Otimização do sistema de supervisão e controle de uma planta de tratamento de resíduos utilizando plasma

A major and growing problems faced by modern society is the high production of waste and related effects they produce, such as environmental degradation and pollution of various ecosystems, with direct effects on quality of life. The thermal treatment technologies have been widely used in the treatment of these wastes and thermal plasma is gaining importance in processing blanketing. This work is focused on developing an optimized system of supervision and control applied to a processing plant and petrochemical waste effluents using thermal plasma. The system is basically composed of a inductive plasma torch reactors washing system / exhaust gases and RF power used to generate plasma. The process of supervision and control of the plant is of paramount importance in the development of the ultimate goal. For this reason, various subsidies were created in the search for greater efficiency in the process, generating events, graphics / distribution and storage of data for each subsystem of the plant, process execution, control and 3D visualization of each subsystem of the plant between others. A communication platform between the virtual 3D plant architecture and a real control structure (hardware) was created. The goal is to use the concepts of mixed reality and develop strategies for different types of controls that allow manipulating 3D plant without restrictions and schedules, optimize the actual process. Studies have shown that one of the best ways to implement the control of generation inductively coupled plasma techniques is to use intelligent control, both for their efficiency in the results is low for its implementation, without requiring a specific model. The control strategy using Fuzzy Logic (Fuzzy-PI) was developed and implemented, and the results showed satisfactory condition on response time and viability

Modelagem e simulação da solubilidade de sais em sistemas aquosos com Monoetilenoglicol

Primary processing of natural gas platforms as Mexilhão Field (PMXL-1 ) in the Santos Basin, where monoethylene glycol (MEG) has been used to inhibit the formation of hydrates, present operational problems caused by salt scale in the recovery unit of MEG. Bibliographic search and data analysis of salt solubility in mixed solvents, namely water and MEG, indicate that experimental reports are available to a relatively restricted number of ionic species present in the produced water, such as NaCl and KCl. The aim of this study was to develop a method for calculating of salt solubilities in mixed solvent mixtures, in explantion, NaCl or KCl in aqueous mixtures of MEG. The method of calculating extend the Pitzer model, with the approach Lorimer, for aqueous systems containing a salt and another solvent (MEG). Python language in the Integrated Development Environment (IDE) Eclipse was used in the creation of the computational applications. The results indicate the feasibility of the proposed calculation method for a systematic series of salt (NaCl or KCl) solubility data in aqueous mixtures of MEG at various temperatures. Moreover, the application of the developed tool in Python has proven to be suitable for parameter estimation and simulation purposes

ArchWiSeN: uma estratégia baseada em modelos para desenvolvimento de aplicações para redes de sensores e atuadores sem fio

Wireless Sensor and Actuator Networks (WSAN) are a key component in Ubiquitous Computing Systems and have many applications in different knowledge domains. Programming for such networks is very hard and requires developers to know the available sensor platforms specificities, increasing the learning curve for developing WSAN applications. In this work, an MDA (Model-Driven Architecture) approach for WSAN applications development called ArchWiSeN is proposed. The goal of such approach is to facilitate the development task by providing: (i) A WSAN domain-specific language, (ii) a methodology for WSAN application development; and (iii) an MDA infrastructure composed of several software artifacts (PIM, PSMs and transformations). ArchWiSeN allows the direct contribution of domain experts in the WSAN application development without the need of specialized knowledge on WSAN platforms and, at the same time, allows network experts to manage the application requirements without the need for specific knowledge of the application domain. Furthermore, this approach also aims to enable developers to express and validate functional and non-functional requirements of the application, incorporate services offered by WSAN middleware platforms and promote reuse of the developed software artifacts. In this sense, this Thesis proposes an approach that includes all WSAN development stages for current and emerging scenarios through the proposed MDA infrastructure. An evaluation of the proposal was performed by: (i) a proof of concept encompassing three different scenarios performed with the usage of the MDA infrastructure to describe the WSAN development process using the application engineering process, (ii) a controlled experiment to assess the use of the proposed approach compared to traditional method of WSAN application development, (iii) the analysis of ArchWiSeN support of middleware services to ensure that WSAN applications using such services can achieve their requirements ; and (iv) systematic analysis of ArchWiSeN in terms of desired characteristics for MDA tool when compared with other existing MDA tools for WSAN.

