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Database management --- Electronic digital computers --- Expert systems (Computer science) --- Concurrency --- Database Machines --- Hardware --- Knowledge Base Machines

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The book focuses on a novel application of Intelligent Systems for supporting the operation and maintenance of power systems or other technical facilities within wind farms. Indicating a different perception of the reliability of wind farm facilities led to the possibility of extending the operation lifetime and operational readiness of wind farm equipment. Additionally, the presented approach provides a basis for extending its application to the testing and analysis of other technical facilities.

Technology: general issues --- History of engineering & technology --- information quality (IQ) --- modeling --- uncertainty --- information and communication technologies (ICT) --- intrusion detection system --- detection circuit --- temperature --- tripping thresholds --- climatic chamber --- temperature characteristics --- diagnosis reliability --- fire alarm system --- critical infrastructure --- reliability requirements --- construction facilities --- electronic security system --- electromagnetic interference --- operation --- video surveillance --- railway safety systems --- rail safety systems --- reliability --- servicing process --- intelligent systems --- wind farm device --- diagnostic process --- expert system --- knowledge base --- neural networks --- diagnostic information --- information quality (IQ) --- modeling --- uncertainty --- information and communication technologies (ICT) --- intrusion detection system --- detection circuit --- temperature --- tripping thresholds --- climatic chamber --- temperature characteristics --- diagnosis reliability --- fire alarm system --- critical infrastructure --- reliability requirements --- construction facilities --- electronic security system --- electromagnetic interference --- operation --- video surveillance --- railway safety systems --- rail safety systems --- reliability --- servicing process --- intelligent systems --- wind farm device --- diagnostic process --- expert system --- knowledge base --- neural networks --- diagnostic information

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The book focuses on a novel application of Intelligent Systems for supporting the operation and maintenance of power systems or other technical facilities within wind farms. Indicating a different perception of the reliability of wind farm facilities led to the possibility of extending the operation lifetime and operational readiness of wind farm equipment. Additionally, the presented approach provides a basis for extending its application to the testing and analysis of other technical facilities.

information quality (IQ) --- modeling --- uncertainty --- information and communication technologies (ICT) --- intrusion detection system --- detection circuit --- temperature --- tripping thresholds --- climatic chamber --- temperature characteristics --- diagnosis reliability --- fire alarm system --- critical infrastructure --- reliability requirements --- construction facilities --- electronic security system --- electromagnetic interference --- operation --- video surveillance --- railway safety systems --- rail safety systems --- reliability --- servicing process --- intelligent systems --- wind farm device --- diagnostic process --- expert system --- knowledge base --- neural networks --- diagnostic information

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The convergence of big data and geospatial computing has brought forth challenges and opportunities to Geographic Information Science with regard to geospatial data management, processing, analysis, modeling, and visualization. This book highlights recent advancements in integrating new computing approaches, spatial methods, and data management strategies to tackle geospatial big data challenges and meanwhile demonstrates opportunities for using big data for geospatial applications. Crucial to the advancements highlighted in this book is the integration of computational thinking and spatial thinking and the transformation of abstract ideas and models to concrete data structures and algorithms.

task --- workflow --- geospatial problem-solving --- knowledge base --- social media --- big data --- fine-grained emotion classification --- spatio-temporal analysis --- hazard mitigation --- missing road --- city blocks --- topology --- big mobile navigation trajectory data --- geographic knowledge representation --- geographic knowledge graph --- formalization --- GeoKG --- overlay analysis --- shape complexity --- massive data --- cloud --- parallel computing --- geovisual analytics --- machine learning --- smart card data --- transit corridor --- mobility community --- trip --- CA Markov --- land-use change prediction --- Hadoop --- MapReduce --- cloud computing --- ETL --- ELT --- sensor data --- IoT --- geospatial big data --- climate science --- metadata --- web cataloging service --- big geospatial data --- geospatial cyberinfrastructure --- topographic surface --- terrain modeling --- global terrain dataset --- geospatial computing --- cyberGIS --- GeoAI --- spatial thinking

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• Reference Manager
• EndNote
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The convergence of big data and geospatial computing has brought forth challenges and opportunities to Geographic Information Science with regard to geospatial data management, processing, analysis, modeling, and visualization. This book highlights recent advancements in integrating new computing approaches, spatial methods, and data management strategies to tackle geospatial big data challenges and meanwhile demonstrates opportunities for using big data for geospatial applications. Crucial to the advancements highlighted in this book is the integration of computational thinking and spatial thinking and the transformation of abstract ideas and models to concrete data structures and algorithms.

Research & information: general --- Geography --- task --- workflow --- geospatial problem-solving --- knowledge base --- social media --- big data --- fine-grained emotion classification --- spatio-temporal analysis --- hazard mitigation --- missing road --- city blocks --- topology --- big mobile navigation trajectory data --- geographic knowledge representation --- geographic knowledge graph --- formalization --- GeoKG --- overlay analysis --- shape complexity --- massive data --- cloud --- parallel computing --- geovisual analytics --- machine learning --- smart card data --- transit corridor --- mobility community --- trip --- CA Markov --- land-use change prediction --- Hadoop --- MapReduce --- cloud computing --- ETL --- ELT --- sensor data --- IoT --- geospatial big data --- climate science --- metadata --- web cataloging service --- big geospatial data --- geospatial cyberinfrastructure --- topographic surface --- terrain modeling --- global terrain dataset --- geospatial computing --- cyberGIS --- GeoAI --- spatial thinking --- task --- workflow --- geospatial problem-solving --- knowledge base --- social media --- big data --- fine-grained emotion classification --- spatio-temporal analysis --- hazard mitigation --- missing road --- city blocks --- topology --- big mobile navigation trajectory data --- geographic knowledge representation --- geographic knowledge graph --- formalization --- GeoKG --- overlay analysis --- shape complexity --- massive data --- cloud --- parallel computing --- geovisual analytics --- machine learning --- smart card data --- transit corridor --- mobility community --- trip --- CA Markov --- land-use change prediction --- Hadoop --- MapReduce --- cloud computing --- ETL --- ELT --- sensor data --- IoT --- geospatial big data --- climate science --- metadata --- web cataloging service --- big geospatial data --- geospatial cyberinfrastructure --- topographic surface --- terrain modeling --- global terrain dataset --- geospatial computing --- cyberGIS --- GeoAI --- spatial thinking