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Artykuły w czasopismach na temat „Système spatial distribué”

Autor: Grafiati
Data publikacji: 23 listopada 2024
Data aktualizacji: 31 lipca 2025

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Sprawdź 15 najlepszych artykułów w czasopismach naukowych na temat „Système spatial distribué”.

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1

Ray, Cyril. "Un système distribué pour la modélisation de flux de données spatiales désagrégées." Revue internationale de géomatique 13, no. 2 (2003): 201–24. http://dx.doi.org/10.3166/rig.13.201-224.

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2

Morin, Denis. "Allométrie du système urbain du Québec (1941-1971)." Cahiers de géographie du Québec 19, no. 46 (2005): 17–37. http://dx.doi.org/10.7202/021246ar.

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Ce travail contribue à la connaissance du phénomène de la croissance du système urbain québécois avec l'aide de techniques statistiques. Notre double objectif est le suivant : d'une part établir la pertinence des taux de croissance allométrique calculés à l'aide de six points de référence dans le temps, et d'autre part identifier et surtout mesurer les forces qui articulent la croissance du système urbain québécois. Tout d'abord, il a été possible de voir comment la croissance des agglomérations se distribue dans l'espace. L'analyse a fait ressortir très tôt la grande complexité de la croissan
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Fortin, J. P., R. Moussa, C. Bocquillon, and J. P. Villeneuve. "Hydrotel, un modèle hydrologique distribué pouvant bénéficier des données fournies par la télédétection et les systèmes d'information géographique." Revue des sciences de l'eau 8, no. 1 (2005): 97–124. http://dx.doi.org/10.7202/705215ar.

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Les processus hydrologiques variant dans l'espace et dans le temps en fonction de la variabilité spatio-temporelle des entrées météorologiques et de l'occupation du sol ainsi que de la variabilité spatiale de la topographie et de la nature du terrain, un modèle conçu pour bénéficier des données provenant de la télédétection et des SIG a été développé. Les principaux objectifs poursuivis étaient: l'application au plus grand nombre de bassins possible, une sélection d'algorithmes permettant de tenir compte des données disponibles, un minimum d'étalonnage, la facilité de transfert d'un bassin à l
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4

GOGIEN, Frédéric, Magali DECHESNE, Rémi MARTINERIE, and Gislain LIPEME-KOUYI. "Evolution des rejets urbains de temps de pluie à l’horizon 2100 - application à valence romans agglo." Techniques Sciences Méthodes, TSM 5 2025 (May 30, 2025): 75–88. https://doi.org/10.36904/tsm/20250575.

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L’impact du changement climatique est une préoccupation croissante pour la gestion des systèmes d'assainissement, avec notamment l’intensification des événements pluvieux, et en particulier dans le bassin méditerranéen. La réponse des systèmes d’assainissement aux événements pluvieux se produit sur des pas de temps fins, alors que les données de projections climatiques ne sont disponibles que sur des pas de temps journaliers. La modélisation des précipitations futures à des pas de temps fins est donc un défi pour les hydrologues. Veolia a souhaité développer une méthode opérationnelle et repro
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5

Smit, Izak. "Systems approach towards surface water distribution in Kruger National Park, South Africa." Pachyderm 53 (June 30, 2013): 91–98. http://dx.doi.org/10.69649/pachyderm.v53i.328.

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There was concerted effort, especially between the 1960s and 1990s, to increase the distribution of surface water in Kruger National Park (KNP). As a consequence, most of the park was within easy walking distance of a permanent water source for large, mobile herbivores during the peak of the water-for-game programme. This situation was unnatural and led to various unintended ecological effects. In reaction to this and in response to changing conservation and management paradigms, the water provision policy was revised in 1997. Since the policy change, about two-thirds of the more than 300 bore
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6

Daghistani, Anas, Walid G. Aref, Arif Ghafoor, and Ahmed R. Mahmood. "SWARM: Adaptive Load Balancing in Distributed Streaming Systems for Big Spatial Data." ACM Transactions on Spatial Algorithms and Systems 7, no. 3 (2021): 1–43. http://dx.doi.org/10.1145/3460013.

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The proliferation of GPS-enabled devices has led to the development of numerous location-based services. These services need to process massive amounts of streamed spatial data in real-time. The current scale of spatial data cannot be handled using centralized systems. This has led to the development of distributed spatial streaming systems. Existing systems are using static spatial partitioning to distribute the workload. In contrast, the real-time streamed spatial data follows non-uniform spatial distributions that are continuously changing over time. Distributed spatial streaming systems ne
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7

Kacin, Melanie, Oakyoon Cha, and Isabel Gauthier. "The Relation between Ensemble Coding of Length and Orientation Does Not Depend on Spatial Attention." Vision 7, no. 1 (2022): 3. http://dx.doi.org/10.3390/vision7010003.

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Most people are good at estimating summary statistics for different features of groups of objects. For instance, people can selectively attend to different features of a group of lines and report ensemble properties such as the mean length or mean orientation and there are reliable individual differences in such ensemble judgment abilities. Our recent study found decisive evidence in support of a correlation between the errors on mean length and mean orientation judgments (r = 0.62). The present study investigates one possible mechanism for this correlation. The ability to allocate spatial att
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8

Baringo, Fonseca Clara, Luiza Correa, Nayara Soto, and Rafael Sacramento. "SiBBr: Envisioning the spatial distribution of Brazilian biodiversity records." Biodiversity Information Science and Standards 1 (August 2, 2017): e19966. https://doi.org/10.3897/tdwgproceedings.1.19966.

