A new DSmT combination rule in open frame of discernment and its application

A new combination rule based on Dezert-Smarandache theory (DSmT) is proposed to deal with the conflict evidence resulting from the non-exhaustivity of the discernment frame. A two-dimensional measure factor in Dempster-Shafer theory (DST) is extended to DSmT to judge the conflict degree between evidence. The original DSmT combination rule or new DSmT combination rule can be selected for fusion according to this degree. Finally, some examples in simultaneous fault diagnosis of motor rotor are given to illustrate the effectiveness of the proposed combination rule.     

我国信息安全发展回顾及“十二五”发展对策研究

为应对以网络空间为载体的虚拟社会带来的安全挑战,我们应加快推进信息安全发展和网络信任体系建设,加速构建我国信息安全保障体系。文章详细论述了我国信息安全发展现状,深入分析了信息安全发展形势,结合我国实际情况提出了我国信息安全"十二五"发展思路、目标和战略重点。     

局域网的网络安全浅析

随着计算机网络和互联网的发展,局域网安全问题越来越受到人们的重视和关注。为了使局域网的安全措施能全方位地应对各种不同的威胁,确保网络信息的保密性、完整性和可用性。同时为了确保信息的安全与畅通,文中对局域网的安全以及防范措施进行了研究。     

制造资源混合粒度优化组合方案求解技术

为实现对云请求端制造需求的快速响应并提供最理想的制造云,在定义制造云服务(manufacturing cloudservice,MCS)的基础上,提出了MCS混合粒度动态优化组合方法.通过对制造服务需求的解析,将MCS按照粒度从大到小的顺序进行匹配,实现了云池资源的初次过滤;然后构建基于总服务成本、服务质量和交易期的制造云多目标优化数学模型,并引入Epsilon-SPEA2优化算法对该优化问题进行求解,从而快速高效地获得Pareto最优解;采用基于改进优劣解距离(technique for order preference by similarity to an ideal solution,TOPSIS)的动态多属性决策方法对Pareto最优解所代表的互为非支配的MCS组合方案进行评价排序,筛选出最优的MCS组合方案.最后结合某区域模具公司群所能提供的制造服务以及相应历史数据,依据客户需求进行MCS的动态优化组合仿真,验证了文中方法的可行性和实用性.     

基于非下采样Contourlet变换的指纹图像超分辨率重建

非下采样Contourlet变换(Nonsubsampled contourlet transform,NSCT)采用非抽样金字塔结构和非抽样方向滤波器组构成,具有Contourlet变换所不具备的平移不变性、较高冗余度等优良特性,而且能够克服伪吉布斯现象。图像经过非下采样Contourlet变换后分解成多尺度、多方向的细节信息,这些细节信息代表了图像不同频带不同方向的特征,这就简化了系数之间的关系。基于学习的超分辨率重建算法具有整体的预测性,将非下采样Contourlet变换和基于学习的算法相结合,在一定程度上提高训练精度。针对指纹图像的实验证明该算法具有良好的性能,重建的图像纹理性细节信息较好,基本保持了原指纹图像的特征点,更接近于原始的高分辨率图像。     

Response of Hydrodynamics and Water-quality Conditions to Climate Change in a Shallow Lake

Lake water resources operation and water quality management come up with higher challenges due to climate change. The frequency and intensity of extreme hydrological events are increasing under global warming, which may directly lead to more uncertainty and complexity for hydrodynamic and water-quality conditions in large shallow lake. However, studies about effects of climate change on lake hydrodynamic and water-quality conditions are not enough. Thus, a coupled model is es-tablished to investigate the potential responses of lake water level, flow field and pollutant migra-tion to the changing climatic factors. The results imply that water flow capacity and self-purification in the Hongze Lake can be improved by west, northwest, north, south and southeast winds indi-cating wind filed change has a great effect on the hydrodynamic and water-quality conditions in large shallow lake. It is further observed that both hydrodynamics and water quality are more sensitive to rainfall change than to temperature change; compared to the effect from temperature and rainfall, the effect from wind field appear to be more pronounced. Moreover, the results verify the feasibility of coupling basin hydrological model with lake hydrodynamic and water quality model. To the best of knowledge, the coupled model should not be used until independent calibra-tions and verifications for hydrodynamics and water quality modeling, the hydrological model and the coupled model.

     

油气田压裂废液的臭氧气浮深度处理与资源化利用特性

长庆油田属于典型的低渗透油田,其油气开采过程中通常采用压裂作业进行增产,需要使用大量的新鲜水进行工作液配制,造成油气开采成本较高.针对此问题,采用臭氧气浮一体化(DOF)处理工艺对压裂废液进行深度处理,利用臭氧气浮出水进行工作液配制,探究其资源化利用效果.研究表明,DOF工艺对进水COD、浊度和SS有较好的去除率,采用PAC作为混凝剂时,DOF对COD、浊度和SS的平均去除率分别为31.34％、96.36％、93.71％.采用PFS作为混凝剂时,DOF对COD、浊度和SS的平均去除率分别为33.95％、89.37％、85.11％.DOF进出水三维荧光分析可知DOF工艺对荧光类污染物有着良好的去除效果,结合液相色谱分子量分布分析,DOF工艺处理后有机物向小分子物质转化,并且PAC和PFS作为混凝剂时分子量分布基本一致.利用DOF出水配制的清水泥浆、盐水泥浆和压裂液均可满足油气田井场对三者的各项性能要求.其中,DOF出水配制的盐水泥浆较自来水配制有明显的性能提升,体系失水率下降了40％以上.     

AdaFuse: Adaptive Multiview Fusion for Accurate Human Pose Estimation in the Wild

International Journal of Computer Vision - Occlusion is probably the biggest challenge for human pose estimation in the wild. Typical solutions often rely on intrusive sensors such as IMUs to...     

RETRACTED ARTICLE: Intelligent traffic monitoring and traffic diagnosis analysis based on neural network algorithm

Traffic sign recognition and lane detection play an important role in traffic flow planning, avoiding traffic accidents, and alleviating traffic chaos. At present, the traffic intelligent recognition rate still needs to be improved. In view of this, based on the neural network algorithm, this study constructs an intelligent transportation system based on neural network algorithm, and combines machine vision technology to carry out intelligent monitoring and intelligent diagnosis of traffic system. In addition, this study discusses in detail the core of the monitoring system: multi-target tracking algorithm, and introduces the complete implementation process and details of the system, and highlights the implementation and tracking effect of the multi-target tracker. Finally, this study uses case identification to analyze the effectiveness of the algorithm proposed by this paper. The research results show that the proposed method has certain practical effects and can be used as a reference for subsequent system construction.

     

Bibliometric analysis on tendency and topics of artificial intelligence over last decade

Microsystem Technologies - Artificial intelligence (AI), together with its applications, has received world-wide attentions and is expected to exert force on the development of global economy and...