The Economic Case for Electric Mining Equipment and Technical Considerations Relating to their Implementation

Underground hardrock mining can be very energy intensive and in large part this can be attributed to the power consumption of underground ventilation systems. In general, the power consumed by a mine’s ventilation system and its overall scale are closely related to the amount of diesel power in operation. This is because diesel exhaust is a major source of underground air pollution, including diesel particulate matter (DPM), NO2 and heat, and because regulations tie air volumes to diesel engines. Furthermore, assuming the size of airways remains constant, the power consumption of the main system increases exponentially with the volume of air supplied to the mine. Therefore large diesel fleets lead to increased energy consumption and can also necessitate large capital expenditures on ventilation infrastructure in order to manage power requirements. Meeting ventilation requirements for equipment in a heading can result in a similar scenario with the biggest pieces leading to higher energy consumption and potentially necessitating larger ventilation tubing and taller drifts. Depending on the climate where the mine is located, large volumes of air can have a third impact on ventilation costs if heating or cooling the air is necessary. Annual heating and cooling costs, as well as the cost of the associated infrastructure, are directly related to the volume of air sent underground. This thesis considers electric mining equipment as a means for reducing the intensity and cost of energy consumption at underground, hardrock mines. Potentially, electric equipment could greatly reduce the volume of air needed to ventilate an entire mine as well as individual headings because they do not emit many of the contaminants found in diesel exhaust and because regulations do not connect air volumes to electric motors. Because of the exponential relationship between power consumption and air volumes, this could greatly reduce the amount of power required for mine ventilation as well as the capital cost of ventilation infrastructure. As heating and cooling costs are also directly linked to air volumes, the cost and energy intensity of heating and cooling the air would also be significantly reduced. A further incentive is that powering equipment from the grid is substantially cheaper than fuelling them with diesel and can also produce far fewer GHGs. Therefore, by eliminating diesel from the underground workers will enjoy safer working conditions and operators and society at large will gain from a smaller impact on the environment. Despite their significant potential, in order to produce a credible economic assessment of electric mining equipment their impact on underground systems must be understood and considered in their evaluation. Accordingly, a good deal of this thesis reviews technical considerations related to the use of electric mining equipment, especially ones that impact the economics of their implementation. The goal of this thesis will then be to present the economic potential of implementing the equipment, as well as to outline the key inputs which are necessary to support an evaluation and to provide a model and an approach which can be used by others if the relevant information is available and acceptable assumptions can be made.

Intern kontroll: En fallstudie på Trafikverket

Internal control is something that’s grown more important for enterprises to keep in mind. The community is increasingly affected by the IT-development which demands a bigger degree of security. Enterprises needs to make sure that their systems are up to date and secure enough to keep it safe from unauthorized to take part of sensitive information. Internal control can exist in a major part of the work. If an enterprise have a goal for no harm or serious injury at work, internal control is necessary to reach that goal. The purpose for this essay is to examine how five different departments of Trafikverket practices internal control. How internal control is described. How the guidance from the managements is described and how it reaches the rest of the enterprise. This will lead to a proposal of improvement of the internal control at Trafikverket. We focus our frame of reference on the COSO-model and its five components. The components included in the COSO-model are control environment, risk valuation, control activities, information and communication and monitoring. The essay is a case-study of Trafikverket. We have chosen a qualitative method and interviewed five respondents from the different departments on Trafikverket. The respondents we interviewed works with internal control in their everyday work or have a god insight in the subject. We used a semi structured interview guide with questions based on the COSO framework. The results from our study shows that it exist big variations between how the departments work with internal control. It emerged that there are new guidelines for how the work should be done. This makes it necessary with education to implement the new ways to work. How the departments use the COSO-model varies. Some of them have incorporated the model in their new ways to work others have never heard of it. The conclusion of our study shows that the COSO-model and it´s components contribute to a functioning internal control. Implementing the components is important and the most important feature to good internal control is the corporate management. Education within the enterprise is the most effective way to inform the staff about the model and to implement it.

