5,851 research outputs found

    Development of a Web-Based Geographical Information System for Interactive Visualization and Analysis of Container Itineraries

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    The paper describes an advanced prototype of a web-based geographical information system for user-friendly, interactive and efficient visualization of containers travelling over the world. The prototype uses ConTraffic Oracle Data Base (DB), where more than 300 000 container’s events are archived daily. The DB contains currently around one billion container movements. In addition, geographical data about the used locations/ports was collected and stored in the same DB on which the prototype is implemented. The prototype system provides users with container traffic information for specific date range, presented in interactive geographical and tabular mode. As a result, the prototype makes efficient visualization for easy visual analysis of container movements and status. The system used in this study gathers in quasi real-time online data from open sources, processes and stores it in DB. Using the proposed GIS application the user can access any time the DB and review on a map the itinerary of a specific container in specific date range, interact with the geographical presentation to receive specific details for the container for the used ports and review the itinerary details in interactive tabular presentation.JRC.G.4-Maritime affair

    GeoLocSI – Web-Based GIS for Verification and Modification of Data Stored in Data Base

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    Currently there are thousand container events happening daily on more than 20 000 locations in the World. Some of these locations are big international ports and others are just little cities with not precise coordinates in the free available Data Bases (DB). Verification and validation these locations are at the same time a very important task and a challenging one. This paper describes the development of a web-based geographical information system for assisting in verifying and modifying geographical data in DB by interactive intuitive GIS technique. For the proper work of the system, first we collected geographical data for container ports from different open sources according to the known container ports’ names from our ConTraffic System. Then we stored it in a dataset in our DB and we created a map-based application which allows us to see not only the data in tabular view but also the geographical position of the ports over a map. Using this web-based application all the data can be modified quite easy, including the geographical coordinates. They can be modified directly by just typing the correct coordinates or by interactive way (drag the graphical object to the correct geographical position on the map).JRC.G.4-Maritime affair

    Web-based Geographical Visualization of Container Itineraries

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    Around 90% of the world cargo is transported in maritime containers, but only around 2% are physically inspected. This opens the possibility for illicit activities. A viable solution is to control containerized cargo through information-based risk analysis. Container route-based analysis has been considered a key factor in identifying potentially suspicious consignments. Essential part of itinerary analysis is the geographical visualization of the itinerary. In the present paper, we present initial work of a web-based system’s realization for interactive geographical visualization of container itinerary.JRC.G.4-Maritime affair

    Urban Street Network Analysis in a Computational Notebook

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    Computational notebooks offer researchers, practitioners, students, and educators the ability to interactively conduct analytics and disseminate reproducible workflows that weave together code, visuals, and narratives. This article explores the potential of computational notebooks in urban analytics and planning, demonstrating their utility through a case study of OSMnx and its tutorials repository. OSMnx is a Python package for working with OpenStreetMap data and modeling, analyzing, and visualizing street networks anywhere in the world. Its official demos and tutorials are distributed as open-source Jupyter notebooks on GitHub. This article showcases this resource by documenting the repository and demonstrating OSMnx interactively through a synoptic tutorial adapted from the repository. It illustrates how to download urban data and model street networks for various study sites, compute network indicators, visualize street centrality, calculate routes, and work with other spatial data such as building footprints and points of interest. Computational notebooks help introduce methods to new users and help researchers reach broader audiences interested in learning from, adapting, and remixing their work. Due to their utility and versatility, the ongoing adoption of computational notebooks in urban planning, analytics, and related geocomputation disciplines should continue into the future

    Dynamic Composite Data Physicalization Using Wheeled Micro-Robots

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    This paper introduces dynamic composite physicalizations, a new class of physical visualizations that use collections of self-propelled objects to represent data. Dynamic composite physicalizations can be used both to give physical form to well-known interactive visualization techniques, and to explore new visualizations and interaction paradigms. We first propose a design space characterizing composite physicalizations based on previous work in the fields of Information Visualization and Human Computer Interaction. We illustrate dynamic composite physicalizations in two scenarios demonstrating potential benefits for collaboration and decision making, as well as new opportunities for physical interaction. We then describe our implementation using wheeled micro-robots capable of locating themselves and sensing user input, before discussing limitations and opportunities for future work

    Field Reporting Tool Experience in Digne with SDIS 04

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    This document will describe the use of the Field Reporting Tool platform during a demonstration of technologies applied to the crisis management held in Digne by SDIS 04 on June, 22nd 2017. The tool was applied to a search and rescue simulation and integrated with the other technologies demonstrated in Digne by SDIS 04.JRC.E.1-Disaster Risk Managemen