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Habitat degradation and fragmentation has driven much of the extinction process of current species. Biodiversity loss compromises ecosystems goods and socioeconomic activities, and can be managed through holistic conservation policies that prioritize where and how to spend efforts and resources. Hence an easy-to-use information tool that crosses biodiversity data with geographical locations is key for the development of effective conservation policies. The Brazilian Biodiversity Information System (SiBBr), a government initiative and the Brazilian node of the Global Biodiversity Information Fa
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Cao, Kerang, Kwang-nam Choi, Hoekyung Jung, and Lini Duan. "Deep Learning for Facial Beauty Prediction." Information 11, no. 8 (2020): 391. http://dx.doi.org/10.3390/info11080391.

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Facial beauty prediction (FBP) is a burgeoning issue for attractiveness evaluation, which aims to make assessment consistent with human opinion. Since FBP is a regression problem, to handle this issue, there are data-driven methods for finding the relations between facial features and beauty assessment. Recently, deep learning methods have shown its amazing capacity for feature representation and analysis. Convolutional neural networks (CNNs) have shown tremendous performance on facial recognition and comprehension, which are proved as an effective method for facial feature exploration. Lately
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10

Borges, Marco A., Paulo B. Lopes, and Leandro A. da Silva. "Network Optimization of Carbon Monoxide Sensor Nodes in the Metropolitan Region of São Paulo." Electronics 12, no. 22 (2023): 4647. http://dx.doi.org/10.3390/electronics12224647.

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Air pollution is one of the biggest problems affecting large urban areas. Better monitoring of regions suffering from this type of pollution is in the interest of public health. Although many cities employ sensors to monitor air pollution, a current concern is how to establish the ideal number of sensors to monitor a given geographical region. To address this concern, this research proposes a method to optimize the number of sensors in an air pollution monitoring network to cover a given region efficiently and precisely and uses the metropolitan region of São Paulo, Brazil, and CO sensors as a
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11

"Detection of False Data Injection Attacks in Smart-Grid Systems: Benchmarking Deep Learning Techniques." Journal of Electrical Electronics Engineering 2, no. 1 (2023). http://dx.doi.org/10.33140/jeee.02.01.05.

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In essence, smart grids are electrical networks that transmit and distribute electricity in a reliable, effective manner using information and communication technology (ICT). Trust and security are of the utmost importance. False data injection (FDI) attacks are one of the most serious new security problems, and they can drastically raise the price of the energy distribution process. However, rather than smart grid infrastructures, the majority of current research focuses on FDI defenses for conventional electricity networks. By utilizing spatial-temporal correlations between grid components,
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12

Makanga, Prestige, and Julian Smit. "A Review of the Status of Spatial Data Infrastructure Implementation in Africa." South African Computer Journal 45 (August 3, 2010). http://dx.doi.org/10.18489/sacj.v45i0.36.

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Spatial data is a key resource for the development of a nation. There is a lot of economic potential that is locked away in spatial data collections and this potential is realised by making the data widely available. Spatial Data Infrastructures (SDI) provide a platform for spatial data users, producers and those that manage it, to distribute the data more efficiently. Governments all over the world are realising the value of National Spatial Data Infrastructures (NSDI), and therefore making major investments to establish them. However, in Africa, implementation of formal NSDI is being done at
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13

Zhao, Yan, Kai Zheng, Ziwei Wang, et al. "Coalition-based task assignment with priority-aware fairness in spatial crowdsourcing." VLDB Journal, July 7, 2023. http://dx.doi.org/10.1007/s00778-023-00802-3.

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AbstractWith the widespread use of networked and geo-positioned mobile devices, e.g., smartphones, Spatial Crowdsourcing (SC), which refers to the assignment of location-based tasks to moving workers, is drawing increasing attention. One of the critical issues in SC is task assignment that allocates tasks to appropriate workers. We propose and study a novel SC problem, namely Coalition-based Task Assignment (CTA), where the spatial tasks (e.g., home improvement and furniture installation) may require more than one worker (forming a coalition) to cooperate to maximize the overall rewards of wor
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14

Diarra, Zeinab Raissa, Abou Abdallah Malick Diouara, and Mathias Glaus. "Cartographie des processus d’orpaillage artisanal dans le sud-est du Sénégal : apprentissage terrain et structuration de l’information." VertigO 24-3 (2024). https://doi.org/10.4000/14ehg.

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La zone d’étude est localisée dans la région de Kédougou, située au sud-est du Sénégal et porte sur l’exploitation minière artisanale et à petite échelle (EMAPE). Ce type d’activité joue un rôle essentiel dans l’économie locale, notamment comme source de revenus complémentaire aux activités traditionnelles (élevage, pêche, agriculture, et autres). Les opportunités sont autant des métiers informels directs (forgerons, concasseurs et broyeurs, opérateurs de lavage et de séparation, et cetera) qu’indirects (commerçants, cuisinières, transporteurs et livreurs, et cetera). Toutefois, elle est aussi
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15

Zhang, Dunbo, Qingjie Lang, Ruoxi Wang, and Li Shen. "Extension VM: Interleaved Data Layout in Vector Memory." ACM Transactions on Architecture and Code Optimization, November 7, 2023. http://dx.doi.org/10.1145/3631528.

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While vector architecture is widely employed in processors for neural networks, signal processing, and high-performance computing; however, its performance is limited by inefficient column-major memory access. The column-major access limitation originates from the unsuitable mapping of multidimensional data structures to two-dimensional vector memory spaces. In addition, the traditional data layout mapping method creates an irreconcilable conflict between row- and column-major accesses. Ideally, both row- and column-major accesses can take advantage of the bank parallelism of vector memory. To
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