Tecendo algumas reflexões sobre: o serviço social no contexto da saúde - como foco principal, a questão da saúde mental

TCC (graduação) - Universidade Federal de Santa Catarina, Centro Sócio Econômico, Curso de Serviço Social

Decision support IoT framework : device discovery and stream analytics

Submitted by Setor de Tratamento da Informa??o - BC/PUCRS ([email protected]) on 2016-08-29T13:47:15Z No. of bitstreams: 1 DIS_WILLIAN_TESSARO_LUNARDI_COMPLETO.pdf: 1857452 bytes, checksum: 335f6fe3c020d0f7f19050cdd006cca5 (MD5)Made available in DSpace on 2016-08-29T13:47:15Z (GMT). No. of bitstreams: 1 DIS_WILLIAN_TESSARO_LUNARDI_COMPLETO.pdf: 1857452 bytes, checksum: 335f6fe3c020d0f7f19050cdd006cca5 (MD5) Previous issue date: 2016-03-23Durante os ?ltimos anos, como r?pido desenvolvimento e prolifera??o da Internet das Coisas (IoT), muitas ?reas de aplica??o come?aram a explorar este novo paradigma de computa??o. O n?mero de dispositivos computacionais ativos tem crescido em um ritmo acelerado ao redor do mundo. Consequentemente, um mecanismo para lidar com estes diferentes dispositivos tornou-se necess?rio. Middlewares para a IoT t?m sido desenvolvidos tanto em ambientes industriais como de pesquisa para suprir esta necessidade, no entanto, a descoberta e a sele??o de dispositivos, bem como o suporte a tomada de decis?o baseada no fluxo de dados destes dispositivos continuam sendo um desafio cr?tico. Neste trabalho apresentamos o Decision Support IoT Framework, composto pelo sistema COBASEN, um motor de busca de dispositivos da IoT, e o sistema DMS, o qual atua sobre dados de dispositivo em movimento, extra indo informa??es valiosas para dar suporte a tomada de decis?es. O sistema COBASEN opera com base nas caracter?sticas textuais dos perfis dos dispositivos. O sistema DMS utiliza processamento de eventos complexos para analisar e reagir sobre os dados de fluxo cont?nuo, permitindo, por exemplo, disparar um alerta quando um erro ou condi??o espec?fica aparece no fluxo de dados do dispositivo. O objetivo principal deste trabalho ? destacar a import?ncia de um motor de busca de dispositivos para a Internet das Coisas e um sistema de apoio ? tomada de decis?o baseado na an?lise de fluxo cont?nuo dos dispositivos IoT. Foi desenvolvido dois sistemas que implementam conceitos COBASEN e DMS. No entanto, em testes preliminares, realizado uma avalia??o funcional de ambos os sistemas em termos de desempenho. Resultados iniciais sugerem que o Decision Support IoT Framework fornece abordagens importantes que facilitam o desenvolvimento de aplica??es da Internet das Coisas, podendo executar fun??es essenciais para melhorar os processos de ambientes que fazem uso deste paradigma.During the past few years, with the fast development and proliferation of the Internet of Things (IoT), many application areas have started to exploit this new computing paradigm. The number of active computing devices has been growing at a rapid pace in IoT environments around the world. Consequently, a mechanism to deal with this different devices has become necessary. Middleware systems solutions for IoT have been developed in both research and industrial environments to supply this need. However, device discovery and selection, as well decision analytics remain a critical challenge. In this work we present the Decision Support IoT Framework composed of COBASEN, an IoT search engine to address the research challenge regarding the discovery and selection of IoT devices when large number of devices with over lapping and sometimes redundant functionality are available in IoT middleware systems, and DMS, which allows to setup analytic computations on device data when it is still in motion, extracting valuable information from it for decision management. COBASEN operates based on textual characteristics of devices. The DMS uses Complex Event Processing to analyze and react over streaming data, allowing for example, to triggers an alert when a specific error or condition appears in the stream. The main goal of this work is to high light the importance of an IoT search engine for devices and a decision support system for stream analytics in the IoT paradigm. We developed two systems that implements COBASEN and DMS concepts. However, for preliminarily tests, we made a functional evaluation of both systems in terms of performance. Our initial findings suggest that the Decision Support IoT Framework provides important approaches that facilitate the development of IoT applications, which may perform essential roles to improve IoT processes

