Auswahl der wissenschaftlichen Literatur zum Thema „Spatial Data Focusing“
Geben Sie eine Quelle nach APA, MLA, Chicago, Harvard und anderen Zitierweisen an
Inhaltsverzeichnis
Machen Sie sich mit den Listen der aktuellen Artikel, Bücher, Dissertationen, Berichten und anderer wissenschaftlichen Quellen zum Thema "Spatial Data Focusing" bekannt.
Neben jedem Werk im Literaturverzeichnis ist die Option "Zur Bibliographie hinzufügen" verfügbar. Nutzen Sie sie, wird Ihre bibliographische Angabe des gewählten Werkes nach der nötigen Zitierweise (APA, MLA, Harvard, Chicago, Vancouver usw.) automatisch gestaltet.
Sie können auch den vollen Text der wissenschaftlichen Publikation im PDF-Format herunterladen und eine Online-Annotation der Arbeit lesen, wenn die relevanten Parameter in den Metadaten verfügbar sind.
Zeitschriftenartikel zum Thema "Spatial Data Focusing"
Guaragnella, Cataldo, und Tiziana D’Orazio. „A Data-Driven Approach to SAR Data-Focusing“. Sensors 19, Nr. 7 (06.04.2019): 1649. http://dx.doi.org/10.3390/s19071649.
Der volle Inhalt der QuelleTAKAHASHI, KAZUKO, und TAKAO SUMITOMO. „THE QUALITATIVE TREATMENT OF SPATIAL DATA“. International Journal on Artificial Intelligence Tools 16, Nr. 04 (August 2007): 661–82. http://dx.doi.org/10.1142/s0218213007003497.
Der volle Inhalt der QuelleKoh, Keumseok, Ayaz Hyder, Yogita Karale und Maged N. Kamel Boulos. „Big Geospatial Data or Geospatial Big Data? A Systematic Narrative Review on the Use of Spatial Data Infrastructures for Big Geospatial Sensing Data in Public Health“. Remote Sensing 14, Nr. 13 (23.06.2022): 2996. http://dx.doi.org/10.3390/rs14132996.
Der volle Inhalt der QuelleCsomós, György. „On the challenges ahead of spatial scientometrics focusing on the city level“. Aslib Journal of Information Management 72, Nr. 1 (20.11.2019): 67–87. http://dx.doi.org/10.1108/ajim-06-2019-0152.
Der volle Inhalt der QuelleFurman, Alex, Ty P. Ferré und Gail L. Heath. „Spatial focusing of electrical resistivity surveys considering geologic and hydrologic layering“. GEOPHYSICS 72, Nr. 2 (März 2007): F65—F73. http://dx.doi.org/10.1190/1.2433737.
Der volle Inhalt der QuelleFeuillet, Thierry, Julien Coquin, Denis Mercier, Etienne Cossart, Armelle Decaulne, Helgi Páll Jónsson und þorsteinn Sæmundsson. „Focusing on the spatial non-stationarity of landslide predisposing factors in northern Iceland“. Progress in Physical Geography: Earth and Environment 38, Nr. 3 (16.04.2014): 354–77. http://dx.doi.org/10.1177/0309133314528944.
Der volle Inhalt der QuelleMurakami, Daisuke, Mami Kajita und Seiji Kajita. „Scalable Model Selection for Spatial Additive Mixed Modeling: Application to Crime Analysis“. ISPRS International Journal of Geo-Information 9, Nr. 10 (30.09.2020): 577. http://dx.doi.org/10.3390/ijgi9100577.
Der volle Inhalt der QuelleRyan, Kendra, Andy Danylchuk und Adrian Jordaan. „Is Marine Spatial Planning Enough to Overcome Biological Data Deficiencies?“ Journal of Environmental Assessment Policy and Management 20, Nr. 04 (Dezember 2018): 1850012. http://dx.doi.org/10.1142/s1464333218500126.
Der volle Inhalt der QuelleYeo, JungYoon, JooBong Jeong und JongKyu Kim. „Spatial Distribution Characteristics of Seagrass Habitat Based on Remote Sensing Data: Focusing on Wan Island“. GEO DATA 4, Nr. 2 (30.06.2022): 23–36. http://dx.doi.org/10.22761/dj2022.4.2.003.
