Auflistung nach Autor:in "Havlik, Denis"
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- KonferenzbeitragA Quest for Affordable Personalized Atmospheric Exposure Estimates(EnviroInfo Dessau 2012, Part 1: Core Application Areas, 2012) Kobernus, Michael; Havlik, Denis; van der Schaaf, Hylke; Pielorz, Jasmin; Falgenhauer, MarkusFrom the moment of our birth until our very last breath, we spend our lives immersed in a mixture of gases and aerosols known as "the air" or "atmosphere". Our largest organ, our skin, as well as our eyes are constantly exposed to the atmosphere, and an average adult inhales and exhales close to ten litres of air each minute while at rest, while during heavy exercise, this volume will rise steeply and could be as high as 150-250 litres per minute. Unsurprisingly, our well-being is closely connected to the characteristics of the air: some of the gases and chemicals suspended therein are toxic, others may cause allergic reactions, and our bodies are also sensitive to changes in e.g. humidity or oxygen levels as well as to changes in the air temperature and pressure. With the exception of the relatively rare cases of immediate lethal dangers (e.g. due to fires or chemical accidents), physical and chemical changes in atmospheric conditions can result in: (1) immediate or short term risks including skin and eye irritation, drying and watering of the eyes, respiratory difficulties, headaches and general feeling of malaise; and (2) medium to long term health damage to respiratory and immune systems. Moreover, sensitivity to these changes is both very different from one person to another and in many cases highly dependent on the individual’s patterns of behaviour. Yet, while each individual has a unique relationship to the environment, the information on the state of atmosphere and related hazards available today is entirely generic, and by no means personalised. We intend to address this lack of individualized information through the development of an affordable “Personal Environmental Information System” (PEIS). This system will allow users to estimate personalized exposure to various atmospheric stressors as well as to calculate the personalized risk index resulting from these hazards, individual sensitivities and individual behavioural patterns.
- KonferenzbeitragFuture Internet enablers for VGI applications(Proceedings of the 27th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management, 2013) Havlik, Denis; Soriano, Javier; Granell, Carlos; Middleton, Stuart E.; van der Schaaf, Hylke; Berre, Arne J.; Pielorz, JasminThis paper presents the authors experiences with the development of mobile Volunteered Geographic Information (VGI) applications in the context of the ENVIROFI project and Future Internet Public Private Partnership (FI-PPP) FP7 research programme. FI-PPP has an ambitious goal of developing a set of Generic FI Enablers (GEs) - software and hardware tools that will simplify development of thematic future internet applications. Our role in the programme was to provide requirements and assess the usability of the GEs from the point of view of the environmental usage area, In addition, we specified and developed three proof of concept implementations of environmental FI applications, and a set of specific environmental enablers (SEs) complementing the functionality offered by GEs. Rather than trying to rebuild the whole infrastructure of the Environmental Information Space (EIS), we concentrated on two aspects: (1) how to assure the existing and future EIS services and applications can be integrated and reused in FI context; and (2) how to profit from the GEs in future environmental applications. This paper concentrates on the GEs and SEs which were used in two of the ENVIROFI pilots which are representative for the emerging class of Volunteered Geographic Information (VGI) use-cases: one of them is pertinent to biodiversity and another to influence of weather and airborne pollution on users wellbeing. In VGI applications, the EIS and SensorWeb overlap with the Social web and potentially huge amounts of information from mobile citizens needs to be assessed and fused with the observations from official sources. On the whole, the authors are confident that the FI-PPP programme will greatly influence the EIS, but the paper also warns of the shortcomings in the current GE implementations and provides recommendations for further developments.
- KonferenzbeitragGeospatial Service Interfaces and Encodings for Mobile Applications(EnviroInfo Dessau 2012, Part 1: Core Application Areas, 2012) Havlik, Denis; Kutschera, Peter; Geyer, Clemens; Egly, MariaSensor Web Enablement suite (OGC SWE) offers a set of standardized service interfaces and data models which can be used for encapsulation of arbitrary observation-generating processes. In the past, AIT has used the OGC SWE for wrapping of hardware sensors, sensor data stores, cadastres and various sensor-like models behind OGC Sensor Observation Service (for data access) and Sensor Planning Service (for process control) interfaces. This approach was successfully applied in different projects (SANY, SUDPLAN), and resulted in development of the SOS and SPS service interfaces for the set of open source tools for time-series handling (ts-toolbox.ait.ac.at) developed by AIT. We have also discovered several issues and limitations of the OGC SWE services: (1) encoding of observations in SensorML/SWE Common is not always straightforward; (2) XML encoding/decoding can become extremely inefficient for large data sets; and (3) the complexity of the OGC XML schemas (O&M, SWE common, GML) further slows down the SWE-based solutions. However, these issues appeared of secondary importance compared to benefits of interoperability for classic environmental applications where both server and the client had plenty of memory and CPU power, the observations and processes creating them are well-defined and do not often change, and the interoperability across different organizations is a must. Recently, our focus moved towards Volunteered Geographic Information, and the rules of the game changed, with (potential) numbers and profiles of users and “sensors” drastically rising, and smartphones replacing the classical PCs as key client platform. This resulted in development of a Mobile Data Acquisition Framework (MDAF) which will be described in this paper.
