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This article presents initiatives aimed at promoting female participation in STEM fields, with the goal of encouraging more women to pursue careers in these areas. One of these initiatives is the Em\'ilias - Arma\c{c}\~ao em Bits Project, which organizes workshops in schools. Additionally, a podcast has been created to foster interaction between young people and professionals in the field of computing, while also contributing to the establishment of female role models in the industry. The results of these initiatives have been promising, as 70.6% of the students who participated in the workshops expressed an interest in computing. Furthermore, according to Spotify, the podcast's audience consists of 53% females, 44% males, and 3% unspecified, indicating that it has successfully reached a female demographic. Resumo. Este artigo apresenta iniciativas que t\^em como objetivo promover a participa\c{c}\~ao das mulheres nas \'areas de STEM, buscando encorajar mais mulheres a seguirem carreiras nesses campos. O Projeto Em\'ilias - Arma\c{c}\~ao em Bits desenvolve oficinas nas escolas e tamb\'em um podcast, promovendo a intera\c{c}\~ao entre jovens e profissionais da \'area de computa\c{c}\~ao, al\'em de contribuir para a forma\c{c}\~ao de modelos femininos nesse campo. Os resultados demonstraram que 70,6% das estudantes demonstraram interesse pela computa\c{c}\~ao ap\'os participarem das oficinas. Em rela\c{c}\~ao aos ouvintes do podcast, dados do Spotify indicaram que 53% do p\'ublico se identifica como feminino, 44% como masculino, e 3% n\~ao especificaram o g\^enero, o que mostra que o podcast tem alcan\c{c}ado um p\'ublico feminino., Comment: In Portuguese. 10 pages. Accepted for XVII Women in Information Technology (WIT 2023)

A basic task for most Legal Artificial Intelligence (Legal AI) applications is Named Entity Recognition (NER). However, texts produced in the context of legal practice make references to entities that are not trivially recognized by the currently available NERs. There is a lack of categorization of legislation, jurisprudence, evidence, penalties, the roles of people in a legal process (judge, lawyer, victim, defendant, witness), types of locations (crime location, defendant's address), etc. In this sense, there is still a need for a robust golden collection, annotated with fine-grained entities of the legal domain, and which covers various documents of a legal process, such as petitions, inquiries, complaints, decisions and sentences. In this article, we describe the development of the Golden Collection of the Brazilian Judiciary (CDJUR-BR) contemplating a set of fine-grained named entities that have been annotated by experts in legal documents. The creation of CDJUR-BR followed its own methodology that aimed to attribute a character of comprehensiveness and robustness. Together with the CDJUR-BR repository we provided a NER based on the BERT model and trained with the CDJUR-BR, whose results indicated the prevalence of the CDJUR-BR., 15 pages, in Portuguese language, 3 figures, 5 tables

Interaction with the physical environment and different users is essential to foster a collaborative experience. For this, we propose an interaction based on a central point represented by an Augmented Reality marker in which several users can capture the attention and interact with a virtual avatar. The interface provides different game modes, with various challenges, supporting a collaborative mobile interaction. The system fosters various group interactions with a virtual avatar and enables various tasks with playful and didactic components., 4 pages, in Portuguese language, 4 figures, 1 table, accepted and presented at ICGI 2021

Recently, there has been an interest in improving the resources available in Intrusion Detection System (IDS) techniques. In this sense, several studies related to cybersecurity show that the environment invasions and information kidnapping are increasingly recurrent and complex. The criticality of the business involving operations in an environment using computing resources does not allow the vulnerability of the information. Cybersecurity has taken on a dimension within the universe of indispensable technology in corporations, and the prevention of risks of invasions into the environment is dealt with daily by Security teams. Thus, the main objective of the study was to investigate the Ensemble Learning technique using the Stacking method, supported by the Support Vector Machine (SVM) and k-Nearest Neighbour (kNN) algorithms aiming at an optimization of the results for DDoS attack detection. For this, the Intrusion Detection System concept was used with the application of the Data Mining and Machine Learning Orange tool to obtain better results, in Portuguese language. CIACA - Conferencia Ibero-Americana Computa\c{c}\~ao Aplicada 2022 Proceedings

This work presents the design and implementation of a decentralized application (DApp) that aims to guarantee the privacy of data related to the health area, which are stored and shared within a blockchain network. For this, encryption with RSA, ECC and AES algorithms is used. The platforms, technologies, tools and libraries required for development are presented, as well as implementation details., in Portuguese language

