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Добірка наукової літератури з теми "Spatio-Temporal properties"

Автор: Grafiati
Опубліковано: 7 липня 2024

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Зміст

  1. Статті в журналах
  2. Дисертації
  3. Книги
  4. Частини книг
  5. Тези доповідей конференцій

Статті в журналах з теми "Spatio-Temporal properties":

1

Chung, Susana T. L. "Spatio-temporal properties of letter crowding." Journal of Vision 16, no. 6 (April 18, 2016): 8. http://dx.doi.org/10.1167/16.6.8.

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2

Rokszin, Alice, Zita Márkus, Gábor Braunitzer, Antal Berényi, Marek Wypych, Wioletta Waleszczyk, György Benedek, and Attila Nagy. "Spatio-temporal visual properties in the ascending tectofugal system." Open Life Sciences 5, no. 1 (February 1, 2010): 21–30. http://dx.doi.org/10.2478/s11535-009-0065-6.

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AbstractOur study compares the spatio-temporal visual receptive field properties of different subcortical stages of the ascending tectofugal visual system. Extracellular single-cell recordings were performed in the superficial (SCs) and intermediate (SCi) layers of the superior colliculus (SC), the suprageniculate nucleus (Sg) of the posterior thalamus and the caudate nucleus (CN) of halothane-anesthetized cats. Neuronal responses to drifting gratings of various spatial and temporal frequencies were recorded. The neurons of each structure responded optimally to low spatial and high temporal frequencies and displayed narrow spatial and temporal frequency tuning. The detailed statistical analysis revealed that according to its stimulus preferences the SCs has markedly different spatio-temporal properties from the homogeneous group formed by the SCi, Sg and CN. The SCs neurons preferred higher spatial and lower temporal frequencies and had broader spatial tuning than the other structures. In contrast to the SCs the visually active SCi, as well as the Sg and the CN neurons possessed consequently similar spatio-temporal preferences. These data support our hypothesis that the visually active SCi, Sg and CN neurons form a homogeneous neuronal population given a similar spatio-temporal frequency preference and a common function in processing of dynamic visual information.
3

Nameda, Naoyoshi, and Hitoshi Ohzu. "Spatio-temporal Frequency Properties according to Ages." JOURNAL OF THE ILLUMINATING ENGINEERING INSTITUTE OF JAPAN 70, Appendix (1986): 77. http://dx.doi.org/10.2150/jieij1980.70.appendix_77.

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4

Campbell, Keith. "Unit Properties, Relations, and Spatio-Temporal Naturalism." Modern Schoolman 79, no. 2 (2002): 151–62. http://dx.doi.org/10.5840/schoolman2002792/39.

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5

Baek, Seung-Hwan, and Felix Heide. "Polarimetric spatio-temporal light transport probing." ACM Transactions on Graphics 40, no. 6 (December 2021): 1–18. http://dx.doi.org/10.1145/3478513.3480517.

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Light emitted from a source into a scene can undergo complex interactions with multiple scene surfaces of different material types before being reflected towards a detector. During this transport, every surface reflection and propagation is encoded in the properties of the photons that ultimately reach the detector, including travel time, direction, intensity, wavelength and polarization. Conventional imaging systems capture intensity by integrating over all other dimensions of the incident light into a single quantity, hiding this rich scene information in these aggregate measurements. Existing methods are capable of untangling these measurements into their spatial and temporal dimensions, fueling geometric scene understanding tasks. However, examining polarimetric material properties jointly with geometric properties is an open challenge that could enable unprecedented capabilities beyond geometric scene understanding, allowing for material-dependent scene understanding and imaging through complex transport, such as macroscopic scattering. In this work, we close this gap, and propose a computational light transport imaging method that captures the spatially- and temporally-resolved complete polarimetric response of a scene, which encodes rich material properties. Our method hinges on a novel 7D tensor theory of light transport. We discover low-rank structure in the polarimetric tensor dimension and propose a data-driven rotating ellipsometry method that learns to exploit redundancy of polarimetric structure. We instantiate our theory with two imaging prototypes: spatio-polarimetric imaging and coaxial temporal-polarimetric imaging. This allows us, for the first time, to decompose scene light transport into temporal, spatial, and complete polarimetric dimensions that unveil scene properties hidden to conventional methods. We validate the applicability of our method on diverse tasks, including shape reconstruction with subsurface scattering, seeing through scattering media, untangling multi-bounce light transport, breaking metamerism with polarization, and spatio-polarimetric decomposition of crystals.
6

