Ana Carolina Borges Monteiro

Centro de Tecnologia da Informação Renato Archer | CTI

Technology-related innovations come around the clock with new functionality, a new way of looking at the world, and getting things done. All areas are changing conceptions, and with health, machine learning is the landscape, which preserves its origins in the knowledge of related areas in artificial intelligence, such as pattern recognition and com...

The use of machine learning is of fundamental importance for health professionals and managers, given its potential to carry out secondary or field data (primary) surveys for the preparation of datasets on patient behaviors and habits, recurrence of laboratory tests, evolution of health and well-being diagnoses and practices, as well as the develop...

Industrial Internet of Things (IIoT) is an integral part of cyber-physical production systems and processes, characterizing the use of modern and disruptive technologies (big data, IoT, and artificial intelligence (AI) among others) to produce consumer goods, considering real-time data from sensors and other sources of information assisting industr...

In blockchain technology, there is no central authority controlling what happens, but there is a need for a consensus between more than half of the participants who check and validate the transaction. The IoT enables intelligent interconnection between these devices, everywhere through the internet. The use of IoT enhances the use of solutions base...

Through the use of AI in diagnostic medicine provides accurate and safe diagnoses in the evaluation of exams. Image recognition is not an easy task, as this can be achieved with the ability to organize images in an automated way provided by machine learning, classifying this based on identified patterns, particular objects, and grouping them themat...

Cognitive computing allows machines and systems to interpret data, collect information from them, and identify trends. It is based on models of neural networks and statistical and probabilistic models of in‐depth learning, enabling systems to be able to read content and understand its domain, and also allowing these systems to be able to store all...

The advent of solutions with AI (Artificial Intelligence) technology means tools and software that integrate resources that automate the process of making algorithmic decisions. Simply put, AI consists of systems or machines that mimic human intelligence to perform tasks improving iteratively over time based on the information collected. Thus, IoT...

The internet of things (IoT) is characterized by devices that communicate without human interference, sending and receiving data online, to which they have shaped the way of connecting household appliances, machines, and equipment, cars, among other things, also arriving at the field through characterized by the communication between devices, senso...

This chapter aims to provide an updated overview consisting of a scientific major contribution regarding Artificial Intelligence (AI) directed at sensors, in applications involving intelligent technologies such as Machine Learning or Deep Learning. And so, approaching and addressing the topic with a bibliographic background, synthesizing the potent...

Cognitive computing makes a computational device think digitally and interact in the same way that human beings do, while also highlighting that the factor to distinguish “traditional” computing from cognitive computing, is intelligent digital learning, achieved through artificial neural networks (ANN), elements from artificial intelligence (AI) th...

The emergence of the cognitive system marks a new era in computing through learning algorithms results in technology capable of interpreting this data and can be used for a variety of purposes, such as categorizing tumor cells for a laboratory or cataloging photos of skin or breast cancer in patients, entre outros, such as measuring the proportions...

Electrical networks are designed to meet the objective of guaranteeing the delivery of electricity to consumers. However, there are usually obstacles to the connection of self-produced electric power to existing networks, considering vulnerability to natural disasters and physical attacks, and even the increased use of digital technology, making ne...

Cognitive computing is derived from self-learning systems employing techniques to accomplish particular human tasks intelligently, consisting of technologies that work in a complementary way, being the most advanced resources to have the generation of insights, capable of processing information similar to the way the human brain does. Machine learn...

Microgrids operate independently of the primary energy distribution network (islands) or synchronized with the primary energy distribution network. Microgrids are small-scale electrical networks that are often powered by a combination of solar, wind, or biomass energy to provide reliable green energy, though they may use fossil fuel energy resource...

Combinatorial Optimization is closely linked to combined optimization problems, among which there is a finite (large) set of solutions, reduced to better. These problems are modeled as problems of maximizing (or minimizing) a function whose variables must obey certain restrictions, using the objective function or function used, which is an area of...

Cognitive computing aims to implement a unified computational theory similar to human thought, consisting of systems whose objective is to mimic human mental tasks based on the concepts of artificial intelligence and machine learning generating and understanding knowledge. Deep learning is an abstraction of the biological neural network, and can un...

Artificial intelligence (AI) has the objective to produce devices that reproduce human capacity in the spheres of reasoning, awareness, guidance, decision making, and collaboration in problem-solving. Its operation is based on a stimulus from the outside world centered on data analysis; it is usually related to Machine Learning. AI in Education als...

