Littérature scientifique sur le sujet « Spatial Data Focusing »
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Articles de revues sur le sujet "Spatial Data Focusing"
Guaragnella, Cataldo, et Tiziana D’Orazio. « A Data-Driven Approach to SAR Data-Focusing ». Sensors 19, no 7 (6 avril 2019) : 1649. http://dx.doi.org/10.3390/s19071649.
Texte intégralTAKAHASHI, KAZUKO, et TAKAO SUMITOMO. « THE QUALITATIVE TREATMENT OF SPATIAL DATA ». International Journal on Artificial Intelligence Tools 16, no 04 (août 2007) : 661–82. http://dx.doi.org/10.1142/s0218213007003497.
Texte intégralKoh, Keumseok, Ayaz Hyder, Yogita Karale et 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, no 13 (23 juin 2022) : 2996. http://dx.doi.org/10.3390/rs14132996.
Texte intégralCsomós, György. « On the challenges ahead of spatial scientometrics focusing on the city level ». Aslib Journal of Information Management 72, no 1 (20 novembre 2019) : 67–87. http://dx.doi.org/10.1108/ajim-06-2019-0152.
Texte intégralFurman, Alex, Ty P. Ferré et Gail L. Heath. « Spatial focusing of electrical resistivity surveys considering geologic and hydrologic layering ». GEOPHYSICS 72, no 2 (mars 2007) : F65—F73. http://dx.doi.org/10.1190/1.2433737.
Texte intégralFeuillet, Thierry, Julien Coquin, Denis Mercier, Etienne Cossart, Armelle Decaulne, Helgi Páll Jónsson et þorsteinn Sæmundsson. « Focusing on the spatial non-stationarity of landslide predisposing factors in northern Iceland ». Progress in Physical Geography : Earth and Environment 38, no 3 (16 avril 2014) : 354–77. http://dx.doi.org/10.1177/0309133314528944.
Texte intégralMurakami, Daisuke, Mami Kajita et Seiji Kajita. « Scalable Model Selection for Spatial Additive Mixed Modeling : Application to Crime Analysis ». ISPRS International Journal of Geo-Information 9, no 10 (30 septembre 2020) : 577. http://dx.doi.org/10.3390/ijgi9100577.
Texte intégralRyan, Kendra, Andy Danylchuk et Adrian Jordaan. « Is Marine Spatial Planning Enough to Overcome Biological Data Deficiencies ? » Journal of Environmental Assessment Policy and Management 20, no 04 (décembre 2018) : 1850012. http://dx.doi.org/10.1142/s1464333218500126.
Texte intégralYeo, JungYoon, JooBong Jeong et JongKyu Kim. « Spatial Distribution Characteristics of Seagrass Habitat Based on Remote Sensing Data : Focusing on Wan Island ». GEO DATA 4, no 2 (30 juin 2022) : 23–36. http://dx.doi.org/10.22761/dj2022.4.2.003.
Texte intégralTian, Siquan, Yong Chen, Xinjun Chen, Liuxiong Xu et Xiaojie Dai. « Impacts of spatial scales of fisheries and environmental data on catch per unit effort standardisation ». Marine and Freshwater Research 60, no 12 (2009) : 1273. http://dx.doi.org/10.1071/mf09087.
Texte intégralThèses sur le sujet "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.
Texte intégralThis 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.
Texte intégralThis 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
Livres sur le sujet "Spatial Data Focusing"
Majumdar, Satya N. Random growth models. Sous la direction de Gernot Akemann, Jinho Baik et Philippe Di Francesco. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198744191.013.38.
Texte intégralGao, Yanhong, et Deliang Chen. Modeling of Regional Climate over the Tibetan Plateau. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.591.
Texte intégralChapitres de livres sur le sujet "Spatial Data Focusing"
van Nes, Akkelies, et Claudia Yamu. « Empirical Data Collection and Analysis, and Connecting Data with Space Syntax ». Dans 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.
Texte intégralGarcía-Álvarez, David, Javier Lara Hinojosa, Francisco José Jurado Pérez et Jaime Quintero Villaraso. « Global General Land Use Cover Datasets with a Time Series of Maps ». Dans 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.
Texte intégralSmith, Janet L., Zafer Sonmez et Nicholas Zettel. « Growing Income Inequality and Socioeconomic Segregation in the Chicago Region ». Dans The Urban Book Series, 349–69. Cham : Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64569-4_18.
Texte intégralGarcía-Álvarez, David, Javier Lara Hinojosa et Francisco José Jurado Pérez. « Global Thematic Land Use Cover Datasets Characterizing Artificial Covers ». Dans 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.
Texte intégralGarcía-Álvarez, David, Javier Lara Hinojosa et Jaime Quintero Villaraso. « Global General Land Use Cover Datasets with a Single Date ». Dans 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.
Texte intégralMas, Jean-François, David García-Álvarez, Martin Paegelow, Roberto Domínguez-Vera et Miguel Ángel Castillo-Santiago. « Metrics Based on a Cross-Tabulation Matrix to Validate Land Use Cover Maps ». Dans 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.
Texte intégralJia, Menghao, Fanyi Zhang, Xinyi Lyu, Yuncheng Wen et 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 ». Dans Lecture Notes in Civil Engineering, 1589–603. Singapore : Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6138-0_140.
