Outputs (407)

An Energy-Efficiency Routing Scheme Based on Clusters with a Mobile Sink for WSNs (2017)
Presentation / Conference Contribution
Liu, X., & Liu, Q. (2017, June). An Energy-Efficiency Routing Scheme Based on Clusters with a Mobile Sink for WSNs. Presented at 3rd International Conference on Cloud Computing and Security (ICCCS 2017)

With the development of microelectronic devices and the radio, the application of WSN is more popular and can be applied in the various areas, which has attracted scholars. However, the requirements of performance for WSNs are becoming great in terms... Read More about An Energy-Efficiency Routing Scheme Based on Clusters with a Mobile Sink for WSNs.

Investigation of visual aspects of developmental dyslexia in children (2017)
Presentation / Conference Contribution
Piotrowska, B., Murray, J., Willis, A., & Kerridge, J. Investigation of visual aspects of developmental dyslexia in children

Developmental dyslexia is a disorder characterised by difficulties with reading, despite adequate intelligence and education. Phonological deficits are often indicated as the primary cause of dyslexia. Because a range of lower-level perceptual, atten... Read More about Investigation of visual aspects of developmental dyslexia in children.

ESBSC: Energy-Aware Service Brokering Strategy in Clouds (2017)
Presentation / Conference Contribution
Ma, F., Liu, X., Yang, Y., Yao, W., Cai, J., & Wang, F. (2017, July). ESBSC: Energy-Aware Service Brokering Strategy in Clouds. Presented at 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC)

One of the key features of cloud computing is on demand resource provision. Unfortunately, different cloud service providers often have different standards, which makes the job of choosing the suitable resource to be a very difficult one for the comm... Read More about ESBSC: Energy-Aware Service Brokering Strategy in Clouds.

Home automation: HMM based fuzzy rule engine for Ambient intelligent smart space (2017)
Presentation / Conference Contribution
Singh Jamnal, G., Liu, X., & Fan, L. (2017, July). Home automation: HMM based fuzzy rule engine for Ambient intelligent smart space. Presented at The 29th International Conference on Software Engineering and Knowledge Engineering

In this paper, we proposed a new type of decision making system to achieve the intelligent goal for automated smart environments. The artificial intelligence techniques, used as building blocks to understand inhabitant activity patterns. The collecte... Read More about Home automation: HMM based fuzzy rule engine for Ambient intelligent smart space.

What are Communicating Process Architectures? Towards a Framework for Evaluating Message-passing Concurrency Languages (2017)
Presentation / Conference Contribution
Chalmers, K. (2017, August). What are Communicating Process Architectures? Towards a Framework for Evaluating Message-passing Concurrency Languages. Presented at Communicating Process Architectures 2017, Malta

What does it mean to be a message-passing concurrent language? This work attempts to build a framework for classifying such languages by judging four in regards to features and performance. Features of process calculi are used to evaluate Go, Rust, E... Read More about What are Communicating Process Architectures? Towards a Framework for Evaluating Message-passing Concurrency Languages.

Building a C++CSP Channel Using C++ Atomics (2017)
Presentation / Conference Contribution
Chalmers, K. (2017, August). Building a C++CSP Channel Using C++ Atomics. Presented at Communicating Process Architectures 2017, Malta

Mutex-based implementations of synchronous channels are slow. This work investigates atomic operations as a technique to improve communication efficiency between two threads via a busy channel. Such a channel provides faster communication than a mute... Read More about Building a C++CSP Channel Using C++ Atomics.

An Optimized Speculative Execution Strategy Based on Local Data Prediction in a Heterogeneous Hadoop Environment (2017)
Presentation / Conference Contribution
Liu, X., & Liu, Q. (2017, July). An Optimized Speculative Execution Strategy Based on Local Data Prediction in a Heterogeneous Hadoop Environment. Presented at 22017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC), Guangzhou, Guangdong, China

Hadoop is a famous distributed computing framework that is applied to process large-scale data. "Straggling tasks" have a serious impact on Hadoop performance due to imbalance of slow tasks distribution. Speculative execution (SE) presents a way to d... Read More about An Optimized Speculative Execution Strategy Based on Local Data Prediction in a Heterogeneous Hadoop Environment.

Evaluation of a genetic representation for outline shapes (2017)
Presentation / Conference Contribution
Lapok, P., Lawson, A., & Paechter, B. (2017, July). Evaluation of a genetic representation for outline shapes. Presented at Proceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO '17

This work in progress focuses on the evaluation of a genetic representation for outline shapes for planar mechanical levers which addresses the first stage of the complex real-world problem of modelling and evolving planar mechanical lever systems. T... Read More about Evaluation of a genetic representation for outline shapes.

