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Готові списки джерел за темами / Time-map

Добірка наукової літератури з теми "Time-map"

Автор: Grafiati

Опубліковано: 14 березня 2023

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Статті в журналах з теми "Time-map"

1

Govedar, Nina. "Designing a Time Map." Филолог – часопис за језик књижевност и културу, no. 16 (December 30, 2017): 367–70. http://dx.doi.org/10.21618/fil1716367g.

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2

WILLEBOORDSE, FREDERICK H. "TIME-DELAYED MAP PHENOMENOLOGICAL EQUIVALENCY WITH A COUPLED MAP LATTICE." International Journal of Bifurcation and Chaos 02, no. 03 (September 1992): 721–25. http://dx.doi.org/10.1142/s0218127492000847.

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It is shown that, what so far were considered to be purely spatiotemporal, phenomena in a model for a Coupled Map Lattice can be obtained through a newly introduced Time-Delayed Map with only one chaotic element, thereby effectively eliminating the spatial dimension.

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3

Shams, Ahmed. "Time for a New Sinai Map?" Cartographica: The International Journal for Geographic Information and Geovisualization 56, no. 3 (September 29, 2021): 208–25. http://dx.doi.org/10.3138/cart-2020-0018.

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Il est temps qu’une nouvelle carte vienne compléter le relevé britannique du Sinaï, inachevé depuis 150 ans. À la fin du 19e siècle et au début du 20e siècle, le passage de l’individualité à institutionnalisation (chez les autorités responsables des levés) et la transformation du sud de l’histoire (biblique) en nord géopolitique (champ de bataille) conduisent à la détérioration des données cartographiques. Ces deux faits, révélés par le groupe Sinai Peninsula Research (SPR) à la suite de vingt années de travail de terrain, soulèvent une question cruciale sur la réalité des cartes postcoloniales au Moyen-Orient. Ils contredisent, en effet, le présupposé géopolitique selon lequel la péninsule est une région bien cartographiée, du fait de la production intensive de cartes par différentes autorités coloniales (pendant leur mandat) et postcoloniales (nationales : britanniques, étatsuniennes, soviétiques, israéliennes et égyptiennes). En fait, peu de ces cartes sont fondées sur des levés de terrain, ce qui a des conséquences à plusieurs niveaux, dans la mesure où l’absence de compatibilité entre les données cartographiques ne permet pas de prendre des décisions éclairées. La gouvernance, l’usage des terres et la propriété sont les questions les plus problématiques, car elles ont des conséquences sur tous les secteurs, toutes les industries et toutes les disciplines scientifiques.

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4

Georgoulas, Christos, Leonidas Kotoulas, Georgios Ch Sirakoulis, Ioannis Andreadis, and Antonios Gasteratos. "Real-time disparity map computation module." Microprocessors and Microsystems 32, no. 3 (May 2008): 159–70. http://dx.doi.org/10.1016/j.micpro.2007.10.002.

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5

Davies, J. J., A. R. Beresford, and A. Hopper. "Scalable, Distributed, Real-Time Map Generation." IEEE Pervasive Computing 5, no. 4 (October 2006): 47–54. http://dx.doi.org/10.1109/mprv.2006.83.

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6

Deshmukh, Sharief. "A Harmonic Map of Space-Time." International Journal of Theoretical Physics 50, no. 6 (February 8, 2011): 1837–45. http://dx.doi.org/10.1007/s10773-011-0698-x.

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7

Moustafa, Khaled. "MAP kinases nomenclature: Time for curation." Plant Signaling & Behavior 12, no. 12 (December 2, 2017): e1388974. http://dx.doi.org/10.1080/15592324.2017.1388974.

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8

HIROSE, Shigeo, Kazuhiro YOSHIDA, and Yasumasa TORATANI. "The study of map realization system. (Consideration on real-time map generation)." Journal of the Robotics Society of Japan 6, no. 1 (1988): 14–25. http://dx.doi.org/10.7210/jrsj.6.14.

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9

Pontius, Robert Gilmore, and Christopher D. Lippitt. "Can Error Explain Map Differences Over Time?" Cartography and Geographic Information Science 33, no. 2 (January 2006): 159–71. http://dx.doi.org/10.1559/152304006777681706.

