In the sorting system of the production line,the object movement,fixed angle of view,light intensity and other reasons lead to obscure blurred images.It results in bar code recognition rate being low and real time bei...In the sorting system of the production line,the object movement,fixed angle of view,light intensity and other reasons lead to obscure blurred images.It results in bar code recognition rate being low and real time being poor.Aiming at the above problems,a progressive bar code compressed recognition algorithm is proposed.First,assuming that the source image is not tilted,use the direct recognition method to quickly identify the compressed source image.Failure indicates that the compression ratio is improper or the image is skewed.Then,the source image is enhanced to identify the source image directly.Finally,the inclination of the compressed image is detected by the barcode region recognition method and the source image is corrected to locate the barcode information in the barcode region recognition image.The results of multitype image experiments show that the proposed method is improved by 5+times computational efficiency compared with the former methods,and can recognize fuzzy images better.展开更多
With the development of socialism market economy, the former Bar Code For Commodity Management Measures (being called Old Measures for short hereafter) issued by the National Bureau of Quality and Technical Supervisio...With the development of socialism market economy, the former Bar Code For Commodity Management Measures (being called Old Measures for short hereafter) issued by the National Bureau of Quality and Technical Supervision can not adapt to the requirement of managing for bar code for commodity.展开更多
This paper presents a manufacturing mat er ial management system based on ERP, which is combined with industrial bar code i nformation collection and material management, and carries out extensive researc h on the sys...This paper presents a manufacturing mat er ial management system based on ERP, which is combined with industrial bar code i nformation collection and material management, and carries out extensive researc h on the system structure and function model, as well as a detailed application scheme.展开更多
Most existing 2-dimensional barcodes are designed with a fixed shape and clear area.Having a fixed shape and clear area makes the barcode difficult to lay out with other text and pictures.To solve this problem,an amor...Most existing 2-dimensional barcodes are designed with a fixed shape and clear area.Having a fixed shape and clear area makes the barcode difficult to lay out with other text and pictures.To solve this problem,an amorphous 2-dimensional barcode is presented in this paper.The barcode uses encoding graph units to encode data.There are two key points in a 2-dimensional barcode:One is the encoding graph unit,the other is its encoding rules.Because encoding graph units of a 2-dimensional barcode are surrounded by other graphics,the units should be self-positioned and distinguished from other units.This paper presents an encoding graph unit generation algorithm,which is based on genetic algorithms.Encoding rules of the barcode are also given in this paper.Those rules include data encoding rules and encoding graph unit sequence arrangement rules.Data encoding rules are used to encode data to an encoding graph unit sequence.Encoding graph unit sequence arrangement rules are used to embed the unit sequence in the target picture.In addition to those rules,it also discussed the steps to restore encoding graph unit sequence from a picture.In the experiments section of this paper,an example is provided to encode a string and embed it in a car ad picture by the barcode.According to encoding rules of the barcode,those encoding graphic units can be scattered and embedded in a picture with other graphics,so amorphous 2-dimensional barcode has no fixed shape.Take advantage of this,designer can present a more elegant design to lay out barcodes with other graphic elements.展开更多
AIM:To apply a new,integrated technique for visualizing bacterial genomes to identify novel pathogenicity islands in Helicobacter pylori(H.pylori).METHODS:A genomic barcode imaging method(converting frequency matrices...AIM:To apply a new,integrated technique for visualizing bacterial genomes to identify novel pathogenicity islands in Helicobacter pylori(H.pylori).METHODS:A genomic barcode imaging method(converting frequency matrices to grey-scale levels)was designed to visually distinguish origin-specific genomic regions in H.pylori.The complete genome sequences of the six H.pylori strains published in the National Center for Biotechnological Information prokaryotic genome database were scanned,and compared to the genome barcodes of Escherichia coli(E.coli)O157:H7 strain EDL933 and a random nucleotide sequence.The following criteria were applied to identify potential pathogenicity islands(PAIs):(1)barcode distance distinct from that of the general background;(2)length greater than 10000 continuous base pairs;and(3)containing genes with known virulence-related functions(as determined by PfamScan and Blast2GO).RESULTS:Comparison of the barcode images generated for the 26695,HPAG1,J99,Shi470,G27 and P12 H.pylori genomes with those for the E.coli and random sequence controls revealed that H.pylori genomes contained fewer anomalous regions.Among the H.pylorispecific continuous anomalous regions(longer than 20 kbp in each strain's genome),two fit the criteria for identifying candidate PAIs.The bioinformatic-based functional analyses revealed that one of the two anomalous regions was the known pathogenicity island cag PAI,this finding also served as proof-of-principle for the utility of the genomic barcoding approach for identifying PAIs,and characterized the other as a novel PAI,which was designated as tfs3-PAI.Furthermore,the cag-PAI and tfs3-PAI harbored genes encoding type IV secretion system proteins and were predicted to have potential for functional synergy.CONCLUSION:Genomic barcode imaging represents an effective bioinformatic-based approach for scanning bacterial genomes,such as H.pylori,to identify candidate PAIs.展开更多
基金This work was supported by Scientific Research Starting Project of SWPU[Zheng,D.,No.0202002131604]Major Science and Technology Project of Sichuan Province[Zheng,D.,No.8ZDZX0143]+1 种基金Ministry of Education Collaborative Education Project of China[Zheng,D.,No.952]Fundamental Research Project[Zheng,D.,Nos.549,550].
