ResearchWorks Archive

Browsing Computer science and engineering by Title

Browsing Computer science and engineering by Title

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  • Rao, Ram C (1982)
    Interprocess communication via shared memory has received considerable attention in the past. More recently, there has been a growing interest in communication in distribution environments. This dissertation examines ...
  • Nelson, Jacob Eric
    Grappa is a modern take on software distributed shared memory (DSM) for in-memory data-intensive applications. Grappa enables users to program a cluster as if it were a single, large, non-uniform memory access (NUMA) ...
  • Lin, Thomas (2013-04-17)
    The Web contains more text than any other source in human history, and continues to expand rapidly. Computer algorithms to process and extract knowledge from Web text have the potential not only to improve Web search, but ...
  • Khoussainova, Nodira (2013-02-25)
    More so than ever before, large datasets are being collected and analyzed throughout a variety of disciplines. Examples include social networking data, software logs, scientific data, web clickstreams, sensor network data, ...
  • Murphy, Gail C. (Gail Cecile), 1965- (1996)
    To effectively perform a change to an existing software system, a software engineer needs to have some understanding of the structure of the system. All too often, though, an engineer must proceed to change a system without ...
  • Liao, Lin (2006)
    Automatic recognition of human activities can support many applications, from context aware computing to just-in-time information systems to assistive technology for the disabled. Knowledge of a person's location provides ...
  • Pham, Paul (2014-02-24)
    Quantum computing is a new field which combines computer science and quantum physics. Its most famous result, Shor's factoring algorithm, would enable us to one day compromise the widely-used RSA cryptosystem if we are ...
  • Patel, Kayur Dushyant (2013-02-25)
    Data is driving the future of computation: analysis, visualization, and learning algorithms power systems that help us diagnose cancer, live sustainably, and understand the universe. Yet, the data explosion has outstripped ...
  • Segal, Richard B (1997)
    Machine learning is the inference of general patterns from data. Machine-learning algorithms search large spaces of potential hypotheses for the hypothesis that best fits the data. Since the search space for most induction ...
  • Enev, Miroslav
    The growth of smart devices and the Internet of Things (IoT) is driving data markets in which users exchange sensor streams for services. In most current data exchange models, service providers offer their functionality ...
  • KWON, YONGCHUL (2013-02-25)
    Science and business are generating data at an unprecedented scale and rate due to ever evolving technologies in computing and sensors. Analyzing big data has become a key skill driving business and science. The challenges ...
  • Beschastnikh, Ivan (2013-07-25)
    Billions of people rely on correct and efficient execution of large systems, such as the distributed systems that power Google and Facebook. Yet these systems are complex and challenging to build and understand. Logging ...
  • Liu, Agatha H (2002)
    We introduce CASTOR, an automatic, unsupervised system for protein motif discovery and classification. Given amino acid sequences for a group of proteins, CASTOR generates statistically significant motifs and constructs a ...
  • Soroush, Emad
    Scientists today are able to generate data at an unprecedented scale and rate. For example the Sloan Digital Sky Survey (SDSS) generates 200GB of data containing millions of objects on each night on its routine operation. ...
  • Lai, Kevin Kar Wai (2014-02-24)
    The availability of RGB-D (Kinect-like) cameras has led to an explosive growth of research on robot perception. RGB-D cameras provide high resolution (640 x 480) synchronized videos of both color (RGB) and depth (D) at 30 ...
  • Cary, Matthew, 1974- (2007)
    Mechanism design is a subfield of game theory and microeconomics focused on incentive engineering. A mechanism is a protocol, typically taking the form of an auction, that is explicitly designed so that rational but ...
  • Qin, Xiaohan, 1964- (1997)
    Two recent trends are affecting the design of medium-scale shared-memory multi-processors. The first is the use of nodes which themselves consist of clusters of processors. Clusters, already available as commodity parts, ...
  • Hartung, Carl (2012-09-13)
    Gathering information accurately and quickly is essential for enabling organizations working in low-resource settings to have timely and sustainable impact. Due to insufficient infrastructure, many organizations currently ...
  • Fader, Anthony
    For the past fifteen years, search engines like Google have been the dominant way of finding information online. However, search engines break down when presented with complex information needs expressed as natural language ...
  • Robison, Tyler (2013-07-23)
    In software systems, having features of openness means that some of the internal components of the system are made available for examination by users. Researchers have looked at different effects of open systems a great ...

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