Angebote zu "Symposium" (7 Treffer)

Kategorien

Shops

Proceedings of the 3rd Brazilian Technology Sym...
158,59 € *
ggf. zzgl. Versand

This book presents the proceedings of the 3rd Brazilian Technology Symposium (BTSym), which is a multi/trans/interdisciplinary event offering an excellent forum for presentations and discussions of the latest scientific and technological developments in various areas of research, with an emphasis on smart design and future technologies.It brings together researchers, students and professionals from the industrial and academic sectors to discuss current technological issues. Among the main topics covered in this book, we can highlight Artificial Neural Networks, Computational Vision, Security Applications, Web Tool, Cloud Environment, Network Functions Virtualization, Software-Defined Networks, IoT, Residential Automation, Data Acquisition, Industry 4.0, Cyber-Physical Systems, Digital Image Processing, Infrared Images, Patters Recognition, Digital Video Processing, Precoding, Embedded Systems, Machine Learning, Remote Sensing, Wireless Sensor Network, Heterogeneous Networks, Unmanned Ground Vehicle, Unmanned Aerial System, Security, Surveillance, Traffic Analysis, Digital Television, 5G, Image Filter, Partial Differential Equation, Smoothing Filters, Voltage Controlled Ring Oscillator, Difference Amplifier, Photocatalysis, Photodegradation, Cosmic Radiation Effects, Radiation Hardening Techniques, Surface Electromyography, Sickle cell disease methodology, MicroRNAs, Image Processing Venipuncture, Cognitive Ergonomics, Ecosystem services, Environmental, Power Generation, Ecosystem services valuation, Solid Waste and University Extension.

Anbieter: Dodax
Stand: 05.06.2020
Zum Angebot
The Rise of Big Spatial Data
235,37 € *
ggf. zzgl. Versand

This edited volume gathers the proceedings of the Symposium GIS Ostrava 2016, the Rise of Big Spatial Data, held at the Technical University of Ostrava, Czech Republic, March 16-18, 2016. Combining theoretical papers and applications by authors from around the globe, it summarises the latest research findings in the area of big spatial data and key problems related to its utilisation.Welcome to dawn of the big data era: though it's in sight, it isn't quite here yet. Big spatial data is characterised by three main features: volume beyond the limit of usual geo-processing, velocity higher than that available using conventional processes, and variety, combining more diverse geodata sources than usual. The popular term denotes a situation in which one or more of these key properties reaches a point at which traditional methods for geodata collection, storage, processing, control, analysis, modelling, validation and visualisation fail to provide effective solutions.Entering the era of big spatial data calls for finding solutions that address all "small data" issues that soon create "big data" troubles. Resilience for big spatial data means solving the heterogeneity of spatial data sources (in topics, purpose, completeness, guarantee, licensing, coverage etc.), large volumes (from gigabytes to terabytes and more), undue complexity of geo-applications and systems (i.e. combination of standalone applications with web services, mobile platforms and sensor networks), neglected automation of geodata preparation (i.e. harmonisation, fusion), insufficient control of geodata collection and distribution processes (i.e. scarcity and poor quality of metadata and metadata systems), limited analytical tool capacity (i.e. domination of traditional causal-driven analysis), low visual system performance, inefficient knowledge-discovery techniques (for transformation of vast amounts of information into tiny and essential outputs) and much more. These trends are accelerating as sensors become more ubiquitous around the world.

Anbieter: Dodax
Stand: 05.06.2020
Zum Angebot
Canadian Semantic Web
237,90 CHF *
ggf. zzgl. Versand

Canadian Semantic Web is an edited volume based on the first Canadian Web Working Symposium, June 2006, in Quebec, Canada. This volume includes but is not limited to the following popular topics: 'Trust, Privacy, Security on the Semantic Web,' 'Semantic Grid and Semantic Grid Services' and 'Semantic Web Mining.' TOC:Preface.- Program committee.- Keynote session.- Service-Oriented Computing: Multiagent Foundation, Robust Applications, and Research Agenda.- Technical session: Applications I.- A Semantic Web Mediation Architecture.- Applying and Inferring Fuzzy Trust in Semantic Web Social Networks.- A Trust Model for Sharing Ratings of Information Providers.- on the Semantic Web.- Technical session: Applications II.- A Distributed Agent System Upon Semantic Web Technologies.- to Provide Biological DataFulfilling the Needs of a Metadata Creator and Analyst 1) An Investigation of RDF Browsing and Visualization Tools.- A Rule-based Approach for Semantic Annotation.- Evolution in the CoSWEN System.- Technical session: Ontologies I.- Integrating Ontologies by Means of Semantic Partitioning.- Toward the Identification and Elimination of Semantic Conflicts for Integration of Ontologies.- Incorporating Multiple Ontologies into the IEEE Learning.- Object Metadata Standard.- Ontoligent Interactive Query Tool.- Technical session: Ontologies II.- DatalogDL: Datalog Rules Parameterized by Description Logics.- Resolution-based Explanations for Reasoning in Description Logic ALC - Completion Rules for Uncertainty Reasoning for the Description Logic ALC.- Author Index.

