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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
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Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
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Showing 231 to 233 of 233 (0.025 seconds)Spelling suggestions: "subject:"baskin"" "subject:"daskin""
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Ranking System for IoT Industry PlatformMukherjee, Somshree January 2016 (has links)
The Internet of Things (IoT) has seen a huge growth spurt in the last few years which has resulted in the need for more standardised IoT technology. Because of this, numerous IoT platforms have sprung up that offer a variety of features and use different technologies which may not necessarily be compliant with each other or with other technologies. Companies that wish to enter theIoT market are in constant need to find the most suitable IoT platform for their business and have a certain set of requirements that need to be fulfilled by the IoT platforms in order for the application to be fully functional. The problem that this thesis project is trying to address is a standardised procedure for selecting the IoT platforms. The project aims to suggest a list of requirements derived from the available IoT architecture models, that must be followed by IoT applications in general, and a subset of these requirements may be specified by the companies as essentials for their application. This thesis project also aims at development of a Web platform to automate this process, by listing the requirements on this website and allowing companies to input their choices,and accordingly show them the list of IoT platforms that comply with their input requirements. A simple Weighted Sum Model is used to rank the search result in order to prioritise the IoT platforms in order of the features that they provide. This thesis project also infers the best IoT architectural model available based on a comparative study of three major IoT architectures with respect to the requirements proposed. Hence the project concludes that this Web platform will ease the process of searching for the right IoT platform andthe companies can therefore make an informed decision about the kind of IoT platform that they should use, thereby reducing their time spent on market research and hence their time-to-market.
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BRUKSANVISNING TILL DRIFT OCH UNDERHÅLL AV EN EMBALLERINGSMASKIN VID SCA / User manual for operation and maintenance of packaging machine at SCAKotikawatte, Yoheena January 2021 (has links)
Materialet i rapporten är 10% av det totala materialet som presenterats till SCA, de viktigaste resultaten redovisas i rapporten. Vid SCA:s sågverk Rundvik i Nordmaling finns en automatiserad emballeringsmaskin. Ingen bra anvisning för bruk/drift och underhåll för maskinen finns, vilket har gjort det svårt för personalen att hantera den. Syftet med detta arbete var att kartlägga maskinens delar, funktioner och därefter framta en bruksanvisning. Detta gjordes genom att först kartlägga placeringen av maskinens axlar samt dess funktioner. Därefter intervjuades personalen på hyvleriet för att reda ut svårigheter och problem med maskinen. En problemlösning som löser de mest förekommande felen har framställts. En underhållsplan har tagits fram för att underlätta underhåll av maskinen. En offert på en programuppdatering har skickats till maskinprogrammerare. En offert gällande en säkerhetsanordning till maskinen har skickats till maskintillverkare. Resultatet är en fullt användbar, enkelt läsbar bruksanvisning. Syftet har inte fullföljts helt då operatör inte hunnit testa instruktionerna. / The material in the report is 10% of the total material presented to SCA, the most important results are reported here. At SCA's sawmill Rundvik in Nordmaling, there is an automated packaging machine. There is no good user manual for use/operation and maintenance of the machine, which has made it difficult for the staff to handle it. The purpose of this work has been to map the machine's parts, functions and then produce a user manual. This was done by first mapping the location of the machine's axles and its functions. The staff at the planer were then interviewed to sort out difficulties and problems with the machine. A problem solution that solves the most common errors has been produced. A maintenance plan has been developed to facilitate maintenance of the machine. A quote for a software update has been sent to the machine programmer. A quote regarding a safety device for the machine has been sent to the machine manufacturer. The result is a fully usable, easy-to-read user manual. The purpose has not been fully fulfilled as the operator has not had time to test the instructions.
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Dynamic Speed Adaptation for Curves using Machine Learning / Dynamisk hastighetsanpassning för kurvor med maskininlärningNarmack, Kirilll January 2018 (has links)
The vehicles of tomorrow will be more sophisticated, intelligent and safe than the vehicles of today. The future is leaning towards fully autonomous vehicles. This degree project provides a data driven solution for a speed adaptation system that can be used to compute a vehicle speed for curves, suitable for the underlying driving style of the driver, road properties and weather conditions. A speed adaptation system for curves aims to compute a vehicle speed suitable for curves that can be used in Advanced Driver Assistance Systems (ADAS) or in Autonomous Driving (AD) applications. This degree project was carried out at Volvo Car Corporation. Literature in the field of speed adaptation systems and factors affecting the vehicle speed in curves was reviewed. Naturalistic driving data was both collected by driving and extracted from Volvo's data base and further processed. A novel speed adaptation system for curves was invented, implemented and evaluated. This speed adaptation system is able to compute a vehicle speed suitable for the underlying driving style of the driver, road properties and weather conditions. Two different artificial neural networks and two mathematical models were used to compute the desired vehicle speed in curves. These methods were compared and evaluated. / Morgondagens fordon kommer att vara mer sofistikerade, intelligenta och säkra än dagens fordon. Framtiden lutar mot fullständigt autonoma fordon. Detta examensarbete tillhandahåller en datadriven lösning för ett hastighetsanpassningssystem som kan beräkna ett fordons hastighet i kurvor som är lämpligt för förarens körstil, vägens egenskaper och rådande väder. Ett hastighetsanpassningssystem för kurvor har som mål att beräkna en fordonshastighet för kurvor som kan användas i Advanced Driver Assistance Systems (ADAS) eller Autonomous Driving (AD) applikationer. Detta examensarbete utfördes på Volvo Car Corporation. Litteratur kring hastighetsanpassningssystem samt faktorer som påverkar ett fordons hastighet i kurvor studerades. Naturalistisk bilkörningsdata samlades genom att köra bil samt extraherades från Volvos databas och bearbetades. Ett nytt hastighetsanpassningssystem uppfanns, implementerades samt utvärderades. Hastighetsanpassningssystemet visade sig vara kapabelt till att beräkna en lämplig fordonshastighet för förarens körstil under rådande väderförhållanden och vägens egenskaper. Två olika artificiella neuronnätverk samt två matematiska modeller användes för att beräkna fordonets hastighet. Dessa metoder jämfördes och utvärderades.
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