Libro electrónico de superficies y volúmenes para décimo año

En los últimos años ha aumentado el deterioro del medio ambiente causado por la contaminación doméstica e industrial, dañando el aire, el agua y el suelo; afectando la vida de los seres vivos y causando enfermedades. Queremos llegar a los educandos ha que tomen conciencia, se sensibilicen, apliquen alternativas de control de la contaminación y sean multiplicadores de la información, para ello se ha elaborado un material audiovisual, en Power Point con información sencilla, actual, de fácil comprensión sobre los causas y efectos que produce la contaminación producida por el Parque Industrial de Cuenca

Implementación de estrategias innovadoras apoyadas en las TIC´S para el aprendizaje de las matemáticas del bloque número uno del segundo año de bachillerato general unificado en la Unidad Educativa Zoila Esperanza Palacios

Este trabajo consistió en el diseño, la implementación, validación y verificación de estrategias innovadoras para el proceso enseñanza-aprendizaje de los contenidos matemáticos del bloque número 1 del 2do año de bachillerato de la U. E. Zoila Esperanza Palacios, mediante el uso de las TIC´s. Se trabajó con dos paralelos para posteriormente poder hacer la comparación respectiva de los logros alcanzados, en las clases se implementaron estrategias previamente diseñadas, utilizando recursos informáticos como: Sitios web con animaciones de formato ¨swf¨, plataforma online THATQUIZ, Algebrator, GeoGebra, videos y Microsoft: Power Point. Lo anterior se logró mediante la propuesta de una ¨Guía Didáctica Para el Docente¨, que incluye las estrategias diseñadas, además a esto se elaboró la planificación micro curricular del bloque número 1. También se elaboraron y aplicaron encuestas para realizar una contextualización del grupo con el que se trabajó, y una segunda encuesta para determinar el nivel de satisfacción de software utilizado. La verificación del impacto de la aplicación de las estrategias propuestas se realizó de la siguiente manera: 1. Obtención y análisis de las notas obtenidas por los 2 paralelos en el primer bloque el año lectivo 2013-2014. 2. Obtención y análisis de las notas obtenidas por los dos paralelos en el primer bloque el año lectivo (2014-2015) 3. Comparación de los análisis obtenidos. 4. Aplicación y análisis de resultados de encuestas de contextualización y satisfacción de software al paralelo intervenido.

La focalización de la pobreza versus la construcción de capacidades ciudadanas: El dilema de los Comedores Comunitarios de Ciudad Bolívar

El interés de esta investigación diagnóstica es establecer la incidencia de la focalización de la pobreza en la construcción de capacidades ciudadanas de los usuarios de los Comedores Comunitarios de Ciudad Bolívar. Se identifica y analiza cómo los mecanismos de focalización aún cuando permiten que se implemente la política pública de Seguridad Alimentaria dentro de esta localidad, limitan el escenario de construcción de capacidades ciudadanas, en tanto que convierten al usuario en un sujeto de la política asistencial que carece de libertades para superar su condición de pobreza. Este ejercicio diagnóstico se apoya en la teoría de libertades y capacidades de Amartya Sen para su diseño metodológico, así como también para el análisis de la información obtenida en el marco de esta investigación.

Reflexiones sobre la ética en el actuar de los servidores públicos en Colombia desde 1991 hasta la actualidad

El presente estado del arte se propone abordar lo concerniente a la ética en las actuaciones de los servidores públicos en Colombia, mediante una revisión exhaustiva de la literatura pertinente que existe del tema, así como de las distintas normas regulatorias y documentos oficiales que versan sobre los servidores públicos. De esta manera, se hará especial énfasis en los cambios que ha tenido la organización, el funcionamiento y el control de quienes sirven al Estado colombiano desde la instauración de la actual Constitución Política de 1991. En consecuencia, se encontrarán algunas reflexiones sobre el tema, las cuales provienen de la investigación y de entrevistas realizadas a servidores públicos.