Representing the connection between the physical world and the constant transmission of virtual data, the IoT allows all objects to be connected to each other over the internet. With the objective of providing personalized service, considering the technologies used to achieve these goals, they can take various forms. In that sense, applied this tec...

Energy storage is considered as the solution to the bottlenecks of intermittent generation of renewable sources like solar and wind. In many countries energy storage is being used to solve other demands of the electrical system such as eliminating overloads in the transmission lines or even stabilizing the voltage variations occurring in the distri...

In the health context, when it relates to medical devices, IoT consists of the evolution of IoMT, having its applications evaluating the central objective in offering customized treatment. IoMT uses either through mobile devices with smart applications, guided by data generated through connected devices, service applications, emergency care kits, m...

Diagnostic imaging is in itself an important technological evolution, which represented an advance in the way diseases are diagnosed, originating from the digital age in diagnostic medicine, assessing the current digital transformation experienced by health organizations. It allows, with the use of Artificial Intelligence (AI) in diagnostic medicin...

The IoT concept comes from products that go from the refrigerator to the washing machine, even smart sensors and smart devices that can be connected and regulated by mobile devices. In this sense, as the automotive industry continues to accelerate towards connected cars, more Internet of Vehicles (IoV) solutions, which technology would be similar t...

Smart cities are those that use science, engineering, artificial intelligence, digital knowledge, and other technologies to progress the well-being of residents, boost economic development, and at the same time, promote and favor sustainability, as also to improve infrastructure, optimize urban mobility, and engender solutions sustainable, to gener...

Blockchain, in this innovative context of digital transformation, is nothing more than a chain of digital blocks, in which each block has a specific data and a code that connects to the previous block, and consequently, a chain is created that protects the information. The relationship between Blockchain and information security comes from the dece...

The Semantic Web supports a set of technologies that exploit the standardization of the semantic representation of informational resources available on the web, representing the evolution of the current web. It provides a mechanism for formatting data in a machine-readable manner. Helping people in certain activities are done manually and end up co...

Artificial Intelligence (AI) is a fascinating technology for the whole society, whether the citizen, science, business, education, government, among others. Machine Learning is a technique derived from AI that through neural networks and statistical methods, establishes logical rules to make decisions and automate processes, i.e., a method employed...

The explosive growth of the Internet of Things (IoT) devices and the growing computing power of these devices has resulted in unprecedented volumes of data. Which will continue to crest as communication networks increase the number of connected mobile devices. Edge computing is an open and distributed architecture that features decentralized proces...

Given the numerous technological advances in communication reaching the health sector, the accelerated growth of telemedicine can be observed. This medical practice can be defined by the use of telecommunication means to provide care, health promotion, treatment, information exchange between doctors and researchers, and also for various health rese...

Cloud computing consists of providing computing services and re-sources, including servers, storage, databases, networking, software, analytics, and intelligence, over the Internet (“the cloud”) to deliver faster innovation, flexible capabilities, and economies of scale. Big Data refers to a large amount of data, coming from controlled or uncontrol...

Metaheuristics have proven to be a powerful tool for roughly solving optimization problems, applied to find answers to problems about which there is little information. In general, meta-heuristics use a combination of random choices and historical knowledge of the previous results acquired by the method to guide and search the search space in neigh...

Smart cities are a rapidly evolving reality that is emerging as a path to be followed in the development of urban centers outline at the sustainability and quality of life of its inhabitants worldwide. They surprise us with the creativity of the solutions for more efficient use of available resources, reducing the impact of our lives on the environ...

Human blood is composed of liquid and solid elements, blood cells being extremely important for the assessment of the patient’s health status. Blood consists of plasma and cellular elements, which include blood cells and cellular fragments. Erythrocytes are blood cells containing a large amount of hemoglobin which is the pigment responsible for the...

The aid-computer assistant is important for the improvement in the diagnostic of skin lesions, principally to detect melanoma, which is the most dangerous skin cancer type. The principal goal of the aid-computer assistant is to detect melanoma in its initial stage because the probability of the five-year survival ratio is over 95%. With the purpose...

This work aims to total the reality of cities through some Brazilian electronic data e-Gov, and other research conducted and counteracted with the latest assumptions proposed by smart cities governance models (CI) and intelligent governance (IG) increasingly imposed by the information society and network, realizing the new social engineering of col...

The number of devices connected to the Internet and among themselves is increasing. Internet of Things (IoT) is a large Web that creates interconnection of devices and objects to the Internet, making an immense sea of information and data. This concept is fundamental in business strategy; however, as security risks increase with so many “things” co...

