WebNov 1, 2015 · In this paper we explore in more depth the connection between sensor scheduling, submodularity, and greedy algorithms. We characterize conditions under which the greedy algorithm gives provable performance guarantees by studying the submodularity of sensor scheduling objective functions. Contributions: The contributions … WebMar 4, 2024 · The proposed method can provide better optimization results than those obtained by the original group-greedy method when a similar computational cost is spent …
Determinant-based Fast Greedy Sensor Selection Algorithm
WebApr 29, 2024 · We devise a cloudlet placement strategy based on a particle swarm optimization algorithm using genetic algorithm operators with the encoding library updating mode (PGEL), which enables the cloudlet to be placed in appropriate positions. The simulation results show that the proposed strategy can obtain a near-optimal cloudlet … WebJun 8, 2024 · Complete temperature field estimation from limited local measurements is widely desired in many industrial and scientific applications of thermal engineering. … sbs food live streaming
[2010.09329] Data-driven sparse sensor placement based on A …
Webal. developed a sensor optimization method using balanced truncation for linear systems [9]. Saito et al. extended the greedy method to vector sensor problems in the context of a fluid dynamic measurement application [10]. Thus far, this sensor selection problem has been solved by convex approximation and a greedy algorithm, where the greedy Webadshelp[at]cfa.harvard.edu The ADS is operated by the Smithsonian Astrophysical Observatory under NASA Cooperative Agreement NNX16AC86A WebMar 3, 2024 · In greedy methods, we select the sensing location one by one. In this way, the searching space is greatly reduced but many valid solutions are ignored. To further improve the current greedy methods, we propose a group-greedy strategy, which can … sbs food logo