Texte intégralOwen, Gwilym, Yu Chen, Gwilym Pryce, Tim Birabi, Hui Song et Bifeng Wang. « Deprivation Indices in China : Establishing Principles for Application and Interpretation ». Dans The Urban Book Series, 305–27. Cham : Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74544-8_14.
Texte intégralDibble, Catherine. « Beyond Data : Handling Spatial and Analytical Contexts with Genetics-Based Machine Learning ». Dans Spatial Evolutionary Modeling. Oxford University Press, 2001. http://dx.doi.org/10.1093/oso/9780195135688.003.0012.
Texte intégralMonsia, Symphorien, et Sami Faiz. « High-Level Languages for Geospatial Analysis of Big Data ». Dans Interdisciplinary Approaches to Spatial Optimization Issues, 62–81. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-1954-7.ch004.
Texte intégralActes de conférences sur le sujet "Spatial Data Focusing"
Sarrazin, Julien, Michael Odhiambo, Sidney Golstein, Philippe De Doncker et Francois Horlin. « Spatial Data Focusing : An Alternative to Beamforming for Geocasting Scenarios ». Dans 2018 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium). IEEE, 2018. http://dx.doi.org/10.1109/usnc-ursi.2018.8602761.
Texte intégralMolineaux, Guylian, Sidney Golstein, Michael Odhiambo, Francois Horlin, Philippe De Doncker et Julien Sarrazin. « Spatial Data Focusing Using Time and IQ Resources for Wireless Geocasting ». Dans GLOBECOM 2019 - 2019 IEEE Global Communications Conference. IEEE, 2019. http://dx.doi.org/10.1109/globecom38437.2019.9013948.
Texte intégralMolineaux, Guylian, Michael Odhiambo, Francois Horlin, Philippe De Doncker et Julien Sarrazin. « OFDM-based Spatial Data Focusing for High Resolution 2-Dimensional Wireless Geocasting ». Dans 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications. IEEE, 2020. http://dx.doi.org/10.1109/pimrc48278.2020.9217222.
Texte intégralMolineaux, Guylian, François Horlin, Muriel Darces, Philippe De Doncker et Julien Sarrazin. « Frequency Diverse Array Spatial Data Focusing : Free Space and Multipath Experimental Validation ». Dans GLOBECOM 2023 - 2023 IEEE Global Communications Conference. IEEE, 2023. http://dx.doi.org/10.1109/globecom54140.2023.10436781.
Texte intégralBocquet, Michael, Atika Rivenq, Christophe Loyez et Nathalie Rolland. « A focusing technique based on a data spatial diversity at millimetre-wave frequency ». Dans 2014 44th European Microwave Conference (EuMC). IEEE, 2014. http://dx.doi.org/10.1109/eumc.2014.6986584.
Texte intégralMolineaux, Guylian, Francois Horlin, Philippe De Doncker et Julien Sarrazin. « Frequency Diverse Array Spatial Data Focusing for High Precision Range-angle-based Geocasting ». Dans GLOBECOM 2022 - 2022 IEEE Global Communications Conference. IEEE, 2022. http://dx.doi.org/10.1109/globecom48099.2022.10001165.
Texte intégralMuenchausen, R. E., A. R. Garcia, R. A. Keller et N. S. Nogar. « Studies of Gasdynamic Focusing in a Near Critically Choked Expansion ». Dans Laser Applications to Chemical Analysis. Washington, D.C. : Optica Publishing Group, 1987. http://dx.doi.org/10.1364/laca.1987.wa7.
Texte intégralConstantinides, Yiannis, et Owen H. Oakley. « Numerical Simulations of Cylinder VIV Focusing on High Harmonics ». Dans ASME 2009 28th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2009. http://dx.doi.org/10.1115/omae2009-80002.
Texte intégralShin, Junseob, Jean-Luc Robert, Can Meral, Iason Apostolakis, Man Nguyen et Jason Yu. « K-space domain spatial filtering for retrospective transmit beam focusing/shaping and per-element data estimation from arrays with microbeamforming ». Dans 2022 IEEE International Ultrasonics Symposium (IUS). IEEE, 2022. http://dx.doi.org/10.1109/ius54386.2022.9957563.
Texte intégralImitazione, G., F. Zolezzi, A. Murianni, F. Giovacchini et M. Miola. « 3D Ground Model : An Alternative Approach for the Treatment of Heterogeneously Distributed Spatial Data ». Dans Offshore Technology Conference. OTC, 2024. http://dx.doi.org/10.4043/35265-ms.
Texte intégralRapports d'organisations sur le sujet "Spatial Data Focusing"
Aguilar, G., H. Waqa-Sakiti et 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, décembre 2016. http://dx.doi.org/10.34074/book.008.
Texte intégralWalker, Samantha, Tomoko McGaughey et 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.
Texte intégralBoyle, Maxwell, et Elizabeth Rico. Terrestrial vegetation monitoring at Fort Pulaski National Monument : 2019 data summary. National Park Service, décembre 2021. http://dx.doi.org/10.36967/nrds-2288716.
Texte intégralMushongera, Darlington, Prudence Kwenda et 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.
Texte intégralLand Conflicts in India : An Interim Analysis. Rights and Resources Initiative, novembre 2016. http://dx.doi.org/10.53892/dogb3075.
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