Advances in image processing and analysis as well as machine learning techniques have contributed to the use of biometric recognition systems in daily people tasks. These tasks range from simple access to mobile devices to tagging friends in photos shared on social networks and complex financial operations on self-service devices for banking transactions. In China, the use of these systems goes beyond personal use becoming a country's government policy with the objective of monitoring the behavior of its population. On July 05th 2021, the Brazilian government announced acquisition of a biometric recognition system to be used nationwide. In the opposite direction to China, Europe and some American cities have already started the discussion about the legality of using biometric systems in public places, even banning this practice in their territory. In order to open a deeper discussion about the risks and legality of using these systems, this work exposes the vulnerabilities of biometric recognition systems, focusing its efforts on the face modality. Furthermore, it shows how it is possible to fool a biometric system through a well-known presentation attack approach in the literature called morphing. Finally, a list of ten concerns was created to start the discussion about the security of citizen data and data privacy law in the Age of Artificial Intelligence (AI)., 8 pages in Portuguese and 5 figures, Top 3 among the best papers at the ENIAC 2022

This work was conceived based on Project-Based Learning (ABP) and presents the design, development and mathematical modeling steps of a low-cost robotic manipulator with five degrees of freedom through an interdisciplinary project linking two very important disciplines of the course of Control Engineering and Automation of the University of Fortaleza: Computer Aided Design, Microcontrollers and Industrial Robotics. At the end are presented the results that the project has brought to the best learning of the discipline on the optics of the tutor and students., in Portuguese language

Monolithic applications are being decomposed to a microservices architecture, aiming to improve maintainability, performance and modularization. Although such decompositions have now been widely carried out in the industry, little is reported in the literature about the impacts of these decompositions. This work, therefore, reports a case study carried out to investigate the impacts of the decomposition of a real industry application for microservices architecture. The target application of the study refers to a raid operation, performed by a financial institution, which was extracted from a monolithic application to an application based on microservices. In particular, metrics were applied to monolithic and microservice-based applications, aiming to quantify coupling, cohesion, CPU consumption and memory consumption. The results obtained show that the microservices architecture generated better results for the software modularity metrics, in addition to lower memory and CPU consumption. Finally, this work brings insight and points out challenges and future directions of research that need to be explored by academia and industry., in Portuguese

This article describes a proposal to create a digital currency that allows the decentralized collection of resources directed to initiatives and activities that aim to protect the Brazilian Amazon ecosystem by using blockchain and digital contracts. In addition to the digital currency, the goal is to design a smart contract based in oracles to ensure credibility and security for investors and donors of financial resources invested in projects within the Standing Forest Coin (SFC - standingforest.org)., in Portuguese

This work investigates the use of two-stage clustering methods. Four techniques were proposed: SOMK, SOMAK, ASCAK and SOINAK. SOMK is composed of a SOM (Self-Organizing Maps) followed by the K-means algorithm, SOMAK is a combination of SOM followed by the Ant K-means (AK) algorithm, ASCAK is composed by the ASCA (Ant System-based Clustering Algorithm) and AK algorithms, SOINAK is composed by the Self-Organizing Incremental Neural Network (SOINN) and AK. SOINAK presented a better performance among the four proposed techniques when applied to pattern recognition problems., 20 pages, in Portuguese, 10 figures, 6 tables

This works proposes a methodology to searching for automatically Artificial Neural Networks (ANN) by using Cellular Genetic Algorithm (CGA). The goal of this methodology is to find compact networks whit good performance for classification problems. The main reason for developing this work is centered at the difficulties of configuring compact ANNs with good performance rating. The use of CGAs aims at seeking the components of the RNA in the same way that a common Genetic Algorithm (GA), but it has the differential of incorporating a Cellular Automaton (CA) to give location for the GA individuals. The location imposed by the CA aims to control the spread of solutions in the populations to maintain the genetic diversity for longer time. This genetic diversity is important for obtain good results with the GAs., 35 pages, in Portuguese, 4 figures, 7 algorithms

