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3D segmentation and visualization of lung and its structures using CT images of the thorax

Journal of Biomedical Science and Engineering 2013年第11期6卷 1099-1108页

作者： Pedro P.Reboucas Filho Paulo Cesar Cortez Victor Hugo C.de Albuquerque Industry Area Federal Institute of Education Science and Technology of CearaMaracanauBrazil Teleinformatic Engineering Department Federal University of CearáFortalezaBrazil Graduate Program in Applied Informatics University of FortalezaFortalezaBrazil

Computing systems have been playing an important role in various medical fields, notably in image diagnosis. Studies in the field of Computational Vision aim at developing techniques and systems capable of detecting various illnesses automatically. What has been highlighted among the existing exams that allow diagnosis aid and the application of computing systems in parallel is Computed Tomography (CT). CT enables the visualization of internal organs, such as the lung and its structures. Computational Vision systems extract information from the CT images by segmenting the regions of interest, and then recognize and identify details in those images. This work focuses on the segmentation phase of CT lung images with singularity-based techniques. Among these methods are the region growing (RG) technique and its 3D RG variations and the thresholding technique with multi-thresholding. The 3D RG method is applied to lung segmentation and from the 3D RG segments of the lung hilum, the multi-thresholding can segment the blood vessels, lung emphysema and the bones. The results of lung segmentation in this work were evaluated by two pulmonologists. The results obtained showed that these methods can integrate aid systems for medical diagnosis in the pulmonology field.

关键词： 3D Region Growing Lungs segmentation COPD Pulmonary Structure Visualization Computed Tomography

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Hybrid Approaches of Verbal Decision Analysis in the Selection of Project Management Approaches

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Procedia Computer Science 2015年 55卷 1183-1192页

作者： Isabelle Tamanini Plácido Rogério Pinheiro Thais Cristina Sampaio Machado Adriano Bessa Albuquerque University of Fortaleza (UNIFOR) - Graduate Program in Applied Informatics Av. Washington Soares 1321 Bl. J Sl. 30 Fortaleza 60.811-905 Brazil

Decision support methods aim at assisting in the decision-making process by simplifying the analysis of the problem and justifying the choice of a particular potential action. Recent researches have shown that the hybridization of methods is able to overcome limitations presented by the methods when applied separately: the classification of alternatives before submitting them to an ordination methodology would be an e ective way of filtering the set to be ordered. Specific Practices of Capability Maturity Model Integration were analyzed through a decision making model, assisted by the methods SAC and ZAPROS III-i. The results will be compared to previous studies.

关键词： Hybrid Methodologies Verbal Decision Analysis SAC ZAPROS III-i Project Management Capability Maturity Model Integration Decision Support Systems

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A Secure and Fault-Tolerant Architecture for LoRaWAN Based on Blockchain

A Secure and Fault-Tolerant Architecture for LoRaWAN Based o...

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Cyber Security in Networking Conference (CSNet)

作者： Victor Ribeiro Raimir Holanda Filho Alex Ramos Graduate Program in Applied Informatics University of Fortaleza (UNIFOR) Fortaleza Brazil Computer Science Department Federal Institute of Ceará (IFCE) Fortaleza Brazil

ISBN: (数字)9781728139494

ISBN: (纸本)9781728139500

The Internet of Things (IoT) paradigm aims to bring continuous interaction between small embedded devices and humans. The IoT has the potential to affect our daily lives and bring many benefits to society. Low-Power Wide-Area Networks (LPWAN) is a new IoT technology that offers long distance connectivity for a massive number of devices. LPWAN is a promising solution to enable complex IoT scenarios, such as smart cities and smart healthcare. LoRa is currently one of the leading LPWAN solutions available for public use. Due to the great number of connected devices and, in some cases, sensitive data transmitted in IoT networks, security is one of the main concerns in LPWAN. In this paper, we focus on the issues of key management in LoRaWAN. We propose a secure architecture for key management based on private blockchain and smart contracts in order to increase the levels of security and availability in LoRaWAN environments. In order to show the feasibility of the proposed architecture, a working prototype was implemented using open-source tools and commodity hardware.

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Software Quality Practices in Growing Startups: A Qualitative Study 20

Software Quality Practices in Growing Startups: A Qualitativ...

