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Utilização da metodologia pdca na indústria: estudos de caso
(Universidade Católica de Salvador, 2018-12-11) Ramos, Anne Caroline Dias Coelho; Conceição, Wagner Almeida Mônaco; http://lattes.cnpq.br; Conceição, Wagner Almeida Mônaco; http://lattes.cnpq.br; Neves, Sergio Bello; http://lattes.cnpq.br; Sampaio Filho, Wilton Correia
Every area or industrial segment has several specific processes along its production chain. With the demand of market for even better products in terms of quality and cost, PDCA emerges as a cyclical tool that has four management steps and is very useful, delivering very positive results when applied. Analyzing the use of PDCA as a fundamental part to achieve better results in different areas, it can be said that the methodology continues to be increasingly used and consolidated over the years. As a segment of study, it was proposed the effort in researches in different cases of application of the methodology in industries of several segments. The study was realized, from a literature review, for theoretical background associated with field research in order to prove the effectiveness of the application of the tool as one of the ways to obtain improvement continuous around its processes through the solution of problems. The accomplishment of this exploratory research had the intention to confirm the systematic of use of the methodology and its auxiliary tools in search of satisfactory results for the area of chemical engineering, and of the industries of the most diverse sectors described in this article
Levantamento experimental de dados de equilíbrio líquido-líquido através de uma metodologia gravimétrica
(Universidade Católica de Salvador, 2018-12-18) Santos, Ivaniele Vieira; Neves, Sérgio Bello; http://lattes.cnpq.br; Conceição, Wagner Almeida Mônaco; http://lattes.cnpq.br; Neves, Sérgio Bello; http://lattes.cnpq.br; Conceição, Wagner Almeida Mônaco; http://lattes.cnpq.br; Marques, Celso Argolo Xavier; http://lattes.cnpq.br
The study of liquid-liquid equilibrium is extremely important for planning and development of projects, as well as providing support for analysis and selection of unit operations and industry processes. The present work aims to develop a methodology for the data collection of liquid-liquid equilibrium from the density of mixtures of the ternary system, water-acetone-chloroform. The mass fractions of the three components were obtained by the liquid-liquid extraction experimental method, as well as the density, which was determined by the gravimetric method of pycnometry. Through the modeling developed, it was possible to calculate the molar volume of excess of each binary, from the component composition data, to predict the density of the ternary mixture. In the same way, the substances present in the solution could be quantified by the experimental density. Through the analysis of the results obtained throughout the work, the modeling developed proved to be quite effective
Desenvolvimento de um sistema IOT voltado à acessibilidade na mobilidade urbana
(Universidade Católica do Salvador, 2019-06-18) Cruz, Carlos Daniel Santana; Wyzykowski, André Brasil Vieira; lattes.cnpq.br; Wyzykowski, André Brasil Vieira; lattes.cnpq.br; Reis, Marcelo Indio dos; lattes.cnpq.br; Pereira, Mario Jorge; lattes.cnpq.br
In Brazil, until the 2010 year, there were about 11 million people with some visual impairment. However, even with this significant quantity of people, and despite the existence of some urban mobility policies and laws related to accessibility, some aspects of their daily lives still constitute a problem. Among these problems is the lack of accessibility in public transport. Based on the mentioned problem, this work aimed to propose a system composed of an embedded IOT device, together with a web application and an application for mobile devices, all with the purpose of contributing to the improvement in accessibility and urban mobility, more specifically regarding to the public transport modality, consequently contributing to a more autonomous and independent life to people with some impairment. First, a bibliographic review was carried out based on the themes related to the work; then, a Requirements analysis was made for the initial functionalities that the system would have; finally, are described the steps taken in the development of the parts that compose the system, along with some problems encountered, and how these problems were worked out. The developed system, even being a first experimental version, made it possible for a visually impaired person to access estimated distances between their location and a specific vehicle’s location, and in a controlled experiment, enabling the vehicle to be identified by the person. Due to this, with the conclusion of this work, it was planned for future projects, among other characteristics, the addition of functionalities, in order to offer to the user a greater range of information along a bus trip.
