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IEEE/RSJ International conference on Intelligent Robots and Systems

作者： Neil Dhir Yura Perov Frank Wood Department of Engineering Science University of Oxford Parks Road OX1 3PJ United Kingdom

ISBN: (纸本)9781509037636

human locomotion and activity recognition systems form a critical part in a robot's ability to safely and effectively operate in a environment populated with human end users. Previous work in this area relies upon strong assumptions about the labels in the training data;e.g. that are noise-free and that they exist at all. Our approach does not predefine the relevant behaviours or their number, as both are learned directly from observations, similar to real-world human-robot interactions, where labels are neither available. Instead we introduce models that make no assumptions about the state space, by presenting a fully unsupervised nonparametric Bayesian recognition approach, in which we leverage recent advances in state space modelling with automatic inference using probabilistic programming. We demonstrate the utility of full model optimisation using Bayesian optimisation and validate our approach on several challenging problems, using different feature modalities.

关键词： Hidden Markov models Bayes methods mathematical model Optimization Probabilistic logic Mixture models

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modelling of Asphalt Concrete Stiffness in the Linear Viscoelastic Region

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IOP conference Series: Materials Science and engineering 2017年第3期245卷

作者： Grzegorz Mazurek Marek Iwański Department of Transportation Engineering Faculty of Civil Engineering and Architecture Kielce University of Technology Al. Tysiąclecia Państwa Polskiego 7 25-314 Kielce

Stiffness modulus is a fundamental parameter used in the modelling of the viscoelastic behaviour of bituminous mixtures. On the basis of the master curve in the linear viscoelasticity range, the mechanical properties of asphalt concrete at different loading times and temperatures can be predicted. This paper discusses the construction of master curves under rheological mathematical models i.e. the sigmoidal function model (MEPDG), the fractional model, and Bahia and co-workers' model in comparison to the results from mechanistic rheological models i.e. the generalized Huet-Sayegh model, the generalized Maxwell model and the Burgers model. For the purposes of this analysis, the reference asphalt concrete mix (denoted as AC16W) intended for the binder coarse layer and for traffic category KR3 (5×105

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Optimising a constrained echo state network using evolutionary algorithms for learning mental models of complex dynamical systems

Optimising a constrained echo state network using evolutiona...

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International Joint conference on Neural Networks

作者： Hassan Abdelbari Kamran Shafi School of Engineering and Information Technology University of New South Wales

ISBN: (纸本)9781509006212

Mental models are pen pictures that are used to represent complex systems and their aspects including views of different system stakeholders. They are used extensively in complex system modelling and play a critical role in model development. In this paper we investigate an echo state network (ESN) encoded with limited number of reservoir nodes to automatically learn mental models through the use of system observations. Three different evolutionary algorithms, genetic algorithm (GA), differential evolution (DE) and particle swarm optimisation (PSO) are used to optimise the weights and design parameters of ESN in order to learn models closer to manually developed models. Such an approach can be useful in reducing the modelling effort required by human modellers as well as the subjective bias in model development. The empirical analysis using two case studies shows that the ESN encoded with restricted number of nodes and optimised by different evolutionary algorithms guided with a combined fitness function that takes both output error and reservoir connectivity into account is able to learn similar structure as original mental models as well as is able to generate the correct output behaviour.

关键词： Reservoirs Cognitive science Evolutionary computation Numerical models Computational modeling Complex systems Optimization

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Analytical Kinematics and Coupled Vibrations Analysis of Mechanical System Operated by Solar Array Drive Assembly

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IOP conference Series: Materials Science and engineering 2017年第1期224卷

作者： M Sattar C Wei A Jalali R Sattar School of Aeronautics Science & Engineering Beihang University Beijing China University of Engineering and Technology Taxila Pakistan Department of Mathematics Quaid-e-Azam University Islamabad Pakistan

To address the impact of solar array (SA) anomalies and vibrations on performance of precision space-based operations, it is important to complete its accurate jitter analysis. This work provides mathematical modelling scheme to approximate kinematics and coupled micro disturbance dynamics of rigid load supported and operated by solar array drive assembly (SADA). SADA employed in analysis provides a step wave excitation torque to activate the system. Analytical investigations into kinematics is accomplished by using generalized linear and Euler angle coordinates, applying multi-body dynamics concepts and transformations principles. Theoretical model is extended, to develop equations of motion (EoM), through energy method (Lagrange equation). The main emphasis is to research coupled frequency response by determining energies dissipated and observing dynamic behaviour of internal vibratory systems of SADA. The disturbance model captures discrete active harmonics of SADA, natural modes and vibration amplifications caused by interactions between active harmonics and structural modes of mechanical assembly. The proposed methodology can help to predict true micro disturbance nature of SADA operating rigid load. Moreover, performance outputs may be compared against actual mission requirements to assess precise spacecraft controller design to meet next space generation stringent accuracy goals.

