An internal defect meter is an instrument to detect the internal inclusion defects of cold-rolled strip steel.The detection accuracy of the equipment can be evaluated based on the similarity of the multiple detection ...An internal defect meter is an instrument to detect the internal inclusion defects of cold-rolled strip steel.The detection accuracy of the equipment can be evaluated based on the similarity of the multiple detection data obtained for the same steel coil.Based on the cosine similarity model and eigenvalue matrix model,a comprehensive evaluation method to calculate the weighted average of similarity is proposed.Results show that the new method is consistent with and can even replace artificial evaluation to realize the automatic evaluation of strip defect detection results.展开更多
Electrical discharge machining（EDM） is a promising non-traditional micro machining technology that offers a vast array of applications in the manufacturing industry. However, scale effects occur when machining at th...Electrical discharge machining（EDM） is a promising non-traditional micro machining technology that offers a vast array of applications in the manufacturing industry. However, scale effects occur when machining at the micro-scale, which can make it difficult to predict and optimize the machining performances of micro EDM. A new concept of ＂scale effects＂ in micro EDM is proposed, the scale effects can reveal the difference in machining performances between micro EDM and conventional macro EDM. Similarity theory is presented to evaluate the scale effects in micro EDM. Single factor experiments are conducted and the experimental results are analyzed by discussing the similarity difference and similarity precision. The results show that the output results of scale effects in micro EDM do not change linearly with discharge parameters. The values of similarity precision of machining time significantly increase when scaling-down the capacitance or open-circuit voltage. It is indicated that the lower the scale of the discharge parameter, the greater the deviation of non-geometrical similarity degree over geometrical similarity degree, which means that the micro EDM system with lower discharge energy experiences more scale effects. The largest similarity difference is 5.34 while the largest similarity precision can be as high as 114.03. It is suggested that the similarity precision is more effective in reflecting the scale effects and their fluctuation than similarity difference. Consequently, similarity theory is suitable for evaluating the scale effects in micro EDM. This proposed research offers engineering values for optimizing the machining parameters and improving the machining performances of micro EDM.展开更多
[Objectives] A simple and reliable HPLC fingerprint method was developed for the identification of dried barks of Ilex rotunda and I. godajam. [Methods] Nine batches of dried barks of I. rotunda,and seven batches of d...[Objectives] A simple and reliable HPLC fingerprint method was developed for the identification of dried barks of Ilex rotunda and I. godajam. [Methods] Nine batches of dried barks of I. rotunda,and seven batches of dried barks of I. godajam collected from different pharmacies and arboretums in different regions of China were used to establish fingerprints. The software Similarity Evaluation System of Chromatographic Fingerprints of Traditional Chinese Medicine( 2004 A Edition) was used to evaluate the fingerprints. [Results]The fingerprints of dried barks of I. rotunda and I. godajam were established. Methodological study met the technical requirements of fingerprints. The similarities of the fingerprints of dried barks of I. rotunda and I. godajam were all more than 0. 8 and 0. 9 respectively. There were 31 and 28 common peaks in I. rotunda and I. godajam,which could be classified into two clusters by principal component analysis( PCA) and hierarchical cluster analysis. [Conclusions] The feasibility and advantages of used HPLC fingerprints were verified,and the results indicated that the HPLC fingerprint as a characteristic distinguishing method combining similarity evaluation,principal component analysis and hierarchical cluster analysis can be successfully used to identify the authenticity of dried barks of I. rotunda and I. godajam.展开更多
When dealing with the ratings from users,traditional collaborative filtering algorithms do not consider the credibility of rating data,which affects the accuracy of similarity.To address this issue,the paper proposes ...When dealing with the ratings from users,traditional collaborative filtering algorithms do not consider the credibility of rating data,which affects the accuracy of similarity.To address this issue,the paper proposes an improved algorithm based on classification and user trust.It firstly classifies all the ratings by the categories of items.And then,for each category,it evaluates the trustworthy degree of each user on the category and imposes the degree on the ratings of the user.Finally,the algorithm explores the similarities between users,finds the nearest neighbors,and makes recommendations within each category.Simulations show that the improved algorithm outperforms the traditional collaborative filtering algorithms and enhances the accuracy of recommendation.展开更多
文摘An internal defect meter is an instrument to detect the internal inclusion defects of cold-rolled strip steel.The detection accuracy of the equipment can be evaluated based on the similarity of the multiple detection data obtained for the same steel coil.Based on the cosine similarity model and eigenvalue matrix model,a comprehensive evaluation method to calculate the weighted average of similarity is proposed.Results show that the new method is consistent with and can even replace artificial evaluation to realize the automatic evaluation of strip defect detection results.
