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The Tapis Streams API is a production grade quality service that provides REST APIs for storing, processing and analyzing real-time streaming data. This paper focuses on improvements made to Tapis 1.0 Streams API for making it up-to-date and easily accessible. The newer version, Tapis 1.2 Streams API adopts the latest version of InfluxDB, InfluxDB 2.X, which has built-in security features and supports next generation data analytics and processing with a data processing language Flux. This paper also discusses the measures implemented in the Tapis 1.2 Streams API to mitigate potential security risks involved in unauthorized data stream access by users who do not own it. Additionally, new data Channel Actions supporting 3rd Party notification and web-hooks has been released. Lastly a tool, Tapis UI, which is a self contained server less application to access Tapis Services via rest calls is discussed in the paper. Tapis UI is a lightweight browser only client application which allows interactive access to Streams resources and real-time streaming data.

The goal of a robust cyberinfrastructure (CI) ecosystem is to catalyse discovery and innovation. Tapis does this through offering a sustainable production-quality set of API services to support modern science and engineering research, which increasingly span geographically distributed data centers, instruments, experimental facilities, and a network of national and regional CI. Leveraging frameworks, such as Tapis, enables researchers to accomplish computational and data-intensive research in a secure, scalable, and reproducible way and allows them to focus on their research instead of the technology needed to accomplish it. This project aims to enable the integration of the Google Cloud Platform (GCP) and CloudyCluster resources into Tapis- supported science gateways to provide on-demand scaling needed by computational workflows. The new functionality uses Tapis event-driven Abaco Actors and CloudyCluster to create an elastic distributed cloud computing system on demand. This integration allows researchers and science gateways to augment cloud resources on top of existing local and national computing resources.

Tapis is a hosted, multi-tenant, RESTful API framework for distributed computational research, providing support for data management and code execution across institutional boundaries. Using Tapis APIs, a user can program portable, reproducible workflows that leverage sensors, instruments, experimental facilities and a network of national and regional cyberinfrastructure. Tapis builds on NSF investments into the Abaco, Agave, and CHORDs projects to provide a production-grade framework for use across a wide range of domains of science and engineering. Including support for streaming/sensor data, portable, reproducible workflows leveraging containerized applications, and a novel, decentralized security kernel, Tapis will be the underlying cyberinfrastructure for modern research., Funded by NSF #1931439 and #1931575.

This tutorial will focus on providing attendees exposure to state-of-the-art techniques for portable, reproducible research computing, enabling them to easily transport analyses from cloud to HPC resources, share computations with collaborators and disseminate final results to communities of interest. We will introduce various open source technologies, including Jupyter, Docker and Singularity, and show how to utilize these tools within the NSF-funded Tapis v3 platform, an Application Program Interface (API) for distributed computation. After a brief introduction to the open source technologies above, this tutorial will be focused on hands-on exercises in which the attendees will build a portable analysis that can be seamlessly moved to different execution environments, including a small virtual machine and a national-scale supercomputer. Using techniques covered in the tutorial, attendees will also be able to easily share their results with one or more additional users. The tutorial will make use of a specific machine learning image classifier analysis to illustrate the concepts, but the techniques introduced can be applied to a broad class of analyses in virtually any domain of science or engineering. Description and Format: TACC training accounts will be set up for all registered attendees, which will have access to allocations on XSEDE cloud systems and one or more HPC resources such as TACC’s Stampede2 or Frontera. The tutorials will be hands-on exercises, where the attendees will interact with the Tapis v3 services within a Jupyter notebook. Registered attendees will be notified with their account details closer to the tutorial date. All the course materials will be published on github pages so the attendees will have access to them during and after the tutorial. We will have enough proctors throughout the session, who will help attendees through slack or breakout sessions. Proposed tutorial schedule is as shown in Table 1. Learning Outcomes: In this tutorial, attendees will gain an understanding of the concepts of using container technology (Docker, Singularity) for portable analysis, programmatically executing analyses in both Cloud and HPC environments using an API, interacting with and visualizing the results in Jupyter notebooks and sharing results with collaborators. By the end of this workshop attendees will be able to: • Have a basic understanding of Docker and Singularity containers in relation to computational research. • Use Tapis to access HPC storage and compute resources in a programmatic and reproducible way. • Utilize Jupyter notebooks for interactive computing. • Use Tapis to share results with others. Content Level and Length: Beginner 70%, Intermediate 30% 3 hours. Audience Prerequisites: Basic familiarity with Jupyter notebooks and Python will be helpful. Attendees must use their own laptop for the hands-on part of the tutorial.

