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scientifique

Human mobility semantics analysis : a probabilistic and scalable approach / Xiaohui Guo in Geoinformatica [en ligne], vol 22 n° 3 (July 2018)  

Public [article]  inGeoinformatica [en ligne] > vol 22 n° 3 (July 2018) . - pp 507 - 539 Titre : Human mobility semantics analysis : a probabilistic and scalable approach Type de document : Article/Communication Auteurs : Xiaohui Guo, Auteur ; Richong Zhang, Auteur ; Xudong Liu, Auteur ; Jinpeng Huai, Auteur Année de publication : 2018 Article en page(s) : pp 507 - 539 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes descripteurs IGN] analyse sémantique [Termes descripteurs IGN] données localisées [Termes descripteurs IGN] données spatiotemporelles [Termes descripteurs IGN] mobilité [Termes descripteurs IGN] programmation stochastique [Termes descripteurs IGN] trace numérique Résumé : (Auteur) The popularity of smart mobile devices generated data, e.g., check-ins and geo-tagged status, offers new opportunity for better understanding human mobility regularity. Existing works on this problem usually resort to explicit frequency statistics models, such as association rules and sequential patterns, and rely on Euclidean distance to measure the spatial dependence. However, the noisiness and uncertainty natures of geospatial data hinder these methods’ application on human mobility in robust and intuitive way. Moreover, the mobility spatial data volume and accumulation speed challenge the traditional methods in efficiency, scalability, and time-space complexity aspects. In this context, we leverage full Bayesian sequential modeling, to revisit mobility regularity discovery from high level probabilistic semantic knowledge perspective, and to alleviate the inherent in mobility modeling and geo-data noisiness induced uncertainty. Specifically, the mobility semantics is embodied by virtue of underlying geospatial topics and topical transitions of mobility trajectories. A classic variational inference is derived to estimate posterior and predictive probabilities, and furthermore, the stochastic optimization is utilized to mitigate the costly computational overhead in message passing subroutine. The experimental results confirm that our approach not only reasonably recognizes the geospatial mobility semantic patterns, but also scales up well to embrace the massive spatial-temporal human mobility activity data. Numéro de notice : A2018-310 Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s10707-017-0295-0 date de publication en ligne : 10/04/2017 En ligne : https://doi.org/10.1007/s10707-017-0295-0 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90757 [article]

Determining the appropriate timing of the next forest inventory: incorporating forest owner risk preferences and the uncertainty of forest data quality / Kyle J. Eyvindson in Annals of Forest Science [en ligne], vol 74 n° 1 (March 2017)  

Public [article]  inAnnals of Forest Science [en ligne] > vol 74 n° 1 (March 2017) Titre : Determining the appropriate timing of the next forest inventory: incorporating forest owner risk preferences and the uncertainty of forest data quality Type de document : Article/Communication Auteurs : Kyle J. Eyvindson, Auteur ; Aaron D. Petty, Auteur ; Annika S. Kangas, Auteur Année de publication : 2017 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] aide à la décision [Termes descripteurs IGN] incertitude des données [Termes descripteurs IGN] méthode de Monte-Carlo [Termes descripteurs IGN] programmation stochastique [Termes descripteurs IGN] risque naturel [Termes descripteurs IGN] simulation numérique [Vedettes matières IGN] Inventaire forestier Résumé : (Auteur) The timing to conduct new forest inventories should be based on the requirements of the decision maker. Importance should be placed on the objectives of the decision maker and his/her risk preferences related to those objectives. Context : The appropriate use of pertinent and available information is paramount in any decision-making process. Within forestry, a new forest inventory is typically conducted prior to creating a forest management plan. The acquisition of new forest inventory data is justified by the simple statement of “good decisions require good data.” Aims : By integrating potential risk preferences, we examine the specific needs to collect new forest information. Methods : Through a two-stage stochastic programming with recourse model, we evaluate the specific timing to conduct a holding level forest inventory. A Monte Carlo simulation was used to integrate both inventory and growth model errors, resulting in a large number of potential scenarios process to be used as data for the stochastic program. To allow for recourse, an algorithm to sort the simulations to represent possible updated forest inventories, using the same data was developed. Results : Risk neutral decision makers should delay obtaining new forest information when compared to risk averse decision makers. Conclusion : New inventory data may only need to be collected rather infrequently; however, the exact timing depends on the forest owner’s objectives and risk preferences. Numéro de notice : A2017-042 Thématique : FORET Nature : Article En ligne : http://dx.doi.org/10.1007/s13595-016-0607-9 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84200 [article]

