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Upcoming Events

  • Mohammad Mehdi Naserimojarad, MASc Thesis Defense
    10:00 AM - 12:00 PM
    July 9, 2015
    MASc Thesis Defense - Mohammad Mehdi Naserimojarad When: Thursday, July 9th, 10am Where: Surrey Campus, Rm. 2750 Examining Committee: Dr. Mehrdad Moallem (Senior Supervisor), Dr. Siamak Arzanpour (Supervisor), Dr. Shahram Payandeh (Internal Examiner), Dr. Woo Soo Kim (Defense Chair) Abstract Innovative Design of Low-Power Light-Weight MagnetoRheological Dampers MagnetoRheological (MR) dampers are controllable shock absorption devices that are vastly used in vibration and motion control applications. MR dampers can provide an adjustable damping constant that can be used to generate controlled damping force for vibration and shocks control. In this research different methods of reducing the weight and power consumption of MR dampers are investigated. First, optimal design of MR dampers using a Genetic Algorithm is presented. Next design of novel magnetic circuits and damper mechanisms for reducing the weight and power consumption is investigated and a new low-power, low-weight mechanism is proposed. Experimental results for the proposed MR damper are further presented and compared with the results obtained from a conventional MR damper. Keywords: Magnetorheological Fluid, Magnetorheological Damper, Vibration Control, Smart Materials
  • Yanfang Le, MSc Thesis Defence, Computing Science
    10:30 AM - 12:00 PM
    July 10, 2015
    M.SC. THESIS DEFENCE Yanfang Le B.Eng., Zhejiang University, China, 2011 Friday, July 10 th , 2015 10:30 a.m. ASB 9896 Title DATACENTER-NETWORK-AWARE ONLINE LOAD BALANCING IN MAPREDUCE Abstract MapReduce has emerged as a powerful tool for processing of voluminous data. Different from earlier heuristics after seeing all the data, we address the skew with online fashion. We show that the optimal load balancing strategy is a constrained version of online minimum makespan and, in the MapReduce context where pairs with identical keys must be scheduled to the same machine, we propose an online algorithm with a 2-competitive ratio. We further suggest a sample-based enhancement, which achieves a 3/2-competitive ratio with a bounded error. We then find that the datacenter network could potentially lead to a poor overall performance even with a balanced workload. Earlier studies either assume the network inside a datacenter is of negligible delay and infinite capacity, or use a hop count as the network cost measurement. We consider the realistic bandwidth constraints and proposed an effective solution toward near optimal datacenter-network-aware load balancing. M.Sc. Examining Committee: Dr. Jiangchuan Liu, Senior Supervisor Dr. Funda Ergun, Supervisor Dr. Jian Pei, Supervisor Dr. Nick Sumner, Examiner Dr. Petra Berenbrink, Chair
  • Naoko Takei PhD Thesis Examination, Education
    2:00 PM - 5:00 PM
    July 10, 2015
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Academic Relationships Across Cultures
Free professional development sessions for faculty & staff and graduate students coming up on Monday, June 22!