The Internet of Things (IoT) has grown wildly in the last years but the security of the generated data has not improved at the same proportion as the number of devices connected to the Internet has multiplied, and this is very worrying because privacy is one of the most important topics when a private IoT application is developed. As the growing nu...

Industry 4.0 brings with it a lot of technology in the areas of communication, artificial intelligence, Internet of Things (IoT), and others. One of the great challenges for all these activities is in the design of the hardware including not only the electronic electron project but also the printed circuit board (PCB) design. Working with signals i...

It is extremely important to point out that through quantum computing, it is possible to obtain results previously unachievable until then by traditional computing. Based on this, this paper aims to give an overview and glimpse of the potential horizon of this area of study that has become increasingly robust in computing over the recent past. It i...

Information security is essential for any company that uses technology in its daily routine. Cybersecurity refers to the practices employed to ensure the integrity, confidentiality, and availability of information, consisting of a set of tools, risk management approaches, technologies, and methods to protect networks, devices, programs, and data ag...

Human papillomavirus, commonly referred to as HPV, is a virus with tropism by differentiating tissues. Its pathogenesis is related to the disorder of genes that inhibit cell apoptosis and cell suppression, this fact favors its action and spread by an organism. Due to these characteristics, HPV is associated with cervical, anus, head, and neck cance...

Since ancient times, human beings have been looking for alternative methods to detect and diagnose diseases, mainly by assessing patients’ body fluids. The creation of the microscope contributed to the development of modern techniques of clinical analysis, as this instrument allowed the visualization of structures invisible to the naked eye and ope...

Autonomous cars range from those with a slightly higher degree of driving assistance to those capable of driving without human interference, since the technologies are the same in both, further changing the way they are integrated into the on-board computer. Contributing from a number of components that work together to ensure that a self-driving c...

With the population growth, the Petrobras modernization REPLAN (Paulinia Refinery), the progressive region development and the shortage of resources from new wellsprings, there was a need to increase the water availability of the region of Campinas—SP and with that will be implanted two dams, one in the municipality of Quarry—SP and another in the...

The public corruption and illicit market correspond to the greatest global challenges to be overcome by governments worldwide (Transparency International 2017). According to the Corruption Perceptions Index 2017, for 180 countries/territories studied, most of them are making little or no progress in ending corruption in the public sector. The publi...

Big data is the analysis and interpretation of large volumes of data of great variety. This requires big data-specific solutions that enable IT professionals to work with unstructured information at a great speed. Cloud computing is the on-demand delivery of computing power, database storage, applications, and other IT resources over the internet w...

The internet of things (IoT) is characterized by devices that communicate without human interference, sending and receiving data online, to which they have shaped the way of connecting household appliances, machines, and equipment, cars, among other things, also arriving at the field through characterized by the communication between devices, senso...

Most of the decisions taken in and around the world are based on data and information. Therefore, the chapter aims to develop a method of data transmission based on discrete event concepts, being such methodology named CBEDE, and using the MATLAB software, where the memory consumption of the proposal was evaluated, presenting great potential to int...

This book presents the proceedings of the 5th Edition of the Brazilian Technology Symposium (BTSym). This event brings together researchers, students and professionals from the industrial and academic sectors, seeking to create and/or strengthen links between issues of joint interest, thus promoting technology and innovation at nationwide level....

NB-IoT is the most suitable mobile network technology for IoT applications that require exceptionally extensive coverage added with extremely low power consumption, since these applications will generally be characterized by low data rates and moderate reaction times, usually in a few seconds, enabling the creation and development of solutions aime...

The Semantic Web concept is an extension of the web obtained by adding semantics to the current data representation format. It is considered a network of correlating meanings. It is the result of a combination of web-based conceptions and technologies and knowledge representation. Since the internet has gone through many changes and steps in its we...

MIMO is the technology that allows equipment to work with both polarizations at the same time, both horizontally and vertically, and the devices make this function as a download-only polarization and another upload-only polarization. Others still do not do either of these controls and connect using both biases at the same time, so the data transfer...

Improving diagnostics has been one of the most important challenges facing health systems in recent years, due to innovation and scientific research, image classification techniques, medical information management systems brought about by health technology, and developments never seen before that enable major breakthroughs in the areas of preventio...

Nowadays, data is generated all the time on the internet. Faced with this scenario, technologies have emerged to take advantage of this feature, so that in addition to just being able to measure and understand where they come from, it is possible for them to be collected, quantified, decoded, and analyzed, allowing the understanding of behaviors an...

