1000 resultados para Sistemas de detecção de intrusão (Medidas de segurança)
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In a real process, all used resources, whether physical or developed in software, are subject to interruptions or operational commitments. However, in situations in which operate critical systems, any kind of problem may bring big consequences. Knowing this, this paper aims to develop a system capable to detect the presence and indicate the types of failures that may occur in a process. For implementing and testing the proposed methodology, a coupled tank system was used as a study model case. The system should be developed to generate a set of signals that notify the process operator and that may be post-processed, enabling changes in control strategy or control parameters. Due to the damage risks involved with sensors, actuators and amplifiers of the real plant, the data set of the faults will be computationally generated and the results collected from numerical simulations of the process model. The system will be composed by structures with Artificial Neural Networks, trained in offline mode using Matlab®
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Committees of classifiers may be used to improve the accuracy of classification systems, in other words, different classifiers used to solve the same problem can be combined for creating a system of greater accuracy, called committees of classifiers. To that this to succeed is necessary that the classifiers make mistakes on different objects of the problem so that the errors of a classifier are ignored by the others correct classifiers when applying the method of combination of the committee. The characteristic of classifiers of err on different objects is called diversity. However, most measures of diversity could not describe this importance. Recently, were proposed two measures of the diversity (good and bad diversity) with the aim of helping to generate more accurate committees. This paper performs an experimental analysis of these measures applied directly on the building of the committees of classifiers. The method of construction adopted is modeled as a search problem by the set of characteristics of the databases of the problem and the best set of committee members in order to find the committee of classifiers to produce the most accurate classification. This problem is solved by metaheuristic optimization techniques, in their mono and multi-objective versions. Analyzes are performed to verify if use or add the measures of good diversity and bad diversity in the optimization objectives creates more accurate committees. Thus, the contribution of this study is to determine whether the measures of good diversity and bad diversity can be used in mono-objective and multi-objective optimization techniques as optimization objectives for building committees of classifiers more accurate than those built by the same process, but using only the accuracy classification as objective of optimization
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Pós-graduação em Pesquisa e Desenvolvimento (Biotecnologia Médica) - FMB
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Educação - FFC
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Pós-graduação em Engenharia Elétrica - FEIS
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WHO has launched the “Safe Surgery Saves Lives” program with the purpose to reduce damage to surgical patients and define safety standards specifically in order to reduce such patients’ morbi-mortality by providing surgery teams and hospital managers with orientation about the standards of safe surgery and a uniform service evaluation instrument for national and international surveillance. Hence, this study aimed at applying the WHO safe-surgery checklist to the surgical specialties of a university hospital and evaluating the team’s opinion about the influence of its application on the safety of surgical process and on the team’s interpersonal communication. It was a descriptive, analytical, qualitative field study conducted in the surgery facilities of a university hospital in a public establishment in São Paulo state. The checklist was applied to eight surgical specialties, resulting in a total number of 30 surgeries. Its application was conducted by the researcher in three phases: Sign in, Time out, Sign Out. Next, one member of the surgery team was invited to voluntarily participate in the study by signing an informed consent form and answering guiding questions. Thirty members of the surgery team participated in the study. Bardin’s Content Analysis Method was used to organize and analyze the data. As regards the safety provided by the checklist, the following thematic categories emerged: “It reduces risk and possible complications”; “It standardizes conducts and reviews safety steps”; “It allows for better understanding of the process”; and “It provides safety to the team as a whole”. The category “It is not included in the institution’s routine” emerged from the subjects’ statements when they understood that, in this form, the checklist does not provide safety to surgical procedures. As regards communication, two thematic categories emerged: ...(Complete abstract click electronic access below)
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Pós-graduação em Engenharia Elétrica - FEIS
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Esta dissertação teve como finalidade estudar as possibilidades de implementar um Sistema Integrado de Gestão - Qualidade, Ambiente e Segurança na Guiné Equatorial. Este estudo seguiu os requisitos das normas ISO 9001, ISO 14001 e OHSAS 18001. Foi efetuado um levantamento de problemas e a sua respetiva investigação no projeto “ Construcción de la autovia de la Nacional Malabo-Luba “, mais concretamente na área industrial. Nesta área, desenvolve-se todo o processo de produção de peças pré-fabricadas de betão para órgãos de drenagem e funcionamento da central de betão. Pretendeu-se analisar os requisitos para assegurar a qualidade do produto, salvaguardando o meio ambiente, a segurança e a saúde de todos os intervenientes. Foram então estudadas as ações mais adequadas à empresa e ao seu processo de produção, para a implementação do sistema integrado de gestão, tendo em consideração as limitações existentes em África.
