個(gè)人簡(jiǎn)介
朱耀麟,西安工程大學(xué)電子信息學(xué)院教授,畢業(yè)與上海大學(xué)智能制造及機(jī)器人重點(diǎn)實(shí)驗(yàn)室通信息與通信工程專(zhuān)業(yè)博士,曾在西安理工大學(xué)電子科學(xué)與技術(shù)博士后,西北工業(yè)大學(xué)電子科學(xué)與技術(shù)從事博士后研究。近年來(lái),先后主持省級(jí)科研項(xiàng)目3項(xiàng),廳局級(jí)項(xiàng)目4項(xiàng),市級(jí)及橫向項(xiàng)目20余項(xiàng);發(fā)表論文50余篇(其中SCI檢索7篇,EI檢索11篇);曾在一區(qū)期刊Journal of King Saud University - Computer and Information Sciences論文1篇,一區(qū)期刊Journal of Big Data論文1篇,國(guó)際紡織領(lǐng)域國(guó)際一區(qū)期刊Textile Research Journal 發(fā)表論文1篇,三區(qū)期刊International Journal of Clothing Science and Technology論文1篇,三區(qū)期刊Journal of Engineered Fibers and Fabrics論文2篇。獲得陜西省科學(xué)技術(shù)三等獎(jiǎng)1項(xiàng),陜西省高等學(xué)??茖W(xué)技術(shù)二等獎(jiǎng)1項(xiàng),西安市科技進(jìn)步三等獎(jiǎng)1項(xiàng),陜西省紡織工程學(xué)會(huì)學(xué)術(shù)會(huì)議論文二等獎(jiǎng)、三等獎(jiǎng)各1項(xiàng),授權(quán)發(fā)明專(zhuān)利4項(xiàng),軟件著作權(quán)1項(xiàng)。陜西省高??茀f(xié)聯(lián)合會(huì)第二屆理事會(huì)理事、中國(guó)通信學(xué)會(huì)會(huì)員、中國(guó)紡織工程學(xué)會(huì)高級(jí)會(huì)員、西安市青年科協(xié)會(huì)員。曾經(jīng)在德國(guó)紡織領(lǐng)域知名大學(xué)羅伊特林根大學(xué)信息虛擬-現(xiàn)實(shí)實(shí)驗(yàn)室從事訪(fǎng)學(xué)研究,師從上海大學(xué)通信信號(hào)處理和只能信息系統(tǒng)方勇教授,在圖像處理及神經(jīng)網(wǎng)絡(luò)及其應(yīng)用方面積累了較好的研究基礎(chǔ),為解決本課題的關(guān)鍵性問(wèn)題打下了堅(jiān)實(shí)的理論基礎(chǔ)。
主要研究方向
通過(guò)分析纖維的形態(tài)、化學(xué)成分等方面的特征,開(kāi)發(fā)出各種羊絨羊毛纖維纖維快速識(shí)別技術(shù)。
主要論文/著作
1、SCI論文:
(1)Zhu Y, Duan J, Li Y, et al. Image classification method of cashmere and wool based on the multi-feature selection and random forest method[J]. Textile Research Journal, 2022, 92(7-8): 1012-1025.
(2)Zhu Y, Duan J, Wu T. Animal fiber imagery classification using a combination of random forest and deep learning methods[J]. Journal of Engineered Fibers and Fabrics, 2021, 16: 15589250211009333.
(3)Zhu Y, JiaYI H, Li Y, et al. Image identification of cashmere and wool fibers based on the improved Xception network[J]. Journal of King Saud University-Computer and Information Sciences, 2022, 34(10): 9301-9310.
(4)Zhu Y, Huang J, Wu T, et al. Identification method of cashmere and wool based on texture features of GLCM and Gabor[J]. Journal of Engineered Fibers and Fabrics, 2021, 16: 1558925021989179.
(5)Zhu Y, Zhao L, Chen X, et al. Identification of cashmere and wool based on LBP and GLCM texture feature selection[J]. Journal of Engineered Fibers and Fabrics, 2023, 18: 15589250221146548.
(6)Zhu Y, Zhao L, Chen X, et al. Animal fiber recognition based on feature fusion of the maximum inter-class variance[J]. Autex Research Journal, 2023, 23(4): 560-566.
(7)Zhu Y, Liu R, Hu G, et al. Accurate identification of cashmere and wool fibers based on enhanced ShuffleNetV2 and transfer learning[J]. Journal of Big Data, 2023, 10(1): 152.
(8)Zhu Y, Guan H. Optical communication equalized technique suitable for high-speed transmission[J]. Modern Physics Letters B, 2017, 31(19-21): 1740048.
(9)Zhu Y, Tian L, Wan T. Automatic polygon mesh repair and simplification for three-dimensional human modeling[J]. Modern Physics Letters B, 2017, 31(19-21): 1740077.
2、著作:<<大氣激光信道傳輸?shù)奶亟橘|(zhì)影響及其信號(hào)處理>>
3、發(fā)明專(zhuān)利:
(1)直熱式空氣能熱水器PID恒溫調(diào)節(jié)控制系統(tǒng), 授權(quán)日期:2015-09-09 專(zhuān)利號(hào):ZL201310086056.9
(2)基于模糊控制器的自調(diào)勻整控制系統(tǒng)及控制方法,授權(quán)日期:2013-01-09 專(zhuān)利號(hào):ZL201010531852.5
(3)基于FPGA的自調(diào)勻整控制系統(tǒng)及控制方法,授權(quán)日期:2013-03-06 專(zhuān)利號(hào):ZL201010531855.9
(4)基于增強(qiáng)現(xiàn)實(shí)技術(shù)的古代文物場(chǎng)景快速渲染方法,授權(quán)日期:2017-01-18 專(zhuān)利號(hào):ZL201310418407.1
(5)基于LZHUF的嵌入式針織系統(tǒng)控制數(shù)據(jù)壓縮方法,授權(quán)日期:2019-07-26 專(zhuān)利號(hào):ZL201710384956.X
(6)一種基于Criminisi 算法的圖像修復(fù)方法,授權(quán)日期:2023-02-12 專(zhuān)利號(hào):201811582782.9
(7)一種快速邊緣保留的人臉美化方法,授權(quán)日期:2023-02-12 專(zhuān)利號(hào):201811602175.4
(8)基于優(yōu)化BP神經(jīng)網(wǎng)絡(luò)的長(zhǎng)絲恒張力控制方法,授權(quán)日期:2022-11-25 專(zhuān)利號(hào):ZL2020111 47183
獲獎(jiǎng)情況
榮譽(yù)或獎(jiǎng)勵(lì)名稱(chēng) 授予單位 榮譽(yù)或獎(jiǎng)勵(lì)級(jí)別 授予日期
陜西省高等學(xué)校科學(xué)技術(shù)二等獎(jiǎng) 陜西省科技廳 省部級(jí) 2016-05-12
陜西省科學(xué)技術(shù)獎(jiǎng)三等獎(jiǎng) 陜西省科技廳 省部級(jí) 2019-04-24
西安市科學(xué)技術(shù)獎(jiǎng)勵(lì)三等獎(jiǎng) 西安市科技局 廳局級(jí) 2018-11-29
運(yùn)營(yíng)機(jī)構(gòu):鄂爾多斯國(guó)家級(jí)文化和科技融合示范基地管委會(huì)
Email:ordoswh123@163.com 服務(wù)電話(huà):0477-8394929