Der volle Inhalt der QuelleTian, Siquan, Yong Chen, Xinjun Chen, Liuxiong Xu und Xiaojie Dai. „Impacts of spatial scales of fisheries and environmental data on catch per unit effort standardisation“. Marine and Freshwater Research 60, Nr. 12 (2009): 1273. http://dx.doi.org/10.1071/mf09087.
Der volle Inhalt der QuelleDissertationen zum Thema "Spatial Data Focusing"
Odhiambo, Michael Derrick. „Spatial data focusing using direct sequence spread spectrum modulation“. Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS060.
Der volle Inhalt der QuelleThis work proposes the implementation of Spatial Data Focusing (SDF) using spread spectrum techniques. SDF was recently proposed as a candidate alternative to classical power focusing schemes in wireless geocasting applications. Unlike power focusing approaches where radiated power is directed to a defined direction, in SDF, it is the data to be transmitted that is processed in such a manner that it can only be decoded at a predefined location. This work exploits the dual orthogonality due to classical quadrature components and orthogonal Gold spreading sequences to design the IQ and spread spectrum based spatial data focusing (DSSS-SDF-IQ) scheme. It is demonstrated that SDF attains better spatial selectivity than classical power focusing for a given antenna array size. The robustness of the proposed scheme is subsequently demonstrated by implementing it over a classical Urban Canyon 6-ray multipath channel model, where it is shown that the scheme can exhibit beamwidth as narrow as 1 degree with only a 4-antenna array. In SDF, the beamwidth is defined as the area within which data can be decoded as opposed to classical half power beamwidth. Chapter 1 introduces the concept of geocasting. Chapter 2 reviews the different techniques that enable directional capabilities on base stations. Chapter 3 introduces the principles of direct sequence spread spectrum based SDF. Chapter 4 investigates the influence of multipath channel on DSSS-SDF scheme. For all the cases studied above, relevant simulations are implemeneted to validate the discussions. Chapter 5 summarizes the work with a conclusion and perspective on possible future research directions
Molineaux, Guylian. „Spatial Data Focusing for High-Precision Wireless Geocasting : Theoretical System Design and Practical Proof of Concept“. Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS491.
Der volle Inhalt der QuelleThis thesis investigates spatial data focusing (SDF) as a means of performing wireless physical-layer geocasting, i.e. location-based multicasting or geographically-confined broadcasting. This novel approach can aid in providing location-based services and messaging to large groups of mobile devices that exist in emerging internet-of-things frameworks for smart cities, industries, healthcare, etc., providing users with information that is related or contextualized to their geographical location. It addresses and avoids privacy concerns that exist in conventional location-based services, where users are required to disclose their location. In addition, it overcomes node self-localization requirements and the challenging balance between overhead, scalability, and delivery rate that exist in network-layer geocast routing algorithms. Most importantly, it succeeds in increasing precision, reducing array size, and minimizing complexity - the most crucial conditions in making physical-layer geocasting an attractive scheme - compared to conventional beamforming-based power focusing approaches. Within the SDF framework, it additionally addresses two fundamental shortcomings. That is, (i) a limitation to focusing in the angular domain only or, equivalently, the inability for range-domain focusing and (ii) a severe sensitivity to multipath propagation that jeopardizes correct operation outside hypothetical free space channels. They are overcome by designing two novel SDF architectures that exploit multi-frequency transmission resources in an orthogonal frequency-division multiplexing (OFDM) and frequency diverse array (FDA) framework. Additionally, an experimental proof-of-concept SDF architecture is developed that demonstrates its practical achievability as a novel geocasting technique
Bücher zum Thema "Spatial Data Focusing"
Majumdar, Satya N. Random growth models. Herausgegeben von Gernot Akemann, Jinho Baik und Philippe Di Francesco. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198744191.013.38.
Der volle Inhalt der QuelleGao, Yanhong, und Deliang Chen. Modeling of Regional Climate over the Tibetan Plateau. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.591.