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20th Brazilian Symposium on Software Quality, SBQS 2021

作者： Pizzini, Adriano Bortolo Vieira, Ricardo Deda Gomes, Rhodrigo Santos, Gleison Malucelli, Andreia Reinehr, Sheila Graduate Program in Informatics Pontifical Catholic University of Paraná Paran Curitiba Brazil Department of Applied Informatics Federal University of the State of Rio de Janeiro Rio de Janeiro Brazil

ISBN: (纸本)9781450395533

Startups arise in environments of extreme uncertainty, with few resources and the need to scale quickly. In the growth phase, they still need agility, but they tend to concern more with software quality and the development process by having more human and financial resources. Studying the factors that lead startups in the growth phase to seek quality in their processes can help new startups anticipate implementing quality practices. In this paper, we aim to identify how startups adopt quality practices in the growth phase. We carried out a multiple case study with four growth phase startups. We applied qualitative analysis techniques to summarize the findings. The studied startups adopt limited quality practices and are influenced by the development team's maturity level, organizational culture, and experience. Furthermore, they tend to be reactive towards quality, solving the problems when they impact their product, business, customer, or when technical debt can no longer be managed. The findings are relevant to support stabilizing and growing startups to define actions to improve the quality of their processes and products. Besides, they suggest that growth phase startups begin a process of change in the organizational culture concerning quality, adopting the behavior of mature companies as soon as they get more human and financial resources. © 2021 ACM.

关键词： Quality control

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Applying Verbal Decision Analysis in Distributed Software Development: Rank Ordering the Influencing Factors in Task Allocation

Applying Verbal Decision Analysis in Distributed Software De...

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Iberian Conference on Information Systems and Technologies

作者： Marum Simao Filho Placido Rogerio Pinheiro Adriano Bessa Albuquerque Graduate Program in Applied Computer Science University of Fortaleza

ISBN: (纸本)9781509012268

In the management of distributed software development, project managers face many challenges. Some of the most critical ones are related to the allocation of tasks between remote teams. To assign a task to a site or team, the project manager should take into account several factors such as team's technical expertise and cultural similarities. He or she usually makes this decision in a subjective way. The verbal decision analysis is an approach based on solving problems through multi-criteria qualitative analysis, which means it considers the analysis of subjective criteria. This paper describes the application of verbal decision analysis method ZAPROS III-i to rank order the factors that the project managers should take into account when allocating tasks in distributed software development projects.

关键词： Distributed Software Development Task Allocation Verbal Decision Analysis ZAPROS III-i

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A hybrid model in the selection of prototypes for educational tools: An applicability in verbal decision analysis

A hybrid model in the selection of prototypes for educationa...

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IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, MCDM

作者： Thais Cristina Sampaio Machado Andréa Carvalho Menezes Isabelle Tamanini Placido Rogerio Pinheiro Graduate Program in Applied Computer Sciences University of Fortaleza-UNIFOR Fortaleza Brazil

Aiming to answer the growing demand for professionals with knowledge about software processes, this paper presents ideas for creating educational tools that supports its teaching. The paper defines six options of prototypes of educational tools and illustrates the study of preferences elicitation in the application of a hybrid method using ORCLASS and PACOM methodologies from verbal decision analysis (VDA) framework to classify and rank the prototypes according to the decision maker preferences. The application with prototypes was chosen because the software engineering is an area that allows the wide research in the preferences elicitation process. The research results show that, the adoption of qualitative methods of decision support, can benefit significantly the selection of the interface aiming to use the selected interface from the approved group and ranked for future development of real educational tools applications.

关键词： Prototypes Decision making Navigation Software Filling Education Games

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A Hybrid Methodology for Nesting Irregular Shapes: Case Study on a Textile Industry *

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IFAC Proceedings Volumes 2013年第24期46卷 15-20页

作者： Bonfim A. Junior Plácido R. Pinheiro Rommel D. Saraiva Program in Applied Informatics University of Fortaleza Av. Washington Soares 1321 - J30 60.811-905 Fortaleza – Brazil

The aim of this paper is to describe a hybrid methodology that combines a Genetic Algorithm and a Bottom-Left Greedy procedure for solving the two-dimensional Nesting Problem. The No-Fit Polygon construct is applied for obtaining local optima. Furthermore, a shrinking algorithm is incorporated to the metaheuristic engine to identify good quality solutions. Computational experiments performed on standard benchmark problems, as well as a practical case study developed in a textile industry, are also reported and discussed here in a manner as to testify the potentialities behind the novel approach.

