936 resultados para Murri Watch


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Pós-graduação em Docência para a Educação Básica - FC

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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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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Aim To assess the distribution, group size, seasonal occurrence and annual trends of cetaceans. Location The study area included all major inland waters of Southeast Alaska. Methods Between 1991 and 2007, cetacean surveys were conducted by observers who kept a constant watch when the vessel was underway and recorded all cetaceans encountered. For each species, we examined distributional patterns, group size, seasonal occurrence and annual trends. Analysis of variance (anova F) was used to test for differences in group sizes between multiple means, and Student’s t-test was used to detect differences between pairwise means. Cetacean seasonal occurrence and annual trends were investigated using a generalized linear model framework. Results Humpback whales (Megaptera novaeangliae) were seen throughout the region, with numbers lowest in spring and highest in the fall. Fin whale (Balaenoptera physalus) and minke whale (Balaenoptera acutorostrata) distributions were more restricted than that reported for humpback whales, and the low number of sightings precluded evaluating seasonal trends. Three killer whale (Orcinus orca) eco-types were documented with distributions occurring throughout inland waters. Seasonal patterns were not detected or could not be evaluated for resident and offshore killer whales, respectively; however, the transient eco-type was more abundant in the summer. Dall’s porpoise (Phocoenoides dalli) were distributed throughout the region, with more sightings in spring and summer than in fall. Harbour porpoise (Phocoena phocoena) distribution was clumped, with concentrations occurring in the Icy Strait/Glacier Bay and Wrangell areas and with no evidence of seasonality. Pacific white-sided dolphins (Lagenorhynchus obliquidens) were observed only occasionally, with more sightings in the spring. For most species, group size varied on both an annual and seasonal basis. Main conclusions Seven cetacean species occupy the inland waters of Southeast Alaska, with distribution, group size, seasonal occurrence and annual trends varying by species. Future studies that compare spatial and temporal patterns with other features (e.g. oceanography, prey resources) may help in identifying the key factors that support the high density and biodiversity of cetaceans found in this region. An increased understanding of the region’s marine ecology is an essential step towards ensuring the long-term conservation of cetaceans in Southeast Alaska.

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The 2010 Crop Enterprise Budgets will soon be published. They will be available on the web in two places: the University of Nebraska’s “Crop Watch” website (http://cropwatch.unl.edu) in the Economics and Marketing section, and on the Agricultural Economics website at http://www.agecon.unl.edu.

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A pesquisa latino-americana de comunicação lembra uma ilha isolada, indiferente aos grandes debates filosófico- comunicacionais do século 20. Martín-Barbero ainda pensa segundo o modelo das totalidades e das hegemonias. Estudar a comunicação, para ele, é intervir, agir socialmente, e o processo comunicacional não está no ato de se assistir a TV, mas nas trocas que o receptor faz, lá fora, com sua comunidade. Néstor Canclini, trabalhando com arte e cultura popular, é mais realista, vê o consumo como feito da cumplicidade entre a sociedade civil e o Estado. Critica os que enaltecem os objetos da arte popular e se esquecem dos homens e de seus processos. Guillermo Orozco segue Martín-Barbero e critica as pesquisas que se ocupam do ato comunicacional específico. É alguém que busca a ressurreição dos agentes que vão esclarecer as pessoas como assistir “corretamente” à TV

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Acto celebrado en el Museo Elder de la Ciencia y la Tecnología (Las Palmas de Gran Canaria, el 16 de de mayo de 2014 y seguido en directo desde el canal del Museo Elder https://www.youtube.com/watch?v=CGFSvs05bWI&list=UUeRcLTpyOAvfRULCIAWQvIQ

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[ES] El objetivo de este trabajo es presentar una herramienta desarrollada para observar, codificar y analizar el ataque en el balonmano 2 vs 2, analizando la fiabilidad. La herramienta está constituida por un sistema mixto de formato de campo y sistemas de categorías. Se ha utilizado el programa informático Hoisan para observar los partidos con el fin de comprobar la fiabilidad del sistema.