Der volle Inhalt der QuelleBuchteile zum Thema "Spatial Data Focusing"
van Nes, Akkelies, und Claudia Yamu. „Empirical Data Collection and Analysis, and Connecting Data with Space Syntax“. In Introduction to Space Syntax in Urban Studies, 133–70. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-59140-3_5.
Der volle Inhalt der QuelleGarcía-Álvarez, David, Javier Lara Hinojosa, Francisco José Jurado Pérez und Jaime Quintero Villaraso. „Global General Land Use Cover Datasets with a Time Series of Maps“. In Land Use Cover Datasets and Validation Tools, 287–311. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90998-7_15.
Der volle Inhalt der QuelleSmith, Janet L., Zafer Sonmez und Nicholas Zettel. „Growing Income Inequality and Socioeconomic Segregation in the Chicago Region“. In The Urban Book Series, 349–69. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64569-4_18.
Der volle Inhalt der QuelleGarcía-Álvarez, David, Javier Lara Hinojosa und Francisco José Jurado Pérez. „Global Thematic Land Use Cover Datasets Characterizing Artificial Covers“. In Land Use Cover Datasets and Validation Tools, 419–42. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90998-7_21.
Der volle Inhalt der QuelleGarcía-Álvarez, David, Javier Lara Hinojosa und Jaime Quintero Villaraso. „Global General Land Use Cover Datasets with a Single Date“. In Land Use Cover Datasets and Validation Tools, 269–86. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90998-7_14.
Der volle Inhalt der QuelleMas, Jean-François, David García-Álvarez, Martin Paegelow, Roberto Domínguez-Vera und Miguel Ángel Castillo-Santiago. „Metrics Based on a Cross-Tabulation Matrix to Validate Land Use Cover Maps“. In Land Use Cover Datasets and Validation Tools, 127–51. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90998-7_8.
Der volle Inhalt der QuelleJia, Menghao, Fanyi Zhang, Xinyi Lyu, Yuncheng Wen und Hua Xu. „Three-Dimensional Hydrodynamic Analysis and Early Warning of Ω-Collapse in the Lower Reaches of the Yangtze River Based on Experimental Study on Generalized Model“. In Lecture Notes in Civil Engineering, 1589–603. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6138-0_140.
Der volle Inhalt der QuelleOwen, Gwilym, Yu Chen, Gwilym Pryce, Tim Birabi, Hui Song und Bifeng Wang. „Deprivation Indices in China: Establishing Principles for Application and Interpretation“. In The Urban Book Series, 305–27. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74544-8_14.
Der volle Inhalt der QuelleDibble, Catherine. „Beyond Data: Handling Spatial and Analytical Contexts with Genetics-Based Machine Learning“. In Spatial Evolutionary Modeling. Oxford University Press, 2001. http://dx.doi.org/10.1093/oso/9780195135688.003.0012.
Der volle Inhalt der QuelleMonsia, Symphorien, und Sami Faiz. „High-Level Languages for Geospatial Analysis of Big Data“. In Interdisciplinary Approaches to Spatial Optimization Issues, 62–81. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-1954-7.ch004.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Spatial Data Focusing"
Sarrazin, Julien, Michael Odhiambo, Sidney Golstein, Philippe De Doncker und Francois Horlin. „Spatial Data Focusing: An Alternative to Beamforming for Geocasting Scenarios“. In 2018 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium). IEEE, 2018. http://dx.doi.org/10.1109/usnc-ursi.2018.8602761.
Der volle Inhalt der QuelleMolineaux, Guylian, Sidney Golstein, Michael Odhiambo, Francois Horlin, Philippe De Doncker und Julien Sarrazin. „Spatial Data Focusing Using Time and IQ Resources for Wireless Geocasting“. In GLOBECOM 2019 - 2019 IEEE Global Communications Conference. IEEE, 2019. http://dx.doi.org/10.1109/globecom38437.2019.9013948.
Der volle Inhalt der QuelleMolineaux, Guylian, Michael Odhiambo, Francois Horlin, Philippe De Doncker und Julien Sarrazin. „OFDM-based Spatial Data Focusing for High Resolution 2-Dimensional Wireless Geocasting“. In 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications. IEEE, 2020. http://dx.doi.org/10.1109/pimrc48278.2020.9217222.
