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8 Papers

Polarization Dependent Loss Emulator Built with Computer-driven Polarization Controllers and Single Mode Fibre

Topics: Optical Networks Performance Modeling; Design, Control and Management of Optical Networks; Next Generation Optical Networking

Authors: Yangzi Liu , Peter Shepherd and Duncan Allsopp

Affiliation: University of Bath, United Kingdom

Digital Object Identifier: 10.5220/0005563700420047

Proceedings of OPTICS 2015/ICETE, ISBN: 978-989-758-116-8

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In this paper, a polarization dependent loss emulator is designed with computer-driven polarization controllers and single mode fibre. It proves that PDL obeys Maxwellian distribution when it is expressed in decibels. By positioning the polarization controllers at different places in the emulator link, it also proves that positions of PDL components have a significant effect on the statistics of PDL in a fixed length communication system. As the number of polarization components involved and the communication fibre length remain as constants, the longer the uninterrupted fibre is, the smaller the PDL mean value is produced.
Collapse Button Related Ontology Subjects/Areas/Topics (4)
Design, Control and Management of Optical Networks

Optical Networks Performance Modeling

Telecommunications
Optical Communication Systems

Temporally Consistent Snow Cover Estimation from Noisy, Irregularly Sampled Measurements

Topic: Categorization and Scene Understanding

Authors: Dominic Rüfenacht 1 , Matthew Brown 2 , Jan Beutel 3 and Sabine Süsstrunk 1

Affiliations: 1 EPFL, Switzerland , 2 University of Bath, United Kingdom , 3 ETH Zurich, Switzerland

Digital Object Identifier: 10.5220/0004657202750283

Proceedings of VISAPP 2014/VISIGRAPP, ISBN: 978-989-758-004-8

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We propose a method for accurate and temporally consistent surface classification in the presence of noisy, irregularly sampled measurements, and apply it to the estimation of snow coverage over time. The input imagery is extremely challenging, with large variations in lighting and weather distorting the measurements. Initial snow cover estimations are obtained using a Gaussian Mixture Model of color. To achieve a temporally consistent snow cover estimation, we use a Markov Random Field that penalizes rapid fluctuations in the snow state, and show that the penalty term needs to be quite large, resulting in slow reactivity to changes. We thus propose a classifier to separate good from uninformative images, which allows to use a smaller penalty term. We show that the incorporation of domain knowledge to discard uninformative images leads to better reactivity to changes in snow coverage as well as more accurate snow cover estimations.

ALGORITHM TO MAINTAIN LINEAR ELEMENT IN 3D LEVEL SET TOPOLOGY OPTIMIZATION

Authors: Christopher J. Brampton , Alicia H. Kim and James L. Cunningham

Affiliation: University of Bath, United Kingdom

Digital Object Identifier: 10.5220/0003860003410350

Proceedings of SADM 2012/ICPRAM, ISBN: 978-989-8425-98-0

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In level set topology optimization the boundary of the structure is defined by level set function values stored at the nodes of a regular gird of simple bilinear elements. By changing the level set function values according to optimization sensitivities the boundary of the structure is moved to create an optimal structure. However it is possible for the boundary to cut an element more than once; violating the linear element assumptions resulting in insufficient nodal information for the optimization sensitivity calculations. To resolve this the local boundary of the structure is moved so that each element is only cut once. In 2D where a square element mesh is used an element cut twice times is altered by moving one of the boundaries within the element to intercept the node closest to it removing the extra cut from the element. In 3D where a voxel mesh is used the process of moving the boundary within an element is more complicated due to the greater number of boundary cuts possible and the effect that it can have on neighbouring elements. An algorithm is developed which allows the boundary within a 3D element to be moved with these considerations taken into account.

OPTIMUM TRAJECTORY PLANNING FOR INDUSTRIAL ROBOTS THROUGH INVERSE DYNAMICS

Topics: Mechatronic Systems; Evolutionary Computation and Control; Optimization Algorithms; Systems Modeling and Simulation; Industrial Automation and Robotics

Authors: K. Koray Ayten , P. Iravani and M. Necip Sahinkaya

Affiliation: University of Bath, United Kingdom

Digital Object Identifier: 10.5220/0003536301050110

Proceedings of ICINCO 2011, ISBN: 978-989-8425-74-4

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This paper presents a method for developing robot trajectories that achieve minimum energy consumption for a point-to-point motion under kinematic and dynamic constraints. The method represents trajectories as a fourth degree B-spline function. The parameters of the function are optimised using a multi-parametric optimization algorithm. Actuator torques have been considered for the formulation of the cost function, which utilizes an inverse dynamics analysis. Compared to other trajectory optimization techniques, the proposed method allows kinematic and dynamic constraints to be included in the cost function. Thus, the complexity and computational effort of the optimization algorithm is reduced. A two-link simulated robot manipulator is used to demonstrate the effectiveness of the method.
Collapse Button Related Ontology Subjects/Areas/Topics (8)
Evolutionary Computation and Control

Informatics in Control, Automation and Robotics

Optimization Algorithms

Industrial Automation and Robotics

Intelligent Control Systems and Optimization

Systems Modeling and Simulation
Industrial Engineering

Mechatronic Systems

ITERATIVE IMAGE RECONSTRUCTION METHODS IN CONE BEAM CT APPLIED TO PHANTOM AND CLINICAL DATA

Topic: Image Quality

Authors: W. Qiu 1 , M. Soleimani 1 , C. N. Mitchell 1 , Tom Marchant 2 and Chris Moore 2

Affiliations: 1 University of Bath, United Kingdom , 2 The Christie NHS Foundation Trust, United Kingdom

