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URI permanente desta comunidadehttps://repositorio.insper.edu.br/handle/11224/3235

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Study of The Concept of Diesel and Ethanol Dual-Fuel in a SIngle-Cylinder Research Engine
(2024) Dias, Fábio Jairo; Lacava, Pedro Teixeira; Oliveira, Enrico Rapetti Malheiro de; Argachoy, Celso
This study examines the concept of dual-fuel combustion, and focuses in particular on the combination of diesel and ethanol in a compression ignition engine. Ethanol, as a renewable fuel source, plays a fundamental role in reducing dependence on fossil fuels and reducing greenhouse gas emissions. In the test setup ethanol is injected into the intake manifold (Port-Fuel Injection, PFI), while diesel is injected directly into the combustion chamber (Direct Injection, DI). The engine under investigation is a single-cylinder research engine designed to run on two fuels. In this configuration, diesel acts as the ignition fuel, which stimulates the ignition of the ethanol-air mixture. The aim of this study was to analyze the highest rate of substitution of diesel by ethanol while reducing engine load. In the method used the engine was first operated with diesel and ethanol. Subsequently, the ethanol injection was stopped, which led to a decrease in engine load. In order to correct the engine performance and achieve the same load again, the mass of the injected diesel had to be increased. This method has shown that it is possible to achieve the same workload with an ethanol fraction as with diesel alone.. In terms of thermodynamic and emission results, substituting a fraction of diesel with an equivalent amount of ethanol to achieve the same IMEP (Indicated Mean Effective Pressure) is a viable alternative. In addition the presence of ethanol was found to retard combustion compared to running on 100% diesel. The emission results show that dual-fuel operation keeps soot levels close to those achieved when running on diesel alone.
Extended Reality System for Robotic Learning from Human Demonstration
(2025) Ngui, Isaac; McBeth, Courtney; He, Grace; Santos, André Corrêa; Morales, Marco; LUCIANO PEREIRA SOARES; Amato, Nancy M.
Many real-world tasks are intuitive for a human to perform, but difficult to encode algorithmically when utilizing a robot to perform the tasks. In these scenarios, robotic systems can benefit from expert demonstrations, wherein human operators physically move the robot along trajectories, to learn how to perform each task. In many settings, it may be difficult or unsafe to use a physical robot to provide these demonstrations, for example, considering cooking task such as slicing with a knife. Extended reality provides a natural setting for demonstrating robotic trajectories while bypassing safety concerns and providing a broader range of interaction modalities. We propose the Robot Action Demonstration in Extended Reality (RADER) system, a generic extended reality interface for learning from demonstration. We additionally present its application to an existing state-of-the-art learning from demonstration approach and show comparable results between demonstrations given on a physical robot and those given using our extended reality system.
Are Large Language Models Moral Hypocrites? A Study Based on MoralFoundations
(2021) José Luiz Nunes; GUILHERME DA FRANCA COUTO FERNANDES DE ALMEIDA; Araujo, Marcelo de; Barbosa, Simone D. J.
Large language models (LLMs) have taken centre stage indebates on Artificial Intelligence. Yet there remains a gap inhow to assess LLMs’ conformity to important human values.In this paper, we investigate whether state-of-the-art LLMs,GPT-4 and Claude 2.1 (Gemini Pro and LLAMA 2 did notgenerate valid results) are moral hypocrites. We employ tworesearch instruments based on the Moral Foundations The-ory: (i) the Moral Foundations Questionnaire (MFQ), whichinvestigates which values are considered morally relevant inabstract moral judgements; and (ii) the Moral FoundationsVignettes (MFVs), which evaluate moral cognition in con-crete scenarios related to each moral foundation. We charac-terise conflicts in values between these different abstractionsof moral evaluation as hypocrisy. We found that both mod-els displayed reasonable consistency within each instrumentcompared to humans, but they displayed contradictory andhypocritical behaviour when we compared the abstract val-ues present in the MFQ to the evaluation of concrete moralviolations of the MFV.
