346,538 research outputs found

    Seafloor characterization using airborne hyperspectral co-registration procedures independent from attitude and positioning sensors

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    The advance of remote-sensing technology and data-storage capabilities has progressed in the last decade to commercial multi-sensor data collection. There is a constant need to characterize, quantify and monitor the coastal areas for habitat research and coastal management. In this paper, we present work on seafloor characterization that uses hyperspectral imagery (HSI). The HSI data allows the operator to extend seafloor characterization from multibeam backscatter towards land and thus creates a seamless ocean-to-land characterization of the littoral zone

    Service Implementation Framework in Manufacturing Firms: A Case Study

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    The culture and the operational methods of service management have become a formidable competitive weapon even for manufacturing firms. The term "service factory" has been proposed for identifying that particular integration of products and services, achieved by the excellent manufacturing firm, where "service is a multidimensional concept". The creation of a service factory necessarily implies a radical change in the operational and organizational characteristics of the firm. In order to support manufacturing firms in adopting a service strategy, it is relevant on the one hand to identify the bundle of services which have to be provided for the customers and, on the other hand, to understand the implications for firm management model. As regards the first point, the paper proposes a framework which classifies the services along with two dimensions: Timedimension and target-dimension. The proposed framework is of interest for manufacturing firms because it allows a better recognition of services that are more perceptible for the customers. In the second part of the paper, authors discuss the implications of a service strategy adoption on the management model of manufacturing firms. In order to carry out this analysis, authors propose a model that combines four service dimensions with three decision-making categories (Organization, Methodologies and Technologies). In the end, the proposed framework has been applied in a sample of Italian hot water heater manufacturers and a case study analysis has been carried out

    Models of everywhere revisited: a technological perspective

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    The concept ‘models of everywhere’ was first introduced in the mid 2000s as a means of reasoning about the environmental science of a place, changing the nature of the underlying modelling process, from one in which general model structures are used to one in which modelling becomes a learning process about specific places, in particular capturing the idiosyncrasies of that place. At one level, this is a straightforward concept, but at another it is a rich multi-dimensional conceptual framework involving the following key dimensions: models of everywhere, models of everything and models at all times, being constantly re-evaluated against the most current evidence. This is a compelling approach with the potential to deal with epistemic uncertainties and nonlinearities. However, the approach has, as yet, not been fully utilised or explored. This paper examines the concept of models of everywhere in the light of recent advances in technology. The paper argues that, when first proposed, technology was a limiting factor but now, with advances in areas such as Internet of Things, cloud computing and data analytics, many of the barriers have been alleviated. Consequently, it is timely to look again at the concept of models of everywhere in practical conditions as part of a trans-disciplinary effort to tackle the remaining research questions. The paper concludes by identifying the key elements of a research agenda that should underpin such experimentation and deployment

    Chicago Recovery Partnership Evaluation of the American Recovery and Reinvestment Act

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    From 2009-2011, the City of Chicago and Cook County received a total of 2.35billioninfundingprovidedbytheAmericanRecoveryandReinvestmentAct[ARRA].Thestimulusmoneywasallocatedtosevenareas:education,basicneeds,transportationandinfrastructure,housingandenergy,publicsafety,broadbandandworkforcedevelopment.TheChicagoRecoveryPartnershipEvaluationofARRAanalyzestheimpactofthestimulusspendingusingacostbenefitanalysisframework.Thisreportevaluated2.35 billion in funding provided by the American Recovery and Reinvestment Act [ARRA]. The stimulus money was allocated to seven areas: education, basic needs, transportation and infrastructure, housing and energy, public safety, broadband and workforce development. The Chicago Recovery Partnership Evaluation of ARRA analyzes the impact of the stimulus spending using a costbenefit analysis framework. This report evaluated 1.09 billion of total spending in Chicago and Cook County, resulting in net benefits ranging from -173.9to173.9 to 2,740.2 million. The wide range in net benefits is attributed largely to education, which received over half of ARRA funding

    Load flow studies on stand alone microgrid system in Ranau, Sabah

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    This paper presents the power flow or load flow analysis of Ranau microgrid, a standalone microgrid in the district of Ranau,West Coast Division of Sabah. Power flow for IEEE 9 bus also performed and analyzed. Power flow is define as an important tool involving numerical analysis applied to power system. Power flow uses simplified notation such as one line diagram and per-unit system focusing on voltages, voltage angles, real power and reactive power. To achieved that purpose, this research is done by analyzing the power flow analysis and calculation of all the elements in the microgrid such as generators, buses, loads, transformers, transmission lines using the Power Factory DIGSilent 14 software to calculate the power flow. After the analysis and calculations, the results were analysed and compared

    Training of Crisis Mappers and Map Production from Multi-sensor Data: Vernazza Case Study (Cinque Terre National Park, Italy)

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    This aim of paper is to presents the development of a multidisciplinary project carried out by the cooperation between Politecnico di Torino and ITHACA (Information Technology for Humanitarian Assistance, Cooperation and Action). The goal of the project was the training in geospatial data acquiring and processing for students attending Architecture and Engineering Courses, in order to start up a team of "volunteer mappers". Indeed, the project is aimed to document the environmental and built heritage subject to disaster; the purpose is to improve the capabilities of the actors involved in the activities connected in geospatial data collection, integration and sharing. The proposed area for testing the training activities is the Cinque Terre National Park, registered in the World Heritage List since 1997. The area was affected by flood on the 25th of October 2011. According to other international experiences, the group is expected to be active after emergencies in order to upgrade maps, using data acquired by typical geomatic methods and techniques such as terrestrial and aerial Lidar, close-range and aerial photogrammetry, topographic and GNSS instruments etc.; or by non conventional systems and instruments such us UAV, mobile mapping etc. The ultimate goal is to implement a WebGIS platform to share all the data collected with local authorities and the Civil Protectio

    When Things Matter: A Data-Centric View of the Internet of Things

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    With the recent advances in radio-frequency identification (RFID), low-cost wireless sensor devices, and Web technologies, the Internet of Things (IoT) approach has gained momentum in connecting everyday objects to the Internet and facilitating machine-to-human and machine-to-machine communication with the physical world. While IoT offers the capability to connect and integrate both digital and physical entities, enabling a whole new class of applications and services, several significant challenges need to be addressed before these applications and services can be fully realized. A fundamental challenge centers around managing IoT data, typically produced in dynamic and volatile environments, which is not only extremely large in scale and volume, but also noisy, and continuous. This article surveys the main techniques and state-of-the-art research efforts in IoT from data-centric perspectives, including data stream processing, data storage models, complex event processing, and searching in IoT. Open research issues for IoT data management are also discussed
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