129,253 research outputs found

    Realising the open virtual commissioning of modular automation systems

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    To address the challenges in the automotive industry posed by the need to rapidly manufacture more product variants, and the resultant need for more adaptable production systems, radical changes are now required in the way in which such systems are developed and implemented. In this context, two enabling approaches for achieving more agile manufacturing, namely modular automation systems and virtual commissioning, are briefly reviewed in this contribution. Ongoing research conducted at Loughborough University which aims to provide a modular approach to automation systems design coupled with a virtual engineering toolset for the (re)configuration of such manufacturing automation systems is reported. The problems faced in the virtual commissioning of modular automation systems are outlined. AutomationML - an emerging neutral data format which has potential to address integration problems is discussed. The paper proposes and illustrates a collaborative framework in which AutomationML is adopted for the data exchange and data representation of related models to enable efficient open virtual prototype construction and virtual commissioning of modular automation systems. A case study is provided to show how to create the data model based on AutomationML for describing a modular automation system

    Implementing an Intelligent Retrieval System: The CODER System, Version 1.0

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    For individuals requiring interactive access to online text, information storage and retrieval systems provide a way to retrieve desired documents and/or text passages. The CODER (COmposite Document Expert/effective/extended Retrieval) system is a testbed for determining how useful various artificial intelligence techniques are for increasing the effectiveness of information storage and retrieval systems. The system, designed previously, has three components: an analysis subsystem for analyzing and storing document contents, a central spine for manipulations and storage of world and domain knowledge, and a retrieval subsystem for matching user queries to relevant documents. This thesis discusses the implementation of the retrieval subsystem and portions of the spine and analysis subsystem. It illustrates that logic programming, specifically with the Prolog language, is suitable for development of an intelligent information retrieval system. Furthermore, it shows that system modularity provides a flexible research testbed, allowing many individuals to work on different parts of the system which may later be quickly integrated. The retrieval subsystem has been implemented in a modular fashion so that new approaches to information can be easily compared to more traditional ones. A powerful knowledge representation language, a comprehensive lexicon, and individually tailored experts using standardized blackboard modules for communication and control allowed rapid prototyping, incremental development and ready adaptability to change. The system executes on a DEC VAX 11/785 running ULTRIX (TM), a variant of 4.2 BSD UNIX. It has been implemented as a set of MU-Prolog and C modules communicating through TCP/IP sockets

    Inférences réflexives dans la publicité

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    Advertisements are so ubiquitous nowadays that capturing the addressee’s attention and maintaining it long enough for them to be fully processed have become fundamental objectives for advertisers. Employing specific strategies in the design of the advertisement contributes efficiently to achieving these goals, getting the audience not only to attend the stimulus but also to process it in certain ways favourable for the advertiser. We argue that Relevance theory, an approach to communication built on a massively modular view of cognition, offers the right tools to explain the nature of the interpretative processes in verbal comprehension. Knowledge of the relevance-based reflexive inferential procedures involved in utterance interpretation allows advertisers to foresee the addressee’s processing behaviour, giving them the possibility to control it in a such a way that the intended interpretative effects are achieved in the desired way

    Identifying component modules

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    A computer-based system for modelling component dependencies and identifying component modules is presented. A variation of the Dependency Structure Matrix (DSM) representation was used to model component dependencies. The system utilises a two-stage approach towards facilitating the identification of a hierarchical modular structure. The first stage calculates a value for a clustering criterion that may be used to group component dependencies together. A Genetic Algorithm is described to optimise the order of the components within the DSM with the focus of minimising the value of the clustering criterion to identify the most significant component groupings (modules) within the product structure. The second stage utilises a 'Module Strength Indicator' (MSI) function to determine a value representative of the degree of modularity of the component groupings. The application of this function to the DSM produces a 'Module Structure Matrix' (MSM) depicting the relative modularity of available component groupings within it. The approach enabled the identification of hierarchical modularity in the product structure without the requirement for any additional domain specific knowledge within the system. The system supports design by providing mechanisms to explicitly represent and utilise component and dependency knowledge to facilitate the nontrivial task of determining near-optimal component modules and representing product modularity

    Is the Mind Massively Modular?

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    Articl

    The learning network on sustainability: An e-mechanism for the development and diffusion of teaching materials and tools on design for sustainability in an open-source and copy left ethos

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    This is the post-print version of the Article. The official published version can be obtained from the link below - Copyright @ 2011 InderscienceThis paper presents the intermediate results of the Learning Network on Sustainability (LeNS) project, Asian-European multi-polar network for curricula development on Design for Sustainability. LeNS is a mechanism to develop and diffuse system design for sustainability in design schools with a transcultural perspective. The main output of the project is the Open Learning E-Package (OLEP), an open web-platform that allows a decentralised and collaborative production and fruition of knowledge. Apart from the contents, the same LeNS web-platform is realised in an open-source and copy left ethos, allowing its download and reconfiguration in relation to specific needs, interests and geographical representation

    On the freeness of anticyclotomic selmer groups of modular forms

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    We establish the freeness of certain anticyclotomic Selmer groups of modular forms. The freeness of these Selmer groups plays a key role in the Euler system arguments introduced by Bertolini and Darmon in their work on the anticyclotomic main conjecture for modular forms. In particular, our result fills some implicit gaps which appeared in generalizations of the Bertolini-Darmon result to the case where the associated residual representation is not minimally ramified. The removal of such a minimal ramification hypothesis is essential for applications involving congruences of modular forms.Accepted manuscrip

    A Framework for Designing 3d Virtual Environments

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    The process of design and development of virtual environments can be supported by tools and frameworks, to save time in technical aspects and focusing on the content. In this paper we present an academic framework which provides several levels of abstraction to ease this work. It includes state-of-the-art components we devised or integrated adopting open-source solutions in order to face specific problems. Its architecture is modular and customizable, the code is open-source.\u
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