Influence of Solar Activity and Orbital Motion on Terrestrial Atmosphere
Solar magnetic field reversal, wavelet spectral analysis, and proxies for solar activity index are discussed in relation to the joint effects of solar activity and solar orbital motion on the Earth's atmosphere. The study highlights the impact of solar cycles on terrestrial climate dynamics and temp
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Understanding Blockchain Computer of Ethereum
Explore the intricate workings of Ethereum's blockchain computer, from the order-execute structure to persistent state storage mechanisms. Learn about account information, smart contracts, Merkle Patricia Trie, and the role of OPCODEs in Ethereum Virtual Machine. Delve into the creation of contract
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Challenges and Innovations in Relational Engine Algorithms
Exploring the complexity of processing graph data in relational query engines, this content delves into the challenges faced, practices adopted in academia, and innovative solutions like LMS-NPRR, trie join, and specialized data structures. It discusses the difficulties in handling acyclic vs. cycli
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Wavelet-based Scaleograms and CNN for Anomaly Detection in Nuclear Reactors
This study utilizes wavelet-based scaleograms and a convolutional neural network (CNN) for anomaly detection in nuclear reactors. By analyzing neutron flux signals from in-core and ex-core sensors, the proposed methodology aims to identify perturbations such as fuel assembly vibrations, synchronized
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Efficient Maintenance of Indexed String Sequences in Compressed Space
The Wavelet Trie, Prefix Operations, and Dynamic Sequences are explored in maintaining an indexed sequence of strings efficiently. Various operations like access, rank, select, and dynamic updates are discussed with the aim of storing strings in minimal space while supporting polylog operations effe
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Efficient Data Structures for Top-k Completion Queries
Explore space-efficient data structures for top-k completion queries, particularly focusing on scored string sets and trie-based solutions. The research compares three solutions: RMQ Trie, Completion Trie, and Score-Decomposed Trie, emphasizing space efficiency and fast access for large sets of scor
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Trie-based Entity Extraction Framework for Dirty Real-World Data
Researchers from Tsinghua University, China, have developed a Trie-based framework for entity extraction in real-world data, addressing challenges such as dirty data and typos in author names and titles. The framework leverages Trie-based algorithms to optimize partition schemes and extract named en
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