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Visualising Compliance of Composite Shell Mechanisms (2020)
Conference Proceeding
Stacey, J., O'Donnell, M. P., Schenk, M., & Kim, C. J. (2020). Visualising Compliance of Composite Shell Mechanisms. In Proceedings of the ASME 2020 International Design Engineering Technical Conferences \& Computers and Information in Engineering Conference (IDETC/CIE 2020)

Optimal integration of renewable distributed generation using the whale optimization algorithm for techno-economic analysis (2020)
Conference Proceeding
Settoul, S., Chenni, R., Zellagui, M., & Nouri, H. (2020). Optimal integration of renewable distributed generation using the whale optimization algorithm for techno-economic analysis

A new method for optimal integration of renewable energy sources based on photovoltaic solar panels and wind turbines in the distribution network is presented with the objective of reducing the Active Power Loss (APL) index, to improve the Total Volt... Read More about Optimal integration of renewable distributed generation using the whale optimization algorithm for techno-economic analysis.

Sample and time efficient policy learning with CMA-ES and Bayesian Optimisation (2020)
Conference Proceeding
Le Goff, L. K., Buchanan, E., Hart, E., Eiben, A. E., Li, W., de Carlo, M., …Tyrrell, A. M. (2020). Sample and time efficient policy learning with CMA-ES and Bayesian Optimisation. In J. Bongard, J. Lovato, L. Hebert-Dufrésne, R. Dasari, & L. Soros (Eds.), Artificial Life Conference Proceedings. , (432-440). https://doi.org/10.1162/isal_a_00299

In evolutionary robot systems where morphologies and controllers of real robots are simultaneously evolved, it is clear that there is likely to be requirements to refine the inherited controller of a ‘newborn’ robot in order to better align it to its... Read More about Sample and time efficient policy learning with CMA-ES and Bayesian Optimisation.

Fuzzy tuned PID controller for vibration control of agricultural manipulator (2020)
Conference Proceeding
Paul, S., Arunachalam, A., Khodadad, D., & Rubanenko, O. (2020). Fuzzy tuned PID controller for vibration control of agricultural manipulator. In 2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA). https://doi.org/10.1109/hora49412.2020.9152848

Image-based phenotyping systems have evolved over the years, and become an integral part of crop and plant science research. Phenotyping systems provide great potential to deliver critical insights, than the conventional destructive field methods. St... Read More about Fuzzy tuned PID controller for vibration control of agricultural manipulator.

Crowd-driven Music: Interactive and Generative Approaches using Machine Vision and Manhattan (2020)
Conference Proceeding
Nash, C. (in press). Crowd-driven Music: Interactive and Generative Approaches using Machine Vision and Manhattan

This paper details technologies and artistic approaches to crowd-driven music, discussed in the context of a live public installation in which activity in a public space (e.g. a busy railway platform) is used to drive the automated composition and pe... Read More about Crowd-driven Music: Interactive and Generative Approaches using Machine Vision and Manhattan.

To allow, or deny? That is the question (2020)
Conference Proceeding
Andriotis, P., & Takasu, A. (2020). To allow, or deny? That is the question. In HCI for Cybersecurity, Privacy and Trust. , (287-304). https://doi.org/10.1007/978-3-030-50309-3_20

The Android ecosystem is dynamic and diverse. Controls have been set in place to allow mobile device users to regulate exchanged data and restrict apps from accessing sensitive personal information and system resources. Modern versions of the operati... Read More about To allow, or deny? That is the question.

C-19 C – A mobile application to support the community during Covid-19 lockdown (2020)
Conference Proceeding
Ogunshile, E., Phung, K., & Odongo, S. (in press). C-19 C – A mobile application to support the community during Covid-19 lockdown

Whenever the world is faced with a devastating outbreak of events, technology innovations have proven to be a go to solution that expedite the recovery process. We propose a mobile application rapidly developed as a contender to the TechForce19 innov... Read More about C-19 C – A mobile application to support the community during Covid-19 lockdown.

க ோVID -19: A focus on codemixing and codeswitching in Tamil speech to text (2020)
Conference Proceeding
Ogunshile, E., & Ramachandran, R. (in press). க ோVID -19: A focus on codemixing and codeswitching in Tamil speech to text

This paper attempts to develop an application that converts Tamil language speech to Tamil text, with a view to encourage usage and indirectly ensure linguistic preservation of a classical language. The application converts spoken Tamil to text wit... Read More about க ோVID -19: A focus on codemixing and codeswitching in Tamil speech to text.

An algorithm for implementing and generating test cases from a minimal stream X- Machine (2020)
Conference Proceeding
Ogunshile, E., & Phung, K. (in press). An algorithm for implementing and generating test cases from a minimal stream X- Machine

The rapid change of requirements has made software more complex and harder to maintain. Software testing tools play an important role in the Software Development Life Cycle. However, many technology companies have employed fast paced development of s... Read More about An algorithm for implementing and generating test cases from a minimal stream X- Machine.