The serverless computing model strengthens the cloud computing tendency to abstract resource management. Serverless platforms are responsible for deploying and scaling the developer's applications. Serverless also incorporated the pay-as-you-go billing model, which only considers the time spent processing client requests. Such a decision created a natural incentive for improving the platform's efficient resource usage. This search for efficiency can lead to the cold start problem, which represents a delay to execute serverless applications. Among the solutions proposed to deal with the cold start, those based on the snapshot method stand out. Despite the rich exploration of the technique, there is a lack of research that evaluates the solution's trade-offs. In this direction, this work compares two solutions to mitigate the cold start: Prebaking and SEUSS. We analyzed the solution's performance with functions of different levels of complexity: NoOp, a function that renders Markdown to HTML, and a function that loads 41 MB of dependencies. Preliminary results indicated that Prebaking showed a 33% and 25% superior performance to startup the NoOp and Markdown functions, respectively. Further analysis also revealed that Prebaking's warmup mechanism reduced the Markdown first request processing time by 69%., in Portuguese

This paper presents a localization method for indoor environments capable of improving the location accuracy that is hampered by instability in RSSI of the IEEE 802.11 networks. The method employs the k-Nearest Neighbors (kNN) algorithm and quartiles analysis in the data representation. The proposal had null error with only four APs and 10 readings per sample of each AP with just 0.69 second to locate. These values are important contributions, confirming that the method is promising to locate objects in indoor environments., in Portuguese. Simposio Brasileiro de telecomunicacoes e processamento de sinais, SBrT 2019. p. 1-5, Petropolis, RJ

This research starts with the observation that face recognition can suffer a low impact from significant image shrinkage. To explain this fact, we proposed the Pixel Clustering methodology. It defines regions in the image in which its pixels are very similar to each other. We extract features from each region. We used three face databases in the experiments. We noticed that 512 is the maximum number of features needed for high accuracy image recognition. The proposed method is also robust, even if only it uses a few classes from the training set., 21 pages, in Portuguese, 5 figures, book chapter, recortado (adapatado) da tese

Optimization and Stochastic Processes Applied to Economy and Finance -- is the name of this book translated to English; It has been used at the IME-USP - The Institute of Mathematics and Statistics of the University of Sao Paulo, since 1993. Contents: Ch.1: Linear Programming; Ch.2: Non-Linear Programming; Ch.3: Quadratic Programming; Ch.4: Markowitz Model; Ch.5: Dynamic Programming; Ch.6: LQG Estimation and Control; Ch.7: Decision Trees; Ch.8: Pension Funds; Ch.9: Mixed Portfolios Including Derivative Contracts; Appendices: App.A: Matlab; App.B: Critical-Point Software; App.C: Computational Linear Algebra; App.D: Probability; App.E: Computer Codes. This book is written in Portuguese language., in Portuguese

In this work we deal with the problem of grouping in headlines of the newspaper ABC (Australian Bro-adcasting Corporation) using unsupervised machine learning techniques. We present and discuss the results on the clusters found, in Portuguese

The technical debt (TD) metaphor is widely used to encapsulate numerous software quality problems. She describes the trade-off between the short term benefit of taking a shortcut during the design or implementation phase of a software product (for example, in order to meet a deadline) and the long term consequences of taking said shortcut, which may affect the quality of the software product. TDs must be managed to guarantee the software quality and also reduce its maintenance and evolution costs. However, the tools for TD detection usually provide results only considering the files perspective (class and methods), that is not usual during the project management. In this work, a technique is proposed to identify/visualize TD on a new perspective: software features. The proposed technique adopts Mining Software Repository (MRS) tools to identify the software features and after the technical debts that affect these features. Additionally, we also proposed an approach to support maintenance tasks guided by TD visualization at the feature level aiming to evaluate its applicability on real software projects. The results indicate that the approach can be useful to decrease the existent TDs, as well as avoid the introduction of new TDs., in Portuguese, Aceito no XVIII Brazilian Symposium on Software Quality (SBQS'19), October 28-November 1, 2019, Fortaleza, Brazil

An evergreen scientific feature is the ability for scientific works to be reproduced. This feature allows researchers to understand, enhance, or even question works that have been developed by other scientists. In control theory the importance of modeling and simulation of systems is widely recognized. Despite this recognition, less attention is paid to the effects of finite precision of computers on the simulation reproducibility of nonlinear dynamic systems. In this work, a case study of reproducibility is presented in the simulation of a chaotic Jerk circuit, using the software LtSpice. In order to do so, we performed simulations of the circuit in the same version of the software on different computers, in order to collect the data and compare them with experimental results. The comparison was made with the NRMSE (Normalized Root Mean Square Error), in order to identify the computer with the highest prediction horizon. Tests performed in 4 different configurations showed the difficulties of simulation reproducibility in LtSpice. The methodology developed was efficient in identifying the computer with better performance, which allows applying it to other cases in the literature., SBAI 2019 - Simposio Brasileiro de Automacao Inteligente - Ouro Preto. 6 pages. In Portuguese