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10

Habibi, Roya, and Ali Asghar Alesheikh. "A time-driven symbology for map visualization." Abstracts of the ICA 5 (September 14, 2022): 1–2. http://dx.doi.org/10.5194/ica-abs-5-125-2022.

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Дисертації з теми "Time-map"

1

Liu, Yang. "Temporal Saliency Map of Real-time Video Sequence." Thesis, Imperial College London, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.498564.

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2

Ezequiel, Carlos Favis. "Real-Time Map Manipulation for Mobile Robot Navigation." Scholar Commons, 2013. http://scholarcommons.usf.edu/etd/4481.

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Mobile robots are gaining increased autonomy due to advances in sensor and computing technology. In their current form however, robots still lack algorithms for rapid perception of objects in a cluttered environment and can benefit from the assistance of a human operator. Further, fully autonomous systems will continue to be computationally expensive and costly for quite some time. Humans can visually assess objects and determine whether a certain path is traversable, but need not be involved in the low-level steering around any detected obstacles as is necessary in remote-controlled systems. If only used for rapid perception tasks, the operator could potentially assist several mobile robots performing various tasks such as exploration, surveillance, industrial work and search and rescue operations. There is a need to develop better human-robot interaction paradigms that would allow the human operator to effectively control and manage one or more mobile robots. This paper proposes a method of enhancing user effectiveness in controlling multiple mobile robots through real-time map manipulation. An interface is created that would allow a human operator to add virtual obstacles to the map that represents areas that the robot should avoid. A video camera is connected to the robot that would allow a human user to view the robot's environment. The combination of real-time map editing and live video streaming enables the robot to take advantage of human vision, which is still more effective at general object identification than current computer vision technology. Experimental results show that the robot is able to plan a faster path around an obstacle when the user marks the obstacle on the map, as opposed to allowing the robot to navigate on its own around an unmapped obstacle. Tests conducted on multiple users suggest that the accuracy in placing obstacles on the map decreases with increasing distance of the viewing apparatus from the obstacle. Despite this, the user can take advantage of landmarks found in the video and in the map in order to determine an obstacle's position on the map.

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3

Martinelli, Earl Nicholas. "A Dynamic Time Course of Cognitive Map Distortion." Thesis, Connect to title online (Scholars' Bank), 2008. http://hdl.handle.net/1794/7892.

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4

Paci, Lucia <1985&gt. "Bayesian space-time data fusion for real-time forecasting and map uncertainty." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amsdottorato.unibo.it/6182/2/Paci_Lucia_tesi.pdf.

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Environmental computer models are deterministic models devoted to predict several environmental phenomena such as air pollution or meteorological events. Numerical model output is given in terms of averages over grid cells, usually at high spatial and temporal resolution. However, these outputs are often biased with unknown calibration and not equipped with any information about the associated uncertainty. Conversely, data collected at monitoring stations is more accurate since they essentially provide the true levels. Due the leading role played by numerical models, it now important to compare model output with observations. Statistical methods developed to combine numerical model output and station data are usually referred to as data fusion. In this work, we first combine ozone monitoring data with ozone predictions from the Eta-CMAQ air quality model in order to forecast real-time current 8-hour average ozone level defined as the average of the previous four hours, current hour, and predictions for the next three hours. We propose a Bayesian downscaler model based on first differences with a flexible coefficient structure and an efficient computational strategy to fit model parameters. Model validation for the eastern United States shows consequential improvement of our fully inferential approach compared with the current real-time forecasting system. Furthermore, we consider the introduction of temperature data from a weather forecast model into the downscaler, showing improved real-time ozone predictions. Finally, we introduce a hierarchical model to obtain spatially varying uncertainty associated with numerical model output. We show how we can learn about such uncertainty through suitable stochastic data fusion modeling using some external validation data. We illustrate our Bayesian model by providing the uncertainty map associated with a temperature output over the northeastern United States.

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5

Paci, Lucia <1985&gt. "Bayesian space-time data fusion for real-time forecasting and map uncertainty." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amsdottorato.unibo.it/6182/.

