Multi-Layer Tree Hierarchical Architecture Based on Web Service

To solve the problem of the information share and services integration in population information system, we propose a multi-layer tree hierarchical architecture. The command （Web Service Call） is recursively muhicast from top layer of tree to bottom layer of tree and statistical data are gatbered from bottom layer to top layer. We implemented the architecture by using Web Services technology. In our implementation, client program is the requestor of Web Services, and all leaf nodes of the last layer are only the provider of Web Services. For those nodes of intermediate layers, every node is not only the provider of Web Services, but also the dispatcher of Web Services. We take population census as an cxample to describe the working flow of the architecture.

Architecture design and demand analysis on application layer of standard system for ubiquitous power Internet of Things

The ubiquitous power Internet of Things(UPIoT)is an intelligent service system with comprehensive state perception,efficient processing,and flexible application of information.It focuses on each link of the power system and makes full use of the mobile internet,artificial intelligence,and other advanced information and communication technologies in order to realize the inter-human interaction of all things in all links of the power system.This article systematically presents to the national and international organizations and agencies in charge of UPIoT layer standardization the status quo of the research on the Internet of Things(IoT)-related industry standards system.It briefly describes the generic standard classification methods,layered architecture,conceptual model,and system tables in the UPIoT application layer.Based on the principles of inheritance,innovation,and practicability,this study divides the application layer into customer service,power grid operation,integrated energy,and enterprise operation,emerging business and analyzes the standard requirements of these five fields.This study also proposes a standard plan.Finally,it summarizes the research report and provides suggestions for a follow-up work.

Trend judgment of abandoned channels and fine architecture characterization in meandering river reservoirs: A case study of Neogene Minhuazhen Formation NmⅢ2 layer in Shijiutuo bulge, Chengning uplift, Bohai Bay Basin, East China

Based on well logging responses,sedimentary patterns and sandstone thickness,the distribution characteristics of meandering river sedimentary sand body of Neogene Minghuazhen Formation NmⅢ2 layer in the west of Shijiutuo Bulge,Chengning Uplift,Bohai Bay Basin were investigated.A new approach to calculate the occurrence of the sand-mudstone interfaces using resistivity log of horizontal well was advanced to solve the multiple solution problem of abandoned channel’s orientation.This method uses the trigonometric function relationship between radius,dip and length of the resistivity log to calculate the occurrence qualitatively-quantitatively to help determine the true direction of the abandoned channels.This method can supplement and improve the architecture dissection technique for meandering river sandbodies.This method was used to study the dip angle and scale of the lateral accretion layers in point bar quantitatively to help determine the spatial distribution of lateral accretion layers.The fine architecture model of underground meandering river reservoir in the study area has been established.Different from traditional grids,different grid densities for lateral accretion layers and bodies were used in this model by non-uniform upscaling to establish the inner architecture model of point-bars and realize industrial numerical simulation of the whole study area.The research results can help us predict the distribution of remaining oil,tap remaining oil,and optimize the waterflooding in oilfields.

A Novel IoT Architecture, Assessment of Threats and Their Classification withMachine Learning Solutions

The Internet of Things(IoT)will significantly impact our social and economic lives in the near future.Many Internet of Things(IoT)applications aim to automate multiple tasks so inactive physical objects can behave independently of others.IoT devices,however,are also vulnerable,mostly because they lack the essential built-in security to thwart attackers.It is essential to perform the necessary adjustments in the structure of the IoT systems in order to create an end-to-end secure IoT environment.As a result,the IoT designs that are now in use do not completely support all of the advancements that have been made to include sophisticated features in IoT,such as Cloud computing,machine learning techniques,and lightweight encryption techniques.This paper presents a detailed analysis of the security requirements,attack surfaces,and security solutions available for IoT networks and suggests an innovative IoT architecture.The Seven-Layer Architecture in IoT provides decent attack detection accuracy.According to the level of risk they pose,the security threats in each of these layers have been properly categorized,and the essential evaluation criteria have been developed to evaluate the various threats.Also,Machine Learning algorithms like Random Forest and Support Vector Machines,etc.,and Deep Learning algorithms like Artificial Neural Networks,Q Learning models,etc.,are implemented to overcome the most damaging threats posing security breaches to the different IoT architecture layers.

