Jiangxi University of Science and Technology

About: Jiangxi University of Science and Technology is a education organization based out in Ganzhou, China. It is known for research contribution in the topics: Microstructure & Alloy. The organization has 6958 authors who have published 5576 publications receiving 50650 citations.

An Automatic Garbage Classification System Based on Deep Learning

Abstract: Garbage classification has always been an important issue in environmental protection, resource recycling and social livelihood. In order to improve the efficiency of front-end garbage collection, an automatic garbage classification system is proposed based on deep learning. Firstly, the overall system of the garbage bin is designed, including the hardware structure and the mobile app. Secondly, the proposed garbage classification algorithm is based on ResNet-34 algorithm, and its network structure is further optimized by three aspects, including the multi feature fusion of input images, the feature reuse of the residual unit, and the design of a new activation function. Finally, the superiority of the proposed classification algorithm is verified with the constructed garbage data. The classification accuracy of the proposed algorithm is enhanced by 1.01%. The experimental results show that the classification accuracy is as high as 99%, the classification cycle of the system is as quick as 0.95 s.

Effect of incorporation of nitrogen on calcium hexaaluminate

Abstract: Ions doping is regarded as an efficient approach to improve the density of calcium hexaaluminate (CA6) In this work, different amounts of N3− have been tried to dope into CA6 (CaAl12O(19-15x)Nx, x = 0-08) by pressureless sintering under N2 at 1750 °C using CaO, Al2O3 and Al fine powder as the raw materials The results of the synthesized specimens characterized by XRD in combination with SEM and EDS show that a small amount of N3- up to x = 030 can be incorporated into CA6, increasing the thickness of the CA6 grains Besides, first-principle calculation and structure refinement analysis suggest that the structure formula of the N-doped CA6 is CaAl12O1858N028, and it is preferential for N3− to substitute O(3) ions near Al(2) in the spinel block Such a substitution occurs in the Al-O (Al2-O3) bond parallel to c axis, and the bond lengths for tetrahedral Al-N bonds are larger than those of Al-O bonds, showing a promising potential of N3− for increasing the c-axis crystallization thickness of CA6