Multi-source heterogeneous data access management framework and key technologies for electric power Internet of Things

The power Internet of Things(IoT)is a significant trend in technology and a requirement for national strategic development.With the deepening digital transformation of the power grid,China’s power system has initially built a power IoT architecture comprising a perception,network,and platform application layer.However,owing to the structural complexity of the power system,the construction of the power IoT continues to face problems such as complex access management of massive heterogeneous equipment,diverse IoT protocol access methods,high concurrency of network communications,and weak data security protection.To address these issues,this study optimizes the existing architecture of the power IoT and designs an integrated management framework for the access of multi-source heterogeneous data in the power IoT,comprising cloud,pipe,edge,and terminal parts.It further reviews and analyzes the key technologies involved in the power IoT,such as the unified management of the physical model,high concurrent access,multi-protocol access,multi-source heterogeneous data storage management,and data security control,to provide a more flexible,efficient,secure,and easy-to-use solution for multi-source heterogeneous data access in the power IoT.

Research progress of heterogeneous structure magnesium alloys:A review

In recent years,a new class of metallic materials featuring heterogeneous structures has emerged.These materials consist of distinct soft and hard domains with significant differences in mechanical properties,allowing them to maintain high strength while offering superior ductility.Magnesium(Mg)alloys,renowned for their low density,high specific strength,exceptional vibration damping,and electromagnetic shielding properties,exhibit tremendous potential as lightweight and functional materials.Despite their advantageous properties,high-strength Mg alloys often suffer from limited ductility.However,the emergence of heterogeneous materials provides a fresh perspective for the development of Mg alloys with both high strength and ductility.This article provided a fundamental overview of heterostructured materials and systematically reviewed the recent research progress in the design of Mg alloys with strength-ductility balance based on heterostructure principles.The review encompassed various aspects,including preparation methods,formation mechanisms of diverse heterostructures,and mechanical properties,both within domestic and international contexts.On this basis,the article discussed the challenges encountered in the design and fabrication of heterostructured Mg alloys,as well as the urgent issues that require attention and resolution in the future.©2024 Chongqing University.Publishing services provided by Elsevier B.V.on behalf of KeAi Communications Co.Ltd.

In-situ/operando techniques to identify active sites for thermochemical conversion of CO_(2) over heterogeneous catalysts

The catalytic conversion of CO_(2) to fuels or chemicals is considered to be an effective pathway to mitigate the greenhouse effect. To develop new types of efficient and durable catalysts, it is critical to identify the catalytic active sites, surface intermediates, and reaction mechanisms to reveal the relationship between the active sites and catalytic performance. However, the structure of a heterogeneous catalyst usually dynamically changes during reaction, bringing a great challenge for the identification of catalytic active sites and reaction pathways. Therefore, in-situ/operando techniques have been employed to real-time monitor the dynamic evolution of the structure of active sites under actual reaction conditions to precisely build the structure–function relationship. Here, we review the recent progress in the application of various in-situ/operando techniques in identifying active sites for catalytic conversion of CO_(2) over heterogeneous catalysts. We systematically summarize the applications of various optical and X-ray spectroscopy techniques, including Raman spectroscopy, Fourier transform infrared (FTIR) spectroscopy, X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), and X-ray absorption spectroscopy (XAS), in identifying active sites and determining reaction mechanisms of the CO_(2) thermochemical conversion with hydrogen and light alkanes over heterogeneous catalysts. Finally, we discuss challenges and opportunities for the development of in-situ characterization in the future to further enlarge the capability of these powerful techniques.

