1、科研项目: (1)国家自然科学基金, 61502340, 边带模糊红外图像目标的最优可免域免疫因子网络提取研究。 (2)天津市自然科学基金, 18JCQNJC01000, 基于仿生免疫网络的深度模糊红外图像目标提取算法研究。 (3)中捷政府间国际科技合作项目, 基于人工免疫的序列红外图像目标提取。 (4)国家高技术研究发展计划(863计划)项目, 2006AA04Z110, 鞋类产品和谐智能CACD系统研究。 2、论文、专著: [1] Yu Xiao*, Lu Yuhua, Gao Qiang. Pipeline image diagnosis algorithm based on neural immune ensemble learning[J]. International Journal of Pressure Vessels and Piping, 2021, 189:104249. [2] Zhou Zijie, Zhang Baofeng, Yu Xiao*. Infrared Spectroscopic Image Segmentation Based on Neural Immune Network with Growing Immune Field[J]. Spectroscopy and Spectral Analysis. 2021. [3] Zhou Zijie, Zhang Baofeng, Yu Xiao*. Infrared Handprint Classification Using Deep Convolution Neural Network[J]. Neural Processing Letters, 2021(3). [4] Yu Xiao, Ye Xi, Gao Qiang. Pipeline image segmentation algorithm and heat loss calculation based on gene-regulated apoptosis mechanism[J]. International Journal of Pressure Vessels and Piping. 2019, 172: 329-336. [5] Yu Xiao, Zhou Zijie, GaoQiang, Li Dahua, KamilRiha. Infrared imagesegmentation using growing immune field and clone threshold[J]. Infrared Physics & Technology, 2018, 88: 184-193. [6] Yu Xiao, Zhou Zijie, KamilRiha. Blurred Infrared Image Segmentation Using New Immune Algorithm with Minimum Mean Distance Immune Field[J]. Spectroscopy And Spectral Analysis, 2018.11, 38(11):3645-3652. [7] Yu Xiao, Yuan Ximei, Dong Enzeng, KamilRiha. Target extraction of banded blurred infrared images by immune dynamical algorithm with two-dimensional minimum distance immune field[J]. Infrared Physics & Technology. 2016,(77): 94-99. [8] Xiao Yu. Blurred Trace Infrared Image Segmentation Based on Template Approach and Immune Factor. Infrared Physics and Technology. 2014, 67(C): 116-120. [9] Dongmei Fu, Xiao Yu*, Hejun Tong. Target Extraction of Blurred Infrared Image with an Immune Network Template Algorithm[J]. Optics & Laser Technology. 2014, 56C: 102-106. (SCI) [10] GaoQiang, LvXinxin, Yu Xiao*. A scaled multi gradient edge detection algorithm for infrared image detection[J]. 14th IEEE International Conference on Mechatronics and Automation, 2017. 3、其他成果(奖励、专利等): (1)2018年天津市科技进步二等奖 (2)2019年天津市科技进步三等奖 (3)高强;窦立祥;于晓;陈超;一种基于脑电控制的机械臂写字装置及控制方法, 2019-10-18,中国,2017103740054. (4)于晓;一种具有可控免疫生长域的红外图像目标提取方法,2019-05-23,中国, 201711101229.4. (5)于晓.基于协调免疫遗传的模糊电力设备边缘提取系统V1.0,2020SR0602895, 原始取得,2020-4-21. (6)于晓,叶溪.污水悬浮颗粒浓度检测系统软件V1.0,2019SR0603141,原始取得,2019-5-11. (7)于晓,周子杰.恶劣天气车辆提取软件V1.0,2018SR215097,原始取得, 2018-1-11. (8)于晓,吕欣欣.红外电气设备故障提取系统软件V1.0,2018SR215088,原始取得, 2018-1-11. |