936 resultados para Data Acquisition Methods.


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Detta examensarbete har genomförts av två studenter vid Högskolan Dalarna i samarbete medIT-konsultbolaget Istone Concrevi. Edsbyverken, som är en möbeltillverkare baserad i Edsbyn,är kund hos Istone och har ett behov att öka sin leveranssäkerhet. Företaget upplever också attdet finns en bristande sammanhållning mellan de som arbetar administrativt och de som arbetarmed tillverkning i verksamheten. Edsbyverken hoppas att en ökad sammanhållning ska varabidragande till en bättre leveranssäkerhet. Sammanhållning är ett begrepp som är vanligtförekommande inom idrott och lagsporter och förknippas ofta med framgång inom idrotten.Forskningsstrategin som används i studien är design and creation som fokuserar på att skapa nyaIT-produkter, artefakter. Denna studie har resulterat i en artefakt av typen instansiering i form aven applikation som utvecklats med hjälp av ett användarcentrerat och agilt arbetssätt. Syftet medstudien är att undersöka och testa hur teorier inom idrottspsykologi kan användas inom ettsystemutvecklingsprojekt med ändamål att få artefakten och utvecklingsprocessen att främjasammanhållning hos verksamheten. Datainsamlingsmetoder som använts i studien är intervjueroch enkäter. Intervjuerna har använts för att insamla bakgrundsinfo från verksamheten ochönskemål kring appen och enkäterna för feedback på appen samt för att utvärderasystemutvecklingens och appens påverkan på sammanhållningen.Resultaten från datainsamlingen är i många fall spretande med allt från positiva omdömen sommenar att sammanhållningen förbättrats, till negativa som menar att ingen inverkan skett. Vid ensammanvägning kan man dock se att majoriteten menar att detta forskningsprojekt inte lyckatsmed att förbättra sammanhållningen. En viss andel anställda vid Edsbyverken tror dock attsammanhållningen kan öka på längre sikt. Slutsatsen kring idrottspsykologi är att den vid enkoppling till systemutveckling har ett begränsat användningsområde och att många av de teoriersom förekommer om sammanhållning inte är användbara eller passande vidsystemutvecklingsarbete.

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A challenge for the clinical management of Parkinson's disease (PD) is the large within- and between-patient variability in symptom profiles as well as the emergence of motor complications which represent a significant source of disability in patients. This thesis deals with the development and evaluation of methods and systems for supporting the management of PD by using repeated measures, consisting of subjective assessments of symptoms and objective assessments of motor function through fine motor tests (spirography and tapping), collected by means of a telemetry touch screen device. One aim of the thesis was to develop methods for objective quantification and analysis of the severity of motor impairments being represented in spiral drawings and tapping results. This was accomplished by first quantifying the digitized movement data with time series analysis and then using them in data-driven modelling for automating the process of assessment of symptom severity. The objective measures were then analysed with respect to subjective assessments of motor conditions. Another aim was to develop a method for providing comparable information content as clinical rating scales by combining subjective and objective measures into composite scores, using time series analysis and data-driven methods. The scores represent six symptom dimensions and an overall test score for reflecting the global health condition of the patient. In addition, the thesis presents the development of a web-based system for providing a visual representation of symptoms over time allowing clinicians to remotely monitor the symptom profiles of their patients. The quality of the methods was assessed by reporting different metrics of validity, reliability and sensitivity to treatment interventions and natural PD progression over time. Results from two studies demonstrated that the methods developed for the fine motor tests had good metrics indicating that they are appropriate to quantitatively and objectively assess the severity of motor impairments of PD patients. The fine motor tests captured different symptoms; spiral drawing impairment and tapping accuracy related to dyskinesias (involuntary movements) whereas tapping speed related to bradykinesia (slowness of movements). A longitudinal data analysis indicated that the six symptom dimensions and the overall test score contained important elements of information of the clinical scales and can be used to measure effects of PD treatment interventions and disease progression. A usability evaluation of the web-based system showed that the information presented in the system was comparable to qualitative clinical observations and the system was recognized as a tool that will assist in the management of patients.

