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Online since: July 2013
Jun Zhang and Qi Luo International Committee Keynote Speaker and Honorary Chairman Jun Wang, The Chinese University of Hong Kong, Hong Kong Gerald Schaefer, Loughborough University,UK Chin-Chen Chang, Feng Chia University, Taiwan General Chairs Jun Zhang, Huazhong University of Science and Technology, China Qi Luo, Wuhan Insitute of Technology, China Program Chairs Yiyi Zhouzhou, Azerbaijan State Oil Academy,Azerbaijan Guohui Yang, HKISS, Hong Kong Riza Esa, Kuala Lumpur ACM Chapter, Malaysia Xiang Lee, Hong Kong Education Society, Hong Kong Program Members Jiang Chi, Peking University, China Yu Tian, Anyang Normal University , China Yijin Wu, Huazhong Normal University, China Zhongming Yao, Qiqihar University, China Yun Zhang, Southwestern University of Finance and Economics, China Xiaolan Liu, Beijing Normal University, China Wang Jianfen, Jiangsu Universty, China Jinzhuo Liu, Henan University, China Wang Yunyin, XinJiang University
Online since: October 2009
Authors: Yang Wang, Xue Feng Wu, Hong Zhi Zhang, Chao Xie
Simulation and Experimental Study on Temperature Fields for Laser Assisted Machining of Silicon Nitride Wu Xue-feng1,a, Zhang Hong-zhi1,b, Wang Yang 1,c and Xie Chao1,d 1 School of Mechatronics Engineering, Harbin Institute of Technology, Harbin, China a xuefeng@hit.edu.cn, bzhz-hit@163.com, cwyyh@hit.edu.cn, dxiechao1234@sohu.com Keywords: Laser assisted machining; Silicon nitride; Temperature fields; Finite element analysis Abstract.
Then the model was extended to semi-transparent ceramics and complex feature workpiece by Pfefferkorn and Tian[6,7], respectively.
[6] Y.Tian and Y.C.Shin: Journal of Manufacturing Science and Engineering 128(2006), P. 425-434
Online since: March 2015
Authors: Zao Yang, Quan Hui Liu, Tai Hong Wang, Yun Bing Wang
Yang, Room-temperature ultraviolet nanowire nanolasers, Science 292 (2001), 1897 [2] B.
Tian, J.
Yang, Dendritic Nanowire Ultraviolet Laser Array, J.
Tian, Grain size control and gas sensing properties of ZnO gas sensor, Sens.
Online since: August 2013
Authors: Li Tian, An Zhao Cao, Qiang Qiang Wang
Research on SVM Cell Concentration Prediction of Erythromycin Fermentation Process Based on Ant Colony Optimization Li Tian 1, a, Qiangqiang Wang 1,b , Anzhao Cao2,c 1 School of Electrical Engineering, Anhui Polytechnic University, Wuhu,241000,China 2 School of Management, Anhui Polytechnic University, Wuhu, 241000, China awangqiang19890801@163.com,btli1116@163.com, c294710746@qq.com Keywords: Support Vector Machine (SVM), Erythromycin Fermentation, Ant Colony Optimization (ACO) Algorithm Abstract: Due to disadvantages of nonlinear, complexity and uncertainty of fermentation process, a research on cell concentration prediction of erythromycin fermentation process was carried out.
References [1] Lei Li, Yongli Ren, Yang Li, Chunyu Fang and Yong Zuo: China Brewing, Vol.31 No.9 (2012), p.13~16.
(In Chinese) [5] Yong Zuo, Yang Li and Hui Xie: Journal of Sichuan University of Science & Engineering ( Natural Science Edition), Vol.25 No.4 (2012), p.17~20.
Online since: December 2012
Authors: Ji Ming Bian, He Qiu Zhang, Li Zhong Hu, Xiu Ming Ren, Jiu Yu Ji, Jun Lin Liu, Hong Wei Liang, Ying Min Luo, Yang Li
The effect of cooling rate during the hydrothermal growth on the tip geometry of ZnO nanorods Heqiu zhang1,2a, Xiuming Ren1,2, Lizhong Hu1,2, Jiuyu Ji1,2, Yang Li1,2, Junlin Liu1,2, Hongwei Liang1,2, Yingming Luo1,2, Jiming Bian1,2 1 School of Physics and Optoelectronic Technology, Dalian University of Technology, Dalian 116024, People’s Republic of China 2 The Key Laboratory for Micro/Nano Technology and System of Liaoning province, Dalian 116024, People’s Republic of China ahqzhang@dlut.edu.cn Keywords: ZnO, cooling rate, ultra-sharp, nanotip, hydrothermal growth.
Tian, J.
Tian and Y.
Yang, C.
Online since: February 2009
Authors: Shi Chun Yang, Wen Hui Li, Sheng Qiang Yang, Xiu Hong Li
Simulation Research on the Swirling Airflow Compounded with Magnetic-Field Finishing LI Xiuhong1,a,YANG Shengqiang1,b,YANG Shichun 1,c ,LI Wenhui1,d 1Institute of Mechanical Engineering, Taiyuan University of Technology, Taiyuan, 030024, China a xhli7489@sina.com, btutysq@263.net.cn, Cyangsc@tyut.edu.cn, dwenhui_li7190@126.com Keywords: Swirling airflow, two-phase flow, Finishing, Simulation, Magnetic-field Abstract.
