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Tamil Talk: What you speak is what you get! (2019)
Presentation / Conference
Ogunshile, E., & Ramachandran, R. (2019, October). Tamil Talk: What you speak is what you get!. Paper presented at CONISOFT 2019 : IEEE 7th International Conference on Software Engineering Research and Innovation

Tamil is one of the longest surviving classical languages in the world. Speech to text in Tamil would benefit to a lot of native Tamil speakers throughout the world. There are many speech recognition and speech to text applications available for a... Read More about Tamil Talk: What you speak is what you get!.

A honeybees-inspired heuristic algorithm for numerical optimisation (2019)
Journal Article
Dugenci, M., & Aydin, M. E. (in press). A honeybees-inspired heuristic algorithm for numerical optimisation. Neural Computing and Applications, https://doi.org/10.1007/s00521-019-04533-x

Swarm intelligence is all about developing collective behaviours to solve complex, ill-structured and large-scale problems. Efficiency in collective behaviours depends on how to harmonise the individual contributors so that a complementary collective... Read More about A honeybees-inspired heuristic algorithm for numerical optimisation.

Incremental development of business process architecture using the design science research methodology (2019)
Conference Proceeding
Sabri, M., Odeh, M., & Saad, M. (2019). Incremental development of business process architecture using the design science research methodology

This paper presents a new approach to developing a business process architecture using the design science research methodology. It is also part of the research framework development that generates a business process architecture using semantic knowle... Read More about Incremental development of business process architecture using the design science research methodology.

An ontology-based i* goal-oriented referential integrity model in systems of systems context (2019)
Journal Article
integrity model in systems of systems context

System of Systems (SoS) results from the integration of a set of independent Constituent Systems (CS) that could be socio or technical, in order to offer unique functionalities. SoS is largely driven by stakeholders’ needs and goals taking into consi... Read More about An ontology-based i* goal-oriented referential integrity model in systems of systems context.

Enhancing user fairness in OFDMA radio access networks through machine learning (2019)
Conference Proceeding
Comsa, I., Zhang, S., Aydin, M., Kuonen, P., Trestian, R., & Ghinea, G. (2019). Enhancing user fairness in OFDMA radio access networks through machine learning. In 2019 Wireless Days (WD), 1-8. https://doi.org/10.1109/WD.2019.8734262

The problem of radio resource scheduling subject to fairness satisfaction is very challenging even in future radio access networks. Standard fairness criteria aim to find the best trade-off between overall throughput maximization and user fairness sa... Read More about Enhancing user fairness in OFDMA radio access networks through machine learning.

Monitoring the performance of petrochemical organizations in Saudi Arabia using data envelopment analysis (2019)
Journal Article
Alidrisi, H., Aydin, M. E., Bafail, A. O., Abdulal, R., & Karuvatt, S. A. (2019). Monitoring the performance of petrochemical organizations in Saudi Arabia using data envelopment analysis. Mathematics, 7(6), 519. https://doi.org/10.3390/math7060519

The petrochemical industry plays a crucial role in the economy of the Kingdom of Saudi Arabia. Therefore, the effectiveness and efficiency of this industry is of high importance. Data envelopment analysis (DEA) is found to be more acceptable in measu... Read More about Monitoring the performance of petrochemical organizations in Saudi Arabia using data envelopment analysis.

OntoSoS.QR: Semantic representation of quality requirements metamodel for systems of systems (2019)
Conference Proceeding
Qaddoumi, E., Odeh, M., Khan, Z., & Kossmann, M. (in press). OntoSoS.QR: Semantic representation of quality requirements metamodel for systems of systems. https://doi.org/10.1109/ACIT.2018.8672693

Semantic representation is increasingly used in today’s works. With interoperability issues between different constituent systems in the Systems of Systems (SoS) arrangement, it is necessary to have a common vocabulary between heterogenetic systems t... Read More about OntoSoS.QR: Semantic representation of quality requirements metamodel for systems of systems.

