Literatura científica selecionada sobre o tema "Spatial Data Focusing"
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Artigos de revistas sobre o assunto "Spatial Data Focusing"
Guaragnella, Cataldo, e Tiziana D’Orazio. "A Data-Driven Approach to SAR Data-Focusing". Sensors 19, n.º 7 (6 de abril de 2019): 1649. http://dx.doi.org/10.3390/s19071649.
Texto completo da fonteTAKAHASHI, KAZUKO, e TAKAO SUMITOMO. "THE QUALITATIVE TREATMENT OF SPATIAL DATA". International Journal on Artificial Intelligence Tools 16, n.º 04 (agosto de 2007): 661–82. http://dx.doi.org/10.1142/s0218213007003497.
Texto completo da fonteKoh, Keumseok, Ayaz Hyder, Yogita Karale e 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, n.º 13 (23 de junho de 2022): 2996. http://dx.doi.org/10.3390/rs14132996.
Texto completo da fonteCsomós, György. "On the challenges ahead of spatial scientometrics focusing on the city level". Aslib Journal of Information Management 72, n.º 1 (20 de novembro de 2019): 67–87. http://dx.doi.org/10.1108/ajim-06-2019-0152.
Texto completo da fonteFurman, Alex, Ty P. Ferré e Gail L. Heath. "Spatial focusing of electrical resistivity surveys considering geologic and hydrologic layering". GEOPHYSICS 72, n.º 2 (março de 2007): F65—F73. http://dx.doi.org/10.1190/1.2433737.
Texto completo da fonteFeuillet, Thierry, Julien Coquin, Denis Mercier, Etienne Cossart, Armelle Decaulne, Helgi Páll Jónsson e þorsteinn Sæmundsson. "Focusing on the spatial non-stationarity of landslide predisposing factors in northern Iceland". Progress in Physical Geography: Earth and Environment 38, n.º 3 (16 de abril de 2014): 354–77. http://dx.doi.org/10.1177/0309133314528944.
Texto completo da fonteMurakami, Daisuke, Mami Kajita e Seiji Kajita. "Scalable Model Selection for Spatial Additive Mixed Modeling: Application to Crime Analysis". ISPRS International Journal of Geo-Information 9, n.º 10 (30 de setembro de 2020): 577. http://dx.doi.org/10.3390/ijgi9100577.
Texto completo da fonteRyan, Kendra, Andy Danylchuk e Adrian Jordaan. "Is Marine Spatial Planning Enough to Overcome Biological Data Deficiencies?" Journal of Environmental Assessment Policy and Management 20, n.º 04 (dezembro de 2018): 1850012. http://dx.doi.org/10.1142/s1464333218500126.
Texto completo da fonteYeo, JungYoon, JooBong Jeong e JongKyu Kim. "Spatial Distribution Characteristics of Seagrass Habitat Based on Remote Sensing Data: Focusing on Wan Island". GEO DATA 4, n.º 2 (30 de junho de 2022): 23–36. http://dx.doi.org/10.22761/dj2022.4.2.003.
Texto completo da fonteTian, Siquan, Yong Chen, Xinjun Chen, Liuxiong Xu e Xiaojie Dai. "Impacts of spatial scales of fisheries and environmental data on catch per unit effort standardisation". Marine and Freshwater Research 60, n.º 12 (2009): 1273. http://dx.doi.org/10.1071/mf09087.
Texto completo da fonteTeses / dissertações sobre o assunto "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.
Texto completo da fonteThis 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.
Texto completo da fonteThis 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
Livros sobre o assunto "Spatial Data Focusing"
Majumdar, Satya N. Random growth models. Editado por Gernot Akemann, Jinho Baik e Philippe Di Francesco. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198744191.013.38.
Texto completo da fonteGao, Yanhong, e Deliang Chen. Modeling of Regional Climate over the Tibetan Plateau. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.591.
Texto completo da fonteCapítulos de livros sobre o assunto "Spatial Data Focusing"
van Nes, Akkelies, e 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.
Texto completo da fonteGarcía-Álvarez, David, Javier Lara Hinojosa, Francisco José Jurado Pérez e 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.
Texto completo da fonteSmith, Janet L., Zafer Sonmez e 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.
Texto completo da fonteGarcía-Álvarez, David, Javier Lara Hinojosa e 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.
Texto completo da fonteGarcía-Álvarez, David, Javier Lara Hinojosa e 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.
Texto completo da fonteMas, Jean-François, David García-Álvarez, Martin Paegelow, Roberto Domínguez-Vera e 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.
Texto completo da fonteJia, Menghao, Fanyi Zhang, Xinyi Lyu, Yuncheng Wen e 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.
Texto completo da fonteOwen, Gwilym, Yu Chen, Gwilym Pryce, Tim Birabi, Hui Song e 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.
Texto completo da fonteDibble, 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.
Texto completo da fonteMonsia, Symphorien, e 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.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Spatial Data Focusing"
Sarrazin, Julien, Michael Odhiambo, Sidney Golstein, Philippe De Doncker e 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.
Texto completo da fonteMolineaux, Guylian, Sidney Golstein, Michael Odhiambo, Francois Horlin, Philippe De Doncker e 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.
Texto completo da fonteMolineaux, Guylian, Michael Odhiambo, Francois Horlin, Philippe De Doncker e 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.
Texto completo da fonteMolineaux, Guylian, François Horlin, Muriel Darces, Philippe De Doncker e 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.
Texto completo da fonteBocquet, Michael, Atika Rivenq, Christophe Loyez e 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.
Texto completo da fonteMolineaux, Guylian, Francois Horlin, Philippe De Doncker e 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.
Texto completo da fonteMuenchausen, R. E., A. R. Garcia, R. A. Keller e 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.
Texto completo da fonteConstantinides, Yiannis, e 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.
Texto completo da fonteShin, Junseob, Jean-Luc Robert, Can Meral, Iason Apostolakis, Man Nguyen e 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.
Texto completo da fonteImitazione, G., F. Zolezzi, A. Murianni, F. Giovacchini e 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.
Texto completo da fonteRelatórios de organizações sobre o assunto "Spatial Data Focusing"
Aguilar, G., H. Waqa-Sakiti e 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, dezembro de 2016. http://dx.doi.org/10.34074/book.008.
Texto completo da fonteWalker, Samantha, Tomoko McGaughey e 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.
Texto completo da fonteBoyle, Maxwell, e Elizabeth Rico. Terrestrial vegetation monitoring at Fort Pulaski National Monument: 2019 data summary. National Park Service, dezembro de 2021. http://dx.doi.org/10.36967/nrds-2288716.
Texto completo da fonteMushongera, Darlington, Prudence Kwenda e 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.
Texto completo da fonteLand Conflicts in India: An Interim Analysis. Rights and Resources Initiative, novembro de 2016. http://dx.doi.org/10.53892/dogb3075.
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