Quantification en présence de divergence d'intérêts : application aux réseaux d'électricité intelligents

National audienceMotivated by an application to smart grid, this paper generalizes the problem of scalar quantization in the case in which an agent, the consumer, determines the quantization cells and the other agent, the electrical network operator called aggregator, determines the representatives. We know that the standard quantization consists of two fictitious agents, which can be identified as a single one, minimizing the distorsion on the cells and on the representatives. In this paper, we consider a variation of that framework where the payoff functions maximized by the two agents are distincts. Their difference is called bias and implies a new strategic approach to the problem. Using tools from game theory, this work will highlight some key differences between the "strategic quantization" and the standard quantization, namely all communication ressources are not necessarily used, the bias between the payoffs has an influence on the quantity of exchanged information and the speed of convergence of methods analogous to the Llyod-Max algorithm in the strategic caseMotivé par une application issue des « Smart Grid », les « réseaux d'électricité intelligents », cet article généralise le problème de la quantification scalaire dans le cas où un agent, un consommateur, détermine les cellules de quantification et l'autre, un opérateur de réseau appelé agrégateur, les représentants. À la différence de la quantification classique où deux agents, fictifs et que l'on peut supposer ne faire qu'un, minimisent la distorsion sur les cellules et les représentants, les utilités maximisées ici par les deux agents sont distinctes. Leur différence est mesurée par un biais et va conduire à une réinterprétation stratégique du problème de quantification. Reprenant des outils de théorie des jeux, cet article va montrer quelques différences fondamentales entre le cas de la « quantification stratégique » et celui de la quantification classique : toutes les ressources de communication ne sont pas forcément utilisées, le biais entre utilité va fortement conditionner la quantité d'information échangée et la vitesse de convergence des méthodes analogues à l'algorithme de Lloyd-Max dans le cas stratégique

Be the Water

Ce qu’on inflige à l’eau, c’est à nous-mêmes qu’on le fait. Soyons l’eau. Ce texte démontre dans une perspective Anishinaabekwe, l’interaction physique et spirituelle, le sacré de l’eau et nos responsabilités en tant que femmes à aider notre Mère Terre à continuer à protéger et à dialoguer au nom de l’eau

Dystopie, Fragmentation et Filiation dans 'Aquariums' de J.D. Kurtness

J.D. Kurtness stands out on the indigenous literary scene for her unique style, inspired by dystopian and apocalyptic writing. In Aquariums, the author delivers a fragmented novel of filiation, mixing the different (non-)stories of a lineage and of the same generation, like an aquarium housing an ecosystem, to an apocalyptic end forcing a reset of the planetary population. Kurtness’s aesthetic is characterised by a holistic cosmic writing in which a sort of Glissant’s Tout-Monde is formed: the narratives of ancestors and the living communicate with the perceived and existing elements. This cosmic writing is conveyed through the fragmentary form, which is more organic than functional, the use of nature-related metaphors, that are tied to the life story of a whale, and the hybridity of the novel, which mixes the genres of life writing and dystopia. Although the author is Ilnu, the dimension of autochthony is not central to Aquariums. It is partially present in the discourse and the constellation of characters, but is not actively addressed. Résumé J.D. Kurtness se distingue sur la scène littéraire des autrices autochtones de par son style singulier, inspiré de l’écriture dystopique et apocalyptique. Dans Aquariums, l’autrice livre un roman de filiation fragmenté, mêlant les différents (non-)récits d’une lignée et d’une même génération, à l’image d’un aquarium abritant un écosystème, à une fin apocalyptique forçant une réinitialisation de la population planétaire. L’esthétisme de Kurtness se caractérise par une écriture cosmique holiste dans laquelle une sorte de Tout-Monde d’après Glissant se forme : les récits des ancêtres et des vivants communiquent avec les éléments perçus et existants. Cette écriture cosmique se transmet à travers la forme fragmentaire, davantage organique que fonctionnelle, l’utilisation de métaphores liées à la nature qui se nouent au récit de vie d’une baleine, et l’hybridité que présente le roman, qui mêle les genres du life writing à la dystopie. Bien que l’autrice soit ilnu, la dimension de l’autochtonie n’est pas centrale pour Aquariums. Celle-ci se retrouve certes partiellement présente dans le discours et la constellation des personnages, mais n’est pas activement abordée. Mots-clés : J.D. Kurtness; fragment; filiation; dystopie; inn

