Repository UNSAP (Universitas Sebelas April)
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Injective Classes of Modules
No full textWe study classes of modules over a commutative ring which allow to do homological algebra relative to such a class. We classify those classes consisting of injective modules by certain subsets of ideals. When the ring is Noetherian the subsets are precisely the generization closed subsets of the spectrum of the ring
The Labeling System: A New Approach to Overcome the Vocabulary Bottleneck
No full textShared controlled vocabularies are a prerequisite for collaborative annotation and semantic interchange. The creation and maintenance of such vocabularies is, however, time-consuming and expensive. The diversity of research questions in the humanities makes it virtually impossible to create shared controlled vocabularies that cover a wide range of potential applications and satisfy the needs of diverse stakeholders. In this paper we present a novel conceptual approach for mitigating these problems. We propose that projects define their own vocabularies as needed and link the vocabulary terms to one or more concepts in a reference thesaurus, so that the project-specific term effectively serves as a “label” for a set of shared concepts. We also describe the implementation of this approach in the Labeling System. The Labeling System is a Web application that allows users to easily import concepts or create SKOS vocabularies and link the vocabulary terms to concepts from one or more reference thesauri.DHLA
Potentiel oublié: réinventer la cité jardin d'Aire
No full textDans cette métropole en ébullition, un regard ambitieux embrasse l’histoire en préservant l’héritage des lieux. La première cité-jardin genevoise a dévoilé son potentiel, et dans cette symphonie architecturale, une alternative à la tabula rasa se présente. Une densification qui célèbre l’existant, avec harmonie et logique urbaine, qui répond aux besoins actuels en logements ainsi qu’à une mixité programmatique en intégrant des espaces publics et commerciaux. Une métamorphose s’opère dans les espaces longs et étroits des parcelles étirées, habitats et espaces ouverts se muent en lieux de rencontres où se tissent des liens, dépassant l’individualité. Un souffle de changement, une invitation à réinventer les modes de vie. La cité-jardin se déploie avec une nouvelle dimension émergente qui s'élève vers les cieux faisant face à une forêt majestueuse. L'implantation des édifices se développe en symbiose avec les espaces verts, trois cours, de nature différente, telles des toiles vivantes se dévoilent, chacune racontant une histoire unique. La conservation des vestiges du passé, témoins silencieux du temps qui s'est écoulé, rappelle l’importance de préserver notre héritage architectural. Une pépinière prend racine, symbole qui intègre harmonieusement les préoccupations climatiques dans le tissu urbain. L’empreinte de la campagne se mêle à l’élan urbain, rappelant aux âmes voyageuses que la nature a toujours été complice de notre histoire. Ainsi s’élève une réflexion vers une densification respectueuse, une ode à l’histoire, un hommage à l’âme des lieux, à l’intelligence des générations passées, tout en insufflant une vision nouvelle.TSAMLAB-USAR-DCote: 2023.081MEM.1/2 A4 vertical, MEM.2/2 A4 verticalGroupe de suivi: Graf, Franz (dir. pédagogique) ; Cogato Lanza, Elena (prof.) ; Buache, Thierry (maître EPFL) ; Truwant, Charlotte (expert)Professeur responsable de l'Enoncé: Graf, Franz (ENAC IA TSAM)Enoncé théorique de master: Potentiels oubliés. Bâtiments d'après-guerre et maisons individuelles: témoignage d'une permanence menacée
Developing Transversal Skills and Strengthening Collaborative Blended Learning Activities in Engineering Education: a Pilot Study
No full textThere is an ongoing debate about the fact that educational models of the industrial age are no longer adequate. Future educational models need to provide students with the abilities to solve complex problems as well as to collaborate and interact to generate new meaning and knowledge. In order to do so, teamwork activities should be pedagogically strengthened and technologically augmented in science and engineering education. This paper presents a pilot study implementing a blended learning scenario in a bachelor course at EPFL. In this framework, digital tools are proposed to support collaboration. The tools considered are a learning experience platform, an integrated Tasks Management Application, as well as a collaborative reporting editor. This article also presents our findings on the usability and adoption of those tools, as well as preliminary results on their impact on engagement and teamwork. We also mention the effect of collaborative writing on contributions. Finally, we draw insightful lessons on engagement, the use of learning analytics, and the peer evaluation of teamwork. This paper contributes to science and engineering education by providing new insights on teamwork activities supported by digital tools in blended learning scenarios.SCI-STI-DGAVP-E-LEAR
Stable Video Infinity: Infinite-Length Video Generation with Error Recycling
No full textWe propose Stable Video Infinity (SVI) that can generate non-looping, ultra-long videos with stable visual quality, while supporting per-clip prompt control and multi-modal conditioning. While existing long-video methods attempt to mitigate accumulated errors via handcrafted anti-drifting (e.g., modified noise scheduler, frame anchoring), they remain limited to single-prompt extrapolation, producing homogeneous scenes with repetitive motions. We identify that the fundamental challenge extends beyond error accumulation to a critical discrepancy between the training assumption (seeing clean data) and the test-time autoregressive reality (conditioning on self-generated, error-prone outputs). To bridge this hypothesis gap, SVI incorporates Error-Recycling Fine-Tuning, a new type of efficient training that recycles the Diffusion Transformer (DiT)’s self-generated errors into supervisory prompts, thereby encouraging DiT to actively identify and correct its own errors. This is achieved by injecting, collecting, and banking errors through closed-loop recycling, autoregressively learning from error-injected feedback. Specifically, we (i) inject historical errors made by DiT to intervene on clean inputs, simulating error-accumulated trajectories in flow matching; (ii) efficiently approximate predictions with one-step bidirectional integration and calculate errors with residuals; (iii) dynamically bank errors into replay memory across discretized timesteps, which are resampled for new input. SVI is able to scale videos from seconds to infinite durations with no additional inference cost, while remaining compatible with diverse conditions (e.g., audio, skeleton, and text streams). We evaluate SVI on three benchmarks, including consistent, creative, and conditional settings, thoroughly verifying its versatility and state-of-the-art role.VIT
Drawing in Architecture Education and Research
No full textLucerne Talks, Symposium on Pedagogy in Architecture, Lucerne University of Applied Sciences and Art, SwitzerlandALIC
