One-Dimensional Deep Convolutional Neural Network for Mineral Classification from Raman Spectroscopy

Neural Processing Letters - Raman spectroscopy is often used for the composition determination and rapid classification of materials because it can reflect the molecular information of materials....     

Fractional order battery modelling methodologies for electric vehicle applications: Recent advances and perspectives

Science China Technological Sciences - Accurate modelling of lithium ion batteries is crucial for battery management in electric vehicles. Recent studies have revealed the fractional order nature...     

改进Elman神经网络在短期热负荷预测中的应用

热电厂的短期热负荷预测在城市集中供暖中起着至关重要的作用,直接影响热电厂的经济效益和热能利用率。电厂的短期热负荷一般采用神经网络预测模型进行预测,而BP神经网络应用最为广泛。Elman神经网络算法在BP神经网络基础上加入了承接层,作为一步延时算子,实现记忆能力,使系统具备适应时变能力,增强系统全局稳定性。但Elman神经网络算法模型的构造依然需要大量样本的支撑,而且输入层的变量多,导致预测时间依然很长,收敛速度慢。该文在Elman神经网络预测前,进行了相关系数预处理和对样本中异常值的平均化预处理,通过数据归一化运算,使Elman神经网络输入层变量大幅减少。仿真实验表明,改进的Elman神经网络算法使预测模型快速寻优,减少预测时间的同时明显提高预测精度。     

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.     

济阳坳陷下古生界潜山油气藏特征及成藏模式

济阳坳陷下古生界潜山具有多样性、复杂性的特点，潜山差异性的形成演化、油气成藏主控因素和控藏模式不明确，严重制约了该区潜山油气勘探。在潜山分类的基础上，综合利用系统恢复、分类对比和典型解剖等方法，揭示了济阳坳陷下古生界不同类型潜山的形成演化过程和油气成藏主控因素差异性，分类建立了油气成藏模式。研究表明，济阳坳陷下古生界主要发育高位新盖侵蚀残丘潜山、中位古盖拉张断块潜山、中位新古盖拉张剪切断块潜山、中位中古盖挤压拉张断块潜山和低位古盖拉张滑脱断块潜山5种潜山类型。不同类型潜山的形成演化和油气成藏各具特色，其中，高位新盖侵蚀残丘潜山的发育受隆升、侵蚀作用控制，油气成藏主要受控于油源和盖层条件，表现为"单向供烃、砂体-不整合岩溶体联合输导、残丘控藏"的成藏模式；中位古盖拉张断块潜山的发育受掀斜、断裂作用控制，油气成藏主要受控于储集条件，表现为"单向供烃、顺向断层输导、反向断层控藏"的成藏模式；中位新古盖拉张剪切断块潜山的发育受反转、翘倾和走滑切割作用控制，油气成藏主要受控于输导条件，表现为"多源供烃、断溶体立体输导、断裂控藏"的成藏模式；中位中古盖挤压拉张断块潜山的形成受强烈挤压、拉张滑脱作用控制，油气成藏主要受控于储集条件，表现为"多源供烃、断缝体输导、断褶控藏"的成藏模式；低位古盖拉张滑脱断块潜山的形成受强烈拉张滑脱作用控制，油气成藏主要受控于输导条件，表现为"顶部供烃、断缝体输导、断裂控藏"的成藏模式。     

快速切换(SMED)在空调制造厂的研究与应用

在目前市场需求呈现规模扩张和品类个性化的冲击下,制造业面对的竞争压力愈发明显.且随着新时代自动化、信息化、大数据智能化等先进制造特征的兴起,更加促使制造业向转型升级不断进军.以空调制造业的控制器版块为例,从制约此单位效率的SMT车间切换浪费为切入点,在SMED快速换模的理念基础上,通过使用IE分析工具对切换流程进行研究,提炼出一套多模组固定料站切换模型,同时结合自动化、信息化等智能制造技术引进,完成SMT车间人力投入减少35人,日均产出点数提升18.29％,设备运行率提升15.46％,综合成本降低110.6万元/年的效益.成功推广应用至电子物料拣选版块,并开发信息化看板,夯实应用效益,再次证实"多模组固定料站"快速切换模型是典型小、多、高生产模式,具有可行性的解决方案.     

山东某难选贫磁铁矿石工艺矿物学研究

山东某难选贫磁铁矿石一直处于待开发状态。为了给矿石资源的开发利用提供依据，进行了系统的工艺矿物学研究。结果表明：①矿石中的主要有用矿物为磁铁矿，其次为假象赤铁矿和赤铁矿，含量分别为13.93%、5.65%和3.31%，褐铁矿分布较少为1.01%；主要脉石矿物为石英，其次为黑云母、碳酸盐类矿物和辉石，含量分别为39.12%、11.23%、7.78%和6.57%。②矿石主要构造为块状构造、层纹状构造，少量角砾状构造；主要结构有条带状结构、粒状结构，其次为脉状结构、交织结构，少量交代残余结构、辉绿结构、浸染状结构、斑状结构和纤维状结构。③矿石中有用铁矿物结晶粒度微细，主要分布在-0.04 mm粒级，其中磁铁矿（含假象赤铁矿）和赤、褐铁矿分布率分别为63.29%和72.50%，而-0.01 mm粒级分布率则占21.13%和29.16%，因此，欲使铁矿物与脉石达到较好解离，矿石必须细磨。     

An effectiveness analysis of altmetrics indices for different levels of artificial intelligence publications

Scientometrics - Altmetrics indices are increasingly applied to measure scholarly influence in recent years because they can reflect the influence of research outputs more timely comparing with...