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Анотація:

Environmental computer models are deterministic models devoted to predict several environmental phenomena such as air pollution or meteorological events. Numerical model output is given in terms of averages over grid cells, usually at high spatial and temporal resolution. However, these outputs are often biased with unknown calibration and not equipped with any information about the associated uncertainty. Conversely, data collected at monitoring stations is more accurate since they essentially provide the true levels. Due the leading role played by numerical models, it now important to compare model output with observations. Statistical methods developed to combine numerical model output and station data are usually referred to as data fusion. In this work, we first combine ozone monitoring data with ozone predictions from the Eta-CMAQ air quality model in order to forecast real-time current 8-hour average ozone level defined as the average of the previous four hours, current hour, and predictions for the next three hours. We propose a Bayesian downscaler model based on first differences with a flexible coefficient structure and an efficient computational strategy to fit model parameters. Model validation for the eastern United States shows consequential improvement of our fully inferential approach compared with the current real-time forecasting system. Furthermore, we consider the introduction of temperature data from a weather forecast model into the downscaler, showing improved real-time ozone predictions. Finally, we introduce a hierarchical model to obtain spatially varying uncertainty associated with numerical model output. We show how we can learn about such uncertainty through suitable stochastic data fusion modeling using some external validation data. We illustrate our Bayesian model by providing the uncertainty map associated with a temperature output over the northeastern United States.

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6

Svenzén, Niklas. "Real Time Implementation of Map Aided Positioning Using a Bayesian Approach." Thesis, Linköping University, Department of Electrical Engineering, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1493.

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With the simple means of a digitized map and the wheel speed signals, it is possible to position a vehicle with an accuracy comparable to GPS. The positioning problem is a non-linear filtering problem and a particle filter has been applied to solve it. Two new approaches studied are the Auxiliary Particle Filter (APF), that aims at lowerering the variance of the error, and Rao-Blackwellization that exploits the linearities in the model. The results show that these methods require problems of higher complexity to fully utilize their advantages.

Another aspect in this thesis has been to handle off-road driving scenarios, using dead reckoning. An off road detection mechanism has been developed and the results show that off-road driving can be detected accurately. The algorithm has been successfully implemented on a hand-held computer by quantizing the particle filter while keeping good filter performance.

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7

Myers, Vanessa. "Evaluation of Real-Time Weather Map Discussions in the Middle School Classroom." Kent State University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=kent1240258414.

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8

Carson-Berndsen, Julie. "Time map phonology : finite state models and event logics in speech recognition /." Dordrecht ; Boston ; London : Kluwer academic publishers, 1998. http://catalogue.bnf.fr/ark:/12148/cb37533760b.

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9

Padmanabhan, Vijaybalaji. "Developing an operational procedure to produce digitized route maps using GPS vehicle location data." Thesis, Virginia Tech, 2000. http://hdl.handle.net/10919/32202.

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Анотація:

Advancements in Global Positioning System (GPS) technology now make GPS data collection for transportation studies and other transportation applications a reality. Base map for the application can be obtained by importing the road centerline map into GIS software like AutoCAD Map, or Arc/Info or MapixTM. However, such kinds of Road Centerline maps are not available for all places. Therefore, it may be necessary to collect the data using GPS units. This thesis details the use of GPS technology to produce route maps that can be used to predict arrival time of a bus. This application is particularly useful in rural areas, since the bus headway in a rural area is generally larger than that in an urban area. The information is normally communicated through various interfaces such as internet, cable TV, etc., based on the GPS bus location data. The objective of this thesis is to develop an operational procedure to obtain the digitized route map of any desired interval or link length and to examine the accuracy of the digitized map. The operational procedure involved data collection, data processing, algorithm development and coding to produce the digitized route maps. An algorithm was developed produce the digitized route map from the base map of the route, coded in MATLAB, and can be used to digitize the base map into any desired interval of distance. The accuracy comparison is made to determine the consistency between the digitized route map and the base map.
Master of Science

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10

Park, Chanoh. "Multimodal dense map-centric SLAM." Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/209881/1/Chanoh_Park_Thesis.pdf.