Oportunidades en los mercados de Nueva York, Nueva Jersey y Nebraska para las empresas colombianas

Actualmente, las barreras comerciales a nivel internacional resultan cada vez menos tangibles entre los diferentes mercados, haciendo que las oportunidades de comercialización de bienes y servicios entre países sea cada vez mayor. Sin embargo, es muy común todavía encontrarse con historias de fracaso en los esfuerzos de diferentes empresarios medianos y pequeños que en su momento decidieron emprender el camino de la internacionalización de sus compañías y que por diferentes factores, bien sea desconocimiento de leyes comerciales internacionales, desinformación primordial del mercado objetivo o simplemente por situaciones ajenas a ellos sufrieron esta adversidad y dejaron de lado su impulso e interés por internacionalizarse. Por tal razón, hemos enfocado nuestros esfuerzos en tratar de identificar las diferentes potencialidades y oportunidades que el empresario colombiano puede llegar a tener en cuatro estados de Estados Unidos de Norteamérica, Nueva York, Nueva Jersey, Nuevo Hampshire y Nebraska específicamente. La metodología a desarrollar a lo largo de esta investigación principalmente recoge información cualitativa y cuantitativa que nos permitirá desglosar diversos aspectos con mayor profundidad, para que el empresario interesado tenga un panorama más claro de lo que puede llegar a encontrarse en los estados mencionados anteriormente.

Materiais electrocrómicos e mecaelectroquímicos: contextualização e experimentação na disciplina de química do 12º ano

Durante os últimos 1O anos, em particular, tem-se assistido à descoberta e desenvolvimento de materiais com propriedades únicas e potencialmente úteis em vários domínios da Ciência e Tecnologia. Quer seja na área das Ciências Biomédicas e do Ambiente, na área das Novas Tecnologias de Informação e Comunicação ou nas Novas Tecnologias relacionadas com sistemas de Conversão e Armazenamento de Energia Eléctrica, encontram-se inúmeros exemplos de Novos Materiais com propriedades muito interessantes, e cujas aplicações inovadoras podem revolucionar o nosso Mundo. O presente trabalho é uma proposta de contextualização e experimentação do tema "Materiais Electrocrómicos e Mecaelectroquímicos" no Programa de Química de 12° Ano, nomeadamente na terceira Unidade - Plásticos, Vidros e Novos Materiais. Neste, é apresentada uma sub-unidade que possa integrar a unidade referida. Faz-se especial referência às aplicações dos polímeros condutores, que pela sua inovação e actualidade tomam a leccionação do tema mais apelativa, interessante e facilitadora de uma literacia científica. São apresentadas experiências laboratoriais demonstrativas e elucidativas do tema em questão. Como forma de apoiar a leccionação do referido tema, é apresentada a proposta de uma animação gráfica animada em Power Point. ABSTRACT: During the past 1O years, in particular, it has witnessed to the discovery and development of materials with unique properties and potentially useful in various fields of Science and Technology. There are numerous examples of new materials in different areas, such as Biomedical, Energy and Environmental Sciences and New information and Communication Technologies, with very interesting properties, and whose innovative applications can have an outstanding impact in our world. This dissertation is a proposal of contextualization and experimentation of theme "Electrochromic Materials and Electrochemical Artificial Muscles" in the Program of Chemistry, in 12th year, particularly in the third unit - Plastics, Glass and New Materials. lt will present a sub-unit that can integrate the unit above. The definitions and some applications of the Electrochromic Materials and Electrochemical Artificial Muscles are showed. Demonstrative and illustrative laboratory experiments of the theme are proposed. ln order to support the teaching of that subject, it is presented an animated graphical presentation in Power Point.

Violência contra o idoso

Aula em Power point narrada na qual são elucidadas as situações de violência domésticas contra o idoso, onde se reconhecem os indicadores da violência contra o idoso, com o conhecimento da legislação pertinente e do conhecimento das redes de apoio, proporcionando uma visão mais ampla ao profissional de saúde da APS.

