self-Learning Power Control in Wireless Sensor Networks.

Spatial anomaly detection in sensor networks using neighborhood information (2016)
Journal Article
Bosman, H. H., Iacca, G., Tejada, A., Wörtche, H. J., & Liotta, A. (2017). Spatial anomaly detection in sensor networks using neighborhood information. Information Fusion, 33, 41-56. https://doi.org/10.1016/j.inffus.2016.04.007

The field of wireless sensor networks (WSNs), embedded systems with sensing and networking capability, has now matured after a decade-long research effort and technological advances in electronics and networked systems. An important remaining challen... Read More about Spatial anomaly detection in sensor networks using neighborhood information.

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.

Decentralized dynamic understanding of hidden relations in complex networks (2018)
Journal Article
Mocanu, D. C., Exarchakos, G., & Liotta, A. (2018). Decentralized dynamic understanding of hidden relations in complex networks. Scientific Reports, 8(1), https://doi.org/10.1038/s41598-018-19356-4

Almost all the natural or human made systems can be understood and controlled using complex networks. This is a difficult problem due to the very large number of elements in such networks, on the order of billions and higher, which makes it impossibl... Read More about Decentralized dynamic understanding of hidden relations in complex networks.

Estimating 3D trajectories from 2D projections via disjunctive factored four-way conditional restricted Boltzmann machines (2017)
Journal Article
Mocanu, D. C., Bou Ammar, H., Puig, L., Eaton, E., & Liotta, A. (2017). Estimating 3D trajectories from 2D projections via disjunctive factored four-way conditional restricted Boltzmann machines. Pattern Recognition, 69, 325-335. https://doi.org/10.1016/j.patcog.2017.04.017

Estimation, recognition, and near-future prediction of 3D trajectories based on their two dimensional projections available from one camera source is an exceptionally difficult problem due to uncertainty in the trajectories and environment, high dime... Read More about Estimating 3D trajectories from 2D projections via disjunctive factored four-way conditional restricted Boltzmann machines.

Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks (2019)
Journal Article
Savaglio, C., Pace, P., Aloi, G., Liotta, A., & Fortino, G. (2019). Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks. IEEE Access, 7, 29355-29364. https://doi.org/10.1109/access.2019.2902371

High-density communications in wireless sensor networks (WSNs) demand for new approaches to meet stringent energy and spectrum requirements. We turn to reinforcement learning, a prominent method in artificial intelligence, to design an energy-preserv... Read More about Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks.

Build, manage and evaluate: information practices and personal reputations on social media platforms (2019)
Presentation / Conference Contribution
Lawson, A., Ryan, F. V., Cruickshank, P., & Hall, H. (2019, June). Build, manage and evaluate: information practices and personal reputations on social media platforms. Presented at Tenth International Conference on Conceptions of Library and Information Science, Ljubljana, Slovenia

Introduction. The broad theme of this paper is the use of information to build, manage and evaluate personal reputations. It reports the findings of a study that considered the extent to which social media users replicate in online environments the... Read More about Build, manage and evaluate: information practices and personal reputations on social media platforms.

On Privacy Aware Carriers for Value-Possessed e-Invoices Considering Intelligence Mining (2020)
Journal Article
Cha, S., Wang, H., Tan, Z., Joung, Y., Tseng, Y., & Yeh, K. (2020). On Privacy Aware Carriers for Value-Possessed e-Invoices Considering Intelligence Mining. IEEE Transactions on Emerging Topics in Computational Intelligence, 4(5), 641-652. https://doi.org/10.1109/tetci.2019.2938547

Intelligence mining is one of the most promising technologies for effectively extracting intelligence (and knowledge) to enhance the quality of decision-making. In Taiwan, the government curtails underground economic activities and facilitates tax ma... Read More about On Privacy Aware Carriers for Value-Possessed e-Invoices Considering Intelligence Mining.

Investigating people: a qualitative analysis of the search behaviours of open-source intelligence analysts (2014)
Presentation / Conference Contribution
McKeown, S., Maxwell, D., Azzopardi, L., & Glisson, W. B. (2014, August). Investigating people: a qualitative analysis of the search behaviours of open-source intelligence analysts. Presented at 5th Information Interaction in Context Symposium, Regensburg, Germany

The Internet and the World Wide Web have become integral parts of the lives of many modern individuals, enabling almost instantaneous communication, sharing and broadcasting of thoughts, feelings and opinions. Much of this information is publicly fac... Read More about Investigating people: a qualitative analysis of the search behaviours of open-source intelligence analysts.

Computopia Revisited: Yoneji Masuda’s Realistic Utopianism (2020)
Journal Article
Duff, A., & Ito, Y. (2020). Computopia Revisited: Yoneji Masuda’s Realistic Utopianism. Keio communication review, 42(3), 53-74

Utopianism has always had a bad press. The whole genre, not least classics such as Thomas More’s Utopia (More, 1516), Robert Owen’s New View of Society (Owen, 1813), and William Morris’s News From Nowhere (Morris, 1891), has allegedly been shot throu... Read More about Computopia Revisited: Yoneji Masuda’s Realistic Utopianism.

Build, manage and evaluate: information practices and personal reputations on social media platforms (2019)
Presentation / Conference Contribution
Ryan, F., Hall, H., Cruickshank, P., & Lawson, A. (2019, June). Build, manage and evaluate: information practices and personal reputations on social media platforms. Paper presented at Conceptions of Library and Information Science 10 (CoLIS10), Ljubjana, Slovenia

Introduction. The broad theme of this paper is the use of information to build, manage and evaluate personal reputations. It reports the findings of a study that considered the extent to which social media users replicate in online environments the e... Read More about Build, manage and evaluate: information practices and personal reputations on social media platforms.

The current status of smart city research: exposing the division (2019)
Book Chapter
Mora, L., Reid, A., & Margarita, A. (2019). The current status of smart city research: exposing the division. In N. Komninos, & C. Kakderi (Eds.), Smart Cities in the Post-algorithmic Era: Integrating Technologies, Platforms and Governance (17-35). Edward Elgar Publishing