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This thesis focuses on the problem of LiDAR sensor-based mapping where conventional methods has difficulties with the long-term operation or sensor integration. A new mapping system framework has been proposed to overcome the shortcomings of the conventional methods and we demonstrate its advantages on multiple map datasets collected from various environments. The outcome of the research will be useful for several applications where long-term mapping required, such as security robots, autonomous cars, and service robots.

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Книги з теми "Time-map"

1

Carson-Berndsen, Julie. Time Map Phonology. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-017-3534-6.

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2

Palma, Félix J. The map of time: A novel. New York: Pocket Books, 2012.

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3

Palma, Félix J. The map of time: A novel. New York: Atria Books, 2011.

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4

Finlay, MacLeod, and Lanntair Gallery (Stornoway Scotland), eds. Togail tìr =: Marking time : the map of the Western Isles. Stornoway, Isle of Lewis: Acair Ltd, 1989.

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5

Broken time, fragmented space: A cultural map for postwar Italy. Toronto: University of Toronto Press, 2002.

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6

Funakoshi, Katsura. A map of the time: Skulpturen und Zeichnungen = sculpture and drawings. London: Annely Juda Fine Art, 2005.

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7

A map to the end of time: Wayfarings with friends and philosophers. New York: W.W. Norton, 1999.

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8

Time map phonology: Finite state models and event logics in speech recognition. Dordrecht: Kluwer, 1998.

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9

Carson-Berndsen, Julie. Time Map Phonology: Finite State Models and Event Logics in Speech Recognition. Dordrecht: Springer Netherlands, 1998.

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10

The map of time: Seventeenth-century English literature and ideas of pattern in history. Urbana: University of Illinois Press, 1986.

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Частини книг з теми "Time-map"

1

Cheng, Haobo. "Dwell-Time Map." In Independent Variables for Optical Surfacing Systems, 133–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-45355-7_4.

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2

de Lange, Paul, Yuhei Takata, Hongho Kim, Hongen Liao, Etsuko Kobayashi, Minoru Ono, Shunei Kyo, et al. "Real-Time Epicardial Excitation Time Map Overlay." In Lecture Notes in Computer Science, 521–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15699-1_55.

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3

Nguyen, Hong Thi, Diu Ngoc Thi Ngo, Tha Thi Bui, Cam Ngoc Thi Huynh, and Phuoc Vinh Tran. "Visualizing Space-Time Map for Bus." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 38–47. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77818-1_4.

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4

Gangwal, Neeraj, and P. K. Garg. "Real Time Animated Map Viewer (AMV)." In Advances in Intelligent Systems and Computing, 357–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32063-7_38.

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5

Stefani, Gianna. "Regularity properties of the minimum-time map." In Nonlinear Synthesis, 270–82. Boston, MA: Birkhäuser Boston, 1991. http://dx.doi.org/10.1007/978-1-4757-2135-5_21.

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6

Carson-Berndsen, Julie. "The Event Concept in Time Map Phonology." In Text, Speech and Language Technology, 67–88. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-017-3534-6_4.

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7

Galčík, František, and Radoslav Gargalík. "Real-Time Depth Map Based People Counting." In Advanced Concepts for Intelligent Vision Systems, 330–41. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02895-8_30.

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8

Wilde, Thomas, Christian Rössl, and Holger Theisel. "Flow Map Processing by Space-Time Deformation." In Advances in Visual Computing, 236–47. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64556-4_19.

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9

Olszewski, Dominik, Janusz Kacprzyk, and Sławomir Zadrożny. "Time Series Visualization Using Asymmetric Self-Organizing Map." In Adaptive and Natural Computing Algorithms, 40–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37213-1_5.

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10

Wang, Peng, Yi Liu, Taiheng Jin, and May Huang. "Real-Time Map Generation Using Constraint Delaunay Triangulation." In Convergence and Hybrid Information Technology, 530–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24082-9_65.

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Тези доповідей конференцій з теми "Time-map"

1

Fokkema, Jacob T., A. E. Maaskant, and G. J. Drijkoningen. "Prestack time‐time image map." In SEG Technical Program Expanded Abstracts 1992. Society of Exploration Geophysicists, 1992. http://dx.doi.org/10.1190/1.1821896.