Continuous Parameter Control Using an On/Off Sensor in the Augmented Handheld Triangle
(2021) Ferreira, Marcio Albano H.; TIAGO FERNANDES TAVARES
In this work, we present Triaume, an augmented musical percussion instrument based on the triangle. The augmentation proposal for this instrument is based on a capacitive thumb sensor, that allows controlling digital musical devices and at the same time, preserves the original instrument idiomatic inside the context in which it is inserted. Triaume’s interaction proposals were built upon Brazilian music genres idiomatic, such as Forro, Xote, and Bai ´ ao. The instrument ˜ invasiveness is further reduced through the use of an external device (an appli cation running on a smartphone) for emulating faders related to sound parameter configuration. At first, we used the sensor as an on/off button able to trigger pre programmed percussion samples, which can be synchronized with the triangle’s acoustic sounds. This mechanism can be adjusted for triggering on pressing or releasing the sensor. Next, we convert the digital signals acquired by the sensor to continuous values by the on/off signal filtering. Such signal rectification and filtering system allows gradual change of continuous sound synthesis parameters, dealing with the on/off signal low robustness, turning it into a more controlled sig nal. Triaume can be inserted in the contexts of traditional and avant-garde music, also motivating further studies for applying the mechanism used on it in other percussion instruments.
InFracta: the Body as an Augmented Instrument in a Collaborative, Multi-Modal Piece
(2021) Pessanha, Thales Roel P.; Roque, Thiago Rossi; Zanchetta, Guilherme; Pereira, Lucas B.; Oliveira, Gabrielly Lima de; Pinheiro, Bruna C. M.; Paulino, Renata F. P. P.; TIAGO FERNANDES TAVARES
This paper discusses the creative process of the piece “InFracta: Dialogue Processes in a Multi-modal Environment”. The discussion concerns the dialogues between the dance, music, image, and technology knowledge domains, which were all present in the construction of the piece’s poetics. The interaction between these domains fostered resignifying the dancers’ gestures, so that their bodies interacted with a sound environment as if they were augmented instruments. This discussion adds to previous work on technology-mediated multi-modal art, in special concerning the contribution and the emergence of meaning related to each of the knowledge domains involved in the piece.
Comparative Latency Analysis of Optical and Inertial Motion Capture Systems for Gestural Analysis and Musical Performance
(2021) Santos, Geise; Wang, Johnt; Brum, Carolina; Wanderley, Marcelo M.; Tavares, Tiago; TIAGO FERNANDES TAVARES; Rocha, Anderson
Wireless sensor-based technologies are becoming increasingly accessible and widely explored in interactive musical performance due to their ubiquity and low-cost, which brings the necessity of understanding the capabilities and limitations of these sensors. This is usually approached by using a reference system, such as an optical motion capture system, to assess the signals’ properties. However, this process raises the issue of synchronizing the signal and the reference data streams, as each sensor is subject to different latency, time drift, reference clocks and initialization timings. This paper presents an empirical quantification of the latency communication stages in a setup consisting of a Qualisys optical motion capture (mocap) system and a wireless microcontroller-based sensor device. We performed event-to-end tests on the critical components of the hybrid setup to determine the synchronization suitability. Overall, further synchronization is viable because of the near individual average latencies of around 25ms for both the mocap system and the wireless sensor interface.
Evaluating mastery-oriented grading in an intensive CS1 course
(2024) Montagner, Igor dos Santos; RAFAEL CORSI FERRÃO; Kurauchi, Andrew; Silva, Mariana; Zilles, Craig
Allowing students to re-attempt assessments has been shown to be effective in traditional university-level courses in improving student mastery of course content. In this paper, we analyse an intensive programming introductory experience, where first semes ter university students’ full load is a single semester-long course that teaches the basics of programming and software engineering. We study its use of mastery-based grading: offering five (formative) low-stakes quizzes (with retakes), each focused on a single topic, and five (summative) higher-stakes exams that assess all learn ing objectives. Our research questions are: (i) “Do second chances help students to increase their performance over time in intensive courses?”; and (ii) “Are second chances effective in reducing stress/- mental load/weight of assessments in intensive courses?”. We find that (i) offering second chances on quizzes decreases the number of students at risk of failing before the first exam; (ii) students’ proficiency in coding tasks (as measured by exam grades) improve during the semester; and (iii) that our schedule reduces anxiety and mental load for students, but only after students take the first chance.
Using Multi-objective Optimization to Generate Timely Responsive BDI Agents
(2022) Stabile Junior, Márcio Fernando
A 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.
Game development learning with PBL approach as a tool to assess computer engineering competences
(2023) Freme, Pedro H. E. P; Sanches, Thiago; LUCIANO PEREIRA SOARES
This 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.
Adapting SCRUM Ceremonies in Undergraduate Capstone Projects
(2022) Ziv, Hadar; Kalafatis, Stavros; LUCIANO PEREIRA SOARES; Prikladnicki, Rafael

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