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All Outputs (650)

Optimization RFID-enabled Retail Store Management with Complex Event Processing (2018)
Journal Article
Peng, S., Liu, C., He, J., Yu, H., & Li, F. (2019). Optimization RFID-enabled Retail Store Management with Complex Event Processing. International Journal of Automation and Computing, 16(1), 52-64. https://doi.org/10.1007/s11633-018-1164-5

Radio frequency identification (RFID) enabled retail store management needs workflow optimization to facilitate real-time decision making. In this paper, complex event processing (CEP) based RFID-enabled retail store management is studied, particular... Read More about Optimization RFID-enabled Retail Store Management with Complex Event Processing.

Optical Fiber Sensor Design for Ground Slope Movement Monitoring for Railway Safety Operations (2018)
Presentation / Conference Contribution
Hook, D., Laing, W., Kerrouche, A., Barreto Gonzalez, D., & Alwis, L. S. (2018, October). Optical Fiber Sensor Design for Ground Slope Movement Monitoring for Railway Safety Operations. Presented at 17th IEEE SENSORS Conference, New Delhi, India

Scour and slope instability are a major issue in keeping the railway structures safe and operational. Conventional measurement techniques do not allow real-time monitoring of slope movement and/or are time/resource consuming. Novel fiber optic techno... Read More about Optical Fiber Sensor Design for Ground Slope Movement Monitoring for Railway Safety Operations.

An Alternative Current-Error Based Control for VSC Integration to Weak Grid (2018)
Presentation / Conference Contribution
Givaki, K., Chen, D., Xu, L., & Xu, Y. (2018). An Alternative Current-Error Based Control for VSC Integration to Weak Grid. In IEEE PES General Meeting 2018. https://doi.org/10.1109/PESGM.2018.8586145

An enhanced current control strategy is proposed for voltage source converters for the integration to weak grids. The control derives from the current-error based vector control. By implementing simple close-loop compensations of both angle and magn... Read More about An Alternative Current-Error Based Control for VSC Integration to Weak Grid.

Improved Artificial Bee Colony Algorithm and its Application in Classification (2018)
Journal Article
Wang, H., Wei, J., Wen, S., Yu, H., & Zhang, X. (2018). Improved Artificial Bee Colony Algorithm and its Application in Classification. Journal of Robotics and Mechatronics, 30(6), 921-926. https://doi.org/10.20965/jrm.2018.p0921

For improving the classification accuracy of the classifier, a novel classification methodology based on artificial bee colony algorithm is proposed for optimal feature and SVM parameters selection. In order to balance the ability of exploration and... Read More about Improved Artificial Bee Colony Algorithm and its Application in Classification.

Developing cyber peacekeeping: Observation, monitoring and reporting (2018)
Journal Article
Robinson, M., Jones, K., Janicke, H., & Maglaras, L. (2019). Developing cyber peacekeeping: Observation, monitoring and reporting. Government Information Quarterly, 36(2), 276-293. https://doi.org/10.1016/j.giq.2018.12.001

Cyberphysical societies are becoming reliant upon the cyber domain for everyday life. With cyber warfare increasingly becoming part of future conflicts, new and novel solutions are needed to assist governments in securing their national infrastructur... Read More about Developing cyber peacekeeping: Observation, monitoring and reporting.

Analysis of integration of multi‐terminal HVDC network to weak grids (2018)
Presentation / Conference Contribution
Givaki, K., Rahman, M. H., Vozikis, D., & Giveki, A. (2018, June). Analysis of integration of multi‐terminal HVDC network to weak grids. Presented at 14th IET International Conference on AC and DC Power Transmission, Chengdu, China

In this paper, the integration of multi-terminal HVDC systems to weak power grids is analysed under different grid strengths and control methods. In this paper, a modular multi-level converter based MTDC network is considered. The analysis showed the... Read More about Analysis of integration of multi‐terminal HVDC network to weak grids.

