8,840 research outputs found
Economia colaborativa
A importĂąncia de se proceder Ă anĂĄlise dos principais desafios jurĂdicos que a economia colaborativa coloca â pelas implicaçÔes que as mudanças de paradigma dos modelos de negĂłcios e dos sujeitos envolvidos suscitam â Ă© indiscutĂvel, correspondendo Ă necessidade de se fomentar a segurança jurĂdica destas prĂĄticas, potenciadoras de crescimento econĂłmico e bem-estar social.
O Centro de Investigação em Justiça e Governação (JusGov) constituiu uma equipa multidisciplinar que, alĂ©m de juristas, integra investigadores de outras ĂĄreas, como a economia e a gestĂŁo, dos vĂĄrios grupos do JusGov â embora com especial participação dos investigadores que integram o grupo E-TEC (Estado, Empresa e Tecnologia) â e de outras prestigiadas instituiçÔes nacionais e internacionais, para desenvolver um projeto neste domĂnio, com o objetivo de identificar os problemas jurĂdicos que a economia colaborativa suscita e avaliar se jĂĄ existem soluçÔes para aqueles, refletindo igualmente sobre a conveniĂȘncia de serem introduzidas alteraçÔes ou se serĂĄ mesmo necessĂĄrio criar nova regulamentação.
O resultado desta investigação Ă© apresentado nesta obra, com o que se pretende fomentar a continuação do debate sobre este tema.Esta obra Ă© financiada por fundos nacionais atravĂ©s da FCT â Fundação para a CiĂȘncia e a Tecnologia, I.P., no Ăąmbito do Financiamento UID/05749/202
Data-to-text generation with neural planning
In this thesis, we consider the task of data-to-text generation, which takes non-linguistic
structures as input and produces textual output. The inputs can take the form of
database tables, spreadsheets, charts, and so on. The main application of data-to-text
generation is to present information in a textual format which makes it accessible to
a layperson who may otherwise find it problematic to understand numerical figures.
The task can also automate routine document generation jobs, thus improving human
efficiency. We focus on generating long-form text, i.e., documents with multiple paragraphs. Recent approaches to data-to-text generation have adopted the very successful
encoder-decoder architecture or its variants. These models generate fluent (but often
imprecise) text and perform quite poorly at selecting appropriate content and ordering
it coherently. This thesis focuses on overcoming these issues by integrating content
planning with neural models. We hypothesize data-to-text generation will benefit from
explicit planning, which manifests itself in (a) micro planning, (b) latent entity planning, and (c) macro planning. Throughout this thesis, we assume the input to our
generator are tables (with records) in the sports domain. And the output are summaries
describing what happened in the game (e.g., who won/lost, ..., scored, etc.).
We first describe our work on integrating fine-grained or micro plans with data-to-text generation. As part of this, we generate a micro plan highlighting which records
should be mentioned and in which order, and then generate the document while taking
the micro plan into account.
We then show how data-to-text generation can benefit from higher level latent entity planning. Here, we make use of entity-specific representations which are dynam ically updated. The text is generated conditioned on entity representations and the
records corresponding to the entities by using hierarchical attention at each time step.
We then combine planning with the high level organization of entities, events, and
their interactions. Such coarse-grained macro plans are learnt from data and given
as input to the generator. Finally, we present work on making macro plans latent
while incrementally generating a document paragraph by paragraph. We infer latent
plans sequentially with a structured variational model while interleaving the steps of
planning and generation. Text is generated by conditioning on previous variational
decisions and previously generated text.
