In this work, the process of adhesive stamp mass-transfer of micro light-emitting diode (micro-LED) is optimized by a Support Vector Machine (SVM) model. The pickup experiments have been performed repeatedly for hundreds of times from which the separation speed and the force between the stamp and the donor substrate are extracted as signal features. The SVM model with a Gaussian kernel function is designed to classify pickup results into success and failure. In addition, the optimal cost parameter C as well as the Gaussian kernel function parameter gamma (γ) has been optimized, leading to the improvement of the classification by Particle Swarm Optimization (PSO) algorithm. Finally, an 85% classification accuracy is achieved based on the SVM model, implying that more sophisticated definition of signal features is demanded in future work. INDEX TERMS Adhesive stamp, mass-transfer, micro-LEDs, support vector machine model, particle swarm optimization.
For the past few years, the transfer printing method has been developed and has secured numerous advantages. Here, via both experiments and analyses, we have focused on identifying key parameters and optimizing their values in the fabrication process of stamps for transfer-printing micro-devices. Specifically, the elastic modulus of posts is measured using the atomic force microscope and the Derjaguin, Muller, and Toporov model. Based on mold morphologies data, we subsequently explore the law of photoresist development under different design widths as well as development time, establish mathematical models, and offer relevant explanations for the formation of various developmental topographies. Furthermore, the relationship between the elastic modulus and these stamp-fabrication parameters has also been analyzed and confirmed. Hopefully, the proposed work can provide the guidance for fabricating reliable stamps in the future.
This paper introduces a backscatter link frequency (BLF) algorithm featuring high stability for passive UHF RFID tags, which is fully compatible with Information technology -Radio frequency identification-Air interface protocol at 800/900 MHz(GB/T 29768-2013) called National Protocols. Not only are constraint conditions of backscatter link communication taken into account, but also influences of system clock error, counting errors and dividing errors are considered. What's more, the certain range of clock frequency is provided by the proposed algorithm and the BLF keeps stable. Simulation results show that the produced backscatter link frequency errors is less than 20% with the system clock from 1.2MHz to 4MHz.
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