All Outputs (25)

Neural Network based Weighting Factor Selection of MPC for Optimal Battery and Load Management in MEA (2020)
Conference Proceeding
Wang, X., Gao, Y., Atkin, J., & Bozhko, S. (2020). Neural Network based Weighting Factor Selection of MPC for Optimal Battery and Load Management in MEA. . https://doi.org/10.23919/icems50442.2020.9290968

This paper presents a Neural Network (NN)-based weighting factor (WF) selection method for the multi-objective cost function in Model Predictive Control (MPC). MPC is adopted for scheduling the loads and charging/discharging the battery intelligently... Read More about Neural Network based Weighting Factor Selection of MPC for Optimal Battery and Load Management in MEA.

Following the journey of scores through a complex musical work (2020)
Conference Proceeding
Hazzard, A., Greenhalgh, C., & Kallionpää, M. (2020). Following the journey of scores through a complex musical work. In AM '20: Proceedings of the 15th International Audio Mostly Conference (249-252). https://doi.org/10.1145/3411109.3411116

We chart the composition and technical development of a non-linear, interactive work for pianist, Disklavier piano and interactive system called Climb!. Collaborating with a composer and performers we focus on the journey of score representations thr... Read More about Following the journey of scores through a complex musical work.

Acoustic topology optimisation using CMA-ES (2020)
Conference Proceeding
Ramamoorthy, V. T., Ozcan, E., Parkes, A., Sreekumar, A., Jaouen, L., & Becot, F. (2020). Acoustic topology optimisation using CMA-ES. In Proceedings of ISMA2020 International Conference on Noise and Vibration Engineering: USD2020 International Conference on Uncertainty in Structural Dynamics

Structural topology optimisation techniques are increasingly being applied to acoustic materials. Most acoustic topology optimisation applications use the solid-isotropic-material-with-penalization (SIMP) approach [1]–[4] which is a derivative-based... Read More about Acoustic topology optimisation using CMA-ES.

Optimal Weight Power System Design and Synthesis for More Electric Aircraft (2020)
Conference Proceeding
Recalde, A. A., Bozhko, S., & Atkin, J. (2020). Optimal Weight Power System Design and Synthesis for More Electric Aircraft. In AIAA Propulsion and Energy 2020 Forum. https://doi.org/10.2514/6.2020-3545

© 2020, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved. The synthesis of a power distribution architecture for More Electric Aircraft requires weight optimization in order to reduce energy consumption. The weight of... Read More about Optimal Weight Power System Design and Synthesis for More Electric Aircraft.

Linear Power Flow Characterization of DC Power Distribution Systems for MEA Optimization (2020)
Conference Proceeding
RECALDE, A., BOZHKO, S., & ATKIN, J. (2020). Linear Power Flow Characterization of DC Power Distribution Systems for MEA Optimization. In 2020 IEEE Transportation Electrification Conference & Expo (ITEC). https://doi.org/10.1109/ITEC48692.2020.9161584

The increased utilization of electrical energy in future aviation requires an efficient method to perform load flow for optimizing on-board operating conditions. Load flow models of electrical networks are complex to solve and requires iterative meth... Read More about Linear Power Flow Characterization of DC Power Distribution Systems for MEA Optimization.

Comparing Intervals Using Type Reduction (2020)
Conference Proceeding
Runkler, T. A., Chen, C., Coupland, S., & John, R. (2020). Comparing Intervals Using Type Reduction. In 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (1-6). https://doi.org/10.1109/fuzz48607.2020.9177675

Many decision making processes are based on choosing options with maximum utility. Often utility assessments are associated with uncertainty, which may be mathematically modeled by intervals of utilities. Intervals of utilities may be mapped to singl... Read More about Comparing Intervals Using Type Reduction.

FuzzyR: An Extended Fuzzy Logic Toolbox for the R Programming Language (2020)
Conference Proceeding
Chen, C., Razak, T. R., & Garibaldi, J. M. (2020). FuzzyR: An Extended Fuzzy Logic Toolbox for the R Programming Language. In 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (1-8). https://doi.org/10.1109/fuzz48607.2020.9177780

This paper presents an R package FuzzyR which is an extended fuzzy logic toolbox for the R programming language. FuzzyR is a continuation of the previous Fuzzy R toolboxes such as FuzzyToolkitUoN. Whilst keeping existing functionalities of the previo... Read More about FuzzyR: An Extended Fuzzy Logic Toolbox for the R Programming Language.