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Simulation modelling of human aspects in software project environment 24

Simulation modelling of human aspects in software project en...

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24th Australasian Software engineering conference, ASWEC 2015

作者： Alshammri, Mohammed School of Computer Science Engineering and Mathematics Flinders University Adelaide Australia

ISBN: (纸本)9781450337960

human behaviour has significant impact on the performance of any project. Software projects are no exception. This paper presents a research plan to develop combined agent-based and system dynamics models to simulate software development process focusing on the behaviour of team members in a software project environment. The outcome of such research work can be used to explore the relationships between various factors, such as workload, stress, attitude, management approach, organisation process, as well as individual and team performance. It can also be used as a tool to help managers of software organisations to understand the importance of human aspects, and make better human resource management decisions for improved project performance.

关键词： human resource management

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A Machine-Learning Based Approach To Model User Occupancy And Activity Patterns For Energy Saving In Buildings

A Machine-Learning Based Approach To Model User Occupancy An...

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Science and Information conference (SAI)

作者： Ortega, J. L. Gomez Han, L. Whittacker, N. Bowring, N. Manchester Metropolitan Univ Sch Comp Math & Digital Technol Manchester M15 6BH Lancs England Manchester Metropolitan Univ Sch Engn Manchester M15 6BH Lancs England

ISBN: (纸本)9781479985470

Recently it has been noted that user behaviour can have a large impact on the final energy consumption in buildings. Through the combination of mathematical modelling and data from wireless ambient sensors, we can model human behaviour patterns and use the information to regulate building management systems (BMS) in order to achieve the best trade-off between user comfort and energy efficiency. In this work, we have modelled user occupancy and activity patterns using Machine Learning approaches. We have applied non-linear multiclass Support Vector Machines (SVMs) to deal with the complex nature of the data collected from various sensors to accurately identify user occupancy and activities of daily living (ADL) patterns. To validate our results, we also used other methodologies (i.e. Hidden-Markov Model and k-Nearest Neighbours). The experimental results show that our proposed approach outperforms the other methods for the scenarios evaluated.

关键词： Occupancy detection Activity recognition mathematical modelling Machine Learning SVMs

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Bicycle Rider Control modelling for Path Tracking 8

Bicycle Rider Control Modelling for Path Tracking

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8th Vienna International conference on mathematical modelling

作者： Edelmann, Johannes Haudinn, Martin Plochl, Manfred Vienna Univ Technol Inst Mech & Mechatron A-1040 Vienna Austria

Rider models are employed to gain insight into bicycle rider steering behaviour and to improve characteristic properties of bicycles. In this paper, stability properties as well as basic dynamic characteristics of the passive (uncontrolled) bicycle rider system and consequences on the rider control modelling are addressed. In particular, the unstable motion of the system at low velocities and bandwidth limitations caused by non-minimum phase dynamics are emphasized. To analyse the effectiveness of the steering torque and the lean torque as possible rider's inputs to control the dynamics of the bicycle, a controllability analysis of the bicycle rider system has been performed. It turns out that lean torque input, in contrast to steering torque input, has marginal impact on the dynamics of the system Finally, a bicycle rider control model considering human rider properties is presented, and its capabilities are demonstrated by performing a curve entering manoeuvre. (C) 2015, IFAC (International Federation of Automatic Control) Hosing by Elsevier Ltd. All rights reserved.

