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  • Engineering, Technology & Applied Science Research  (2)
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  • Engineering, Technology & Applied Science Research  (2)
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  • 1
    Online Resource
    Online Resource
    An Intelligent Detoxification Function of Liver Algorithm-Partial Transmit Sequence (IDFLA-PTS) for the Reduction of Peak to Average Power Ratio in Underwater Acoustic OFDM Communication
    Engineering, Technology & Applied Science Research ; 2022
    In:  Engineering, Technology & Applied Science Research Vol. 12, No. 1 ( 2022-02-12), p. 8136-8142
    Details
    In: Engineering, Technology & Applied Science Research, Engineering, Technology & Applied Science Research, Vol. 12, No. 1 ( 2022-02-12), p. 8136-8142
    Abstract: Intelligent algorithms in artificial intelligence have brought several benefits to digital signal processing. The boom in machine learning and intelligent systems provides new perspectives and methods to solve many research problems in Underwater Acoustic (UWA) Orthogonal Frequency Divisional Multiplexing (OFDM) communication. Partial transmit sequence is a tremendous technique for the mitigation of high Peak-to-Average Power Ratio (PAPR) in OFDM communication systems, but finding the optimum phase factors has still a few problems. In this paper, a Partial Transmit Sequence (PTS) based on an Intelligent Detoxification Function of Liver Algorithm-Partial Transmit Sequence (IDFLA-PTS) is proposed for the mitigation of PAPR in the UWA OFDM communication systems. This algorithm reduces the PAPR and the complexity of the proposed UWA OFDM model. The IDFLA-PTS is also compared with the Genetic Algorithm-Partial Transmit Sequence (GA-PTS). Besides this, the Bit Error Rate (BER) performance of the IDFLA-PTS is shown when a High Power Amplifier (HPA) is used for the BELLHOP channel model. The experimental results of the proposed IDFLA-PTS method achieved nearly optimum results with fair complexity as compared to GA-PTS and boosted the BER performance.
    Type of Medium: Online Resource
    ISSN: 1792-8036 , 2241-4487
    URL: Article
    DOI: 10.48084/etasr.4655
    Language: Unknown
    Publisher: Engineering, Technology & Applied Science Research
    Publication Date: 2022
    detail.hit.zdb_id: 2679097-X
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    Online Resource
  • 2
    Online Resource
    Online Resource
    Performance Analysis of Duplicate Record Detection Techniques
    Engineering, Technology & Applied Science Research ; 2019
    In:  Engineering, Technology & Applied Science Research Vol. 9, No. 5 ( 2019-10-09), p. 4755-4758
    Details
    In: Engineering, Technology & Applied Science Research, Engineering, Technology & Applied Science Research, Vol. 9, No. 5 ( 2019-10-09), p. 4755-4758
    Abstract: In this paper, a comprehensive performance analysis of duplicate data detection techniques for relational databases has been performed. The research focuses on traditional SQL based and modern bloom filter techniques to find and eliminate records which already exist in the database while performing bulk insertion operation (i.e. bulk insertion involved in the loading phase of the Extract, Transform, and Load (ETL) process and data synchronization in multisite database synchronization). The comprehensive performance analysis was performed on several data sizes using SQL, bloom filter, and parallel bloom filter. The results show that the parallel bloom filter is highly suitable for duplicate detection in the database.
    Type of Medium: Online Resource
    ISSN: 1792-8036 , 2241-4487
    URL: Article
    DOI: 10.48084/etasr.3036
    Language: Unknown
    Publisher: Engineering, Technology & Applied Science Research
    Publication Date: 2019
    detail.hit.zdb_id: 2679097-X
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
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