A Novel Agricultural Data Sharing Mode Based on Rice Disease Identification

In this paper,a variety of classical convolutional neural networks are trained on two different datasets using transfer learning method.We demonstrated that the training dataset has a significant impact on the training results,in addition to the optimization achieved through the model structure.However,the lack of open-source agricultural data,combined with the absence of a comprehensive open-source data sharing platform,remains a substantial obstacle.This issue is closely related to the difficulty and high cost of obtaining high-quality agricultural data,the low level of education of most employees,underdeveloped distributed training systems and unsecured data security.To address these challenges,this paper proposes a novel idea of constructing an agricultural data sharing platform based on a federated learning(FL)framework,aiming to overcome the deficiency of high-quality data in agricultural field training.

Web-services-based Integration Design of PDM and DNC Systems

In a networked manufacturing environment, product data integration is the foundation of collaborative manufacturing among manufacturing enterprises. It is very important to build an effective integration mechanism for product data sharing of manufacturing enterprises in geographically dispersed, heterogeneous system platform. In order to integrate enterprise level product data management (PDM) system and shop floor level distributed numerical control (DNC) system, based on the description of Web services technology, a Web-services-based integration approach is presented for facilitating seamless sharing of product data between PDM and DNC systems in a networked manufacturing environment. In order to verify the validity of the proposed approach, an example-based integration development has been implemented with Java 2 Software Development Kit and Java Web Services Developer Pack in Windows 2000 Professional environment.

基于Web自动化理念实现跨平台数据交互

在异构平台的时代,不同平台之间的数据分享和交换对于无缝的工作流和信息整合变得至关重要。然而,缺乏互操作性和兼容性经常妨碍了数据有效交换。本文提出了一种基于Web自动化概念的跨平台数据交互方法。该方法利用自动化脚本和浏览器自动化工具来模拟人类与Web应用程序的交互,实现自动数据检索、转换和传输,能够实现跨平台的无缝自动化数据交换,取代手工操作并减少人为错误。该方法在数据交换方面提高了效率、准确性和可靠性,增强了总体生产力。此外,该方法具有灵活性和可扩展性,以适应不同的数据交换要求,并支持实时数据同步。

Sharing casting technological data on web site

Based on database and asp.net technologies,a web platform of scientific data in the casting technology field has been developed.This paper presents the relevant data system structure,the approaches to the data collection,the applying methods and policy in data sharing,and depicts the collected and shared data recently finished.Statistics showed that there are about 20,000 visitors in China every day visiting the related data through the web,proving that many engineers or other relevant persons are interested in the data.

Web-Based Data Management and Sharing System for Electron Proke Micro-analysis

This paper proposes a useful web-based system for the management and sharing of electron probe micro-analysis( EPMA)data in geology. A new web-based architecture that integrates the management and sharing functions is developed and implemented.Earth scientists can utilize this system to not only manage their data,but also easily communicate and share it with other researchers.Data query methods provide the core functionality of the proposed management and sharing modules. The modules in this system have been developed using cloud GIS technologies,which help achieve real-time spatial area retrieval on a map. The system has been tested by approximately 263 users at Jilin University and Beijing SHRIMP Center. A survey was conducted among these users to estimate the usability of the primary functions of the system,and the assessment result is summarized and presented.

Hipro-HoneyBadgerBFT:一种基于并行运行机制的高性能异步共识算法

在大数据时代,信息流通数量极速增长。区块链技术非常适用于数据共享系统。目前数据共享系统搭建在区块链网络中会出现一些性能方面的瓶颈。为此,在HoneyBadgerBFT共识算法的基础上,提出一种更加高效的异步拜占庭共识算法——Hipro-HoneyBadgerBFT。该算法在不牺牲安全性的前提下,可以降低系统的计算资源,提升算法的共识效率。实验结果表明:Hipro-HoneyBadgerBFT共识算法的时延约为HoneyBadgerBFT共识算法时延的1%,吞吐量提升了7倍,CPU利用率则减少了54.09%。

WEB GIS: IMPLEMENTATION ISSUES

With the rapid expansion and development of Internet and WWW (World Wide Web or Web), Web GIS (Web Geographical Information System) is becoming ever more popular and as a result numerous sites have added GIS capability on their Web sites. In this paper, the reasons behind developing a Web GIS instead of a “traditional" GIS are first outlined. Then the current status of Web GIS is reviewed, and their implementation methodologies are explored as well. The underlying technologies for developing Web GIS, such as Web Server, Web browser, CGI (Common Gateway Interface), Java, ActiveX, are discussed, and some typical implementation tools from both commercial and public domain are given as well. Finally, the future development direction of Web GIS is predicted.

