3,215 research outputs found
EAGLEâA Scalable Query Processing Engine for Linked Sensor Data
Recently, many approaches have been proposed to manage sensor data using semantic web technologies for effective heterogeneous data integration. However, our empirical observations revealed that these solutions primarily focused on semantic relationships and unfortunately paid less attention to spatioâtemporal correlations. Most semantic approaches do not have spatioâtemporal support. Some of them have attempted to provide full spatioâtemporal support, but have poor performance for complex spatioâtemporal aggregate queries. In addition, while the volume of sensor data is rapidly growing, the challenge of querying and managing the massive volumes of data generated by sensing devices still remains unsolved. In this article, we introduce EAGLE, a spatioâtemporal query engine for querying sensor data based on the linked data model. The ultimate goal of EAGLE is to provide an elastic and scalable system which allows fast searching and analysis with respect to the relationships of space, time and semantics in sensor data. We also extend SPARQL with a set of new query operators in order to support spatioâtemporal computing in the linked sensor data context.EC/H2020/732679/EU/ACTivating InnoVative IoT smart living environments for AGEing well/ACTIVAGEEC/H2020/661180/EU/A Scalable and Elastic Platform for Near-Realtime Analytics for The Graph of Everything/SMARTE
Identifying Geographic Clusters: A Network Analytic Approach
In recent years there has been a growing interest in the role of networks and
clusters in the global economy. Despite being a popular research topic in
economics, sociology and urban studies, geographical clustering of human
activity has often studied been by means of predetermined geographical units
such as administrative divisions and metropolitan areas. This approach is
intrinsically time invariant and it does not allow one to differentiate between
different activities. Our goal in this paper is to present a new methodology
for identifying clusters, that can be applied to different empirical settings.
We use a graph approach based on k-shell decomposition to analyze world
biomedical research clusters based on PubMed scientific publications. We
identify research institutions and locate their activities in geographical
clusters. Leading areas of scientific production and their top performing
research institutions are consistently identified at different geographic
scales
Efficient Reorganisation of Hybrid Index Structures Supporting Multimedia Search Criteria
This thesis describes the development and setup of hybrid index structures. They are access methods for retrieval techniques in hybrid data spaces which are formed by one or more relational or normalised columns in conjunction with one non-relational or non-normalised column. Examples for these hybrid data spaces are, among others, textual data combined with geographical ones or data from enterprise content management systems. However, all non-relational data types may be stored as well as image feature vectors or comparable types.
Hybrid index structures are known to function efficiently regarding retrieval operations. Unfortunately, little information is available about reorganisation operations which insert or update the row tuples. The fundamental research is mainly executed in simulation based environments. This work is written ensuing from a previous thesis that implements hybrid access structures in realistic database surroundings. During this implementation it has become obvious that retrieval works efficiently. Yet, the restructuring approaches require too much effort to be set up, e.g., in web search engine environments where several thousands of documents are inserted or modified every day. These search engines rely on relational database systems as storage backends. Hence, the setup of these access methods for hybrid data spaces is required in real world database management systems.
This thesis tries to apply a systematic approach for the optimisation of the rearrangement algorithms inside realistic scenarios. Thus, a measurement and evaluation scheme is created which is repeatedly deployed to an evolving state and a model of hybrid index structures in order to optimise the regrouping algorithms to make a setup of hybrid index structures in real world information systems possible. Thus, a set of input corpora is selected which is applied to the test suite as well as an evaluation scheme.
To sum up, it can be said that this thesis describes input sets, a test suite including an evaluation scheme as well as optimisation iterations on reorganisation algorithms reflecting a theoretical model framework to provide efficient reorganisations of hybrid index structures supporting multimedia search criteria
Heuristicsâenhanced geospatial machine learning (SaaS) of an ancient Mediterranean environment
Raw soil core physical data used in machine learning algorithms with corresponding spatial remotely sensed data is an emerging science. Using data derived from soil core samples previously collected in Universal Transverse Mercator zone 50 (Western Australia) and remotely sensed data, a model that predicted ground movement (GM) was developed specific to Australian Standards manual AS 1726â2017. This is the first approach for Australian soils and first in the world for soils older than 200 million yr. The model developed reliably predicted GM with 91.1% accuracy. The error obtained from the prediction is within acceptable limits currently used by engineers in calculations concerning soil classification for engineering purposes. Concerning the remotely sensed data analyzed, accuracy of the Atterberg limits method might be improved if additional information about soil structure (layering and horizon) or other variables (seasonal data) are built into this model. This model can be used to save on construction material costs, reduce the potential for human error associated with data collection and sample manipulation, but also fast-track (by up to 6 wk based on current wait times) building approvals while ensuring compliance to the relevant legislation. This platform also reduces the environmental effects of invasive drilling techniques. A requirement within principles of sustainable building practices, and associated with current standards commonly used by structural engineers who may seek better understanding of soil properties in Australia as a software service (with application potential in North America)
The Sub-National Politics of Setting Road Infrastructure Development Agenda (RIDA): An Insight from Yobe State, North Eastern Nigeria
Some political social and economic factors often confront democratic regimes in making decisions in their developmental strides Despite its importance however the issues of how and why road infrastructure development agenda RIDA emerged are often neglected in political discourse In Nigeria s North Eastern region and in Yobe state in particular where the availability of road infrastructure is still not adequate and financial resources and political consideration collectively require fresh insights This paper therefore provides the description and analysis of RIDA of Governor Gaidam in Yobe State from 2009-2015 through the perceptions and experiences of road development stakeholders This qualitative study involved 26 interviews with informants and review of policy documents that underscores what why and how the Yobe state developed its RIDA The finding showcases the government s mandates objectives and priority agenda setting towards achieving road infrastructure development under the regime Overall the emp has is was primarily placed on both content and context of the regime s RIDA which may positively or negatively affect the state s current and future road infrastructure developmen
CHORUS Deliverable 2.1: State of the Art on Multimedia Search Engines
Based on the information provided by European projects and national initiatives related to multimedia search as well as domains experts that participated in the CHORUS Think-thanks and workshops, this document reports on the state of the art related to multimedia content search from, a technical, and socio-economic perspective.
