That the world is a global village is no longer news through the tremendous advancement in the Information Communication Technology (ICT). The metamorphosis of the human data storage and analysis from analogue through...That the world is a global village is no longer news through the tremendous advancement in the Information Communication Technology (ICT). The metamorphosis of the human data storage and analysis from analogue through the jaguars-loom mainframe computer to the present modern high power processing computers with sextillion bytes storage capacity has prompted discussion of Big Data concept as a tool in managing hitherto all human challenges of complex human system multiplier effects. The supply chain management (SCM) that deals with spatial service delivery that must be safe, efficient, reliable, cheap, transparent, and foreseeable to meet customers’ needs cannot but employ bid data tools in its operation. This study employs secondary data online to review the importance of big data in supply chain management and the levels of adoption in Nigeria. The study revealed that the application of big data tools in SCM and other industrial sectors is synonymous to human and national development. It is therefore recommended that both private and governmental bodies should key into e-transactions for easy data assemblage and analysis for profitable forecasting and policy formation.展开更多
Protecting the security of sensitive information has become a matter of great concern to everyone. Data hiding technique solves the problem to some extent, but still, some shortcomings remain for researching. To impro...Protecting the security of sensitive information has become a matter of great concern to everyone. Data hiding technique solves the problem to some extent, but still, some shortcomings remain for researching. To improve the capability of hiding huge data file in disk with high efficiency. In this paper, we propose a novel approach called CryptFS, which is achieved by utilizing the file access mechanism and modifying the cluster chain structure to hide data. CryptFS can quickly hide data file with G bytes size in less than 0.1s. The time used for hiding and recovering data is irrelevant to the size of data file, and the reliability of the hidden file is high, which will not be overlaid by new created file and disk defragment.展开更多
针对传统中小企业客户数据呈现杂乱无序状态且缺乏标准化的现状,提出一种创新的数据治理技术。该技术整合多源异构数据,该技术汇聚多源异构数据,融合光学字符识别(Optical Character Recognition,OCR)等多种方法,构建标准化的中小企业...针对传统中小企业客户数据呈现杂乱无序状态且缺乏标准化的现状,提出一种创新的数据治理技术。该技术整合多源异构数据,该技术汇聚多源异构数据,融合光学字符识别(Optical Character Recognition,OCR)等多种方法,构建标准化的中小企业基础信息数据湖,从源头提升数据质量。引入“熵减”理念,利用智能算法对数据质量进行量化评估,能够及时定位并解决数据质量问题。同时,搭建时序数据库并构建基于熵减的马尔科夫链模型,以此预测未来数据质量趋势,精准治理潜在问题区域。该技术不仅实现了数据价值的最大化,还显著降低了治理成本,提高了数据治理的效率与准确性,为企业降本增效提供了有力支撑。展开更多
文摘That the world is a global village is no longer news through the tremendous advancement in the Information Communication Technology (ICT). The metamorphosis of the human data storage and analysis from analogue through the jaguars-loom mainframe computer to the present modern high power processing computers with sextillion bytes storage capacity has prompted discussion of Big Data concept as a tool in managing hitherto all human challenges of complex human system multiplier effects. The supply chain management (SCM) that deals with spatial service delivery that must be safe, efficient, reliable, cheap, transparent, and foreseeable to meet customers’ needs cannot but employ bid data tools in its operation. This study employs secondary data online to review the importance of big data in supply chain management and the levels of adoption in Nigeria. The study revealed that the application of big data tools in SCM and other industrial sectors is synonymous to human and national development. It is therefore recommended that both private and governmental bodies should key into e-transactions for easy data assemblage and analysis for profitable forecasting and policy formation.
基金Supported by the National High Technology Research and Development Program of China (863 Program) (2009AA01Z434)the "Core Electronic Devices, High_End General Chip, and Fundamental Software" Major Project (2013JH00103)
文摘Protecting the security of sensitive information has become a matter of great concern to everyone. Data hiding technique solves the problem to some extent, but still, some shortcomings remain for researching. To improve the capability of hiding huge data file in disk with high efficiency. In this paper, we propose a novel approach called CryptFS, which is achieved by utilizing the file access mechanism and modifying the cluster chain structure to hide data. CryptFS can quickly hide data file with G bytes size in less than 0.1s. The time used for hiding and recovering data is irrelevant to the size of data file, and the reliability of the hidden file is high, which will not be overlaid by new created file and disk defragment.
文摘针对传统中小企业客户数据呈现杂乱无序状态且缺乏标准化的现状,提出一种创新的数据治理技术。该技术整合多源异构数据,该技术汇聚多源异构数据,融合光学字符识别(Optical Character Recognition,OCR)等多种方法,构建标准化的中小企业基础信息数据湖,从源头提升数据质量。引入“熵减”理念,利用智能算法对数据质量进行量化评估,能够及时定位并解决数据质量问题。同时,搭建时序数据库并构建基于熵减的马尔科夫链模型,以此预测未来数据质量趋势,精准治理潜在问题区域。该技术不仅实现了数据价值的最大化,还显著降低了治理成本,提高了数据治理的效率与准确性,为企业降本增效提供了有力支撑。