An Adaptive Memetic P System to Solve the 0/1 Knapsack Problem (2020)
Conference Proceeding
Dong, J., Rong, H., Neri, F., Yang, Q., Zhu, M., & Zhang, G. (2020). An Adaptive Memetic P System to Solve the 0/1 Knapsack Problem. In Proceedings of the 2020 IEEE Congress on Evolutionary Computation (1-8). https://doi.org/10.1109/CEC48606.2020.9185841

© 2020 IEEE. Memetic Algorithms are traditionally composed of an evolutionary framework and one or more local search elements. However, modern generation Memetic Algorithms do not necessarily follow a pre-established scheme and are hybrid structures... Read More about An Adaptive Memetic P System to Solve the 0/1 Knapsack Problem.

Insights from interval-valued ratings of consumer products - a DECSYS appraisal (2020)
Conference Proceeding
Ellerby, Z., Miles, O., McCulloch, J., & Wagner, C. (2020). Insights from interval-valued ratings of consumer products - a DECSYS appraisal. In 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (1-8). https://doi.org/10.1109/FUZZ48607.2020.9177634

The capture and analysis of interval-valued data has seen increased interest over recent years. This offers a direct means to capture and reason about uncertainty in data, whether obtained from sensors or from people. Open-source software (DECSYS [1]... Read More about Insights from interval-valued ratings of consumer products - a DECSYS appraisal.

Covariance Local Search for Memetic Frameworks: A Fitness Landscape Analysis Approach (2020)
Conference Proceeding
Neri, F., & Zhou, Y. (2020). Covariance Local Search for Memetic Frameworks: A Fitness Landscape Analysis Approach. In 2020 IEEE Congress on Evolutionary Computation (CEC) (1-8). https://doi.org/10.1109/CEC48606.2020.9185548

© 2020 IEEE. The design of each agent composing a Memetic Algorithm (MA) is a delicate task which often requires prior knowledge of the problem to be effective. This paper proposes a method to analyse one feature of the fitness landscape, that is the... Read More about Covariance Local Search for Memetic Frameworks: A Fitness Landscape Analysis Approach.

Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning (2020)
Conference Proceeding
Bermudez, A., Calderon-Ramirez, S., Thang, T., Tyrrell, P., Moemeni, A., Yang, S., & Torrents-Barrena, J. (2020). Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning. . https://doi.org/10.1109/IJCNN48605.2020.9206779

Photostimulable Phosphor Plates are commonly used in digital X-ray imaging for dentistry. During its usage, these plates get damaged, influencing the diagnosis performance and confidence of the dentistry professional. We propose a deep learning based... Read More about Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning.

Intention Progression under Uncertainty (2020)
Conference Proceeding
Yao, Y., Alechina, N., Logan, B., & Thangarajah, J. (2020). Intention Progression under Uncertainty. In C. Bessiere (Ed.), Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020) (10-16). https://doi.org/10.24963/ijcai.2020/2

A key problem in Belief-Desire-Intention agents is how an agent progresses its intentions, i.e., which plans should be selected and how the execution of these plans should be interleaved so as to achieve the agent’s goals. Previous approaches to the... Read More about Intention Progression under Uncertainty.

NottReal: A Tool for Voice-based Wizard of Oz studies (2020)
Conference Proceeding
Porcheron, M., Fischer, J. E., & Valstar, M. (2020). NottReal: A Tool for Voice-based Wizard of Oz studies. In CUI '20: Proceedings of the 2nd Conference on Conversational User Interfaces (1–3). https://doi.org/10.1145/3405755.3406168

We present NottReal, an application designed for simulating Voice User Interfaces (VUIs) in Wizard of Oz studies. We briefly discuss the premise and advantages of the Wizard of Oz method before moving onto introducing the design of the application, w... Read More about NottReal: A Tool for Voice-based Wizard of Oz studies.

Developing a measure of online wellbeing and user trust (2020)
Conference Proceeding
Dowthwaite, L., Perez Vallejos, E., Creswick, H., Portillo, V., Patel, M., & Zhao, J. (2020). Developing a measure of online wellbeing and user trust. In Paradigm Shifts in ICT Ethics: Proceedings of the ETHICOMP 2020 18th International Conference on the Ethical and Social Impacts of ICT (26-28)

This paper describes the first stage of the ongoing development of two scales to measure online wellbeing and trust, based on the results of a series of workshops with younger and older adults. The first, the Online Wellbeing Scale includes subscales... Read More about Developing a measure of online wellbeing and user trust.