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The term Ambient Intelligence (AmI) refers to a vision on the future of the information society where smart, electronic environment are sensitive and responsive to the presence of people and their activities (Context awareness). In an ambient intelligence world, devices work in concert to support people in carrying out their everyday life activities, tasks and rituals in an easy, natural way using information and intelligence that is hidden in the network connecting these devices. This promotes the creation of pervasive environments improving the quality of life of the occupants and enhancing the human experience. AmI stems from the convergence of three key technologies: ubiquitous computing, ubiquitous communication and natural interfaces. Ambient intelligent systems are heterogeneous and require an excellent cooperation between several hardware/software technologies and disciplines, including signal processing, networking and protocols, embedded systems, information management, and distributed algorithms. Since a large amount of fixed and mobile sensors embedded is deployed into the environment, the Wireless Sensor Networks is one of the most relevant enabling technologies for AmI. WSN are complex systems made up of a number of sensor nodes which can be deployed in a target area to sense physical phenomena and communicate with other nodes and base stations. These simple devices typically embed a low power computational unit (microcontrollers, FPGAs etc.), a wireless communication unit, one or more sensors and a some form of energy supply (either batteries or energy scavenger modules). WNS promises of revolutionizing the interactions between the real physical worlds and human beings. Low-cost, low-computational power, low energy consumption and small size are characteristics that must be taken into consideration when designing and dealing with WSNs. To fully exploit the potential of distributed sensing approaches, a set of challengesmust be addressed. Sensor nodes are inherently resource-constrained systems with very low power consumption and small size requirements which enables than to reduce the interference on the physical phenomena sensed and to allow easy and low-cost deployment. They have limited processing speed,storage capacity and communication bandwidth that must be efficiently used to increase the degree of local ”understanding” of the observed phenomena. A particular case of sensor nodes are video sensors. This topic holds strong interest for a wide range of contexts such as military, security, robotics and most recently consumer applications. Vision sensors are extremely effective for medium to long-range sensing because vision provides rich information to human operators. However, image sensors generate a huge amount of data, whichmust be heavily processed before it is transmitted due to the scarce bandwidth capability of radio interfaces. In particular, in video-surveillance, it has been shown that source-side compression is mandatory due to limited bandwidth and delay constraints. Moreover, there is an ample opportunity for performing higher-level processing functions, such as object recognition that has the potential to drastically reduce the required bandwidth (e.g. by transmitting compressed images only when something ‘interesting‘ is detected). The energy cost of image processing must however be carefully minimized. Imaging could play and plays an important role in sensing devices for ambient intelligence. Computer vision can for instance be used for recognising persons and objects and recognising behaviour such as illness and rioting. Having a wireless camera as a camera mote opens the way for distributed scene analysis. More eyes see more than one and a camera system that can observe a scene from multiple directions would be able to overcome occlusion problems and could describe objects in their true 3D appearance. In real-time, these approaches are a recently opened field of research. In this thesis we pay attention to the realities of hardware/software technologies and the design needed to realize systems for distributed monitoring, attempting to propose solutions on open issues and filling the gap between AmI scenarios and hardware reality. The physical implementation of an individual wireless node is constrained by three important metrics which are outlined below. Despite that the design of the sensor network and its sensor nodes is strictly application dependent, a number of constraints should almost always be considered. Among them: • Small form factor to reduce nodes intrusiveness. • Low power consumption to reduce battery size and to extend nodes lifetime. • Low cost for a widespread diffusion. These limitations typically result in the adoption of low power, low cost devices such as low powermicrocontrollers with few kilobytes of RAMand tenth of kilobytes of program memory with whomonly simple data processing algorithms can be implemented. However the overall computational power of the WNS can be very large since the network presents a high degree of parallelism that can be exploited through the adoption of ad-hoc techniques. Furthermore through the fusion of information from the dense mesh of sensors even complex phenomena can be monitored. In this dissertation we present our results in building several AmI applications suitable for a WSN implementation. The work can be divided into two main areas:Low Power Video Sensor Node and Video Processing Alghoritm and Multimodal Surveillance . Low Power Video Sensor Nodes and Video Processing Alghoritms In comparison to scalar sensors, such as temperature, pressure, humidity, velocity, and acceleration sensors, vision sensors generate much higher bandwidth data due to the two-dimensional nature of their pixel array. We have tackled all the constraints listed above and have proposed solutions to overcome the current WSNlimits for Video sensor node. We have designed and developed wireless video sensor nodes focusing on the small size and the flexibility of reuse in different applications. The video nodes target a different design point: the portability (on-board power supply, wireless communication), a scanty power budget (500mW),while still providing a prominent level of intelligence, namely sophisticated classification algorithmand high level of reconfigurability. We developed two different video sensor node: The device architecture of the first one is based on a low-cost low-power FPGA+microcontroller system-on-chip. The second one is based on ARM9 processor. Both systems designed within the above mentioned power envelope could operate in a continuous fashion with Li-Polymer battery pack and solar panel. Novel low power low cost video sensor nodes which, in contrast to sensors that just watch the world, are capable of comprehending the perceived information in order to interpret it locally, are presented. Featuring such intelligence, these nodes would be able to cope with such tasks as recognition of unattended bags in airports, persons carrying potentially dangerous objects, etc.,which normally require a human operator. Vision algorithms for object detection, acquisition like human detection with Support Vector Machine (SVM) classification and abandoned/removed object detection are implemented, described and illustrated on real world data. Multimodal surveillance: In several setup the use of wired video cameras may not be possible. For this reason building an energy efficient wireless vision network for monitoring and surveillance is one of the major efforts in the sensor network community. Energy efficiency for wireless smart camera networks is one of the major efforts in distributed monitoring and surveillance community. For this reason, building an energy efficient wireless vision network for monitoring and surveillance is one of the major efforts in the sensor network community. The Pyroelectric Infra-Red (PIR) sensors have been used to extend the lifetime of a solar-powered video sensor node by providing an energy level dependent trigger to the video camera and the wireless module. Such approach has shown to be able to extend node lifetime and possibly result in continuous operation of the node.Being low-cost, passive (thus low-power) and presenting a limited form factor, PIR sensors are well suited for WSN applications. Moreover techniques to have aggressive power management policies are essential for achieving long-termoperating on standalone distributed cameras needed to improve the power consumption. We have used an adaptive controller like Model Predictive Control (MPC) to help the system to improve the performances outperforming naive power management policies.