Educational Data Mining (EDM) shows interesting scientific results lately. However, little has been discussed about philosophical questions regarding the type of knowledge produced in this area. This paper aims to present two epistemological issues in EDM: (i) a question of ontological nature about the content of the knowledge obtained; and (ii) a question of deontological nature, about the guidelines and principles adopted by the researcher in education, to the detriment of the results of his own research. In the end, some considerations and guidelines are outlined as a result of the discussion of the issues raised., 10 pages, in Portuguese. Brazilian Symposium on Computers in Education

The main goal of this paper was to analyze the importance that the effects of learning and forgetting might have in a lot-sizing problem. It assumes that the learning curve and the economies of scale are present in several industries yet are, in most cases, not considered when dealing with a lot-sizing problem. The importance of the effects was demonstrated and quantified, showing that there is still space for developments in this field. However, as the problem becomes quadratic, there is a possibility that the current algorithms are not able to solve the problem to optimality. Thus, future improvements in the algorithms may further improve the results. However, the overall results found with current algorithms show that the contribution of a discount from a learning curve can be very considerable, even if it is a minimal amount., in Portuguese

With the increasing volume of data and users of curriculum systems, the difficulty of finding specialists is increasing.This work proposes an open data extraction methodology of the Lattes Platform curricula, a treatment for this data and investigates a Recommendation Agent approach based on deep neural networks with autoencoder., 7 pages, in Portuguese, 3 figures

Although feature models are widely used in practice, for example, representing variability in software product lines, their integration is still a challenge. Many integration techniques have been proposed, although none of these have proven to be fully effective. Integrating feature models becomes a difficult, costly, error-prone task. Since their transition occurs in a generalized and automated way, the techniques applied to compose the models end up giving rise to a final model, in many cases undesired, without taking into account the specific needs arising from the requirements determined by the analysts and developers. Therefore, this work proposes FMIT, a technique for integrating feature models. The FMIT is based on contemporary model integration strategies to increase the accuracy and quality of the integrated feature model. In this way, it will be possible to identify the degree of similarity between composite feature diagrams, to verify their accuracy, as well as to identify conflicts. In addition, this work proposes the development of a prototype based on the set of strategies, used to take decisions according to the requirements established during the integration of feature models, whether this is semi-automatic or automatic. To evaluate FMIT, experimental studies were conducted with 10 participants, including students and professionals. Participants performed 12 integration scenarios, 6 using the FMIT and 6 manually. The results suggest that FMIT improved accuracy by 43\% of the cases, as well as reduced the effort by 70\% to perform the integrations., masters thesis, in Portuguese

The Luruaco Lake located in the Department of Atl\'antico, Colombia, is damaged by the discharge of untreated sewage, bringing risks to the health of all who use its waters. The present study aims to perform the numerical simulation of the concentration dynamics of fecal coliforms in the lake. The simulation of the hydrodynamic flow is carried out by means of a two-dimensional horizontal (2DH) model, given by a Navier-Stokes system. The simulation of fecal coliform transport is described by a convective-dispersive-reactive equation. These equations are solved numerically by the Finite Difference Method (FDM) and the Mark and Cell (MAC) method, in generalized coordinates. Regarding the construction of the computational mesh of the Luruaco Lake, the cubic spline and multiblock methods were used. The results obtained in the simulations allow a better understanding of the dynamics of fecal coliforms in the Luruaco Lake, showing the more polluted regions. They can also advise public agencies on identifying the emitters of pollutants in the lake and on developing an optimal treatment for the recovery of the polluted environment., Comment: 13 pages, in Portuguese, 4 figures

For an offer of the same course for thousands of students, for face-to-face or distance learning, some uniformities must be adopted to allow a comparison of performance in the teaching-learning processes. The Evaluation Unified Process (EUP) was designed and used in an introductory programming course called the Information Process (IP) for students of the Bachelor of Science and Technology of the Federal University of ABC. Initially, the face-to-face scenario (IP-Class) is presented, pointing out the problems identified, describing the EUP designed and applied in mixed learning environments (IP-BL), including the use of software tools developed for this purpose. The two scenarios (IP-Class and IP-BL) are compared with the use of data from all classes of the last 9 years of course application., 29 pages, in Portuguese, 8 figures, 11 tables

