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    Anonymization algorithm based on time density for data stream by Jing XIE, Jian-pei ZHANG, Jing YANG, Bing ZHANG

    Published 2014-11-01
    “…Aim to address the problem of anonymization on data streams,an anonymization algorithm based on time density for data stream was proposed.Time weight and time density were designed for describing the data stream’s temporal,when the published clusters reach the threshold,it will delete the minimum time density cluster to ensure the availability of published clusters.Furthermore,in order to maintain the higher efficiency,the algorithm scans the data only once to satisfy the anonymization requirements for speeding up.The experimental results on the real dataset show that the algorithm is efficient and effective meanwhile the quality of the output data.…”
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    Evaluation of the Energy Efficiency of Industrial Furnaces Based on the Modeling of Fuel Consumption Modes by Ya. L. Shenets

    Published 2022-04-01
    “…The presented methods and the numerical calculations obtained for reducing the energy efficiency of a glass furnace make it possible to predict fuel consumption and form a correct annual application for its required volume to a gas supply organization, as well as evaluate the energy efficiency of production operating an industrial furnace and calculate the energy consumption rate for the output of a unit of production. …”
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    Analisa Perbandingan Kinerja Pelayanan Transportasi Online Roda Empat terhadap Masyarakat Kota Padang by Hendra Gunawan, Bayu Martanto Adji, Muhammad Setia Budi Idaman

    Published 2023-12-01
    “…Pengumpulan data dilakukan dengan menggunakan kuisioner, dengan responden sebanyak 150 orang, yang merupakan pengguna layanan transportasi online roda empat di Kota Padang. …”
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    KNOWLEDGE AND USAGE OF THE SEVEN BASIC QUALITY CONTROL TOOLS BY PRODUCERS OF PRECAST CONCRETE PRODUCTS IN GHANA by Emmanuel ADINYIRA, Joshua AYARKWA, Isaac AIDOO

    Published 2014-12-01
    “…The study revealed very limited levels of both knowledge and usage of the said tools by these organisations even though their perception of quality was very good. …”
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    RESEARCH ON ROLLING BEARING FAULT DIAGNOSIS BASED ON MA OPTIMIZATION OF CNN by TIAN LiYong, ZHAO JianJun, YU Ning

    Published 2024-08-01
    “…Aiming at the high dependence of super parameter selection on artificial experience in rolling bearing state identification based on convolution neural network(CNN),a fault diagnosis model(CNN⁃MA)based on mayfly algorithm(MA)was proposed.Firstly,the model used the powerful optimization ability of MA,took the diagnostic accuracy of CNN as the optimization objective,and adaptively adjusted the super parameters in CNN.Secondly,the normalized original signal image set was used to preserve the characteristics of the signal as much as possible.Finally,in order to evaluate the effectiveness of the parameters in the optimization model,compared with the CNN model optimized by particle swarm optimization(PSO)algorithm.The results show that the proposed model has more stable performance,higher recognition accuracy and good anti⁃noise ability.It fully shows the feasibility and reliability of CNN⁃MA model in fault diagnosis of rolling bearings.…”
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