5 resultados para Micro-Tom

em Dalarna University College Electronic Archive


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Detta examensarbete går ut på att ta fram en applikation, avsedd för mobiltelefoner, där man på ett enkelt sätt kan få reda på avgångarna för Dalarnas kollektivtrafik. Det stigande bensinpriset och bilåkningens negativa miljöpåverkan ligger som grund till att Etex AB och Balanz AB vill undersöka om det går att få människor att välja bussen framför personbilen. Om man genom denna applikation kan underlätta planeringen av människors dagliga resor, hur påverkas då valet av fortskaffningsmedel?Resultatet blev en applikation där man, via sin mobiltelefon, bland annat kan ta reda på avgångar för utvalda linjer av Dalatrafiks bussar, hantera linjekartor och synkronisera avgångar med telefonens kalender. Alla tidtabeller sparas i telefonen för att minska nätverkstrafiken och för att informationen enkelt ska kunna återanvändas.Dalatrafik är det företag som ansvarar för kollektivtrafiken i Dalarna. Det finns i dagsläget ingen möjlighet att få reda på avgångarna för deras bussar om man inte har tillgång till en tidtabell eller ringer till deras kundservice. Vissa kommuner har redan lösningar för tidtabellshantering i mobiltelefonen och nu vill Etex AB och Balanz AB, som är två företag som bl.a. arbetar med trådlösa applikationer, att även Dalarna ska få ta del av detta praktiska hjälpmedel.De flesta mobiltelefoner som säljs idag har stöd för att köra applikationer, eller MIDlets som de också kallas, gjorda i J2ME (Java 2 Platform, Micro Edition). Denna teknik har tagits fram av Sun för att göra applikationer som kan köras på mindre mobila enheter såsom mobiltelefoner och handdatorer. Kombinerar man J2ME med den ökande prestandan i dagens mobiltelefoner kan avancerade applikationer t.ex. spel med 3D-grafik, webbläsare och andra nyttiga program tillverkas.

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A one year data analysis for a micro PV-Wind hybrid system (0.52 kW + 1 kW), installed in Borlänge/Sweden is presented in this paper. The system performance was evaluated according the guidelines of the IEC 61724 standard. The parameters obtained allow a comparison with similar systems. The measurement data are also used to evaluate the sizing and operation of the hybrid system. In addition, the system was modelled in HOMER to study sizing options.

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In April 2011 a monitoring system was installed to enable studies of the performance and the usage of a micro PV-Diesel Hybrid system at the Ihushi Development Center (IDC) near Mwanza in Tanzania. Estimations of the load have been obtained by a survey of installed appliances and interviews with users of installed equipment. The load profile obtained by measurements has been analyzed and compared to estimations of the energy use. Further, the system size and performance were studied.

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Background: In recent studies a lot of attention is drawn to the connection between networking and entrepreneurship. Many scholars consider successful business and networking inseparable. Taking into consideration the topicality of the two notions discussed above the authors of this thesis decided to conduct the research dedicated to these phenomena in the field that interests them most – in the field of Swedish fashion. Purpose: The purpose of the thesis is to gain a deeper insight into entrepreneur’s experiences to point out the role of entrepreneurial networking in the process of internationalization of a micro-sized Swedish fashion company and to contribute to the research in this field by telling its unique story. Method: To achieve the purpose of the research a narrative ethnographic research was conducted. This research strategy was chosen because it suits the purpose best by giving an opportunity to get fresh insights into the field of entrepreneurial networking from the point of view of the entrepreneur. The data collected has a narrative nature therefore narrative analysis is used to present it. The methods of gathering the data are face-to-face interview and documents. Conclusion: we can define the most important role of entrepreneurial networking on the internationalization process of Odeur as an effective accelerator and a tool to fulfil the knowledge and expertise gaps in certain areas through other actors in the network.

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Background: Genetic variation for environmental sensitivity indicates that animals are genetically different in their response to environmental factors. Environmental factors are either identifiable (e.g. temperature) and called macro-environmental or unknown and called micro-environmental. The objectives of this study were to develop a statistical method to estimate genetic parameters for macro- and micro-environmental sensitivities simultaneously, to investigate bias and precision of resulting estimates of genetic parameters and to develop and evaluate use of Akaike’s information criterion using h-likelihood to select the best fitting model. Methods: We assumed that genetic variation in macro- and micro-environmental sensitivities is expressed as genetic variance in the slope of a linear reaction norm and environmental variance, respectively. A reaction norm model to estimate genetic variance for macro-environmental sensitivity was combined with a structural model for residual variance to estimate genetic variance for micro-environmental sensitivity using a double hierarchical generalized linear model in ASReml. Akaike’s information criterion was constructed as model selection criterion using approximated h-likelihood. Populations of sires with large half-sib offspring groups were simulated to investigate bias and precision of estimated genetic parameters. Results: Designs with 100 sires, each with at least 100 offspring, are required to have standard deviations of estimated variances lower than 50% of the true value. When the number of offspring increased, standard deviations of estimates across replicates decreased substantially, especially for genetic variances of macro- and micro-environmental sensitivities. Standard deviations of estimated genetic correlations across replicates were quite large (between 0.1 and 0.4), especially when sires had few offspring. Practically, no bias was observed for estimates of any of the parameters. Using Akaike’s information criterion the true genetic model was selected as the best statistical model in at least 90% of 100 replicates when the number of offspring per sire was 100. Application of the model to lactation milk yield in dairy cattle showed that genetic variance for micro- and macro-environmental sensitivities existed. Conclusion: The algorithm and model selection criterion presented here can contribute to better understand genetic control of macro- and micro-environmental sensitivities. Designs or datasets should have at least 100 sires each with 100 offspring.