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Terapia Ocupacional e Cultura quais caminhos estamos trilhando?
(Universidade Federal de São Carlos, 2021-12-06) Molina, Amanda Mendes; Silva, Carla Regina; https://lattes.cnpq.br/6417501858864106; https://lattes.cnpq.br/1853949547859614
Occupational therapy has expanded it’s expertise’s areas, practices, groups and population to beyond the core health. It’s relation with the culture runs through dimensions, practices, fields and other interfaces, and also perspectives, ethics and other constructions that sustain this interrelation. This research project has as it’s central teme the field of Occupational Therapy and Culture and it’s interfaces, seeking to identify some practices that occupational therapists have been developing on this interface in Brazil. Methodology: From ten interviews with 14 professionals graduated in Occupational Therapy who focus on their area of expertise or study/research Occupational Therapy and Culture interface and are linked to the research group Human Activities and Occupational Therapy (Atividades Humanas e Terapia Ocupacional - AHTO), registered with the National Council Scientific and Technological Development (Conselho Nacional de Desenvolvimento Científico e Tecológico - CNPQ), it was possible to identify key points to deepen the discussion on Occupational Therapy and Culture. Results: From data collected from the interviews, we investigated examples of practice; concepts, definitions and specifics; challenges and difficulties; potentials. Through this study, it was possible to identify that occupational therapists are engaged in the construction of the field of Culture in Occupational Therapy as well as in the construction of knowledge and implementation of practices.
Desafios e soluções de controle e estabilização de robôs bípedes
(Universidade Federal de São Carlos, 2021-12-06) Catulé, Antônio Pedro de Freitas Barbosa; Fontes, João Vitor de Carvalho; https://lattes.cnpq.br/9473668144091435; https://lattes.cnpq.br/9567069968129829
The use of robots in the human being's daily life has been more and more frequent, whether in the performance of household chores or in the execution of tasks that involve risks. Thus, there is a constant need to search for new possibilities and technologies that provide the realization of such activities. Among the countless fields of research, biped robots are one of the most studied, with the problem of stability being one of the most common. The work aims to carry out a literature review regarding the constructive and control aspects of bipedal robots, in addition to the analysis of the advantages and disadvantages of elements that characterize the development and operationalization of movements, in order to propose improvements in the robot being developed by Department of Mechanical Engineering at UFSCar. Thus, it is concluded that despite being a wide field of study and in constant evolution, it brings as propositions the addition of more degrees of freedom, force sensors and tail removal for the implementation of the biped robot, thus enabling constructive methods and more efficient mobility than those currently used.
Luz, câmera e likes: o trabalho dos youtubers nas mídias digitais
(Universidade Federal de São Carlos, 2021-12-06) Denari, Giulianna Bueno; Lima, Jacob Carlos; https://lattes.cnpq.br/9244132532446607; https://lattes.cnpq.br/3350689550400145; https://orcid.org/0000-0002-2714-1642
This thesis aims to comprehend the work processes of content creators for digital platforms, known as YouTubers. The study of digital labor brings forth new possibilities for understanding occupational dynamics and interactions among workers, large companies, and users. Regulations stemming from algorithms, the assignment of responsibilities to workers in managing their time, space, type, and volume of work, complicate the discourses surrounding personal entrepreneurship. YouTube is a digital platform that offers resources for users to create and share video content. For companies, the platform sells advertising space and, primarily, the potential for reach through a massive audience. The central innovation of YouTube lies in the customization of consumed content. Moreover, users themselves not only consume but also create and share content on the platform, enabling deeper identification with their influencers. The guidelines set by the platform dictate the rhythms and work processes, demanding continuous adaptation from YouTubers to ensure the profitability of their endeavors. The work process of YouTubers transcends mere video elaboration and recording; it also involves forming partnerships, bureaucratic management, and the pursuit of expanding their image. With growth in numbers and relevance, YouTubers evolve into a sort of brand, needing to establish connections with other brands through partnerships. The optimistic view of an unpretentious and enjoyable occupation is questioned in the face of exhaustion that arises from the constant pursuit of staying "on top." The research development occurred in two stages and employed a variety of resources. Through online contacts, semi-structured interviews were conducted with YouTubers. Simultaneously, four channels were selected for systematic monitoring of all content produced by and about them. The records were documented in a field notebook, allowing for a reconstruction of their work trajectories. Additionally, secondary quantitative data on income and audience projection were used to comprehend the dynamics outlined by algorithms. The research hypothesizes the fundamental role that YouTubers play in redefining the dynamics of work in digital platforms. YouTubers can be understood as self-entrepreneurs; however, this presumed autonomy is influenced by the actions of the platform's algorithms and the complexity of the digital market. Through this investigation, we aim to examine how YouTubers navigate a landscape marked by dualities and how their practices both shape and are shaped by them. Our research seeks to contribute to a broader understanding of contemporary transformations in the world of work.
Uma abordagem baseada em árvores de decisão para a análise da estabilidade angular do rotor
(Universidade Federal de São Carlos, 2021-12-06) Cunha, Guilherme Luiz da; Fernandes, Ricardo Augusto Souza; https://lattes.cnpq.br/0880243208789454; Fernandes, Tatiane Cristina da Costa; https://lattes.cnpq.br/2590102586758022; https://lattes.cnpq.br/5528344478028576
The power system security assessment is essential to ensure the supply of electrical energy and the feasibility of the operation. Among these analyses, the study of the rotor angle stability aims to ensure that the electromechanical modes of the system are well damped and, for that, it is common that the methods employed make use of mathematical models of the electric power system. However, the dependence on mathematical models, potentially, makes the evaluation methods sensitive to variations in parameters and changes in the network that have not been adequately represented, mainly in realtime applications. Currently, Smart Grids proposes to offer greater monitoring capacity and sample rates that allow real-time analysis. Concomitantly, the advances in distributed and cloud computing have encouraged the use of machine learning techniques to solve various problems using the massive amount of data available. In this sense, this work proposes to make use of the measurements made available by phasor measurement units to evaluate the feasibility of using decision trees in the analysis of the rotor angle stability. For stability analysis at small disturbances, a decentralized approach based on individual decision trees and data from phasor measurement units allocated in the generator buses is applied. In this approach, each decision tree uses only local measurements to evaluate the rotor angle small-signal stability, in this way, the classification can be carried out even when there is loss of information from specific generators or failure in the communication system. When the system is subjected to a large disturbance, a second method is employed, which is based on a centralized decision tree and voltage phasors measured at generator buses from the whole studied system. This last classifier is able to identify instability in the response post fault portion of the system, establishing a trade-off between the number of measurement cycles used and the classifier performance. The results obtained on the IEEE 68-buses system showed the efficiency of the proposed approach. In the classification of small-signal stability, an accuracy of 93% is reached by the distributed trees even in scenarios with contingencies and load variations. About large disturbances was possible to classify with precision the transient stability even with only 1 measurement cycle (96.4%) and with only 3 measurement points along the test system.