    MusA: Using Indoor Positioning and Navigation to Enhance Cultural Experiences in a museum

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    In recent years there has been a growing interest into the use of multimedia mobile guides in museum environments. Mobile devices have the capabilities to detect the user context and to provide pieces of information suitable to help visitors discovering and following the logical and emotional connections that develop during the visit. In this scenario, location based services (LBS) currently represent an asset, and the choice of the technology to determine users' position, combined with the definition of methods that can effectively convey information, become key issues in the design process. In this work, we present MusA (Museum Assistant), a general framework for the development of multimedia interactive guides for mobile devices. Its main feature is a vision-based indoor positioning system that allows the provision of several LBS, from way-finding to the contextualized communication of cultural contents, aimed at providing a meaningful exploration of exhibits according to visitors' personal interest and curiosity. Starting from the thorough description of the system architecture, the article presents the implementation of two mobile guides, developed to respectively address adults and children, and discusses the evaluation of the user experience and the visitors' appreciation of these application

    Distributed microservices evaluation in edge computing

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    Abstract. Current Internet of Things applications rely on centralized cloud computing when processing data. Future applications, such as smart cities, homes, and vehicles, however, generate so much data that cloud computing is unable to provide the required Quality of Service. Thus, edge computing, which pulls data and related computation from distant data centers to the network edge, is seen as the way forward in the evolution of the Internet of Things. The traditional cloud applications, implemented as centralized server-side monoliths, may prove unfavorable for edge systems, due to the distributed nature of the network edge. On the other hand, the recent development practices of containerization and microservices seem like an attractive choice for edge application development. Containerization enables edge computing to use lightweight virtualized resources. Microservices modularize application on the functional level into small, independent packages. This thesis studies the impact of containers and distributed microservices on edge computing, based on service execution latency and energy consumption. Evaluation is done by developing a monolithic and a distributed microservice version of a user mobility analysis service. Both services are containerized with Docker and deployed on resource-constrained edge devices to conduct measurements in real-world settings. Collected results show that centralized monoliths provide lower latencies for small amounts of data, while distributed microservices are faster for large amounts of data. Partitioning services onto multiple edge devices is shown to increases energy consumption significantly.Hajautettujen mikropalveluiden arviointi reunalaskennassa. Tiivistelmä. Nykyiset Esineiden Internet -järjestelmät hyödyntävät keskitettyä pilvilaskentaa datan prosessointiin. Tulevaisuuden sovellusalueet, kuten älykkäät kaupungit, kodit ja ajoneuvot tuottavat kuitenkin niin paljon dataa, ettei pilvilaskenta pysty täyttämään tarvittavia sovelluspalveluiden laatukriteerejä. Pilvipohjainen sovellusten toteutus on osoittautunut sopimattomaksi hajautetuissa tietoliikenneverkoissa tiedonsiirron viiveiden takia. Täten laskennan ja datan siirtämistä tietoliikenneverkkojen päätepisteisiin reunalaskentaa varten pidetään tärkeänä osana Esineiden Internetin kehitystä. Pilvisovellusten perinteinen keskitetty monoliittinen toteutus saattaa osoittautua sopimattomiksi reunajärjestelmille tietoliikenneverkkojen hajautetun infrastruktuurin takia. Kontit ja mikropalvelut vaikuttavat houkuttelevilta vaihtoehdoilta reunasovellusten suunnitteluun ja toteutukseen. Kontit mahdollistavat reunalaskennalle kevyiden virtualisoitujen resurssien käytön ja mikropalvelut jakavat sovellukset toiminnallisella tasolla pienikokoisiin itsenäisiin osiin. Tässä työssä selvitetään konttien ja hajautettujen mikropalveluiden toteutustavan vaikutusta viiveeseen ja energiankulutukseen reunalaskennassa. Arviointi tehdään todellisessa ympäristössä toteuttamalla mobiilikäyttäjien liikkumista kaupunkialueella analysoiva keskitetty monoliittinen palvelu sekä vastaava hajautettu mikropalvelupohjainen toteutus. Molemmat versiot kontitetaan ja otetaan käyttöön verkon reunalaitteilla, joiden laskentateho on alhainen. Tuloksista nähdään, että keskitettyjen monoliittien viive on alhaisempi pienille datamäärille, kun taas hajautetut mikropalvelut ovat nopeampia suurille määrille dataa. Sovelluksen jakaminen usealle reunalaitteelle kasvatti energiankulutusta huomattavasti
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