BRICKS Geoportal: Technical Properties and Architecture
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ESPON DIGIPLAN Case Study France.Pdf
TARGETED ANALYSIS // DIGIPLAN – Digital plans and plan data in France Annex 5 of final report Final report // June 2021 This Targeted analysis is conducted within the framework of the ESPON 2020 Cooperation Programme, partly financed by the European Regional Development Fund. The ESPON EGTC is the Single Beneficiary of the ESPON 2020 Cooperation Programme. The Single Operation within the programme is implemented by the ESPON EGTC and co-financed by the European Regional Development Fund, the EU Member States, the United Kingdom and the Partner States, Iceland, Liechtenstein, Norway and Switzerland. This delivery does not necessarily reflect the opinions of members of the ESPON 2020 Monitoring Committee. Coordination and Outreach Christian Fertner, University of Copenhagen and Piera Petruzzi, ESPON EGTC Authors Norwegian University of Life Science (Norway): Marius Grønning, Marc Le Diraison University of Copenhagen (Denmark): Christian Fertner, Sara Folvig Cite as ESPON DIGIPLAN (2021) DIGIPLAN – Digital plans and plan data in France. Annex 5 of final report. https://www.espon.eu/digiplan. Advisory group Stakeholders: Ole Pagh Schlegel and Bent Lindhardt Andersen, Danish Housing and Planning Authority, DK | Hilde Johansen Bakken, Ministry of Local Government and Modernisation, NO | Silvia Jost, Yves Maurer and Marc Pfister, Swiss Federal Office of Spatial Development, CH ESPON EGTC: Piera Petruzzi (Senior Project Expert), György Alföldy (Financial expert) Acknowledgements We thank the experts for their participation in the interviews. Information on ESPON and its projects can be found at www.espon.eu. The website provides the possibility to download and examine the most recent documents produced by finalised and ongoing ESPON projects. ISBN: 978-2-919795-63-5 © ESPON, 2021 Published in June 2021 Graphic design by BGRAPHIC, Denmark Printing, reproduction or quotation is authorised provided the source is acknowledged and a copy is forwarded to the ESPON EGTC in Luxembourg. -
Applications of Digital Image Processing in Real Time World
INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH VOLUME 8, ISSUE 12, DECEMBER 2019 ISSN 2277-8616 Applications Of Digital Image Processing In Real Time World B.Sridhar Abstract :-- Digital contents are the essential kind of analyzing, information perceived and which are explained by the human brain. In our brain, one third of the cortical area is focused only to visual information processing. Digital image processing permits the expandable values of different algorithms to be given to the input section and prevent the problems of noise and distortion during the image processing. Hence it deserves more advantages than analog based image processing. Index Terms:-- Agriculture, Biomedical imaging, Face recognition, image enhancement, Multimedia Security, Authentication —————————— —————————— 2 REAL TIME APPLICATIONS OF IMAGE PROCESSING 1 INTRODUCTION This chapter reviews the recent advances in image Digital image processing is dependably a catching the processing techniques for various applications, which more attention field and it freely transfer the upgraded include agriculture, multimedia security, Remote sensing, multimedia data for human understanding and analyzing Computer vision, Medical applications, Biometric of image information for capacity, transmission, and verification, etc,. representation for machine perception[1]. Generally, the stages of investigation of digital image can be followed 2.1 Agriculture and the workflow statement of the digital image In the present situation, due to the huge density of population, gives the horrible results of demand of food, processing (DIP) is displayed in Figure 1. diminishments in agricultural land, environmental variation and the political instability, the agriculture industries are trying to find the new solution for enhancing the essence of the productivity and sustainability.―In order to support and satifisfied the needs of the farmers Precision agriculture is employed [2]. -
Health Informatics Principles
Health Informatics Principles Foundational Curriculum: Cluster 4: Informatics Module 7: The Informatics Process and Principles of Health Informatics Unit 2: Health Informatics Principles FC-C4M7U2 Curriculum Developers: Angelique Blake, Rachelle Blake, Pauliina Hulkkonen, Sonja Huotari, Milla Jauhiainen, Johanna Tolonen, and Alpo Vӓrri This work is produced by the EU*US eHealth Work Project. This project has received funding from the European Union’s Horizon 2020 research and 21/60 innovation programme under Grant Agreement No. 727552 1 EUUSEHEALTHWORK Unit Objectives • Describe the evolution of informatics • Explain the benefits and challenges of informatics • Differentiate between information technology and informatics • Identify the three dimensions of health informatics • State the main principles of health informatics in each dimension This work is produced by the EU*US eHealth Work Project. This project has received funding from the European Union’s Horizon 2020 research and FC-C4M7U2 innovation programme under Grant Agreement No. 727552 2 EUUSEHEALTHWORK The Evolution of Health Informatics (1940s-1950s) • In 1940, the first modern computer was built called the ENIAC. It was 24.5 metric tonnes (27 tons) in volume and took up 63 m2 (680 sq. ft.) of space • In 1950 health informatics began to take off with the rise of computers and microchips. The earliest use was in dental projects during late 50s in the US. • Worldwide use of computer technology in healthcare began in the early 1950s with the rise of mainframe computers This work is produced by the EU*US eHealth Work Project. This project has received funding from the European Union’s Horizon 2020 research and FC-C4M7U2 innovation programme under Grant Agreement No. -
