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Syphilis, a sexually transmitted infection, is a growing public health concern. Communication strategies have been applied to alert and educate the population of the risks of the disease. This applied study aims to investigate the impact of public health campaigns through several indicators. For this, a tool is being developed to capture, store and analyze this data, in order to make this information available clearly and accurately to decision makers, facilitating the development of new education, communication and disease prevention strategies. A case study is being conducted. Data from the “Syphilis No!” campaign and disease notification data provided by the Ministry of Health in Brazil are being analyzed in conjunction with others indicators, such as the growth of Internet news, social networks messages and interest searches through Google Trends. The results show that the volume of news about the disease is increasing, having peaked during and shortly after the campaign period. In addition, the subject was widely researched on the Internet.

The Educational Data Mining allows to identify and cluster students by certain characteristics that are specified through the needs and problems raised by the teachers and course coordinators. In this context, this research aims to apply data mining techniques for the identification of profiles and participation patterns of students in a course of higher distance course resulting in the prediction of the chances of each student's approval. The result was the identification of 4 clusters that designate the profiles and types of participation of the students, namely: active, medium, inconstant and absent.

The great diversity in the architecture of biomedical devices, coupled with their different communication protocols, has hindered the implementation of systems that need access to these devices. Given these differences, arises the need to provide access to such devices in a transparent way. In this sense, this paper proposes an service-oriented architecture to access biomedical devices as a way to abstract the mechanism for writing and reading data on these devices, thus contributing to the increase in quality and productivity of biomedical systems in order to enable that the focus of the development team of biomedical software is almost exclusively intended for its functional requirements, i.e. business rules relevant to the problem domain. For the development of this work, technologies such as the XML language and the Java programming language were used and concepts of Software Engineering as Design Patterns. After the proposition of the architecture, tests in order to validate the proposed architecture were performed.

The popularization of the Web and the advent of new information and communication technologies of mobile devices make possible new aspects for management, interaction and information sharing. In petroliferous area, monitoring systems on mobile devices have been used for process optimization, data monitoring, reporting, alarm generation and identification of failures in real-time on oil wells platforms. However, there are few systems that identify efficiently problems due the fact they do not use techniques of real-time systems. This paper proposes the new system, SiMoS, a real-time system for remote monitoring oil wells platforms through mobile devices.

Information generated by sensors that collect a patient's vital signals are continuous and unlimited data sequences. Traditionally, this information requires special equipment and programs to monitor them. These programs process and react to the continuous entry of data from different origins. Thus, the purpose of this study is to analyze the data produced by these biomedical devices, in this case the electrocardiogram (ECG). Processing uses a neural classifier, Kohonen competitive neural networks, detecting if the ECG shows any cardiac arrhythmia. In fact, it is possible to classify an ECG signal and thereby detect if it is exhibiting or not any alteration, according to normality.

The development of middleware has emerged as an area of expanding research, focused on the integration of services available for distributed applications. In this context, many challenges have also arisen with the use of middleware, such as communication, flexibility, performance, as well as integration with the Web and the computer itself. The development of middleware for mobile computing poses new challenges to developers because of the limitations of mobile devices. Thus, these developers must understand the new mobile computing and middleware technologies in order to integrate them. The objective of this work is to develop a service-oriented context-aware middleware for real-time data management in real-time using mobile devices.

RFID (Radio Frequency Identification) is an emerging technology, for automatic identification and tracking, to provide increased efficiency and decrease operating costs in industry and supply chain. However, existing international standards not include security specifications, which resulted in appearance of security threats. Many efforts have been done in this area. However, the key management protocols proposed are unsafe or impractical for most RFID systems. This paper presents a novel approach of a key management protocol with mutual authentication for RFID systems. This protocol is an extension of RFID systems for the protocol proposed by Kinzel and Kanter [6], adding to the original protocol: a mutual authentication and the definition of frames. Through simulations it was possible to observe that the security level of the proposed protocol is a function only of the computational resources of the entities in the RFID system.

RFID is a technology being adopted in many business fields, especially in the medical field. This work has the objective to present a system for automation of a hospital clinical analysis laboratory. This system initially uses contactless smart cards to store patient's data and for authentication of hospital employees in the system. The proposed system also uses RFID tags stuck to containers containing patient's collected samples for the correct identification of the patient who gave away the samples. This work depicts a hospital laboratory workflow, presents the system modeling and deals with security matters related to information stored in the smart cards.

The Ethernet technology dominates the market of computer networks. However, it was not been established as technology for industrial automation, where the requirements demand determinism and real-time performance. Many solutions have been proposed to solve the problem of non-determinism, which are based on TDMA (Time Division Multiple Access), Token Passing and Master-Slave. This article realizes measurements performance comparing implementations in the data communication with UDP and RAW Ethernet protocols, identifying the most viable alternative to support the development of real-time application to industrial automation networks.

This paper realizes performance measurements comparing implementations of data communication with UDP and RAW protocols over Ethernet Technology, identifying the most viable alternative to support the development of distributes real-time application, searching a protocol solution to nondeterminism of bus arbitration scheme in industrial network based on Ethernet technology.