Rodríguez Berrio, Juan F., Francisco J. Rodríguez-Cortes, Jorge Mateu, and Giada Adelfio. "On Some Statistical Properties of the Spatio-Temporal Product Density." Revista Colombiana de Estadística 44, no. 1 (January 15, 2021): 23–42. http://dx.doi.org/10.15446/rce.v44n1.84779.

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We present an extension of the non-parametric edge-corrected Ohser-type kernel estimator for the spatio-temporal product density function. We derive the mean and variance of the estimator and give a closed-form approximation for a spatio-temporal Poisson point process. Asymptotic properties of this second-order characteristic are derived, using an approach based on martingale theory. Taking advantage of the convergence to normality, confidence surfaces under the homogeneous Poisson process are built. A simulation study is presented to compare our approximation for the variance with Monte Carlo estimated values. Finally, we apply the resulting estimator and its properties to analyse the spatio-temporal distribution of the invasive meningococcal disease in the Rhineland Regional Council in Germany.
7

Zhang, Zijian, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, and Junbo Zhang. "AutoSTL: Automated Spatio-Temporal Multi-Task Learning." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 4 (June 26, 2023): 4902–10. http://dx.doi.org/10.1609/aaai.v37i4.25616.

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Spatio-temporal prediction plays a critical role in smart city construction. Jointly modeling multiple spatio-temporal tasks can further promote an intelligent city life by integrating their inseparable relationship. However, existing studies fail to address this joint learning problem well, which generally solve tasks individually or a fixed task combination. The challenges lie in the tangled relation between different properties, the demand for supporting flexible combinations of tasks and the complex spatio-temporal dependency. To cope with the problems above, we propose an Automated Spatio-Temporal multi-task Learning (AutoSTL) method to handle multiple spatio-temporal tasks jointly. Firstly, we propose a scalable architecture consisting of advanced spatio-temporal operations to exploit the complicated dependency. Shared modules and feature fusion mechanism are incorporated to further capture the intrinsic relationship between tasks. Furthermore, our model automatically allocates the operations and fusion weight. Extensive experiments on benchmark datasets verified that our model achieves state-of-the-art performance. As we can know, AutoSTL is the first automated spatio-temporal multi-task learning method.
8

Steadman, Liam, Nathan Griffiths, Stephen Jarvis, Mark Bell, Shaun Helman, and Caroline Wallbank. "k D-STR: A Method for Spatio-Temporal Data Reduction and Modelling." ACM/IMS Transactions on Data Science 2, no. 3 (May 17, 2021): 1–31. http://dx.doi.org/10.1145/3439334.

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Analysing and learning from spatio-temporal datasets is an important process in many domains, including transportation, healthcare and meteorology. In particular, data collected by sensors in the environment allows us to understand and model the processes acting within the environment. Recently, the volume of spatio-temporal data collected has increased significantly, presenting several challenges for data scientists. Methods are therefore needed to reduce the quantity of data that needs to be processed in order to analyse and learn from spatio-temporal datasets. In this article, we present the - Dimensional Spatio-Temporal Reduction method ( D-STR ) for reducing the quantity of data used to store a dataset whilst enabling multiple types of analysis on the reduced dataset. D-STR uses hierarchical partitioning to find spatio-temporal regions of similar instances, and models the instances within each region to summarise the dataset. We demonstrate the generality of D-STR with three datasets exhibiting different spatio-temporal characteristics and present results for a range of data modelling techniques. Finally, we compare D-STR with other techniques for reducing the volume of spatio-temporal data. Our results demonstrate that D-STR is effective in reducing spatio-temporal data and generalises to datasets that exhibit different properties.
9

Huang, Huang, and Ying Sun. "Visualization and assessment of spatio-temporal covariance properties." Spatial Statistics 34 (December 2019): 100272. http://dx.doi.org/10.1016/j.spasta.2017.11.004.