Cognitive Intelligence Based 6G Distributed Network Architecture

5G is envisioned to guarantee high transmission rate,ultra-low latency,high reliability and massive connections.To satisfy the above requirements,the 5G architecture is designed with the properties of using service-based architecture,cloud-native oriented,adopting IT-based API interfaces and introduction of the Network Repository Function.However,with the wide commercialization of 5G network and the exploration towards 6G,the 5G architecture exposes the disadvantages of high architecture complexity,difficult inter-interface communication,low cognitive capability,bad instantaneity,and deficient intelligence.To overcome these limitations,this paper investigates 6G network architecture,and proposes a cognitive intelligence based distributed 6G network architecture.This architecture consists of a physical network layer and an intelligent decision layer.The two layers coordinate through flexible service interfaces,supporting function decoupling and joint evolution of intelligence services and network services.With the above design,the proposed 6G architecture can be updated autonomously to deal with the future unpredicted complex services.

Modified Visual Geometric Group Architecture for MRI Brain Image Classification

The advancement of automated medical diagnosis in biomedical engineering has become an important area of research.Image classification is one of the diagnostic approaches that do not require segmentation which can draw quicker inferences.The proposed non-invasive diagnostic support system in this study is considered as an image classification system where the given brain image is classified as normal or abnormal.The ability of deep learning allows a single model for feature extraction as well as classification whereas the rational models require separate models.One of the best models for image localization and classification is the Visual Geometric Group(VGG)model.In this study,an efficient modified VGG architecture for brain image classification is developed using transfer learning.The pooling layer is modified to enhance the classification capability of VGG architecture.Results show that the modified VGG architecture outperforms the conventional VGG architecture with a 5%improvement in classification accuracy using 16 layers on MRI images of the REpository of Molecular BRAin Neoplasia DaTa(REMBRANDT)database.

Color,Time,Layering and Preservation

The preservation of polychromy in 20th century architecture is here considered from both theoretical and operational perspectives.A further theme is that of polymatericity,which addresses issues related to the experimental context with reference to the materials and technologies employed.The passage of time and the lack of durability of innovative materials,the transformations and the presence of forms of alteration and degradation,pose problems related to the will and the possibility of preserving layering,without falling into the restoration of the presumed original document,in relation to the authorial project documentation and the underlying theories.

嵌入式机房多功能模块智能监控系统设计

为充分提高大型机房智能化运维能力,及时排除各种异常情况,实现高精度、低功耗的系统设计目标;提出基于嵌入式的机房多功能模块智能监控系统设计方法;设计针对机房空间的传感信号采集层、数据传输层、后台监控层的多层系统架构;硬件结构设计了用户登录模块、传感器运行模块、数据记录模块和监控显示模块,4个功能模块在多层架构下工作;软件部分通过数据传输程序连接终端设备与云计算中心,利用数据处理程序完成功能模块参数设置,完成嵌入式机房运行数据自动监控,针对系统的功耗问题,设计了微结构级功耗模型,降低系统功耗;实验结果表明:所设计系统容错率在80%以上,数据采集精度高,当浓度超过100 ppm时,自动对烟雾超标情况启动报警装置;可以实时响应接入设备,及时获取预警信息,功耗低,平均响应时间均在2.8 s以下,实现嵌入式机房自动智能监控。

面向能源感知的虚拟机深度强化学习调度算法研究

随着计算机技术的快速发展,云计算技术成为了解决用户存储、算力需求的最佳方法之一。其中,基于NUMA架构的动态虚拟机调度成为了学术界和工业界关注的热点方向。但是,目前的研究中,基于启发式的算法难以对虚拟机进行实时调度,并且大多数文献没有考虑NUMA架构下虚拟机调度产生的能耗等问题。对此,提出了一种基于深度强化学习的大型移动云中心虚拟机服务迁移框架,构建了NUMA架构下的能耗模型;提出了自适应奖励的分层自适应柔性演员评论家算法(Hie-rarchical Adaptive Sampling Soft Actor Critic,HASAC);在云计算场景下,将所提算法与3种经典的深度强化学习方法进行实验对比。实验结果表明,所提改进算法在不同场景下可以处理更多的用户请求,且消耗的能源较少。此外,对算法中各种策略进行消融实验,证明了所提策略的有效性。

层台累榭--楚国建筑形制特征探讨

两周时期楚国作为南方长江流域的霸主国家独领风骚,楚文化源于北方中原的商周文化,发展壮大于南方楚地,得天独厚的自然环境是孕育楚文化的重要基础。基于此,该文首先分析了楚文化及其自然环境的独特特征。其次,推论影响楚建筑形制的因素,提出其在楚文化与楚地自然环境影响下产生发展了楚高台建筑与干阑建筑。最后以文献和考古记载中的楚宫建筑为例,探讨楚国建筑“层台累榭”之形制特征。