Investigating the role of knowledge management in driving the development of an effective business process architecture (2019)
Thesis
Sabri, M. Investigating the role of knowledge management in driving the development of an effective business process architecture. (Thesis). Gloucestershire. Retrieved from https://uwe-repository....ribe.com/output/1490925

Business Process Architecture (BPA) modelling methods are not dynamic and flexible enough to effectively respond to changes. This may create a barrier that contributes to a lack of knowledge and learning capabilities which can affect the BPA regardin... Read More about Investigating the role of knowledge management in driving the development of an effective business process architecture.

Deriving object-based business process architecture using knowledge management enablers (2019)
Journal Article
Sabri, M., Odeh, M., & Saad, M. (2019). Deriving object-based business process architecture using knowledge management enablers

This paper discusses a semantic-driven approach to deriving an object-based Business Process Architecture (BPA) using Knowledge Management Enablers (KMEs). The semantic enriched Riva BPA (srBPA) ontology has been selected as an object and ontology b... Read More about Deriving object-based business process architecture using knowledge management enablers.

An agent-based approach for strategic alignment in enterprise systems: A cancer care case (2019)
Conference Proceeding
Aydin, M. E., Oztemel, E., Nashawati, D., Odeh, M., & Mansour, A. (2019). An agent-based approach for strategic alignment in enterprise systems: A cancer care case. In M. Odeh, & F. Kharbat (Eds.),

Enterprise systems are viewed as large-scale software systems, which are usually assembled through a number of protocols inspired by political coalitions. This is due to the fact that incompatibilities emerge through the nature of subsystems can only... Read More about An agent-based approach for strategic alignment in enterprise systems: A cancer care case.

A semantically-enriched quality governance framework for systems of systems applied to Cancer Care (2019)
Conference Proceeding
Qaddoumi, E., Odeh, M., Khan, Z., Kossmann, M., Tbakhi, A., & Mansour, A. (in press). A semantically-enriched quality governance framework for systems of systems applied to Cancer Care

Quality Governance of Systems of Systems (SoS) is a very complex challenge, given that participating systems in the arrangement are often not under direct control and they have different life cycles; yet one has to ensure that the required level of q... Read More about A semantically-enriched quality governance framework for systems of systems applied to Cancer Care.

An interactive metaheuristic search framework for software service identification from business process models (2019)
Thesis
identification from business process models. (Thesis). University of the West of England. Retrieved from https://uwe-repository.worktribe.com/output/853842

In recent years, the Service-Oriented Architecture (SOA) model of computing has become widely used and has provided efficient and agile business solutions in response to inevitable and rapid changes in business requirements. Software service identifi... Read More about An interactive metaheuristic search framework for software service identification from business process models.

An adaptive opportunistic routing scheme for reliable data delivery in WSNs (2018)
Conference Proceeding
Hasnain, M., Malik, M. H., & Aydin, M. E. (2018). An adaptive opportunistic routing scheme for reliable data delivery in WSNs. In A. Abuarqoub, M. Hammudah, & S. Murad (Eds.), Proceedings of the 2nd International Conference on Future Networks and Distributed Systems - ICFNDS '18, 1-7. https://doi.org/10.1145/3231053.3231085

With the emergence of miniature technologies such as sensor nodes powered with limited batteries, many applications came into existence such as detection of mine reconnaissance, pollution monitoring, data gathering from remote locations, etc. Sensor... Read More about An adaptive opportunistic routing scheme for reliable data delivery in WSNs.

Building collaboration in multi-agent systems using reinforcement learning (2018)
Journal Article
Aydin, M. E., & Fellows, R. (2018). Building collaboration in multi-agent systems using reinforcement learning. Lecture Notes in Artificial Intelligence, 11056, 201-212. https://doi.org/10.1007/978-3-319-98446-9_19

This paper presents a proof-of concept study for demonstrating the viability of building collaboration among multiple agents through standard Q learning algorithm embedded in particle swarm optimisation. Collaboration is formulated to be achieved amo... Read More about Building collaboration in multi-agent systems using reinforcement learning.