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In the last decades, the building materials and construction industry has been contributing to a great extent to generate a high impact on our environment. As it has been considered one of the key areas in which to operate to significantly reduce our footprint on environment, there has been widespread belief that particular attention now has to be paid and specific measures have to be taken to limit the use of non-renewable resources.The aim of this thesis is therefore to study and evaluate sustainable alternatives to commonly used building materials, mainly based on ordinary Portland Cement, and find a supportable path to reduce CO2 emissions and promote the re-use of waste materials. More specifically, this research explores different solutions for replacing cementitious binders in distinct application fields, particularly where special and more restricting requirements are needed, such as restoration and conservation of architectural heritage. Emphasis was thus placed on aspects and implications more closely related to the concept of non-invasivity and environmental sustainability. A first part of the research was addressed to the study and development of sustainable inorganic matrices, based on lime putty, for the pre-impregnation and on-site binding of continuous carbon fiber fabrics for structural rehabilitation and heritage restoration. Moreover, with the aim to further limit the exploitation of non-renewable resources, the synthesis of chemically activated silico-aluminate materials, as metakaolin, ladle slag or fly ash, was thus successfully achieved. New sustainable binders were hence proposed as novel building materials, suitable to be used as primary component for construction and repair mortars, as bulk materials in high-temperature applications or as matrices for high-toughness fiber reinforced composites.

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Summary PhD Thesis Jan Pollmann: This thesis focuses on global scale measurements of light reactive non-methane hydrocarbon (NMHC), in the volatility range from ethane to toluene with a special focus on ethane, propane, isobutane, butane, isopentane and pentane. Even though they only occur at the ppt level (nmol mol-1) in the remote troposphere these species can yield insight into key atmospheric processes. An analytical method was developed and subsequently evaluated to analyze NMHC from the NOAA – ERSL cooperative air sampling network. Potential analytical interferences through other atmospheric trace gases (water vapor and ozone) were carefully examined. The analytical parameters accuracy and precision were analyzed in detail. It was proven that more than 90% of the data points meet the Global Atmospheric Watch (GAW) data quality objective. Trace gas measurements from 28 measurement stations were used to derive the global atmospheric distribution profile for 4 NMHC (ethane, propane, isobutane, butane). A close comparison of the derived ethane data with previously published reports showed that northern hemispheric ethane background mixing ratio declined by approximately 30% since 1990. No such change was observed for southern hemispheric ethane. The NMHC data and trace gas data supplied by NOAA ESRL were used to estimate local diurnal averaged hydroxyl radical (OH) mixing ratios by variability analysis. Comparison of the variability derived OH with directly measured OH and modeled OH mixing ratios were found in good agreement outside the tropics. Tropical OH was on average two times higher than predicted by the model. Variability analysis was used to assess the effect of chlorine radicals on atmospheric oxidation chemistry. It was found that Cl is probably not of significant relevance on a global scale.

