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Upcoming Events

  • Amir Valibeygi, MASc Thesis Defense, Mechatronics
    10:00 AM - 12:30 PM
    July 30, 2015
    MASc Thesis Defense - Amir Valibeygi When: Thursday, July 30th @ 10am Where: SUR 2750 Examining Committee: Dr. Krishna Vijayaraghavan (Senior Supervisor), Dr. Siamak Arzanpour (Supervisor), Dr. Mehrdad Moallem, Dr. Jason Wang (Chair) Title: Optimal nonlinear adaptive observers for state, parameter and fault estimation Abstract The demand for reliable, fast and robust techniques for detection and estimation of faults in real-world systems is constantly increasing. A nonlinear adaptive observer for state, parameter and fault estimation is developed in this work using an optimal approach. This observer is capable of estimating unknown parameters as well as sensor faults in the system. The proposed observer also accounts for existing noise and disturbance in the system. By defining appropriate cost functions for each problem, the observer is made to satisfy a performance bound. A systematic method of checking existence conditions and calculating observer gains in terms of LMIs is presented. Types of nonlinearities considered are fairly general and encompass Lipschitz and dissipative nonlinearities. The observer can identify time-varying unknown parameters, bias and gain sensor faults. Compared with the method of extended Kalman filter, the proposed observer is not computationally intensive and in its relaxed form, does not require online solution to the Ricatti equation. The observer is applied to some state space models including a wind turbine mechanical power transmission mechanism. The results are compared with the results obtained from extended Kalman filtering and show satisfactory performance in the existence of noise and disturbances. Keywords : Nonlinear adaptive observer; state and parameter estimation; fault detection; optimal state estimation, wind turbine
  • Hedayat Zarkoob, MSc Thesis Defence, Computing Science
    10:00 AM - 12:00 PM
    August 4, 2015
    M.SC. THESIS DEFENCE Hedayat Zarkoob B.Sc., Isfahan University of Technology, 2013, Iran Tuesday, August 4 th , 2015 10:00 a.m. TASC1 9204 West Title OPTIMIZING ONE-WAY CAR SHARING SYSTEMS Abstract In one-way car sharing systems picking up and returning the rental cars can be done at different stations. In these systems, since the customer demand is asymmetric, operators need to hire some staff to manually relocate the cars between stations to keep the system balanced. In this thesis, we address the problem of designing optimal relocation strategies for the one-way car sharing operators both in deterministic and stochastic settings. For the deterministic case, we give a minimum cost network flow formulation. To model the stochastic one, we use stochastic dynamic programming. Our theoretical results show that the exact optimal policy to relocate the cars in a two-station case is a threshold type policy. Based on this result, a heuristic algorithm is proposed to handle the m-station case. Our heuristic significantly decreases the computational complexity of the problem. Key words: One-way car sharing systems; Mathematical programming; Threshold type optimal policy. M.Sc. Examining Committee: Dr. Andrei Bulatov, Senior Supervisor Dr. Ramesh Krishnamurti, Supervisor Dr. Tim Huh, UBC, Supervisor Dr. Qianping Gu, Examiner Dr. Binay Bhattacharya, Chair
  • Samantha Bates, MA Thesis Defence, Criminology
    11:00 AM - 2:00 PM
    August 4, 2015
    Senior Supervisor: Dr. Brian Burtch Thesis Title: "Stripped": An Analysis of Revenge Porn Victims' Lives after Victimization Abstract: This study examines the experiences of 18 female revenge porn victims. To date, no other academic studies have exclusively focused on experiences of victimization in revenge porn cases. Researchers have focused on legal and moral aspects of revenge porn rather than on victims’ experiences. In-depth qualitative interviews were conducted between February 2014 and January 2015 with revenge porn victims to understand how they experienced victimization and its effects on their lives. Inductive analysis revealed seven main themes among the interviews: (1) emotional effects of revenge porn, (2) coping mechanisms, (3) relationships, (4) dealing with the law, (5) revenge porn as a gendered crime, (6) employment, and (7) intimate partner violence. The findings underscore the need for new policies and laws that would afford protection to revenge porn victims and the need for in-depth research on revenge porn victimology. Keywords : Revenge porn; feminism; cyberbullying; sexual harassment; sexual assault; qualitative research Location: Faculty Conference Room, SWH 10121
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