The technical perspective includes an up to date view on content based indexing and retrieval technologies, multimedia search in the context of mobile devices and peer-to-peer networks, and an overview of current evaluation and benchmark inititiatives to measure the performance of multimedia search engines.
From a socio-economic perspective we inventorize the impact and legal consequences of these technical advances and point out future directions of research
Metodologia para diagnĂłstico rĂĄpido de ĂĄreas de recarga de aquĂferos
The environmental tools of local appliance, such as surveillance and permits of deforestations and water use, environmental impact assessments of local scale, and delimitation of preservation areas, demand customized methodologies to deal with hydrogeological issues. In this study, a structured one for rapid environmental assessment aiming at recharge of aquifers safety was presented. This comprises qualitative and quantitative evaluations by means of textual and cartographical descriptions, complemented by weighted spreadsheets for rapid assessment. Applications in case studies took place in sites selected in the Paracatu River Basin. The results showed a positive potential for knowledge and protection of aquifers in micro-watersheds.Os instrumentos ambientais de aplicação local, tais como fiscalização, autorizaçÔes de desmate e de uso da ĂĄgua, estudos de impacto ambiental, de impacto local e averbaçÔes de reserva legal, demandam metodologias customizadas para o tratamento de questĂ”es hidrogeolĂłgicas. Neste estudo, apresentou-se um mĂ©todo estruturado para o diagnĂłstico ambiental expedito visando Ă segurança da recarga de aquĂferos. Este constitui-se de avaliaçÔes qualitativas e quantitativas por meio de descriçÔes textuais e cartogrĂĄficas, complementadas por planilhas ponderadas para anĂĄlise rĂĄpida. AplicaçÔes em estudos de caso foram realizadas em locais selecionados na Bacia do Rio Paracatu. Os resultados mostraram potencial positivo para o conhecimento e a proteção de aquĂferos em microbacias
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FOSS4G 2014 Full Conference Proceedings (papers)
This Conference Proceedings is a collection of outstanding papers and posters submitted to the Academic Program of the International Conference for Free and Open Source Software for Geospatial (FOSS4G), 08th to 13th September 2014 in Portland, Oregon, U.S.A
PAN AIR: A computer program for predicting subsonic or supersonic linear potential flows about arbitrary configurations using a higher order panel method. Volume 4: Maintenance document (version 1.1)
The Maintenance Document is a guide to the PAN AIR software system, a system which computes the subsonic or supersonic linear potential flow about a body of nearly arbitrary shape, using a higher order panel method. The document describes the over-all system and each program module of the system. Sufficient detail is given for program maintenance, updating and modification. It is assumed that the reader is familiar with programming and CDC (Control Data Corporation) computer systems. The PAN AIR system was written in FORTRAN 4 language except for a few COMPASS language subroutines which exist in the PAN AIR library. Structured programming techniques were used to provide code documentation and maintainability. The operating systems accommodated are NOS 1.2, NOS/BE and SCOPE 2.1.3 on the CDC 6600, 7600 and Cyber 175 computing systems. The system is comprised of a data management system, a program library, an execution control module and nine separate FORTRAN technical modules. Each module calculates part of the posed PAN AIR problem. The data base manager is used to communicate between modules and within modules. The technical modules must be run in a prescribed fashion for each PAN AIR problem. In order to ease the problem of supplying the many JCL cards required to execute the modules, a separate module called MEC (Module Execution Control) was created to automatically supply most of the JCL cards. In addition to the MEC generated JCL, there is an additional set of user supplied JCL cards to initiate the JCL sequence stored on the system
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