Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 2764 for “"Streams"”.
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Light streams in again
<p>Through poems and lyrics essays, Light Streams in Again tells a narrative of family, art, mental illness and memory, set primarily in southeastern Virginia, where the author—and collection’s narrator—was raised. Woven into vignettes of memory are meditations on natural cycles: primarily using …
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Processing digital television streams
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.
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Turbulent wakes in turbulent streams
… the wake was introduced to<br/>various turbulent streams having various levels of turbulence intensity and length scales. It<br/>was found that the presence of the free-stream turbulence changes the wake’s decay rate and<br/>does not allow self-similarity to occur (unless maybe very far downstream …
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Drinking Water Out of Streams
Drinking Water Out of Streams is a collection of poetry that plays with lyric and narrative form. The collection is arranged with lyric poems surrounding a series of linked narrative poems in the voice of a suburban high school French teacher. These are poems with a subject: both poetic forms weave …
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Efficient analysis of data streams
Data streams provide a challenging environment for statistical analysis. Data points can arrive at a high velocity and may need to be deleted once they have been observed. Due to these restrictions, standard techniques may not be applicable to the data streaming scenario. This leads to the need for …
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Active learning for data streams.
… thesis, we go beyond that by applying AL to data streams. In a stream, data may grow infinitely making its storage prior to processing impractical. Due to its dynamic nature, the underlying distribution of the data stream may change over time resulting in the so-called concept drift or possibly …
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Efficient Algorithms for Mining Data Streams
Data streams are ordered sets of values that are fast, continuous, mutable, and potentially unbounded. Examples of data streams include the pervasive time series which span domains such as finance, medicine, and transportation. Mining data streams require approaches that are efficient, adaptive, …
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Enhancement of Concretized Streams: Mill Creek
… in the most severely degraded portions of these streams—those that are concretized. The goal of this study is to show how restoration might occur in concretized waterways where a naturalized condition cannot fully accommodate the degree of changes and demands that have been placed on the …
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Sprays in Hot Turbulent Gas Streams
… DSpace on 2014-12-05T17:15:12Z (GMT). No. of bitstreams: 1 0009053.pdf: 8902424 bytes, checksum: b500b220f4a2709349f8091f5471e35e (MD5) Previous issue date: 1954
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Estimating Frequency Distributions in Data Streams
Streaming algorithms allow for space-efficient processing of massive datasets. The distribution of the frequencies of items in a large dataset is often used to characterize that data: e.g., the data is heavy-tailed, the data follows a power law, or there are many elements that only appear only once …
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Mechanisms governing phosphorus retention in streams
… as a chemical element necessary for life. In streams, phosphorus is typically one of the most important nutrients and often limits microbial (algae, bacteria, and fungi) growth. As a result, retention of phosphorus within streams largely determines productivity. Factors that influence …
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Unsupervised Concept Drift Detection in Data Streams
In data stream mining, efficiently detecting concept drifts is still challenging due to the high cost of collecting true class labels. Traditional detection methods usually need high computation and memory cost and is unable to distinguish between concept drift and novelty. To improve the drift …
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Advanced adaptive classifier methods for data streams
… from these vast and constantly evolving data streams and generating up-to-date outcomes. To overcome these limitations, Stream Learning (SL) has emerged as a promising solution that enables continuous learning from evolving data streams and adapts to changes in input distributions. This thesis …
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Bridging Sensor Data Streams and Human Knowledge
… out of personal big data in form of sensor streams is a difficult task that presents multiple challenges due to the intrinsic characteristics of these type of data, namely their volume, velocity, variety and noisiness. This problem is a well-known long standing problem in computer science …
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Incremental Processing and Optimization of Update Streams
… plan, control, and make decisions over data streams from multiple sources. We are interested in extending traditional stream processing techniques to meet the new challenges of these applications. Generally, in order to support genuine continuous query optimization and processing over data …
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Multiple Streams Synchronization in Collaborative Multimedia Systems
… is to synchronize the delivery of various media streams to the user. To achieve this, the sender has to provide the temporal relations between the streams as they are captured. Since the receiver uses this information in streams presentation, its accuracy is very important.</p> <p>Our main …
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A Study of Combustion in Supersonic Streams
Supersonic combustion of reactive aluminum alkyl fuels has been experimentally demonstrated in two-dimensional ducted combustors and adjacent to a flat plate. Fuel was injected from the combustor walls through multiple orifices and ignited spontaneously. Stable supersonic heat release was …
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Detecting exploit patterns from network packet streams
… to detect exploit patterns from network packet streams.</p> <p>In network intrusion detection, it is necessary to analyze large volumes of data in an online fashion. Our work addresses scalable analysis of data under the following situations. (1) Attack traffic can be stealthy in nature, which …
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