关键词： Cutting and Packing Nesting Problem Industrial Applications Hybrid Methods Genetic Algorithm

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Combining different ways to generate diversity in bagging models: An evolutionary approach

Combining different ways to generate diversity in bagging mo...

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International Joint Conference on Neural Networks (IJCNN)

作者： Diego S. C. Nascimento Anne M. P. Canuto Lígia M. M. Silva André L. V. Coelho Informatics and Applied Mathematics Department Federal University of Rio Grande do Norte Natal Rio Grande do Norte Brazil Graduate Program in Applied Informatics University of Fortaleza-UNIFOR Fortaleza Ceara Brazil

Bagging algorithm has been proven to be effective when dealing with on different classification problems. However, the success of Bagging depends strongly on the diversity level reached by the individual classifiers of the ensemble models. Diversity in ensemble can be obtained when the individual classifiers are built using different circumstances, such as parameter settings, training datasets and learning algorithms. This paper presents a new approach which combines these three different ways to obtain high diversity in Bagging models, aiming, as a consequence, to obtain high levels of accuracy for the ensembles. In the proposed approach, in order to obtain the optimal configurations of features and classifiers in Bagging models, we have applied an evolutionary approach composed of two genetic algorithm instances. In order to validate the proposed approach, experiments involving 10 classification algorithms have been conducted, applying the resulting Bagging structures in 5 pattern classification datasets taken from the UCI repository. In addition, we analyze the performance of the resulting Bagging structures in terms of two recently proposed diversity measures, referred to as good and bad.

关键词： Diversity reception Genetic algorithms Bagging Accuracy Training Biological cells Correlation

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Introducing business process into legacy information systems

Introducing business process into legacy information systems

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3rd Internaional Conference on Business Process Management,BPM 2005

作者： Borges, Marcos R. S. Vincent, A.F. Penadés, M. Carmen Araujo, Renata M. Graduate Program in Informatics Federal University of Rio de Janeiro Brazil Technical University of Valencia Spain Department of Applied Informatics Federal University of the Rio de Janeiro State Brazil DSIC Technical University of Valencia Spain

The majority of legacy information systems running today were built without adopting a business process approach. In these systems, the control over the execution of the process activities is partial, leaving out all those activities that have not been automated. Moreover, the activities that constitute the process are not formally interconnected, causing loss of the overall business process context. This paper presents a method for gradually integrating the underlying business processes supported by these systems, without disrupting the automation they already support. The method is particularly attractive for legacy systems that are expected to last a long time and whose redevelopment costs are high. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Legacy systems

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Evaluating ChatGPT-4 Vision on Brazil’s National Undergraduate Computer Science Exam

arXiv

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arXiv 2024年

作者： Mendonça, Nabor C. Post-Graduate Program in Applied Informatics University of Fortaleza Av. Washington Soares 1321 Edson Queiroz Ceará Fortaleza60811-905 Brazil

The recent integration of visual capabilities into Large Language Models (LLMs) has the potential to play a pivotal role in science and technology education, where visual elements such as diagrams, charts, and tables are commonly used to improve the learning experience. This study investigates the performance of ChatGPT-4 Vision, OpenAI’s most advanced visual model at the time the study was conducted, on the Bachelor in Computer Science section of Brazil’s 2021 National Undergraduate Exam (ENADE). By presenting the model with the exam’s open and multiple-choice questions in their original image format and allowing for reassessment in response to differing answer keys, we were able to evaluate the model’s reasoning and self-reflecting capabilities in a large-scale academic assessment involving textual and visual content. ChatGPT-4 Vision significantly outperformed the average exam participant, positioning itself within the top 10 best score percentile. While it excelled in questions that incorporated visual elements, it also encountered challenges with question interpretation, logical reasoning, and visual acuity. A positive correlation between the model’s performance in multiple-choice questions and the performance distribution of the human participants suggests multimodal LLMs can provide a useful tool for question testing and refinement. However, the involvement of an independent expert panel to review cases of disagreement between the model and the answer key revealed some poorly constructed questions containing vague or ambiguous statements, calling attention to the critical need for improved question design in future exams. Our findings suggest that while ChatGPT-4 Vision shows promise in multimodal academic evaluations, human oversight remains crucial for verifying the model’s accuracy and ensuring the fairness of high-stakes educational exams. The paper’s research materials are publicly available at https://***/nabormendonca/gpt-4v-enade-cs-2021. © 202

关键词： Visual languages

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