Coleção de Trabalhos Apresentados em Eventos
URI permanente para esta coleçãohttps://repositorio.insper.edu.br/handle/11224/3236
Navegar
6 resultados
Resultados da Pesquisa
Trabalho de Evento Using Multi-objective Optimization to Generate Timely Responsive BDI Agents(2022) Stabile Junior, Márcio FernandoA BDI agent’s ability to perform well depends on its reasoning time.If the reasoning is slow, it is possible that the environment has changed and the action selected is no longer optimal by the time the agent has finished to deliberate. This work then builds a BDI architecture using Anytime Algorithms that can control the amount of time used by the agent to reason and act on the environment. I briefly describe the proposed architecture and its implementation in the Jason agent language.Trabalho de Evento Game development learning with PBL approach as a tool to assess computer engineering competences(2023) Freme, Pedro H. E. P; Sanches, Thiago; LUCIANO PEREIRA SOARESThis paper presents strategies for a Game Development course that aims to develop hard and soft skills in computer engineering students. There is a focus on soft skills that are considered essential for success in the 21st-century professional world. The design for this course is based on the Project-Based Learning approach, which allows students to explore different techniques and encourages creativity, while still having clear objectives and pre-defined milestones. The article discusses the use of continuous monitoring, peer assessments, and the Agile project approach to evaluate student progress and ensure that each student experiences different roles in project management.Trabalho de Evento Adapting SCRUM Ceremonies in Undergraduate Capstone Projects(2022) Ziv, Hadar; Kalafatis, Stavros; LUCIANO PEREIRA SOARES; Prikladnicki, RafaelTrabalho de Evento Pair Teaching in Computer Graphics(2022) LUCIANO PEREIRA SOARES; FABIO ORFALIComputer Graphics is a course commonly found on Computer Science and Computer Engineering undergraduate programs. There are some convenient points on teaching computer graphics in these programs: Computer-Generated Imagery in movies and videogames are relevant examples of applied engineering and science that students experience in their lives, and this can be a potential motivation factor for students to get engaged on learning; furthermore, Computer Graphics relies on several fundamental and complex mathematical concepts, that can also be applied in other science areas, being an opportune moment to cover and practice mathematical learning goals, all connected with a base on computer science. Learning Computer Graphics depends on developing and integrating skills on computer science and mathematics, therefore, a learning plan must cover both topics. However, it must be considered that students need to relate these topics, and this is the trick, since ideally professors need the knowledge and pedagogy in both areas. The strategy presented in this document was based on two professors, one mathematician and one computer engineering, planning, and teaching an elective undergraduate course on Computer Graphics. The course was based on active learning strategies by design, heavily focused on Project Based Learning through three projects starting from scratch, each week learning and implementing new features on the projects. Students must program in regular programming languages like Python, C++ and Javascript, and build up their competence in mathematics from basic math concepts. As a result, students were able to develop a scanline renderer, and a ray-tracing renderer without any graphical Application Programming Interface and finally a 3D web application based on ThreeJS. Although students had a perception of a demanding course, they were engaged on proposed activities during all semester, and were able to implement all important features on projects, often above expectation, showing evidence that learning objectives were achieved.Trabalho de Evento Unsupervised Improvement of Audio-Text Cross-Modal Representations(2023) Wang, Zhepei; Subakan, Cem; Subramani, Krishna; Wu, Junkai; TIAGO FERNANDES TAVARES; FABIO JOSE AYRES; Smaragdis, ParisRecent advances in using language models to obtain cross-modal audio-text representations have overcome the limitations of conventional training approaches that use predefined labels. This has allowed the community to make progress in tasks like zero-shot classification, which would otherwise not be possible. However, learning such representations requires a large amount of human-annotated audio-text pairs. In this paper, we study unsupervised approaches to improve the learning framework of such representations with unpaired text and audio. We explore domain-unspecific and domain-specific curation methods to create audio-text pairs that we use to further improve the model. We also show that when domain-specific curation is used in conjunction with a soft-labeled contrastive loss, we are able to obtain significant improvement in terms of zero-shot classification performance on downstream sound event classification or acoustic scene classification tasks.Trabalho de Evento Cybersecurity Monitoring/Mapping of USA Healthcare (All Hospitals) - Magnified Vulnerability due to Shared IT Infrastructure, Market Concentration, & Geographical Distribution(2024) Yurcik, William; Schick, Andreas; North, Stephen; Gastner, Michael T.; FABIO ROBERTO DE MIRANDA; RODOLFO DA SILVA AVELINO; ANDRE FILIPE DE MORAES BATISTA; Pluta, Gregory; Brooks, IanIn October 2024, there are two defining characteristics of a healthcare provider: (1) geographic location and services available at their physical structure and (2) Internet connectivity and services available via their virtual presence. For previous centuries we focused on the first defining characteristic and now we need to shift to understand and address issues that may arise from the new second defining characteristic. In this paper we address issues related to Internet connectivity and virtual presence of USA healthcare providers, especially hospitals, when ransomware cyberattacks resulting in service outages occur. We show the cybersecurity posture of a large critical national infrastructure (USA healthcare) can be measured, mapped, and quantitatively baselined. Empirical results reveal systemic issues in USA healthcare presenting "magnified vulnerabilities" in that a single exploit can have an outsized impact on an entire nationwide infrastructure. As the initial step toward addressing this issue, we document for the first time the magnified cybersecurity vulnerability of USA healthcare to shared IT infrastructure, market concentration, and the geographical distribution of hospitals.