e-Coach: um sistema de recomendação de equipes e personagens de league of legends utilizando redes neurais multicamadas
(Universidade Católica do Salvador, 2019-06-18) Gonçalves, Danilo Silva; Wyzykowski, André Brasil Vieira; lattes.cnpq.br; Wyzykowski, André Brasil Vieira; lattes.cnpq.br; Reis, Marcelo Indio dos; lattes.cnpq.br; Aquino, Pamela Arielle Brito de; lattes.cnpq.br
The mode of electronic sports has been increasingly present in society, crowding stadiums in different parts of the world and conquering more and more supporters by where their events take place. Between investment and millionaire awards, a career as a cyber athlete has become a goal of young people in the gamer community, as well as encouraging other companies in the area. In this sense, this study demonstrates the implementation of an algorithm applying Multi Layer Perceptron networks, using as a database the results of ranked matches of League of Legends. In addition, it explains the execution of experiments with players in real matches using the algorithm and comparing them to matches without using the algorithm. Thus, making possible the realization of the prediction of which team and characters that best fit for the match in obtaining victory.
Sinalizador de riscos: um aplicativo gamificado para o mapeamento participativo de riscos
(Universidade Catolica de Salvador, 2019-06-18) Arouca, Murilo Guerreiro; Wyzykowski, André Brasil Vieira; lattes.cnpq.br; Reis, Marcelo Indio dos; lattes.cnpq.br; Melo, Osvaldo Requião; lattes.cnpq.br
Due to the large index of risk areas located in large urban centers, the use of mobile technologies is projected as an alternative for the verification and mapping of this problem. Considering this scenario, the artificial mapping, an approach that proposes the help of the population in the mapping of the environment to which it is inserted, can be provided to the population even more profitable, because due to the presence of the modern technological components incorporated to the mobile devices , it has become easier to collect geographic data through these devices. In this way, the present work aims to present a hybrid mobile application developed to carry out the mapping of risks, as well as the use of mechanics of the gamification with the purpose of provoking the engagement of the population to assist in the process of improvement of the environment to the which it is inserted. Thus, through an experiment, the data collection, analysis and comparison for the validation of the application were performed, so that the validity of the use of mobile devices in the process of participatory mapping is evidenced, as well as the importance and contribution to the population.
Iridescent: Um serious game que visa identificar a possibilidade de adaptação de um teste psicológico tendo como base o DASS-21
(Universidade Católica do Salvador, 2019-06-18) Almeida, Felipe Deveza de; Costa, Hudson Luís da Silva; Wyzykowski, André Brasil Vieira; lattes.cnpq.br; Wyzykowski, Andre Brasil Vieira; lattes.cnpq.br; Reis, Marcelo Indio dos; lattes.cnpq.br; Melo, Osvaldo Requião; lattes.cnpq.br; Araujo, Jeane Franco de; lattes.cnpq.br
Software engineering and the IT arena in general offer solutions to problems in many other areas, ranging from simpler software to management to the most complex systems imaginable. Given that anxiety and depression are problems affecting millions of people around the world and the already mentioned high number of solutions that software engineering can offer, a textit serious game has been developed. textit Serious games are games that are meant to align the audio visual experience with a specific goal that is not tied to textit gameplay. The game described in this work has the objective of verifying if there is a possibility of adapting the psychological test DASS-21 to another platform, opening the doors to new adaptations and studies in the area. To validate our adaptation, two experiments were carried out with a total of 25 participants, allowing data collection and comparison with the form responses. The tests were carried out voluntarily by the participants, being totally in agreement with the norms established by the DASS-21. The experiment consisted of two steps: to play textit Serious games and to respond to the DASS-21 form, after these two steps, the participant would send his answers to the evaluators. The results obtained in this work show that from the point of view of IT, the DASS-21 test has the possibility of being adapted, reaching up to 94
Tipificação de ocorrências policiais utilizando machine learning
(Universidade Católica do Salvador, 2019-06-18) Amorim, Matheus da Silva; Pereira, Juan Ribeiro Silva; Reis, Marcelo Indio dos; lattes.cnpq.br; Reis, Marcelo Indio dos; lattes.cnpq.br; Melo, Osvaldo Requião; lattes.cnpq.br; Aquino, Pamela Arielle Brito de; lattes.cnpq.br
Public safety is one of the main pillars for society that directly influence the citizens quality of life. Lately this area has been receiving a great focus on the investment issue, as Ballesteros (2014) says his article, much of this value has been destined to process automation. In this context, technology enters to support various routine activities, making them more efficient through better management of their resources. With that, it was suggested in this assignment the use of machine learning algorithms, to automatically typify police occurrences. It was used a base of data with police records and from it some samples were taken for validation. For this tests were selected the algorithms C4.5, CART, KNN, SVM, Rede Neural, Ripper and Random Forest. The results gotten, indicated that the C4.5 and the Ripper had the best accuracy, becoming until 99% in some tests. In a test, the application of the coefficient of correlation of Matthews and of F1 score, reached 0.89 and 0.94 in that order.
