Sharing Human-Generated Observations by Integrating HMI and the Semantic Sensor Web

Current “Internet of Things” concepts point to a future where connected objects gather meaningful information about their environment and share it with other objects and people. In particular, objects embedding Human Machine Interaction (HMI), such as mobile devices and, increasingly, connected vehicles, home appliances, urban interactive infrastructures, etc., may not only be conceived as sources of sensor information, but, through interaction with their users, they can also produce highly valuable context-aware human-generated observations. We believe that the great promise offered by combining and sharing all of the different sources of information available can be realized through the integration of HMI and Semantic Sensor Web technologies. This paper presents a technological framework that harmonizes two of the most influential HMI and Sensor Web initiatives: the W3C’s Multimodal Architecture and Interfaces (MMI) and the Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) with its semantic extension, respectively. Although the proposed framework is general enough to be applied in a variety of connected objects integrating HMI, a particular development is presented for a connected car scenario where drivers’ observations about the traffic or their environment are shared across the Semantic Sensor Web. For implementation and evaluation purposes an on-board OSGi (Open Services Gateway Initiative) architecture was built, integrating several available HMI, Sensor Web and Semantic Web technologies. A technical performance test and a conceptual validation of the scenario with potential users are reported, with results suggesting the approach is soun

A Land Reform Program for the Integrated Korean Economy

Since the division of the Korean peninsula in 1945, different land systems have been applied in South and North Korea. When the country will be once reunified, the integration of the different land systems into one poses one of the most difficult tasks. The direction of integration depends, inter alia, on how national reunification will be realized and what kind of economic system will be adopted after unification. Regarding the mode of reunification, there are three different scenarios under consideration: the confederation scenario, the gradualist approach (convergence) and the big-bang approach. In case of the first and second scenario, there would arise little problem with respect to land system sntegration, because both parties would consult with each other and would be prepared to work out a new system suitable for the unified nation. In this paper, no detailed discussions about the modus of national unification will be presented. Rather, the general problems will be put into focus that are likely to occur when the two different land Systems will be integrated into one

Integration and coordination in a cognitive vision system

In this paper, we present a case study that exemplifies general ideas of system integration and coordination. The application field of assistant technology provides an ideal test bed for complex computer vision systems including real-time components, human-computer interaction, dynamic 3-d environments, and information retrieval aspects. In our scenario the user is wearing an augmented reality device that supports her/him in everyday tasks by presenting information that is triggered by perceptual and contextual cues. The system integrates a wide variety of visual functions like localization, object tracking and recognition, action recognition, interactive object learning, etc. We show how different kinds of system behavior are realized using the Active Memory Infrastructure that provides the technical basis for distributed computation and a data- and eventdriven integration approach

Scenario Development for Unmanned Aircraft System Simulation-Based Immersive Experiential Learning

Application of scenario-based training can serve as practical means of educating remote pilots and sensor operators as they seek professional levels of knowledge. Both education and training can build upon time-tested training and simulation methodologies that apply simulators in settings that mirror real-world operations. Embry-Riddle Aeronautical University’s unmanned aircraft system (UAS) program curriculum is rooted in immersive simulation that offers students an experiential learning experience that is aimed to develop higher-order thinking skills. Skills that are critical to professional levels of performance. The degree program builds from basic application skills to critical thinking skills by using immersive scenario-based training in a generic medium altitude long endurance (MALE) UAS simulator. This MALE UAS has capabilities akin to the General Atomics Aeronautical Systems, Inc.,Guardian. This paper serves to discuss the development, application, and integration of scenario-based training that is typified by an experiential learning theory (ELT) approach. The growing need for professional civil and military UAS remote pilots, and sensor operators, necessitates a methodical approach to education and training; the rich history of manned pilot education and training that leads to certification demonstrates a validated pathway that can be followed by the UAS community

Integrated approach to the assessment of CO2e-mitigation measures for the road passenger transport sector in Bahrain