Violência Doméstica

Aula em Power point narrada na qual são elucidadas as situações de violência domésticas, explicando a Lei Maria da Penha e as principais áreas de atuação do profissional da saúde.

Violência Infanto-Juvenil

Aula em Power point narrada na qual são elucidadas as situações de violência infanto-juvenis

O cuidador, a pessoa cuidada e a família

Vídeo aula em power point narrado que aborda o tema O cuidador, a pessoa cuidada e a família. Apresenta as alterações nos papeis do exercício do cuidado. Retoma as competências e habilidades do cuidador formal e informal no domicílio e junto ao paciente cuidado.

Orientação em saúde bucal-escola Adeildo Nepomuceno Marques,no município de Olivença-AL

As atividades preventivas e de promoção da saúde requerem instrumentos e habilidades compatíveis com as necessidades da comunidade gerando oportunidades de conhecimentos. Objetivou-se capacitar os cuidadores dos alunos da escola Adeildo Nepomuceno Marques, de Olivença-AL,reativando as ações educativas e subsidiando a saúde bucal do município. Foi realizado um levantamento epidemiológico com os escolares através do índice CPO-D,verificando alto índice de cárie dentária (CPO= 4,56).Diante do índice encontrado o presente trabalho realiza uma revisão bibliográfica sobre a epidemiologia da cárie dentária, e propõe um plano de intervenção convocando os pais e responsáveis, juntamente com os funcionários da escola para a realização de momentos de orientação em saúde bucal através de palestras e rodas de conversa.A utilização de apresentação em power point e exposição de macromodelos servirão de auxiliares para o esclarecimento da importância do cuidado com a saúde bucal, noções sobre as principais doenças bucais, bem como de higiene e nutrição. O cirurgião dentista possui um papel fundamental no enfrentamento das dificuldades da população e, através da articulação interdisciplinar para grupos permanentes de capacitação viabiliza a melhoria nos serviços oferecidos

Stereo-Based Head Pose Tracking Using Iterative Closest Point and Normal Flow Constraint

In this text, we present two stereo-based head tracking techniques along with a fast 3D model acquisition system. The first tracking technique is a robust implementation of stereo-based head tracking designed for interactive environments with uncontrolled lighting. We integrate fast face detection and drift reduction algorithms with a gradient-based stereo rigid motion tracking technique. Our system can automatically segment and track a user's head under large rotation and illumination variations. Precision and usability of this approach are compared with previous tracking methods for cursor control and target selection in both desktop and interactive room environments. The second tracking technique is designed to improve the robustness of head pose tracking for fast movements. Our iterative hybrid tracker combines constraints from the ICP (Iterative Closest Point) algorithm and normal flow constraint. This new technique is more precise for small movements and noisy depth than ICP alone, and more robust for large movements than the normal flow constraint alone. We present experiments which test the accuracy of our approach on sequences of real and synthetic stereo images. The 3D model acquisition system we present quickly aligns intensity and depth images, and reconstructs a textured 3D mesh. 3D views are registered with shape alignment based on our iterative hybrid tracker. We reconstruct the 3D model using a new Cubic Ray Projection merging algorithm which takes advantage of a novel data structure: the linked voxel space. We present experiments to test the accuracy of our approach on 3D face modelling using real-time stereo images.

Reducing inconsistencies in point observations of maximum flood inundation level

Flood simulation models and hazard maps are only as good as the underlying data against which they are calibrated and tested. However, extreme flood events are by definition rare, so the observational data of flood inundation extent are limited in both quality and quantity. The relative importance of these observational uncertainties has increased now that computing power and accurate lidar scans make it possible to run high-resolution 2D models to simulate floods in urban areas. However, the value of these simulations is limited by the uncertainty in the true extent of the flood. This paper addresses that challenge by analyzing a point dataset of maximum water extent from a flood event on the River Eden at Carlisle, United Kingdom, in January 2005. The observation dataset is based on a collection of wrack and water marks from two postevent surveys. A smoothing algorithm for identifying, quantifying, and reducing localized inconsistencies in the dataset is proposed and evaluated showing positive results. The proposed smoothing algorithm can be applied in order to improve flood inundation modeling assessment and the determination of risk zones on the floodplain.

