Home / Journals / JQC / Vol.1, No.1, 2019
  • Open Access

    ARTICLE

    Impact Damage Identification for Composite Material Based on Transmissibility Function and OS-ELM Algorithm

    Yajie Sun1,2,*, Yanqing Yuan2, Qi Wang2, Sai Ji1,2, Lihua Wang3, Shaoen Wu4, Jie Chen2, Qin Zhang2
    Journal of Quantum Computing, Vol.1, No.1, pp. 1-8, 2019, DOI:10.32604/jqc.2019.05788
    Abstract A method is proposed based on the transmissibility function and the Online Sequence Extreme Learning Machine (OS-ELM) algorithm, which is applied to the impact damage of composite materials. First of all, the transmissibility functions of the undamaged signals and the damage signals at different points are calculated. Secondly, the difference between them is taken as the damage index. Finally, principal component analysis (PCA) is used to reduce the noise feature. And then, input to the online sequence limit learning neural network classification to identify damage and confirm the damage location. Taking the amplitude of the transmissibility function instead of the… More >

  • Open Access

    ARTICLE

    Hierarchical Geographically Weighted Regression Model

    Fengchang Xue1, 2, *
    Journal of Quantum Computing, Vol.1, No.1, pp. 9-20, 2019, DOI:10.32604/jqc.2019.05954
    Abstract In spatial analysis, two problems of the scale effect and the spatial dependence have been plagued scholars, the first law of geography presented to solve the spatial dependence has played a good role in the guidelines, forming the Geographical Weighted Regression (GWR). Based on classic statistical techniques, GWR model has ascertain significance in solving spatial dependence and spatial non-uniform problems, but it has no impact on the integration of the scale effect. It does not consider the interaction between the various factors of the sampling scale observations and the numerous factors of possible scale effects, so there is a loss… More >

  • Open Access

    ARTICLE

    Protein Secondary Structure Prediction with Dynamic Self-Adaptation Combination Strategy Based on Entropy

    Yuehan Du1,2, Ruoyu Zhang1, Xu Zhang1, Antai Ouyang3, Xiaodong Zhang4, Jinyong Cheng1, Wenpeng Lu1,*
    Journal of Quantum Computing, Vol.1, No.1, pp. 21-28, 2019, DOI:10.32604/jqc.2019.06063
    Abstract The algorithm based on combination learning usually is superior to a single classification algorithm on the task of protein secondary structure prediction. However, the assignment of the weight of the base classifier usually lacks decision-making evidence. In this paper, we propose a protein secondary structure prediction method with dynamic self-adaptation combination strategy based on entropy, where the weights are assigned according to the entropy of posterior probabilities outputted by base classifiers. The higher entropy value means a lower weight for the base classifier. The final structure prediction is decided by the weighted combination of posterior probabilities. Extensive experiments on CB513… More >

  • Open Access

    ARTICLE

    Analysis and Test on Influence Factors of Dew Drop Condensation in Dew Point Hygrometer

    Shijun Zhao1,2, Xiaoying Chen1,3,*, Xiaolei Wang1, Wenming Ji1, Zhonghua Dai4
    Journal of Quantum Computing, Vol.1, No.1, pp. 29-39, 2019, DOI:10.32604/jqc.2019.06112
    Abstract The condensation process of dew droplets is influenced by many factors. A dew point condensation image observation system was built to improve the response speed of dew point detector under different measuring conditions. The basic mechanism of dew drop condensation growth was studied and the influence of various factors on the dew drop growth rate were analyzed. And the accuracy of the influence results was verified based on the improved Hough transform circle detection. The results show that the growth rate of dew droplets is affected by ambient temperature, dew point temperature, mirror temperature and air velocity. The observed variation… More >

  • Open Access

    ARTICLE

    T Application of MES System in the Safety Management of Offshore Oil and Gas Fields

    Yong Chen1,*, Lei Cui1, Chong Wang2
    Journal of Quantum Computing, Vol.1, No.1, pp. 41-48, 2019, DOI:10.32604/jqc.2019.06283
    Abstract In order to solve the problem of data island in the safety management of offshore oil and gas fields, take full advantage of data for subsequent analysis and development, and support production safety management of oil and gas fields, the MES, which is maturely applied in manufacturing and downstream production of CNOOC (China National Offshore Oil Corporation), is introduced by the petroleum administration at the eastern South China sea. The system adopts the real-time database and relational database to collect the scattered structured data, such as evidence information of offshore oil and gas production facilities personnel, on-site hidden danger information… More >

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