容错深度学习加速器跨层优化

容错深度学习加速器是保障高可靠深度学习的基石,也是深度学习应用于安全关键领域如宇航、机器人等面临的一个关键环节.然而,深度学习计算和访存都非常密集,传统基于冗余计算的容错方法直接应用于深度学习加速器的容错设计会导致严重的功耗、芯片面积等硬件资源开销.为此,从神经元计算任务和神经元的数据位宽2个维度挖掘深度学习模型对于故障的敏感度差异,并利用这些差异从架构和电路层分别对于敏感的部分提供更多的保护以降低容错代价.同时,利用深度学习自身的容错特性,通过限制量化缩小电路层需要保护的电路逻辑规模.最后,利用贝叶斯优化协同优化算法、架构和电路的跨层设计参数,在保障深度学习可靠性、精度以及性能的前提下,最小化硬件资源开销.

基于MEC服务器优先服务的路侧单元MAC层调度策略

针对多接入边缘计算(MEC)服务器高可靠、低时延和大数据量的数据传输要求,基于无冲突接入、优先级架构和弹性服务技术,提出一种适用于车辆边缘计算场景下的媒体访问控制(MAC)调度策略。所提策略由车联网(IoV)路侧单元(RSU)集中协调信道接入权,优先确保车载网络中车载通信单元(OBU)与MEC服务器之间的链路传输质量,以及时传输车辆到网络(V2N)业务数据;同时,对本地OBU之间的业务采取弹性服务方式,增强密集车辆接入时应急消息传输的可靠性。首先,构建调度策略的排队分析模型;其次,根据各时刻系统状态变量的无后效性特点建立嵌入式马尔可夫链,并通过概率母函数的分析方法对系统进行理论分析,得到MEC服务器通信单元和OBU的平均排队队长、平均等待时延和RSU查询周期等关键指标的精确解析表达式。计算机仿真实验结果表明,统计分析结果与理论计算结果一致,所提调度策略在高负载情况下能够提高IoV的稳定性和灵活性。

基于IEC 61968的配电终端数字孪生体建模方法

配电终端存在量大且分布广、故障率高、运维难度大等特点,数字孪生技术为配电终端从“被动运维”向“主动运维”转变提供了新思路。该文提出了配电终端数字孪生体的建模原则、五层建模架构和建模方法。其中,为实现数字孪生体与外部系统的信息交互,提出基于IEC 61968规范的CIM(Common Information Model)模型的扩展方法。最后以健康评估为例,构建了基于数字孪生体的配电终端健康评估构架和信息流。研究成果可为配电终端健康评估、远程运维等具有配电自动化发展趋势的高级应用奠定模型基础。

福州都市圈市域铁路网络架构研究

[目的]为应对福州都市圈的发展要求,需构建与其他轨道交通方式高效融合的市域(郊)铁路网,大幅提升福州市中心城区与外围组团、临近郊县之间的空间效应,缩短福州都市圈内交通出行时间,满足福州都市圈主圈层1 h通勤圈的交通需求。[方法]在阐述福州都市圈社会经济及轨道交通概况的基础上,参考国内外都市圈的发展经验,对福州都市圈圈层尺度进行识别,将福州都市圈分为1个主圈层(含交通半径为40 km的通勤圈、交通半径为70 km的辐射圈)和4个次圈层。采用以“功能层次法”为基础、以“节点锚固法”+“点线面法”为支撑的技术方法,提出了福州都市圈主圈层市域铁路网络规划方案,并对该方案进行了效果评价。[结果及结论]该方案对促进福州都市圈内新型城镇化建设、拓宽中心城市发展空间、扩大城市轨道交通辐射半径、提高福州都市圈1 h通勤圈协同发展水平均具有重要的支撑意义。

宁波御史中丞第双层壁画年代刍议

宁波市海曙区茂林村御史中丞第建筑墙体上残存有一处双层壁画,通过对壁画描绘内容的观察,认定上层壁画为八仙图,下层壁画为居家图。对壁画内容、碑刻信息结合建筑年代分析,初步推定下层壁画年代应为明代晚期,上层壁画年代应为清嘉庆年间。御史中丞第建筑则可能是文献中所记载的林氏宗祠垂裕堂。

