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Booktubers e a ostentação virtual de suas bibliotecas: uma análise discursiva do orgulho de ser leitor
(Universidade Federal de São Carlos, 2022-10-06) Marins, Lara Martelini; Ferreira, Luzmara Curcino; https://lattes.cnpq.br/4849994635754652; https://lattes.cnpq.br/6592164326303004
In this TCC, we are dedicated to the analysis of certain current practices, specifically to internet users, known as booktubers, who record on video, on their YouTube channels, their reading habits and opinions about books. Among the long practices, one of them consists of a tour of sample books through their personal libraries, to which they present their books, explain how they are organized, how programs for these readings, how they acquire these titles, which are their favorites, as well as other books, like yours, decorate their symbols of reading culture and communities. This practice is known among them as bookshelf tour. It interests us as an object of analysis insofar as it indicates discourses about reading in vogue among us and represents the updating, in practices, of discourses. The apprehension of these discourses and the description of their functioning is the common object/objective of the research carried out at LIRE – Laboratory of Reading Studies (CNPq-UFSCar), coordinated by Profa Luzmara Curcino. Under her guidance, and in accordance with the research project she is currently conducting, entitled “Proud readers, ashamed readers: emotions in reading discourses”, our main objective is to reflect on the forms of expression of “pride” that make up the discourses on reading, as manifested in these videos presenting the personal libraries of booktubers. These tours through the shelves with printed books are related to historical practices, such as literary collecting, and update, through the digital media available today, certain practices marked by the “pride” of the reader condition, through self-representation as someone who reads a lot and always, that they have many books, printed and fictional above all, and that they feel sufficiently authorized to talk about the plot of these books, issue evaluative opinions about the works and their authors, express themselves about the practice of reading and recommend it to their followers. In these self-representations, a series of consensual, socioculturally validated, long-standing discourses about this practice are mobilized. Our data collection and analysis sought to describe certain discursive forms of updating this “pride” in relation to reading. To this end, our analysis was theoretically and methodologically supported by principles of Discourse Analysis and Cultural History of Reading, as well as studies carried out by LIRE researchers on the profile of Brazilian readers, especially in their recent research, in which they address the emotions related to discourses about reading.
Avaliação de quatro algoritmos de trilateração baseados em RSSI considerando a variação do número de nós fixos
(Universidade Federal de São Carlos, 2022-10-06) Ohashi, Felipe Tetsuo; Fontes, João Vitor de Carvalho; https://lattes.cnpq.br/9473668144091435
Unmanned Aerial Vehicles (UAVs) are machines of great importance these days, as they are no longer a resource that was previously limited to military use but are beginning to exist in the everyday life of society. This change is due to the advancement of technology and the prevalence of his IoT (Internet of Things), where devices are becoming more and more connected. The use of drones for tracking has a variety of applications that exist in fields such as military, agriculture, and government. RSSI is one of the most popular distance estimation techniques, notable for its wide use in traditional wireless technologies and its presence in highly available and easy acquisition devices. The current work proposes a simulation using the RSSI, Received Signal Strength Indicator, method using four different trilateration algorithms to determine the number of anchor nodes from which signals are generated to determine the desired position. Check precision and accuracy in different scenarios. Heatmaps were generated for each trilateration method using MATLAB software to obtain the behavior of the parameters selected for qualitative analysis of the results. Using the data generated by the simulations, mean errors and standard deviations medium values were calculated to allow a general assessment of the algorithm's performance. Comparing the extracted results allowed the identification the strengths and weaknesses of each method applied to RSSI, opening the possibility of using any one of the four algorithms in certain scenarios, although the presented It does not obviate the need to empirically verify the performances presented. From the three chosen parameters, it was possible to estimate IoT applications in which each triangulation method would have a better performance. Assuming, for example, situations in which there would be a need for greater accuracy for an application in drone location or a scenario where the position processing was crucial.