60 research outputs found

    Restriction endonuclease fragment analysis of mitochondrial DNA from male fertile and cytoplasmic male sterile alfalfa (Medicago sativa L.)

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    Call number: LD2668 .T4 1986 G37Master of ScienceGenetics Interdepartmental Progra

    An investigation into the power of three tests used to compare survival distributions

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    LD2668 .R4 STAT 1987 G37Master of ScienceStatistic

    Multi-sensor wireless sensor network nodes for alpine environment monitoring

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    The Pizol Glacier is the first glacier in Switzerland to be declared dead in 2019 and it will not be the last if global warming continues to this extent. Because glaciers and permafrost are melting, our mountains are becoming more and more unstable. In the coming years it is expected that dangerous rockfalls will increase in size and quantity and that they will also occur in previously safe areas. At the same time, leisure activities such as hiking and mountain biking are becoming popular and more and more people are living in endangered places. In order to better anticipate the effects of these changes and to be able to warn people, it has become very important to understand the movements and activities of our mountains. Despite recent efforts in deploying low-cost geophone sensors to accurately track these changes the sensor capabilities are still quite limited. To resolve these limitations, we have introduced more geophones and sensors in the latest version. These new sensors allow us to capture more and new data and enable new capabilities such as monitoring of slow changes or determining the exact position. However, the platform is in the middle of development as it still lacks essential features such as reliable error handling and robust scheduling. To achieve this, we perform a thorough analysis on the entire code base and extend the new scheduler, debugging and logging features. To place the platform even in hard-to-reach locations we have to make sure the communication works in both directions so that we can remotely change the configurations and the sensor data are stored in the backend. Through detailed power measurements and intensive testing of the complete system and all subsystems we verify the correctness. This way we make the system more robust and fail-safe. We demonstrate that if the task scheduler is improved as well as extended and the new sensor data is handled correctly, the new platform will be deployment- ready and ready for real-world testing in the coming months
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