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        A many-objective evolutionary algorithm based on integrated strategy for skin cancer detection

        ( Yang Lan ),( Lijie Xie ),( Xingjuan Cai ),( Lifang Wang ) 한국인터넷정보학회 2022 KSII Transactions on Internet and Information Syst Vol.16 No.1

        Nowadays, artificial intelligence promotes the rapid development of skin cancer detection technology, and the federated skin cancer detection model (FSDM) and dual generative adversarial network model (DGANM) solves the fragmentation and privacy of data to a certain extent. To overcome the problem that the many-objective evolutionary algorithm (MaOEA) cannot guarantee the convergence and diversity of the population when solving the above models, a many-objective evolutionary algorithm based on integrated strategy (MaOEA-IS) is proposed. First, the idea of federated learning is introduced into population mutation, the new parents are generated through sub-populations employs different mating selection operators. Then, the distance between each solution to the ideal point (SID) and the Achievement Scalarizing Function (ASF) value of each solution are considered comprehensively for environment selection, meanwhile, the elimination mechanism is used to carry out the select offspring operation. Eventually, the FSDM and DGANM are solved through MaOEA-IS. The experimental results show that the MaOEA-IS has better convergence and diversity, and it has superior performance in solving the FSDM and DGANM. The proposed MaOEA-IS provides more reasonable solutions scheme for many scholars of skin cancer detection and promotes the progress of intelligent medicine.

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        Microwave hydrothermal synthesis and temperature sensing behavior of Lu2Ti2O7:Yb3þ/Er3þ nanophosphors

        Jinsheng Liao,Qi Wang,Lifang Lan,Jiangfei Guo,Liling Nie,Suijun Liu,He-Rui Wen 한국물리학회 2017 Current Applied Physics Vol.17 No.3

        Lu2Ti2O7:Yb3þ/Er3þ (LTO:Yb3þ/Er3þ) nanophosphors codoped with Yb3þ (8e20 at%) and Er3þ ions (0.5 e4 at%) were synthesized by a microwave hydrothermal process. Under the 980 nm excitation, the sample gives a set of upconversion light: very strong red emissions near 661 nm (4F9/2 / 4I15/2), weak green around 523 nm and 545 nm (2H11/2/4I15/2 and 4S3/2/4I15/2, respectively). The optimum doping concentrations of Er3þ and Yb3þ for the highest emission intensity were determined by photoluminescence (PL) analyses. Concentration dependent studies revealed that the optimal composition was realized for the 12 at% Yb3þ and 2.0 at% Er3þ-doping concentration with a strong emission. A possible UC mechanism for LTO:Yb3þ/Er3þ is discussed via the change of the pump power. The temperature dependence of the fluorescence intensity ratios (FIR) for the two green UC emission bands peaked at 523 and 545 nm was studied in the range of 298e573 K under excitation by a 980 nm diode laser and the maximum sensitivity was approximately 0.00313 K『1 at 536 K. This indicates that LTO:Yb3þ/Er3þ nanophosphors are potential candidates for optical temperature sensors with high sensitivity.

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