The transport sector is one of the fastest-growing energy-consuming sectors in the world and it contributes greatly to emissions of carbon dioxide equivalent (CO2e). In Bahrain, CO2e emissions from the transport sector grew by an average of 8% annually between 1994 and 2006. The aim of this research was to develop an integrated approach to assess the measures adopted to reduce CO2e emissions by the transport sector within the context of climate change mitigation. This approach used the multi-criteria analysis methodology of the Analytic Hierarchy Process (AHP) to embed conventional assessment methods and a participatory approach. Three extensions to the original AHP methodology were developed: multi-AHP models, scenario packaging, and the examination of the plausibility of the results. The AHP results showed that certain fuel economy standards achieved the highest scores against five qualitative and quantitative criteria. Using socially and politically acceptable options, an integrated approach to CO2e mitigation could achieve a reduction in emissions of around 22% by 2030 (compared with 2010), at a cost of USD 112 per metric tonne of avoided CO2e emissions. Results from surveys of policymakers, experts, and the general public indicated that the outcomes of scenario packaging were plausible. The contributions of this research are two-fold. First, for the first time in Bahrain, the preferences of the general public have been considered and integrated with both the preferences of policymakers and experts and the results obtained from conventional assessment methods. Second, a structured approach for the integration of different assessment methods, transferable to other contexts, was developed and examined. Furthermore, multi-AHP models were introduced that can reflect the preferences of different concerned groups. Applications of this approach include assessment of the implementation of mitigation measures that could affect a number of concerned groups, decision making in energy-consuming sectors, and development of mitigation policy packages

A strategy to gradual implementation of data interoperability

Data interoperability is a major concern on e-government, both from the point of view of service offering and from the point of view of public administration efficiency. This paper purposes an incremental, pragmatic approach to data interoperability. It is argued that integration with minor required initial efforts from institutions is feasible, may provide useful solutions and is a solid ground basis for subsequent evolution. This paper presents general guidelines and model solutions to support this approach. Also, presents a demo implementation that proves feasibility of the purposed models and delivers useful solutions on a specific business e-government scenario. Although still limited in range and demonstrated on a quite specific business environment, it is expected that the analysis and the proposed strategies, solutions and models be of interest on a larger spectrum of data interoperability problems.info:eu-repo/semantics/acceptedVersio

Implementation of the CAP Policy Options with the Land Use Modelling Platform - A first indicator-based analysis

This report presents the results of a study aiming to assess the environmental impact of two alternative scenarios for the new Common Agricultural Policy, evaluated by using the features of the Land Use Modelling Platform (LUMP). The first scenario set the baseline conditions in form of the Status Quo; the second was a policy alternative, Integration. The scenarios set the framework for the economic drivers as analysed by CAPRI, which the LUMP integrates to produce detailed and geographically specific projections of changes in land use/cover between 2006 and 2020. The changes in land use/cover were then evaluated for their impact on various environmental sectors by comparing their effect on a set of relevant indicators of environmental conditions. The simulations have shown that the greening options expressed under the Integration policy option produce an overall impact that can be measured with a set of land use/cover based indicators. In general terms, the greening options reduce the pressure on naturally vegetated areas and on environmentally sensitive sites. This modelling approach has proven to be applicable for the evaluation of the new CAP scenario and the implementation of policy options, in the frame of the overall objectives of the reform. Due to the characteristics of the modelling framework, the set of computed indicators shows the differentiation of the impacts at national and regional levels, allowing the assessment of the impacts of the new CAP in the proper geographical context.JRC.H.7-Land management and natural hazard

Fluctuation-Induced Interactions Between Ellipsoidal Particle and Planar Substrate Immersed in Critical Medium

In our study we investigate the behaviour of the net force (NF) emerging between an ellipsoidal particle and a thick plate (slab), when the interaction takes place in a near critical fluid medium with account for the omnipresent van der Waals forces (vdWF). Here we consider the case of complete wetting of the objects surfaces by the medium, due to strong adsorbing local surface potentials, exerted by thin solid coating films. The influence of the bulk inner regions of the particle and the slab on the constituents of the fluid results in long-ranged competing dispersion potentials. As a consequence from the critical fluctuations of the medium, the system experiences an additional effective interaction, traditionally termed critical Casimir force (CCF). The forces of interest are evaluated numerically from integral expressions obtained utilizing general scaling arguments and mean-field type calculations in combination with the so-called "surface integration approach" (SIA). Within the scenario considered here, this technique is applicable if one has knowledge of the forces between two parallel semi-infinite plates, confining in between some fluctuating fluid medium characterized by its temperature $T$ and chemical potential $\mu$. It is demonstrated that for a suitable set of particle-fluid, slab-fluid, and fluid-fluid coupling parameters the competition between the effects due to the coatings and the core regions of the objects result, when one changes $T$ or $\mu$, in {\it sign change} of the NF acting between the ellipsoid and the slab.Comment: 8 pages, 2 figues. arXiv admin note: text overlap with arXiv:1702.0491