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10

Liu, Liang, Bin Chen, Wangchun Jiang, Lingnan He, and Xiaogang Qiu. "Spatio-temporal dynamics of web pages diffused in WeChat." Information Discovery and Delivery 45, no. 3 (August 21, 2017): 139–48. http://dx.doi.org/10.1108/idd-05-2017-0044.

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Purpose WeChat is the largest acquaintance social networking platform in China, in which users can view and reshare web pages shared by friends. This paper aims to analyze the spatio-temporal dynamics of web pages diffused in WeChat and advice on commercials. Design/methodology/approach A large number of web pages diffused in WeChat are collected and exclusively divided into four categories according to their titles, including advertisements, news bulletins, holiday greetings and emotional essays. For each web page, an information cascade (tree structure) is constructed to describe the diffusion trace. Based on the categories, the spatio-temporal popularity is characterized; the topological, temporal and spatial properties are examined; and the spatio-temporal diffusion velocity is explored. Findings Through comparative analysis, different categories of pages show diversity. For spatio-temporal popularity, there is no significant difference in cascade size; holiday greetings usually last for a relatively short time on average; emotional essays are more likely to spread to more provinces. For topological, temporal and spatial characteristics, the diffusion process of advertisements is more likely to be broadcasting than other categories; news bulletins and holiday greetings have an obvious bursty; the number of viewing behavior decreases from east to west in general. For spatio-temporal diffusion velocity, emotional essays diffuse the fastest in topological and spatio-temporal dimensions. Originality/value These findings contribute to promoting products and providing support for data driven modeling of information diffusion and human activity in spatio-temporal dimensions.
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Статті в журналах

Дисертації з теми "Spatio-Temporal properties":

1

Choi, Janghwoan. "Study on spatio-temporal properties of rainfall." Texas A&M University, 2006. http://hdl.handle.net/1969.1/4815.

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This dissertation describes spatio-temporal properties of rainfall. Rainfall in space was modeled by a precipitation areal reduction factor (ARF) using a NEXRAD image. The storms are represented as ellipses, which are determined by maximizing the volume of rainfall. The study investigated 18,531 storms of different durations that took place in different seasons and regions of Texas. Statistical analysis was carried out to find a relationship between ARFs and predictor variables (storm duration, area, season, region, and precipitation depth). The stochastic model for temporal disaggregation of rainfall data was evaluated across Texas. The hourly historic data from the selected 531 hourly gauges in Texas were used to evaluate the model’s performance to reproduce hourly rainfall statistics. Spatial trends in performance statistics or spatial patterns among gauge characteristics (e.g. period of record, precipitation statistics) were examined by cluster analysis. Since no spatial trends or patterns were identified, the state database is used and verified for a selection of gauges. The method was further applied to estimate intensity-duration curves for hydrologic applications. To obtain basic information on the spatial and dynamic patterns of rainfall over an area, it is necessary to identify and track a storm objectively. Automated algorithms are needed to process a large amount of radar images. A methodology was presented to overcome the identification and tracking difficulties of one-hour accumulated distributed rainfall data and to extract the characteristics of moving storms (e.g., size, intensity, orientation, propagation speed and direction, etc.). The method presented in this dissertation allows the user to better understand the precipitation patterns in any given area of the United States, and yields parameters that describe storm dynamic characteristics. These parameters can then be used in the definition of synthetic dynamic storms for hydrologic modeling.
2

Kondo, Hanae. "Spatio-temporal properties of membrane-localized actin nucleating complexes." Thesis, University of Cambridge, 2019. https://www.repository.cam.ac.uk/handle/1810/289704.

