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All Outputs (376)

Wide bandgap voltage source inverter design for automotive electric drivetrain (2018)
Conference Proceeding
Savi, F., Buticchi, G., Gerada, C., Wheeler, P., & Barater, D. (in press). Wide bandgap voltage source inverter design for automotive electric drivetrain

In this paper a high power, high frequency voltage source inverter for automotive traction application is reviewed. The main objectives of the design process is the maximization of power density, while keeping high efficiency and low weight. In this... Read More about Wide bandgap voltage source inverter design for automotive electric drivetrain.

Parametric study of optimum gate-resistance for performance and short-circuit robustness of novel half-bridge IGBT modules (2018)
Conference Proceeding
Cheraghinezhad, A., Hussein, A., Castellazzi, A., & Saito, K. (in press). Parametric study of optimum gate-resistance for performance and short-circuit robustness of novel half-bridge IGBT modules

This paper jointly investigates the switching performance and the short-circuit (S.C) turn off behavior of a novel half-bridge (2in1) IGBT power module concept with the low stray inductance (L?), which has been available in the market since 2015. Sin... Read More about Parametric study of optimum gate-resistance for performance and short-circuit robustness of novel half-bridge IGBT modules.

Control system design and the power management of MEFADEC assembled on More-Electric Aircraft (2018)
Conference Proceeding
Yin, M., Bozhko, S., Yao, T., & You, C. (in press). Control system design and the power management of MEFADEC assembled on More-Electric Aircraft

This paper deals with a novel control system design of More Electric Full Authorized Digital Electronic Control (MEFADEC) on the more electric aircraft. On the base of the analysis of the power management of MEFADEC system, the power of the more elec... Read More about Control system design and the power management of MEFADEC assembled on More-Electric Aircraft.

Getting more out of Stan: some ideas from the Haskell bindings (2018)
Conference Proceeding
NILSSON, H., NIELSEN, T. A., & STEINITZ, D. (2018). Getting more out of Stan: some ideas from the Haskell bindings

Stan has emerged as the most practical and widely used probabilistic programming language for Bayesian computation. As the capabilities within Stan for further processing of results from probabilistic computations is limited, Stan is often used from... Read More about Getting more out of Stan: some ideas from the Haskell bindings.

Incentive-compatible mechanisms for norm monitoring in open multi-agent systems (Extended abstract) (2018)
Conference Proceeding
Alechina, N., Halpern, J. Y., Kash, I. A., & Logan, B. (2018). Incentive-compatible mechanisms for norm monitoring in open multi-agent systems (Extended abstract). In Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence. https://doi.org/10.24963/ijcai.2018/781

We consider the problem of detecting norm violations in open multi-agent systems (MAS). In this extended abstract, we outline the approach of [Alechina et al., 2018], and show how, using ideas from scrip systems, we can design mecha... Read More about Incentive-compatible mechanisms for norm monitoring in open multi-agent systems (Extended abstract).

UnBias Youth Juries (2018)
Conference Proceeding
Dowthwaite, L., Creswick, H., Portillo, V., Cano, M., Vallejos, E. P., Koene, A., & Patel, M. (2018). UnBias Youth Juries. In SMSociety '18: Proceedings of the 9th International Conference on Social Media and Society (276-280). https://doi.org/10.1145/3217804.3217928

The UnBias Youth Juries engage young people in discussion of issues that affect their online lives, especially in relation to algorithms, through the presentation of scenarios and prompts. Results from the first wave of juries, held in February 2017,... Read More about UnBias Youth Juries.

Modelling adaptive systems using plausible Petri nets (2018)
Conference Proceeding
Chiachío, J., Chiachío, M., Prescott, D., & Andrews, J. (2018). Modelling adaptive systems using plausible Petri nets. In 8th International Workshop on Reliable Engineering Computing, “ Computing with Confidence ”

One of the main challenges when analyzing and modelling complex systems using Petri nets is to deal with uncertain information, and moreover, to be able to use such uncertainty to dynamically adapt the modelled system to uncertain (changing) contextu... Read More about Modelling adaptive systems using plausible Petri nets.