Stigmatisering - Personers upplevelser av att leva med HIV/AIDS

Bakgrund: HIV är en infektionssjukdom som kan överföras vid bland annat oskyddade samlag, via blod och transplanterad vävnad. Då det idag finns antivirala läkemedel ses HIV inte längre som en dödlig utan en kronisk sjukdom. Personer med HIV/AIDS upplever att sjukdomen påverkar den fysiska och psykiska hälsan negativt. Sjuksköterskor har bristande kunskaper om sjukdomen samt är ovilliga att ge omvårdnad till dessa personer. Syfte: Syftet med litteraturöversikten var att beskriva personers upplevelser av att leva med HIV/AIDS. Metod: Litteraturöversikten baserades på 13 artiklar med kvalitativ design som analyserades enligt Fribergs femstegsmodell. En induktiv ansats användes. Resultat: Huvudtemat stigmatisering identifierades tillsammans med temat transition med tillhörande fem underteman samt temat rädsla med tillhörande tre underteman. Slutsats: Personerna med HIV/AIDS upplevde sig stigmatiserade av närstående, i samhället och i kontakt med hälso- och sjukvården. För att stigmatiseringen ska upphöra behöver sjuksköterskor mer kunskap om HIV/AIDS. För att nå ett personcentrerat förhållningssätt behöver sjuksköterskor se personerna bakom sjukdomen samt medvetandegöra sina attityder och förutfattade meningar mot personerna som lever med HIV/AIDS.

Saúde mental: o modelo clínico-comunitário numa unidade socio-ocupacional

Trabalho de projeto apresentado à Escola Superior de Educação de Paula Frassinetti, para obtenção do grau de mestre em Intervenção Comunitária

Projeto, implementação e análise de um conversor CC-CC de alto ganho e alto rendimento para aplicações fotovoltaicas

In recent years the photovoltaic generation has had greater insertion in the energy mix of the most developed countries, growing at annual rates of over 30%. The pressure for the reduction of pollutant emissions, diversification of the energy mix and the drop in prices are the main factors driving this growth. Grid tied systems plays an important role in alleviating the energy crisis and diversification of energy sources. Among the grid tied systems, building integrated photovoltaic systems suffers from partial shading of the photovoltaic modules and consequently the energy yield is reduced. In such cases, classical forms of modules connection do not produce good results and new techniques have been developed to increase the amount of energy produced by a set of modules. In the parallel connection technique of photovoltaic modules, a high voltage gain DC-DC converter is required, which is relatively complex to build with high efficiency. The current-fed isolated converters explored in this work have some desirable characteristics for this type of application, such as: low input current ripple and input voltage ripple, high voltage gain, galvanic isolation, feature high power capacity and it achieve soft switching in a wide operating range. This study presents contributions to the study of a high gain and high efficiency DC-DC converter for use in a parallel system of photovoltaic generation, being possible the use in a microinverter or with central inverter. The main contributions of this work are: analysis of the active clamping circuit operation proposing that the clamp capacitor connection must be done on the negative node of the power supply to reduce the input current ripple and thus reduce the filter requirements; use of a voltage doubler in the output rectifier to reduce the number of components and to extend the gain of the converter; detailed study of the converter components in order to raise the efficiency; obtaining the AC equivalent model and control system design. As a result, a DC-DC converter with high gain, high efficiency and without electrolytic capacitors in the power stage was developed. In the final part of this work the DC-DC converter operation connected to an inverter is presented. Besides, the DC bus controller is designed and are implemented two maximum power point tracking algorithms. Experimental results of full system operation connected to an emulator and subsequently to a real photovoltaic module are also given.

Sobre a possibilidade da explicação pessoal diante de explicações científicas e intencionais

Dissertação (mestrado)—Universidade de Brasília,Instituto de Ciências Humanas, Departamento de Filosofia, Programa de Pós-Graduação em Filosofia, 2015.

