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All Outputs (192)

Granularity Cost Analysis for Function Block as a Service (2020)
Presentation / Conference Contribution
Homay, A., Zoitl, A., de Sousa, M., Wollschlaeger, M., & Chrysoulas, C. (2020). Granularity Cost Analysis for Function Block as a Service. . https://doi.org/10.1109/indin41052.2019.8972205

The main challenge of exposing IEC61499 or IEC61131-3 Function Blocks as a service remains in adopting service-oriented concepts in function block programming. Implementing an IEC61499 or IEC61131-3 Function Block that is being accessed via service-o... Read More about Granularity Cost Analysis for Function Block as a Service.

BCFR: Blockchain-based Controller Against False Flow Rule Injection in SDN (2020)
Presentation / Conference Contribution
Boukria, S., Guerroumi, M., & Romdhani, I. (2020). BCFR: Blockchain-based Controller Against False Flow Rule Injection in SDN. In 2019 IEEE Symposium on Computers and Communications (ISCC) (1034-1039). https://doi.org/10.1109/ISCC47284.2019.8969780

Software Defined Networking (SDN) technology increases the evolution of Internet and network development. SDN, with its logical centralization of controllers and global network overview changes the network's characteristics, on term of flexibility, a... Read More about BCFR: Blockchain-based Controller Against False Flow Rule Injection in SDN.

Conceptualising Green Awareness as Moderator in Technology Acceptance Model for Green IS/IT (2020)
Presentation / Conference Contribution
Ashiq, S., Chrysoulas, C., & Banissi, E. (2020). Conceptualising Green Awareness as Moderator in Technology Acceptance Model for Green IS/IT. . https://doi.org/10.1109/icic48496.2019.8966710

Green Information System/Technology adoption is one of the key solutions sought by organisations, policy makers and governments to promote sustainability and deal with environmental issues. Surprisingly, in the research discipline of management infor... Read More about Conceptualising Green Awareness as Moderator in Technology Acceptance Model for Green IS/IT.

TSA: A Truthful Mechanism for Social Advertising (2020)
Presentation / Conference Contribution
Grubenmann, T., Cheng, R. C., & Lakshmanan, L. V. (2020, February). TSA: A Truthful Mechanism for Social Advertising. Presented at WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston TX USA

Social advertising exploits the interconnectivity of users in social networks to spread advertisement and generate user engagements. A lot of research has focused on how to select the best subset of users in a social network to maximize the number of... Read More about TSA: A Truthful Mechanism for Social Advertising.

Automated Precision Tuning in Activity Classification Systems: A Case Study (2020)
Presentation / Conference Contribution
Fossati, N., Cattaneo, D., Chiari, M., Cherubin, S., & Agosta, G. (2020, January). Automated Precision Tuning in Activity Classification Systems: A Case Study. Presented at PARMA-DITAM'2020: 11th Workshop on Parallel Programming and Run-Time Management Techniques for Many-core Architectures / 9th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms, Bologna, Italy

The greater availability and reduction in production cost make wearable IoT platforms perfect candidates to continuously monitor people at risk, like elderly people. In particular these platforms, along with the use of artificial intelligence algorit... Read More about Automated Precision Tuning in Activity Classification Systems: A Case Study.

Random Features and Random Neurons for Brain-Inspired Big Data Analytics (2020)
Presentation / Conference Contribution
Gogate, M., Hussain, A., & Huang, K. (2019, November). Random Features and Random Neurons for Brain-Inspired Big Data Analytics. Presented at 2019 International Conference on Data Mining Workshops (ICDMW), Beijing, China

With the explosion of Big Data, fast and frugal reasoning algorithms are increasingly needed to keep up with the size and the pace of user-generated contents on the Web. In many real-time applications, it is preferable to be able to process more data... Read More about Random Features and Random Neurons for Brain-Inspired Big Data Analytics.

Simulation and Analysis of Electric Field Distributions in Stator Bar Insulation System with Different Arrangement of Cavities (2020)
Presentation / Conference Contribution
Chee, D. T. Y., Mehranzamir, K., Nabipour-Afrouzi, H., Ahmed, J., Malek, Z. A., & Kieh, T. S. (2019, August). Simulation and Analysis of Electric Field Distributions in Stator Bar Insulation System with Different Arrangement of Cavities. Presented at 2019 International UNIMAS STEM 12th Engineering Conference (EnCon), Kuching, Malaysia

The underlying cause of the cessation in high voltage machineries can be rooted from the failure in the insulation system due to cavity's discharges originating from the presence of cavities. This paper caters to the study of the electric field distr... Read More about Simulation and Analysis of Electric Field Distributions in Stator Bar Insulation System with Different Arrangement of Cavities.

Optimization Analysis of Hybrid Renewable Energy System Using Homer Software for Rural Electrification in Sarawak (2020)
Presentation / Conference Contribution
Hada, N., Nabipour-Afrouzi, H., Kieh, T. S., Mehranzamir, K., Ahmed, J., & Wooi, C. (2019, August). Optimization Analysis of Hybrid Renewable Energy System Using Homer Software for Rural Electrification in Sarawak. Presented at 2019 International UNIMAS STEM 12th Engineering Conference (EnCon), Kuching, Malaysia

This research focuses on the design and optimization of a hybrid renewable energy system for the generation of electricity in a rural area in Sarawak, Malaysia. The investigated system consists of the combination of Solar and Biomass energy integrate... Read More about Optimization Analysis of Hybrid Renewable Energy System Using Homer Software for Rural Electrification in Sarawak.

Computational investigation of rod-stabilized laminar premixed hydrogen–methane–air flames (2020)
Presentation / Conference Contribution
Hernandez Perez, F. E., Im, H. G., & Tingas, A. E. (2020). Computational investigation of rod-stabilized laminar premixed hydrogen–methane–air flames. In AIAA Scitech 2020 Forum. https://doi.org/10.2514/6.2020-1659

A computational study of steady, rod-stabilized, inverted, lean, CH4-air and H2-CH4-air flames is conducted. For the CH4-air flames, either decreasing the inlet equivalence ratio or increasing the mean inflow velocity leads to a larger standoff dista... Read More about Computational investigation of rod-stabilized laminar premixed hydrogen–methane–air flames.

DNS of Lean Hydrogen Turbulent Premixed Flames at High Karlovitz Number Conditions (2020)
Presentation / Conference Contribution
Song, W., Hernandez Perez, F., Tingas, A., & Im, H. G. (2020). DNS of Lean Hydrogen Turbulent Premixed Flames at High Karlovitz Number Conditions. In AIAA Scitech 2020 Forum. https://doi.org/10.2514/6.2020-0917

To investigate the turbulent flame speed at high Karlovitz number (Ka) conditions, high fidelity direct numerical simulations (DNS) of lean hydrogen/air premixed flames propagating in a channel are performed with forced turbulence. The turbulent flame sp... Read More about DNS of Lean Hydrogen Turbulent Premixed Flames at High Karlovitz Number Conditions.