Design of Multi-View Based Email Classification for IoT Systems via Semi-Supervised Learning (2018)
Journal Article
Li, W., Meng, W., Tan, Z., & Xiang, Y. (2019). Design of Multi-View Based Email Classification for IoT Systems via Semi-Supervised Learning. Journal of Network and Computer Applications, 128, 56-63. https://doi.org/10.1016/j.jnca.2018.12.002

Suspicious emails are one big threat for Internet of Things (IoT) security, which aim to induce users to click and then redirect them to a phishing webpage. To protect IoT systems, email classification is an essential mechanism to classify spam and l... Read More about Design of Multi-View Based Email Classification for IoT Systems via Semi-Supervised Learning.

Feature-preserving detailed 3D face reconstruction from a single image (2018)
Presentation / Conference Contribution
Li, Y., Ma, L., Fan, H., & Mitchell, K. (2018, December). Feature-preserving detailed 3D face reconstruction from a single image. Presented at the 15th ACM SIGGRAPH European Conference, London, United Kingdom

Dense 3D face reconstruction plays a fundamental role in visual media production involving digital actors. We improve upon high fidelity reconstruction from a single 2D photo with a reconstruction framework that is robust to large variations in expre... Read More about Feature-preserving detailed 3D face reconstruction from a single image.

H2/Air Autoignition Dynamics around the Third Explosion Limit (2018)
Journal Article
Tingas, E., Kyritsis, D. C., & Goussis, D. A. (2019). H2/Air Autoignition Dynamics around the Third Explosion Limit. Journal of Energy Engineering, 145(1), Article 04018074. https://doi.org/10.1061/%28asce%29ey.1943-7897.0000588

This paper examines the influence of wall reactions on the generation of the explosive time scale that characterizes ignition delay around the third explosion limit of a stoichiometric H2/air homogeneous mixture. The only wall reactions exhibiting a... Read More about H2/Air Autoignition Dynamics around the Third Explosion Limit.

NgramPOS: A Bigram-based Linguistic and Statistical Feature Process Model for Unstructured Text Classification (2018)
Journal Article
Yazdania, S., Tan, Z., Kakavand, M., & Lau, S. (2022). NgramPOS: A Bigram-based Linguistic and Statistical Feature Process Model for Unstructured Text Classification. Wireless Networks, 28(3), 1251-1261. https://doi.org/10.1007/s11276-018-01909-0

Research in financial domain has shown that sentiment aspects of stock news have a profound impact on volume trades, volatility, stock prices and firm earnings. With the ever growing social inetworking and online marketing sites, the reviews obtained... Read More about NgramPOS: A Bigram-based Linguistic and Statistical Feature Process Model for Unstructured Text Classification.

Comprehensive Review on Appropriate Sizing and Optimization Technique of Hybrid PV-Wind System (2018)
Presentation / Conference Contribution
Nabipour-Afrouzi, H., Yii, S., Ahmad, J., & Tabassum, M. (2018, October). Comprehensive Review on Appropriate Sizing and Optimization Technique of Hybrid PV-Wind System. Presented at 2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Kota Kinabalu, Malaysia

The energy consumption is increasing at an alarming rate due to the growth of world population. Hybrid renewable energy system (HRES) is becoming more trending as the sources involved such as wind and solar radiation to generate energy is environment... Read More about Comprehensive Review on Appropriate Sizing and Optimization Technique of Hybrid PV-Wind System.

Mitigating the effect of partial shading by triple-tied configuration of PV modules (2018)
Presentation / Conference Contribution
Kho, C. T. K., Ahmed, J., Then, Y. L., & Kermadi, M. (2018, October). Mitigating the effect of partial shading by triple-tied configuration of PV modules. Presented at 2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Kota Kinabalu, Malaysia

Partial shading is the phenomenon, which occurs when PV modules receive irregular irradiance on a PV array. Due to that, shaded PV modules are bypassed by diodes and significant reduction in power is experienced. To counter such problem, PV modules a... Read More about Mitigating the effect of partial shading by triple-tied configuration of PV modules.

