Artificial Intelligence-Generated Content (AIGC) is a rapidly growing field that uses advanced AI algorithms to automatically generate, manipulate, and modify data to create diverse and valuable content. Recently, mob...
Artificial Intelligence-Generated Content (AIGC) is a rapidly growing field that uses advanced AI algorithms to automatically generate, manipulate, and modify data to create diverse and valuable content. Recently, mobile AIGC networks have attracted significant attention. They integrate with mobile edge networks to provide customized and personalized AIGC services in real time. This is achieved by deploying AI algorithms on edge devices, particularly on Unmanned Aerial Vehicles (UAVs) with edge servers in a flexible and dynamic manner for ubiquitous edge intelligence. However, the wide deployment of UAV-enabled AIGC still faces critical challenges, such as issues with data freshness for AIGC fine-tuning and concerns around incentivizing fresh data sharing among UAVs under information asymmetry. In this paper, we first utilize Age of information (AoI) as a well-accepted data-freshness metric to quantify data freshness for AIGC fine-tuning. Then, we propose an AoI-based contract theory model to incentivize the contribution of fresh data among UAVs. Moreover, we design the optimal contract that is feasible to maximize the expected utility of the base station that is responsible for dispatching UAVs to collaboratively perform AIGC tasks. Finally, numerical results demonstrate the effectiveness of the proposed scheme in mobile AIGC networks.
We propose a novel SA-BOCDA sensor based on multicore fiber. By subtracting the output probe powers of two symmetrical outer cores, response enhanced vibration detection is realized without frequency scanning.
ISBN:
(纸本)9781957171258
We propose a novel SA-BOCDA sensor based on multicore fiber. By subtracting the output probe powers of two symmetrical outer cores, response enhanced vibration detection is realized without frequency scanning.
Ensemble technique and Under-sampling technique are both effective tools for resolvig imbalanced dataset classification problems, which commonly denotes the quantitative imbalance of a binary class dataset where minor...
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We apply Dynamic Mode Decomposition (DMD) to Elementary Cellular Automata (ECA). Three types of DMD methods are considered and the reproducibility of the system dynamics and Koopman eigenvalues from observed time seri...
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E-commerce websites and internet purchasing have never been more necessary. Product recommendations are a key tactic employed by online buying platforms. This study compares two different filtering algorithms that are...
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Ant Colony Optimization (ACO) is a meta-heuristic algorithm that has been successfully applied to various Combinatorial Optimization Problems (COPs). Traditionally, customizing ACO for a specific problem requires the ...
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When building complex systems, the design space of the system architecture needs to be modelled and fully expanded to support experts in making further decisions. The trend of more-electric aircraft (MEA) allows elect...
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The research field of behavior monitoring and estrus detection in cows has predominantly concentrated on investigating isolated occurrences of mounting behavior, neglecting the analysis of dynamic behaviors exhibited ...
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Vision foundation models are increasingly employed in autonomous driving systems due to their advanced capabilities. However, these models are susceptible to adversarial attacks, posing significant risks to the reliab...
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Wind farm system is an exciting renewables energies sources, on all the plans. Wind turbines are now part of our landscape and which are developing at high speed. The expansion recent accelerated of wind farms is syno...
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ISBN:
(数字)9798350349740
ISBN:
(纸本)9798350349757
Wind farm system is an exciting renewables energies sources, on all the plans. Wind turbines are now part of our landscape and which are developing at high speed. The expansion recent accelerated of wind farms is synonymous of a set of techno-economic constraints and ecological emit. This has resulted in the work on the improvement of the life cycles cost in order to achieve Balance in the levelized cost of energy. Renewable energies are among the goals of the Algerian government to reduce the production of energies through gas and coal by encouraging investment in green energies. The economic cost associated with the life cycles of renewable energies is a main problem that must be optimize. The life-cycle study simulates the chronology of a wind farm and the mechanism of the contribution of phases over the lifespan. Four phases are used manufacturing, transportation & installation, exploitation & operations, and finally dismantling and recycling. according on the cost of one kWh, this study is the subject of a real case which is the Kabertanne wind farm located in the W. Adrar who counts 12 wind power turbines, type G.52-850 kW. The results obtained respectively show the rates of contribution from each phase in relation to the total cost, which are as follows: 47.04%; 41.3%; 8.5%; 3.2%. To assess the effectiveness of the obtained results of LCOE, the LCA and Monte Carlo methods were used to compare the results.
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