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- 저자 : Meiyu Du (검색결과 4 건)
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Image Semantic Description and Automatic Semantic Annotation
Liang Meiyu,Du Junping,Jia Yingmin,Sun Zengqi 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10
Making the semantic description and automatic semantic annotation of the image which contains rich contents and intuitive expression is a research subject that is challenging. It is a key technology of realizing fast and effective image retrieval and a research focusing on cross media mining. Also it has great application value in various kinds of fields. This paper studies and discusses image media semantic description and automatic semantic annotation. By extracting SIFT visual features, we make the description of the image semantic, then establish the association between local image visual features and semantic keywords, and finally realize the image to the text feature mapping and the automatic semantic annotation. The simulation experiment result shows that this method can accomplish the image automatic semantic annotation efficiently, and also it can reach a higher accuracy.
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Study on Feature Dimension Reduction Method of Emergency Topic Model Based on Improved CHI and LSA
Liang Meiyu,Du Junping,Jia Yingmin,Sun Zengqi 제어로봇시스템학회 2011 제어로봇시스템학회 국제학술대회 논문집 Vol.2011 No.10
According to some flaws in the existing feature dimension reduction methods, a new method of two-step combined feature dimension reduction based on improved CHI algorithm and LSA algorithm is proposed in this paper. First, apply the improved CHI algorithm to realize the initial feature selection, resolve the problem of high dimension and sparseness in the feature space to a certain extent, and then use the LSA algorithm to extract the semantic structures in the initial feature space, and map it into the semantic feature space and realize the second dimension reduction. Experimental results indicate that this method of feature dimension reduction has a better performance, further improving the effect of topic tracking.
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Zhang Chen,Zhang Chongyu,Du Meiyu,Wang Yunpeng,Zhang Guiguo,이윤경 아세아·태평양축산학회 2021 Animal Bioscience Vol.34 No.4
Objective: The effects of adding fermented feed to a pelleted total mixed ration (PTMR) on the growth performance of lambs remain unclear. The present study aimed to investigate the feed efficiency and productivity of lambs that were fed PTMR containing fermented soybean meal (FSM) or wheat bran (FWB). Methods: Sixty 90-d-old hybrid lambs were randomly allocated into 12 pens (5 lambs/pen) that were randomly assigned to 4 dietary treatments (3 pens/treatment) with PTMR (basal diet), 2% FSM, or Lactobacillus- or yeast-FWB (L-FWB or Y-FWB) addition in the basal diet. Results: The findings showed that lambs fed 2% FSM supplemented diet had enhanced (p<0.05) average daily gain (ADG) and carcass yield (p = 0.015), while they had a decreased (p = 0.006) feed conversion ratio compared to that of other three groups. Inclusion of FSM or FWB in PTMR improved (p<0.05) the nutrient digestibility, while it reduced the urea nitrogen content in serum compared to the PTMR group. Additionally, the decreased ratio of N excretion to ADG (p<0.01) was observed with FSM and L-FWB supplementation compared with the PTMR and Y-FWB groups. Conclusion: In conclusion, feeding the fermented feed-supplemented diet improved nutrient digestibility and growth performance, and 2% FSM-supplemented diet exhibited superior production-promoting efficiency to lambs. Objective: The effects of adding fermented feed to a pelleted total mixed ration (PTMR) on the growth performance of lambs remain unclear. The present study aimed to investigate the feed efficiency and productivity of lambs that were fed PTMR containing fermented soybean meal (FSM) or wheat bran (FWB).Methods: Sixty 90-d-old hybrid lambs were randomly allocated into 12 pens (5 lambs/pen) that were randomly assigned to 4 dietary treatments (3 pens/treatment) with PTMR (basal diet), 2% FSM, or <i>Lactobacillus</i>- or yeast-FWB (L-FWB or Y-FWB) addition in the basal diet.Results: The findings showed that lambs fed 2% FSM supplemented diet had enhanced (p<0.05) average daily gain (ADG) and carcass yield (p = 0.015), while they had a decreased (p = 0.006) feed conversion ratio compared to that of other three groups. Inclusion of FSM or FWB in PTMR improved (p<0.05) the nutrient digestibility, while it reduced the urea nitrogen content in serum compared to the PTMR group. Additionally, the decreased ratio of N excretion to ADG (p<0.01) was observed with FSM and L-FWB supplementation compared with the PTMR and Y-FWB groups.Conclusion: In conclusion, feeding the fermented feed-supplemented diet improved nutrient digestibility and growth performance, and 2% FSM-supplemented diet exhibited superior production-promoting efficiency to lambs.
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Optimization of Stamping Process Parameters Based on Improved GA-BP Neural Network Model
Yanmin Xie,Wei Li,Cheng Liu,Meiyu Du,Kai Feng 한국정밀공학회 2023 International Journal of Precision Engineering and Vol.24 No.7
Reasonable process parameters are the key measures to ensure the quality of stamping products. In order to reduce the risk of cracking and wrinkling of stamping products, an improved genetic algorithm is proposed and used to optimize the weights and thresholds of the BP neural network(BPNN). A surrogate model combining an improved genetic algorithm and BPNN(IGA-BPNN)is developed. Taking double C as the research object, the training samples and test samples are extracted through Latin hypercube. The training output of IGA-BPNN model is obtained by AutoForm simulation, and the mapping relationship between process parameters and forming quality is established. Then the mapping relationship is optimized by IGA to obtain the optimal process parameters. The results show that this method reduces the wrinkling of the flange edge of double C and obviously improves the forming quality.
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