Um middleware reflexivo e orientado a aspectos: arquitetura e implementações

Conselho Nacional de Desenvolvimento Científico e Tecnológico

CALV3 - Uma linguagem específica de domínio para segurança em sistemas corporativos: um estudo de caso sistemático na indústria

The academic community and software industry have shown, in recent years, substantial interest in approaches and technologies related to the area of model-driven development (MDD). At the same time, continues the relentless pursuit of industry for technologies to raise productivity and quality in the development of software products. This work aims to explore those two statements, through an experiment carried by using MDD technology and evaluation of its use on solving an actual problem under the security context of enterprise systems. By building and using a tool, a visual DSL denominated CALV3, inspired by the software factory approach: a synergy between software product line, domainspecific languages and MDD, we evaluate the gains in abstraction and productivity through a systematic case study conducted in a development team. The results and lessons learned from the evaluation of this tool within industry are the main contributions of this work

LWiSSy: uma linguagem específica de domínio para modelagem de sistemas de redes de sensores e atuadores sem fio

The field of Wireless Sensor and Actuator Networks (WSAN) is fast increasing and has attracted the interest of both the research community and the industry because of several factors, such as the applicability of such networks in different application domains (aviation, civil engineering, medicine, and others). Moreover, advances in wireless communication and the reduction of hardware components size also contributed for a fast spread of these networks. However, there are still several challenges and open issues that need to be tackled in order to achieve the full potential of WSAN usage. The development of WSAN systems is one of the most relevant of these challenges considering the number of variables involved in this process. Currently, a broad range of WSAN platforms and low level programming languages are available to build WSAN systems. Thus, developers need to deal with details of different sensor platforms and low-level programming abstractions of sensor operational systems on one hand, and they also need to have specific (high level) knowledge about the distinct application domains, on the other hand. Therefore, in order to decouple the handling of these two different levels of knowledge, making easier the development process of WSAN systems, we propose LWiSSy (Domain Language for Wireless Sensor and Actuator Networks Systems), a domain specific language (DSL) for WSAN. The use of DSLs raises the abstraction level during the programming of systems and modularizes the system building in several steps. Thus, LWiSSy allows the domain experts to directly contribute in the development of WSANs without having knowledge on low level sensor platforms, and network experts to program sensor nodes to meet application requirements without having specific knowledge on the application domain. Additionally, LWiSSy enables the system decomposition in different levels of abstraction according to structural and behavioral features and granularities (network, node group and single node level programming)

Avaliação da informação de websites turísticos das cidades-sede da copa 2014

This study aims to analyze tourist information provided by the official websites of the 2014 FIFA World Cup host cities. The framework developed by Díaz (2005) was applied to analyze different aspects, such as: local tourist information, tourist services distribution, communication and interaction between website and users, and website foreign language versions. This dissertation describes how society and tourism are related by analyzing the consequences of technological evolution in the travel and tourism sector, showing the importance of the use of information and communication technology to provide accurate, upto- date and low-cost information to tourist destinations. Because of the nature of the study, the research subjects are the 12 Brazilian host cities represented by their respective official webpages (cities, states and convention bureaus), and also Brazil s official website, totalizing 36 elements to be analyzed. The methodology has been characterized as descriptive and exploratory with quantitative analysis, and also using desk research and survey literature review. In order to analyze the data collected, parametric and nonparametric statistics tests were used, such as: variance analysis (ANOVA and KRUSKAL-WALLIS) to measure means variance between groups combined with multiple comparison tests (Tukey and Games Howell); nonparametric correlations tests (Kendall s Tau b); and cluster analyses. Finally, Microsoft Excel was used to collect data and SPSS for managing data through quantitative analyses tests. Overall, the websites of the south region showed better results than the other Brazilian regions. Despite this result, the data analysis demonstrated that the available tourist information are incomplete as it was verified that tourist host cities websites are unable to provide all the information needed for the web visitors to organize and plan their journey. This means that visitors have to look for more information in other sources

Sustentabilidade ambiental do cultivo intensivo de Tilápias (Oreochromis niloticus) em tanques-rede e a capacidade de suporte de quatro reservatórios em uma região semi-árida tropical

Intensive production of tilápias, in cages or net tanks, has been proposed as an alternative to increase fish production, that would generate income and offer animal protein in different tropical and subtropical countries. However, this system of production enriches the aquatic environment with nutrients, principally nitrogen and phosphor derived from the dejections of the metabolism of food and eventual food surpluses consumed by the fishes; the alimentation of the fishes in this production modality is dependent on fish food. The emission of these nutritions in levels above the limit that the system is capable metabolize can provoke a phenomenon called eutrofization, putting in risk the quality of water for public and for fish production activities. In this context the work had as a goal to evaluate the trófico state of the four reservoirs for intensive production of tilapias in net-tanks, in other words, he maximum fish production that the reservoirs are able to hold, keeping the desired quantity of nutrient concentrations in water for public use. The results of the four ecosystems in the Boqueirão de Parelhas reservoir showed that it s possible to have an intensive production of tilapias in net tanks, in this environment the annual average concentration of phosphor, was below the considered critical limits to deflagrate the process of eutrofization in semi-arid regions. The carrying capacity of the Boqueirão de Parelhas reservoir depends on the conversion of the feeding facts and phosphor content in the food but it should vary between 100 and 300 tons per year over a variation in the conversion feeding factor of 1,7 to 2,0:1 and a variation in the P in the food of 0,7 to 0,9%

Investigando a combinação de técnicas de aprendizado semissupervisionado e classificação hierárquica multirrótulo

Data classification is a task with high applicability in a lot of areas. Most methods for treating classification problems found in the literature dealing with single-label or traditional problems. In recent years has been identified a series of classification tasks in which the samples can be labeled at more than one class simultaneously (multi-label classification). Additionally, these classes can be hierarchically organized (hierarchical classification and hierarchical multi-label classification). On the other hand, we have also studied a new category of learning, called semi-supervised learning, combining labeled data (supervised learning) and non-labeled data (unsupervised learning) during the training phase, thus reducing the need for a large amount of labeled data when only a small set of labeled samples is available. Thus, since both the techniques of multi-label and hierarchical multi-label classification as semi-supervised learning has shown favorable results with its use, this work is proposed and used to apply semi-supervised learning in hierarchical multi-label classication tasks, so eciently take advantage of the main advantages of the two areas. An experimental analysis of the proposed methods found that the use of semi-supervised learning in hierarchical multi-label methods presented satisfactory results, since the two approaches were statistically similar results