Results 41 to 50 of about 22,970,744 (375)
Data compression algorithms for sensor networks with periodic transmission schemes [PDF]
MATEC Web of Conferences, 2022 The operating state of switch cabinet is significant for the reliability of the whole power system, collecting and monitoring its data through the wireless sensor network is an effective method to avoid accidents.
Chen Jianxin +5 more
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Sketch distance-based clustering of chromosomes for large genome database compression
BMC Genomics, 2019 Background The rapid development of Next-Generation Sequencing technologies enables sequencing genomes with low cost. The dramatically increasing amount of sequencing data raised crucial needs for efficient compression algorithms.
Tao Tang +4 more
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Applications of Non-Uniquely Decodable Codes to Privacy-Preserving High-Entropy Data Representation
Algorithms, 2019 Non-uniquely-decodable (non-UD) codes can be defined as the codes that cannot be uniquely decoded without additional disambiguation information. These are mainly the class of non–prefix–free codes, where a code-word can be a prefix of other(s)
Muhammed Oğuzhan Külekci +1 more
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Adaptive online data compression [PDF]
Proceedings 11th IEEE International Symposium on High Performance Distributed Computing, 2002 Quickly transmitting large datasets in the context of distributed computing on wide area networks can be achieved by compressing data before transmission. However, such an approach is not efficient when dealing with higher speed networks. Indeed, the time to compress a large file and to send it is greater than the time to send the uncompressed file. In
Jeannot, Emmanuel +2 more
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Low-Complexity Vector Quantized Compressed Sensing via Deep Neural Networks
IEEE Open Journal of the Communications Society, 2020 Sparse signals, encountered in many wireless and signal acquisition applications, can be acquired via compressed sensing (CS) to reduce computations and transmissions, crucial for resource-limited devices, e.g., wireless sensors.
Markus Leinonen, Marian Codreanu
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Generalized massive optimal data compression [PDF]
, 2017 Data compression has become one of the cornerstones of modern astronomical data analysis, with the vast majority of analyses compressing large raw datasets down to a manageable number of informative summaries. In this paper we provide a general procedure
J. Alsing, B. Wandelt
semanticscholar +1 more source
Annual Review of Biomedical Data Science, 2019 Recently, there has been growing interest in genome sequencing, driven by advances in sequencing technology, in terms of both efficiency and affordability. These developments have allowed many to envision whole-genome sequencing as an invaluable tool for
M. Hernaez +3 more
semanticscholar +2 more sources
Real-Time Streaming Point Cloud Compression for 3D LiDAR Sensor Using U-Net
IEEE Access, 2019 Point cloud data from LiDAR sensors is the currently the basis of most L4 autonomous driving systems. Sharing and storing point clouds will also be important for future applications, such as accident investigation or V2V/V2X networks.
Chenxi Tu +3 more
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HitIct:Chinese corpus for the evaluation of lossless compression algorithms
Tongxin xuebao, 2009 HitIct, a Chinese corpus for the evaluation of lossless compression algorithms based on ANSI code, was proposed.In accordance with the principle of application representativeness, Complementary principle and openness principle, a large number of ...
CHANG Wei-ling1 +3 more
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Revista Matemática Complutense, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Roberto Barrio, Antonio Elipe
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