Now showing items 920-939 of 1897

    • Language Evolution to Reduce Code Cloning 

      Novakovic, Marko (University of Waterloo, 2013-01-25)
      Domain-specific languages can significantly speed up the development of software applications. However, it usually takes a few iterations of the language design before it achieves such power. At the same time, many domains ...
    • Large-Scale Demand Management in Smart Grid 

      Elghitani, Fadi (University of Waterloo, 2018-04-24)
      Future energy grids are expected to rely extensively on controlling consumers' demands to achieve an efficient system operation. The demand-side of the power network is usually constituted of a large number of low power ...
    • Large-scale Solar PV Investment Planning Studies 

      Muneer, Wajid (University of Waterloo, 2011-04-14)
      In the pursuit of a cleaner and sustainable environment, solar photovoltaic (PV) power has been established as the fastest growing alternative energy source in the world. This extremely fast growth is brought about, mainly, ...
    • Large-Scale Traffic Flow Prediction Using Deep Learning in the Context of Smart Mobility 

      Koesdwiady, Arief (University of Waterloo, 2018-04-24)
      Designing and developing a new generation of cities around the world (termed as smart cities) is fast becoming one of the ultimate solutions to overcome cities' problems such as population growth, pollution, energy crisis, ...
    • Laser annealing irradiated silicon single-photon avalanche photodiodes for quantum satellite receiver 

      Lim, Jin Gyu (University of Waterloo, 2018-05-11)
      Single-photon avalanche photodiodes (SPADs) are a practical option for space-based quantum communications requiring single-photon detection. However, radiation damage to SPADs significantly increases their dark count rates ...
    • Lattice Engineering with Surface Acoustic Waves 

      Powlowski, Mats Sahlman (University of Waterloo, 2018-09-05)
      Quantum simulators are special purpose quantum computers designed to examine problems that are impossible to test with classical computers. They can be used to simulate problems in atomic physics, condensed matter physics, ...
    • Lattice-Based Motion Planning with Optimal Motion Primitives 

      Botros, Alexander (University of Waterloo, 2021-12-23)
      In the field of navigation for autonomous vehicles, it is the responsibility of a local planner to compute reference trajectories that are then be followed by a tracking controller. These trajectories should be safe, ...
    • Lattice-Based Precoding And Decoding in MIMO Fading Systems 

      Taherzadeh, Mahmoud (University of Waterloo, 2008-04-30)
      In this thesis, different aspects of lattice-based precoding and decoding for the transmission of digital and analog data over MIMO fading channels are investigated: 1) Lattice-based precoding in MIMO broadcast systems: A ...
    • Layered Adaptive Modulation and Coding For 4G Wireless Networks 

      Wei, Zhenhuan (University of Waterloo, 2011-01-21)
      Emerging 4G standards, such as WiMAX and LTE have adopted the proven technique of Adaptive Modulation and Coding (AMC) to dynamically react to channel fluctuations while maintaining bit-error rate targets of the transmission. ...
    • Leakage Power Modeling and Reduction Techniques for Field Programmable Gate Arrays 

      Kumar, Akhilesh (University of Waterloo, 2006)
      FPGAs have become quite popular for implementing digital circuits and systems because of reduced costs and fast design cycles. This has led to increased complexity of FPGAs, and with technology scaling, many new ...
    • Learning a Motion Policy to Navigate Environments with Structured Uncertainty 

      Tsang, Florence (University of Waterloo, 2020-01-24)
      Navigating in uncertain environments is a fundamental ability that robots must have in many applications such as moving goods in a warehouse or transporting materials in a hospital. While much work has been done on navigation ...
    • Learning Inverse Dynamics for Robot Manipulator Control 

      Sun de la Cruz, Joseph (University of Waterloo, 2011-09-30)
      Model-based control strategies for robot manipulators can present numerous performance advantages when an accurate model of the system dynamics is available. In practice, obtaining such a model is a challenging task which ...
    • Learning to Engage: An Application of Deep Reinforcement Learning in Living Architecture Systems 

      Meng, Lingheng (University of Waterloo, 2023-05-30)
      Physical agents that can autonomously generate engaging, life-like behavior will lead to more responsive and interesting robots and other autonomous systems. Although many advances have been made for one-to-one interactions ...
    • Least-Privilege Identity-Based Policies for Lambda Functions in Amazon Web Services (AWS) 

      Gill, Puneet (University of Waterloo, 2020-12-21)
      We address least-privilege in a particular context of public cloud computing: identity-based policies for callback functions, called Lambda functions, in serverless applications of the Amazon Web Services (AWS) cloud ...
    • Leveraging Cognitive Radio Networks Using Heterogeneous Wireless Channels 

      Liu, Yongkang (University of Waterloo, 2013-08-28)
      The popularity of ubiquitous Internet services has spurred the fast growth of wireless communications by launching data hungry multimedia applications to mobile devices. Powered by spectrum agile cognitive radios, the newly ...
    • Leveraging Machine Learning to Improve Software Reliability 

      Wang, Song (University of Waterloo, 2019-01-09)
      Finding software faults is a critical task during the lifecycle of a software system. While traditional software quality control practices such as statistical defect prediction, static bug detection, regression test, and ...
    • Leveraging RRAM to Design Efficient Digital Circuits and Systems for Beyond Von Neumann in-Memory Computing 

      Yang, Zongxian (University of Waterloo, 2019-08-22)
      Due to the physical separation of their processing elements and storage units, contemporary digital computers are confronted with the thorny memory-wall problem. The strategy of in-memory computing has been considered as ...
    • LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection 

      Pitropov, Matthew (University of Waterloo, 2022-02-09)
      The estimation of uncertainty in robotic vision, such as 3D object detection, is an essential component in developing safe autonomous systems aware of their own performance. However, the deployment of current uncertainty ...
    • Light-weight verification of cryptographic API usage 

      Xing, Weitian (University of Waterloo, 2020-12-15)
      A pluggable type system is a light-weight approach for compile-time program verification, which provides more powerful types to both developers and compilers. Developers use pluggable types to boost program understanding, ...
    • A Lightweight Processor Core for Application Specific Acceleration 

      Grant, David James (University of Waterloo, 2004)
      Advances in configurable logic technology have permitted the development of low-cost, high-speed configurable devices, allowing one or more soft processor cores to be introduced into a configurable computing system. ...

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