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The actin cytoskeleton plays a vital role in various biological processes such as cell migration, morphogenesis, and intracellular trafficking. The polymerization of actin filaments at membranes provides the force for generating dynamic actin structures such as protrusions and invaginations that drive these processes. In filopodia, which are finger-like protrusions comprised of bundled actin filaments, actin regulatory proteins are believed to assemble a distal 'tip complex' which stimulates actin nucleation at the membrane. However how these regulators collectively behave in a macromolecular complex still remains poorly understood. To understand the macromolecular nature of these complexes, I investigated the dynamic properties and spatial organization of actin regulatory factors, using an in vitro reconstitution assay for filopodia-like structures (FLS) utilizing artificial lipid bilayers and Xenopus laevis egg extracts. FRAP analysis of seven actin regulatory factors (Toca-1, N-WASP, GTPase-binding domain, Ena, VASP, Diaph3, Fascin) revealed that the FLS tip complex has both dynamic and stable properties, with different proteins displaying distinct dynamics. Further analyses on the membrane-binding protein Toca-1 showed that its dynamic turnover is controlled by interactions with actin and exchange of molecules with solution. Single-molecule localization microscopy resolved the nanoscale organization of Toca-1, showing its arrangement into flat plaque-like and narrowly elevated tubular substructures. Plaque-like structures showed similarities to phase-transition patterns, while tubule-like structures closely resembled those previously found to decorate membrane tubules in vitro, which are thought to be involved in endocytic membrane remodeling. Endocytic accessory proteins such as SNX9 and Dynamin2 were also found to localize to FLS tips. This work provides new insights into the dynamics and organization of protein ensembles at actin nucleation sites, and proposes a novel link between endocytosis and filopodia formation, which is relevant to understanding how cells decide when and where to assemble actin at the membrane.
3

Soale, Abdul-Nasah. "Spatio-Temporal Analysis of Point Patterns." Digital Commons @ East Tennessee State University, 2016. https://dc.etsu.edu/etd/3120.

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In this thesis, the basic tools of spatial statistics and time series analysis are applied to the case study of the earthquakes in a certain geographical region and time frame. Then some of the existing methods for joint analysis of time and space are described and applied. Finally, additional research questions about the spatial-temporal distribution of the earthquakes are posed and explored using statistical plots and models. The focus in the last section is in the relationship between number of events per year and maximum magnitude and its effect on how clustered the spatial distribution is and the relationship between distances in time and space in between consecutive events as well as the distribution of the distances.
4

Shariat, Sara. "The spatio-temporal properties of Twitter users during the Sandy Hurricane." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-252092.

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The wide-scale deployment of networked communication and sensing devices, e.g. phones and tablets, provides a previously unimaginable amount of information about people's environment and movements. These devices often have access to high accuracy localization technology, such as GPS and Wi-Fi/cell tower localization. Users of these devices also frequently participate in global social networks, for instance Twitter, Facebook and Google+. The information obtained from social media in a catastrophic event is unique and cannot be found anywhere else in the information space, they may even have the geographical knowledge of the influenced areas, which can be high importance for those outside of the area. This role is highlighted in the occurrence of hurricane sandy on 2012. Geo- tagged social media messages expose user’s locations and subsequent movements, providing near-instantaneous data about how people are responding to a disaster event. The need for up-to- date information is paramount for the authorities so they can organize the most efficacious response. They need to know what issues are affecting people on the ground, where people are located and whether they can/will evacuate. This project will analyze gigabytes of data collected during the Sandy Hurricane of 2012 on the American East Coast. Millions of geo-tagged tweets from hundreds of thousands of users were collected and offer a unique insight into how Twitter activity increased during the hurricane in the area of the event and the movement pattern of the people changed during the hurricane. These reactions and movements of people during the Hurricane Sandy help the process of evaluation so responders can have a more robust situational awareness of the disaster.
5

Coughlan, Matthew Anthony. "Controlling Light-Matter Interactions and Spatio-Temporal Properties of Ultrashort Laser Pulses." Diss., Temple University Libraries, 2012. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/186215.