Heterogeneous integration of GaSb layer on(100)Si substrate by ion-slicing technique

Integration of the high-quality Ga Sb layer on an Si substrate is significant to improve the Ga Sb application in optoelectronic integration.In this work,a suitable ion implantation fluence of 5×10^(16)-cm^(-2)H ions for Ga Sb layer transfer is confirmed.Combining the strain change and the defect evolution,the blistering and exfoliation processes of Ga Sb during annealing is revealed in detail.With the direct wafer bonding,the Ga Sb layer is successfully transferred onto a(100)Si substrate covered by 500-nm thickness thermal oxide SiO_(2)layer.After being annealed at 200℃,the Ga Sb layer shows high crystalline quality with only 77 arcsec for the full width at half maximum(FWHM)of the x-ray rocking curve(XRC).

Energy Proficient Reliable Rim Routing Technique for Wireless Heterogeneous Sensor Networks Lifespan Fortification

Sensor nodes are mainly shielded in the field with limited power supply. In Wireless Sensor Networks, there must be a requirement of an efficient power management, because sensor nodes are deployed in unman attended area with non-rechargeable batteries. Power management can be done by different methods of routing protocols. The proposed Reliable Rim Routing (3R) technique is based on hybrid routing protocol for homogeneous and heterogeneous system for WSNs to ameliorate the performance of the overall system. In 3R, total node deployment area can be multipart in terms of rim and in each rim, and some of the sensor nodes transmit their sensed data directly to base station, and meanwhile remaining sensor nodes send the data through clustering technique to base station like SEP. Proposed 3R technique implementation proves its enhanced WSNs lifetime of 70% energy consumption and 40% throughput compared with existing protocols. Simulation and evaluation results outperformed in terms of energy consumption with increased throughput and network lifetime.

Kinetics of the direct reaction between ozone and phenol by high-gravity intensified heterogeneous catalytic ozonation

In this study,high-gravity intensified heterogeneous catalytic ozonation is utilized for treatment of phenol-containing wastewater,and the kinetics of the direct reaction between ozone and phenol in the presence of excess tertiary butanol(TBA)is investigated.It is revealed that the direct reaction between ozone and phenol in the rotating packed bed(RPB)follows the pseudo-first-order kinetics with a reaction rate constant higher than that in the conventional bubbling reactor(BR).Under different conditions of temperature,initial pH,high-gravity factor,and gaseous ozone concentration,the apparent reaction rate constant varies in the range of 0.0160–0.115 min-1.An empirical power-exponential model is established to characterize the effects of these parameters on the direct reaction between ozone and phenol by high-gravity intensified heterogeneous catalytic ozonation.

基于混合Gamma-Poisson分布模型的参数估计与异质性研究

针对连续离散型混合分布的参数估计方法较少,且大多存在高维矩阵求逆或估计效率较低等问题,本文考虑将最小最大化(MM)算法以及组装分解技术应用在Gamma-Poisson混合分布的参数估计中,目的是将高维目标函数分离组装成一系列的低维函数的线性组合,有效地避开高维矩阵求逆的困难。模拟研究表明:MM算法及其组装分解在Gamma-Poisson混合分布模型参数估计中具有较强的准确性和稳定性。将Gamma-Poisson混合分布模型应用到比利时离婚期限数据中,发现Gamma-Poisson混合分布模型对这一组异质性的连续离散型数据具有较好的拟合效果。

异种材料不锈钢和铝合金焊接技术分析及应用

不锈钢和铝合金作为两种常用的金属材料,由于其特殊的物理和化学性质,在工程和制造领域中得到了广泛的应用。然而,由于两种材料的性质差异,其焊接技术一直是一个具有挑战性的问题。对不锈钢和铝合金焊接技术进行深入分析,并探讨其在工程实践中的应用,以期为相关行业的工程师和研究人员提供有益的参考和借鉴。

Cooperative Computing Techniques for a Deeply Fused and Heterogeneous Many-Core Processor Architecture