Digital Object Identifier: 10.5220/0002892005500553

Proceedings of ECSMIO 2010/VISIGRAPP, ISBN: 978-989-674-028-3

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Cone beam computed tomography (CBCT) enables a volumetric image reconstruction from 2D projection data. In CBCT reconstruction, iterative methods of image reconstruction offer the potential to generate high quality images and would be an advantage especially for sparse data sets. CBCT image reconstruction software has been developed based on Multi-Instrument Data Analysis System (MIDAS) tomography toolbox. In this paper, we present a comparative study of SIRT and ART algorithms, developed in MIDAS platform. The results will be shown using phantom and clinical patient data.
Collapse Button Related Ontology Subjects/Areas/Topics (3)
Computer Vision, Visualization and Computer Graphics

Image Formation and Preprocessing

Image Quality

DYNAMIC SERVICE RECONFIGURATION AND ENACTMENT USING AN OPEN MATCHING ARCHITECTURE

Topics: Semantic Web; Grid Computing; Multi-Agent Systems; Brokering and Matchmaking

Authors: Sander van Splunter 1 , Frances Brazier 1 , Julian Padget 2 and Omar Rana 3

Affiliations: 1 VU University Amsterdam, Netherlands , 2 University of Bath, United Kingdom , 3 Cardiff University, United Kingdom

Digital Object Identifier: 10.5220/0001663605330539

Proceedings of ICAART 2009, ISBN: 978-989-8111-66-1

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An architecture for dynamic reconfiguration of complex services, in which the enactment is automated, and the matching of services is not limited to a pre-determined set of matchers and repositories, is presented. The proposed architecture consists of three, previously developed, components: the CoWS template-based reconfiguration service, the Knoogle MatchMaker service, and the Triana workflow enactment engine. This architecture has the following innovative aspects: 1) automated adaptation of complex services, which is more flexible than existing approaches based on replacing failing instances of services within a workflow, 2) use of heterogeneous components that may be both local and distributed, and 3) dynamic selection of matchers and repositories.
Collapse Button Related Ontology Subjects/Areas/Topics (19)
Agents

Enterprise Information Systems

Semantic Web

Artificial Intelligence

Grid Computing

Soft Computing

Artificial Intelligence and Decision Support Systems

Internet Technology

Software Engineering

Brokering and Matchmaking

Knowledge Engineering and Ontology Development

Symbolic Systems

Collaboration and e-Services

Knowledge-Based Systems

Technology Platforms

Distributed and Mobile Software Systems

Multi-Agent Systems

Web Information Systems and Technologies
e-Business

GENERATING HUMAN INTERACTIVE BEHAVIOURS USING THE WINDOWED VITERBI ALGORITHM

Topics: Augmented, Mixed and Virtual Environments; Collaborative Augmented, Mixed and Virtual Environments; Real-Time Graphics; Virtual Humans and Artificial Life

Authors: Yue Zheng 1 , Yulia Hicks 1 , Dave Marshall 1 and Darren Cosker 2

Affiliations: 1 Cardiff University, United Kingdom , 2 Bath University, United Kingdom

Digital Object Identifier: 10.5220/0001097503530358

Proceedings of GRAPP 2008/VISIGRAPP, ISBN: 978-989-8111-20-3

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In this paper, we propose a new approach for generating interactive behaviours for virtual characters, namely the windowed Viterbi algorithm, capable of doing so in real-time. Consequently, we compare the performance of the standard Viterbi algorithm and the windowed Viterbi algorithm within our system. Our system tracks and analyses the behaviour of a real person in video input and produces a fully articulated three dimensional (3D) character interacting with the person in the video input. Our system is model-based. Prior to tracking, we train a collection of dual Hidden Markov Model (HMM) on 3D motion capture (MoCap) data representing a number of interactions between two people. Then using the dual HMM, we generate a moving virtual character reacting to (the motion of) a real person. In this article, we present the detailed evaluation of using the windowed Viterbi algorithms within our system, and show that our approach is suitable for generating interactive behaviours in real-time.
Collapse Button Related Ontology Subjects/Areas/Topics (5)
Augmented, Mixed and Virtual Environments

Interactive Environments

Virtual Humans and Artificial Life
Computer Vision, Visualization and Computer Graphics

Real-Time Graphics

SYNTHESIS OF VELOCITY REFERENCE CAM FUNCTIONS FOR SMOOTH OPERATION OF HIGH SPEED MECHANISMS

Topics: Computer and Microprocessor-Based Control; Real-Time Systems Control; System Identification; Hybrid Dynamical Systems

Authors: Robert M. C. Rayner and M. Necip Sahinkaya

Affiliation: University of Bath, United Kingdom

Digital Object Identifier: 10.5220/0001501901830187

Proceedings of ICINCO 2008, ISBN: 978-989-8111-32-6

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The purpose of the paper is to improve the dynamic performance of a mechanism used in a packaging machine in order to run the system at higher speeds with lower vibration and noise levels. A method of synthesising a velocity demand signal as a function of crank position (i.e. cam function) is demonstrated for a prototype mechanism and drive system. The method aims to minimise the peak to peak actuation torque requirements in order to minimise the vibration of the mechanism. First of all, experimental results are utilised to identify the drive system parameters. A dynamic simulation package is used to model the nonlinear dynamics of the mechanism. The model based synthesis of velocity reference cam functions is performed at increasing mechanism actuation speeds. The performance of the system using the proposed velocity demand cam function is compared with the conventional constant speed reference case at different running speeds.
Collapse Button Related Ontology Subjects/Areas/Topics (6)
Computer and Microprocessor-Based Control

Informatics in Control, Automation and Robotics

Signal Processing, Sensors, Systems Modeling and Control

Hybrid Dynamical Systems

Real-Time Systems Control

System Identification

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