Integrating risk preferences in forest harvest scheduling / Kyle J. Eyvindson in Annals of Forest Science [en ligne], vol 73 n° 2 (June 2016)  

Public [article]  inAnnals of Forest Science [en ligne] > vol 73 n° 2 (June 2016) . - pp 321 - 330 Titre : Integrating risk preferences in forest harvest scheduling Type de document : Article/Communication Auteurs : Kyle J. Eyvindson, Auteur ; Annika S. Kangas, Auteur Année de publication : 2016 Article en page(s) : pp 321 - 330 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation [Termes descripteurs IGN] gestion [Termes descripteurs IGN] gestion prévisionnelle [Termes descripteurs IGN] planification [Termes descripteurs IGN] production végétale [Termes descripteurs IGN] programmation stochastique [Termes descripteurs IGN] risque environnemental [Termes descripteurs IGN] sylviculture Résumé : (auteur) Key message: Through a stochastic programming framework, risk preferences can be included in forest planning. The value of utilizing stochastic programming is always positive; however, the value depends on the information quality and risk preferences of the decision maker. Context: Harvest scheduling requires decisions be taken based on imperfect information and assumptions regarding the future state of the forest and markets. Aims: The aim of this study is to incorporate elements of risk management into forest management, so that the decision maker can understand the risks associated with utilizing the imperfect data. Methods: Incorporation of uncertainty is done through stochastic programming. This allows for the decision maker’s attitude towards risk to be incorporated into the development of a solution. By means of a simple even-flow problem formulation, a method of using stochastic programming to incorporate explicit trade-off between objective function value and risk of not meeting the constraints has been developed. Results: The different models highlight the importance of including uncertainty in management of forest resources. In general, as the decision maker becomes more risk averse, the incorporation of uncertainty into the model becomes more important. Conclusions: The use of stochastic programming allows for additional information to be included in the formulation, and this allows for the decision maker to account for downside risk. Numéro de notice : A2016-351 Thématique : FORET Nature : Article En ligne : http://dx.doi.org/10.1007/s13595-015-0517-2 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81061 [article]

A stochastic method for the generation of optimized building-layouts respecting urban regulation / Shuang He (oct 2014)  

Public contenu dans Advances in Spatial Data Handling and Analysis : Select Papers from the 16th IGU Spatial Data Handling Symposium / Francis Harvey (2014)     Titre : A stochastic method for the generation of optimized building-layouts respecting urban regulation Type de document : Article/Communication Auteurs : Shuang He, Auteur ; Julien Perret , Auteur ; Mickaël Brasebin , Auteur ; Mathieu Brédif , Auteur Congrès : Congrès: SDH 2014, 16th IGU Spatial Data Handling symposium Geospatial theory, processing and applications (6 - 8 octobre 2014; Toronto, Canada), Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : oct 2014 Collection : Advances in geographic information science, ISSN 1867-2434 Importance : pp 265 - 288 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes descripteurs IGN] algorithme du recuit simulé [Termes descripteurs IGN] bati [Termes descripteurs IGN] disposition de détails [Termes descripteurs IGN] méthode de Monte-Carlo par chaînes de Markov [Termes descripteurs IGN] objet géographique 3D [Termes descripteurs IGN] programmation stochastique [Termes descripteurs IGN] urbanisme Résumé : (auteur) In most countries, a project for the development of an urban area has to obey zoning regulations. In France, such zoning regulations are specified in local urban planning schemes (LUPS or PLU in French) defining the right to build at the scale of a parcel. Such rules define, for example, the maximal building height. As the rules are stated in technical documents, they are not easy for non-professionals to comprehend. It is also hard for professionals to assess their impacts. Driven by such issues, we propose to generate 3D building layouts that comply with these rules while optimizing urban indicators (e.g. floor area ratio). A building layout can be seen as a realization of a marked point process (MPP), which is a stochastic model mapping from a probability space to configurations of geometric objects, namely horizontal 3D boxes. Then, the problem of finding an optimized building layout is converted into finding the optimal realization of a MPP of 3D boxes. We solve this optimization problem by trans-dimensional simulated annealing (TDSA), which allows to explore both parameter space and model space in order to find the combination optimizing a given criterion or energy function. A global energy function is defined as the sum of weighted energy terms. Each energy term is able to penalize the building layouts that violate a specific rule or favor the ones according to the optimization task. TDSA generates the optimal building layout by minimizing this global energy using the coupling of a simulated annealing scheme with a Reversible Jump Markov Chain Monte Carlo (RJMCMC) sampler. We studied several common types of the French PLU rules and modeled them into energy terms. A case study is conducted and the results show that our proposed approach is capable of such an optimization task within a short computation time. Numéro de notice : C2014-027 Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1007/978-3-319-19950-4_16 date de publication en ligne : 30/06/2015 En ligne : http:// dx.doi.org/10.1007/978-3-319-19950-4_16 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78466