A Unifying Software Framework for Vehicle Routing and Logistics (2017)
Presentation / Conference Contribution
Enenkel, J., Geyer, J., Keiner, J.-N., Nguyen, J., Steuler, J. L., & Urquhart, N. (2017, July). A Unifying Software Framework for Vehicle Routing and Logistics. Paper presented at Annual Workshop of the EURO Working Group on Vehicle Routing and Logistics optimization (VeRoLog), Amsterdam

A wide range of open source tools and real world data are available to support those working on vehicle routing and logistics optimisation. Despite such tools being available there is still a requirement for a unifying software API to allow researche... Read More about A Unifying Software Framework for Vehicle Routing and Logistics.

AGADE-TRAFFIC: Multi-Agent Simulations in Geographical Networks (2017)
Presentation / Conference Contribution
Rotärmel, S., Farrenkopf, T., Guckert, M., & Urquhart, N. (2017, June). AGADE-TRAFFIC: Multi-Agent Simulations in Geographical Networks. Presented at Practical Applications of Agents and Multi-Agent Systems, Porto, Portugal

AGADE-TRAFFIC is a tool for simulating traffic flow in networks. Traffic participants are modelled as NetLogo agents and are visualised in a graphical user interface. Geographic information is stored in a graph database and AGADE-TRAFFIC communicates... Read More about AGADE-TRAFFIC: Multi-Agent Simulations in Geographical Networks.

Communicating Connected Components: Extending Plug-and-Play to Support Skeletons (2017)
Presentation / Conference Contribution
Chalmers, K., Kerridge, J., & Pedersen, J. B. (2016, August). Communicating Connected Components: Extending Plug-and-Play to Support Skeletons. Presented at Communicating Process Architectures 2016, Copenhagen, Denmark

For a number of years, the Communicating Process Architecture (CPA) community have developed languages and runtimes supporting message passing concurrency. For these we always provide a set of reusable processes called plug and play. These components... Read More about Communicating Connected Components: Extending Plug-and-Play to Support Skeletons.

Mango: A model-driven approach to engineering green Mobile Cloud Applications (2017)
Thesis
Chinenyeze, S. J. Mango: A model-driven approach to engineering green Mobile Cloud Applications. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/976572

With the resource constrained nature of mobile devices and the resource abundant offerings of the cloud, several promising optimisation techniques have been proposed by the green computing research community. Prominent techniques and unique methods h... Read More about Mango: A model-driven approach to engineering green Mobile Cloud Applications.

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.

Grid Routing: An Energy-Efficient Routing Protocol for WSNs with Single Mobile Sink (2017)
Journal Article
Liu, Q., Zhang, K., Liu, X., & Linge, N. (2017). Grid Routing: An Energy-Efficient Routing Protocol for WSNs with Single Mobile Sink. International Journal of Sensor Networks, 25(2), 1. https://doi.org/10.1504/ijsnet.2017.10007397

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... Read More about Grid Routing: An Energy-Efficient Routing Protocol for WSNs with Single Mobile Sink.

An Adaptively Speculative Execution Strategy Based on Real-Time Resource Awareness in a Multi-Job Heterogeneous Environment (2017)
Journal Article
Liu, Q., Cai, W., Liu, Q., Shen, J., Fu, Z., Liu, X., & Linge, N. (2017). An Adaptively Speculative Execution Strategy Based on Real-Time Resource Awareness in a Multi-Job Heterogeneous Environment. KSII transactions on internet and information systems, 11(2), https://doi.org/10.3837/tiis.2017.02.004

MapReduce (MRV1), a popular programming model, proposed by Google, has been well used to process large datasets in Hadoop, an open source cloud platform. Its new version MapReduce 2.0 (MRV2) developed along with the emerging of Yarn has achieved obvi... Read More about An Adaptively Speculative Execution Strategy Based on Real-Time Resource Awareness in a Multi-Job Heterogeneous Environment.

BEFTIGRE: Behaviour-driven full-tier green evaluation of mobile cloud applications (2017)
Journal Article
Chinenyeze, S. J., Liu, X., & Al-Dubai, A. (2017). BEFTIGRE: Behaviour-driven full-tier green evaluation of mobile cloud applications. Journal of Software: Evolution and Process, 29(2), e1848. https://doi.org/10.1002/smr.1848

With the resource-constrained nature of mobile devices and the resource-abundant offerings of the cloud, several promising optimisation techniques have been proposed by the green computing research community. Prominent techniques and unique methods h... Read More about BEFTIGRE: Behaviour-driven full-tier green evaluation of mobile cloud applications.

Educational affordances and learning design in music software development (2017)
Journal Article
Cheng, L., & Leong, S. (2017). Educational affordances and learning design in music software development. Technology, Pedagogy and Education, 26(4), 395-407. https://doi.org/10.1080/1475939x.2016.1267037

Although music software has become increasingly affordable and widely adopted in today’s classrooms, concerns have been raised about a lack of consideration for users’ needs during the software development process. This paper examines intra- and inte... Read More about Educational affordances and learning design in music software development.

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.

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 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.