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Tecnologias de Rede - CTI Renato Archer

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Project log

Ademir Xavier
added a research item
This paper introduces and describes an innovative automatic equipment to inspect the assembly of Pin Through Hole – PTH components on printed circuit boards (PCBs). This equipment is designed, developed and tested for automatically inspecting the process of inserting PTH components on PCBs. The performance of this equipment was tested on an industrial assembly line of motherboards for desktop computers. A first pilot test was conducted to inspect, under the binomial criterion pass/fail, the manual process of inserting two PTH-DIMM components, containing 240 pins each, in 469 semi-finished PCBs. Using the well-established concept of inspection accuracy in binomial classification analysis to the measured values, it is estimated that the accuracy of this equipment is greater than 98%.
Ademir Xavier
added a research item
A brief presentation on numerical methods to "generate" rainfall in order to simulate a network of rain sensors.
Sergio Celaschi
added a research item
reportamos resultados teóricos e dados experimentais de filtros espectrais adiabáticos feitos de fibras de perfis bicônicos. Tais dispositivos foram fabricados utilizando fibras com depressão na casca, apresentando FSR = 1 nm, e com isolação de 30 dB.
Sergio Celaschi
added a research item
The period between 2013 and 2014 was characterized by a severe drought in the South American southeast, in particular, in the most populated state of Brazil, São Paulo, with the influence of a high-pressure zone at 6000 m above sea level that blocked most of the humid fronts from the Amazon forest (South Atlantic convergence zone, SACZ). The drought started by the end of the dry season in the southern hemisphere, October 2013, triggering one of the most severe water shortage crisis in the city of São Paulo. We present a study based on remote sensed GRACE (Gravity Recovery and Climate Experiment) data for the state and the city of São Paulo showing a correlation between groundwater equivalents and surface data obtained from the largest water supply system (WSS) of the city. Moreover, we provide advanced forecasts for the annual peak recovery using both GRACE and WSS data confirming the existence of a time lag between surface and water ground equivalent measures.
Sergio Celaschi
added 12 research items
A massive network of rain gauge stations and other hydro-meteorological platforms are being deployed by the CTI/FACTI collaboration through DTR, whose aim is to provide a real time warning system for the population in case of severe climatic anomalies. This network is in fact a subsystem of a wider set of monitoring stations presently commissioned by CEMADEN (www.cemaden.gov.br), the Brazilian Center for Natural Disaster Monitoring and Alerts.
Background Recent national developments in alert systems are the main motivation of this work. The aim is to provide an account on the development and first tests of a new Meteorological Alert System—MAS for mobile devices to deliver alert signals. The fundamentals encompass a summary description of the Brazilian government towards the installation and maintenance of a national wide climate sensor network where the new Meteorological Alert System can be integrated. The main challenges in installing and maintaining such a network in face of its continental scope are presented. Methods The method describes the emulation of rain precipitation, which requires (a) the development of a data model for rain gauges (called DCP, or Data Collection Platforms) and (b) a data interface with the existing network. After testing several rain simulation models, the DCP system is converted into a signal server to provide parametric regulated data. The emulator facilitates the creation of pluviometric surrogate data and therefore the test of extreme situations. The MAS system is completed by the development of a front-end mobile application where the alerts are received by end users. We discuss classes and metrics used to evaluate the emulator performance and its integration to the alert system. We describe the DCP data structures, the rain simulator functions, and its interface with the MAS. ResultsRain gauge emulated data sets for several parametric conditions and test performance results of the mobile application integrated to the rain emulator are discussed. We present and discuss an interface to easily access the entire rain gauge network using mobile devices. Conclusions Alert acquisition by the end user is a complex sequence of commands and integrated hardware involving a considerable amount of numerical work in weather forecasting. Consequently, modeling the information flow, and performing tests of a mobile application, justifies our initiative as a set-up stage prior to massive dissemination of an alert system fed by real data.
This paper presents a report on the status of a Brazilian network of automatic hydro-meteorological stations. These stations were projected, acquired and installed by the " Centro de Monitoramento e Alerta de Desastres Naturais – CEMADEN " in order to develop and implement a system for monitoring natural disasters. CEMADEN provides early warnings for natural disasters affecting Brazil, analyses and issues alerts associated to floods and impacts of severe droughts. We present the challenges of planning, installing and maintaining such a network, besides collecting and processing a large amount of data generated on an area comprising diversified environments and distinct socioeconomically scenarios.