Now showing items 161-180 of 256

    • Crosswy, William Spencer (2012-04-11)
      Department: Computer Science
      With demand for high-performance computing at an all-time high, especially from the scientific/numerical analysis community, leveraging the power of existing heterogeneous architectures has become increasingly desirable. ...
    • Datar, Parth Abhijit; 0000-0002-5870-9237 (2022-05-19)
      Department: Computer Science
      Structural variant detection is an important problem in the field of computational genomics. Structural Variants (SVs) involve long DNA disruptions (e.g. insertions or deletions of more than 50 base pairs), and they are ...
    • Cao, Yanchuan (2011-04-01)
      Department: Computer Science
      A unique challenge in P2P network is that the peer dynamics (departure or failure) cause unavoidable disruption to the downstream peers. While many works have been dedicated to consider fault resilience in peer selection, ...
    • Teng, Zhongwei; 0000-0001-7715-388X (2022-11-18)
      Department: Computer Science
      Machine learning with deep neural networks has been ubiquitous in solving various real-world problems with distinct human inputs, such as images, natural language, speech, and motion. As deep learning technology transitions ...
    • Yu, Weijie (2015-07-23)
      Department: Computer Science
      Secure multiparty computation (SMC) focuses on solving the problem of how two or more parties can jointly compute the result of a function without disclosing their private input. One approach to achieving SMC is a garbled ...
    • Mujumdar, Sujata (2005-12-02)
      Department: Computer Science
      Performance-critical distributed systems, especially the distributed real-time and embedded (DRE) systems, have been proliferating in the past few decades. Designing and implementing DRE systems is significantly challenging ...
    • Agrawal, Akshay (2013-12-12)
      Department: Computer Science
      Automated code-generators are increasingly becoming the workhorses in model-based development of Cyber-Physical Systems (CPS). Significant model-driven tools have emerged incorporating advanced model-checking methods that ...
    • Kogekar, Arundhati (2007-04-17)
      Department: Computer Science
      Software design for large-scale distributed systems requiring multiple Quality of Service (QoS) properties is increasingly moving away from traditional, stove-piped, "build-from-scratch" architectures to modern, ...
    • Balasubramanian, Krishnakumar (2007-09-24)
      Department: Computer Science
      Although distributed object computing (DOC) middleware, such as the Common Object Request Broker (CORBA) and Java Remote Method Invocation (RMI), were a significant improvement over prior middleware for developing distributed ...
    • Tambe, Sumant (2010-10-19)
      Department: Computer Science
      Developing distributed real-time and embedded (DRE) systems require effective strategies to simultaneously handle the challenges of networked systems, enterprise systems, and embedded systems. Component-based model is ...
    • An, Kyoungho (2011-04-07)
      Department: Computer Science
      Reconfigurable conveyors are increasingly being adopted in multiple industrial sectors for their immense flexibility in adapting to new products and product lines. Before modifying the layout of the conveyor system for the ...
    • Dong, Yi (2018-09-20)
      Department: Computer Science
      Open-Ended Learning Environments (OELEs) describe a class of environments that provide students with learning goals that are usually in the form of complex problem-solving and model-building tasks. OELEs also scaffold ...
    • Riley, Derek David (2009-04-08)
      Department: Computer Science
      Formal modeling and analysis methods hold great promise to help further discovery and innovation for biochemical systems. Domain experts from physicians to chemical engineers can use computational modeling and analysis ...
    • Bao, Tianshu; 0000-0002-7673-3062 (2023-07-19)
      Department: Computer Science
      Partial differential equations (PDEs) have been widely used to describe a wide range of phenomena such as fluid dynamics and quantum mechanics and classical numerical methods express their limitation dealing with PDEs. Due ...
    • Joveski, Zlatko; 0000-0002-6856-801X (2020-09-16)
      Department: Computer Science
      This dissertation studies models of graph classes. We explore how models can be used to define new graph classes that either generalize or combine multiple properties. Further, we examine when and how such properties can ...
    • Vig, Lovekesh (2006-10-17)
      Department: Computer Science
      As the multi-robot community strives towards greater autonomy, there is a need for systems that allow robots to autonomously form teams and cooperatively complete assigned missions. The corresponding problem with software ...
    • Hossain, Gm Tareq (2011-08-22)
      Department: Computer Science
      The recent advancement in compression techniques and networking technologies have resulted in wide deployment of novel content distribution applications. These applications enable the end-users to have ubiquitous access ...
    • Jiang, Shanshan (2009-12-01)
      Department: Computer Science
      Wireless networks are more prone to failures than their wireline counterparts. The unique characteristics of wireless networks introduce fundamental challenges to the design of restoration related wireless networks that ...
    • Cao, Yanchuan (2008-12-30)
      Department: Computer Science
      This thesis considers two important issues for video sensor networks, (1) timely delivery of captured video stream and (2) energy-efficient network design. Based on network calculus, it presents a unified analytical framework ...
    • Sahoo, Saroj; 0000-0003-1173-7473 (2023-11-15)
      Department: Computer Science
      Flow visualization serves as a crucial tool for scientists and researchers to gain valuable insights into complex flow data. However, with the growing complexity and scale of the numerical simulations, the resulting datasets ...