Análise experimental entre as técnicas TDD e Test-Last no processo de manutenção corretiva de software
(Universidade Católica do Salvador, 2019-06-18) Barros, Gabryela Santana; Pereira Junior, Lielson Ribeiro; Reis, Marcelo Indio dos; lattes.cnpq.br; Wyzykowski, André Brasil Vieira; lattes.cnpq.br; Wyzykowski, Andre Brasil Vieira; lattes.cnpq.br; Reis, Marcelo Indio dos; lattes.cnpq.br; Neiva, Antonio Claudio Pedreira; lattes.cnpq.br
In the context of software development, It is possible to find any approaches. The test last development technique (TLD) is the most common process in software building practice. The test-driven development (TDD) is a technique in which tests are applied before the implementation of a feature. Due to software process improvement and with the influence of the agile movement, the TDD gained notoriety and nowadays is very widespread in the community. It is well known about benefits of software development, but there are few sources of information about corrective maintenance. This work was done in three steps. The first step had the objective of creating a dataset of codes made using TDD and TLD aprroach. For the second step a total of ten valid codes were selected during this phase, five codebases using TLD approach and five codebases using TDD approach. The third step using code that were create on previous phase, were submitted for maintenance, where possible implmentation errors should be detected. The objective of this research is, through experiments with students of various levels in the area of computing, is to check the efficiency of TDD in software maintenance compared to TLD. During development session, It is possible to notice that code built with TDD has less size and more quality comparing to TLD. In maintenance, it was observed that the codes built with TDD, had a larger number of bugs solved than the codes built with TLD. However, results of the time-saving for fixing bugs were inconclusive.
Simulação dinâmica de uma coluna de destilação
(Universidade Católica do Salvador, 2019-06-19) Santos, Natália Silva dos; Neves, Sérgio Bello; http://lattes.cnpq.br; Conceição, Wagner Almeida Mônaco; http://lattes.cnpq.br; Mustafa, George de Souza; http://lattes.cnpq.br
The study showed the importance of dynamic simulation to understand the reactions of process variables when a system disturbance occurs. For the study, it was necessary to design the distillation column in Aspen Plus, including the choice of the best thermodynamic model, material balance, minimum and design reflux ratios, number of theoretical and real plates, feed plate and sensitive plate study. For the analysis of the control strategies, we used Aspen Plus Dynamics, showing itself to be a great tool for operator training. The strategy of direct composition control with cascade presented better results to the perturbations, which were made in the feed flow, ensuring that the distillate stream was obtained within ANP specifications
Previsão de demanda de sobressalentes na indústria
(Universidade Catolica de Salvador, 2019-08-01) Silva, Lucas Jordi Nascimento da; Dias, Vinicius do Rego; lattes.cnpq.br
Sistematização do processo de desenvolvimento de produtos, com foco em empresa de pequeno porte: estudo de caso de um heliodon
(Universidade Católica do Salvador, 2019-08-01) Oliveira Filho, Bernardo Soares Alvim de; Dias, Vinicius do Rego; lattes.cnpq.br; Conceição, Wagner Almeida Mônaco; lattes.cnpq.br; Albuquerque, Heloisa Maria de Carvalho e; lattes.cnpq.br
The product development process (PDP) has been increasingly recognized as fundamental to the competitiveness of a company, because it directly affects the quality of the portfolio and the profit of the organization. Despite this, the common scenario in small businesses is the process of product development happening informally. This monograph presents a bibliographic review about product development, based on universal theories of management and organization of the product development processes. The reference models are inserted in the context of a small technology-based company focusing on macro phases of project planning and product planning, including the informational, conceptual and detailed project phases, as well as tools, methodologies and supporting documents for each step cited. Still in the context of competitiveness, another crucial factor is how to manage the project development, for this is presented the agile project management methodology: Scrum. Finally, a case study is carried out using the suggested model and using Scrum as a management tool for the development of a Heliodon, simulator of the solar trajectory and the incidence of solar rays.