[4] S.C.Yang, S.Q.Yang, T.M.Wang: Processing and abrasives ( 2002), pp.13-16
[5] S.C.Yang, M.Z.Wang: Surface Quality and Finishing Technology, (Machinery Industry Press, Beijing 2000)
[6] M.B.Tian: Magnetic Materials (Tsinghua University Press, Beijing 2000).
Online since: January 2011
Authors: Wen Ya Tian, Cai Liang Shen, Wen Fei Song
A Semantic Metadata Describing Video Information Based On Ontology Song Wenfei1, a, Tian Wenya 2,b and Shen Cailiang 3,c 1,3Zhejiang Industry Polytechnic College, Shaoxing Zhejiang, China 2 Zhejiang Economic & Trade Polytechnic College,Hangzhou Zhejiang, China asong_wenfei@126.com, btianwy38@msn.com, c77520859@qq.com Keywords: Semantic Metadata, Ontology, Video Information, Peking Opera Abstract.
According to their artistic style, Peking Opera can be divided into serverial schools, such as Yang School represented by Yang Xiaolou, Mei School represented by Mei Lanfang, etc.
SI(i) people: Yang Yuhuan start_time:1:35 end_time:1:45 performing method:performing performing content:lying fish SI(i+1) people: Yang Yuhuan start_time:2:35 end_time:2:45 performing method:performing performing content:lying fish Fig. 7 Instance of Semantic Indexing Table 1 indexing the video with semantic metadata [Time(minitue:second)] [people] [Peforming method] [Peforming content] [0:00] [Yang Yuhuan] [dancing] [1:35-1:45] [Yang Yuhuan] [performing] [lying fish] [2:35-2:45] [Yang Yuhuan] [performing] [lying fish] [2:35-2:45] [Yang Yuhuan] [performing] [smelling flower] [3:22] [Pei Lishi] [performing] [entrance] [3:25-3:27] [Pei Lishi] [musical dialogues] [libretto] [3:37-3:39] [Pei Lishi] [musical dialogues] [libretto] [3:54-4:00] [Pei Lishi] [musical dialogues] [libretto] [4:25-4:45] [Yang Yuhuan] [performing] [biting cup] [4:47] [Pei Lishi] [performing] [exit] [4:54] [Gao Lishi] [performing] [entrance] [4:54-5:00] [Gao Lishi] [musical
dialogues] [libretto] [5:10-5:13] [Gao Lishi] [musical dialogues] [libretto] [5:22-5:30] [Gao Lishi] [musical dialogues] [libretto] [5:44-6:04] [Yang Yuhuan] [performing] [biting cup] [6:05] [Gao Lishi] [performing] [exit] [6:13] [ayahs] [performing] [entrance] [6:14-6:17] [ayahs] [musical dialogues] [libretto] [6:23-6:26] [ayahs] [musical dialogues] [libretto] [6:33-6:36] [ayahs] [musical dialogues] [libretto] [6:55-7:23] [Yang Yuhuan] [performing] [biting cup] Semantic medata is extracted by following steps: 1) To extract the scenario, people, schools to describe the video segment; 2) To segment the video and extract the key frame; 3) To compare the key frame with ontology library and extract the semantic metadata of performing, dancing and martial arts; 4) To recognise the caption from the key frame and extract the libretto of singing and musical dialogues.
If the users want to search the video segmentation about Yang Yuhuan’s lying fish, the video library will return three segmentations of “ The Drunken Beauty” (1:35-1:45,2:35-2:45) by indexing the semantic metadata, and even return other video segmentations performing by other aritists.
Online since: February 2015
Zhaojun Yang, Jilin University, China Prof.
Xuemin Tian, China University of Petroleum, China Prof.
Online since: July 2015
Zhaojun Yang, Jilin University, China Prof.
Xuemin Tian, China University of Petroleum, China Prof.
Online since: November 2011
Authors: Qi Shi, Hui Hui Zhao, Jian Xin Chen, Yi Yang, Cheng Long Zheng, Wei Wang
Recognition Patterns Construction of Coronary Heart Disease Patients with Qi Deficiency Syndrome Based on Artificial Neural Network Qi Shia, Huihui Zhaob, Jianxin Chenc, Yi Yang, Chenglong Zheng, Wei Wang* Beijing University of Chinese Medicine, Beijing, 100029, China a Shiqi19830910@163.com,b zhaohh@bucm.edu.cn,c cjx@bucm.edu.cn,* Corresponding Author Keywords: Recognition pattern; Coronary heart disease; Qi deficiency syndrome; Artificial neural networks; Traditional Chinese medicine Abstract: Coronary heart disease (CHD), called “thoracic obstruction” in TCM, is one of the most important types of heart disease for its high incidence and mortality.
Yang, W.
P Tian, Y.
Xie,H.M Tian,et al.
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