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De flesta har i sin närhet någon som drabbats av cancer och sjukdomsfallen har ökat genom åren. Den yrkesgrupp som ställer diagnos av denna sjukdom är patologer. Bristen på patologer är idagsläget stor och det finns därför ett behov av att finna effektiva lösningar för att möta denna brist och en ökande mängd patienter. För att digitalisera vävnadsproven som diagnostiseras, scannas dessa in med en glasscanner. Dessa digitala bildfiler kan sedan visas i ett bildvisningsprogram och delas digitalt mellan patologer på distans. Detta begrepp kallas för telepatologi. Studien utgår utifrån följande frågeställningar: Vilka krav är väsentliga och bör ingå i en utvärdering för bildvisningsprogram avsedda för diagnostik inom telepatologi? Vilket bildvisningsprogram är mest lämpat att implementeras i ett webbaserat system baserat på dessa väsentliga krav? Syftet med studien är att undersöka vilka krav som är väsentliga och bör ingå i en utvärdering av bildvisningsprogram avsedda för diagnostik inom telepatologi, samt att utföra en utvärdering av ett urval bildvisningsprogramvaror med hjälp av dessa krav. En fallstudie genomfördes med datainsamlingsmetoderna: intervjuer med två personer från studiens samarbetspartner CGM, Frågeformulär där Sveriges patologer var respondenter samt dokumentstudier för att samla in information gällande bildvisningsprogrammen. Studien tillämpar utvalda delar ur Anders G. Nilssons SIV-metod som tillvägagångsätt för att samla in krav samt för att göra ett urval av bildvisningsprogram som sedan utvärderas gentemot dessa krav. Resultaten av datainsamlingarna analyserades och ledde till ett kravdokument med väsentliga krav.Tre så kallade utslagsgivande faktorer bland dessa krav var att bildvisningsprogrammet måste vara webbaserat utan installation på klient, funktioner för in- och ut-zoomning samt panorering måste finnas. Utvärderingen av utvalda bildvisningsprogram visade slutligen att OpenSlide var mest lämpad att implementeras i ett webbaserat system.

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Forskningen visar att förändringar av informationsteknologin och en ökande anskaffning av nya programvaror har lett till underliggande problem som kan drabba heterogena programvarulicensmiljöer och stora organisationer. Underliggande problem i den stora kontexten är mjukvaruhantering. Licenshantering av programvaror är just en förgrening av det stora problemet. Stora organisationer som en kommunal verksamhet är drabbad av det här underliggande problemet på grund av komplexitet hos organisationens miljö. Att tillämpa förändringar i området programvarulicens är omöjligt utan att göra förändringar i hela den organisationsprocess som följer med det. Fallstudiens uppdrag är ett nytt omfattande område kring licenshantering av programvaror som kan vara väldigt lärorikt och en bra erfarenhet att ta del av. Uppsatsen beskriver hur en kommunal verksamhets licenshantering av programvaror ser ut och de problem som finns med den nuvarande licenshanteringsprocessen. Förarbetet med en litteraturstudie tillsammans med datagenereringsmetoderna intervjuer, dokumentstudier och observationer används för att studera fallet på djupet. Målet är att kunna ta fram de nuvarande problem som finns, analysera dem och ge rekommendation för åtgärder som det studerade fallobjektet, Falu Kommuns IT-kontor, kan använda. En rekommendation för en tydlig licenshanteringsprocessmodell anses vara ett bra akademiskt bidrag eftersom problemet med licenshanteringen av programvaror är ett generellt problem. Uppsatsens resultat är en processmodell om licenshantering av programvaror för organisationer med IT-tjänstkunder. Det är en generisk lösning som skulle kunna användas av andra kommunverksamheter och liknande organisationer.