Occupancy detection in non-residential buildings – A survey and novel privacy preserved occupancy monitoring solution (2018)
Journal Article
Ahmad, J., Larijani, H., Emmanuel, R., Mannion, M., & Javed, A. (2018). Occupancy detection in non-residential buildings – A survey and novel privacy preserved occupancy monitoring solution. Applied Computing and Informatics, https://doi.org/10.1016/j.aci.2018.12.001

Buildings use approximately 40% of global energy and are responsible for almost a third of the worldwide greenhouse gas emissions. They also utilise about 60% of the world’s electricity. In the last decade, stringent building regulations have led to... Read More about Occupancy detection in non-residential buildings – A survey and novel privacy preserved occupancy monitoring solution.

The impact of work placement on graduate employment in computing: outcomes from a UK-based study (2018)
Journal Article
Smith, S., Taylor-Smith, E., Smith, C., & Webster, G. (2018). The impact of work placement on graduate employment in computing: outcomes from a UK-based study. International Journal of Work-Integrated Learning, 19(4), 359-369

This study followed recent computing graduates into the workplace and explored their undergraduate experiences of work placements and subsequent impact on graduate employment. Whilst studying at one of 14 Scottish universities, participants (n=99) ha... Read More about The impact of work placement on graduate employment in computing: outcomes from a UK-based study.

Quantisation feasibility and performance of RSS-based secret key extraction in VANETs (2018)
Presentation / Conference Contribution
Bottarelli, M., Epiphaniou, G., Ben Ismail, D. K., Karadimas, P., & Al-Khateeb, H. (2018, June). Quantisation feasibility and performance of RSS-based secret key extraction in VANETs. Presented at 2018 International Conference on Cyber Security and Protection of Digital Services (Cyber Security), Glasgow

Vehicular Ad Hoc Networks (VANETs) has emerged as a unique implementation of Mobile Ad Hoc Networks (MANETs). These networks promise to increase road safety and improve the driving experience by exploiting recent advances in wireless technologies for... Read More about Quantisation feasibility and performance of RSS-based secret key extraction in VANETs.

Reducing the Impact of Network Bottlenecks on Remote Contraband Detection (2018)
Presentation / Conference Contribution
McKeown, S., Russell, G., & Leimich, P. (2018, June). Reducing the Impact of Network Bottlenecks on Remote Contraband Detection. Presented at IEEE International Conference on Cyber Security and Protection of Digital Services (Cyber Security 2018), Glasgow, UK

Cloud based storage is increasing in popularity, with large volumes of data being stored remotely. Digital forensics investigators examining such systems remotely are limited by bandwidth constraints when accessing this kind of data using traditi... Read More about Reducing the Impact of Network Bottlenecks on Remote Contraband Detection.

Sub-file Hashing Strategies for Fast Contraband Detection (2018)
Presentation / Conference Contribution
McKeown, S., Russell, G., & Leimich, P. (2018, June). Sub-file Hashing Strategies for Fast Contraband Detection. Presented at IEEE International Conference on Cyber Security and Protection of Digital Services (Cyber Security 2018), Glasgow, Scotland

Traditional digital forensics processes do not scale well with the huge quantities of data present in a modern investigation, resulting in large investigative backlogs for many law enforcement agencies. Data reduction techniques are required for fast... Read More about Sub-file Hashing Strategies for Fast Contraband Detection.

A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system (2018)
Presentation / Conference Contribution
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., & Russell, G. (2018, June). A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system. Presented at Cyber Security 2018: 2018 International Conference on Cyber Security and Protection of Digital Services, Glasgow, United Kingdom

Industrial Control Systems are part of our daily life in industries such as transportation, water, gas, oil, smart cities, and telecommunications. Technological development over time have improved their components including operating system platforms... Read More about A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system.