USING PROBABILISTIC GRAPHICAL MODELS TO DRAW INFERENCES IN SENSOR NETWORKS WITH TRACKING APPLICATIONS

Sensor networks have been an active research area in the past decade due to the variety of their applications. Many research studies have been conducted to solve the problems underlying the middleware services of sensor networks, such as self-deployment, self-localization, and synchronization. With the provided middleware services, sensor networks have grown into a mature technology to be used as a detection and surveillance paradigm for many real-world applications. The individual sensors are small in size. Thus, they can be deployed in areas with limited space to make unobstructed measurements in locations where the traditional centralized systems would have trouble to reach. However, there are a few physical limitations to sensor networks, which can prevent sensors from performing at their maximum potential. Individual sensors have limited power supply, the wireless band can get very cluttered when multiple sensors try to transmit at the same time. Furthermore, the individual sensors have limited communication range, so the network may not have a 1-hop communication topology and routing can be a problem in many cases. Carefully designed algorithms can alleviate the physical limitations of sensor networks, and allow them to be utilized to their full potential. Graphical models are an intuitive choice for designing sensor network algorithms. This thesis focuses on a classic application in sensor networks, detecting and tracking of targets. It develops feasible inference techniques for sensor networks using statistical graphical model inference, binary sensor detection, events isolation and dynamic clustering. The main strategy is to use only binary data for rough global inferences, and then dynamically form small scale clusters around the target for detailed computations. This framework is then extended to network topology manipulation, so that the framework developed can be applied to tracking in different network topology settings. Finally the system was tested in both simulation and real-world environments. The simulations were performed on various network topologies, from regularly distributed networks to randomly distributed networks. The results show that the algorithm performs well in randomly distributed networks, and hence requires minimum deployment effort. The experiments were carried out in both corridor and open space settings. A in-home falling detection system was simulated with real-world settings, it was setup with 30 bumblebee radars and 30 ultrasonic sensors driven by TI EZ430-RF2500 boards scanning a typical 800 sqft apartment. Bumblebee radars are calibrated to detect the falling of human body, and the two-tier tracking algorithm is used on the ultrasonic sensors to track the location of the elderly people.

Localization and Tracking in Energy-Constrained Networks with Dynamic Connectivity