Modelling topographic effects on winds in the Alberta oil sands area

Two versions of the mesoscale, one-level, primitive equations wind model of Danard (1977) have been adapted to northeastern Alberta. The model starts from a surface wind obtained from a balance between large-scale pressure gradient, Coriolis, and frictional forces. The surface temperatures and pressures are changed by adiabatic flow over varying terrain and non-adiabatic heating. The changes in horizontal pressure gradient force then modify the surface winds to account for small-scale topographic effects. This is referred to as dynamical adjustment. In one version of the model, the Stoney Mountain model, geestrophic winds are obtained from Atmospheric Environment Service (AES) sea-level and 850mb charts. In the other application, the Mildred Lake model, the thermal and momentum boundary layers are estimated directly from high-resolution vertical profiles of temperatures and winds provided by minisondes. Geostrophic winds and isobaric temperature gradients are obtained from observed minisonde winds above the momentum boundary layer. The Stoney Mountain model is applied to ten cases and the Mildred Lake version to six. The cases were chosen because good data were available and because they provided variety in wind direction, season, and synoptic conditions. In the Stoney Mountain model, 50% of the time, the difference between reported and computed speeds is less than 2.8 km/h in magnitude. The fiftieth percentile for angle difference is only 90 . For the Mildred Lake version, fiftieth percentiles for the magnitude of the speed and angle differences are 2. 7 km/h and 190, respectiveIy

The role of anomalous SST and surface fluxes over the Southeastern North Atlantic in the explosive development of windstorm Xynthia

In late February 2010 the extraordinary windstorm Xynthia crossed over Southwestern and Central Europe and caused severe damage, affecting particularly the Spanish and French Atlantic coasts. The storm was embedded in uncommon large-scale atmospheric and boundary conditions prior to and during its development, namely enhanced sea surface temperatures (SST) within the low-level entrainment zone of air masses, an unusual southerly position of the polar jet stream, and a remarkable split jet structure in the upper troposphere. To analyse the processes that led to the rapid intensification of this exceptional storm originating close to the subtropics (30°N), the sensitivity of the cyclone intensification to latent heat release is determined using the regional climate model COSMO-CLM forced with ERA-Interim data. A control simulation with observed SST shows that moist and warm air masses originating from the subtropical North Atlantic were involved in the cyclogenesis process and led to the formation of a vertical tower with high values of potential vorticity (PV). Sensitivity studies with reduced SST or increased laminar boundary roughness for heat led to reduced surface latent heat fluxes. This induced both a weaker and partly retarded development of the cyclone and a weakening of the PV-tower together with reduced diabatic heating rates, particularly at lower and mid levels. We infer that diabatic processes played a crucial role during the phase of rapid deepening of Xynthia and thus to its intensity over the Southeastern North Atlantic. We suggest that windstorms like Xynthia may occur more frequently under future climate conditions due to the warming SSTs and potentially enhanced latent heat release, thus increasing the windstorm risk for Southwestern Europe

Analisis Kinerja Keuangan Perusahaan Sebelum Dan Sesudah Merger Dan Akusisi Di Bursa Efek Indonesia Periode 2013-2017

Financial performance is a measure of the success or failure of a company in a certain period. The factors that influence the company's financial performance are the Current Ratio, Debt Equity Ratio, Total Assets Turnover, Return on Assets, Return on Equity as variable liquidity, solvency, activity and profitability. This study aims to determine the differences in financial performance of companies before and after the acquisition. The subject of this study consisted of manufacturing companies listed on the Indonesia Stock Exchange in the period 2013-2017 selected by purposive sampling. The analytical method in this study used descriptive analysis and different tests of the Wilcoxon sign test. The result of different test analysis of Wilcoxon sign test is Current Ratio not different from the company before and after the acquisition merger, Debt Equity Ratio is not different from the company before and after the acquisition merger, Total Assets Turnover is not different from the company before and after acquisition mergers, Return on Asset is different towards the company before and after the acquisition merger, Return on Equity is different for the company before and after the acquisition merger. Keywords : Current Ratio, Debt Equity Ratio, Total Assets Turnover, Return on Assets, and Return on Equit

UC-144 Attack Surface Management and Analysis

Recent advancements in AI have made knowledge more accessible, but this also introduces risks, as vulnerabilities can now be quickly found and exploited. To address this, we developed a comprehensive, cloud-native attack surface monitoring suite in Google Cloud. Integrating open-source intelligence tools like OWASP Amass and Project Discovery, along with custom Python-based processing, we gather extensive security data—covering subdomain enumeration, open ports, HTTP responses, and DNS configurations. This data is stored in BigQuery, processed, and visualized in Looker Studio for easy client interpretation. A containerized, scalable backend with a Flask-based API ensures seamless tool integration and adaptability. BigQuery ML further classifies domains’ security, empowering organizations with proactive risk assessment and attack surface monitoring