Design of a 43kW switched reluctance machine for a high performance hybrid electric vehicle (2018)
Conference Proceeding
Talha, A., Vakil, G., Cox, T., & Gerada, C. (2018). Design of a 43kW switched reluctance machine for a high performance hybrid electric vehicle. In NA

A switched reluctance machine (SRM) is very robust and capable to perform well under harsh conditions. It is simple in construction and avoids the use of magnets so it is cheap to manufacture. The powertrain of a hybrid vehicle presents challenging c... Read More about Design of a 43kW switched reluctance machine for a high performance hybrid electric vehicle.

Pneumatic membranes for biogas plants (2018)
Conference Proceeding
Beccarelli, P., & Maffei, R. (2018). Pneumatic membranes for biogas plants. In Proceedings of the IASS Annual Symposium 2018: Creativity in structural design

The biogas sector had a rapid development in the last decade with several new industrial plants realized all over Europe and Worldwide. The intrinsic efficiency of membrane structures [1] provided a cost effective solution to cover digesters, bio-fil... Read More about Pneumatic membranes for biogas plants.

Uncertainty quantification for random fields estimated from effective moduli of elasticity (2018)
Conference Proceeding
Pierce-Brown, J., Neves, L. C., & Brown, D. L. (2018). Uncertainty quantification for random fields estimated from effective moduli of elasticity. In Proceedings of the 8th International Workshop on Reliable Computing "Computing with Confidence", 16-18 July 2018, University of Liverpool, Liverpool, UK (51-62)

The stochastic finite element method is a useful tool to calculate the response of systems subject to uncertain parameters and has been applied extensively to analyse structures composed of randomly heterogeneous materials. The methodology to estimat... Read More about Uncertainty quantification for random fields estimated from effective moduli of elasticity.

Resource logics with a diminishing resource: extended abstract (2018)
Conference Proceeding
Alechina, N., & Logan, B. (2018). Resource logics with a diminishing resource: extended abstract. In Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018)

Model-checking resource logics with production and consumption of resources is a computationally hard and often undecidable problem. We show that it is more feasible under the assumption that there is at least one diminishing resource, that is, a res... Read More about Resource logics with a diminishing resource: extended abstract.

A bidirectional subsethood based similarity measure for fuzzy sets (2018)
Conference Proceeding
Kabir, S., Wagner, C., Havens, T. C., & Anderson, D. T. (2018). A bidirectional subsethood based similarity measure for fuzzy sets. In N/A

Similarity measures are useful for reasoning about fuzzy sets. Hence, many classical set-theoretic similarity measures have been extended for comparing fuzzy sets. In previous work, a set-theoretic similarity measure considering the bidirectional sub... Read More about A bidirectional subsethood based similarity measure for fuzzy sets.

Exploring subsethood to determine firing strength in non-singleton fuzzy logic systems (2018)
Conference Proceeding
Pekaslan, D., Garibaldi, J. M., & Wagner, C. (2018). Exploring subsethood to determine firing strength in non-singleton fuzzy logic systems.

Real world environments face a wide range of sources of noise and uncertainty. Thus, the ability to handle various uncertainties, including noise, becomes an indispensable element of automated decision making. Non-Singleton Fuzzy Logic Systems (NSFLS... Read More about Exploring subsethood to determine firing strength in non-singleton fuzzy logic systems.

A Preliminary Study of the Feasibility of Global Evolutionary Feature Selection for Big Datasets under Apache Spark (2018)
Conference Proceeding
Galar, M., Triguero, I., Bustince, H., & Herrera, F. (2018). A Preliminary Study of the Feasibility of Global Evolutionary Feature Selection for Big Datasets under Apache Spark. In 2018 IEEE Congress on Evolutionary Computation (CEC) - Proceedings (1-8). https://doi.org/10.1109/CEC.2018.8477878

Designing efficient learning models capable of dealing with tons of data has become a reality in the era of big data. However, the amount of available data is too much for traditional data mining techniques to be applicable. This issue is even more s... Read More about A Preliminary Study of the Feasibility of Global Evolutionary Feature Selection for Big Datasets under Apache Spark.

A genetic algorithm with composite chromosome for shift assignment of part-time employees (2018)
Conference Proceeding
Xue, N., Landa-Silva, D., Triguero, I., & Figueredo, G. P. (2018). A genetic algorithm with composite chromosome for shift assignment of part-time employees.

Personnel scheduling problems involve multiple tasks, including assigning shifts to workers. The purpose is usually to satisfy objectives and constraints arising from management, labour unions and employee preferences. The shift assignment problem is... Read More about A genetic algorithm with composite chromosome for shift assignment of part-time employees.