Systems used for target localization, such as goods, individuals, or animals, commonly rely on operational means to meet the final application demands. However, what would happen if some means were powered up randomly by harvesting systems? And what if those devices not randomly powered had their duty cycles restricted? Under what conditions would such an operation be tolerable in localization services? What if the references provided by nodes in a tracking problem were distorted? Moreover, there is an underlying topic common to the previous questions regarding the transfer of conceptual models to reality in field tests: what challenges are faced upon deploying a localization network that integrates energy harvesting modules? The application scenario of the system studied is a traditional herding environment of semi domesticated reindeer (Rangifer tarandus tarandus) in northern Scandinavia. In these conditions, information on approximate locations of reindeer is as important as environmental preservation. Herders also need cost-effective devices capable of operating unattended in, sometimes, extreme weather conditions. The analyses developed are worthy not only for the specific application environment presented, but also because they may serve as an approach to performance of navigation systems in absence of reasonably accurate references like the ones of the Global Positioning System (GPS). A number of energy-harvesting solutions, like thermal and radio-frequency harvesting, do not commonly provide power beyond one milliwatt. When they do, battery buffers may be needed (as it happens with solar energy) which may raise costs and make systems more dependent on environmental temperatures. In general, given our problem, a harvesting system is needed that be capable of providing energy bursts of, at least, some milliwatts. Many works on localization problems assume that devices have certain capabilities to determine unknown locations based on range-based techniques or fingerprinting which cannot be assumed in the approach considered herein. The system presented is akin to range-free techniques, but goes to the extent of considering very low node densities: most range-free techniques are, therefore, not applicable. Animal localization, in particular, uses to be supported by accurate devices such as GPS collars which deplete batteries in, maximum, a few days. Such short-life solutions are not particularly desirable in the framework considered. In tracking, the challenge may times addressed aims at attaining high precision levels from complex reliable hardware and thorough processing techniques. One of the challenges in this Thesis is the use of equipment with just part of its facilities in permanent operation, which may yield high input noise levels in the form of distorted reference points. The solution presented integrates a kinetic harvesting module in some nodes which are expected to be a majority in the network. These modules are capable of providing power bursts of some milliwatts which suffice to meet node energy demands. The usage of harvesting modules in the aforementioned conditions makes the system less dependent on environmental temperatures as no batteries are used in nodes with harvesters--it may be also an advantage in economic terms. There is a second kind of nodes. They are battery powered (without kinetic energy harvesters), and are, therefore, dependent on temperature and battery replacements. In addition, their operation is constrained by duty cycles in order to extend node lifetime and, consequently, their autonomy. There is, in turn, a third type of nodes (hotspots) which can be static or mobile. They are also battery-powered, and are used to retrieve information from the network so that it is presented to users. The system operational chain starts at the kinetic-powered nodes broadcasting their own identifier. If an identifier is received at a battery-powered node, the latter stores it for its records. Later, as the recording node meets a hotspot, its full record of detections is transferred to the hotspot. Every detection registry comprises, at least, a node identifier and the position read from its GPS module by the battery-operated node previously to detection. The characteristics of the system presented make the aforementioned operation own certain particularities which are also studied. First, identifier transmissions are random as they depend on movements at kinetic modules--reindeer movements in our application. Not every movement suffices since it must overcome a certain energy threshold. Second, identifier transmissions may not be heard unless there is a battery-powered node in the surroundings. Third, battery-powered nodes do not poll continuously their GPS module, hence localization errors rise even more. Let's recall at this point that such behavior is tight to the aforementioned power saving policies to extend node lifetime. Last, some time is elapsed between the instant an identifier random transmission is detected and the moment the user is aware of such a detection: it takes some time to find a hotspot. Tracking is posed as a problem of a single kinetically-powered target and a population of battery-operated nodes with higher densities than before in localization. Since the latter provide their approximate positions as reference locations, the study is again focused on assessing the impact of such distorted references on performance. Unlike in localization, distance-estimation capabilities based on signal parameters are assumed in this problem. Three variants of the Kalman filter family are applied in this context: the regular Kalman filter, the alpha-beta filter, and the unscented Kalman filter. The study enclosed hereafter comprises both field tests and simulations. Field tests were used mainly to assess the challenges related to power supply and operation in extreme conditions as well as to model nodes and some aspects of their operation in the application scenario. These models are the basics of the simulations developed later. The overall system performance is analyzed according to three metrics: number of detections per kinetic node, accuracy, and latency. The links between these metrics and the operational conditions are also discussed and characterized statistically. Subsequently, such statistical characterization is used to forecast performance figures given specific operational parameters. In tracking, also studied via simulations, nonlinear relationships are found between accuracy and duty cycles and cluster sizes of battery-operated nodes. The solution presented may be more complex in terms of network structure than existing solutions based on GPS collars. However, its main gain lies on taking advantage of users' error tolerance to reduce costs and become more environmentally friendly by diminishing the potential amount of batteries that can be lost. Whether it is applicable or not depends ultimately on the conditions and requirements imposed by users' needs and operational environments, which is, as it has been explained, one of the topics of this Thesis.