Lignes de produits logiciels et usines logicielles

International audienceL'industrie du logiciel tente de produire des systèmes à un rythme toujours plus rapide tout en restant prévisible dans les temps de production et la qualité des systèmes produits. Pour ce faire, beaucoup de nouvelles approches ont été proposées, telles que les lignes de produits logiciels, le développement génératif ou les usines logicielles. Dans le but d'aider les néophytes à s'y retrouver, nous avons regroupé dans cet article quelques notions de bases. Nous présenterons les trois concepts avec leurs principales caractéristiques. Nous les comparerons aussi les un aux autres pour mieux comprendre leurs spécificités. Finalement, nous citerons les outils et nous proposerons quelques références actuelles pour aider les lecteurs intéressés é rechercher plus d'information sur le sujet

Evaluación de posibilidades de procesamiento de imágenes en real-time para sistemas móviles

Este trabajo tiene como propósito realizar un análisis del rendimiento que tienen los teléfonos móviles con sistema operativo Android, con el fin de comparar las capacidades para realizar procesamiento de imágenes en tiempo real. Para esto, se estudiaron las tecnologías de desarrollo NDK y SDK proporcionadas por Google para el diseño e implementación de aplicaciones móviles. También se estudiaron las herramientas usadas en visión por computador para procesamiento de imágenes. Para analizar estas capacidades se realizaron dos tipos de experimentos claves. El primero que mide los tiempos promedio de captura de imágenes y el segundo que mide los tiempos promedios de ejecución de algoritmos de procesamiento de imágenes. En ambos experimentos se utilizó NDK y SDK con los métodos propios de las tecnologías provistas por Google y luego combinándolas con la librería OpenCV.This paper aims to conduct a performance analysis that has mobile phones with Android operating system, to compare the abilities for image processing in real time. This research studied NDK and SDK as development tools provided by Google to design and implement mobile applications. The tools used in computer vision for image processing is also studied. To analyze these capacities it has made two key experiments. The first, that measures the image capture average time and the second that measures run time of the image processing algorithm. Both experiments used NDK and SDK with the methods and tools provided by Google and then both combined with OpenCV

Long-term thermal sensitivity of Earth's tropical forests

The sensitivity of tropical forest carbon to climate is a key uncertainty in predicting global climate change. Although short-term drying and warming are known to affect forests, it is unknown if such effects translate into long-term responses. Here, we analyze 590 permanent plots measured across the tropics to derive the equilibrium climate controls on forest carbon. Maximum temperature is the most important predictor of aboveground biomass (-9.1 megagrams of carbon per hectare per degree Celsius), primarily by reducing woody productivity, and has a greater impact per degrees C in the hottest forests (&gt;32.2 degrees C). Our results nevertheless reveal greater thermal resilience than observations of short-term variation imply. To realize the long-term climate adaptation potential of tropical forests requires both protecting them and stabilizing Earth's climate.</p

The International Linear Collider: Report to Snowmass 2021

The International Linear Collider (ILC) is on the table now as a new global energy-frontier accelerator laboratory taking data in the 2030s. The ILC addresses key questions for our current understanding of particle physics. It is based on a proven accelerator technology. Its experiments will challenge the Standard Model of particle physics and will provide a new window to look beyond it. This document brings the story of the ILC up to date, emphasizing its strong physics motivation, its readiness for construction, and the opportunity it presents to the US and the global particle physics community

NEOTROPICAL CARNIVORES: a data set on carnivore distribution in the Neotropics

Mammalian carnivores are considered a key group in maintaining ecological health and can indicate potential ecological integrity in landscapes where they occur. Carnivores also hold high conservation value and their habitat requirements can guide management and conservation plans. The order Carnivora has 84 species from 8 families in the Neotropical region: Canidae; Felidae; Mephitidae; Mustelidae; Otariidae; Phocidae; Procyonidae; and Ursidae. Herein, we include published and unpublished data on native terrestrial Neotropical carnivores (Canidae; Felidae; Mephitidae; Mustelidae; Procyonidae; and Ursidae). NEOTROPICAL CARNIVORES is a publicly available data set that includes 99,605 data entries from 35,511 unique georeferenced coordinates. Detection/non-detection and quantitative data were obtained from 1818 to 2018 by researchers, governmental agencies, non-governmental organizations, and private consultants. Data were collected using several methods including camera trapping, museum collections, roadkill, line transect, and opportunistic records. Literature (peer-reviewed and grey literature) from Portuguese, Spanish and English were incorporated in this compilation. Most of the data set consists of detection data entries (n = 79,343; 79.7%) but also includes non-detection data (n = 20,262; 20.3%). Of those, 43.3% also include count data (n = 43,151). The information available in NEOTROPICAL CARNIVORES will contribute to macroecological, ecological, and conservation questions in multiple spatio-temporal perspectives. As carnivores play key roles in trophic interactions, a better understanding of their distribution and habitat requirements are essential to establish conservation management plans and safeguard the future ecological health of Neotropical ecosystems. Our data paper, combined with other large-scale data sets, has great potential to clarify species distribution and related ecological processes within the Neotropics. There are no copyright restrictions and no restriction for using data from this data paper, as long as the data paper is cited as the source of the information used. We also request that users inform us of how they intend to use the data