基金Supported by National Natural Science Foundation of China(Grant No.51375274)China Postdoctoral Science Foundation(Grant No.2014M561920)
文摘Electrical discharge machining（EDM） is a promising non-traditional micro machining technology that offers a vast array of applications in the manufacturing industry. However, scale effects occur when machining at the micro-scale, which can make it difficult to predict and optimize the machining performances of micro EDM. A new concept of ＂scale effects＂ in micro EDM is proposed, the scale effects can reveal the difference in machining performances between micro EDM and conventional macro EDM. Similarity theory is presented to evaluate the scale effects in micro EDM. Single factor experiments are conducted and the experimental results are analyzed by discussing the similarity difference and similarity precision. The results show that the output results of scale effects in micro EDM do not change linearly with discharge parameters. The values of similarity precision of machining time significantly increase when scaling-down the capacitance or open-circuit voltage. It is indicated that the lower the scale of the discharge parameter, the greater the deviation of non-geometrical similarity degree over geometrical similarity degree, which means that the micro EDM system with lower discharge energy experiences more scale effects. The largest similarity difference is 5.34 while the largest similarity precision can be as high as 114.03. It is suggested that the similarity precision is more effective in reflecting the scale effects and their fluctuation than similarity difference. Consequently, similarity theory is suitable for evaluating the scale effects in micro EDM. This proposed research offers engineering values for optimizing the machining parameters and improving the machining performances of micro EDM.
基金Supported by Special Project for Scientific Research of General Administration of Quality Supervision,Inspection and Quarantine of the People's Republic of China(201210209)China Agriculture Research System(CARS-21)
文摘[Objectives] A simple and reliable HPLC fingerprint method was developed for the identification of dried barks of Ilex rotunda and I. godajam. [Methods] Nine batches of dried barks of I. rotunda,and seven batches of dried barks of I. godajam collected from different pharmacies and arboretums in different regions of China were used to establish fingerprints. The software Similarity Evaluation System of Chromatographic Fingerprints of Traditional Chinese Medicine( 2004 A Edition) was used to evaluate the fingerprints. [Results]The fingerprints of dried barks of I. rotunda and I. godajam were established. Methodological study met the technical requirements of fingerprints. The similarities of the fingerprints of dried barks of I. rotunda and I. godajam were all more than 0. 8 and 0. 9 respectively. There were 31 and 28 common peaks in I. rotunda and I. godajam,which could be classified into two clusters by principal component analysis( PCA) and hierarchical cluster analysis. [Conclusions] The feasibility and advantages of used HPLC fingerprints were verified,and the results indicated that the HPLC fingerprint as a characteristic distinguishing method combining similarity evaluation,principal component analysis and hierarchical cluster analysis can be successfully used to identify the authenticity of dried barks of I. rotunda and I. godajam.
基金supported by Phase 4,Software Engineering(Software Service Engineering)under Grant No.XXKZD1301
文摘When dealing with the ratings from users,traditional collaborative filtering algorithms do not consider the credibility of rating data,which affects the accuracy of similarity.To address this issue,the paper proposes an improved algorithm based on classification and user trust.It firstly classifies all the ratings by the categories of items.And then,for each category,it evaluates the trustworthy degree of each user on the category and imposes the degree on the ratings of the user.Finally,the algorithm explores the similarities between users,finds the nearest neighbors,and makes recommendations within each category.Simulations show that the improved algorithm outperforms the traditional collaborative filtering algorithms and enhances the accuracy of recommendation.
