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  • Hindawi Limited  (2)
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  • Hindawi Limited  (2)
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  • 1
    Online Resource
    Online Resource
    Hindawi Limited ; 2017
    In:  Wireless Communications and Mobile Computing Vol. 2017 ( 2017), p. 1-10
    In: Wireless Communications and Mobile Computing, Hindawi Limited, Vol. 2017 ( 2017), p. 1-10
    Abstract: A new method about renewable energy cooperation among small base stations (SBSs) is proposed, which is for maximizing the energy efficiency in ultradense network (UDN). In UDN each SBS is equipped with energy harvesting (EH) unit, and the energy arrival times are modeled as a Poisson counting process. Firstly, SBSs of large traffic demands are selected as the clustering centers, and then all SBSs are clustered using dynamic k -means algorithm. Secondly, SBSs coordinate their renewable energy within each formed cluster. The process of energy cooperation among SBSs is considered as Markov decision process. Q -learning algorithm is utilized to optimize energy cooperation. In the algorithm there are four different actions and their corresponding reward functions. Q -learning explores the action as much as possible and predicts better action by calculating reward. In addition, ε greedy policy is used to ensure the algorithm convergence. Finally, simulation results show that the new method reduces data dimension and improves calculation speed, which furthermore improves the utilization of renewable energy and promotes the performance of UDN. Through online optimization, the proposed method can significantly improve the energy utilization rate and data transmission rate.
    Type of Medium: Online Resource
    ISSN: 1530-8669 , 1530-8677
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2017
    detail.hit.zdb_id: 2045240-8
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Hindawi Limited ; 2021
    In:  Journal of Sensors Vol. 2021 ( 2021-11-22), p. 1-17
    In: Journal of Sensors, Hindawi Limited, Vol. 2021 ( 2021-11-22), p. 1-17
    Abstract: Long jump is one of the important events of modern track and field sports, and it is also one of the regular events of major events. Due to the complexity and technicality of the project, the determination of the results in a formal competition is also very complicated. It is easy for athletes to invalidate their results due to fouls by stepping on the jump line. Therefore, it is very necessary to detect fouls. This paper uses a visual sensor technology to design and develop a foul detector for the situation of athletes stepping on the jump line in a long jump, which can detect fouls well. In the formal competition process, because the long jump time is relatively short, the referee is interfered by many factors and it is easy to misread the movements of the athletes and cause misjudgment. Therefore, on this basis, in order to improve the fairness of the game and create a good competition environment, the design is designed. The long jump stepping line foul detector is studied, and the visual sensor technology is used, which can judge the long jump stepping fouls during the long jump based on the feedback data.
    Type of Medium: Online Resource
    ISSN: 1687-7268 , 1687-725X
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2397931-8
    Library Location Call Number Volume/Issue/Year Availability
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