Simulação dinâmica de uma coluna de destilação em uma unidade de produção de etanol hidratado
(Universidade Católica do Salvador, 2019-12-12) Cardoso, Lucas Oliveira; Neves, Sérgio Bello; http://lattes.cnpq.br/; Mustafá, George de Souza; http://lattes.cnpq.br/; Lima, Paula Gois de; http://lattes.cnpq.br/
The Ethanol is characterized like a substance of wide applicability in the Brazil. Based on that, its possible to highlight hydrous ethanol, which is used as fuel for vehicles, the pharmaceutical industry, alcohol and beverages. However, the purification of hydrous ethanol becomes an important step for its applications. Therefore, for the development of hydrous ethanol purification a conventional distillation was used to physically separate miscible mixtures from each other. In order, to verify the dynamics of the distillation columns, Aspen Plus Dynamics was used to evaluate six control strategies and four tuning rules for three distillation columns, in order to verify the best strategy and apply to hydrous ethanol 92.5%, 93.6% and 94.6% by mass of ethanol, according to ANP. Thus, from the dynamic study using Aspen Plus Dynamics, it was possible to verify that the Ziegler-Nichols, Cohen Coon and ITAE methods showed good results, being similar, in which they chose to select the Ziegler-Nichols method. And among the control strategies, the double compositions presented better results to the disturbances performed in the flow and feed composition.
Bioplástico: alternativa viável e sustentável ao plástico convencional
(Universidade Católica do Salvador, 2019-12-13) Azevedo, Larissa Guimarães; Neves, Sérgio Bello; http://lattes.cnpq.br/; Conceição, Wagner Almeida Mônaco; http://lattes.cnpq.br/; Hayashi, Júlio César; http://lattes.cnpq.br/
Conventional plastics are macromolecular polymers, synthesized from fossil raw material, petroleum. It is part of the third generation of the petrochemical chain and from the outset has many benefits to society, mainly due to its high resistance. This feature becomes unfavorable when there is insufficient solid waste management, making it one of the main pollutants of fauna and flora with proven toxicity, as well as representing economic and potential waste. The need for innovation in the polymer area has been creating space for the conscious development of new materials, such as bioplastics, derived from renewable raw materials, presenting biodegradability and boasting a good marketing perspective although it costs, on average, twice the conventional plastic because it is a new technology of smaller scale. Brazil, which is the fourth largest producer of plastics moreover, recycles less than 5%, would have lower production costs of bioplastics than countries in Europe, the United States and China. The article aims to present the main bioplastics as alternatives to petrochemicals, in order to support the structuring of this new industry and perform the role of environmental awareness agent.
Metodologia para projeto de unidade de tratamento de efluente com estudo de caso
(Universidade Católica do Salvador, 2019-12-13) Santos, Jéssica Sousa dos; Conceição, Wagner Almeida Mônaco; http://lattes.cnpq.br/; Neves, Sérgio Bello; http://lattes.cnpq.br/; Hayashi, Júlio César; http://lattes.cnpq.br/
Water is among the natural resources most used by the population and industries. Studies and comparative analyses of consumption, availability and environmental impact have shown that in many parts of the world, it is impossible to consume water without it being subjected to appropriate treatments and that various emissions are polluted due to the negligent disposal of water after its use. More and more financial and technological investments are being safeguarded in order to achieve an adequate sanitary security and preservation of the environment. The industry in general, is characterized as one of the largest consumers of water and consequently, end up being the ones that generate more liquid effluents in their production process. Based on this premise, it is necessary to elaborate and study efficient projects and technologies that can guarantee the quality of this generated effluent, to ensure the quality of the receiving water body when this effluent is discarded and so that it complies with the standards required by Environmental Legislation. The objective of this work was to analyze an effluent generated by a given company, to characterize this effluent in order to verify its parameter in accordance with the environmental requirements available in the state of Bahia and, based on this analysis, to study the type of technology that should be used for this effluent in order to reduce the parameter present in this effluent so that it complies with the demanding standards to release it to the receiving body without causing environmental damage and public health.