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Chemistry
Ph.D.
The SPECIFIC method a fast and accurate method for generating shaped femtosecond laser pulses. The femtosecond pulses are user specified from pulse parameters in the temporal domain. The measured spectral and recovered temporal phase and amplitudes from SEA TADPOLE are compared with the theoretical pulse profile from the user specified input. The SPECIFIC method has been shown to be a technique that can generate a diverse array of spectral/temporal phase and amplitude as well as polarization pulse shapes for numerous scientific applications. The spatio -temporal -spectral properties of focusing femtosecond laser pulses are studied for several pulse shapes that are important for non-linear spectroscopic studies. We have shown with scanning SEA TADPOLE that the spatio-spectral phase of focusing double pulse profile changes across the laterally across the beam profile. The spectral features of the sinusoidal spectral phase shaped pulse has been shown to tilt at with a changing angle away from the focus of the lens. Using spatio-spectral coupling, we have shown that multiple spatio-temporal foci can be generated along and perpendicular to the focusing direction of a femtosecond laser pulse. The spatial position of the spatio-temporal foci is controlled optically. Using sinusoidal spectral phase modulated pulse trains fragment ion production from Benzonitrile parent molecule can be controlled. A spectral transmission window perturbed the temporal pulse amplitudes resulting in fragment ion production dependant on spectral window position. The spectral window ion production was shown to also be dependant on temporal phase sequence.
Temple University--Theses
6

Palaios, Alexandros [Verfasser], Petri Heikki Akademischer Betreuer] Mähönen, and Gerd [Akademischer Betreuer] [Ascheid. "Empirical spatio-temporal characterization of radio environment properties / Alexandros Palaios ; Petri Heikki Mähönen, Gerd Ascheid." Aachen : Universitätsbibliothek der RWTH Aachen, 2017. http://d-nb.info/1169915124/34.

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7

Trivej, Panu. "Spatio-temporal properties of shallow clouds with an emphasis on the area distribution of radar echoes." Diss., Restricted to subscribing institutions, 2009. http://proquest.umi.com/pqdweb?did=1872176351&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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8

Fournier, Séverine. "Spatio-temporal coherence between spaceborne measurements of salinity and optical properties in the Amazon-Orinoco Plume Region." Thesis, Brest, 2014. http://www.theses.fr/2014BRES0071/document.

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Avec les lancements réussis des missions ESA Soil Moisture and Ocean Salinity (SMOS) et NASA Aquarius/SAC-D, la salinité de surface des océans peut maintenant être déduite. De plus, les produits de couleur de l'eau, tels que les mesures d'absorption et d'atténuation de la lumière et de concentration en chlorophylle, peuvent être utilisés comme traceurs de la salinité. Les signatures des panaches des grands fleuves tropicaux tels que l'Amazone et l'Orénoque peuvent être étudiées en détail grâce à ces nouvelles méthodes. En particulier, les relations de corrélations entre SSS et propriétés optiques également déduites de mesures satellites peuvent maintenant être établies et analysées sur des échelles spatiales beaucoup plus grandes. Différents efforts de recherche sont envisagés dans le cadre de ce travail de thèse. Tout d'abord, nous étudions les corrélations entre salinité de surface et propriétés optiques dans le panache de l'Amazone durant la période 2010-2013. Ensuite, la relation de mélange est établie de façon robuste selon tout d'abord une approche régionale, puis selon une approche locale. Ensuite, une fois cette loi de dilution établie de façon robuste, nous l'utilisons pour estimer un produit de salinité de surface à partir des produits couleur de l'eau sur la période 1998-2013. Enfin, nous tentons d'envisager la relation de dilution suivant une approche lagrangienne
We enter now in a new era of global Sea Surface Salinity (SSS) observing systems from Space with therecent successful launches of the ESA Soil Moisture and Ocean Salinity (SMOS) mission and the NASA Aquarius/SAC-D mission. These new satellite SSS observing systems are as well complemented by an increased number of devices deployed in situ. Finally, ocean color products can be used as well for tracking salinity via semi-conservative tracers such as dissolved organic matter absorption coefficient at 443 nm(acdm), light attenuation at 490 nm and chlorophyll concentration. With these new methods, we are now in an excellent position to revisit the SSS observed in the warm seas of the tropical Atlantic with multi-yeartime series of excellent remote sensing and concurrent in situ observations. The seasonal cycles in the spatial extent of low surface salinity waters of the major river plumes and freshwater pools of the tropical Atlantic oceans as the Amazon and Orinoco rivers can thus be analyzed in a new and original manner. In particular, the correlation between SSS and bio-optical properties measured from Space in the plume waters can now beestablished and analyzed over large spatial scales. In the frame of this PhD work, different major research topics were studied. First the correlations between sea surface salinity and absorption coefficient of colored detrital matter at 443 nm in the Amazon-Orinoco plume over 2010-2013 are studied. Then the conservative mixing relationship is robustely established based on two different approaches, a regional one over the whole Amazon plume and a local one. Once the SSS/acdm relationship established, it is used to retrieve a SSSproduct from 1998 to 2013 based on Ocean Color data. Finally, we attempt to explore the conservative mixing using a lagrangian approach
9

