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URI permanente para esta coleçãohttps://repositorio.fei.edu.br/handle/FEI/792
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- Architectural design group decision-making in agile projects(2017-06-23) LOPES, S. V. F.; Plinio Thomaz Aquino Junior© 2017 IEEE.Software architecture has many definitions. One widely accepted definition of software architecture is that it is a composition of a set of architectural design decisions. Hence, designing a software architecture is a decision-making process. Agile methods drastically changed the way of designing a software architecture. In projects using agile methods (e.g. Scrum), making architectural design decisions is not the responsibility of a single person, but rather the whole development team. Despite the popularity of such methods in the industry, little research exists on how to make these decisions from the perspective of a group effectively. Current techniques usually focus on the identification of quality attributes and design alternatives, not addressing the whole decision-making process. The quality of decisions directly reflects the quality of the software architecture. Therefore poor decisions lead to bad software architectures. In this paper, we discuss current research on group decision-making in software architecture and the proposal of a combination of concepts from two architecture definition methods into a single approach that can be used in agile projects and addresses the most critical concerns of group decision-making. This proposal is part of a master's research project.
- Comparison of Bio-Inspired Algorithms from the Point of View of Medical Image Segmentation(2018) Wachs Lopes G.A.; Beltrame F.S.; Santos R.M.; Rodrigues P.S.© 2018 IEEE.As new technological challenges depending on the computational performance of bio-inspired algorithms emerge, the demand for more efficient heuristic solutions grows up at same rate. Specifically, the medical field is one of the most challenging, due to the fact of the pre-processing steps, such as multilevel segmentation of color spaces, require greater precision. Thus, many algorithms inspired by natural behavior have emerged successfully aiming to find approximate solutions compatible with optimal ones, but with much higher performance in terms of computational time. Although they perform well, some of these newer algorithms have not yet been analyzed from their practical applicability in one or more medical databases. This paper presents a comparative study from a practical point of view of three of these new algorithms: Cuckoo Search (CS), KH (Krill Herd) and EHO (Elephant Herd Optimization). Our results suggest that these three algorithms are compatible in terms of performance in medical databases, but with EHO showing the best performance among all three.
- RoboFEI@Home: Winning Team of the RoboCup@Home Open Platform League 2022(2023-03-24) MAROSTICA, N.G.; AGUIAR, N. A. G. M.; PIMENTAL, F. A. M.; Aquino-Junior P.T.© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.For the first time, the HERA robot won the RoboCup@Home in the Open Platform League in Bangkok, Thailand. This robot was designed and developed by the RoboFEI@Home team, considering all mechanical, electronic, and computational aspects. It is an Open League platform capable of performing autonomous tasks in home environments, in addition to human-robot interaction, collaborating with people who share the same environment. In this edition of the competition, the platform presented advances in the methods of interacting with people and social navigation. Interaction with people and objects is supported by image segmentation processes, enhancing environment perceptions and people recognition during tasks.
- The Inclusive Potential of Educational Robotics(2022-10-18) CANET, A. M. D.; Flavio Tonidandel© 2022 IEEE.Educational Robotics favors the development of reasoning, teamwork and the socialization of knowledge. In this work, using this educational technology as a learning mediator, its inclusive potential for students with disabilities in elementary school questioned. The objective of this study is verify the inclusive potential of educational robotics and what are the difficulties the robotics teachers present in the inclusion of students with disabilities. This research is qualitative and quantitative. It involves a bibliographic research and a questionnaire answered by the Professor of Support to Pedagogical Projects of Educational Technologies (PAPP TEC) of the Municipal Schools of São Bernardo do Campo. The questionnaire used the free Google Forms tool. The multiple-choice answers received statistical treatment and the open question analyzed using Bardin's content analysis. In the questionnaire and in the semi-structured interview, the teachers pointed out the need for training actions, collaborative action by support professionals (Technical Guidance Team and specialist teachers in the areas of disabilities) and access to assistive technology for the development of the inclusive potential of robotics.
- Case Study of student with neuromotor disability in the Educational Robotics project in Elementary School I(2022) Canet A.M.D.; Tonidandel F.© 2022 IEEE.In this investigation, using educational robotics as a mediator of learning, its inclusive potential for students with severe neuromotor impairment in elementary school was questioned. The objective of this work is to list the strategies and assistive technologies needed for children diagnosed with chronic non-evolving encephalopathy, with a motor condition of tetraparesis, who are attending Elementary School I, to be able to perform the activities proposed in the Educational Robotics classes. The hypothesis raised is that with the necessary adaptations the student can improve their functional performance and carry out school activities with greater autonomy and independence. This research is qualitative. It involves two phases: bibliographic research and a case study involving two elementary school students diagnosed with non-progressive chronic encephalopathy, with a motor condition of tetraparesis. The following used for the analysis of functional performance: the filming of the child before and after the use of the adaptations, the PEDI (Pediatric Evaluation of Disability Inventory), the ICF (International Classification of Functioning) and the PAPP TEC semi-structured interview. It concluded that virtual robotics through a software with screen scanning and interconnected boards of communication proved a possibility for adapting children who do not have conventional access to the assembly and programming parts of the robot, especially those with severe neuromotor disability who obtain the adaptive switch. With the use of adaptations, the student showed an improvement in her occupational performance and made it possible for her to participate in activities as a protagonist and not just as an observer.