基于三层网络架构的农企园区网构建与仿真实验

为了提升园区网络的稳定性,降低因网络单点故障带来的影响,利用计算机网络仿真平台构建基于多协议双机热备三层网络架构的农企园区网架构模型,并结合由可编程逻辑控制器、各类传感器和边缘计算网关组成的农业生产环境监测网络,通过仿真模型进行实时数据传输以验证模型的有效性、可靠性和容错性。实验结果表明该网络架构模型能够有效规避由汇聚层和核心层单点故障引发的网络中断,通过随机多次模拟网络单点设备故障,网络整体自愈平均时间为35.74s,能够保证农业生产环境数据传输的永续性,将虚拟仿真网络架构模型与实体农业生产环境监测网络相结合进行研究验证,大幅度提升模型的仿真程度和验证结果的准确性。

A double-layer covered architecture with spinel phase induced by LiPP for Co-free Li-rich cathode with high-rate performance and long lifespan

Co-free Li-rich Mn-based layered oxides are promising candidates for next-generation lithium-ion batteries(LIBs)due to their high specific capacity,high voltage,low cost.However,their commercialization is hindered by limited cycle life and poor rate performance.Herein,an in-situ simple and low-cost strategy with a nanoscale double-layer architecture of lithium polyphosphate(LiPP)and spinel phase covered on top of the bulk layered phase,is developed for Li_(1.2)Mn_(0.6)Ni_(0.2)O_(2)(LMNO)using Li^(+)-conductor LiPP(denoted as LMNO@S-LiPP).With such a double-layer covered architecture,the half-cell of LMNO@S-LiPP delivers an extremely high capacity of 202.5 mAh·g^(−1)at 1 A·g^(−1)and retains 85.3%of the initial capacity after 300 cycles,so far,the best highrate electrochemical performance of all the previously reported LMNOs.The energy density of the full-cell assembled with commercial graphite reaches 620.9 Wh·kg^(−1)(based on total weight of active materials in cathode and anode).Mechanism studies indicate that the superior electrochemical performance of LMNO@S-LiPP is originated from such a nanoscale double-layer covered architecture,which accelerates Li-ion diffusion,restrains oxygen release,inhibits interfacial side reactions,suppresses structural degradation during cycling.Moreover,this strategy is applicable for other high-energy-density cathodes,such as LiNi_(0.8)Co_(0.1)Mn_(0.1)O_(2),Li_(1.2)Ni_(0.13)Co_(0.13)Mn_(0.54)O_(2),LiCoO_(2).Hence,this work presents a simple,cost-effective,scalable strategy for the development of high-performance cathode materials.

以用户为中心的农村资源区域交易平台设计

随着互联网技术的快速发展,农村资源交易面临着新的机遇和挑战。农村地区的交易主要还是以线下为主,并存在诸多问题,如信息不对称、地区交通不便、交易渠道不畅通等。针对农村区域资源交易现状进行分析,提出网络化平台设计和开发建议,设计一套基于3层架构的农村区域交易运营系统,采用“B/S”架构。通过分析调查结果,深入了解农村资源交易的现状和存在的问题,从而为网络化平台的设计与开发提供可靠数据支持。为了进一步增强交易平台的便捷性、智能性和可靠性,增加了交易中双方信誉、基于地图的买家与产品相关联等功能模块。该设计模型能够满足农村资源交易中的各种需求,提高资源的利用效率和质量,为农村电商交易平台的建设提供了重要的参考价值。

基于微服务架构的设备管理系统设计

为了解决单体架构下设备系统耦合度高、维护成本高、扩展困难的问题,开展基于微服务的设备管理系统关键技术研究,建立基于微服务的设备管理系统多层架构,提出一种业务场景驱动的微服务划分方法。通过对领域场景进行分析,建立用例-数据访问模型,计算用例和数据表、数据表和数据表之间的关联度,并将其转换为关系矩阵。利用聚类算法得到微服务划分方案。在某轴承制造企业的应用案例表明该方法能够取得合理的微服务划分结果,为开发人员提供决策支持。

建筑设计二维CAD协同制图的原理及操作要点

文章从二维建筑图的本质出发,分析了二维CAD图设计方法的局限性和优势。通过对比二维CAD图设计方法和三维建筑信息模型、建筑参数化设计方法的区别和各自的优缺点,从原理上分析了采用协同制图的优势,即通过参照制图方法构建起图形对象的关联性和唯一性,从而提高制图效率,降低失误率。文章还介绍了二维CAD制图的一些操作要点,以平面图为例,阐述了拆分零件图的基本方法,分析了参照、块和图层几种制图工具的各自特点和适用对象。