Federico, Maxime. "Spatio-temporal description of single photons : from cavity production to local detection." Electronic Thesis or Diss., Bourgogne Franche-Comté, 2024. http://www.theses.fr/2024UBFCK013.

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Ce travail fournit une analyse des propriétés spatio-temporelles d'états à un photon. En commençant par une quantification directement réalisée en espace position, nous démontrons que deux formulations différentes de la théorie sont équivalentes : elles prédisent les mêmes résultats. L'équivalence est formulée sous forme d'un isomorphisme de leurs espaces de Hilbert respectifs. On utilise par la suite cette construction en espace position pour étudier la propagation des photons décrit par des impulsions. Nous démontrons que la dynamique de n'importe quel état du champ électromagnétique quantique est alors donnée par l'évolution temporelle de la représentation de l'état, telle que décrite par les équations de Maxwell classiques. Nous construisons également un modèle de détection locale de photons en utilisant l'opérateur densité d'énergie. Ce modèle nous permet de démontrer la non localité de tout état à un photon grâce à la propriété d'antilocalité de l'opérateur fréquence Ω=c(-Δ)^{1/2}. Nous caractérisons ensuite cette non localité pour un état à un photon produit par l'émission spontanée d'un atome d'Hydrogène et montrons que la décroissance de sa densité d'énergie se comporte asymptotiquement comme pour des distances r loin de l'atome. Enfin, nous nous interessons à la production de photons en cavités pour laquelle nous démontrons au travers d'un argument topologique que, dans la limite adiabatique, l'approximation de l'onde tournante (rotating wave approximation) est justifiée et permet donc la production de photons très proches de photons uniques parfaits. Nous construisons aussi, comme résultat préliminaire, un modèle heuristique utilisant des modes quasinormaux pour décrire la procution de photons dans des cavités ouvertes
This work provides an analysis of spatio-temporal properties of single-photon states. Starting with a direct quantization in position space representation, we show that two different formulations are equivalent, i.e., they give the same quantum theory. The equivalence is formulated in terms of isomorphisms of their respective Hilbert space of states. We then use this construction in position space to study the propagation of photons in terms of pulses and we show that the dynamics of any state of the quantum electromagnetic field is given by the classical Maxwell equations for the classical pulse onto which the photons are defined. We also construct a model for local detection of photons using the energy density operator. This model allows us to show the nonlocality of all single-photon states using the anti-local property of the frequency operator Ω=c(-Δ)^{1/2}. We then characterize this nonlocal property for a single-photon state spontaneously emitted by a Hydrogen atom and we show a radial decay of its energy density of 1/r^6 in the asymptotic limit of large distances r from the atom. Finally, we consider the production of photons in cavities where we show through topological arguments that in the adiabatic limit, the rotating wave approximation is justified and thus the photons produced with these techniques can be very close to perfect single photons. We also construct as a preliminary result a heuristic model using quasinormal modes to describe the production of photons inside leaky cavities
10

Faubert, Jocelyn. "Retino-geniculate pathways and the spatio-temporal properties of the human visual system in normal, aging, and glaucomatous vision." Thesis, 1991. http://spectrum.library.concordia.ca/4120/1/NN64635.pdf.