Scalable Distributed File Sharing System: A Robust Strategy for a Reliable Networked Environment in Tertiary Institutions

The bane of achieving a scalable distributed file sharing system is the centralized data system and single server oriented file [sharing] system. In this paper, the solution to the problems in a distributed environment is presented. Thus, inability to upload sizeable files, slow transportation of files, weak security and lack of fault tolerance are the major problems in the existing system. Hence, the utmost need is to build a client-server network that runs on two or more server systems in order to implement scalability, such that when one server is down, the other(s) would still hold up the activities within the network. And to achieve this reliable network environment, LINUX network operating system is recommended among others as a preferred platform for the synchronization of the server systems, such that every user activity like sending of internal memos/mails, publication of academic articles, is replicated;thereby, achieving the proposed result. Hence, Scalable Distributed File Sharing System provides the robustness required to having a reliable intranet.

基于Web Service的分布式电网营销数据共享方法

分布式电网营销数据具有大规模、多源多端口、多方参与的特点,为了提高电网营销数据协作能力,提出基于Web Service的分布式电网营销数据共享方法。基于多个综合能源联供型微网调度模式下的电网营销数据统计分析模型,采用Web Service构架模式,构建分布式电网营销数据的分散控制模型。通过适用性分析与模型测度分析,实现分布式电网营销数据的调度和信息融合。通过综合指数衡量,实现大规模多端口分布式电网营销数据共享调度。测试结果表明:采用该方法进行分布式电网营销数据共享的融合度较高,平均数据融合度高于0.9,提高了分布式电网营销数据共享水平。该方法能够解决大规模多端口电网营销数据调度问题,实现高效、实时、安全的电网营销数据共享。

一种可信分布式数据共享架构Dataweb

该文讨论了一种全新的分布式数据共享架构——Dataweb,该架构在对于分布式数据的识别、认证、授权、仲裁和同步等方面具有相当的优越性。该文还针对Dataweb架构的整体框架和运行模式进行了详细论述。

Spatial Data Sharing on Grid

The Internet technology has already changed the Information Society in profound ways, and will continue to do so. Nowadays many people foresee that there is a similar trajectory for the next generation of Internet - Grid Technology. As an emerging computational and networking infrastructure, Grid Computing is designed to provide pervasive, uniform and reliable access to data, computational and human resources distributed in a dynamic, heterogeneous environment. On the other hand, the development of Geographic Information System （GIS） has been highly influenced by the evolution of information technology such as the Internet, telecommunications, software and various types of computing technology. In particular, in the distributed GIS domain, the development However, due to the closed and centralized has made significant impact in the past decade. legacy of the architecture and the lack of interoperability, modularity, and flexibility, current distributed GIS still cannot fully accommodate the distributed, dynamic, heterogeneous and speedy development in network and computing environments. Hence, the development of a high performance distributed GIS system is still a challenging task. So, the development of Grid computing technology undoubtedly provides a unique opportunity for distributed GIS, and a Grid Computing based GIS paradigm becomes inevitable. This paper proposes a new computing platform based distributed GIS framework - the Grid Geographic Information System （G^2IS）.

基于北斗网格的影像数据REST Web服务系统

多源异构对地观测(Earth Observation,EO)数据的应用已经深入到国民经济建设的各个领域。然而,不同类型、不同来源、不同部门的数据给空间信息的共享带来了极大的挑战,地球剖分网格和Web服务的结合为多源异构数据的共享问题提供了解决思路。其中,北斗网格具有剖分结构简单、易于使用的特点,可以辅助检索影像数据;Web服务可用于北斗网格码标识下的影像数据检索。因此,本文以北斗网格为参考,建立网格与影像数据的映射关系,提出一种遥感影像数据的北斗网格描述方法和影像数据获取方法,并在RESTful架构的基础上,设计一个北斗网格影像描述Web服务和基于北斗网格码的影像数据获取Web服务原型,实现在同一参考框架下以网格为单元的影像数据互操作。

含共享储能的数据中心微网群分布式优化调度

多个数据中心微网可联合成微网群以实现不同数据中心微网的资源联动和能量互补。首先,建立了含共享储能的数据中心微网群运行模型,考虑了不同数据中心微网间的功率交互、数据负载交互、碳配额交互及共享储能容量使用权分配等耦合约束。其次,提出了考虑时变容量使用权和旋转备用服务的共享储能容量分配与运行策略,以进一步提高共享储能的效能。然后,采用高斯混合模型对数据中心微网内可再生发电的预测误差概率分布进行精确拟合,并结合机会约束处理预测误差的不确定性。最后,通过交替方向乘子法实现各个数据中心微网的独立求解,并引入动态乘子更新策略和预测-矫正因子以提高算法的收敛性。所提模型与方法的有效性在仿真中得到验证。

