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  • Economics  (2)
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  • Economics  (2)
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  • 1
    Online Resource
    Online Resource
    Hindawi Limited ; 2019
    In:  Mobile Information Systems Vol. 2019 ( 2019-10-30), p. 1-17
    In: Mobile Information Systems, Hindawi Limited, Vol. 2019 ( 2019-10-30), p. 1-17
    Abstract: Radio-frequency identification (RFID) tag anticollision algorithm is a key technology that affects the performance of RFID systems. In dynamic arrival scenarios, when the tags arrive the reader’s interrogation zone, they cannot participate in the ongoing identification immediately, resulting in longer waiting time and tag miss. Focusing on solving this problem, based on blocking technology, dynamic frame-slotted ALOHA (DFSA) algorithm, and the first-come-first-serve (FCFS) idea, a fast RFID tag anticollision algorithm for dynamic arrival scenarios is proposed, named as “DAS-DFSA algorithm”. By optimizing the instruction structure and identification process, the DAS-DFSA allows the new arrival tag to immediately participate in the ongoing identification process, the tag’s waiting time is shortened, and the miss rate is reduced. DAS-DFSA not only adopts blocking technology to prevent the collision between the arrival tag and waiting tag but also uses unequal-length slots to reduce the communication time overhead. Simulation results show that the identification speed of the algorithm is significantly improved and high system efficiency is guaranteed. Under the same operating conditions, compared with similar algorithms, the waiting time is shortened by more than 44.548% and the identification speed is improved by at least 39.053%. More importantly, it can provide the instant-on-service for dynamic arrival tags and can fully meet the requirements of fast identification of tags in different dynamic arrival scenarios.
    Type of Medium: Online Resource
    ISSN: 1574-017X , 1875-905X
    RVK:
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2019
    detail.hit.zdb_id: 2187808-0
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  • 2
    Online Resource
    Online Resource
    Hindawi Limited ; 2021
    In:  Mobile Information Systems Vol. 2021 ( 2021-8-9), p. 1-13
    In: Mobile Information Systems, Hindawi Limited, Vol. 2021 ( 2021-8-9), p. 1-13
    Abstract: The traditional mass diffusion recommendation algorithm only relies on the user’s object collection relationship, resulting in poor recommendation performance for users with small purchases (i.e., small-degree user), and it is difficult to balance the accuracy and diversity of the recommendation system. This paper introduces the trust relationship into the resource allocation process of the traditional mass diffusion algorithm and proposes the Dual Wing Mass Diffusion model (DWMD), which constructs a dual wing graph based on trust relationships and object collection relationships. Implicit trust is mined according to the network structure of the trust relationship and integrated into the resource allocation process, and then merging the positive effects of object reputation on a recommendation through tunable scaling parameters. The user controls the tunable scaling parameter to achieve the best recommendation performance. The experimental results show that the DWMD method significantly improves diversity and novelty while ensuring high accuracy and effectively improves the accuracy and diversity balance. The improved recommendation performance for small-degree users proves that the trust relationship can effectively alleviate the generalized cold start problem of the recommendation algorithm for users who collect a small number of objects.
    Type of Medium: Online Resource
    ISSN: 1875-905X , 1574-017X
    RVK:
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2187808-0
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
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