Global Exponential Stability of Hybrid Non-autonomous Neural Networks with Markovian Switching

Neural Processing Letters - This paper discusses the global exponential stability for a class of hybrid non-autonomous neural networks (HNNNs) with Markovian switching, which includes the factors...     

A Dynamic Programming Framework for Large-Scale Online Clustering on Graphs

Neural Processing Letters - As a fundamental technique for data analysis, graph clustering grouping graph data into clusters has attracted great attentions in recent years. In this paper, we...     

An image segmentation approach on improved implicit surface model in straddle strategy

Multimedia Tools and Applications - At present, some experts and scholars do not explicitly mention the static model in the analysis of the straddle strategy, which leads to the research results...     

Synthesis of Ionic Ultramicroporous Polymers for Selective Separation of Acetylene from Ethylene

The design of highly stable and efficient porous materials is essential for developing breakthrough hydrocarbon separation methods based on physisorption to replace currently used energy-intensive distillation/absorption technologies. Efforts to develop advanced porous materials such as zeolites, coordination frameworks, and organic polymers have met with limited success. Here, a new class of ionic ultramicroporous polymers (IUPs) with high-density inorganic anions and narrowly distributed ultramicroporosity is reported, which are synthesized by a facile free-radical polymerization using branched and amphiphilic ionic compounds as reactive monomers. A covalent and ionic dual-crosslinking strategy is proposed to manipulate the pore structure of amorphous polymers at the ultramicroporous scale. The IUPs exhibit exceptional selectivity (286.1–474.4) for separating acetylene from ethylene along with high thermal and water stability, collaboratively demonstrated by gas adsorption isotherms and experimental breakthrough curves. Modeling studies unveil the specific binding sites for acetylene capture as well as the interconnected ultramicroporosity for size sieving. The porosity-engineering protocol used in this work can also be extended to the design of other ultramicroporous materials for the challenging separation of other key gas constituents.     

A review-driven customer preference measurement model for product improvement: sentiment-based importance–performance analysis

Information Systems and e-Business Management - An increasing number of people use social media to share their consumption experiences. Publicly available online reviews have become a significant...     

PA6B柴油机进排气阀断裂原因分析

针对PA6B柴油机进排气阀断裂故障,根据现场勘验情况并结合该柴油机当时的热工参数,建立相应的故障树;对制造质量、装配质量、配气定时、异物进入、热工参数等因素进行逐一排查。结果表明:导致PA6B柴油机进排气阀断裂的原因为喷油器制造质量存在问题。     

Cf/C复合材料与纯铜的胶接辅助钎焊连接

采用胶接辅助钎焊方法,以TiH_2粉为活性元素源,环氧树脂为粘性载体,Ag-Cu共晶合金为钎料,Cu箔为应力缓冲层材料,实现了C_f/C复合材料与纯铜的钎焊连接,结果表明,接头界面处产生TiC,TiCu,Ag(s,s),Cu(s,s)等反应产物,其结构可表示为(C_f/C)/TiC+Ag(s,s)+Cu(s,s)+TiCu/Cu。通过钎焊工艺试验得出,在930℃保温25 min钎焊条件下接头的抗剪强度达到最大值30 MPa。     

二连盆地乌兰花凹陷特低渗安山岩储层的有效性评价

针对二连盆地乌兰花凹陷安山岩储层的特性认识不清、有效储层划分不准确的问题，利用岩心薄片、黏土矿物分析、物性测试以及核磁共振实验等手段开展了岩石储集空间特征、岩石蚀变程度、测井响应特征分析。在此基础上，重点开展了基于核磁共振实验的安山岩储层有效孔隙度计算模型研究，开发了相适应的测井解释评价模块，并结合常规测井和试油结果建立了安山岩储层的分类标准。结果表明：安山岩储集空间具有发育"微孔"、"杏仁孔"双孔隙的特征，且以微孔为主；根据不同蚀变程度所建立的安山岩有效孔隙度计算模型具有很高的精度，平均绝对误差为0.16%，平均相对误差为19.40%；新测井解释储层分类标准在实际应用中与试油结论具有很好的一致性，有利于乌兰花凹陷安山岩有效储层的精确划分，并为该地区开发方案的设计及可采储量评价提供技术支持。