In order to protect the website and assess the security risk of website, a novel website security risk assessment method is proposed based on the improved Bayesian attack graph(I-BAG) model. First, the Improved Bayesi...In order to protect the website and assess the security risk of website, a novel website security risk assessment method is proposed based on the improved Bayesian attack graph(I-BAG) model. First, the Improved Bayesian attack graph model is established, which takes attack benefits and threat factors into consideration. Compared with the existing attack graph models, it can better describe the website's security risk. Then, the improved Bayesian attack graph is constructed with optimized website attack graph, attack benefit nodes, threat factor nodes and the local conditional probability distribution of each node, which is calculated accordingly. Finally, website's attack probability and risk value are calculated on the level of nodes, hosts and the whole website separately. The experimental results demonstrate that the risk evaluating method based on I-BAG model proposed is a effective way for assessing the website security risk.展开更多
Construction project is not a standalone engineering maneuver.It is closely linked to the well-being of local communities in concern.The city renovation in Beijing down center for Olympic 2008 transformed many antique...Construction project is not a standalone engineering maneuver.It is closely linked to the well-being of local communities in concern.The city renovation in Beijing down center for Olympic 2008 transformed many antique architecture and regional landscape.It gave a world-recognized achievement in China s modem development and manifested a major milestone in China's economic development.In the course of metro construction projects,there are substantial interwoven municipal structures influencing the success of the projects,which including,but the least,all underground cables and ducts,sewage system,the power consumption of construction works,traffic diversion,air pollution,expatriate business activities and social security.There are many US and UK project insurance companies moving into Asia Pacific.They are doing re-insurance business on major construction guarantee,such as machinery damage,project on-time,power consumption,claims from contractors and communities.Environmental information,such as water quality,indoor and outdoor air quality,people inflow and lift waiting time play deterministic roles in construction's fit-touse.Big Data is a contemporary buzzword since 2013,and the key competence is to provide real time response to heuristic syndrome in order to make short-term prediction.This paper attempts to develop a conceptual model in big data for construction展开更多
On the basis of sedimentation principles and environmental chemical characteristics of heavymetal, combine international new methods-face graph on heavy metal pollution assessment withmulti-variable graph expression, ...On the basis of sedimentation principles and environmental chemical characteristics of heavymetal, combine international new methods-face graph on heavy metal pollution assessment withmulti-variable graph expression, the article made a synthetical assessment study on state of heavymetal pollution and potential ecological risk of Taizi River sediment in Benxi City reach. The re-sults of the study indicated that the state of heavy metal pollution of Taizi River in Benxi Cityreach is very serious, appropriate counter measures should be taken.展开更多
为了提高建筑施工安全风险管理的信息化水平,以建筑施工活动及事故风险类型为研究对象,建立施工安全知识图谱。通过知识图谱改进作业条件危险性评价法(LEC)实现安全风险的定量计算,并基于知识图谱进行风险位置识别和不安全因素分析。研...为了提高建筑施工安全风险管理的信息化水平,以建筑施工活动及事故风险类型为研究对象,建立施工安全知识图谱。通过知识图谱改进作业条件危险性评价法(LEC)实现安全风险的定量计算,并基于知识图谱进行风险位置识别和不安全因素分析。研究提出安全风险虚体实化理念,实现了安全风险信息在数字空间实体化表达;基于建筑信息模型(Building Information Modeling, BIM)和知识图谱技术,建立了建筑施工安全风险信息模型(Building Construction Safety Risk Information Model, BCSRIM)。该模型有效避免了传统LEC法中主观因素产生的影响,实现了建筑施工安全风险定量计算、风险位置识别、风险分析及可视化管理。利用Revit二次开发技术,在Microsoft Visual Studio中使用C#语言连接Neo4j图数据库,完成了基于知识图谱的BCSRIM的开发。试验显示,研究提出的BCSRIM对提高施工现场的管理水平具有较高的实用价值。展开更多
矿山粉尘职业危害已成为矿山行业最重要的职业健康问题,对矿山粉尘危害进行风险评估、量化其危害程度是矿山职业卫生工作的重点。为深入了解矿山粉尘职业危害风险评估领域的研究脉络,基于文献计量学角度,采用VOSviewer与CiteSpace软件...矿山粉尘职业危害已成为矿山行业最重要的职业健康问题,对矿山粉尘危害进行风险评估、量化其危害程度是矿山职业卫生工作的重点。为深入了解矿山粉尘职业危害风险评估领域的研究脉络,基于文献计量学角度,采用VOSviewer与CiteSpace软件对中国知网(CNKI)和WOS(Web of Science)收录的矿山粉尘危害风险评估相关文献进行可视化分析,提取高频关键词,进行关键词共现、聚类分析,获得文献的时序特征、研究主体以及热点前沿信息。根据可视化分析结果,从风险评估指标、危害程度等级、评估方法3个方面进行了详细分析和阐述。细化了风险评估流程,分析了矿山粉尘的理化特性和危害因素,进而归纳了风险评估指标,总结了粉尘职业危害程度分级,按照定性、定量和综合评估3种类别梳理了矿山粉尘职业危害风险评估方法,阐释了健康伤害风险评估的量化模型。研究表明:目前国内外在矿山粉尘职业危害风险评估方向进行了大量深入的研究和实践,评估工作取得了较为显著的成效,但矿山各生产环节粉尘至今仍难以彻底遏制,相关研究理论机制尚未成熟,评估指标影响因素冗杂、危害程度分级缺乏依据、评估方法存在主观不确定性,矿山粉尘职业危害风险评估体系有待系统研究,粉尘危害风险分析及预警平台尚需探索构建。未来,需进一步完善矿山粉尘职业危害风险评估相关法律法规;科学、合理地选择风险评估指标,简化评估工作环节,实现良好的实用效益;突破现有方法局限,建立适用的数据信息论风险评估模型,为矿山粉尘治理提供有效依据;积极应用云计算、大数据等新技术,实现粉尘监测—风险评估—智能防控一体化系统建设。展开更多
基金supported by the project of the State Key Program of National Natural Science Foundation of China (No. 90818021)supported by a grant from the national high technology research and development program of China (863program) (No.2012AA012903)
文摘In order to protect the website and assess the security risk of website, a novel website security risk assessment method is proposed based on the improved Bayesian attack graph(I-BAG) model. First, the Improved Bayesian attack graph model is established, which takes attack benefits and threat factors into consideration. Compared with the existing attack graph models, it can better describe the website's security risk. Then, the improved Bayesian attack graph is constructed with optimized website attack graph, attack benefit nodes, threat factor nodes and the local conditional probability distribution of each node, which is calculated accordingly. Finally, website's attack probability and risk value are calculated on the level of nodes, hosts and the whole website separately. The experimental results demonstrate that the risk evaluating method based on I-BAG model proposed is a effective way for assessing the website security risk.