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2

Blake, Bruce A., and Olivier Clauss. "Measuring time map uncertainty." In SEG Technical Program Expanded Abstracts 2013. Society of Exploration Geophysicists, 2013. http://dx.doi.org/10.1190/segam2013-0131.1.

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3

Kautz, Jan, Wolfgang Heidrich, and Hans-Peter Seidel. "Real-time bump map synthesis." In the ACM SIGGRAPH/EUROGRAPHICS workshop. New York, New York, USA: ACM Press, 2001. http://dx.doi.org/10.1145/383507.383534.

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4

Wrotek, Pawel, Alexander Rice, and Morgan McGuire. "Real-time bump map deformations." In ACM SIGGRAPH 2004 Posters. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1186415.1186417.

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5

Krumm, John, Eric Horvitz, and Julie Letchner. "Map Matching with Travel Time Constraints." In SAE World Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2007. http://dx.doi.org/10.4271/2007-01-1102.

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6

Kim, Taehoon, and Ki-Joune Li. "Real-time Symbolic Indoor Map Matching." In SIGSPATIAL '18: 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3282461.3282466.

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7

"Pollution Gathering: Real time Pollution Map." In 2015 International Conference on Advances in Software, Control and Mechanical Engineering. Universal Researchers, 2015. http://dx.doi.org/10.17758/ur.u0915112.

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8

Sarlin, Peter. "A Self-Organizing Time Map for time-to-event data." In 2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM). IEEE, 2013. http://dx.doi.org/10.1109/cidm.2013.6597241.

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9

Weder, Silvan, Johannes Schonberger, Marc Pollefeys, and Martin R. Oswald. "RoutedFusion: Learning Real-Time Depth Map Fusion." In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020. http://dx.doi.org/10.1109/cvpr42600.2020.00494.

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10

"TOWARDS REAL-TIME NEURONAL DISPARITY MAP ESTIMATION." In International Conference on Computer Vision Theory and Applications. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0002833803550360.

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Звіти організацій з теми "Time-map"

1

Fortin, G., and S. M. Blasco. Time-structure map on the sub-Iperk unconformity. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1996. http://dx.doi.org/10.4095/207690.

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2

Cook, D. G., and B. C. MacLean. Figure 41. Seismic time-thickness map of the DL Assemblage. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2004. http://dx.doi.org/10.4095/216192.

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3

Cook, D. G., and B. C. MacLean. Figure 8. Seismic time-structure map of the sub-Cambrian unconformity. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2004. http://dx.doi.org/10.4095/216182.

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4

Cook, D. G., and B. C. MacLean. Figure 52. Seismic time-thickness map of the M/S Assemblage. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2004. http://dx.doi.org/10.4095/216196.

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Lehman, S. Acoustic Longitudinal Field NIF Optic Feature Detection Map Using Time-Reversal & MUSIC. Office of Scientific and Technical Information (OSTI), February 2006. http://dx.doi.org/10.2172/899101.

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MacLean, B. C. Sub-Cambrian unconformity subcrop and seismic time structure map, western plains, Northwest Territories, Canada. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1999. http://dx.doi.org/10.4095/210628.

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MacLean, B. C. Sub-Cambrian unconformity subcrop and seismic time structure map, western plains, Northwest Territories, Canada. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2000. http://dx.doi.org/10.4095/211689.

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Cook, D. G., and B. C. MacLean. Figure 15. Seismic time-thickness map of the Lower Unit of the HB Assemblage. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2004. http://dx.doi.org/10.4095/216186.

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Cook, D. G., and B. C. MacLean. Figure 32. Seismic time-thickness map of the Syntectonic Unit of the HB Assemblage. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2004. http://dx.doi.org/10.4095/216190.

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Brake, V. I., M. J. Duchesne, K. Dewing, M. Claprood, E. Gloaguen, and T. A. Brent. Time- and depth-structure map, Awingak Formation, Sabine Peninsula, Melville Island, Nunavut - Northwest Territories. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2013. http://dx.doi.org/10.4095/293085.

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