Uma ferramenta multicritérios de priorização de requisitos baseada na técnica Analytic Hierarchy Process
(Universidade Católica do Salvador, 2020-06-26) Pergentino, Jessica das Neves; Reis, Marcelo Indio dos; http://lattes.cnpq.br/; Reis, Marcelo Indio dos; http://lattes.cnpq.br/; Wyzykowski, André Brasil Vieira; http://lattes.cnpq.br/; Borges, Fernando Cezar Reis; http://lattes.cnpq.br/
Over time, companies and businesses have constantly evolved, which makes systems and the way to develop software evolve together, becoming increasingly interactive the way to create products. Thus, it is important to have a consistent requirements prioritization phase, which takes into account the stakeholders requirements and development conditions. Doing good prioritization can define whether product development will be successful or not. The requirements prioritization system presented in this paper aims to assist decision makers in the management and prioritization of functional requirements of their projects., taking into account the prioritization considerations. This system will make it possible to use the requirements prioritization technique Analytic Hierarchy Process based on multicriteria in an automated way, facilitating the use of the technique. For this, it was necessary to make a selection of the criteria, through a study in the literature and interviews with three specialists in the area of requirements engineering. For the construction of the tool, an analysis of the domain was made, followed by the survey of the functional requirements and the elaboration of the documentation. To validate the proposed solution, a case study was carried out in a project of the software factory of the Catholic University of Salvador, the case study had four phases, where the first was the identification of the participants’ profile, the second was the prioritization of requirements using an auxiliary spreadsheet, in the sequence, the participants carried out the prioritization using the tool described in this paper, finally, a questionnaire was applied to collect information about the priorities and impressions of the participants. The results obtained in the case study demonstrate that the tool was able to automate the technique of the Analytical Hierarchy Process and facilitate the process of prioritizing requirements. The criteria presented in this paper are also suitable for the context of the project in which they were used. Participants reported that the prototype of the tool is intuitive and practical, showing that it has the potential to be improved for commercial use.
Robô Cobra: sistema para identificação de organismos vivos em estruturas colapsadas
(Universidade Católica do Salvador, 2020-06-29) Araújo, Adriano Ricardo Andrade; Rios, Luiz Henrique Brito; Wyzykowski, André Brasil Vieira; http://lattes.cnpq.br/; Reis, Marcelo Indio dos; http://lattes.cnpq.br/; Melo, Osvaldo Requião; http://lattes.cnpq.br/
When a structure collapse occurs, caused by collapse or even for another reason, to obtain an optimized response time in the search and rescue of survivors, technology becomes an important ally in maintaining life. In this context, we see robotics as a process optimizer. This work deals with the construction of a Snake Robot, a system for the identification of living organisms in collapsed structures, which aims to identify living beings in these structures using machine learning, contemplating the implementation of an autonomous locomotion system, in addition to a classification of thermal images. For this, a thermal image dataset was generated, where we use data augmentation to add it in volume and variety, and from it generate a predictive model. This predictive model, in conjunction with object detection, allows the snake robot to function autonomously during the detection / classification of objects in living or non-living beings. In building the solution, sensors, an Arduino microcontroller were used, in addition to the Tensorflow library with Keras. With the simulated practice experiments carried out, the robot had its operation tested and validated, accurately detecting in a 180o field of view at distances between 10 to 150 cm, obtaining an average accuracy of 97.5 % for classification.
Estudo de caso sobre o uso da notação BPMN no mapeamento do processo de baixa de atividades complementares na UCSAL
(Universidade Católica do Salvador, 2020-06-29) Oliveira, Jeferson Sunderlande de; Borges, Fernando Cezar Reis; http://lattes.cnpq.br/; Wyzykowski, André Brasil Vieira; http://lattes.cnpq.br/; Melo, Osvaldo Requião; http://lattes.cnpq.br/
To demonstrate the benefits that the use of BPM can provide for a higher education institution, a case study was carried out to assess whether the BPMN notation is applicableand whether it has benefits in mapping the process of writing off complementary activities in Catholic University of Salvador (UCSAL) and, with this, point out the positive impact of the Business Process Management (BPM) approach. Therefore, it was necessary to map the initial state of the process of writing off complementary activities - AS IS at the Catholic University of Salvador, to identify improvements to be implemented, to model the new TO BE procedure, and to create manuals to assist and standardize the modeled actions. Thus, a research was carried out with a qualitative approach to the problem, explanatory as to the purposes and with the procedure of the case study. Therefore, it was found that the reduction in the number of activities in the process of writing off complementary activities, attenuation from five to two actors in the process, and the standardization of procedures in the process. It then confirms that the BPMN notation assists in strategic decisions and collaborates in identifying the reality that presents itself with the business process and, through the analysis of the mapped process, it is possible to define the improvements to be applied.