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Internet of Things är ett samlingsbegrepp för den utveckling som innebär att olika typer av enheter kan förses med sensorer och datachip som är uppkopplade mot internet. En ökad mängd data innebär en ökad förfrågan på lösningar som kan lagra, spåra, analysera och bearbeta data. Ett sätt att möta denna förfrågan är att använda sig av molnbaserade realtidsanalystjänster. Multi-tenant och single-tenant är två typer av arkitekturer för molnbaserade realtidsanalystjänster som kan användas för att lösa problemen med hanteringen av de ökade datamängderna. Dessa arkitekturer skiljer sig åt när det gäller komplexitet i utvecklingen. I detta arbete representerar Azure Stream Analytics en multi-tenant arkitektur och HDInsight/Storm representerar en single-tenant arkitektur. För att kunna göra en jämförelse av molnbaserade realtidsanalystjänster med olika arkitekturer, har vi valt att använda oss av användbarhetskriterierna: effektivitet, ändamålsenlighet och användarnöjdhet. Vi kom fram till att vi ville ha svar på följande frågor relaterade till ovannämnda tre användbarhetskriterier: • Vilka likheter och skillnader kan vi se i utvecklingstider? • Kan vi identifiera skillnader i funktionalitet? • Hur upplever utvecklare de olika analystjänsterna? Vi har använt en design and creation strategi för att utveckla två Proof of Concept prototyper och samlat in data genom att använda flera datainsamlingsmetoder. Proof of Concept prototyperna inkluderade två artefakter, en för Azure Stream Analytics och en för HDInsight/Storm. Vi utvärderade dessa genom att utföra fem olika scenarier som var för sig hade 2-5 delmål. Vi simulerade strömmande data genom att låta en applikation kontinuerligt slumpa fram data som vi analyserade med hjälp av de två realtidsanalystjänsterna. Vi har använt oss av observationer för att dokumentera hur vi arbetade med utvecklingen av analystjänsterna samt för att mäta utvecklingstider och identifiera skillnader i funktionalitet. Vi har även använt oss av frågeformulär för att ta reda på vad användare tyckte om analystjänsterna. Vi kom fram till att Azure Stream Analytics initialt var mer användbart än HDInsight/Storm men att skillnaderna minskade efter hand. Azure Stream Analytics var lättare att arbeta med vid simplare analyser medan HDInsight/Storm hade ett bredare val av funktionalitet.

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Allt eftersom utvecklingen går framåt inom applikationer och system så förändras också sättet på vilket vi interagerar med systemet på. Hittills har navigering och användning av applikationer och system mestadels skett med händerna och då genom mus och tangentbord. På senare tid så har navigering via touch-skärmar och rösten blivit allt mer vanligt. Då man ska styra en applikation med hjälp av rösten är det viktigt att vem som helst kan styra applikationen, oavsett vilken dialekt man har. För att kunna se hur korrekt ett röstigenkännings-API (Application Programming Interface) uppfattar svenska dialekter så initierades denna studie med dokumentstudier om dialekters kännetecken och ljudkombinationer. Dessa kännetecken och ljudkombinationer låg till grund för de ord vi valt ut till att testa API:et med. Varje dialekt fick alltså ett ord uppbyggt för att vara extra svårt för API:et att uppfatta när det uttalades av just den aktuella dialekten. Därefter utvecklades en prototyp, närmare bestämt en android-applikation som fungerade som ett verktyg i datainsamlingen. Då arbetet innehåller en prototyp och en undersökning så valdes Design and Creation Research som forskningsstrategi med datainsamlingsmetoderna dokumentstudier och observationer för att få önskat resultat. Data samlades in via observationer med prototypen som hjälpmedel och med hjälp av dokumentstudier. Det empiriska data som registrerats via observationerna och med hjälp av applikationen påvisade att vissa dialekter var lättare för API:et att uppfatta korrekt. I vissa fall var resultaten väntade då vissa ord uppbyggda av ljudkombinationer i enlighet med teorin skulle uttalas väldigt speciellt av en viss dialekt. Ibland blev det väldigt låga resultat på just dessa ord men i andra fall förvånansvärt höga. Slutsatsen vi drog av detta var att de ord vi valt ut med en baktanke om att de skulle få låga resultat för den speciella dialekten endast visade sig stämma vid två tillfällen. Det var istället det ord innehållande sje- och tje-ljud som enligt teorin var gemensamma kännetecken för alla dialekter som fick lägst resultat överlag.