- Computer Vision Based on a Modular Neural Network for Automatic Assessment of Physical Therapy Rehabilitation Activities(2022-01-05) FRANCISCO, J. A.; Paulo RodriguesAuthorPhysical rehabilitation techniques during the treatment of clinical pathology are one of the most challenging areas for the medical structure, patients, and families. In large and continental countries, remote monitoring of this treatment is essential. However, equipment and medical follow-up during exercises still have high costs. With the improvement of computer vision and machine learning techniques, some computational, less expensive alternatives have been proposed in the literature. However, monitoring patients during physical rehabilitation exercises with the help of artificial intelligence by a health professional, especially from the capture of visual signals, is still a challenge and poorly explored in the scientific-technological literature. This work aims to propose a new methodology based on computer vision and machine learning for remote tracking of the body joints of patients during physiotherapy rehabilitation exercises. As a new contribution, this work presents a modular neural network architecture composed of two modules: one for detecting physical exercises and another for measuring how much is correct. Another contribution is a strategy for expanding databases, considering that generic databases for this type of exercise are rare on the internet. The results showed that both modules obtained more than 90% of accuracy in recognition and their respective validation.
- Synthesizing 3D face shapes using tensor-based multivariate statistical discriminant methods(2011-11-14) MONOI, J.-L.; Plinio Thomaz Aquino Junior; GILLIES, D. F.We have implemented methods to reconstruct and model 3D face shapes and to synthesize facial expressions from a set of real human 3D face surface maps. The method employed tensor-based statistical shape modelling and statistical discriminant modelling methods. In the statistical shape modelling approach, new face shapes are created by moving the surface points along the appropriate expressive direction in the training set space. In the statistical discriminant model, new face shapes, such as facial expressions, can be synthesized by moving the surface points along the most discriminant direction found from the classes of expressions in the training set. The advantage of the tensor-based statistical discriminant analysis method is that face shapes of varying degrees can be generated from a small number of examples available in the 3D face shape datasets. The results of the reconstructions and synthesis of three-dimensional faces are illustrated in the paper. © 2011 Springer-Verlag.
- CARES 3.0: A two stage system combining feature-based recognition and edge-based segmentation for CIMT measurement on a multi-institutional ultrasound database of 300 images(2011-08-30) MOLINARI, F.; MELBURGER, K. M.; ACHARYA, U. R.; ZENG, G.; Paulo Rodrigues; SABA, L.; NICOLAIDES, A.; SURI, J. S.The intima-media thickness of the carotid artery (CIMT) is a validated marker of atherosclerosis. Accurate CIMT measurement can be performed by specifically designed computer algorithms. We improved a previous CIMT measurement technique by introducing a smart heuristic search for the lumen-intima (LI) and media-adventitia (MA) interfaces of the carotid distal wall. We called this new release as CARES 3.0 (a class of AtheroEdge™ system, a patented technology from Global Biomedical Technologies, Inc., CA, USA). CARES 3.0 is completely automated and adopts an integrated approach for carotid location in the image frame, followed by segmentation based on edge snapper and heuristic search. CARES 3.0 was benchmarked against three other techniques on a 300 image multi-institutional database. One of the techniques was user-driven. The CARES 3.0 CIMT measurement bias was -0.021±0.182 mm, which was better than that of the semi automated method (-0.036±0.183 mm). CARES 3.0 outperformed the other two fully automated methods. The Figure-of-Merit of CARES 3.0 was 97.4%, better than that of the semi-automated technique (95.4%). © 2011 IEEE.
- On source code completion assistants and the need of a context-aware approach(2017-07-09) ARREBOLA, F. V.; Plinio Thomaz Aquino Junior© Springer International Publishing AG 2017.Source code completion assistance is a popular feature in modern IDEs. However, despite their popularity, there is little research about their key characteristics and limitations. There is also little research about the way software developers interact with code completion assistants, especially when considering the different techniques assistants use to populate the list of possible completions. This paper presents a study about the features of currently available code assistants and an experiment targeting professional Java developers familiar with the Eclipse platform that aims to collect and interpret usage data of two popular code completion assistants during the execution of three programming tasks. Results indicate that half the interactions with code assistants are either dismissed, interrupted or the completion proposals displayed have no direct contribution to the completion of the programming task. In that sense, we argue that code assistants still have a long road to pursue, since they seem to diminish the importance of the ultimate goals of the task at hand and also lack the ability of identifying and exploring the concepts of context-aware computing theory. The results of this paper can drive future HCI research to the design of adaptive code completion assistants that are able to respond to end user behaviors and preferences.
- Discrete-event simulation of an irrigation system using Internet of Things(2022-06-01) GOMES ALVES, R.; Rodrigo Maia; Fabio Lima© 2003-2012 IEEE.Agricultural water consumption represents 69% of all freshwater used on the planet. In addition, it is necessary to increase food production by 50% by 2050. The use of Internet of Things platforms to carry out the sensing and monitoring of the agricultural environment is increasingly present in the literature. One of the difficulties that such platforms face is to validate the platform's operation in different irrigation systems, as it is often necessary for specialists to work in the connection of sensors and actuators that already exist on farms or that are defined in the design of such systems. Within this context, a discrete-event simulation of an irrigation system integrated into an Internet of Things platform was developed in this work. The digital manufacturing software Plant Simulation was used to perform the discrete event simulation. An OPC UA server establishes real-time communication between the Internet of Things platform and the simulation software. Thus, farmers may verify, in real-time, how a given irrigation prescription, sent by the IoT platform, takes place in the irrigation system.