Síntese de imagens de Raios-X de problemas respiratórios utilizando redes neurais adversariais generativas
(Universidade Católica do Salvador, 2020-07-22) Silva, Ícaro Santana; Oliveira, Sérgio Matheus Barbosa; Wyzykowski, André Brasil Vieira; http://lattes.cnpq.br/; Melo, Osvaldo Requião; http://lattes.cnpq.br/; Reis, Marcelo Índio dos; http://lattes.cnpq.br/
Diverses problems in scientific study development are related to information scarcity. In the medical context, there are rares diseases that have a few cases. Beyond that, in initial stages of a new disease, patient data keep stored in medical centers, until they realize a compilation work of them. Lastly, still there a situation of about personal data are kept safe under law protection, causing a data unbalancing. Currently, this difficulty was evidenced with Coronavirus disease 2019 (COVID-19). As it’s a new disease, the scientific community had little precise data to carry out more detailed studies. Thinking about this, the work goal is to conceive x-ray lung synthetic images, which were generated by artificial intelligence, being visually realistic from a few real samples to enable the creation of repositories that will support future research and detailed studies. To reach the objective, one research was carried out to find the next works to support the development, experiments, and validations that contributed to the stage of training neural network models. To validate the provided information of that training was necessary to calculate the quality related to the original samples, to do that was used the calculation of Fréchet distance, to measure the characteristics interval between them, contributing to the validation to the best neural model applied. Counting too with a human perception experiment was applied in 81 participants in visual form, to validate by his optics and judge between the presented images in your criteria to consider the sample as genuine or synthetic. With the result obtained from the human perception experiment, was possible to identify that the samples judged by the participants as the closest to reality were the same as from the score calculated by the distance from Fréchet. With these validations, it was possible to demonstrate that the images generated by the model Wasserstein generative adversarial network (WGAN) were superior to the Deep Convolutional Generative Adversarial Network (DCGAN).
Adaptação do WGAN ao processo estocástico
(Universidade Católica do Salvador, 2020-09-30) Aquino, Rafael Rembrandt; Wyzykowski, André Brasil Vieira; http://lattes.cnpq.br/; Pereira, Mário Jorge Pereira; http://lattes.cnpq.br/; Reis, Marcelo Índio dos; http://lattes.cnpq.br/
Within different areas of knowledge, data (different types of information) are valuable and their analysis is even more valuable. Then, associating the area of artificial intelligence, a new trend is observed, the generation of synthetic data to fill the lack of data. Therefore, analyzing current contexts, this work aims to demonstrate the use of techniques based on random events to optimize the result in the execution of algorithms based on GAN (Generative adversarial networks) and through a validation through the calculating the FID (Frechet Inception Distance) it was possible to analyze the results, determining the quality of the data generated by the proposed algorithm compared to WGAN.
SED99 - Software Evolution Dataset - 99 repositories
(Universidade Católica do Salvador, 2020-12-11) Silva, Rodrigo Soares da; Wyzykowski, André Brasil Vieira; http://lattes.cnpq.br/; Neiva, Antônio Cláudio; http://lattes.cnpq.br/; Melo, Osvaldo Requião; http://lattes.cnpq.br/
The SED99 is a dataset contemplated by Open Source / Free Software projects to aid in the study of Software Evolution and in the analysis of the behavior of diversified projects over 5 years at four-month control points. The work aims to present the motiva- tions for its creation, its compilation process, ways to extract relevant information about its data and encourage other ways of exploring its content, in addition to representing a contribution to the science of Software Evolution, which compared other areas need more studies about it.

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