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Книги з теми "Spatio-Temporal properties":

1

Sherman, Michael. Spatial statistics and spatio-temporal data: Covariance functions and directional properties. Chichester, West Sussex, U.K: Wiley, 2011.

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2

Sherman, Michael. Spatial Statistics and Spatio-Temporal Data: Covariance Functions and Directional Properties. Wiley & Sons, Incorporated, John, 2011.

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3

Sherman, Michael. Spatial Statistics and Spatio-Temporal Data: Covariance Functions and Directional Properties. Wiley & Sons, Incorporated, John, 2011.

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4

Sherman, Michael. Spatial Statistics and Spatio-Temporal Data: Covariance Functions and Directional Properties. Wiley & Sons, Incorporated, John, 2010.

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5

Sherman, Michael. Spatial Statistics and Spatio-Temporal Data: Covariance Functions and Directional Properties. Wiley & Sons, Limited, John, 2010.

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6

Gentili, Stefania, Rita Di Giovambattista, Robert Shcherbakov, and Filippos Vallianatos, eds. Statistics and Pattern Recognition Applied to the Spatio-Temporal Properties of Seismicity. MDPI, 2022. http://dx.doi.org/10.3390/books978-3-0365-4264-5.

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DiFrisco, James. Biological Processes. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198779636.003.0004.

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Анотація:
This chapter investigates the identity and persistence conditions for processes as a task of biological process ontology. It argues that the problem of intrinsic variation in evolution, development, and metabolism motivates viewing biological individuals as processes rather than as substances. Different criteria of identity for processes are then evaluated, including causal and spatio-temporal relations. The chapter ultimately settles on the view that processes are individuated by causal cohesion and are identical if they share the same cohesive properties and spatio-temporal region. The persistence of processes is interpreted on the model of perdurance, as a form of causal continuity or genidentity.

Частини книг з теми "Spatio-Temporal properties":

1

Sepulchre, J. A., and A. Babloyantz. "Spatio-temporal Patterns and Network Computation." In Self-Organization, Emerging Properties, and Learning, 1–19. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3778-6_1.

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2

Nenzi, Laura, Ezio Bartocci, Luca Bortolussi, Michele Loreti, and Ennio Visconti. "Monitoring Spatio-Temporal Properties (Invited Tutorial)." In Runtime Verification, 21–46. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60508-7_2.

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Mutabazi, Innocent, and José Eduardo Wesfreid. "Spatio-Temporal Properties of Centrifugal Instabilities." In Instabilities and Nonequilibrium Structures III, 201–16. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3442-2_18.

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4

Dylla, Frank, Till Mossakowski, Thomas Schneider, and Diedrich Wolter. "Algebraic Properties of Qualitative Spatio-temporal Calculi." In Spatial Information Theory, 516–36. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01790-7_28.

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Luisa Vissat, Ludovica, Michele Loreti, Laura Nenzi, Jane Hillston, and Glenn Marion. "Three-Valued Spatio-Temporal Logic: A Further Analysis on Spatio-Temporal Properties of Stochastic Systems." In Quantitative Evaluation of Systems, 317–32. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66335-7_22.

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Nenzi, Laura, Luca Bortolussi, Vincenzo Ciancia, Michele Loreti, and Mieke Massink. "Qualitative and Quantitative Monitoring of Spatio-Temporal Properties." In Runtime Verification, 21–37. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23820-3_2.

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Bartocci, Ezio, Luca Bortolussi, Michele Loreti, Laura Nenzi, and Simone Silvetti. "MoonLight: A Lightweight Tool for Monitoring Spatio-Temporal Properties." In Runtime Verification, 417–28. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60508-7_23.