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The expansion of cultivated areas with genetically modified crops (GM) is a worldwide phenomenon, stimulating regulatory authorities to implement strict procedures to monitor and verify the presence of GM varieties in agricultural crops. With the constant growing of plant cultivating areas all over the world, consumption of aflatoxin-contaminated food also increased. Aflatoxins correspond to a class of highly toxic contaminants found in agricultural products that can have harmful effects on human and animal health. Therefore, the safety and quality evaluation of agricultural products are important issues for consumers. Lateral flow tests (strip tests) is a promising method for the detection both proteins expressed in GM crops and aflatoxins-contaminated food samples. The advantages of this technique include its simplicity, rapidity and cost-effective when compared to the conventional methods. In this study, two novel and sensitive strip tests assay were developed for the identification of: (i) Cry1Ac and Cry8Ka5 proteins expressed in GM cotton crops and; (ii) aflatoxins from agricultural products. The first strip test was developed using a sandwhich format, while the second one was developed using a competitive format. Gold colloidal nanoparticles were used as detector reagent when coated with monoclonal antibodies. An anti-species specific antibody was sprayed at the nitrocellulose membrane to be used as a control line. To validate the first strip test, GM (Bollgard I® e Planta 50- EMBRAPA) and non-GM cotton leaf (Cooker 312) were used. The results showed that the strip containing antibodies for the identification of Cry1Ac and Cry8Ka5 proteins was capable of correctly distinguishing between GM samples (positive result) and non-GM samples (negative result), in a high sensitivity manner. To validate the second strip test, artificially contaminated soybean with Aspergillus flavus (aflatoxin-producing fungus) was employed. Food samples, such as milk and soybean, were also evaluated for the presence of aflatoxins. The strip test was capable to distinguish between samples with and without aflatoxins samples, at a sensitivity concentration of 0,5 μg/Kg. Therefore, these results suggest that the strip tests developed in this study can be a potential tool as a rapid and cost-effective method for detection of insect resistant GM crops expressing Cry1Ac and Cry8Ka5 and aflatoxins from food samples.
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The expansion of cultivated areas with genetically modified crops (GM) is a worldwide phenomenon, stimulating regulatory authorities to implement strict procedures to monitor and verify the presence of GM varieties in agricultural crops. With the constant growing of plant cultivating areas all over the world, consumption of aflatoxin-contaminated food also increased. Aflatoxins correspond to a class of highly toxic contaminants found in agricultural products that can have harmful effects on human and animal health. Therefore, the safety and quality evaluation of agricultural products are important issues for consumers. Lateral flow tests (strip tests) is a promising method for the detection both proteins expressed in GM crops and aflatoxins-contaminated food samples. The advantages of this technique include its simplicity, rapidity and cost-effective when compared to the conventional methods. In this study, two novel and sensitive strip tests assay were developed for the identification of: (i) Cry1Ac and Cry8Ka5 proteins expressed in GM cotton crops and; (ii) aflatoxins from agricultural products. The first strip test was developed using a sandwhich format, while the second one was developed using a competitive format. Gold colloidal nanoparticles were used as detector reagent when coated with monoclonal antibodies. An anti-species specific antibody was sprayed at the nitrocellulose membrane to be used as a control line. To validate the first strip test, GM (Bollgard I® e Planta 50- EMBRAPA) and non-GM cotton leaf (Cooker 312) were used. The results showed that the strip containing antibodies for the identification of Cry1Ac and Cry8Ka5 proteins was capable of correctly distinguishing between GM samples (positive result) and non-GM samples (negative result), in a high sensitivity manner. To validate the second strip test, artificially contaminated soybean with Aspergillus flavus (aflatoxin-producing fungus) was employed. Food samples, such as milk and soybean, were also evaluated for the presence of aflatoxins. The strip test was capable to distinguish between samples with and without aflatoxins samples, at a sensitivity concentration of 0,5 μg/Kg. Therefore, these results suggest that the strip tests developed in this study can be a potential tool as a rapid and cost-effective method for detection of insect resistant GM crops expressing Cry1Ac and Cry8Ka5 and aflatoxins from food samples.
