Definition and Validation of a Business IT Alignment Method for Enterprise Governance Improvement in the Context of Processes Based Organizations

These days, it is remarkable to note the growing of interest in professional responsibility. Specifically, the responsibility a person commits to when he or she performs a task. Based on a review of research currently performed in the field of policy (from corporate to technical ones), we observe that the perception of responsibility has often been limited to a combination of rights and obligations. In addition, we are seeing a re-emergence in business (for example, in the financial sector) of a belief that business ethics foundation can be improved and that a renewed focus in this area would help to prevent future breakdowns in the system. With regard to improving business/IT alignment and corporate ICT governance, it becomes increasingly important to define a commonly accepted personal responsibility model that embodies important and well-known concepts like accountability, capability and commitment. Moreover, because responsibility constitutes a fundamental notion of management theory, it is likewise identified as a meaningful bridge toward organizational artifacts. Exploiting process-based approach to define policy seems to offer new research opportunities since process-based organization becomes a continuous widely spread structure.ICT Governance, Responsibility model, Capability, Accountability, Commitment.

On the quaternion ℓ\ell-isogeny path problem

Let \cO be a maximal order in a definite quaternion algebra over $\mathbb{Q}$ of prime discriminant $p$, and $\ell$ a small prime. We describe a probabilistic algorithm, which for a given left $O$-ideal, computes a representative in its left ideal class of $\ell$-power norm. In practice the algorithm is efficient, and subject to heuristics on expected distributions of primes, runs in expected polynomial time. This breaks the underlying problem for a quaternion analog of the Charles-Goren-Lauter hash function, and has security implications for the original CGL construction in terms of supersingular elliptic curves.Comment: To appear in the LMS Journal of Computation and Mathematics, as a special issue for ANTS (Algorithmic Number Theory Symposium) conferenc

Mapping soil and substratum at a very high spatial resolution in the hillslope of Couchey (France)

International audienceIn this work, we present a method based on very high spatial resolution (VHSR) aerial images acquired in the visible domain and that map soil surface diversity at the hillslope scale with a spatial resolution of a few centimeters. This method combines aerial VHSR image classification with local soil sampling. Principal component analysis (PCA) and non-supervised classification was performed on image characteristics to define soil surface characteristic classes (SSC). Then soil surface mapping was combined with soil surface descriptions and soil profiles to define soil types by physical and chemical characteristics. As soil results from parent material alteration, identifying the geological substratum can help to explain the diversity of vineyard soils. The confrontation between soil map and geological map at a 1:10000 scale highlights a good correlation between the geological substratum and soils classes for this hillslope

Discriminating impacts of geomorphological and human factors on vineyard soil erosion (Burgundy, France)

International audienceThe Burgundy vineyards have been recognized for the high diversity of Terroirs, controlled by complex interactions between natural features, historical parameters and soil management practices. Vineyards are known to undergo substantial soil loss in comparison with other types of agricultural land. Hydric erosion on vineyards is controlled by complex interactions of natural and anthropogenic factors leading to intra-plot spatial heterogeneities of topsoil at a scale of a metre. Studying the relationship between soils and their degradation is crucial in this situation where soil sustainability is threatened. This study explores the relative influences of historical and present-day anthropogenic factors and geomorphological processes controlling soil erosion on vineyard hillslopes. The selected area was located in the Monthelie vineyard (Côte de Beaune, France) where intensive erosion occurred during high-intensity rainfall events. Soil erosion quantification was performed at a square-metre scale using dendrogeomorphology. This method is based on the measurement of the unearthing of the stock located on the vine plants, considered as a passive marker of soil-surface vertical displacement since the year of plantation. The obtained maps, together with various complementary datasets, such as geological and geomorphological data, but also historical documents (cadastral plans, cadastral matrices and old aerial photographs) allow landscape evolution to be assessed. The combination of all these data shows that spatial distribution and intensity of erosion are controlled mainly by lithology and slope value. However, our study highlights that the sediment dynamics in this vineyard plot is highly related to historical former plot limits and present-day management practices. Nonetheless, quantification of sediment dynamic for the last decade reveals that the impacts of historical structures are disappearing gradually, in response to present-day management practices and geomorphological factors. Finally, this study shows that it is crucial to take into account the pre-plantation history of vineyard plots in order to increase our understanding of sediment dynamics on vineyard hillslopes

Displacement damage effects due to neutron and proton irradiations on CMOS image sensors manufactured in deep submicron technology

Displacement damage effects due to proton and neutron irradiations of CMOS image sensors dedicated to imaging are presented through the analysis of the dark current behavior in pixel arrays and isolated photodiodes. The mean dark current increase and the dark current nonuniformity are investigated. Dark current histogram observations are compared to damage energy distributions based on GEANT 4 calculations. We also discuss, through annealing analysis, which defects could be responsible for the dark current in CMOS image sensors