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Valdivia, Juan A., D. Vassiliadis, A. Klimas, and A. S. Sharma. "The Electrojet Currents: Understanding Their Spatio-Temporal Multivariate Properties." In Substorms-4, 669–72. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-4798-9_138.

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Matos Pedro, André de, Tomás Silva, Tiago Sequeira, João Lourenço, João Costa Seco, and Carla Ferreira. "Monitoring of Spatio-Temporal Properties with Nonlinear SAT Solvers." In Formal Methods for Industrial Critical Systems, 155–71. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15008-1_11.

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Mohammadinejad, Sara, Jyotirmoy V. Deshmukh, and Laura Nenzi. "Mining Interpretable Spatio-Temporal Logic Properties for Spatially Distributed Systems." In Automated Technology for Verification and Analysis, 91–107. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88885-5_7.

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Тези доповідей конференцій з теми "Spatio-Temporal properties":

1

Ghosh, Joyee, G. Molina-Terriza, N. Piro, L. Dubreuil, J. P. Torres, and J. Eschner. "Twin photon source: spatio-temporal properties." In SPIE Optical Engineering + Applications, edited by Ronald E. Meyers, Yanhua Shih, and Keith S. Deacon. SPIE, 2015. http://dx.doi.org/10.1117/12.2192087.

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Patera, Giuseppe, and Mikhail I. Kolobov. "Spatio-temporal properties of multipartite entanglement." In SPIE Photonics Europe, edited by Victor N. Zadkov and Thomas Durt. SPIE, 2010. http://dx.doi.org/10.1117/12.853777.

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Ghosh, Joyee, Gabriel M. Terriza, Nicolas Piro, Juan P. Torres, and Juergen Eschner. "Spatio-temporal Properties of Entangled Photon Pairs." In International Conference on Fibre Optics and Photonics. Washington, D.C.: OSA, 2014. http://dx.doi.org/10.1364/photonics.2014.t3a.81.

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Audrito, Giorgio, and Gianluca Torta. "Towards aggregate monitoring of spatio-temporal properties." In ISSTA '21: 30th ACM SIGSOFT International Symposium on Software Testing and Analysis. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3464974.3468448.

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Sukhorukov, A. P., and V. V. Yangirova. "Spatio-temporal vortices: properties, generation and recording." In Congress on Optics and Optoelectronics, edited by Miroslaw A. Karpierz, Allan D. Boardman, and George I. Stegeman. SPIE, 2005. http://dx.doi.org/10.1117/12.623906.

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Nenzi, Laura, Luca Bortolussi, and Michele Loreti. "jSSTL - A Tool to Monitor Spatio-Temporal Properties." In 10th EAI International Conference on Performance Evaluation Methodologies and Tools. ACM, 2017. http://dx.doi.org/10.4108/eai.25-10-2016.2266978.

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Shao, Zhucheng, Jing Liu, Zuohua Ding, Mingsong Chen, and Ningkang Jiang. "Spatio-temporal Properties Analysis for Cyber-physical Systems." In 2013 18th International Conference on Engineering of Complex Computer Systems (ICECCS). IEEE, 2013. http://dx.doi.org/10.1109/iceccs.2013.23.

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Ciancia, Vincenzo, Diego Latella, Mieke Massink, and Rytis Pakauskas. "Exploring Spatio-temporal Properties of Bike-Sharing Systems." In 2015 IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops (SASOW). IEEE, 2015. http://dx.doi.org/10.1109/sasow.2015.17.

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Zhang, Lichen. "Specifying Spatio-Temporal Properties for Mobile Cyber Physical Systems." In 2018 17th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES). IEEE, 2018. http://dx.doi.org/10.1109/dcabes.2018.00082.

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Baca Montero, Erick Ramón, and Oleksiy V. Shulika. "Analysis of spatio-temporal properties of ultrashort optical vortices." In Laser Beam Shaping XXI, edited by Angela Dudley and Alexander V. Laskin. SPIE, 2021. http://dx.doi.org/10.1117/12.2594980.

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