Towards an architecture for wellbeing (2020)
Conference Proceeding
Rice, L., & Sara, R. (2020). Towards an architecture for wellbeing. In 7th International Conference on Sustainable Architecture and Built Environment Proceedings. , (75-85)

Architectural design can have profound implications on human health and planetary wellbeing. The built environment is currently one of the most important determinants of health and wellbeing. As human health comprises of physical, mental and social a... Read More about Towards an architecture for wellbeing.

Demand forecasting of short life cycle products using data mining techniques (2020)
Conference Proceeding
Afifi, A. (2020). Demand forecasting of short life cycle products using data mining techniques. In Artificial Intelligence Applications and Innovations. AIAI 2020

Products with short life cycles are becoming increasingly common in many industries due to higher levels of competition, shorter product development time and increased product diversity. Accurate demand forecasting of such products is crucial as it p... Read More about Demand forecasting of short life cycle products using data mining techniques.

Feature selection with artificial bee colony algorithms for classifying Parkinson’s diseases (2020)
Conference Proceeding
Durgut, R., Baydilli, Y. Y., & Aydin, M. E. (2020). Feature selection with artificial bee colony algorithms for classifying Parkinson’s diseases. In Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference. , (338-351). https://doi.org/10.1007/978-3-030-48791-1_26

Parkinson’s is a brain disease that affects the quality of human life significantly with very slow progresses. It is known that early diagnosis is of great importance to arrange relevant and efficient treatments. Data analytics and particularly predi... Read More about Feature selection with artificial bee colony algorithms for classifying Parkinson’s diseases.

Enabling Predictive and Preventive Maintenance using IoT and Big Data in the Telecom Sector (2020)
Conference Proceeding
Mahmood, T., & Munir, K. (2020). Enabling Predictive and Preventive Maintenance using IoT and Big Data in the Telecom Sector. https://doi.org/10.5220/0009325201690176

Telecom sector has always been working hard to improve network quality to satisfy end user services. Fixing telecom network errors (hardware and software) precisely and quickly is a main factor to improve quality of services. Telecom operators are sp... Read More about Enabling Predictive and Preventive Maintenance using IoT and Big Data in the Telecom Sector.

The United Nations Sustainable Development Goals in Systems Engineering: Eliciting sustainability requirements (2020)
Conference Proceeding
Brooks, I. (in press). The United Nations Sustainable Development Goals in Systems Engineering: Eliciting sustainability requirements. https://doi.org/10.1145/3401335.3401359

This paper discusses a PhD research project testing the hypothesis that using the United Nations Sustainable Development Goals (SDG) [18] as explicit inputs to drive the Software Requirements Engineering process will result in requirements with impro... Read More about The United Nations Sustainable Development Goals in Systems Engineering: Eliciting sustainability requirements.

Examining profiles for robotic risk assessment: Does a robot's approach to risk affect user trust? (2020)
Conference Proceeding
Bridgwater, T., Giuliani, M., van Maris, A., Baker, G., Winfield, A., & Pipe, T. (2020). Examining profiles for robotic risk assessment: Does a robot's approach to risk affect user trust?. In Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. , (23-31). https://doi.org/10.1145/3319502.3374804

© 2020 Association for Computing Machinery. As autonomous robots move towards ubiquity, the need for robots to make decisions under risk that are trustworthy becomes increasingly significant; both to aid acceptance and to fully utilise their autonomo... Read More about Examining profiles for robotic risk assessment: Does a robot's approach to risk affect user trust?.

"What could possibly go wrong?": Logging HRI data for robot accident investigation (2020)
Conference Proceeding
Winkle, K., Jirotka, M., Lyngs, U., Macrae, C., Webb, H., & Winfield, A. (2020). "What could possibly go wrong?": Logging HRI data for robot accident investigation. In HRI '20: Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. , (517-519). https://doi.org/10.1145/3371382.3378296

This abstract presents proposed experimental work to consider what might be required for an 'ethical black box', essentially a robot data recorder, to inform robot accident investigation processes and the implications for HRI.

A multi-objective linear optimization model for designing sustainable closed-loop agricultural supply chain (2020)
Conference Proceeding
Kumar, V., Reyhani, H., Jabarzadeh, Y., Ghaffarinasab,, N., & Garza-Reyes, J. A. (2020). A multi-objective linear optimization model for designing sustainable closed-loop agricultural supply chain

Demand for agricultural products will grow by nearly 70 percent in 2050 and high volume of chemical pesticides and agricultural fertilizers along with considerable waste in this sector induces serious environmental concerns. Hence it is not a priorit... Read More about A multi-objective linear optimization model for designing sustainable closed-loop agricultural supply chain.

Lean readiness level of the Azerbaijan construction industry (2020)
Conference Proceeding
Aghayev, H., Arturo, J., Nadeem, S. P., Kumar, A., Kumar, V., Rocha-Lona, L., & González-Aleu, F. (2020). Lean readiness level of the Azerbaijan construction industry

This paper identifies and measures the Lean readiness of the Azerbaijan construction industry. A survey questionnaire was utilised to evaluate the Lean readiness of this industry by measuring its quality practices and to test three hypotheses. The Le... Read More about Lean readiness level of the Azerbaijan construction industry.


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