非独立同分布下联邦半监督学习的数据分享研究

联邦学习作为一种保护本地数据隐私安全的分布式机器学习方法,联合分散的设备共同训练共享模型。通常联邦学习在数据均有标签情况下进行训练,然而现实中无法保证标签数据完全存在,提出联邦半监督学习。在联邦半监督学习中,如何利用无标签数据提升系统性能和如何缓解数据异质性带来的负面影响是两大挑战。针对标签数据仅在服务器场景,基于分享的思想,设计一种可应用在联邦半监督学习系统上的方法Share&Mark,该方法将客户端的分享数据由专家标记后参与联邦训练。同时,为充分利用分享的数据,根据各客户端模型在服务器数据集上的损失值动态调整各客户端模型在联邦聚合时的占比,即ServerLoss聚合算法。综合考虑隐私牺牲、通信开销以及人工标注成本3个方面的因素,对不同分享率下的实验结果进行分析,结果表明,约3%的数据分享比例能平衡各方面因素。此时,采用Share&Mark方法的联邦半监督学习系统FedMatch在CIFAR-10和Fashion-MNIST数据集上训练的模型准确率均可提升8%以上,并具有较优的鲁棒性。

面向密度分布不均数据的加权逆近邻密度峰值聚类算法

针对密度分布不均数据,密度峰值聚类算法易忽略类簇间样本的疏密差异,导致误选类簇中心;分配策略易将稀疏区域的样本误分到密集区域,导致聚类效果不佳的问题,本文提出一种面向密度分布不均数据的加权逆近邻密度峰值聚类算法。该算法首先在局部密度公式中引入基于sigmoid函数的权重系数,增加稀疏区域样本的权重,结合逆近邻思想,重新定义了样本的局部密度,有效提升类簇中心的识别率;其次,引入改进的样本相似度策略,利用样本间的逆近邻及共享逆近邻信息,使得同一类簇样本间具有较高的相似度,可有效改善稀疏区域样本分配错误的问题。在密度分布不均、复杂形态和UCI数据集上的对比实验表明,本文算法的聚类效果优于IDPC-FA、FNDPC、FKNN-DPC、DPC和DPCSA算法。

基于Web服务的海洋空间数据共享技术研究与实现

针对我国海洋建设过程中产生的"数据孤岛"问题,为了进一步盘活数字海洋数据资源,充分实现多源、异构、分布式海洋空间数据交换与共享,对数字海洋主中心节点和各子节点单位的海洋空间数据进行统一规划,制定一套数据处理、组织存储、服务制作、共享发布与下载使用等标准流程,并基于数字海洋应用服务系统进行了空间数据共享开发与测试。实验结果表明,通过Web服务技术能够很好地实现矢量图层、地形与遥感影像、三维模型、倾斜摄影和三维全景等空间数据的可视化与共享,有力证明了分布式海洋空间数据以服务的方式实现共享的可行性与安全性。

面向Web的地学数据共享服务平台架构设计

针对地学数据的特点,设计了地学数据Web共享服务平台的总体架构。该共享服务平台由5个层次组织,分13个功能模块,其中元数据管理和元数据服务是该平台的基础设施。利用W3C推荐的RDF/XML设计和构建了该模块,并用ArcIMS提供的空间数据发布引擎和7个必要的元数据接口实现了空间数据的发布。平台体系通过A鄄pache+Tomcat+ArcIMS的系统部署,提供Web共享服务。

基于Web Service的空间数据共享平台

分析传统GIS软件存在的数据共享、集成困难和应用间互操作复杂的问题 ,提出了基于WebService的数据共享平台的简单原型和实现技术。阐述如何基于开放的规范和协议构建开放的数据存储一体化模型 ,并在此基础上 ,提出了分布式环境下基于WebService数据节点集群、互操作方案 ,以及上层统一的应用开发模式 ,包括提供以面向对象的思想定义的、构建上层应用的组件支持。重点研究了在空间数据文本化之后数据的索引、查询问题 ,提出了结合元数据和GML的两阶段数据查询方案。

Web Service技术在中国数字科技馆的应用

根据国家科技基础条件平台项目——中国数字科技馆的需求,分析了中国数字科技馆完成统一资源集成、统一资源服务要求的难点,结合Web Service本身的技术框架,研究了其在中国数字科技馆的应用场景和方法,分析了Web Service技术在解决统一身份认证、资源检索和应用资源调度等的方法和流程。