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Sensor Calibration With Household Items |
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This project proposes to develop and investigate methods that allow for simple, repeatable calibration of smartphone sensors using elementary physics and household items. A method should thus require little or no special hardware, apart from what is typically available on/in one's desk, drawers, and kitchen provide intrinsic (or readily procurable) means for comparison measurements, be repeatable easily so that multiple measurements can be taken, facilitating variations of parameters or devices, and statistical analysis of the results. Needless to say, the device under test should not be damaged by an experiment. Potential experiment techniques include Swings, pendulums with controllable physical dimensions (and thus oscillation periods), Springs ,Free fall, throwing; sliding on inclined planes, Rolling (e.g. inside of a can), Comparison measurements with one device attached to another. More notes: https://github.com/SensibilityTestbed/sensibility-testbed/issues/33 |
| If you're interested, please contact Albert Rafetseder (albert.rafetseder@univie.ac.at) |
Fuzz The OLSR2 Routing Daemon |
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The Optimized Link State Routing protocol version 2 (OLSR2, RFC 7188) is a routing protocol for wireless mesh networks. Your task is to automate tests against OLSR2 that try its functionality and check its correct functioning for a variety of valid and invalid inputs, both from the network and from local configuration. Vectors include the syntax and semantics of OLSR2's RFC 5444-encoded messages, but also any config files that the deamon uses, or the operating system's routing tables (see e.g. Routing Tables of Death). Since OLSR2 aims to run on low-power embedded hardware platforms such as WiFi routers, DoS scenarios (memory / CPU / storage exhaustion) are in scope as well. Additionally, glitches should be analysed for their effect on a practical mesh network of ~10 devices. |
| If you're interested, please contact Albert Rafetseder (albert.rafetseder@univie.ac.at) |
A Configurable Études Generator |
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| Études are musical pieces designed as practice materials for perfecting particular musical skills (Wikipedia). The skills to be perfected can differ (in difficulty and category) from étude to étude, and are different between instruments, players, and also dimensions of musical content (melody, harmony, rhythm). Develop a sufficiently generic, configurable generator for études that outputs études of choosable difficulty. For this, define a system that encodes the difficulty of a task to be studied, and transformations that assess the difficulty of combinations of study tasks appropriately. |
| If you're interested, please contact Albert Rafetseder (albert.rafetseder@univie.ac.at) |
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