Genes candidatos de suscetibilidade a pré-eclampsia: estudo de associação

Preeclampsia is a multifactorial disease of unknown etiology that features with wide clinical symptoms, ranging from mild preeclampsia to severe forms, as eclampsia and HELLP syndrome. As a complex disease, preeclampsia is also influenced by genetic and environmental factors. Aiming to identify preeclampsia susceptibility genes, we genotyped a total of 22 genetic markers (single nucleotides polymorphisms SNPs) distributed in six candidates genes (ACVR2A, FLT1, ERAP1, ERAP2, LNPEP e CRHBP). By a case-control approach, the genotypic frequencies were compared between normotensive (control group) and preeclamptic women. The case s group was classified according to the disease clinical form in: preeclampsia, eclampsia and HELLP syndrome. As results we found the following genetic association: 1) ACVR2A and preeclampsia; 2) FLT1 and severe preeclampsia; 3) ERAP1 and eclampsia; 4) FLT1 and HELLP syndrome. When stratifying preeclampsia group according to symptoms severity (mild and severe preeclampsia) or according to the time of onset (early and late preeclampsia), it was detected that early preeclampsia is strongly associated to risk preeclampsia, eclampsia and HELLP syndrome have different genetic bases, although FLT1 gene seems to be involved in preeclampsia and HELLP syndrome pathophisiology

Student, school, and country differences in sustained test-taking effort in the 2009 PISA reading assessment

In this article, the change in examinee effort during an assessment, which we will refer to as persistence, is modeled as an effect of item position. A multilevel extension is proposed to analyze hierarchically structured data and decompose the individual differences in persistence. Data from the 2009 Program of International Student Achievement (PISA) reading assessment from N = 467,819 students from 65 countries are analyzed with the proposed model, and the results are compared across countries. A decrease in examinee effort during the PISA reading assessment was found consistently across countries, with individual differences within and between schools. Both the decrease and the individual differences are more pronounced in lower performing countries. Within schools, persistence is slightly negatively correlated with reading ability; but at the school level, this correlation is positive in most countries. The results of our analyses indicate that it is important to model and control examinee effort in low-stakes assessments. (DIPF/Orig.)

Plataforma interactiva para edifícios inteligentes com controlo preditivo

Esta dissertação desenvolve uma plataforma de controlo interactiva para edifícios inteligentes através de um sistema SCADA (Supervisory Control And Data Acquisition). Este sistema SCADA integra diferentes tipos de informações provenientes das várias tecnologias presentes em edifícios modernos (controlo da ventilação, temperatura, iluminação, etc.). A estratégia de controlo desenvolvida implementa um controlador em cascada hierárquica onde os "loops" interiores são executados pelos PLC's locais (Programmable Logic Controller), e o "loop" exterior é gerido pelo sistema SCADA centralizado, que interage com a rede local de PLC's. Nesta dissertação é implementado um controlador preditivo na plataforma SCADA centralizada. São apresentados testes efectuados para o controlo da temperatura e luminosidade de salas com uma grande área. O controlador preditivo desenvolvido tenta optimizar a satisfação dos utilizadores, com base nas preferências introduzidas em várias interfaces distribuídas, sujeito às restrições de minimização do desperdício de energia. De forma a executar o controlador preditivo na plataforma SCADA foi desenvolvido um canal de comunicação para permitir a comunicação entre a aplicação SCADA e a aplicação MATLAB, onde o controlador preditivo é executado. ABSTRACT: This dissertation develops an operational control platform for intelligent buildings using a SCADA system (Supervisory Control And Data Acquisition). This SCADA system integrates different types of information coming from the several technologies present in modem buildings (control of ventilation, temperature, illumination, etc.). The developed control strategy implements a hierarchical cascade controller where inner loops are performed by local PLCs (Programmable Logic Controller), and the outer loop is managed by the centralized SCADA system, which interacts with the entire local PLC network. ln this dissertation a Predictive Controller is implemented at the centralized SCADA platform. Tests applied to the control of temperature and luminosity in huge­area rooms are presented. The developed Predictive Controller tries to optimize the satisfaction of user explicit preferences coming from several distributed user-interfaces, subjected to the constraints of energy waste minimization. ln order to run the Predictive Controller at the SCADA platform a communication channel was developed to allow communication between the SCADA application and the MATLAB application where the Predictive Controller runs.