Translational medicine is a new paradigm that emerged to accelerate the transfer of knowledge generated on the bench to medical practice, involving clinical research, to produce benefits for the community as a whole. The objective is the formation of multidisciplinary teams to create a culture of approximation of the basic area with the clinical ar...

Interdisciplinarity has been responsible for solving several problems in medical science and its areas, which is the purpose of translational medicine. A large part of the population of the world is harmed by the difficulty of access to health, commonly generated by the lack of financial resources. The diagnosis of leukemia is given to 257,000 peop...

Web 2.0 is the evolution of the web. Seen as a new and second movement of access to information through the world wide web, Web 2.0 brings interactivity and collaboration as the main keys to its functioning. It is now possible and simpler and faster to send information at any time, by any user connected to the internet. The ease of uploading inform...

Background: Most diseases can be detected by routine examination, even if they are in the initial phase. Currently, one of the most requested medical laboratory tests is that which allows detecting from bacterial infections until leukemias. However, for less favored populations, this examination can be seen as having a high cost. Methods: Thus, thi...

Remote Sensing (RS) applications generally require robustness, stability, accuracy, promptness, and a high autonomy level to simplify the Big Data (BD) processing in real-time. Image Registration (ImR) is among the most employed RS tasks. ImR transforms different groups of images into a coordinate system that allows overlaying two or more images fr...

The growing use of digital image processing techniques focused on health is explicit, helping in the solution and improvements in diagnosis, as well as the possibility of creating new diagnostic methods. The blood count is the most required laboratory medical examination, as it is the first examination made to analyze the general clinical picture o...

In the last decades because of the subsequent rise in the prices of fossil fuels, the application of sustainable energies like solar energy and wind energy has been increased. A combined energy generation system containing a wind turbine and photovoltaic system is studied. Such a hybrid system has more efficiency from the single wind turbine or a s...

Power companies in the worldwide have been restructuring their electric power systems from a vertically integrated entity to a deregulated and open-market environment. In the past, electric utilities usually look for maximizing the social welfare of the system with distributional equity as their main operational criterion. The operating paradigm wa...

In this paper, a new optimized method is introduced for the optimal control of a DC motor based on a proportional-integral-derivative (PID) controller. In this study, an improved version of the whale optimization algorithm has been adopted for optimal selection of the PID controller parameters for optimal control of the DC motor speed along with mi...

Metaheuristics have proven to be a powerful tool for roughly solving optimization problems, applied to find answers to problems about which there is little information. In general, meta-heuristics use a combination of random choices and historical knowledge of the previous results acquired by the method to guide and search the search space in neigh...

As various areas of discipline continue to progress into the digital age, diverse modes of technology are being experimented with and ultimately implemented into common practices. Mobile products and interactive devices, specifically, are being tested within educational environments as well as corporate business in support of online learning and e-...

Cloud services have become very popular in recent years, where sharing, transmitting and storing data has been one of the great needs of today. In the last years, concepts and developed methodologies of cloud computing systems have been improved. And considering the current situation of the planet, the concepts of economic development are increasin...

In Rashmi Agrawal, Marcin Paprzycki, Neha Gupta (Ed.), Big Data, IoT, and Machine Learning Tools and Applications, chapter 8, CRC Press, Boca Raton, 2020, doi: 10.1201/9780429322990 Big data refers to storing a huge amount of data, as well as the ability to derive value from that information at a rapid rate. This technology is based on 5 Vs, which...

Every day more and more the world produces, stores, and analyzes millions of dollars, be they telecommunications, medicine, companies, management, and people, among others. In this context, computational simulations are an important ally both for the analysis and for the creation of new methodologies that aid in the management of different types of...

Generally, parameters in the mathematical models of engineering problems are considered deterministic. Although, in practice, there are always some uncertainties in the model parameters. Uncertainty can make an accurate or even wrong representation for the analyzed model. there is a wide reason which cause the uncertainties, like: measurement er...

Digital Imaging and Communications in Medicine (DICOM) is a consolidated standard intended for communication and management of big and diverse types of biomedical images (including histological visual data). DICOM also supports image coding, storage, as well as exchanging of the associated qualitative/quantitative knowledge extracted from images. T...

A non-isolated three-port DC-DC converter for low-power applications is proposed. This type of framework can be used in conjunction with photovoltaic cells.

In this paper, image noise reduction has been formulated as an optimization problem. The target image is denoised using a low-rank approximation of a matrix. Considering the fact that the smaller pieces of the picture are more similar (more dependent) in natural images, therefore, it is more logical to use low-rank approximation on smaller pieces o...