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From an IoT point of view, the continuous growth of cheap and versatile sensor technologies has generated a massive data flow in communication networks, which most of the time carries unnecessary or r...
This study has developed a framework for adoption of geospatial governance in the context of e-government in Tanzania. After examining the governance of geospatial data, identify factors affecting gov...
his essay describes an integrated approach – field survey, historic research, climate data, and topography – for the analysis of a complex stratigraphical archaeological site, highlighting its peculia...
Future wireless systems will require a paradigm shift in how they are networked, organized, configured, optimized, and recovered automatically based on their operating situations. With the emergence o...
CoMoRea workshop’s aim is to advance the state of the art in context modeling and reasoning and discuss fundamental issues in context processing and management. The goal is to identify concepts, the...
There have been various ways in which the indoor space of a building has been defined. In most of the cases the models have specific purpose on which they focus such as facility management, visualisat...
Since people spend most of their time indoors, their indoor activities and related issues in health, security and energy consumption have to be understood. Hence, gathering and representing spatial in...
We present a context- and path-sensitive algorithm for detecting memory leaks in programs with explicit memory management. Our leak detection algorithm is based on an underlying escape analysis: any a...
We present a framework for computing context-free language reachability properties when parts of the program are missing. Our framework infers candidate specifications for missing program pieces that ...
Research on Interoperability of geospatial information systems is becoming widespread in GI research community. We have identified three types of heterogeneity: semantic, schematic, and semantic. We a...
Survey is one of the most important professions for the national development activities because it provides basic data necessary for implementation of infrastructue development and industrial developm...
This paper presents a new remotely sensed solution for monitoring the recovery of a large disaster-affected area. It exploits the powerful data grid and computing grid technologies developed on GEO (G...
The term of context in mobile computing area especially in the spatio-temporal applications introduces a rich source of information, yet it has less been regarded and modelled in the related fields. S...
Local context objects have significant impact on object extraction from real aerial or satellite images, since occlusions or shadows can substantially hinder a successful extraction of a particular la...
With the increasing availability of a diverse range of datasets from sources such as airborne and terrestrial laser scanning, InSAR, and high resolution satellite remote sensing, there are improved op...

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