针对智能电网设备运维检修阶段多源数据动态性较高的特点,研究面向智能电网设备运维检修阶段的多源建筑信息模型(building information modeling,BIM)数据存储方法。利用数据接口适配器连接电力系统各运维检修相关系统,采集电网设备运...针对智能电网设备运维检修阶段多源数据动态性较高的特点,研究面向智能电网设备运维检修阶段的多源建筑信息模型(building information modeling,BIM)数据存储方法。利用数据接口适配器连接电力系统各运维检修相关系统,采集电网设备运维检修多源数据,所采集数据利用数据转换引擎转换为多源BIM数据,传送至MySQL数据库。从MySQL数据库中调取整合后的运维检修多源数据,构建电网设备多源BIM数据模型。利用边缘节点采集多源BIM数据信息,选取压缩感知算法重构多源BIM数据,形成重构数据与稀疏字典原子并上传至云端服务器,构建完备稀疏字典,实现多源BIM数据存储。仿真结果表明:该方法存储面向智能电网设备运维检修的多源BIM数据,上传内容与读取内容一致,存储性能优越。展开更多
在当今信息时代,数据的复杂性不断增加,传统的关系型数据库在大规模数据存储和处理方面面临着挑战。非关系型数据库(Not Only SQL,NoSQL)作为一种新的存储和处理数据的方法,受到了广泛关注,并在分布式存储领域取得了显著的成就。文章重...在当今信息时代,数据的复杂性不断增加,传统的关系型数据库在大规模数据存储和处理方面面临着挑战。非关系型数据库(Not Only SQL,NoSQL)作为一种新的存储和处理数据的方法,受到了广泛关注,并在分布式存储领域取得了显著的成就。文章重点探讨基于大数据技术的非关系型数据库分布式存储方法,并通过实验进行评估,发现其在可扩展性和安全性方面具有优势,可以为相关研究提供参考。展开更多
In order to provide a practicable solution to data confidentiality in cloud storage service,a data assured deletion scheme,which achieves the fine grained access control,hopping and sniffing attacks resistance,data dy...In order to provide a practicable solution to data confidentiality in cloud storage service,a data assured deletion scheme,which achieves the fine grained access control,hopping and sniffing attacks resistance,data dynamics and deduplication,is proposed.In our scheme,data blocks are encrypted by a two-level encryption approach,in which the control keys are generated from a key derivation tree,encrypted by an All-OrNothing algorithm and then distributed into DHT network after being partitioned by secret sharing.This guarantees that only authorized users can recover the control keys and then decrypt the outsourced data in an ownerspecified data lifetime.Besides confidentiality,data dynamics and deduplication are also achieved separately by adjustment of key derivation tree and convergent encryption.The analysis and experimental results show that our scheme can satisfy its security goal and perform the assured deletion with low cost.展开更多
In order to improve the automatic retrieval ability of English vocabulary, for the distribution of semantic attributes in English vocabulary, an automatic classification method of English vocabulary is proposed based ...In order to improve the automatic retrieval ability of English vocabulary, for the distribution of semantic attributes in English vocabulary, an automatic classification method of English vocabulary is proposed based on association rules, English vocabulary data storage model is constructed, a two element linguistic feature function is constructed for describing the directionality of English lexical retrieval scheduling, English vocabulary classification decision making model is constructed based on contextual relations of English vocabulary, the features of the association rules of English vocabulary are extracted, the adaptive learning method is used to realize the automatic classification of English vocabulary. The simulation results show that the method of English vocabulary classification has good performance, the classification error rate is low, the retrieval precision is high, and the computational overhead is small.展开更多
文摘针对智能电网设备运维检修阶段多源数据动态性较高的特点,研究面向智能电网设备运维检修阶段的多源建筑信息模型(building information modeling,BIM)数据存储方法。利用数据接口适配器连接电力系统各运维检修相关系统,采集电网设备运维检修多源数据,所采集数据利用数据转换引擎转换为多源BIM数据,传送至MySQL数据库。从MySQL数据库中调取整合后的运维检修多源数据,构建电网设备多源BIM数据模型。利用边缘节点采集多源BIM数据信息,选取压缩感知算法重构多源BIM数据,形成重构数据与稀疏字典原子并上传至云端服务器,构建完备稀疏字典,实现多源BIM数据存储。仿真结果表明:该方法存储面向智能电网设备运维检修的多源BIM数据,上传内容与读取内容一致,存储性能优越。
文摘在当今信息时代,数据的复杂性不断增加,传统的关系型数据库在大规模数据存储和处理方面面临着挑战。非关系型数据库(Not Only SQL,NoSQL)作为一种新的存储和处理数据的方法,受到了广泛关注,并在分布式存储领域取得了显著的成就。文章重点探讨基于大数据技术的非关系型数据库分布式存储方法,并通过实验进行评估,发现其在可扩展性和安全性方面具有优势,可以为相关研究提供参考。
基金supported by the National Key Basic Research Program of China(973 program) under Grant No.2012CB315901
文摘In order to provide a practicable solution to data confidentiality in cloud storage service,a data assured deletion scheme,which achieves the fine grained access control,hopping and sniffing attacks resistance,data dynamics and deduplication,is proposed.In our scheme,data blocks are encrypted by a two-level encryption approach,in which the control keys are generated from a key derivation tree,encrypted by an All-OrNothing algorithm and then distributed into DHT network after being partitioned by secret sharing.This guarantees that only authorized users can recover the control keys and then decrypt the outsourced data in an ownerspecified data lifetime.Besides confidentiality,data dynamics and deduplication are also achieved separately by adjustment of key derivation tree and convergent encryption.The analysis and experimental results show that our scheme can satisfy its security goal and perform the assured deletion with low cost.
文摘In order to improve the automatic retrieval ability of English vocabulary, for the distribution of semantic attributes in English vocabulary, an automatic classification method of English vocabulary is proposed based on association rules, English vocabulary data storage model is constructed, a two element linguistic feature function is constructed for describing the directionality of English lexical retrieval scheduling, English vocabulary classification decision making model is constructed based on contextual relations of English vocabulary, the features of the association rules of English vocabulary are extracted, the adaptive learning method is used to realize the automatic classification of English vocabulary. The simulation results show that the method of English vocabulary classification has good performance, the classification error rate is low, the retrieval precision is high, and the computational overhead is small.
