선박 하이브리드 전기 동력 시스템의 분석 및 모델링
선박 하이브리드 전기 동력 시스템의 설계 및 분석은 엔지니어에게 매우 중요하며, 이 논문은 ETAP 시뮬레이션 소프트웨어를 사용하여 미래 하이브리드 선박 엔지니어링을 위한 적응형 AC 및 DC 전기 하이브리드 동력 시스템 모델을 제시한다.
Analysis and Modeling of Electrical Power Systems for Hybrid Maritime Vessels
This paper presents adaptable electrical power system models for hybrid maritime vessels, including both AC and DC grid architectures, and analyzes their performance through time domain simulations, short-circuit current calculations, and protection & coordination studies.
Energy-Efficient Task Offloading in Satellite-Terrestrial Networks Leveraging Hybrid Quantum Computing
This paper proposes an energy-efficient task offloading solution for satellite-terrestrial networks by jointly optimizing edge cloud selection and bandwidth allocation, leveraging a hybrid quantum deep reinforcement learning approach.
A Distributed Secondary Controller for Reactive Power Sharing and Voltage Regulation in Microgrids with Grid-Forming Inverters
A distributed secondary control scheme is proposed to achieve reactive power sharing and voltage regulation among heterogeneous grid-forming inverters in microgrids.
실시간 연결 마이크로그리드 운영에서 불확실성 완화를 위한 방법
마이크로그리드의 실시간 운영에서 불확실성을 완화하기 위해 다양한 접근법을 비교 분석하였다. 이를 통해 날씨 예측의 정확도가 낮은 상황에서도 효과적으로 마이크로그리드를 운영할 수 있는 방안을 제시하였다.
高性能分散ネットワークにおけるバイザンチン合意の最適化
提案されたIMプロトコルは、高性能分散ネットワークにおけるバイザンチン合意の効率を大幅に向上させる。IMは、マイクロブロックの配布と合意プロセスを効果的に統合し、耐故障性、帯域幅適応性、順序保持などの重要な特性を実現する。
Efficient Byzantine Consensus for High-Performance Distributed Networks
A novel Shared Mempool (SMP) protocol, named IM, that enhances performance under attacks from faulty nodes and network instability by organizing microblocks into chains and utilizing coding techniques to achieve totality and availability efficiently.
HybridFlow: A Flexible and Efficient Framework for Reinforcement Learning from Human Feedback (RLHF)
HybridFlow is a flexible and efficient framework that combines single-controller and multi-controller paradigms to enable flexible representation and efficient execution of diverse RLHF dataflows.
BlockDAG網絡獲得2024年最佳山寨幣獎!原因在此
BlockDAG網絡是2024年最佳山寨幣,因為它建立了可擴展、高效的分佈式系統,解決了傳統區塊鏈的瓶頸。
2024年の最優秀アルトコインはBlockDAGネットワークに決定!その理由
BlockDAGネットワークは2024年の最優秀アルトコインに選ばれた。その理由は、スケーラビリティ、効率性、ブロックチェーンの課題を解決する能力にある。
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