Location analysis of city sections: socio-demographic segmentation and restaurant potentiality estimation : a case study of Lisbon

One of the objectives of this study is to perform classification of socio-demographic components for the level of city section in City of Lisbon. In order to accomplish suitable platform for the restaurant potentiality map, the socio-demographic components were selected to produce a map of spatial clusters in accordance to restaurant suitability. Consequently, the second objective is to obtain potentiality map in terms of underestimation and overestimation in number of restaurants. To the best of our knowledge there has not been found identical methodology for the estimation of restaurant potentiality. The results were achieved with combination of SOM (Self-Organized Map) which provides a segmentation map and GAM (Generalized Additive Model) with spatial component for restaurant potentiality. Final results indicate that the highest influence in restaurant potentiality is given to tourist sites, spatial autocorrelation in terms of neighboring restaurants (spatial component), and tax value, where lower importance is given to household with 1 or 2 members and employed population, respectively. In addition, an important conclusion is that the most attractive market sites have shown no change or moderate underestimation in terms of restaurants potentiality.

Comparison of multiple intelligences in children from schools with different pedagogical models

The purpose of this research was to apply a test that measures different multiple intelligences in children from two different elementary schools to determine whether there are differences between the Academicist Pedagogical Model (traditional approach) established by the Costa Rican Ministry of Public Education and the Cognitive Pedagogical Model (MPC) (constructivist approach). A total of 29 boys and 20 girls with ages 8 to 12 from two different public schools in Heredia (Laboratorio School and San Isidro School) participated in this study. The instrument used was a Multiple Intelligences Test for school age children (Vega, 2006), which consists of 15 items subdivided in seven categories: linguistic, logical-mathematical, visual, kinaesthetic, musical, interpersonal, and intrapersonal. Descriptive and inferential statistics (Two-Way ANOVA) were used for the analysis of data.  Significant differences were found in linguistic intelligence (F:9.47; p < 0.01) between the MPC school (3.24±1.24 points) and the academicist school (2.31±1.10 points).  Differences were also found between sex (F:5.26; p< 0.05), for girls (3.25±1.02 points) and boys (2.52±1.30 points). In addition, the musical intelligence showed significant statistical differences between sexes (F: 7.97; p < 0.05).  In conclusion, the learning pedagogical models in Costa Rican public schools must be updated based on the new learning trends.

Controle preditivo neural aplicado à processos petroquímicos

A pesquisa tem como objetivo desenvolver uma estrutura de controle preditivo neural, com o intuito de controlar um processo de pH, caracterizado por ser um sistema SISO (Single Input - Single Output). O controle de pH é um processo de grande importância na indústria petroquímica, onde se deseja manter constante o nível de acidez de um produto ou neutralizar o afluente de uma planta de tratamento de fluidos. O processo de controle de pH exige robustez do sistema de controle, pois este processo pode ter ganho estático e dinâmica nãolineares. O controlador preditivo neural envolve duas outras teorias para o seu desenvolvimento, a primeira referente ao controle preditivo e a outra a redes neurais artificiais (RNA s). Este controlador pode ser dividido em dois blocos, um responsável pela identificação e outro pelo o cálculo do sinal de controle. Para realizar a identificação neural é utilizada uma RNA com arquitetura feedforward multicamadas com aprendizagem baseada na metodologia da Propagação Retroativa do Erro (Error Back Propagation). A partir de dados de entrada e saída da planta é iniciado o treinamento offline da rede. Dessa forma, os pesos sinápticos são ajustados e a rede está apta para representar o sistema com a máxima precisão possível. O modelo neural gerado é usado para predizer as saídas futuras do sistema, com isso o otimizador calcula uma série de ações de controle, através da minimização de uma função objetivo quadrática, fazendo com que a saída do processo siga um sinal de referência desejado. Foram desenvolvidos dois aplicativos, ambos na plataforma Builder C++, o primeiro realiza a identificação, via redes neurais e o segundo é responsável pelo controle do processo. As ferramentas aqui implementadas e aplicadas são genéricas, ambas permitem a aplicação da estrutura de controle a qualquer novo processo