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 110 for “"Data Stream"”.
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Quality-of-Service-Aware Data Stream Processing
Data stream processing in the industrial as well as in the academic field has gained more and more importance during the last years. Consider the monitoring of industrial processes as an example. There, sensors are mounted to gather lots of data within a short time range. Storing and …
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Information Analysis of Spatiotemporal Data Stream–Models, Algorithms and Evaluations
The Spatiotemporal data stream has been widely used in different applications for system surveillance, prediction, and optimization. In the past decade, the advancement of sensing and data storage technologies has made spatiotemporal data more achievable and enlarges spatiotemporal data’s scale …
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Stela: on-demand elasticity in distributed data stream processing systems
"Big data is characterized by volume and velocity [24], and recently several real- time stream processing systems have emerged to combat this challenge. These systems process streams of data in real time and computational results. However, current popular data stream processing systems lack the …
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Missing tags detection algorithm for radio frequency identification (RFID) data stream
… as it will cause the system to report incorrect data due to an incorrect number of tags being detected. In fact, the performance of RFID missing tag detection is largely affected by uncertainty, which should be considered in the detecting process phase to minimize its negative impact. Thus in …
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Elasticity and resource aware scheduling in distributed data stream processing systems
The student, Boyang Peng, submitted this Thesis for approval on 2015-04-22 at 10:43.
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A Dynamic Attribute-Based Load Shedding and Data Recovery Scheme for Data Stream Management Systems
Data streams being transmitted over a network channel with capacity less than the data rate of the data streams is very common when using network channels such as dial-up, low bandwidth wireless links. Not only does this lower capacity creates delays but also causes sequential network problems such …
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An adaptive placement framework for efficient near-data stream processing over data source-edge-cloud systems
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-08-01
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Learning Recurring Concepts from Data Streams in Ubiquitous Environments
… it is now possible to continuously record data at high speeds in a wide range of devices. The need to make sense of such massive amounts of data opens an opportunity to create new data stream classification techniques to model and predict the behavior of streaming data. When learning from …
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Streaming Random Forests
Recent research addresses the problem of data-stream mining to deal with applications that require processing huge amounts of data such as sensor data analysis and financial applications. Data-stream mining algorithms incorporate special provisions to meet the requirements of stream-management …
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Analyzing frequent patterns in data streams using a dynamic compact stream pattern algorithm
… advancement in communication, a large amount of data streams are continually generated from various online applications, devices and sources. Mining frequent patterns from these streams of data is now an important research topic in the field of data mining and knowledge discovery. The traditional …
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High-Speed Low-Voltage Line Driver for SerDes Applications
… and operates by converting a parallel data stream in a serial data stream that can be then transmitted at a higher bit rate, existing SerDes devices operate up to 12.5Gbps. A matching SerDes device at the destination will then convert the serial data stream back into a parallel data …
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A Calculus for Network Delay and a Note on Topologies of Interconnection Networks
… the model we use to describe the entry of data into the network is nonprobabilistic: we suppose that the data stream entered into the network by any given user satisfies "burstiness constraints." A data stream is said to satisfy a burstiness constraint if the quantity of data from the …
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Advanced adaptive classifier methods for data streams
… has resulted in an overwhelming influx of big data. However, traditional batch learning models face significant obstacles in effectively learning from these vast and constantly evolving data streams and generating up-to-date outcomes. To overcome these limitations, Stream Learning (SL) has …
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Efficient computation of advanced skyline queries.
… such as multi-criteria decision making, data mining and visualization, and user-preference queries. Due to its importance, skyline and its computation have received considerable attention from database research community recently. All the existing techniques, however, focus on the …
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Data Compression Strategies for RDAT/DDS Media in Hostile Environments
… propagation in magnetically recorded compressed data when severe environmental conditions result in uncorrected channel errors.<br/><br/>The tape format DDS is examined and a computer simulation of its error correction procedures is described. This software implementation uses explicit parity …
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Um framework semissupervisionado para classificação de dados em fluxos contínuos
Data stream applications receive a large volume of data quickly, and they need to process them sequentially. In these applications, the data may change during the use of the model; in addition, the number of instances whose label is known may not be sufficient to generate an effective model. …
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Wearable Personal Data Information Capture System
… by development of The Wearable Personal Data Information Capture System (WPDICS), which is used to support the "physical" data stream requirement on a person as they experience daily life, including visual and audio information. To fit the acquirement of "wearable", the system should be …
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