Draft Common Framework for Earth-Observation Data
THE U.S. GROUP ON EARTH OBSERVATIONS DRAFT COMMON FRAMEWORK FOR EARTH-OBSERVATION DATA Table of Contents Background ..................................................................................................................................... 2 Purpose of the Common Framework ........................................................................................... 2 Target User of the Common Framework ................................................................................. 4 Scope of the Common Framework........................................................................................... 5 Structure of the Common Framework ...................................................................................... 6 Data Search and Discovery Services .............................................................................................. 7 Introduction ................................................................................................................................. 7 Standards and Protocols............................................................................................................... 8 Methods and Practices ............................................................................................................... 10 Implementations ........................................................................................................................ 11 Software ................................................................................................................................ -
GIS for National Mapping and Charting
copyright swisstopo GIS for National Mapping and Charting Esri® GIS Solutions in Europe GIS for National Mapping and Charting Solutions for Land, Sea, and Air National mapping organisations (NMOs) are under pressure to generate more products and services in less time and with fewer resources. On-demand products, online services, and the continuous production of maps and charts require modern technology and new workflows. GIS for National Mapping and Charting Esri has a history of working with NMOs to find solutions that meet the needs of each country. Software, training, and services are available from a network of distributors and partners across Europe. Esri’s ArcGIS® geographic information system (GIS) technology offers powerful, database-driven cartography that is standards based, open, and interoperable. Map and chart products can be produced from large, multipurpose geographic data- bases instead of through the management of disparate datasets for individual products. This improves quality and consistency while driving down production costs. ArcGIS models the world in a seamless database, facilitating the production of diverse digital and hard-copy products. Esri® ArcGIS provides NMOs with reliable solutions that support scientific decision making for • E-government applications • Emergency response • Safety at sea and in the air • National and regional planning • Infrastructure management • Telecommunications • Climate change initiatives The Digital Atlas of Styria provides many types of map data online including this geology map. 2 Case Study—Romanian Civil Aeronautical Authority Romanian Civil Aeronautical Authority (RCAA) regulates all civil avia- tion activities in the country, including licencing pilots, registering aircraft, and certifying that aircraft and engine designs are safe for use. -
Information- Processing Conceptualizations of Human Cognition: Past, Present, and Future
13 Information- Processing Conceptualizations of Human Cognition: Past, Present, and Future Elizabeth E Loftus and Jonathan w: Schooler Historically, scholars have used contemporary machines as models of the mind. Today, much of what we know about human cognition is guided by a three-stage computer model. Sensory memory is attributed with the qualities of a computer buffer store in which individual inputs are briefly maintained until a meaningful entry is recognized. Short-term memory is equivalent to the working memory of a computer, being highly flexible yet having only a limited capacity. Finally, long-term memory resembles the auxiliary store of a computer, with a virtually unlimited capacity for a variety of information. Although the computer analogy provides a useful framework for describing much of the present research on human cogni- tion, it is insufficient in several respects. For example, it does not ade- quately represent the distinction between conscious and non-conscious thought. As an alternative. a corporate metaphor of the mind is suggested as a possible vehiclefor guiding future research. Depicting the mind as a corporation accommodates many aspects of cognition including con- sciousness. In addition, by offering a more familiar framework, a corpo- rate model is easily applied to subjective psychological experience as well as other real world phenomena. Currently, the most influential approach in cognitive psychology is based on analogies derived from the digital computer. The information processing approach has been an important source of models and ideas but the fate of its predecessors should serve to keep us humble concerning its eventual success. In 30 years, the computer-based information processing approach that cur- rently reigns may seem as invalid to the humlln mind liSthe wax-tablet or tl'kphOlIl' switchhoard mmkls do todoy. -