Overall our results show that planning makes data-to-text generation more interpretable, improves the factuality and coherence of the generated documents and re duces redundancy in the output document
Adaawgm Tsâmsyen int suwilaayâmagm: Teachings from our Tsâmsyen narratives
Abstract For Indigenous communities everywhere, the passing of valued Knowledge Holders is resulting in the loss of history, language and culture on a daily basis. This is the case for our Tsâmsyen Nation. In our Tsâmsyen territories on the Northwest Coast of British Columbia, our Smâalgyax language is taught in three of our surrounding Tsâmsyen community schools and in all the schools within the Prince Rupert School District (SD #52) through the Indigenous Education Department. Over the last ten years, we have lost many of our programâs Tsâmsyen Knowledge Holders and team-teachers. It is therefore a critical time to support the learning of our younger Smâalgyax team members, who work with our Smâalgyax program. Our Tsâmsyen language strongly connects us to our territory, to each other, and to our environment â plants, animals, lands and waterways. The foundational teachings of who we are as Tsâmsyen Peoples are embedded in our Smâalgyax language and in our traditional Tsâmsyen adaawx (traditional narratives), as well as in the lived experience of our Tsâmsyen Knowledge Holders. The purpose of this Tsâmsyen inquiry was to bring our Smâalgyax language team together with our Tsâmsyen Knowledge Holders to develop a relationship with and an understanding of selected Tsâmsyen adaawx (traditional narratives), in the hope of developing the teamâs understanding of our Tsâmsyen history, language and culture. We drew on the knowledge embedded in our traditional Tsâmsyen adaawx and our Smâalgyax language as well as from the lived experience of our knowledge Holders. We used our âWila Loom Tsâmsyenâ (Tsâmsyen ways of being) to guide our theoretical inquiry and methodological process. I drew on the processes and protocols of our Tsâmsyen Feast planning process and ceremony to guide and frame our learning journey. It was critical that we followed our Tsâmsyen protocols while working with our traditional knowledge. Throughout our adaawx inquiry we identified key Tsâmsyen pedagogical principles of teaching and learning. We are confident that the teachings embedded in our Tsâmsyen adaawx and in our Smâalgyax language, as well as in the teachings shared by our Knowledge Holders, are critical to knowing who we are and where we come from as Tsâmsyen. We believe that these teachings will serve as the foundation of our Smâalgyax program
The Adirondack Chronology
The Adirondack Chronology is intended to be a useful resource for researchers and others interested in the Adirondacks and Adirondack history.https://digitalworks.union.edu/arlpublications/1000/thumbnail.jp
Mixed Criticality on Multi-cores Accounting for Resource Stress and Resource Sensitivity
The most significant trend in real-time systems design in recent years has been the adoption of multi-core processors and the accompanying integration of functionality with different criticality levels onto the same hardware platform. This paper integrates mixed criticality aspects and assurances within a multi-core system model. It bounds cross-core contention and interference by considering the impact on task execution times due to the stress on shared hardware resources caused by co-runners, and each taskâs sensitivity to that resource stress. Schedulability analysis is derived for four mixed criticality scheduling schemes based on partitioned fixed priority preemptive scheduling. Each scheme provides robust timing guarantees for high criticality tasks, ensuring that their timing constraints cannot be jeopardized by the behavior or misbehavior of low criticality tasks
Full stack development toward a trapped ion logical qubit
Quantum error correction is a key step toward the construction of a large-scale quantum computer, by preventing small infidelities in quantum gates from accumulating over the course of an algorithm. Detecting and correcting errors is achieved by using multiple physical qubits to form a smaller number of robust logical
qubits. The physical implementation of a logical qubit requires multiple qubits, on which high fidelity gates
can be performed.
The project aims to realize a logical qubit based on ions confined on a microfabricated surface trap. Each
physical qubit will be a microwave dressed state qubit based on 171Yb+ ions. Gates are intended to be realized through RF and microwave radiation in combination with magnetic field gradients. The project vertically integrates software down to hardware compilation layers in order to deliver, in the near future, a fully functional small device demonstrator.
This thesis presents novel results on multiple layers of a full stack quantum computer model. On the hardware level a robust quantum gate is studied and ion displacement over the X-junction geometry is demonstrated.
The experimental organization is optimized through automation and compressed waveform data transmission. A new quantum assembly language purely dedicated to trapped ion quantum computers is introduced. The demonstrator is aimed at testing implementation of quantum error correction codes while preparing for larger
scale iterations.Open Acces
Mixed Criticality Systems - A Review : (13th Edition, February 2022)
This review covers research on the topic of mixed criticality systems that has been published since Vestalâs 2007 paper. It covers the period up to end of 2021. The review is organised into the following topics: introduction and motivation, models, single processor analysis (including job-based, hard and soft tasks, fixed priority and EDF scheduling, shared resources and static and synchronous scheduling), multiprocessor analysis, related topics, realistic models, formal treatments, systems issues, industrial practice and research beyond mixed-criticality. A list of PhDs awarded for research relating to mixed-criticality systems is also included
A Framework for Multi-core Schedulability Analysis Accounting for Resource Stress and Sensitivity
Timing verification of multi-core systems is complicated by contention for shared hardware resources between co-running tasks on different cores. This paper introduces the Multi-core Resource Stress and Sensitivity (MRSS) task model that characterizes how much stress each task places on resources and how much it is sensitive to such resource stress. This model facilitates a separation of concerns, thus retaining the advantages of the traditional two-step approach to timing verification (i.e. timing analysis followed by schedulability analysis). Response time analysis is derived for the MRSS task model, providing efficient context-dependent and context independent schedulability tests for both fixed priority preemptive and fixed priority non-preemptive scheduling. Dominance relations are derived between the tests, along with complexity results, and proofs of optimal priority assignment policies. The MRSS task model is underpinned by a proof-of-concept industrial case study. The problem of task allocation is considered in the context of the MRSS task model, with Simulated Annealing shown to provide an effective solution
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