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OBJECTIVES: To develop a method for objective assessment of fine motor timing variability in Parkinson’s disease (PD) patients, using digital spiral data gathered by a touch screen device. BACKGROUND: A retrospective analysis was conducted on data from 105 subjects including65 patients with advanced PD (group A), 15 intermediate patients experiencing motor fluctuations (group I), 15 early stage patients (group S), and 10 healthy elderly subjects (HE) were examined. The subjects were asked to perform repeated upper limb motor tasks by tracing a pre-drawn Archimedes spiral as shown on the screen of the device. The spiral tracing test was performed using an ergonomic pen stylus, using dominant hand. The test was repeated three times per test occasion and the subjects were instructed to complete it within 10 seconds. Digital spiral data including stylus position (x-ycoordinates) and timestamps (milliseconds) were collected and used in subsequent analysis. The total number of observations with the test battery were as follows: Swedish group (n=10079), Italian I group (n=822), Italian S group (n = 811), and HE (n=299). METHODS: The raw spiral data were processed with three data processing methods. To quantify motor timing variability during spiral drawing tasks Approximate Entropy (APEN) method was applied on digitized spiral data. APEN is designed to capture the amount of irregularity or complexity in time series. APEN requires determination of two parameters, namely, the window size and similarity measure. In our work and after experimentation, window size was set to 4 and similarity measure to 0.2 (20% of the standard deviation of the time series). The final score obtained by APEN was normalized by total drawing completion time and used in subsequent analysis. The score generated by this method is hence on denoted APEN. In addition, two more methods were applied on digital spiral data and their scores were used in subsequent analysis. The first method was based on Digital Wavelet Transform and Principal Component Analysis and generated a score representing spiral drawing impairment. The score generated by this method is hence on denoted WAV. The second method was based on standard deviation of frequency filtered drawing velocity. The score generated by this method is hence on denoted SDDV. Linear mixed-effects (LME) models were used to evaluate mean differences of the spiral scores of the three methods across the four subject groups. Test-retest reliability of the three scores was assessed after taking mean of the three possible correlations (Spearman’s rank coefficients) between the three test trials. Internal consistency of the methods was assessed by calculating correlations between their scores. RESULTS: When comparing mean spiral scores between the four subject groups, the APEN scores were different between HE subjects and three patient groups (P=0.626 for S group with 9.9% mean value difference, P=0.089 for I group with 30.2%, and P=0.0019 for A group with 44.1%). However, there were no significant differences in mean scores of the other two methods, except for the WAV between the HE and A groups (P<0.001). WAV and SDDV were highly and significantly correlated to each other with a coefficient of 0.69. However, APEN was not correlated to neither WAV nor SDDV with coefficients of 0.11 and 0.12, respectively. Test-retest reliability coefficients of the three scores were as follows: APEN (0.9), WAV(0.83) and SD-DV (0.55). CONCLUSIONS: The results show that the digital spiral analysis-based objective APEN measure is able to significantly differentiate the healthy subjects from patients at advanced level. In contrast to the other two methods (WAV and SDDV) that are designed to quantify dyskinesias (over-medications), this method can be useful for characterizing Off symptoms in PD. The APEN was not correlated to none of the other two methods indicating that it measures a different construct of upper limb motor function in PD patients than WAV and SDDV. The APEN also had a better test-retest reliability indicating that it is more stable and consistent over time than WAV and SDDV.

