Due to a wide range of essential applications, resource limitations, and intermittent irregular responses from cluster sensor nodes, different cluster sensor node faults and failures of distributed wireless sensor net...
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Withthe increasing deployment of renewable energy generations (REGs) for utility and home business scales, the technical constrains and design considerations are becoming more critical. the design of REG systems must...
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ISBN:
(纸本)9798350312669
Withthe increasing deployment of renewable energy generations (REGs) for utility and home business scales, the technical constrains and design considerations are becoming more critical. the design of REG systems must be not relied only on the local specifications and load profiles, but also the characteristics of the connected power grids. For example, the power grid impedance characteristics has a significant impact on the capability, stability and quality of the integrated REG. For photovoltaic (PV) systems, this impact becomes more considerable with power penetration and the bulky use of EMI and interface inductive filters. therefore, this paper seeks the grid impacts on the designing of grid-connected PV systems. the short circuit ratio (SCR) and the maximum transmitted power are defined to obtain the capability of the PV interfaced inverters, with maintaining the voltage stability at the point of common coupling (PCC). In addition, the grid power flow is evaluated under different grid designs. the four terminals power system was discussed in this study to investigate the most common topology used for low voltage (LV) distribution networks and the modern micro grids. the analysis effectiveness in this paper is verified by simulation.
In 6G network, the LEO satellite communication is popular because of the lower development costs and lower transmission delay. However, due to the instability, openness and exposure of links between satellites, LEO sa...
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this study proposes two distributed multi-reconfigurable intelligent surface (MRIS)-aided systems and performs their statistical characterization and modeling. the mathematical framework is provided for both schemes t...
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Recurrent neural networks (RNNs) have become common models in the field of artificial intelligence to process temporal sequence task, such as speech recognition, text analysis, natural language processing, etc. To spe...
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Agriculture is affected by many factors such as environmental changes, natural disasters, soil erosion, water irrigation, and pesticide control. All these factors will affect the yield of the crop. the Internet of thi...
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Every day, harassment issues and crimes against women are increasing in India. When women are in danger, if there is no chance to access the mobile phones, then women cannot easily contact others for help. Women are a...
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Space-ground integration is a key component of 6G with diverse topologies, time-varying topologies, broad geographical and temporal scales, and limited spatial node resources, bringing new development opportunities an...
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ISBN:
(纸本)9798350333398
Space-ground integration is a key component of 6G with diverse topologies, time-varying topologies, broad geographical and temporal scales, and limited spatial node resources, bringing new development opportunities and scope for mobile communications. Before designing the 3D 6G space-ground integrated network architecture, we first examine the main difficulties of space-ground integrated networks, and then examine the common use cases and requirements of 6G-oriented space-ground integrated networks. Finally, we propose a space-ground integrated network architecture based on a decentralized core network and a ground-centralized core network. For the former, the core network is placed on the ground while the airborne platform performs certain access network activities. To meet the needs of various application scenarios, the latter airborne platform performs access network operations and loads a portion of the core network components. Dynamic deployment of key network functions becomes possible as the network functions are reconfigured to meet the changing application scenario needs and network operation requirements.
distributed training crossing multiple computing nodes and accelerators has been the mainstream solution for large model training. Precedent work on distributed deep learning (DDL) training acceleration has focused on...
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Withthe continuous development of Chinese electricity market reform and opening the distributed transaction market, allowing multi-players such as load-side resources to participate in market competition has become a...
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