LIBRJMCMC: an open-source generic C++ library for stochastic optimization / Mathieu Brédif (2012)  

Public contenu dans Proceedings, Commission 3, XXII ISPRS Congress, 25 August – 01 September 2012, Melbourne, Australia / M. Shortis (2012)   Titre : LIBRJMCMC: an open-source generic C++ library for stochastic optimization Type de document : Article/Communication Auteurs : Mathieu Brédif , Auteur ; Olivier Tournaire, Auteur Congrès : ISPRS 2012, 22th international congress (25 aout - 1er septembre 2012; Melbourne, Australie), Commanditaire Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 2012 Collection : International Archives of Photogrammetry and Remote Sensing, ISSN 0252-8231 num. 39-B3 Importance : pp 259 - 264 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Produits informatiques [Termes descripteurs IGN] algorithme du recuit simulé [Termes descripteurs IGN] algorithme RJ-MCMC [Termes descripteurs IGN] bibliothèque logicielle [Termes descripteurs IGN] code source libre [Termes descripteurs IGN] processus ponctuel marqué [Termes descripteurs IGN] programmation stochastique Résumé : (auteur) The LIBRJMCMC is an open source C++ library that solves optimization problems using a stochastic framework. The library is primarily intended for but not limited to research purposes in computer vision, photogrammetry and remote sensing, as it has initially been developed in the context of extracting building footprints from digital elevation models using a marked point process of rectangles. It has been designed to be both highly modular and extensible, and have computational times comparable to a code specifically designed for a particular application, thanks to the powerful paradigms of metaprogramming and generic programming. The proposed stochastic optimization is built on the coupling of a stochastic Reversible-Jump Markov Chain Monte Carlo (RJMCMC) sampler and a simulated annealing relaxation. This framework allows, with theoretical guarantees, the optimization of an unrestricted objective function without requiring any initial solution. The modularity of our library allows the processing of any kind of input data, whether they are 1D signals (e.g. LiDAR or SAR waveforms), 2D images, 3D point clouds... The library user has just to define a few modules describing its domain specific context: the encoding of a configuration (e.g. its object type in a marked point process context), reversible jump kernels (e.g. birth, death, modifications...), the optimized energies (e.g. data and regularization terms) and the probabilized search space given by the reference process. Similar to this extensibility in the application domain, concepts are clearly and orthogonally separated such that it is straightforward to customize the convergence test, the temperature schedule, or to add visitors enabling visual feedback during the optimization. The library offers dedicated modules for marked point processes, allowing the user to optimize a Maximum A Posteriori (MAP) criterion with an image data term energy on a marked point process of rectangles. Numéro de notice : C2012-014 Thématique : IMAGERIE/INFORMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.5194/isprsarchives-XXXIX-B3-23-2012 En ligne : http://dx.doi.org/10.5194/isprsarchives-XXXIX-B3-259-2012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94277

Global optimization of core station networks for space geodesy: application to the referencing of the SLR EOP with respect to ITRF / David Coulot in Journal of geodesy, vol 84 n° 1 (January 2010)  

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A geometric stochastic approach based on marked point processes for road mark detection from high resolution aerial images / Olivier Tournaire in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 6 (November - December 2009)  

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A new computationally efficient stochastic approach for building reconstruction from satellite data / Florent Lafarge (01/07/2008) 

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Kalman filtering, theory and practice using MATLAB, [Third edition] / Mohinder S. Grewal (2008)

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Analyse und Optimierung geodätischer Messanordnungen unter besonderer Berücksichtigung des Intervallansatzes / S. Schön (2003)

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Introduction à l'optimisation / J.C. Culioli (1994)

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