Development of foundation models for Internet of Things

With the advent of the Internet of Things (IoT) that offers capabilities to identify and connect worldwide physical objects into a unified system, the importance of modeling and processing IoT data has become significantly accentuated. IoT data is substantial in quantity, noisy, heterogeneous, inconsistent, and arrives at the system in a streaming fashion. Due to the unique characteristics of IoT data, the manipulation of IoT data for practical applications has encountered many fundamental challenging problems, such as data modeling and processing. This paper proposes the infrastructure for an IoT prototype system that aims to develop foundation models for IoT data. We illustrate major modules in the IoT prototype, as well as their functionalities, and provide our vision of the key techniques used for tacking the critical problems in each module.     

沁水盆地煤层气国际合作区块勘探现状

山西沁水盆地一直是国内煤层气勘探开发的热点地区,吸引了国内外众多煤层气专业公司和石油天然气公司来此投入商业运营。本文在详细评价了该盆地7个煤层气国际合作区块的基础上,全面介绍了其中5个区块的煤层气基本特征。内容涉及到煤层气地质条件、气含量、等温吸附特性、煤层埋深、渗透率和生产曲线等。综合分析对比这些参数,有助于我们了解沁水盆地煤层气的生产特性,进而确定其商业开采价值。     

村庄房屋下开采损害预计及对策研究

随着煤炭资源的大量开采,煤炭储量呈现出逐渐减少的趋势,建筑物下压占煤炭资源的开采已经成为一个重点的研究及应用技术。应用概率积分法模型预计王家岭矿首采区2个工作面开采对地表造成的移动变形,并分析了地表变形对地面建筑物的影响程度,最终根据建筑物损害程度给出相应的维护和处理措施。     

矿产资源潜在价值计算方法探析

在矿业经济学领域,就矿产资源潜在价值已展开了很多研究。本文在现有研究的基础上,结合实践经验,给矿产资源潜在价值做了新定义,通过不同勘查开发阶段的价值系数、不同开采难度的价值系数以及市场价格的选取,提出了计算矿产资源潜在价值的新思路,力求能够更全面、更真实的反映矿产资源潜在价值。     

王家岭矿岩石物理力学试验研究

为了对王家岭矿区地质条件有明确的认识,充分了解煤层上覆岩层的物理力学性质,为工程设计、实验研究提供必要的物理和力学参数,通过对王家岭矿某钻孔取芯,进行了岩石密度测试试验、岩石劈裂试验、岩石单轴压缩及变形试验、岩石变角模抗剪试验,分别获得了本矿区主要岩层的密度、抗拉强度、单轴抗压强度、弹性模量、泊松比、内摩擦角和粘聚力等物理力学参数,同时确定了剪切应力与正应力之间的函数关系,对揭示覆岩破坏形式,指导安全采矿具有指导意义.     

煤矿废弃地的微生物修复技术

介绍了煤矿废弃地微生物修复技术的机制,分析了影响煤矿废弃地微生物修复功能的环境因素,讨论了煤矿废弃地微生物修复效果的评价方法,指出了煤矿废弃地微生物修复技术存在的问题。     

Pd/PMo12-GN复合膜的制备及其对甲酸氧化的电催化性能

以紫外光还原法将氧化石墨(GO)还原成石墨烯(GN), 同时将磷钼酸(PMo₁₂)修饰到石墨烯上, 形成磷钼酸功能化的石墨烯PMo₁₂-GN, 并以此为基底利用电化学还原法制备了Pd/PMo₁₂-GN复合膜催化剂。运用X射线粉末衍射、X射线光电子能谱、扫描电镜、透射电镜等对复合膜的组成、结构、形态进行表征, 结果表明: 实验成功制备了Pd/PMo₁₂-GN复合膜催化剂, 且Pd颗粒均匀分散在PMo₁₂-GN基底上。采用CV、计时电流法、CO溶出伏安法、交流阻抗法等电化学方法研究了Pd/PMo₁₂-GN复合膜的电催化性能。研究结果表明: 制备的复合膜催化剂对甲酸氧化反应的催化活性、催化稳定性、抗CO毒化能力和电子传递能力显著优于商品化的Pd/C催化剂。Pd/PMo₁₂-GN复合膜电催化性能的提高主要是由于Pd纳米颗粒在PMo₁₂-GN基底上均匀分散, 以及PMo₁₂的强氧化能力从而使钯表面一氧化碳等中间产物能迅速氧化去除。     

Fabrication and characterization of curcumin-loaded silk fibroin/P（LLA-CL） nanofibrous scaffold

Curcumin exhibited excellent properties including antioxidant, anti- inflammatory, antiviral, antibacterial, antifungal, anticancer, and anticoagulant activities. In this study, curcumin was incorporated into silk fibroin （SF）/poly（L-lactic acid-co-e- caprolactone） （P（LLA-CL）） nanofibrous scaffolds via electrospinning, and changes brought about by raising the curcumin content were observed： SEM images showed that the average nanofibrous diameter decreased at the beginning and then increased, and the nanofibers became uniform; FTIR showed that the conformation of SF transforming from random coil form to β-sheet structure had not been induced, while SF conformation converted to β-sheet after being treated with 75% ethanol vapor; XRD results confirmed that the crystal structure of （P（LLA-CL）） had been destroyed; The mechanical test illustrated that nanofibrous scaffolds still maintained good mechanical properties. Further, curcumin-loaded nanofibrous scaffolds were evaluated for drug release, antioxidant and antimicrobial activities in vitro. The results showed that curcumin presented a sustained release behavior from nanofibrous scaffolds and maintained its free radical scavenging ability, and such scaffolds could effectively inhibit S. aureus growth （〉 95%）. Thus, curcumin-loaded SF/P（LLA-CL） nanofibrous scaffolds might be potential candidates for wound dressing and tissue engineering scaffolds.     

改进的部分分层式粒子滤波重采样算法

粒子滤波算法由于其处理非线性非高斯的能力优势,目前应用领域非常广泛。然而粒子滤波中存在的粒子退化、样贫等问题同样不容忽视,针对这些问题提出了一种改进的重采样粒子滤波算法。该方法借鉴了部分分层重采样和残差重采样的思路,通过对粒子权值大中小分类,在兼顾粒子多样性的情况下用不同策略分层次复制三个集合样本,从而优化了重采样算法。最后通过与经典粒子滤波重采样算法和其他部分重采样(PR)算法相比,以一维非线性跟踪模(UNG)和二维纯角度跟踪模型(BOT)两个模型的仿真结果验证了所提算法的滤波性能和有效性。     

基于无线传感器网络的分布式时分多址调度策略

针对周期汇报型无线传感器网络(WSN)中数据量大而导致的无线信号冲突概率高的问题,提出了一种分布式的时分多址调度策略(DTSS)。该策略采用了一种分布式的竞争算法来构建节点的时隙调度表,即每个节点根据自身搜集到的信息来决定下一跳目的节点,并和其他节点竞争传输时隙。所有节点完成时隙调度表的建立后,节点在每个数据采集周期根据自己的工作时隙调度表发送和接收数据。仿真结果表明,该策略避免了节点无线信号的冲突,降低了节点能耗,延长了网络生命周期。