Efficient datacompression methods are critical for optimizing storage, accelerating data transfer, and improving system performance. This study gives a comprehensive comparison of three datacompression algorithms: R...
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In this paper, we address the problem of compressing and decompressing handwritten digital-ink data, comprising N points, obtained from electronic devices such as pen tablets, etc. We propose a novel method for data c...
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Vehicular trajectory data can be widely used in applications such as traffic prediction and congestion control. However vehicular trajectory data is voluminous and requires significant storage and processing resources...
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The extended Burrows- Wheeler- Transform (eBWT), introduced by Mantaci et al. [Theor. Comput. Sci., 2007], is a generalization of the Burrows-Wheeler-Transform (BWT) to multisets of strings. Similarly to the classic B...
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ISBN:
(纸本)9781665478939
The extended Burrows- Wheeler- Transform (eBWT), introduced by Mantaci et al. [Theor. Comput. Sci., 2007], is a generalization of the Burrows-Wheeler-Transform (BWT) to multisets of strings. Similarly to the classic BWT, the eBWT consists of one string, which is a permutation of the characters of all the input strings. A number of tools are available that compute the BWT of string collections; however, the data structures they generate in all but one case differ from the one originally defined, as well as from each other.
Until recently, most experts would probably have said we cannot backwards-step in constant time with a run-length compressed Burrows-Wheeler Transform (RLBWT), since doing so relies on rank queries on sparse bitvector...
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ISBN:
(纸本)9781665478939
Until recently, most experts would probably have said we cannot backwards-step in constant time with a run-length compressed Burrows-Wheeler Transform (RLBWT), since doing so relies on rank queries on sparse bitvectors and those inherit lower bounds from predecessor queries. At ICALP'21, however, Nishimoto and Tabei [1] described a new, simple and constant-time implementation.
In this paper, we propose a method to evaluate the throughput of video transcoding in cloud services. This method can quickly estimate the maximum number of transcoding video concurrence on the current transcoding unit.
ISBN:
(纸本)9781665478939
In this paper, we propose a method to evaluate the throughput of video transcoding in cloud services. This method can quickly estimate the maximum number of transcoding video concurrence on the current transcoding unit.
In modern tactical operations, efficient and effective communication combined with robust data processing can significantly enhance the decision-making processes. However, these environments often face challenges such...
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ISBN:
(纸本)9798350374247;9798350374230
In modern tactical operations, efficient and effective communication combined with robust data processing can significantly enhance the decision-making processes. However, these environments often face challenges such as limited bandwidth, high latency, and network interruptions, which can hinder rapid decision-making. Contemporary solutions include datacompression, efficient protocols, and modern data formats. Yet, more powerful solutions, that go beyond merely reducing data and packet size are needed. One promising approach focuses on the Value of Information (VoI), specifically extracting semantics from data. In this paper, we present a Semantic Filtering Platform (SemFilP), capable of effectively minimizing the quantity of transmitted data by reducing the number of semantic redundancies (e.g. two nearly identical images taken within a short time window). The platform was developed entirely with open-source software components to ensure full reproducibility. The platform's core component, the Embedding Component, leverages state-of-the-art Large and Small Language and Vision Models to transform any complex data into a semantic vector representation known as an embedding. Finally, we demonstrate the effectiveness of the platform in a simulated scenario using the MiniNet-WiFi emulator, showcasing substantial savings in bandwidth while preserving the semantic value of the data.
This paper presents a detailed comparative analysis of statistical tests utilizing both modern data compressors and standard statistical methods for assessing the randomness of Ran-dom number generators(RNG). Our stud...
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Containers have emerged as the standard for software deployment, offering simplicity, low overhead, and portability. In the context of updating containers in Edge environments, the constrained bandwidth poses the crit...
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None of the basic system software in big data domain can identify and use such algorithms. So the study evaluates hardware compression the performance of the method in big data environment is of great significance. Th...
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