Distributed Cognition: Understanding Complex Sociotechnical Informatics
Applied Interdisciplinary Theory in Health Informatics 75 P. Scott et al. (Eds.) © 2019 The authors and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0). doi:10.3233/SHTI190113 Distributed Cognition: Understanding Complex Sociotechnical Informatics Dominic FURNISSa,1, Sara GARFIELD b, c, Fran HUSSON b, Ann BLANDFORD a and Bryony Dean FRANKLIN b, c a University College London, Gower Street, London; UK b Imperial College Healthcare NHS Trust, London; UK c UCL School of Pharmacy, London; UK Abstract. Distributed cognition theory posits that our cognitive tasks are so tightly coupled to the environment that cognition extends into the environment, beyond the skin and the skull. It uses cognitive concepts to describe information processing across external representations, social networks and across different periods of time. Distributed cognition lends itself to exploring how people interact with technology in the workplace, issues to do with communication and coordination, how people’s thinking extends into the environment and sociotechnical system architecture and performance more broadly. We provide an overview of early work that established distributed cognition theory, describe more recent work that facilitates its application, and outline how this theory has been used in health informatics. We present two use cases to show how distributed cognition can be used at the formative and summative stages of a project life cycle. In both cases, key determinants that influence performance of the sociotechnical system and/or the technology are identified. We argue that distributed cognition theory can have descriptive, rhetorical, inferential and application power. -
Plan4all Geoportal: Web of Spatial Data
WWW 2012 – European Projects Track April 16–20, 2012, Lyon, France Plan4All GeoPortal: Web of Spatial Data Evangelos Sakkopoulos1, Tomas Mildorf2, Karel Charvat3, Inga Berzina4, Kai-Uwe Krause5 1University of Patras 2University of 3 Help Service 4 Zemgale 5HafenCity Computer Eng. & West Bohemia Remote Sensing Planning Universität Informatics Pilsen, Czech Republic Czech Republic Region Hamburg, Patras, Greece Latvia Germany E-mail: [email protected], [email protected], [email protected], [email protected], [email protected] ABSTRACT The Plan4all consortium is composed of 24 partners from 15 Plan4All project contributes on the harmonization of spatial data European countries. It also includes 127 affiliated partners and related metadata in order to make them available through forming a wide network of excellence in spatial data provision. Web across a linked data platform. A prototype of a Web search The Plan4all GeoPortal provides the means to search for spatial European spatial data portal is already available at data sets and spatial data services coming from all participating http://www.plan4all.eu. The key aim is to provide a methodology countries after a methodological harmonization. It allows the user and present best practices towards the standardization of spatial to view and download spatial data sets (subject to access data according to the INSPIRE principles and provide results that restrictions) and related metadata. The online Plan4all GeoPortal would be a reference material for linking data and data allows discovery and viewing of spatial data sets and services. specification from the spatial planning point of view. The results Plan4All focused mainly on the spatial planning side of spatial include methodology and implementation of multilingual search data as they included a wealth of underlying information for for data and common portrayal rules for content providers. -
Augmented Cognition for Bioinformatics Problem Solving
Augmented Cognition for Bioinformatics Problem Solving Olga Anna Kuchar and Jorge Reyes-Spindola Michel Benaroch Pacific Northwest National Laboratory Center for Creation and Management of Digital P.O. Box 999, 902 Battelle Blvd. Ventures Richland, WA, 99352 Martin J. Whitman School of Management Syracuse {olga.kuchar, jorge.reyes.spindola}@pnl.gov University, Syracuse, NY, 13244 [email protected] Abstract We describe a new computational cognitive model that has been developed for solving complex problems in bioinformatics. This model addresses bottlenecks in the information processing stages inherent in the bioinformatics domain due to the complex nature of both the volume and type of data and the knowledge required in solving these problems. There is a restriction on the amount of mental tasks a bioinformatician can handle when solving biology problems. Bioinformaticians are overwhelmed at the amount of fluctuating knowledge, data, and tools available in solving problems, but to create an intelligent system to aid in this problem-solving task is difficult because of the constant flux of data and knowledge; thus, bioinformatics poses challenges to intelligent systems and a new model needs to be created to handle such problem-solving issues. To create a problem-solving system for such an environment, one needs to consider the scientists and their environment, in order to determine how humans can function in such conditions. This paper describes our experiences in developing a complex cognitive system to aid biologists in knowledge discovery. We describe the problem domain, evolution of our cognitive model, the model itself, how this model relates to current literature, and summarize our ongoing research efforts. -
