2,355 research outputs found

    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

    Coalition Battle Management Language (C-BML) Study Group Final Report

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    Interoperability across Modeling and Simulation (M&S) and Command and Control (C2) systems continues to be a significant problem for today\u27s warfighters. M&S is well-established in military training, but it can be a valuable asset for planning and mission rehearsal if M&S and C2 systems were able to exchange information, plans, and orders more effectively. To better support the warfighter with M&S based capabilities, an open standards-based framework is needed that establishes operational and technical coherence between C2 and M&S systems

    Assessment of the Conditions for a European Union Location Framework Report EUR

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    The European Union Location Framework (EULF) is a set of good practices and actions to promote more effective and efficient use of location information in e-government services. The EULF is part of the Interoperability Solutions for Public Administrations (ISA) Programme, which supports interoperability solutions, sharing and re-use among European Public Administrations. This report assesses the conditions for an EULF, based on a survey of Member States and an examination of EU policies and work programmes. Five focus areas are being considered initially: policy and strategy alignment, e government integration, standardisation and interoperbility, costs and benefits and committed partnerships. The assessment confirmed their importance in realising and maximising the benefits of location-related information and services. There are various good practices demonstrating that these issues can be addressed and that benefits for governments, citizens and businesses can be delivered. However these good pratices are not universally deployed and there are some significant gaps. The assessment also identified other important issues, including the need for effective leadership and governance, a user-driven approach, an open and balanced data policy, training and awareness raising and appropriately targeted funding. There is, therefore, a need for an EULF, to build on the good practices and interest from Member States and to develop a framework of guidance and actions that will foster interoperable cross-sector and cross-border sharing and use of location information.JRC.H.6-Digital Earth and Reference Dat

    An Evaluation of GeoBEST Contingency Beddown Planning Software Using the Technology Acceptance Model

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    GeoBEST is a software program designed to simplify the contingency beddown planning process through application of geographic information technology. The purpose of this thesis was to thoroughly evaluate GeoBEST using prospective GeoBEST users in a realistic beddown planning scenario. The Technology Acceptance Model (TAM) was applied, which measures a prospective user\u27s perceptions of the technology\u27s usefulness and ease-of-use and predicts their intentions to use the software in the future. The evaluations also included a qualitative evaluation of specific software features. The test group for this thesis was seventy-one Civil Engineering students attending contingency skills training at the Silver Flag training site, Tyndall AFT, FL. The students were given a one-hour interactive demonstration of GeoBEST after which they completed a survey. The students were given the option of using the program for preparation of their assigned beddown plan. The results from the TAM predict that the students were only slightly likely to use GeoBEST for beddown planning in the future. Throughout the course of the research, several features of GeoBEST were identified that limit the program\u27s effectiveness. Some of these were minor irritants, while others were serious design flaws. Recommendations are made for implementation of GeoBEST and creation of training programs

    Ami-deu : un cadre sémantique pour des applications adaptables dans des environnements intelligents

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    Cette thĂšse vise Ă  Ă©tendre l’utilisation de l'Internet des objets (IdO) en facilitant le dĂ©veloppement d’applications par des personnes non experts en dĂ©veloppement logiciel. La thĂšse propose une nouvelle approche pour augmenter la sĂ©mantique des applications d’IdO et l’implication des experts du domaine dans le dĂ©veloppement d’applications sensibles au contexte. Notre approche permet de gĂ©rer le contexte changeant de l’environnement et de gĂ©nĂ©rer des applications qui s’exĂ©cutent dans plusieurs environnements intelligents pour fournir des actions requises dans divers contextes. Notre approche est mise en Ɠuvre dans un cadriciel (AmI-DEU) qui inclut les composants pour le dĂ©veloppement d’applications IdO. AmI-DEU intĂšgre les services d’environnement, favorise l’interaction de l’utilisateur et fournit les moyens de reprĂ©senter le domaine d’application, le profil de l’utilisateur et les intentions de l’utilisateur. Le cadriciel permet la dĂ©finition d’applications IoT avec une intention d’activitĂ© autodĂ©crite qui contient les connaissances requises pour rĂ©aliser l’activitĂ©. Ensuite, le cadriciel gĂ©nĂšre Intention as a Context (IaaC), qui comprend une intention d’activitĂ© autodĂ©crite avec des connaissances colligĂ©es Ă  Ă©valuer pour une meilleure adaptation dans des environnements intelligents. La sĂ©mantique de l’AmI-DEU est basĂ©e sur celle du ContextAA (Context-Aware Agents) – une plateforme pour fournir une connaissance du contexte dans plusieurs environnements. Le cadriciel effectue une compilation des connaissances par des rĂšgles et l'appariement sĂ©mantique pour produire des applications IdO autonomes capables de s’exĂ©cuter en ContextAA. AmI- DEU inclut Ă©galement un outil de dĂ©veloppement visuel pour le dĂ©veloppement et le dĂ©ploiement rapide d'applications sur ContextAA. L'interface graphique d’AmI-DEU adopte la mĂ©taphore du flux avec des aides visuelles pour simplifier le dĂ©veloppement d'applications en permettant des dĂ©finitions de rĂšgles Ă©tape par Ă©tape. Dans le cadre de l’expĂ©rimentation, AmI-DEU comprend un banc d’essai pour le dĂ©veloppement d’applications IdO. Les rĂ©sultats expĂ©rimentaux montrent une optimisation sĂ©mantique potentielle des ressources pour les applications IoT dynamiques dans les maisons intelligentes et les villes intelligentes. Notre approche favorise l'adoption de la technologie pour amĂ©liorer le bienĂȘtre et la qualitĂ© de vie des personnes. Cette thĂšse se termine par des orientations de recherche que le cadriciel AmI-DEU dĂ©voile pour rĂ©aliser des environnements intelligents omniprĂ©sents fournissant des adaptations appropriĂ©es pour soutenir les intentions des personnes.Abstract: This thesis aims at expanding the use of the Internet of Things (IoT) by facilitating the development of applications by people who are not experts in software development. The thesis proposes a new approach to augment IoT applications’ semantics and domain expert involvement in context-aware application development. Our approach enables us to manage the changing environment context and generate applications that run in multiple smart environments to provide required actions in diverse settings. Our approach is implemented in a framework (AmI-DEU) that includes the components for IoT application development. AmI- DEU integrates environment services, promotes end-user interaction, and provides the means to represent the application domain, end-user profile, and end-user intentions. The framework enables the definition of IoT applications with a self-described activity intention that contains the required knowledge to achieve the activity. Then, the framework generates Intention as a Context (IaaC), which includes a self-described activity intention with compiled knowledge to be assessed for augmented adaptations in smart environments. AmI-DEU framework semantics adopts ContextAA (Context-Aware Agents) – a platform to provide context-awareness in multiple environments. The framework performs a knowledge compilation by rules and semantic matching to produce autonomic IoT applications to run in ContextAA. AmI-DEU also includes a visual tool for quick application development and deployment to ContextAA. The AmI-DEU GUI adopts the flow metaphor with visual aids to simplify developing applications by allowing step-by-step rule definitions. As part of the experimentation, AmI-DEU includes a testbed for IoT application development. Experimental results show a potential semantic optimization for dynamic IoT applications in smart homes and smart cities. Our approach promotes technology adoption to improve people’s well-being and quality of life. This thesis concludes with research directions that the AmI-DEU framework uncovers to achieve pervasive smart environments providing suitable adaptations to support people’s intentions
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