Due to advances in semiconductor techniques, many-core processors have been widely used in high performance computing. However, many applications still cannot be carried out efficiently due to the memory wall, which has become a bottleneck in many-core processors. In this paper, we present a novel heterogeneous many-core processor architecture named deeply fused many-core （DFMC） for high performance computing systems. DFMC integrates management processing ele- ments （MPEs） and computing processing elements （CPEs）, which are heterogeneous processor cores for different application features with a unified ISA （instruction set architecture）, a unified execution model, and share-memory that supports cache coherence. The DFMC processor can alleviate the memory wall problem by combining a series of cooperative computing techniques of CPEs, such as multi-pattern data stream transfer, efficient register-level communication mechanism, and fast hardware synchronization technique. These techniques are able to improve on-chip data reuse and optimize memory access performance. This paper illustrates an implementation of a full system prototype based on FPGA with four MPEs and 256 CPEs. Our experimental results show that the effect of the cooperative computing techniques of CPEs is significant, with DGEMM （double-precision matrix multiplication） achieving an efficiency of 94%, FFT （fast Fourier transform） obtaining a performance of 207 GFLOPS and FDTD （finite-difference time-domain） obtaining a performance of 27 GFLOPS.

中-下地幔散射体:探测方法、研究进展和展望

得益于地震波传播理论的快速发展、数据分析方法日新月异的变化以及地震观测覆盖区域的增加,我们对地球深部的探测能力从原有的百千米尺度提升到目前的千米尺度.地震层析成像研究很早就揭示出体积庞大的下地幔存在数千千米尺度的不均匀体,而对下地幔更小尺度上(约十千米至百千米)的认识则来自于基于台阵分析的高频地震散射波探测技术.大量证据表明整个下地幔分布着数千米至数千千米不同尺度的速度不均匀体,其形成可能与俯冲至下地幔的洋壳和俯冲板片的岩石圈地幔物质密切相关.因此,对下地幔不均匀体的探测及其分布规律和形成机理的认识,将有助于理解地球内部物质构成及其矿物相变、热化学结构等,进而深化我们对地幔流变性、地幔对流模式和地幔混合效率等地球内部热化学、动力学过程的认识.本文聚焦于分布在约700~2000 km中-下地幔深度的小尺度不均匀体/散射体,首先从散射体的定义和小尺度不均匀性的统计学描述出发,分别介绍探测下地幔小尺度散射体的地震波“探针”及探测方法的特点和局限性,简要回顾一些代表性研究;其后基于搜集到的200余个下地幔散射体数据,分析统计了散射体的深度分布特点;最后针对下地幔散射体探测方法中的问题给出思考,并对该研究方向进行了展望.

面向5G超密集异构网络的模糊逻辑切换算法

针对基站之间距离近、网络数量庞大的超密集网络中切换过程存在干扰以及频繁切换问题,提出了一种基于预判决的模糊逻辑切换算法。算法在计算用户接收信号的信干噪比基础上,预筛选出干扰较小的网络,计算用户在筛选出的候选网络中的停留时间,当停留时间大于门限值时对候选网络使用基于模糊逻辑的逼近理想解排序算法。通过模糊逻辑优化网络属性参数,进而使用逼近理想解排序算法对候选网络进行排序。排序过程中,使用修正后的贴近度计算方式使计算结果更加精确。仿真实验证明,该算法在超密集异构网络切换中可以有效降低切换次数,减少网络阻塞概率,有效提升用户服务质量。

Resource scheduling techniques in cloud from a view of coordination:a holistic survey

Nowadays,the management of resource contention in shared cloud remains a pending problem.The evolution and deployment of new application paradigms(e.g.,deep learning training and microservices)and custom hardware(e.g.,graphics processing unit(GPU)and tensor processing unit(TPU))have posed new challenges in resource management system design.Current solutions tend to trade cluster efficiency for guaranteed application performance,e.g.,resource over-allocation,leaving a lot of resources underutilized.Overcoming this dilemma is not easy,because different components across the software stack are involved.Nevertheless,massive efforts have been devoted to seeking effective performance isolation and highly efficient resource scheduling.The goal of this paper is to systematically cover related aspects to deliver the techniques from the coordination perspective,and to identify the corresponding trends they indicate.Briefly,four topics are involved.First,isolation mechanisms deployed at different levels(micro-architecture,system,and virtualization levels)are reviewed,including GPU multitasking methods.Second,resource scheduling techniques within an individual machine and at the cluster level are investigated,respectively.Particularly,GPU scheduling for deep learning applications is described in detail.Third,adaptive resource management including the latest microservice-related research is thoroughly explored.Finally,future research directions are discussed in the light of advanced work.We hope that this review paper will help researchers establish a global view of the landscape of resource management techniques in shared cloud,and see technology trends more clearly.