- KonferenzbeitragIntroduction to SANY (Sensors Anywhere) Integrated Project(Managing Environmental Knowledge, 2006) Havlik, Denis; Schimak, Gerald; Denzer, Ralf; Stevenot, BernhardSensors Anywhere (SANY) is an FP6 IST-5 Integrated Project dealing with sensor networks research for environmental applications. It aims to contribute to joint European Commission (EC) and the European Space Agency (ESA) “Global Monitoring for Environment and Security” (GMES) initiative by improving the interoperability of in-situ sensors and sensor networks, and allowing quick and cost-efficient reuse of data and services from currently incompatible sources in future environmental risk management applications. This ambitious goal shall be achieved by (1) specifying a (generic) standard open architecture for fixed and moving sensors and sensor networks capable of seamless "plug and measure" and sharing (virtual networks); (2) developing and validating re-usable data fusion and decision support service building blocks and a reference implementation of the architecture; (3) closely working with end users and international organisation in order to assure that the outcome of SANY contributes to future standard(s) applicable to GMES. All SANY architecture specifications shall be publicly available, validated by experts through OGC technical committee and compatible with EU and ESA infrastructure initiatives, such as Infrastructure for Spatial Information in Europe (INSPIRE; standard interfaces with geospatial information). Last, but not the least important, SANY specifications shall be realised in three innovative risk management applications covering the areas of air pollution, marine risks and geo hazards.
- KonferenzbeitragLeveraging the Future Internet - Public Private Partnership for the Environmental Usage Area(Innovations in Sharing Environmental Observations and Information, 2011) Havlik, Denis; Schade, Sven; van Wijk, Wout; Usländer, Thomas; Hierro, JuanjoIn order to address part of today’s grand scientific challenges and political agendas related to future Information and Communication Technology (ICT), the Information Society and Media Directorate General of the European Commission provided a novel scheme for innovation projects funded by the European Commission: the Future Internet Public-Private-Partnership (FI-PPP) as part of the Seventh Framework Programme for research and technological development. Eleven projects addressing the first of three intended program phases have been launched in Spring 2011. They comprise a large project dedicated to core Future Internet (FI) technology that is called FI-WARE; eight Usage Area projects, which deal with the requirement capture and functional component specifications of diverse application domains of the FI; and two support actions, one for capacity building, the other for collaboration support within and beyond the FI-PPP Programme. This paper explains the inner workings of the FI-PPP Programme, especially in relation to the Environmental Usage Area project, called ENVIROFI. This paper explains the overall relevance of the FI-PPP in terms of future eEnvironment services and Public Sector Information in Europe. It also outlines how the required contributions to the FI will be implemented, especially by detailing the interaction between ENVIROFI and FI-WARE. An outlook to a possible future of environmental ICT in Europe is included.
- KonferenzbeitragSANY – a European scale project towards shared information(Proceedings of the European conference TOWARDS eENVIRONMENT, 2009) Schimak, Gerald; Havlik, Denis
- KonferenzbeitragSensor Web Enablement based Model Web Implementation for Climate Change Applications(Innovations in Sharing Environmental Observations and Information, 2011) Bartha, Mihai; Kutschera, Peter; Havlik, DenisInteroperable Web-enabled environmental models are essential part of the service oriented environmental applications. Concepts, architectures, standards and software allowing seamless integration of models in distributed webenabled applications (Model Web) are therefore a logical extension of the quest for interoperable service infrastructures allowing visualization and data access that is currently implemented within the scope of Infrastructure for Spatial Information in Europe directive (INSPIRE), and necessary for further development of the Global Monitoring for Environment and Security (GMES), Shared Environmental Information System (SEIS), and the Global Earth Observation System of Systems (GEOSS) initiatives. SANY Sensor Service Architecture (SensorSA) proposed the Sensor Web Enablement (SWE) suite of standards developed by Open Geospatial Consortium (OGC) as a base for web-enabling the “sensor-like models”. Sensor-like in this context means that the output data model contains observations, that is a set of values with (at least) the associated units, spatial and temporal context. This is true for a great majority of environmental models, and for many other sources of information including e.g. cadastres and the Volunteered Geographic Information (VGI). This versatility of SWE, as well as its focus on processes rather than on the physical sensors is often confusing for end users. We therefore recommend use of “observation web” as a technology-neutral synonymous for sensor web in all discussions with end users and decision makers, and SWE-based Model Web for web-enabled models with SWE service interfaces and data models. Our experiences in SANY and, more recently, in SUDPLAN research project show that SWE indeed provides most of the Model Web functionality for environmental and climate change applications. The Sensor Observation Service (SOS) allows us to access both the underlying data required for the model run, as well as to expose the model results; the Sensor Planning Service to configure, schedule and control the model runs; and the Sensor Modelling Language (SensorML) and Observations & Measurements (O&M) modelling languages to describe the process and the result set respectively. This paper presents our experiences with SWE-based Model Web in SUDPLAN, and discusses the already achieved results, as well as the planned model web developments. Special attention shall be given to (1) process description in both SOS and SPS context; (2) various possibilities for presenting the time series of 2D coverages in O&M; (3) model parameterization, execution and monitoring; (4) input-, output- and processing uncertainties. Keywords: Environmental modelling; Open Geospatial Consortium; Sensor Web enablement; OGC SWE; Model Web; Observation Web; Time Series Toolbox; Sensor Service Architecture; SensorSA;