Der volle Inhalt der QuelleMolineaux, Guylian, François Horlin, Muriel Darces, Philippe De Doncker und Julien Sarrazin. „Frequency Diverse Array Spatial Data Focusing: Free Space and Multipath Experimental Validation“. In GLOBECOM 2023 - 2023 IEEE Global Communications Conference. IEEE, 2023. http://dx.doi.org/10.1109/globecom54140.2023.10436781.
Der volle Inhalt der QuelleBocquet, Michael, Atika Rivenq, Christophe Loyez und Nathalie Rolland. „A focusing technique based on a data spatial diversity at millimetre-wave frequency“. In 2014 44th European Microwave Conference (EuMC). IEEE, 2014. http://dx.doi.org/10.1109/eumc.2014.6986584.
Der volle Inhalt der QuelleMolineaux, Guylian, Francois Horlin, Philippe De Doncker und Julien Sarrazin. „Frequency Diverse Array Spatial Data Focusing for High Precision Range-angle-based Geocasting“. In GLOBECOM 2022 - 2022 IEEE Global Communications Conference. IEEE, 2022. http://dx.doi.org/10.1109/globecom48099.2022.10001165.
Der volle Inhalt der QuelleMuenchausen, R. E., A. R. Garcia, R. A. Keller und N. S. Nogar. „Studies of Gasdynamic Focusing in a Near Critically Choked Expansion“. In Laser Applications to Chemical Analysis. Washington, D.C.: Optica Publishing Group, 1987. http://dx.doi.org/10.1364/laca.1987.wa7.
Der volle Inhalt der QuelleConstantinides, Yiannis, und Owen H. Oakley. „Numerical Simulations of Cylinder VIV Focusing on High Harmonics“. In ASME 2009 28th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2009. http://dx.doi.org/10.1115/omae2009-80002.
Der volle Inhalt der QuelleShin, Junseob, Jean-Luc Robert, Can Meral, Iason Apostolakis, Man Nguyen und Jason Yu. „K-space domain spatial filtering for retrospective transmit beam focusing/shaping and per-element data estimation from arrays with microbeamforming“. In 2022 IEEE International Ultrasonics Symposium (IUS). IEEE, 2022. http://dx.doi.org/10.1109/ius54386.2022.9957563.
Der volle Inhalt der QuelleImitazione, G., F. Zolezzi, A. Murianni, F. Giovacchini und M. Miola. „3D Ground Model: An Alternative Approach for the Treatment of Heterogeneously Distributed Spatial Data“. In Offshore Technology Conference. OTC, 2024. http://dx.doi.org/10.4043/35265-ms.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Spatial Data Focusing"
Aguilar, G., H. Waqa-Sakiti und L. Winder. Using Predicted Locations and an Ensemble Approach to Address Sparse Data Sets for Species Distribution Modelling: Long-horned Beetles (Cerambycidae) of the Fiji Islands. Unitec ePress, Dezember 2016. http://dx.doi.org/10.34074/book.008.
Der volle Inhalt der QuelleWalker, Samantha, Tomoko McGaughey und Paul Peters. Spatial models of access to health and care services in rural and remote Canada: a scoping review protocol. Spatial Determinants of Health Lab, 2023. http://dx.doi.org/10.22215/rrep/2023.sdhl.606.
Der volle Inhalt der QuelleBoyle, Maxwell, und Elizabeth Rico. Terrestrial vegetation monitoring at Fort Pulaski National Monument: 2019 data summary. National Park Service, Dezember 2021. http://dx.doi.org/10.36967/nrds-2288716.
Der volle Inhalt der QuelleMushongera, Darlington, Prudence Kwenda und Miracle Ntuli. An analysis of well-being in Gauteng province using the capability approach. Gauteng City-Region Observatory, 2020. http://dx.doi.org/10.36634/2020.op.1.
Der volle Inhalt der QuelleLand Conflicts in India: An Interim Analysis. Rights and Resources Initiative, November 2016. http://dx.doi.org/10.53892/dogb3075.
Der volle Inhalt der Quelle