Diversifying search in bee algorithms for numerical optimisation (2018)
Journal Article
Düg̃enci, M., & Aydin, M. E. (2018). Diversifying search in bee algorithms for numerical optimisation. Lecture Notes in Artificial Intelligence, 11056, 132-144. https://doi.org/10.1007/978-3-319-98446-9_13

Swarm intelligence offers useful instruments for developing collective behaviours to solve complex, ill-structured and large-scale problems. Efficiency in collective behaviours depends on how to harmonise the individual contributions so that a comple... Read More about Diversifying search in bee algorithms for numerical optimisation.

Towards 5G: A reinforcement learning-based scheduling solution for data traffic management (2018)
Journal Article
Comşa, I., Zhang, S., Aydin, M., Kuonen, P., Lu, Y., Trestian, R., & Ghinea, G. (2018). Towards 5G: A reinforcement learning-based scheduling solution for data traffic management. IEEE Transactions on Network and Service Management, 15(4), 1661-1675. https://doi.org/10.1109/TNSM.2018.2863563

Dominated by delay-sensitive and massive data applications, radio resource management in 5G access networks is expected to satisfy very stringent delay and packet loss requirements. In this context, the packet scheduler plays a central role by alloca... Read More about Towards 5G: A reinforcement learning-based scheduling solution for data traffic management.

Managing congestion in vehicular networks using tabu search (2018)
Journal Article
Ishaq, M., Malik, M. H., & Aydin, M. E. (2018). Managing congestion in vehicular networks using tabu search. Communications in Computer and Information Science, 893, 118-129. https://doi.org/10.1007/978-3-319-98204-5_10

In this era of communication, exponentially growing networks bring a lot of challenges to address for smoother network functionalities. Among them is efficiency in handling packet traffic to avoid and control congestion. A particular case is applicab... Read More about Managing congestion in vehicular networks using tabu search.

Selecting display products for furniture stores using fuzzy multi-criteria decision making techniques (2018)
Journal Article
Uygun, Ö., Güven, İ., Şimşir, F., & Aydin, M. E. (2018). Selecting display products for furniture stores using fuzzy multi-criteria decision making techniques. Communications in Computer and Information Science, 893, 181-193. https://doi.org/10.1007/978-3-319-98204-5_15

Efficient marketing in which the right products are supplied to the right consumer plays a crucial role for a profitable business in the age of highly accessible and competitive global market. This fact enforces producers to clearly identify and anal... Read More about Selecting display products for furniture stores using fuzzy multi-criteria decision making techniques.

Implementing the United Nations sustainable development goals for the systems engineering of multinational corporations (2018)
Presentation / Conference
Brooks, I., Kossmann, M., Longhurst, J., & Odeh, M. (2018, July). Implementing the United Nations sustainable development goals for the systems engineering of multinational corporations. Paper presented at Delivering Systems in the Age of Globalization

The United Nations Sustainable Development Goals (SDGs) were adopted in 2015 by 193 countries. They can be characterised as sustainability ‘requirements’ for the global system. This paper provides a vision of how Multinational Companies (MNCs) are... Read More about Implementing the United Nations sustainable development goals for the systems engineering of multinational corporations.

Developing a power efficient private cloud ready infrastructure for small-medium sized enterprises (2018)
Book Chapter
Ogunshile, E. (2018). Developing a power efficient private cloud ready infrastructure for small-medium sized enterprises. In V. Méndez Muñoz, D. Ferguson, M. Helfert, & C. Pahl (Eds.), Proceedings of the 8th International Conference on Cloud Computing and Services Science, 299-309. SciTePress. https://doi.org/10.5220/0006641002990309

Digital technology is advancing and the means of powering it so. For small-medium enterprise (SME) to remain competitive in today’s economic climate it is paramount they can respond to business challenges with agility and efficiency. Despite knowing... Read More about Developing a power efficient private cloud ready infrastructure for small-medium sized enterprises.