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MuDi-Stream: A multi density clustering algorithm for evolving data stream
Published 2016“…Density-based method has emerged as a worthwhile class for clustering data streams. Recently, a number of density-based algorithms have been developed for clustering data streams. …”
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Comparison analysis of stream cipher algorithms for digital communication
Published 2007“…The stream cipher algorithms evaluated are based on the linear feedback shift register (LFSR) with nonlinear combining function. …”
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Hardware Implementation Of Rc4a Stream Cipher Algorithm
Published 2007“…The implementation is able to support variable key lengths from 8 bits up to 512 bits. Unlike other stream ciphers, the proposed implementation generates two output streams at a time, whereas others generate only one output stream. …”
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Video streaming performance under wellknown packet scheduling algorithms
Published 2011“…It is demonstrated via computer simulation that Proportional Fair (PF) algorithm outperforms other well-known algorithms by providing video streaming QoS at acceptable levels whilst maximizing cell throughput. …”
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On density-based data streams clustering algorithms: A survey
Published 2017“…Recently, a lot of density-based clustering algorithms are extended for data streams. The main idea in these algorithms is using density-based methods in the clustering process and at the same time overcoming the constraints, which are put out by data stream’s nature. …”
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A study of density-grid based clustering algorithms on data streams
Published 2011“…Several clustering algorithms have been introduced for data streams based on distance which are incompetent to find cluster of arbitrary shapes and cannot handle the outliers. …”
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An online density-based clustering algorithm for data stream based on local optimal radius and cluster pruning
Published 2019“…BOCEDS clusters the data stream in a single stage. The algorithm summarizes the data from data stream in micro-clusters. …”
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A review on data stream classification
Published 2018“…This paper presents several data stream clustering approaches, which are based on density, besides attempting to comprehend the function of the related algorithms; both semi-supervised and active learning, along with reviews of a number of recent studies.…”
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A Review on Data Stream Classification
Published 2018“…This paper presents several data stream clustering approaches, which are based on density, besides attempting to comprehend the function of the related algorithms; both semi-supervised and active learning, along with reviews of a number of recent studies.…”
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Hardware implementation of RC4A stream cipher
Published 2009“…Implementation of cryptographic algorithms on hardware runs faster than on software and at the same time offering more intrinsic security. …”
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An overview of media streams caching in peer-to-peer systems
Published 2014“…Media objects have some characteristics that have to be considered when a caching algorithm is going to be performed. In this paper, recent approaches that have been proposed for media streams caching in peer-to-peer systems are reviewed.…”
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Audio Streaming System Using Real-Time Transport Protocol Based on Java Media Framework
Published 2004“…The work presented in this thesis discusses the problems of real-time audio streaming and investigates solutions for improving the audio data transmitting over the network.To achieve audio media data transmitting over the network in an efficient manner (realtime), the following issues: Initial delay of playing time (downloading time); current streaming protocols which can not cope well with network congestion; compression algorithms efficiency; network bandwidth utilization (network infrastructure); and security concerns of content owners, need to be considered.In this thesis, the implementation method of a real-time audio streaming service system is discussed. …”
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A buffer-based online clustering for evolving data stream
Published 2019“…Recently, a fully online clustering algorithm for evolving data stream called CEDAS was proposed. …”
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An efficient approach to detecting missing tags in RFID data stream
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Framework for stream clustering of trajectories based on temporal micro clustering technique
Published 2018“…However, it is a vital process for many applications such as traffic management, studying of animal behavior, and weather forecasting. Many existing algorithms for stream clustering of trajectory stream data exploit the time window technique which partition trajectory stream data into time-bins and cluster the segments in each timebin separately. …”
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Evaluation of arima and ann stream analytics for air quality monitoring system
Published 2021“…The data stored in the query table act as input to the analytics algorithm, which runs in R-server as well. In this thesis, two algorithms have been implemented and compared. …”
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Data stream clustering by divide and conquer approach based on vector model
Published 2016“…The continuous effort on data stream clustering method has one common goal which is to achieve an accurate clustering algorithm. …”
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Incremental learning for large-scale stream data and its application to cybersecurity
Published 2015“…These results indi�cate that the proposed method can improve the RAN learning algorithm towards the large-scale stream data processing. …”
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Thesis