Nivel de conocimiento sobre morfología vegetal de los alumnos ingreso 2015 de Agronomía de la Universidad Católica del Maule

Tesis para optar al Título de Profesor en Ciencias con mención en BiologíaEn el siguiente estudio,se busca indagar respecto de los conocimientos básicos sobre morfología vegetal, que poseen los estudiantes ingreso 2015 de la carrera de Agronomía de la Universidad Católica del Maule. La morfología vegetal, fue tratada hasta el año 2016 en los establecimientos educacionales, a nivel de primero medio dentro de la primera unidad, correspondiente a célula. Hoy en día, con los cambios curriculares (2017), son los alumnos de octavo básico quienes deben manejar dichos conocimientos. Es por esta razón, que se busca conocer cuál es el nivel de conocimiento, con el que llegan los alumnos de Agronomía al ingresar a la carrera y cursar la asignatura “Bases Biológicas II para la Producción Agropecuaria” y si dicho nivel de conocimiento, va directamente relacionado con el tipo de establecimiento educacional del cual provienen, o con la especialidad en el caso de los estudiantes de colegios técnico profesional con formación Agropecuaria. Para el presente seminario de investigación, los estudiantes fueron evaluados a partir de la aplicación de un pre-test y un post-test, con la finalidad de conocer cuál era el nivel de conocimientos previos y si dicho nivel se acrecienta al aplicar una estrategia didáctica teórico-práctica, durante el transcurso del semestre. Se interpretan los resultados obtenidos a partir de un análisis estadístico en IMB SPSS Statistics 22, concluyendo que los estudiantes llegan al curso con un nivel deficiente de conocimiento, respecto de la morfología vegetal básica y al finalizar el curso este aumenta en un 55%

Estudo da cinética de degradação de antocianina em suco de mirtilo durante o tratamento térmico

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The function of ß-Cyclodextrin (CDs) in the textile industry: a detailed review

Since the first publication of cyclodextrins (CDs) in 1891 and the first patent in 1953, many technological advances have occurred, and the application of CDs has expanded. ß-Cyclodextrin (ß-CD) is an oligosaccharide composed of seven units of D-(+)-glucopyranose joined by a-1,4 bonds, which is obtained from starch. Its singular trunk conical shape organization, with a well-defined cavity, provides an adequate environment for several types of molecules to be included. Complexation changes the properties of the guest molecules and can increase their stability and bioavailability, protecting against degradation, and reducing their volatility. Thanks to its versatility, biocompatibility, and biodegradability, ß-CD is widespread in many research and industrial applications. In this review, the role of ß-CD and its derivatives in the textile industry was summarized. First, some general physicochemical characteristics were presented, followed by their application in the areas of dyeing, finishing, and wastewater treatment. The review covers the role of ß-CD as an auxiliary agent in dyeing, and as a matrix for dye adsorption until chemical modifications are applied as a finishing agent. The study concluded that the increasing use of CDs in the textile industry is the result, among other factors, of the versatility of these cyclic molecules and the benefits of their use across the productive chain of this sector. Their unique ability to form an inclusion complex with a wide variety of molecules allows their use in several sectors. Finally, new perspectives about its use in textiles, such as in smart materials for microbial control, are presentedINTEXTER-UPC, UTFPR-AP and National Council for Scientific and Technological Development (CNPq). The author José Alexandre Borges Valle are grateful to CAPES-PRINT, project number 88887.310560/2018-00Postprint (published version