The DesignSafe [1] portal is a web-based application created to facilitate researchers in the natural hazards community, providing data storage, computational resources, and publication pipelines to its users. With partners such as the RAPID response field reconnaissance teams who collect data immediately after a disaster event, the geospatial component of the data is essential information needed in subsequent analysis. Storing, searching, and visualizing this geospatial information has subsequently become a need for the DesignSafe and natural hazards community. A typical field reconnaissance mission can generate many gigabytes of geotagged images, videos and point cloud datasets. To integrate these data with the DesignSafe platform, we have developed a new set of RESTful APIs and a single page application to store, query and visualize these datasets. As one of the requirements for these tools is tight integration with the existing DesignSafe platform, which is built using Tapis [2] APIs, we have implemented the GeoAPI as a separate microservice in the Tapis v2 platform. This design allows us to easily utilize the existing data storage and user management tools built into DesignSafe. Users can access their existing data that is shared with their colleagues and already stored on the DesignSafe platform. Similarly, by utilizing the authentication services in Tapis, users can access these services with a single account. The backend has been developed using Python and the Flask framework. Application data is stored in a Postgres database with the PostGIS extension providing geospatial indexing. We have leveraged open-source libraries in the application such as GDAL, PDAL, Laspy, GeoPandas, and Shapely. Reconnaissance teams often use Lidar to collect point cloud data of structures damaged during a natural hazard event. These datasets alone can grow to many hundreds of GB and require additional processing. We use Celery to asynchronously process these data with Potree [3] to visualize them in the browser. Static assets such as images and videos are saved into a Ceph filesystem and are served directly by a Nginx proxy for performance. Maps can be automatically generated from data already in DesignSafe and asynchronously updated when new data is added to the storage system. The application is deployed into a Kubernetes cluster at TACC. A general architecture diagram is shown in figure 1. To visualize these datasets, we have created Hazmapper 2.0, a single page web application. This application was written in TypeScript using the Angular framework and Leaflet libraries. Additionally, we use an auto generated client library Ng-Tapis [4] to interact with the Tapis APIs. By doing so, we can utilize the API directly from the browser without the need for a separate backend application. External map tiles can be imported through a searchable interface using QuickMapServices (QMS) APIs [5]. The decoupled backend architecture allows us to have multiple user interfaces that are specialized for different end-user needs. One such example is the Taggit [6] application from Designsafe researchers. Separate from Hazmapper, this application allows for tagging and classification of georeferenced images.

Genre en Méditerranée. Les femmes face aux transformations socio-économiques. Conflits, négociations et émergence de nouveaux rapports sociaux. Ecole doctorale, 21-24 avril 2008, Rabat, Maroc Organisé dans le cadre de l’axe Gender Action du réseau d’excellence Ramss², par le groupe de recherches FEMMAGH avec : le Centre Jacques Berque (Rabat), le LAMES (Laboratoire Méditerranéen de Sociologie, Aix-en-Provence), le CM2S (Centre Marocain des Sciences Sociales, Université Hassan II, Casablanca), le GREGaM (Groupe de recherches et d’études sur le genre au Maroc, GJC, Casablanca) et l’Université Paris 7 – Denis Diderot ; Avec le soutien : de l’ANR (Agence Nationale de la Recherche), du réseau d’excellence des centres de recherche en sciences humaines sur la Méditerranée (Ramsèsk, MMSH, Aix-en-Provence) ; du CESEM (Centre d’études sociologiques, économiques et manageuriales, HEM, Rabat), de la Fondation Friedrich Ebert (Rabat), du programme Fullbright de l’ambassade des Etats Unis au Maroc (Public Affairs Section, Rabat) et du GCJ (Groupe des Jeunes chercheurs en sciences sociales, Casablanca)., Documents de travail, Ramses-papers_0-042, Ramses Papers, Aix-en-Provence