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Wooden railway sleeper inspections in Sweden are currently performed manually by a human operator; such inspections are based on visual analysis. Machine vision based approach has been done to emulate the visual abilities of human operator to enable automation of the process. Through this process bad sleepers are identified, and a spot is marked on it with specific color (blue in the current case) on the rail so that the maintenance operators are able to identify the spot and replace the sleeper. The motive of this thesis is to help the operators to identify those sleepers which are marked by color (spots), using an “Intelligent Vehicle” which is capable of running on the track. Capturing video while running on the track and segmenting the object of interest (spot) through this vehicle; we can automate this work and minimize the human intuitions. The video acquisition process depends on camera position and source light to obtain fine brightness in acquisition, we have tested 4 different types of combinations (camera position and source light) here to record the video and test the validity of proposed method. A sequence of real time rail frames are extracted from these videos and further processing (depending upon the data acquisition process) is done to identify the spots. After identification of spot each frame is divided in to 9 regions to know the particular region where the spot lies to avoid overlapping with noise, and so on. The proposed method will generate the information regarding in which region the spot lies, based on nine regions in each frame. From the generated results we have made some classification regarding data collection techniques, efficiency, time and speed. In this report, extensive experiments using image sequences from particular camera are reported and the experiments were done using intelligent vehicle as well as test vehicle and the results shows that we have achieved 95% success in identifying the spots when we use video as it is, in other method were we can skip some frames in pre-processing to increase the speed of video but the segmentation results we reduced to 85% and the time was very less compared to previous one. This shows the validity of proposed method in identification of spots lying on wooden railway sleepers where we can compromise between time and efficiency to get the desired result.

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Transportation is seen as one of the major sources of CO2 pollutants nowadays. The impact of increased transport in retailing should not be underestimated. Most previous studies have focused on transportation and underlying trips, in general, while very few studies have addressed the specific affects that, for instance, intra-city shopping trips generate. Furthermore, most of the existing methods used to estimate emission are based on macro-data designed to generate national or regional inventory projections. There is a lack of studies using micro-data based methods that are able to distinguish between driver behaviour and the locational effects induced by shopping trips, which is an important precondition for energy efficient urban planning. The aim of this study is to implement a micro-data method to estimate and compare CO2 emission induced by intra-urban car travelling to a retail destination of durable goods (DG), and non-durable goods (NDG). We estimate the emissions from aspects of travel behaviour and store location. The study is conducted by means of a case study in the city of Borlänge, where GPS tracking data on intra-urban car travel is collected from 250 households. We find that a behavioural change during a trip towards a CO2 optimal travelling by car has the potential to decrease emission to 36% (DG), and to 25% (NDG) of the emissions induced by car-travelling shopping trips today. There is also a potential of reducing CO2 emissions induced by intra-urban shopping trips due to poor location by 54%, and if the consumer selected the closest of 8 existing stores, the CO2 emissions would be reduced by 37% of the current emission induced by NDG shopping trips.