One the major challenges in undergraduate computing programs is the learning of object-oriented programming (OOP). This paradigm has a variety of concepts with an abstraction level usually high for most beginners, even the ones who already code in an imperative language. Furthermore, transitioning from imperative programming to OOP is a complex issue, with various inappropriate side effects. A significant effort has been pursued in the search of motivating and attractive solutions for such issues. One of those is the use of playful environments that merge games with learning. In this work, we report our experience with OOP learning workshops by means of games, challenges and competitions, supported by Greenfoot and Robocode learning environments. A workshop with sophomore students in a Computer Engineering program is presented here. Lessons learning to motive students include: design of motivating examples, use of competitive challenges, and an appropriate ratio between tutors and students. Results suggest that the workshop was a practical and effective way to introduce OOP and motivate students to learn it., 10 pages, 3 figures, 2 tables, COBENGE 2015 - XLIII Congresso Brasileiro de Educa\c{c}\~ao em Engenharia, in Portuguese

Virtual learning environments are actual solutions that facilitate collaborative learning, both in classroom and distance education. However, such environments are not yet fully disseminated in Brazilian universities. This work reports a learning experience designed as a workshop that aims to popularize the use of the Canvas virtual learning environment in an university. The workshop emphasizes the support to collaborative learning through resources of the environment. Learned lessons include: the value of adequate planning of workshop activities; the potential of the environment regarding various uses by instructors; and the relevance of collaborative learning for instructors., 9 pages, 2 tables, in Portuguese

This article presents a design of the logistic map by means of FPGA (Field Programmable Gate Ar-ray) under fixed-point standard and 32-bits of precision. The design was carried out with Altera Quartus platform. The hardware description language VHDL-93 has been adopted and the results were simulated by means of Altera ModelSim package. The main of the project was to produce a cha-otic system with a low energy and time cost. Using the VHDL, it was possible to use only 1439 logical gates from 114480 available. The Lyapunov exponent has been calculated with good agreement with literature reference, which shows the effectiveness the proposed method., XIII Simposio Brasileiro de Automacao Inteligente - SBAI2017 - Porto Alegre - Brazil. In Portuguese

The aim of this paper is to present the results of the land use dynamic simulations in the municipality of Paragominas-PA. The simulation is based on models built from past land use data and spatial variables of the natural environment and infrastructure. Two spatial units were analyzed: the central area of commercial agricultural production and the area of settlements and smallholdings the east. The results show distinct spatial dynamics between the analyzed areas, among which we highlight the role of soil characteristics and, associated with the topography and the occupation history, are part of the context in which is defined rationality producers. Considering the transition from forest to pasture in the commercial farming area most often associated soils are sandy. This raises the following hypothesis: the deforestation that occurred in the period are related to livestock activities. Livestock favors access to water and low fertility sands does not affect production. On the other hand, the soybean expansion occurred preferentially on existing pastures and on clay soils (Belterra clay), reducing the availability of pastures on these soils. The relative importance of types of soil increases with time. In the area of settlements, the transition from forest to pasture and family crops occurred preferentially on the variegated clay. However, it is possible that the prevalence of this transition on this texture has been given due more to the history of occupation of this area. Historically the sandy valleys were the first to be occupied, and the continuity of the deforestation occurred toward the slopes dominated by variegated clay and plateaus with Belterra clay. These associations observed indicate that, within a wider context of social, economic and political factors, natural variable factors in space are important for the choice of managements in the properties, but they are done differently in the territory, and the best knowledge of these relationships are useful for territorial planning., Comment: in Portuguese

With the recent emergence and the explosion of users in social networks, Internet users have come to know more about other people or companies through information obtained from online groups or communities and therefore meet new opportunities. An avalanche of diverse and unstructured information is created every minute, for billions of devices connected to the Internet all the time. Analyze, process, understand and evaluate these data, it is a challenging task, given the volume, velocity and variety of information from these social networks. However, a better understanding of the process of monitoring networks and the use of tools of this kind are essential for people, companies and the academic world. The application of monitoring systems, information management and the possibility of bringing brands to people, are some positives that this research will provide better knowledge of the problems. In this research will be analyzed monitoring tool of social networks SCUP, its details, its features and the tool related to business management. In conclusion, we present all the peculiarities of the software and the possibilities applicable in the corporate environment, as aid to decision making., 106 pages, in Portuguese, 18 figures, 3 tables, 38 references