文摘In the sorting system of the production line,the object movement,fixed angle of view,light intensity and other reasons lead to obscure blurred images.It results in bar code recognition rate being low and real time being poor.Aiming at the above problems,a progressive bar code compressed recognition algorithm is proposed.First,assuming that the source image is not tilted,use the direct recognition method to quickly identify the compressed source image.Failure indicates that the compression ratio is improper or the image is skewed.Then,the source image is enhanced to identify the source image directly.Finally,the inclination of the compressed image is detected by the barcode region recognition method and the source image is corrected to locate the barcode information in the barcode region recognition image.The results of multitype image experiments show that the proposed method is improved by 5+times computational efficiency compared with the former methods,and can recognize fuzzy images better.
文摘With the development of socialism market economy, the former Bar Code For Commodity Management Measures (being called Old Measures for short hereafter) issued by the National Bureau of Quality and Technical Supervision can not adapt to the requirement of managing for bar code for commodity.
文摘This paper presents a manufacturing mat er ial management system based on ERP, which is combined with industrial bar code i nformation collection and material management, and carries out extensive researc h on the system structure and function model, as well as a detailed application scheme.
基金This work was funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions.
文摘Most existing 2-dimensional barcodes are designed with a fixed shape and clear area.Having a fixed shape and clear area makes the barcode difficult to lay out with other text and pictures.To solve this problem,an amorphous 2-dimensional barcode is presented in this paper.The barcode uses encoding graph units to encode data.There are two key points in a 2-dimensional barcode:One is the encoding graph unit,the other is its encoding rules.Because encoding graph units of a 2-dimensional barcode are surrounded by other graphics,the units should be self-positioned and distinguished from other units.This paper presents an encoding graph unit generation algorithm,which is based on genetic algorithms.Encoding rules of the barcode are also given in this paper.Those rules include data encoding rules and encoding graph unit sequence arrangement rules.Data encoding rules are used to encode data to an encoding graph unit sequence.Encoding graph unit sequence arrangement rules are used to embed the unit sequence in the target picture.In addition to those rules,it also discussed the steps to restore encoding graph unit sequence from a picture.In the experiments section of this paper,an example is provided to encode a string and embed it in a car ad picture by the barcode.According to encoding rules of the barcode,those encoding graphic units can be scattered and embedded in a picture with other graphics,so amorphous 2-dimensional barcode has no fixed shape.Take advantage of this,designer can present a more elegant design to lay out barcodes with other graphic elements.
文摘目的制作更规范清晰的标识管理患者管道,从而快速分辨管道类别、作用、判断引流液性质正常与否等情况,提升患者管道安全管理。方法利用Bar Tender软件进行标识格式创建,通过条码打印机,快速打印出各种管道标识,绕管道合适位置粘贴即可。结果 Bar Tender软件设计打印制作的管道标识可以更高效、准确、清晰地标记患者留置管道,有效避免书写造成字迹模糊,难辨认的情况。结论利用Bar Tender软件设计打印制作的管道标识,能更好地协助医护人员对管道进行辨识和交接等管理。
基金Supported by Grants from the National Natural Science Foundation of China,No. 81271897 and 81071424the National Basic Research Program of China 973 Program,No. 2011CB512003+4 种基金the Specialized Research Fund for the Doctoral Program of Higher Education of China,No. 20110061120093the China Postdoctoral Science Foundation,No. 20110491311 and 2012T50285the Foundation of Xinjiang Provincial Science and Technology Department,No. 201091148the Foundation of Jilin Provincial Health Department,No. 2011Z049the Norman Bethune Program of Jilin University,No. 2012219
文摘AIM:To apply a new,integrated technique for visualizing bacterial genomes to identify novel pathogenicity islands in Helicobacter pylori(H.pylori).METHODS:A genomic barcode imaging method(converting frequency matrices to grey-scale levels)was designed to visually distinguish origin-specific genomic regions in H.pylori.The complete genome sequences of the six H.pylori strains published in the National Center for Biotechnological Information prokaryotic genome database were scanned,and compared to the genome barcodes of Escherichia coli(E.coli)O157:H7 strain EDL933 and a random nucleotide sequence.The following criteria were applied to identify potential pathogenicity islands(PAIs):(1)barcode distance distinct from that of the general background;(2)length greater than 10000 continuous base pairs;and(3)containing genes with known virulence-related functions(as determined by PfamScan and Blast2GO).RESULTS:Comparison of the barcode images generated for the 26695,HPAG1,J99,Shi470,G27 and P12 H.pylori genomes with those for the E.coli and random sequence controls revealed that H.pylori genomes contained fewer anomalous regions.Among the H.pylorispecific continuous anomalous regions(longer than 20 kbp in each strain's genome),two fit the criteria for identifying candidate PAIs.The bioinformatic-based functional analyses revealed that one of the two anomalous regions was the known pathogenicity island cag PAI,this finding also served as proof-of-principle for the utility of the genomic barcoding approach for identifying PAIs,and characterized the other as a novel PAI,which was designated as tfs3-PAI.Furthermore,the cag-PAI and tfs3-PAI harbored genes encoding type IV secretion system proteins and were predicted to have potential for functional synergy.CONCLUSION:Genomic barcode imaging represents an effective bioinformatic-based approach for scanning bacterial genomes,such as H.pylori,to identify candidate PAIs.