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The objective of this study is to develop a Pollution Early Warning System (PEWS) for efficient management of water quality in oyster harvesting areas. To that end, this paper presents a web-enabled, user-friendly PEWS for managing water quality in oyster harvesting areas along Louisiana Gulf Coast, USA. The PEWS consists of (1) an Integrated Space-Ground Sensing System (ISGSS) gathering data for environmental factors influencing water quality, (2) an Artificial Neural Network (ANN) model for predicting the level of fecal coliform bacteria, and (3) a web-enabled, user-friendly Geographic Information System (GIS) platform for issuing water pollution advisories and managing oyster harvesting waters. The ISGSS (data acquisition system) collects near real-time environmental data from various sources, including NASA MODIS Terra and Aqua satellites and in-situ sensing stations managed by the USGS and the NOAA. The ANN model is developed using the ANN program in MATLAB Toolbox. The ANN model involves a total of 6 independent environmental variables, including rainfall, tide, wind, salinity, temperature, and weather type along with 8 different combinations of the independent variables. The ANN model is constructed and tested using environmental and bacteriological data collected monthly from 2001 – 2011 by Louisiana Molluscan Shellfish Program at seven oyster harvesting areas in Louisiana Coast, USA. The ANN model is capable of explaining about 76% of variation in fecal coliform levels for model training data and 44% for independent data. The web-based GIS platform is developed using ArcView GIS and ArcIMS. The web-based GIS system can be employed for mapping fecal coliform levels, predicted by the ANN model, and potential risks of norovirus outbreaks in oyster harvesting waters. The PEWS is able to inform decision-makers of potential risks of fecal pollution and virus outbreak on a daily basis, greatly reducing the risk of contaminated oysters to human health.

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O presente trabalho descreve o desenvolvimento de um equipamento de ensaios triaxiais, com aquisição automática de dados e controle automático de trajetórias de tensões, e resultados de ensaios utilizando este equipamento. Medidores locais de deformaçòes axial e radial foram utilizados viabilizando a análise do comportamento de solos a baixos níveis de deformações. O equipamento foi construído com componentes já existentes e elementos de baixo custo. Um programa de controle foi desenvolvido para controlar tanto trajetórias lineares de tensões como a trajetória de deformação radial nula. O sistema foi desenvolvido visando o estudo de solos tropicais cimentados, tendo sido utilizado na execução de ensaios triaxiais em um solo residual regional de arenito - arenito Botucatu. Os resultados evidenciam a adequabilidade do sistema construído ao estudo proposto tornando possível a determinação de importantes características de comportamento deste solo.

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A criação e popularização da Internet têm provocado sérias mudanças no campo da comunicação. Especificamente na comunicação científica, o uso do meio eletrônico permite agilizar as etapas do processo editorial, bem como facilitar a criação, disseminação, pesquisa e uso de informação científica. Entretanto, a incorporação de tecnologias é também desafiadora, pois exige diversas mudanças no modelo de gestão de periódicos científicos. Esse é composto basicamente por aspectos científicos (certificação de conteúdo visando a seleção e divulgação de conhecimento de qualidade), administrativos (produção editorial e gráfica, gestão administrativa e financeira, comunicação e marketing) e financeiros (modelo de rendimentos) que precisam estar alinhados para que o periódico possa cumprir seu objetivo. A presente pesquisa teve como principal objetivo analisar a gestão editorial de periódicos científicos da área de Administração no contexto brasileiro e propor uma tipologia de seus modelos de gestão. Adotou-se de uma abordagem qualitativa e foram utilizados métodos de pesquisa documental, entrevista e análise bibliométrica para, respectivamente, identificação do contexto, descrição dos modelos de gestão editorial e cálculo do impacto dos periódicos selecionados para o estudo (Revista de Administração de Empresas, Revista de Administração Contemporânea, Revista de Administração da USP, Organizações & Sociedade e Brazilian Administration Review). Identificou-se que os periódicos selecionados apresentam impacto (medido por meio de citações) relativamente alto quando comparados aos periódicos estrangeiros avaliados pelo Qualis da área de Administração, Contabilidade e Turismo. Percebe-se que o modelo de gestão dos periódicos está fortemente vinculado ao tipo de Instituição Mantenedora desse (Associação Científica, Instituição de Ensino Superior (IES) Pública, IES Privada), a qual influencia nas questões financeiras, administrativas e científicas das revistas. Espera-se que os resultados da pesquisa possam contribuir não só para os editores de revistas científicas, mas também para os responsáveis por decisões que se referem às políticas de avaliação e fomento de periódicos científicos no Brasil.