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Im Rahmen dieser Promotionsarbeit wurden Fragestellungen der troposphärischen Ozonproduktion, des photostationären Gleichgewicht des NO2-NO-O3-ROx-Systems, des Einflusses von heterogenen Reaktionen an Mineralstauboberflächen und der Bedeutung lokaler anthropogener Emissionen für Spurengasmessungen an einem Gebirgsobservatorium untersucht. Dazu wurde insbesondere ein atmosphärenchemisch-meteorologischer Datensatz ausgewertet, welcher während der Feldmesskampagne MINATROC II im Juli/August 2002 am Global Atmosphere Watch (GAW) Observatorium Izana (2360m über NN) auf Teneriffa gewonnen wurde. Der Datensatz enthält Messdaten von Aerosolen, Spurengasen, Strahlungsgrößen und meteorologischen Parametern. Eine dichte Sahara-Staubwolke passierte die Messstation zwischen dem 28. und 31.07.2002. Die Mischungsverhältnisse von O3, H2O2, NOx und ROx zeigten während dieses Ereignisses Abnahmen zwischen 10% und 50%. Insbesondere infolge der Reduktion von NO und HO2 wurde eine deutliche Verringerung der Netto-Ozon-Produktion in der Staubwolke berechnet. Die Bewertung der verschiedenen Terme der Ozonproduktion bzw. –vernichtung zeigte relativ geringe Beiträge der einzelnen photochemischen Verlustreaktionen am Ozonbudget. Im Rahmen einer Boxmodellstudie, welche die Eingangsdaten von MINATROC II verwendete, wurde ein Vergleich zwischen Simulation und Messung kurzlebiger Spurengase angestellt. Die Modellrechnungen weisen darauf hin, dass die reduzierten H2O2-Mischungsverhältnisse in der Sahara-Staubwolke unter Berücksichtigung heterogener Reaktionen von HO2 bzw. H2O2 an Stauboberflächen erklärt werden können. Die Betrachtungen zum photostationären Gleichgewicht des NO2-NO-O3-ROx-Systems ergeben hauptsächlich stark überhöhte Leighton-Verhältnisse. Die Abweichungen der Messdaten vom photostationären Gleichgewichtszustand sind dabei zum Verschmutzungsgrad der Atmosphäre antikorreliert. Eine Reihe potentieller Einflüsse auf das NO2-NO-O3-ROx-System wurde diskutiert, wobei gezeigt werden konnte, dass das bisherige Betrachtungsmodell nicht ausreicht, um die beobachteten Abweichungen vom photostationären Gleichgewicht zu erklären. Während für die Nachtmessungen von MINATROC II Bedingungen der freien Troposphäre vorlagen, waren die Messungen am Tage von der Kopplung zwischen photochemischer Aktivität und thermisch getriebener Hangströmung betroffen. Die zum Messort gelangte anthropogen beeinflusste Grenzschichtluft konnte dabei auf maximalen Mischungsanteilen zwischen 15% und 85% quantifiziert werden. Abschließend wurden verschiedene Aspekte der Quellen und der Verteilung anthropogener Verschmutzungen auf Teneriffa im Zusammenhang der zuvor behandelten Fragen diskutiert.

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Oggigiorno milioni di persone fanno uso di Internet per gli utilizzi più disparati: dalla ricerca di informazioni sul Web al gioco online; dall'invio e ricezione di email all'uso di applicazioni social e tante altre attività. Mentre milioni di dispositivi ci offrono queste possibilità, un grande passo in avanti sta avvenendo in relazione all'uso di Internet come una piattaforma globale che permetta a oggetti di tutti i giorni di coordinarsi e comunicare tra di loro. È in quest'ottica che nasce Internet of Things, l'Internet delle cose, dove un piccolo oggetto come un braccialetto può avere un grande impatto nel campo medico per il monitoraggio da remoto di parametri vitali o per la localizzazione di pazienti e personale e l'effettuazione di diagnosi da remoto; dove un semplice sensore ad infrarosso può allertarci a distanza di una presenza non autorizzata all'interno della nostra abitazione; dove un'autovettura è in grado di leggere i dati dai sensori distribuiti sulla strada. Questa tesi vuole ripercorrere gli aspetti fondamentali di Internet of Things, dai sistemi embedded fino alla loro applicazione nella vita odierna, illustrando infine un progetto che mostra come alcune tecnologie IoT e wearable possano integrarsi nella domotica, come per esempio l'utilizzo di uno smartwatch, come Apple Watch, per il controllo dell'abitazione.

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Negli ultimi anni il mondo ha assistito ad un'espansione esponenziale del mercato mobile, un settore che ha rivoluzionato le nostre vite e le nostre abitudini. Parallelamente, sono entrati in commercio i primi dispositivi commerciali dell'era dell'Internet delle Cose (Internet-of-Things), un paradigma secondo il quale oggetti utilizzati quotidianamente possono dialogare tra loro mediante Internet al fine di migliorare la vita personale e i processi produttivi aziendali. Un'applicazione pratica di Internet-of-Things è costituita dai dispositivi indossabili (wearable) capaci per mezzo di sensori di raccogliere dati sanitari, ambientali e fisici attorno a noi. I dispositivi indossabili attualmente in commercio permettono di collegarsi tramite protocolli e standard come WiFi e Bluetooth ad altri dispositivi, siano essi indossabili, smartphone o computer. Da questo concetto nasce l’idea di far comunicare un indossabile con altri dispositivi utilizzati in un contesto aziendale. In questo documento verrà preso in considerazione un tassello fondamentale nella gestione delle risorse umane e della sicurezza: il controllo degli accessi in un edificio e lo sblocco di un varco, sia esso un tornello, una porta o una serranda. Verrà quindi analizzato e progettato un sistema che possa effettuare le operazioni di timbratura e di apertura di varchi dall'orologio Apple Watch e da iPhone collegandosi ad un terminale dedicato.