The Integers as a Higher Inductive Type (2020)
Conference Proceeding
Altenkirch, T., & Scoccola, L. (2020). The Integers as a Higher Inductive Type. In LICS '20: Proceedings of the 35th Annual ACM/IEEE Symposium on Logic in Computer Science (67-73). https://doi.org/10.1145/3373718.3394760

We consider the problem of defining the integers in Homotopy Type Theory (HoTT). We can define the type of integers as signed natural numbers (i.e., using a coproduct), but its induction principle is very inconvenient to work with, since it leads to... Read More about The Integers as a Higher Inductive Type.

Visions, Values, and Videos: Revisiting Envisionings in Service of UbiComp Design for the Home (2020)
Conference Proceeding
Nilsson, T., Fischer, J. E., Crabtree, A., Goulden, M., Spence, J., & Costanza, E. (2020). Visions, Values, and Videos: Revisiting Envisionings in Service of UbiComp Design for the Home. In DIS '20: Proceedings of the 2020 ACM Designing Interactive Systems Conference (827–839). https://doi.org/10.1145/3357236.3395476

UbiComp has been envisioned to bring about a future dominated by calm computing technologies making our everyday lives ever more convenient. Yet the same vision has also attracted criticism for encouraging a solitary and passive lifestyle. The aim of... Read More about Visions, Values, and Videos: Revisiting Envisionings in Service of UbiComp Design for the Home.

Exploring Problem State Transformations to Enhance Hyper-heuristics for the Job-Shop Scheduling Problem (2020)
Conference Proceeding
Garza-Santisteban, F., Amaya, I., Cruz-Duarte, J., Ortiz-Bayliss, J. C., Ozcan, E., & Terashima-Marin, H. (2020). Exploring Problem State Transformations to Enhance Hyper-heuristics for the Job-Shop Scheduling Problem. In 2020 IEEE Congress on Evolutionary Computation (CEC) (1-8). https://doi.org/10.1109/CEC48606.2020.9185709

This study presents an offline learning Simulated Annealing approach to generate a constructive hyper-heuristic evaluated through training and testing on a set of instances for solving the Job-Shop Scheduling problem. The generated hyperheuristic use... Read More about Exploring Problem State Transformations to Enhance Hyper-heuristics for the Job-Shop Scheduling Problem.

Provably Robust Decisions based on Potentially Malicious Sources of Information (2020)
Conference Proceeding
Muller, T., Wang, D., & Sun, J. (2020). Provably Robust Decisions based on Potentially Malicious Sources of Information. In 2020 IEEE 33rd Computer Security Foundations Symposium (CSF) (411-425). https://doi.org/10.1109/csf49147.2020.00036

Sometimes a security-critical decision must be made using information provided by peers. Think of routing messages, user reports, sensor data, navigational information, blockchain updates. Attackers manifest as peers that strategically report fake in... Read More about Provably Robust Decisions based on Potentially Malicious Sources of Information.

"It's your private information. it's your life.": young people's views of personal data use by online technologies (2020)
Conference Proceeding
Dowthwaite, L., Creswick, H., Portillo, V., Zhao, J., Patel, M., Perez Vallejos, E., …Jirotka, M. (2020). "It's your private information. it's your life.": young people's views of personal data use by online technologies. In IDC '20: Proceedings of the Interaction Design and Children Conference (121-134). https://doi.org/10.1145/3392063.3394410

Children and young people make extensive and varied use of digital and online technologies, yet issues about how their personal data may be collected and used by online platforms are rarely discussed. Additionally, despite calls to increase awareness... Read More about "It's your private information. it's your life.": young people's views of personal data use by online technologies.

Crowdsourcing in China: Exploring the Work Experiences of Solo Crowdworkers and Crowdfarm Workers (2020)
Conference Proceeding
Wang, Y., Papangelis, K., Khan, V., Lykourentzou, I., Chamberlain, A., & Saker, M. (2020). Crowdsourcing in China: Exploring the Work Experiences of Solo Crowdworkers and Crowdfarm Workers. In CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, April 2020

Recent research highlights the potential of crowdsourcing in China. Yet very few studies explore the workplace context and experiences of Chinese crowdworkers. Those that do, focus mainly on the work experiences of solo crowdworkers but do not deal w... Read More about Crowdsourcing in China: Exploring the Work Experiences of Solo Crowdworkers and Crowdfarm Workers.