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This paper approaches the strategy in business management and aimed at identifying and outlining the interests and commitment of stakeholders in strategic resources management concerning production and implementation of wind turbine equipment of a Brazilian wind power company and also verifying if internal and external results deriving from such activities were sustainable, taking as main reference seminal publications and periodicals relevant to the research point that discuss the Resource Theory, Stakeholders and Sustainability. An analysis was carried out to assess how stakeholders, beyond the temporal context, intermediated the composition, development and management of the organization´s resources, as well as the social, environmental and economic results obtained from resources management in the production and supply of wind turbines to a Wind Power Plant located in the State of Ceara, in order to portray that Brazil sustainability can be an important competitive advantage source that creates value for shareholders and the community (Hart & Milstein, 2003). The strategy herein applied was the qualitative investigation using a single study case, which allowed for the thorough examination of an active organization operating in the Brazilian industry of wind power and also the resources used in the production and implementation of wind turbines supplied to the a Wind Power Plant in Ceara. Considering the content analysis and the triangulation principle, three qualitative data collection methods were applied to identify and characterize stakeholders’ interest and commitment in resource management of the organization operating in the Brazilian wind power industry, as follows, semistructured deep interview with managers of tactic-strategic level and analysts of organization´s value chain nine activities, analysis of public internal and external documents; and analysis of audio-visual material. Nonetheless, to identify the internal and external economic, social and environmental results of implementation and supply of wind turbines to the Wind Power Plant in Ceara, semistructured interviews were also carried out with the residents of the region. Results showed the BNDES (Brazilian Development Bank) and the organization head office were the stakeholders who exerted the strongest influence on resources related to production and implementation of the aerogenerator product at Trairi Wind Plant in Ceara. Concerning the organization resources, at the current stage of the Brazilian Wind Industry ,although the brand, reliability and reputation of the organization under study were valuable esources, rare, hard to imitate and exploited by the organization, it was noticed that opposed to RBV, they did not actually represent a source of competitive advantage . For the local community the social, economic and environmental results related to the wind turbines implementation were more positive than negative, despite the fact that the productive process caused negative environmental impacts such as the high emission of CO2 to transport wind turbines components to Trairi Wind Power Plant.

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ARAUJO, Márcio V. ; ALSINA, Pablo J. ; MEDEIROS, Adelardo A. D. ; PEREIRA, Jonathan P.P. ; DOMINGOS, Elber C. ; ARAÚJO, Fábio M.U. ; SILVA, Jáder S. . Development of an Active Orthosis Prototype for Lower Limbs. In: INTERNATIONAL CONGRESS OF MECHANICAL ENGINEERING, 20., 2009, Gramado, RS. Proceedings… Gramado, RS: [s. n.], 2009

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The use of infrared burners in industrial applications has many advantages in terms of technical-operational, for example, uniformity in the heat supply in the form of radiation and convection, with greater control of emissions due to the passage of exhaust gases through a macro-porous ceramic bed. This paper presents an infrared burner commercial, which was adapted an experimental ejector, capable of promoting a mixture of liquefied petroleum gas (LPG) and glycerin. By varying the percentage of dual-fuel, it was evaluated the performance of the infrared burner by performing an energy balance and atmospheric emissions. It was introduced a temperature controller with thermocouple modulating two-stage (low heat / high heat), using solenoid valves for each fuel. The infrared burner has been tested and tests by varying the amount of glycerin inserted by a gravity feed system. The method of thermodynamic analysis to estimate the load was used an aluminum plate located at the exit of combustion gases and the distribution of temperatures measured by a data acquisition system which recorded real-time measurements of the thermocouples attached. The burner had a stable combustion at levels of 15, 20 and 25% of adding glycerin in mass ratio of LPG gas, increasing the supply of heat to the plate. According to data obtained showed that there was an improvement in the efficiency of the 1st Law of infrared burner with increasing addition of glycerin. The emission levels of greenhouse gases produced by combustion (CO, NOx, SO2 and HC) met the environmental limits set by resolution No. 382/2006 of CONAMA