Results 11 to 20 of about 12,185 (310)
Shanghai Jiaotong Daxue xuebao, 2022 With the rapid development of distributed power generation research and application, the distributed trading market, as a new type of power trading mode, can effectively increase the consumption rate of renewable energy and is an important means to ...
WANG Wenbin, ZHENG Shujiang, FAN Ruixiang, CHEN Wen, ZHOU Shiyang
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Enhancing Saga Pattern for Distributed Transactions within a Microservices Architecture
Applied Sciences, 2022 The saga pattern manages transactions and maintains data consistency across distributed microservices via utilizing local sequential transactions that update each service and publish messages to trigger the next ones.
Eman Daraghmi +2 more
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Transactional Interpretation and the Generalized Poisson Distribution
Entropy, 2022 The aim of this paper is to study the quantum-like approach to the description of the market in the context of the principle of minimum Fisher information. We wish to investigate the validity of using squeezed coherent states as market strategies. For this purpose, we focus on the representation of any squeezed coherent state with respect to the basis ...
Marcin Makowski +1 more
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Optimized User-Friendly Transaction Time Management in the Blockchain Distributed Energy Market
IEEE Access, 2022 The blockchain nexus with energy transactions in the distributed energy-trading arena successfully achieved a decentralized transaction and increased security.
Martin Onyeka Okoye, Hak-Man Kim
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RDMA Optimization Technology for Two-Phase Locking Concurrency Control [PDF]
Jisuanji kexue yu tansuo, 2023 Performance optimization of distributed transactions is one of the hottest topics in academic and industry community. Concurrency control technology based on two-phase locking can guarantee the correctness of concurrent transaction scheduling, thus it is
LI Jingyao, ZHANG Qian, ZHAO Zhanhao, LU Wei, ZHANG Xiao, DU Xiaoyong
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IEEE Access, 2022 The importance of the distributed generations cannot be overemphasized. This ranges from the contribution to resilience down to the energy cost efficiency advantage at the consumers’ end.
Martin Onyeka Okoye, Hak-Man Kim
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International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
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IEEE Access, 2023 Peer-to-Peer (P2P) electricity transaction is an emerging power trading model, which can effectively solve the drawbacks of traditional power trading that requires the exist of intermediaries. As the application spreads, P2P electricity transaction faces
Zhihu Li +4 more
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Data‐driven performance metrics for neural network learning
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri +2 more
wiley +1 more source
Research on Asynchronous Global Index of Financial Distributed Database [PDF]
Jisuanji kexue yu tansuo, 2023 With the rapid development of mobile payment, the traditional centralized database used by the financial core business is confronted with challenges in terms of performance and availability.
JIN Panshi, LI Bohan, QIN Xiaolin, XING Lei, LI Xiaodong, WANG Jin
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