In recent years there has been an increasing use of embedded systems because of advances in technology, the reduction of the costs of electronic equipment and mainly the popularity of mobile devices. Many of these systems implement low power consumption policies to extend their autonomy, usually because they have a reduced amount of resources and the great majority of them use electric power from batteries. One way to minimize the power consumption of these devices is through of the application of low power consumption techniques. From the various techniques presented in the literature - the intra-task Dynamic Voltage and Frequency Scaling (DVFS) has played an important role. The main aim of DVFS is to allow each task to manage the minimum resources necessary for tasks execution, this way reducing the processor power consumption and, at the same time, respecting the task deadlines when considered a real-time system context. Therefore, this paper aims to apply a systematic literature review with the goal of identifying and presenting the main methods using the intra-task DVFS technique, applied in the context of real-time systems to reduce energy consumption on the processor. Finally, this work will show the advantages and disadvantages of each cataloged methodology., 94 pages, in Portuguese

A systematic mapping is a way to identify, evaluate and interpret all relevant research available to a matter of particular research. One of the reasons for conducting systematic reviews is that it summarizes the existing evidence regarding treatment or technology [Kitchenham, 2004]., in Portuguese

Este artigo constitui a primeira an��lise bibliom��trica das 708 comunica����es publicadas pelo Congresso Nacional de Bibliotec��rios, Arquivistas e Documentalistas entre 1985 e 2012, tendo-se desenvolvido indicadores de produ����o, de produtividade, de proveni��ncia institucional e an��lise tem��tica, numa perspectiva quantitativa, relacional e diacr��nica. Os seus resultados apresentam um Congresso din��mico, essencialmente nacional e profissional, com uma forte preponder��ncia da autoria individual, apesar do recente crescimento da taxa de colabora����o. Na sua abordagem tem��tica, �� dado realce aos servi��os p��blicos de informa����o, com maior destaque para o mundo das bibliotecas, tendo tamb��m import��ncia constante as reflex��es sobre a forma����o profissional e acad��mica na ��rea da Ci��ncia da Informa����o, bem como o acompanhamento dos mais recentes desenvolvimentos tecnol��gicos., Cadernos BAD, N.�� 1/2 (2013): 50 anos dos Cadernos e 40 anos da BAD

This work aims at generating a model of the ocean surface and its dynamics from one or more video cameras. The idea is to model wave patterns from video as a first step towards a larger system of photogrammetric monitoring of marine conditions for use in offshore oil drilling platforms. The first part of the proposed approach consists in reducing the dimensionality of sensor data made up of the many pixels of each frame of the input video streams. This enables finding a concise number of most relevant parameters to model the temporal dataset, yielding an efficient data-driven model of the evolution of the observed surface. The second part proposes stochastic modeling to better capture the patterns embedded in the data. One can then draw samples from the final model, which are expected to simulate the behavior of previously observed flow, in order to determine conditions that match new observations. In this paper we focus on proposing and discussing the overall approach and on comparing two different techniques for dimensionality reduction in the first stage: principal component analysis and diffusion maps. Work is underway on the second stage of constructing better stochastic models of fluid surface dynamics as proposed here., a reduced version in Portuguese appears in proceedings of the XVI EMC - Computational Modeling Meeting (Encontro de Modelagem Computacional), 2013

A presente pesquisa teve como objetivo avaliar a efetividade dos sistemas de informação disponíveis nas agroindústrias torrefadoras e beneficiadoras de café em Porto Velho – RO. Para tanto, sistematizou-se um referencial teórico acerca dos avanços tecnológicos da sociedade da informação, particularizando alguns conceitos de sistemas de informação e reflexões teóricas sobre a avaliação dos mesmos. É um estudo descritivo, utilizando-se de técnicas de entrevistas e aplicação de formulários com perguntas semi-estruturadas e a observação sistemática in loco. A análise dos dados observados revelou que os sistemas de informação existentes estão facilitando e contribuindo na realização dos trabalhos pelos usuários, fornecendo as informações que precisam, bem como atendendo as atuais necessidades de informação dos gerentes ou tomadores de decisão das agroindústrias de café pesquisadas.--------------------------------------------------This study aimed to evaluate the information systems effectiveness available in coffee agricultural industries torrefadoras and beneficiadoras in Porto Velho - RO. Thus, it was codified a theoretical referential about the technological advances of the information society, specifying some concepts of information systems and theoretical reflections on the evaluation of them. It is a descriptive study, using of interviews techniques and forms application with semi-structured questions and systematic observation spot. The analysis of observed data revealed that existing information systems are facilitating and contributing on the work realization for users, providing the information needed, as well as supplying the current needs of managers information or decision-makers of coffee agriindustries surveyed.