302,343 research outputs found

    Precise vehicle location as a fundamental parameter for intelligent selfaware rail-track maintenance systems

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    The rail industry in the UK is undergoing substantial changes in response to a modernisation vision for 2040. Development and implementation of these will lead to a highly automated and safe railway. Real-time regulation of traffic will optimise the performance of the network, with trains running in succession within an adjacent movable safety zone. Critically, maintenance will use intelligent trainborne and track-based systems. These will provide accurate and timely information for condition based intervention at precise track locations, reducing possession downtime and minimising the presence of workers in operating railways. Clearly, precise knowledge of trains’ real-time location is of paramount importance. The positional accuracy demand of the future railway is less than 2m. A critical consideration of this requirement is the capability to resolve train occupancy in adjacent tracks, with the highest degree of confidence. A finer resolution is required for locating faults such as damage or missing parts, precisely. Location of trains currently relies on track signalling technology. However, these systems mostly provide an indication of the presence of trains within discrete track sections. The standard Global Navigation Satellite Systems (GNSS), cannot precisely and reliably resolve location as required either. Within the context of the needs of the future railway, state of the art location technologies and systems were reviewed and critiqued. It was found that no current technology is able to resolve location as required. Uncertainty is a significant factor. A new integrated approach employing complimentary technologies and more efficient data fusion process, can potentially offer a more accurate and robust solution. Data fusion architectures enabling intelligent self-aware rail-track maintenance systems are proposed

    A review of key planning and scheduling in the rail industry in Europe and UK

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    Planning and scheduling activities within the rail industry have benefited from developments in computer-based simulation and modelling techniques over the last 25 years. Increasingly, the use of computational intelligence in such tasks is featuring more heavily in research publications. This paper examines a number of common rail-based planning and scheduling activities and how they benefit from five broad technology approaches. Summary tables of papers are provided relating to rail planning and scheduling activities and to the use of expert and decision systems in the rail industry.EPSR

    Open Innovation, ambiguity and technological convergence

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    Objectives. Current paper aims to provide a fresh conceptual framework on the relationship among open innovation, decision ambiguity, and technological convergence. We argue that there is a curvilinear relationship between open innovation and both technological convergence and ambiguity. Contained level of convergence and ambiguity foster open innovation, whilst an excess of them is an impediment to collaboration. Technological convergence further acts as a moderator for ambiguity, in light of the benefits of isomorphism. Methodology. We propose a conceptual framework for open innovation decisions after accurately reviewing the main literature antecedents. Findings. We suggest an inverse u-shaped relationship between open innovation and either ambiguity or technological convergence. Research limits. In future, the theoretical framework proposed by thus study has to be tested with robust and proper statistical techniques on large scale samples. Practical implications. The model offers a heuristic for open innovation decisions under ambiguity. Originality of the study. To the best of our knowledge, the relationship linking open innovation, technological convergence and ambiguity emerges as a literature gap. This study tackles this issue, proposing an interpretation for the analysis of alliances decision in innovation

    Cordaid-IICD Health Programme Uganda:Health Management Information Systems as a Tool for Organisational Development\ud

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    A Health Management Information System (HMIS) can be a powerful tool to make health care delivery more effective and far more efficient. This paper describes how an HMIS can also be used for organisational development and reports on the experiences of the HMIS programme of the Uganda Catholic Medical Bureau (UCMB) in Uganda. The programme forms part of a larger programme on ICTs for health in Uganda, Tanzania and Zambia and is supported jointly by the International Institute for Communication and Development (IICD) and the Catholic Organisation for Relief and Development Aid (Cordaid). The goal of the paper is to evaluate the project against a background of organisational development and to draw practical lessons from the project that may provide guidance to new HMIS projects in the development context.\u

    Teaching and learning mathematics and science in English in primary schools in the state of Johor, Malaysia

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    This article attempts to highlight the opinions of the public on the effectiveness of the use of English in teaching and learning Mathematics and Science (PPSMI) in primary schools in Johor. After nearly six years of its implementation, some people found out that the students have not demonstrated a good command of the language and the acquisition of knowledge of Mathematics and Science is seen to be declining. The teachers also do not seem to adapt well in the implementation. A group of respondents from among the headmasters and headmistress have given their views through a questionnaire and structured interview that showed the government's intention to strengthen the English language in teaching and learning Mathematics and Science did not show an impressive result. Thus, the study suggests that the government can try to give an option of using both languages in the implementation of this policy

    An intelligent framework and prototype for autonomous maintenance planning in the rail industry

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    This paper details the development of the AUTONOM project, a project that aims to provide an enterprise system tailored to the planning needs of the rail industry. AUTONOM extends research in novel sensing, scheduling, and decision-making strategies customised for the automated planning of maintenance activities within the rail industry. This paper sets out a framework and software prototype and details the current progress of the project. In the continuation of the AUTONOM project it is anticipated that the combination of techniques brought together in this work will be capable of addressing a wider range of problem types, offered by Network rail and organisations in different industries

    Development Of Planning Support System For Urban Rehabilitation And Reconstruction In Case Sidoarjo Mud Flow Post Disaster

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    Sidoarjo mud disaster impact that has lasted more than 3 years are very influential on other aspects of life in Porong and surrounding areas. The need for information systems that can inform the public about the catastrophic conditions is absolutely necessary. In previous research has established a disaster management information system that is treated with the approach to Geographic Information Systems (GIS) consisting of the phases of mitigation, evacuation and warning his own. Mitigation system that was built covering the field of catastrophe risk modeling using network analysis, mapping mudguard embankment area, information about alternative routes and other public facilities information. Evacuation system provides information on areas that can be used as an evacuation site if a disaster occurs, such as health centers and referral hospitals and information about the stages of evacuation if the disaster occurs. Early warning system that allows agencies related to the Sidoarjo Mud Mitigation Agency (BPLS) provide information directly via WEB and SMS that can be accessed by the public via the WEB and SMS. Mitigation system that was built covering the field of catastrophe risk modeling using network analysis, mapping mudguard embankment area, information about alternative routes and other public facilities information. Evacuation system provides information on areas that can be used as an evacuation site if a disaster occurs, such as health centers and referral hospitals and information about the stages of evacuation if the disaster occurs. Early warning system that allows agencies related to the Sidoarjo Mud Mitigation Agency (BPLS) provide information directly via WEB and SMS that can be accessed by the public via the WEB and SMS. Mitigation system that was built covering the field of catastrophe risk modeling using network analysis, mapping mudguard embankment area, information about alternative routes and other public facilities information. Evacuation system provides information on areas that can be used as an evacuation site if a disaster occurs, such as health centers and referral hospitals and information about the stages of evacuation if the disaster occurs. Early warning system that allows agencies related to the Sidoarjo Mud Mitigation Agency (BPLS) provide information directly via WEB and SMS that can be accessed by the public via the WEB and SMS. The next stage is the stage of recovery. To that end, the research platform designed with integrated GIS Decision Systems (DSS) for regional development planning. Platform that includes a planned relocation of the transportation system and the relocation industry. Relocation of industrial zones by the method of analytical hierarchy process to produce recommendations relocate industrial park. Modeling facility relocation alternative transport route network transformation results
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