关键词： Bicycle Bicycle stability Bicycle rider Steering control Controllability Non-minimum phase systems

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NEW WAYS IN EDUCATION WITH SHAPE DESIGN 20

NEW WAYS IN EDUCATION WITH SHAPE DESIGN

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20th International conference on engineering Design (ICED)

作者： Heimrich, Felix Anderl, Reiner Tech Univ Darmstadt Darmstadt Germany

ISBN: (纸本)9781904670742

Today's product development process is characterized by increasing complexity of products. Subsequently universities have to adapt and constantly improve the content of their courses to prepare the future graduates for the free market economy. An approach at Technische Universitat Darmstadt to expand the scope of CAD education, is the introduction of a new one-week tutorial on shape design with Siemens NX. This paper will describe the teaching concept and its implementation. The concurrently submissions of the examinations with content from realistic industrial tasks play an important role during the course.

关键词： Computer aided design (CAD) Product modelling Evaluation Shape Design

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Failure rate prediction under adverse weather conditions in an electric Distribution System using Negative Binomial Regression

Failure rate prediction under adverse weather conditions in ...

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International conference on Harmonics and Quality of Power

作者： Rodrigo Zempulski Fanucchi Michel Bessani Marcos Henrique Marçal Camillo João Bosco Augusto London Carlos Dias Maciel Department of North Maintenance Copel Distribution S/A Londrina Brazil Department of Electrical and Computer Engineering University of São Paulo São Carlos Brazil

ISBN: (纸本)9781509037933

Weather conditions have an important influence on failure rates of Power Distribution Systems. An event with strong winds gust and a large number atmospheric discharge can increase the outages' quantity in a hard to predictable form and, consequently, impact in the System Average Interruption Duration Index (SAIDI). A modelling of such weather impact in failure rate is useful for a better understand of it, allowing utilities to take actions to understatement it or, even, mitigate its consequences in real time. Based on it, this paper analyses the response of Negative Binomial Regression in comparison with the Poisson Regression, using outages data (quantity) from a Brazilian distribution utility and meteorological information as wind gust speed and number of thunders, to estimate the number of expected outages and, consequently, the failure rate per kilometer. The focus is to provide a model that emulates the behaviour of system components and parts during a climatic event of any intensity and has more resilient against the outliers normally presented in this type of data set. The results indicate a significant influence of the wind gust speed, and, based on goodness-of-fit index as Akaike Information Criterion and the analysis of the outliers, the Negative Binomial Regression as the best response. The estimated function can be useful to improve the utilities' response, helping them to improve their contingency plan.

关键词： Atmospheric modeling Data models Discharges (electric) Wind speed mathematical model

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human comfort assessment of a steel-concrete composite multi-storey building subjected to aerobics 15

Human comfort assessment of a steel-concrete composite multi...

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15th International conference on Civil, Structural and Environmental engineering Computing, CIVIL-COMP 2015

作者： Campista, F. Gaspar, C.M.R. Da Silva, J. G. Santos Neves, L. F. Costa Civil Engineering Post-Graduate Programme State University of Rio de Janeiro Brazil Ctructural Engineering Department State University of Rio de Janeiro Brazil Civil Engineering Department University of Coimbra Portugal

The current design of steel-concrete composite floors might be susceptible to resonance phenomenon, causing undesirable vibrations in the frequency range that is the most noticeable to humans, i.e. 4Hz to 8Hz. In addition, it has been observed in design practice low floor structural damping ratios, which is related to the type of construction, materials, presence of non-structural elements, age and quality of the construction. Therefore, all these combinations make composite floors very susceptible to annoying vibrations induced by humans. Hence the main objective of the work, described in this paper, is to investigate the dynamic behaviour of a composite multi-storey building subjected to human rhythmic activities (aerobics). The structural model represents a typical interior floor bay of a commercial building used as a gym and is composed of three floor levels spanning 20m by 20m, with a total area of 3 × 400m2. An extensive parametric study was developed with the aim of obtaining the peak accelerations, RMS and VDV values once the investigated building develops a multi-modal behaviour. Thus, based on two different mathematical formulations used for modelling human rhythmic actions (aerobics), the worst dynamic design cases i.e. a resonance phenomenon, were induced for each natural frequency of the building that lies in the human force frequency range. The human comfort of the building was investigated and the vibration transmissibility related to the steel columns was verified. Based on the results, the composite multistorey building demonstrated high vibration levels that compromise the human comfort. ©Civil-Comp Press, 2015.

关键词： Vibration analysis

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