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Ä Ö Ü ä ö ü ß
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½ ⅓ ⅔ ¼ ¾ ⅛ ⅜ ⅝ ⅞ ¹ ² ³ ⁴ ⁿ ₁ ₂ ₃ ₄
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        Study on gesture recognition based on IIDTW algorithm

        ( Tian Pei ),( Chen Guozhen ),( Li Nianfeng ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.12

        When the length of sampling data sequence is too large, the method of gesture recognition based on traditional Dynamic Time Warping (DTW) algorithm will lead to too long calculation time, and the accuracy of recognition result is not high.Support vector machine (SVM) has some shortcomings in precision, Edit Distance on Real Sequences(EDR) algorithm does not guarantee that noise suppression will not suppress effective data.A new method based on Improved Interpolation Dynamic Time Warping (IIDTW)algorithm is proposed to improve the efficiency of gesture recognition and the accuracy of gesture recognition. The results show that the computational efficiency of IIDTW algorithm is more than twice that of SVM-DTW algorithm, the error acceptance rate is FAR reduced by 0.01%, and the error rejection rate FRR is reduced by 0.5%.Gesture recognition based on IIDTW algorithm can achieve better recognition status. If it is applied to unlock mobile phone, it is expected to become a new generation of unlock mode.

      • Optimization Analysis on Distribution of Temperature of a Corn Based on Fluent

        DanHua Zhao,GuoLin Li,NianFeng Li 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.6

        Traditional method of drying corn is using higher temperature to dry quickly. But high drying temperature can make the corn lost nutrients. Provide the foundation of designing a new corn drier which can dry corn efficient as well as sustain nutrition.Optimization analysis on distribution of temperature of a corn by Fluent. It shows that:1).Hot winds is 0.8m/s,temperature is 343K. Temperature distributions of corn is evenlier. The highest temperature is below 333K.2).More fluid inlet make corn evenlier. Change the angle between corn and velocity vector will not impact the temperature distributions of corn.

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