(IMIA) on Education in Health and Medical Informatics
This document has been published in Methods of Information in Medicine 39(2000), 267-277. Updated version October 2000, with corrections in footnote of section 4.2 Recommendations of the International Medical Informatics Association (IMIA) on Education in Health and Medical Informatics International Medical Informatics Association, Working Group 1: Health and Medical Informatics Education Abstract: The International Medical Informatics Association (IMIA) agreed on international recommendations in health informatics / medical informatics education. These should help to establish courses, course tracks or even complete programs in this field, to further develop existing educational activities in the various nations and to support international initiatives concerning education in health and medical informatics (HMI), particularly international activities in educating HMI specialists and the sharing of courseware. The IMIA recommendations centre on educational needs for health care professionals to acquire knowledge and skills in information processing and information and communication technology. The educational needs are described as a three-dimensional framework. The dimensions are: 1) professionals in health care (physicians, nurses, HMI professionals, ...), 2) type of specialisation in health and medical informatics (IT users, HMI specialists) and 3) stage of career progression (bachelor, master, ...). Learning outcomes are defined in terms of knowledge and practical skills for health care professionals in their role (a) as IT user and (b) as HMI specialist. Recommendations are given for courses/course tracks in HMI as part of educational programs in medicine, nursing, health care management, dentistry, pharmacy, public health, health record administration, and informatics/computer science as well as for dedicated programs in HMI (with bachelor, master or doctor degree). -
National INSPIRE Geoportal of the Czech Republic Jan Prášek, Jiří Valta, Jiří Hřebíček
National INSPIRE Geoportal of the Czech Republic Jan Prášek, Jiří Valta, Jiří Hřebíček To cite this version: Jan Prášek, Jiří Valta, Jiří Hřebíček. National INSPIRE Geoportal of the Czech Republic. 10th International Symposium on Environmental Software Systems (ISESS), Oct 2013, Neusiedl am See, Austria. pp.425-438, 10.1007/978-3-642-41151-9_40. hal-01457473 HAL Id: hal-01457473 https://hal.inria.fr/hal-01457473 Submitted on 6 Feb 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution| 4.0 International License National INSPIRE Geoportal of the Czech Republic Jan Prášek1, Jiří Valta1, and Jiří Hřebíček2 1Czech Environmental Information Agency, Vršovická 1442/65 100 10 Praha 10, Czech Republic 2 Masaryk University, Institute of Biostatistics and Analyses Kotlářská 2, 611 37 Brno, Czech Republic {jan.prasek, jiri.valta}@cenia.cz, [email protected] Abstract Environmental information systems of the Czech Republic´s Ministry of Environment have been developed since 1990. Creation of the National In- formation System to Collect and Evaluate Information on Environmental Pollu- tion began in 2010. This project has been co-financed by the European Regional Development Fund. -
Is It Time for Cognitive Bioinformatics?
g in Geno nin m i ic M s ta & a P Lisitsa et al., J Data Mining Genomics Proteomics 2015, 6:2 D r f o Journal of o t e l DOI: 10.4172/2153-0602.1000173 o a m n r i c u s o J ISSN: 2153-0602 Data Mining in Genomics & Proteomics Review Article Open Access Is it Time for Cognitive Bioinformatics? Andrey Lisitsa1,2*, Elizabeth Stewart2,3, Eugene Kolker2-5 1The Russian Human Proteome Organization (RHUPO), Institute of Biomedical Chemistry, Moscow, Russian Federation 2Data Enabled Life Sciences Alliance (DELSA Global), Moscow, Russian Federation 3Bioinformatics and High-Throughput Data Analysis Laboratory, Seattle Children’s Research Institute, Seattle, WA, USA 4Predictive Analytics, Seattle Children’s Hospital, Seattle, WA, USA 5Departments of Biomedical Informatics & Medical Education and Pediatrics, University of Washington, Seattle, WA, USA Abstract The concept of cognitive bioinformatics has been proposed for structuring of knowledge in the field of molecular biology. While cognitive science is considered as “thinking about the process of thinking”, cognitive bioinformatics strives to capture the process of thought and analysis as applied to the challenging intersection of diverse fields such as biology, informatics, and computer science collectively known as bioinformatics. Ten years ago cognitive bioinformatics was introduced as a model of the analysis performed by scientists working with molecular biology and biomedical web resources. At present, the concept of cognitive bioinformatics can be examined in the context of the opportunities represented by the information “data deluge” of life sciences technologies. The unbalanced nature of accumulating information along with some challenges poses currently intractable problems for researchers.