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Aircraft modeling and simulation has become increasingly important in the aviation world. Simulations allow for safer and more economical training prior to flight testing. In this project, a three degree-of-freedom control simulation coded in a MATLAB environment is used to assess and simulate the dynamic stability of group three unmanned aircraft system. By calculating, evaluating, and simulating the static and dynamic stability derivatives of the aircraft, this project will allow for the estimation of the handling qualities of an unmanned aircraft system. This can help mitigate risks that come along with altering the mass and aerodynamic properties of an aircraft, therefore creating a safer environment for flight testing.

A method using a Fourier series is demonstrated to optimize an LED array for local dimming applications in liquid crystal display backlighting. The same optimization method is also suitable for LED displays in which the Moiré effect must be suppressed during photography with a minimum loss of spatial resolution. Initially, the angular intensity profile of a Lambertian LED is modelled when backlighting a Lambertian rear projection screen and compared to experimental data. An array of optimized LEDs and the resulting screen intensity pattern is then derived such that an intensity distribution with an intensity deviation of less than 2% is achieved. The angular intensity profile of the LED is modified using adjustable Fourier coefficients optimized according to an algorithm. The algorithm is designed to achieve an illuminated screen area of maximum size for a bounded LED backlight array to appear uniform in intensity to an observer. This Fourier series approach provides an elegant method to optimize the intensity profile of LED backlight arrays without the use of ray tracing. A lens was designed in order to provide this optimized intensity profile as well as created and tested. / Thesis / Master of Science (MSc)

Die vorliegende Arbeit beschreibt die Entwicklung zweier interaktiver Apps mithilfe Matlab App Designer. Die Apps „Die verteilte Drehstromwicklung 1.0“ und „Die Stromortskurve 1.0“ beschreiben wichtige Aspekte des Aufbaus und der Funktionsweise der Drehstrommaschinen. In der jeweiligen Bedienoberfläche kann der Anwendende mithilfe von Schaltern, Drehknöpfen und Checkboxen Einstellungen vornehmen. Daraufhin findet im Quellcode im Hintergrund ein komplexes Berechnungsverfahren statt und infolge werden grafische Darstellungen in der Oberfläche ausgegeben. Diese beschreiben komplexe physikalische Ereignisse in der Maschine entsprechend der eingestellten Parameter. Die Apps wurden für den Einsatz in der Lehre entwickelt. Das Ziel der Apps ist es, den Anwendenden durch eine interaktive Lernoberfläche die komplexe Funktionsweise der Maschine zu veranschaulichen. Theoretische Lerninhalte können mit ihnen visualisiert und besser verstanden werden. Die Apps sind intuitiv aufgebaut und einfach zu bedienen.:1. Einleitung 2. Die verteilte Drehstromwicklung 1.0 2.1 Die Oberfläche der App 2.2 Die Funktionsweise der App 2.3 Interpretation der Ergebnisse 3. Die Stromortskurve 1.0 3.1 Die Stromortskurve der Drehstromasynchronmaschine 3.1.1 Die Oberfläche der App 3.1.2 Die Funktionsweise der App 3.1.3 Interpretation der Ergebnisse 3.2 Die Stromortskurve der Drehstromsynchronmaschine 3.2.1 Die Oberfläche der App 3.2.2 Die Funktionsweise der App 3.2.3 Interpretation der Ergebnisse 4. Zusammenfassung 5. Anhang

The Virginia Tech Transportation Institute is recognized for being a pioneer in naturalistic driving studies. These studies determine driving behavior, and its correlation to safety critical events, by equipping participant's vehicles with data acquisition systems and recording them for a period of time. The driver's habits and responses to certain scenarios and events are analyzed to determine trends and opportunities to improve overall driver safety. One of these studies installed strain gauges on the front and rear brake levers of motorcycles to record the frequency and magnitude of brake presses. The recorded data was sampled at 10 hertz and had a significant amount of noise introduced from temperature and electromagnetic interference. This thesis proposes a peak detection algorithm, written in MATLAB, that can parallel process the 40,000 trips recorded in this naturalistic driving study. This algorithm uses an iterative LOWESS regression to eliminate the offset from zero when the strain gauge is not stressed, as well as a cumulative sum and statistical concepts to separate brake activations from the rest of the noisy signal. This algorithm was verified by comparing its brake activation detection to brake activations that were manually identified through video reduction. The algorithm had difficulty in accurately identifying activations in files where the amplitude of the noise was close to the amplitude of the brake activations, but this only described 2% of the sampled data. For the rest of the files, the peak detection algorithm had an accuracy of over 90%. / Master of Science