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Showing result 1 - 5 of 6 essays matching the above criteria.
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1. Automated Intro Detection ForTV Series
University essay from KTH/Medicinteknik och hälsosystemAbstract : Media consumption has shown a tremendous increase in recent years, and with this increase, new audience expectations are put on the features offered by media-streaming services. One of these expectations is the ability to skip redundant content, which most probably is not of interest to the user. READ MORE
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2. Using Hash Trees for Database Schema Inconsistency Detection
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : For this work, two algorithms have been developed to improve the performance of the inconsistency detection by using Merkle trees. The first builds a hash tree from a database schema version, and the second compares two hash trees to find where changes have occurred. READ MORE
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3. Applying Memoization as an Approximate Computing Method for Transiently Powered Systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Internet of Things (IoT) is becoming a more and more prevailing technology, as it not only makes the routine of our life easier, but it also helps industry and enteprise become more efficient. The high potential of IoT can also help support our own population on Earth, through precision agriculture, smart transportation, smart city and so on. READ MORE
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4. Scalable Streaming Graph Partitioning
University essay from KTH/Skolan för informations- och kommunikationsteknik (ICT)Abstract : Large-scale graph-structured datasets are growing at an increasing rate. Social network graphs are an example of these datasets. Processing large-scale graphstructured datasets are central to many applications ranging from telecommunication to biology and has led to the development of many parallel graph algorithms. READ MORE
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5. Hash-based Eventual Consistency to Scale the HDFS Block Report
University essay from KTH/Skolan för informations- och kommunikationsteknik (ICT)Abstract : The architecture of the distributed hierarchical file system HDFS imposes limitations on its scalability. All metadata is stored in-memory on a single machine, and in practice, this limits the cluster size to about 4000 servers. READ MORE