文艺复兴时期画家创作特点及其影响作用

从格吕内瓦尔德与文艺复兴时期其他艺术家的比较,说明其作品的异样化特点,从个体性、地域性方面展开讨论,其技法应用和创作情绪对后来在德国乃至更大地区范围内的艺术创作影响深远。

基于数字图像的岩石非均匀性表征技术在流固耦合分析中的应用

岩石的非均匀性对于其破裂及渗流过程具有显著的影响。本文提出了用数字图像处理技术表征岩石非均匀性的基本方法,并通过把该技术实施到岩石破裂过程分析程序RFPA中,来模拟非均匀岩石在外载荷和渗流耦合作用下发生破裂的整个过程。结果表明,基于数字图像的技术是表征岩石细观非均匀性的一种有效方法,为研究非均匀性对于岩石破裂过程及渗流特性的影响提供了一个重要的手段。

基于地统计学和^(15)N技术的湿地土壤氮素空间运移理论探讨

地统计学是探讨自然环境要素空间异质性的有效工具,它适合于定量研究区域化变量的空间结构变异特征。湿地土壤氮素是时空连续的变异体,不论尺度大小均具有高度的空间异质性,而其变量又属于区域化变量,同时具有随机性和结构性特征。因15N示踪技术能够示踪氮素物质的踪迹,而用15N标记的示踪体在湿地土壤中运移时所产生的丰度变化又具有空间异质性,故可考虑将二者结合起来来定量探讨湿地土壤氮素的空间运移。在此,就试对这一问题进行了较为系统和完整的理论探讨。

SVD方法在场分析和预测中的应用

由预报场与因子场的奇异值分解(SVD),可找到影响预报场的主要物理因子,能提取两个场相互作用的主要耦合信号。借助最优化技术,可实现由因子场对预报场的客观预报。以华中汛期降水场为左场,4月北半球500 hPa高度场、海平面气压场、北太平洋海温场组成右场,进行SVD分析和预报试验,其结果令人满意。

融合多类型海洋重力数据算法仿真研究

基于地球物理信息的无源导航系统是未来辅助惯性导航系统的新方向。重力辅助导航是结合存储的重力图及实测的重力数据的一种定位手段。它的关键技术之一就是满足导航需要的重力图。海洋重力测量的方式包括卫星重力测量、航空重力测量、和海面重力测量,它们有各自的特点和适用范围。因此,有效的融合多类型的海洋重力信息对构建高精度的海洋重力图来说是尤为重要的。介绍了一种基于移去-恢复技术的融合方法,并通过仿真实验对算法进行评价,验证算法的效力,是构建高精度海洋重力图新的尝试。

XML数据交换技术的应用与研究

针对目前存在越来越多的异构数据交换问题,本文首先介绍了基于XML在不同平台/系统之间的数据交换方面的发展趋势,分析了各种不同异构数据交换技术,最后以书费结算系统为例探讨基于XML在不同平台/系统之间异构数据交换的具体实现。

严重非均质断块油田稳产技术

针对胡状集油田储层的严重非均质性和构造的地质特点 ,在油藏精细描述、微构造研究、剩余油分布规律认识的基础上 ,利用多种工艺技术 ,最大限度地改善高渗层剖面 ,挖掘中、低渗层潜力 ,提高油田开发水平。这些技术的综合应用 ,有效地控制了油田含水上升率 ,实现了“九五”期间的稳产目标。