文摘Construction project is not a standalone engineering maneuver.It is closely linked to the well-being of local communities in concern.The city renovation in Beijing down center for Olympic 2008 transformed many antique architecture and regional landscape.It gave a world-recognized achievement in China s modem development and manifested a major milestone in China's economic development.In the course of metro construction projects,there are substantial interwoven municipal structures influencing the success of the projects,which including,but the least,all underground cables and ducts,sewage system,the power consumption of construction works,traffic diversion,air pollution,expatriate business activities and social security.There are many US and UK project insurance companies moving into Asia Pacific.They are doing re-insurance business on major construction guarantee,such as machinery damage,project on-time,power consumption,claims from contractors and communities.Environmental information,such as water quality,indoor and outdoor air quality,people inflow and lift waiting time play deterministic roles in construction's fit-touse.Big Data is a contemporary buzzword since 2013,and the key competence is to provide real time response to heuristic syndrome in order to make short-term prediction.This paper attempts to develop a conceptual model in big data for construction
文摘On the basis of sedimentation principles and environmental chemical characteristics of heavymetal, combine international new methods-face graph on heavy metal pollution assessment withmulti-variable graph expression, the article made a synthetical assessment study on state of heavymetal pollution and potential ecological risk of Taizi River sediment in Benxi City reach. The re-sults of the study indicated that the state of heavy metal pollution of Taizi River in Benxi Cityreach is very serious, appropriate counter measures should be taken.
文摘为了提高建筑施工安全风险管理的信息化水平,以建筑施工活动及事故风险类型为研究对象,建立施工安全知识图谱。通过知识图谱改进作业条件危险性评价法(LEC)实现安全风险的定量计算,并基于知识图谱进行风险位置识别和不安全因素分析。研究提出安全风险虚体实化理念,实现了安全风险信息在数字空间实体化表达;基于建筑信息模型(Building Information Modeling, BIM)和知识图谱技术,建立了建筑施工安全风险信息模型(Building Construction Safety Risk Information Model, BCSRIM)。该模型有效避免了传统LEC法中主观因素产生的影响,实现了建筑施工安全风险定量计算、风险位置识别、风险分析及可视化管理。利用Revit二次开发技术,在Microsoft Visual Studio中使用C#语言连接Neo4j图数据库,完成了基于知识图谱的BCSRIM的开发。试验显示,研究提出的BCSRIM对提高施工现场的管理水平具有较高的实用价值。
文摘矿山粉尘职业危害已成为矿山行业最重要的职业健康问题,对矿山粉尘危害进行风险评估、量化其危害程度是矿山职业卫生工作的重点。为深入了解矿山粉尘职业危害风险评估领域的研究脉络,基于文献计量学角度,采用VOSviewer与CiteSpace软件对中国知网(CNKI)和WOS(Web of Science)收录的矿山粉尘危害风险评估相关文献进行可视化分析,提取高频关键词,进行关键词共现、聚类分析,获得文献的时序特征、研究主体以及热点前沿信息。根据可视化分析结果,从风险评估指标、危害程度等级、评估方法3个方面进行了详细分析和阐述。细化了风险评估流程,分析了矿山粉尘的理化特性和危害因素,进而归纳了风险评估指标,总结了粉尘职业危害程度分级,按照定性、定量和综合评估3种类别梳理了矿山粉尘职业危害风险评估方法,阐释了健康伤害风险评估的量化模型。研究表明:目前国内外在矿山粉尘职业危害风险评估方向进行了大量深入的研究和实践,评估工作取得了较为显著的成效,但矿山各生产环节粉尘至今仍难以彻底遏制,相关研究理论机制尚未成熟,评估指标影响因素冗杂、危害程度分级缺乏依据、评估方法存在主观不确定性,矿山粉尘职业危害风险评估体系有待系统研究,粉尘危害风险分析及预警平台尚需探索构建。未来,需进一步完善矿山粉尘职业危害风险评估相关法律法规;科学、合理地选择风险评估指标,简化评估工作环节,实现良好的实用效益;突破现有方法局限,建立适用的数据信息论风险评估模型,为矿山粉尘治理提供有效依据;积极应用云计算、大数据等新技术,实现粉尘监测—风险评估—智能防控一体化系统建设。