Anbieter: Orell Fuessli CH
Stand: 05.06.2020
Zum Angebot
The Rise of Big Spatial Data
275,90 CHF *
ggf. zzgl. Versand

This edited volume gathers the proceedings of the Symposium GIS Ostrava 2016, the Rise of Big Spatial Data, held at the Technical University of Ostrava, Czech Republic, March 16-18, 2016. Combining theoretical papers and applications by authors from around the globe, it summarises the latest research findings in the area of big spatial data and key problems related to its utilisation. Welcome to dawn of the big data era: though it's in sight, it isn't quite here yet. Big spatial data is characterised by three main features: volume beyond the limit of usual geo-processing, velocity higher than that available using conventional processes, and variety, combining more diverse geodata sources than usual. The popular term denotes a situation in which one or more of these key properties reaches a point at which traditional methods for geodata collection, storage, processing, control, analysis, modelling, validation and visualisation fail to provide effective solutions. >Entering the era of big spatial data calls for finding solutions that address all 'small data' issues that soon create 'big data' troubles. Resilience for big spatial data means solving the heterogeneity of spatial data sources (in topics, purpose, completeness, guarantee, licensing, coverage etc.), large volumes (from gigabytes to terabytes and more), undue complexity of geo-applications and systems (i.e. combination of standalone applications with web services, mobile platforms and sensor networks), neglected automation of geodata preparation (i.e. harmonisation, fusion), insufficient control of geodata collection and distribution processes (i.e. scarcity and poor quality of metadata and metadata systems), limited analytical tool capacity (i.e. domination of traditional causal-driven analysis), low visual system performance, inefficient knowledge-discovery techniques (for transformation of vast amounts of information into tiny and essential outputs) and much more. These trends are accelerating as sensors become more ubiquitous around the world.

Anbieter: Orell Fuessli CH
Stand: 05.06.2020
Zum Angebot
The Rise of Big Spatial Data
227,20 € *
ggf. zzgl. Versand

This edited volume gathers the proceedings of the Symposium GIS Ostrava 2016, the Rise of Big Spatial Data, held at the Technical University of Ostrava, Czech Republic, March 16-18, 2016. Combining theoretical papers and applications by authors from around the globe, it summarises the latest research findings in the area of big spatial data and key problems related to its utilisation. Welcome to dawn of the big data era: though it's in sight, it isn't quite here yet. Big spatial data is characterised by three main features: volume beyond the limit of usual geo-processing, velocity higher than that available using conventional processes, and variety, combining more diverse geodata sources than usual. The popular term denotes a situation in which one or more of these key properties reaches a point at which traditional methods for geodata collection, storage, processing, control, analysis, modelling, validation and visualisation fail to provide effective solutions. >Entering the era of big spatial data calls for finding solutions that address all 'small data' issues that soon create 'big data' troubles. Resilience for big spatial data means solving the heterogeneity of spatial data sources (in topics, purpose, completeness, guarantee, licensing, coverage etc.), large volumes (from gigabytes to terabytes and more), undue complexity of geo-applications and systems (i.e. combination of standalone applications with web services, mobile platforms and sensor networks), neglected automation of geodata preparation (i.e. harmonisation, fusion), insufficient control of geodata collection and distribution processes (i.e. scarcity and poor quality of metadata and metadata systems), limited analytical tool capacity (i.e. domination of traditional causal-driven analysis), low visual system performance, inefficient knowledge-discovery techniques (for transformation of vast amounts of information into tiny and essential outputs) and much more. These trends are accelerating as sensors become more ubiquitous around the world.

Anbieter: Thalia AT
Stand: 05.06.2020
Zum Angebot
Canadian Semantic Web
198,00 € *
ggf. zzgl. Versand

Canadian Semantic Web is an edited volume based on the first Canadian Web Working Symposium, June 2006, in Quebec, Canada. This volume includes but is not limited to the following popular topics: 'Trust, Privacy, Security on the Semantic Web,' 'Semantic Grid and Semantic Grid Services' and 'Semantic Web Mining.' TOC:Preface.- Program committee.- Keynote session.- Service-Oriented Computing: Multiagent Foundation, Robust Applications, and Research Agenda.- Technical session: Applications I.- A Semantic Web Mediation Architecture.- Applying and Inferring Fuzzy Trust in Semantic Web Social Networks.- A Trust Model for Sharing Ratings of Information Providers.- on the Semantic Web.- Technical session: Applications II.- A Distributed Agent System Upon Semantic Web Technologies.- to Provide Biological DataFulfilling the Needs of a Metadata Creator and Analyst 1) An Investigation of RDF Browsing and Visualization Tools.- A Rule-based Approach for Semantic Annotation.- Evolution in the CoSWEN System.- Technical session: Ontologies I.- Integrating Ontologies by Means of Semantic Partitioning.- Toward the Identification and Elimination of Semantic Conflicts for Integration of Ontologies.- Incorporating Multiple Ontologies into the IEEE Learning.- Object Metadata Standard.- Ontoligent Interactive Query Tool.- Technical session: Ontologies II.- DatalogDL: Datalog Rules Parameterized by Description Logics.- Resolution-based Explanations for Reasoning in Description Logic ALC - Completion Rules for Uncertainty Reasoning for the Description Logic ALC.- Author Index.

Anbieter: Thalia AT
Stand: 05.06.2020
Zum Angebot