Pada tulisan ini disampaikan hasil pengukuransistemPhase Locked Loop (PLL) menggunakan IC CD4046, dengan menggunakan dua macam tapis yaitu tapis lolos bawah (LPF)orde satu dan orde dua. Pengukuran yang dilakukan meliputi nilai frekuensi frekuensi maksimum dan minimum VCO(Voltage Controlled Oscillator), lock range, capture range danpengaruh frekuensi penggal LPF terhadap karakteristikPLL. Hasil pengujian menunjukkan frekuensi penggal tapis yang makin besar cenderung memperbesar nilai capture range, sedangkan lock range tetap.

International audience; Over recent decades various studies have permitted a reassessment of the role of textile metaphors and analogies in the development of architecture from the mid-nineteenth century to the 1930s. This historiographic renewal, which relates to the considerable expansion of creative use of textiles in contemporary architecture, is part of the current revival of interest in ornament and has notably benefited from various analyses of the writings of Gottfried Semper, published in the wake of their translation for non-German-speaking readers. This article considers Semper’s seminal work and its immediate echoes before providing an overview of recent studies that have reconsidered the place of textile references in architectural theory and practice around 1900. Two main areas of investigation have emerged. The first concerns the productiveness for modern architecture of ideas on the possible textile origins of internal partitioning and the development of covering materials and designs in the light of different interpretations of Semper’s notion of dressing (Bekleidung). The second explores the parallels between dress and buildings, notably dwellings. The involvement of architects in the design and critique of garments and their analyses of fashion as both culture of appearances and socioeconomic process appear as particularly interesting prisms through which to view architectural debates at the dawn of the avant-garde movements.; Ces dernières décennies, un ensemble important de publications ont réévalué le rôle des métaphores et analogies textiles dans les évolutions de l'architecture entre XIX e et XX e siècles. L'expansion considérable de l'imaginaire textile dans l'architecture contemporaine comme dans les discours qui l'accompagnent interagit avec ce renouveau de l'historiographie. En témoignent plusieurs numéros spéciaux de revues – « Coating » (Rassegna, 1998), « Textiles » (Archithese, 2000), « Architextiles » (Architectural Design, 2006) – qui, tout en offrant un panorama de projets et de réalisations, tentent de les inscrire dans une généalogie conceptuelle et rejoignent à ce titre certaines problématiques des recherches historiques. En observant cette littérature architecturale récente, on peut apprécier le caractère multiforme des références à l'univers du tissu et du vêtement. Bien au-delà de l'utilisation littérale de matériaux souples, toiles tendues et membranes, se dessine un vaste champ d'expérimentations où les figures flexibles et entrelacées contaminent la conception des édifices. Ossatures, façades et enveloppes déclinent des motifs de mailles, tressages, dentelles et autres enchevêtrements, témoignant des potentialités nouvelles quant à la mise en forme, à l'ère numérique, de matériaux aux propriétés hybrides. Parce qu'elle renvoie également aux processus de fabrication, l'activité textile est emblématique d'une création tout à la fois ancrée dans des traditions culturelles anciennes et soumise aux techniques de production les plus contemporaines. Elle nourrit de ce fait des interrogations critiques sur la dimension anthropologique d'une conception architecturale dont le rapport à la matérialité s'est profondément modifié, au moment même où s'opérait le « tournant matériel » dans les sciences humaines et sociales. Enfin, d'autres parentés entre édifice et vêtement sont réactivées par les connivences entre l'architecture et l'univers de la mode, à l'heure où les