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        Construction of an Automatic Scoring Model for English Interpretations by using a Recurrent Neural Network

        Haiyang Cao 대한전자공학회 2023 IEIE Transactions on Smart Processing & Computing Vol.12 No.4

        Automatic scoring of English interpretations is a technology that evaluates content accuracy and pronunciation. The technology is of great practical significance for English interpreting tests. This paper uses DNN-HMM speech recognition to evaluate the interpretations of English translators. Post-probabilistic features of phonemes to the speech vector are decoded in the sub-recognition framework. The correlation between posterior probability and manual scoring is analyzed. The calculation of a posterior probability feature depends highly on recognition performance. To improve recognition performance, a Recurrent Neural Network (RNN) is used to construct speech recognition models. Through comparison experiments, results show that the correlation between the RNN model’s scoring method and manual scoring is 0.781. The recognition accuracy of the RNN model is 0.923 on the training set and 0.915 on the test set. The posterior probability error of the RNN model is 0.028 for the training set and 0.033 for the test set. Therefore, the RNN structure has more reasonable and scientific scoring performance in automatic English interpretation.

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        Study on Preparation and Properties of PAI Materials Containing Trifluoromethyl in Side Chain

        Haiyang Yang,Duxin Li,Jun Yang,Jin Wang,Shunchang Gan,Kaikai Cao,Yufeng Liu 한국고분자학회 2021 Macromolecular Research Vol.29 No.10

        Polyamide-imide (PAI) materials with good heat resistance, excellent friction, wear properties, and low water absorption were prepared by acyl chloride process with diamine monomer containing trifluoromethyl in the side chain. The results showed that PAI prepared from 2,2'-bis(trifluoromethyl)-[1,1'-biphenyl]- 4,4'-diamine without flexible hinge group had the best heat resistance, with T g as high as 302.6℃ and T d5% as 490.1℃. With the increase of the proportion of flexible hinge groups in diamine monomer, the thermal properties of PAI materials would decrease. The wear mechanism of PAI prepared from 2,2'-bis(trifluoromethyl)- [1,1'-biphenyl]-4,4'-diamine was mainly adhesive wear. With the increase of the proportion of flexible hinge groups in diamine monomer, the wear mechanism would change from abrasive wear, slight adhesive wear to severe adhesive wear. The friction coefficient and wear loss of PAI prepared by 1,4-bis(4-amino-2-trifluoromethylphenoxy) benzene were the smallest, which were 0.4706 and 3.5, respectively. PAI synthesized by diamine monomer containing trifluoromethyl had low water absorption and high water contact angle. With the increasing flexibility of monomer containing trifluoromethyl diamine, the elongation at break and tensile strength of the material increased gradually.

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        Autopilots for Small Unmanned Aerial Vehicles: A Survey

        HaiYang Chao,YongCan Cao,YangQuan Chen 제어·로봇·시스템학회 2010 International Journal of Control, Automation, and Vol.8 No.1

        UAV users. The UAV flight control basics are introduced first. The radio control system and autopilot control system are then explained from both the hardware and software viewpoints. Several typical off-the-shelf autopilot packages are compared in terms of sensor packages, observation approaches and controller strengths. Afterwards some open source autopilot systems are introduced. Conclusion is made with a summary of the current autopilot market and a remark on the future development.

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