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A percentagem de utilização de motociclos tem vindo a crescer relativamente à utilização de veículos automóveis. Provavelmente, este número continuará a aumentar anualmente devido a diversos fatores: a mobilidade, a flexibilidade de circulação e o menor gasto de combustível. No entanto, um dos principais problemas da condução de motociclos é o elevado risco de acidente, comparativamente com os veículos automóveis. A segurança do condutor e passageiros, quando sujeitos a um acidente, merece total atenção. Convém, pois, encontrar soluções com capacidade de prevenir ou ajudar a minimizar o número de mortalidade que possam ocorrer diariamente. Uma maior atenção às medidas de segurança rodoviária veio diminuir o número de acidentes, no entanto, quando estes acontecem, a ajuda das unidades médicas demora algum tempo a chegar. Sabe-se que nestas situações, qualquer segundo pode fazer a diferença. Este é o problema que o autor deseja resolver. Na presente dissertação, o autor pretende demonstrar como desenvolveu um sistema para motociclos com a capacidade de reconhecer um acidente, enviando um alerta (SMS) com a informação do local da ocorrência (GPS). Este sistema foi preparado para operar em locais isolados com pouco ou nenhum tráfego rodoviário. Implementou-se no referido sistema uma tecnologia sem fios e fiabilizou-se um método capaz de ser utilizado em diversos modelos de motociclos. Procedeu-se à realização de interfaces que permitem monitorizar e possibilitar o reconhecimento da informação sobre o condutor e sobre o acidente, em tempo real.
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Objetivo: Investigar o conhecimento e as práticas de biossegurança para hepatites virais de manicures/pedicures. Métodos: Estudo descritivo, transversal, quantitativo, através de questionário, utilizando instrumento de coleta de dados autoaplicado elaborado pelos pesquisadores, contendo dados da população (sexo, idade, tempo de atuação profissional) e conhecimentos básicos sobre transmissão de hepatite e práticas de biossegurança e higiene. Resultados: Entrevistaram-se 96 manicures/pedicures que atuam no Noroeste do Paraná. A maioria das profissionais já ouviu falar da patologia, mas somente 41,7% (n=40) fizeram o exame para detecção do vírus da hepatite; 38,39% (n=77) relataram como via de transmissão o sangue e 31,8% (n=63), a relação sexual. A reutilização de materiais descartáveis foi relatada por 60,4% (n=58); 55,2% (n=53) realizam esterilização de materiais e 27,1% (n=26) não a realizam. Não ficou evidenciada associação significativa entre tempo de profissão e as variáveis utilizadas: ouviu sobre hepatite (p=0,77025), realização de exames (p=0,035476), reutilização de materiais descartáveis (p=0,42691), lavagem de mãos (p=0,32876), uso de luvas descartáveis (p=0,33752) e esterilização de materiais (p=0,84443). Conclusão: As manicures entrevistadas não conhecem as exigências da Vigilância Sanitária no que concerne à prevenção da transmissão de hepatites.
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The transport of fluids through pipes is used in the oil industry, being the pipelines an important link in the logistics flow of fluids. However, the pipelines suffer deterioration in their walls caused by several factors which may cause loss of fluids to the environment, justifying the investment in techniques and methods of leak detection to minimize fluid loss and environmental damage. This work presents the development of a supervisory module in order to inform to the operator the leakage in the pipeline monitored in the shortest time possible, in order that the operator log procedure that entails the end of the leak. This module is a component of a system designed to detect leaks in oil pipelines using sonic technology, wavelets and neural networks. The plant used in the development and testing of the module presented here was the system of tanks of LAMP, and its LAN, as monitoring network. The proposal consists of, basically, two stages. Initially, assess the performance of the communication infrastructure of the supervisory module. Later, simulate leaks so that the DSP sends information to the supervisory performs the calculation of the location of leaks and indicate to which sensor the leak is closer, and using the system of tanks of LAMP, capture the pressure in the pipeline monitored by piezoresistive sensors, this information being processed by the DSP and sent to the supervisory to be presented to the user in real time