灾害应急远程协同会商系统的设计与集成

传统的电视电话会议,由于空间地域差异或者专业知识的限制,使信息沟通不完整,表述复杂,给会商参与者造成沟通交流障碍.在此基础上,增加分布式地理信息系统,可以使异地参会者实时协作完成各类专题地图制作,增强参会者对会商内容的快速理解,沟通更加便捷,提高会商质量.本文提出灾害应急会商中会议发起人——参会者模式的地图协同标绘应用...     

Hybrid formulation of operator splitting (OS) and Newmark‐β methods for collaborative structural analysis (CSA)

A collaborative structural analysis (CSA) system is developed, which is capable of performing highly sophisticated structural analyses utilizing beneficial features of existing individual structural analysis programs. In the system, the global equations of motion for the overall structural system are formulated in the host program. Some substructures, whose behaviors are relatively simple, are directly solved in the host program, whereas those having complex behavior are analyzed by the station programs. A time‐consuming static condensation procedure is needed for the substructures analyzed by the station programs if adopting an implicit integration scheme. The operator splitting (OS) method, which does not require tangential stiffness, can be used to improve the system efficiency. To this end, a hybrid formulation of the Newmark‐β and OS methods is proposed, and a CSA scheme based on the hybrid formulation is developed. In the CSA system adopting the hybrid formulation, the degrees of freedom whose tangential stiffness are unavailable are formulated by the OS method, whereas the rest are still formulated by the commonly used Newmark‐β method. Using the system, analyses of a three‐story‐braced steel moment‐resisting frame are conducted. In the analyses, the column bases are analyzed using the commercial finite element method software ABAQUS, and the remaining structural elements are analyzed using a frame analysis program called NETLYS. Results suggest that the hybrid formulation is very effective for the CSA system. Copyright © 2008 John Wiley & Sons, Ltd.     

基于情境感知和序列模式挖掘的气象学习资源推荐算法

随着互联网的快速发展,气象部门职工作为学习者可以获得的学习资源得到极大丰富。信息超载导致检索合适的在线学习资源时遇到了困难;学习者在不同学习环境和序列访问模式上也有不同的学习需求。但是,现有的推荐系统,如基于内容的推荐和协同过滤,没有结合学习者的情境和序列访问模式,推荐结果准确度不高。本文提出了一种结合情境感知、序列模式挖掘和协同过滤算法的混合推荐算法来为学习者推荐学习资源。混合推荐算法中,情境感知被用来整合学习者的情境信息,如知识水平和学习目标;序列模式挖掘被用来对网络日志进行挖掘,发现学习者的序列访问模式;协同过滤被用来根据学习者的情境数据和序列访问模式为目标学习者计算预测并生成建议。实验和应用效果表明,该混合推荐算法推荐的质量和准确性方面优于其他推荐算法。     

大气环境卫星温室气体和气溶胶协同观测综述

人类排放的温室气体和气溶胶是造成全球气候变暖和大气环境恶化的主要因素,也是大气环境卫星遥感的核心探测目标。与传统的单一探测目标卫星相比,实现同平台的大气温室气体和气溶胶协同监测,对于提高温室气体卫星反演精度、改善“自上而下”碳源汇估算、提升温室气体和气溶胶的人为/自然源区分能力具有重要意义,也是各国航天机构积极发展的空间探测手段。本文对欧、日、中、美等具备温室气体和气溶胶协同监测能力的卫星进行系统的介绍,包括卫星平台、传感器、处理算法和质控验证。按照卫星监测任务和传感器用途,将其分为大气综合探测卫星和温室气体监测卫星两大类,并从碳中和行动和大气环境综合治理等需求出发,提出温室气体和气溶胶协同观测星座（GACOC）的概念及其发展方向,包括主被动卫星组网观测、温室气体和气溶胶高精度联合反演算法、人为排放源识别和定量监测等应用。     

粤港澳大湾区协同创新的综合测度与演化特征

理解粤港澳大湾区协同创新的网络结构及其演化特征对于新时期大湾区的创新化发展转型至关重要。论文通过构建包括技术创新、知识生产、创新资本3个维度的协同创新测度指标体系,基于城市群流空间网络构建与社会网络分析方法,系统性研究了多创新维度下粤港澳大湾区协同创新的网络结构及其演化特征。结果表明：(1)粤港澳大湾区创新流空间结构呈现出显著的极化特征,且随着时间推移,极化效应不断强化,深圳、香港、广州在创新流空间网络中占据绝对核心地位;(2)多维度创新流要素网络结构呈现出显著差异性,技术创新与创新资本维度中,香港、深圳占据了城市群网络的核心,知识生产维度的核心城市则是广州与香港,广州在各维度网络中均扮演了重要的“枢纽型”城市角色,深圳在各维度网络中的创新层级随着时间推移在不断增长;(3)综合多维度指标的测度结果显示,香港与深圳分别是早期与新时期粤港澳大湾区协同创新网络的核心,当前大湾区整体呈现为穗深港三核心并立的城市群网络空间结构。研究可为新时期粤港澳大湾区创新资源的合理化配置提供理论与实证支撑。     

Towards a collaborative global land cover information service

ABSTRACT

The need and critical importance of global land cover and change information has been well recognized. Although rich collection of such information has been made available, the lack of necessary information services to support its easy access, analysis and validation makes it difficult to find, evaluate, select and reuse them through well-designed workflows. Aiming at promoting the development of the needed global land cover information services, this paper presents a conceptual framework for developing a Collaborative Global Land Cover Information Service (CoGland), followed by discussions on its implementation strategies. The framework supports connected and shared land cover and change web services around the world to address resource sharing, community service and cross-board collaboration needs. CoGland can benefit several recent international initiatives such as Future Earth, and many societal benefit areas. The paper further proposes that CoGland be developed within the framework of the Group on Earth Observations with the support of a number of key organizations such as the United Nations Expert Committee on Global Geospatial Information Management, the International Society for Photogrammetry and Remote Sensing, and International Society of Digital Earth. It is hoped that this paper can serve as a starting point for further discussions on CoGland developments.     

Developing a Web-based flood forecasting system for reservoirs with J2EE / Développement sur Internet avec J2EE d’un système de prévision de crue pour barrages

Abstract

Abstract A flood forecasting system is a crucial component in flood mitigation. For certain important large-scale reservoirs, cooperation and communication among federal, state, and local stakeholders are required when heavy flood events are encountered. The Web-based environment is emerging as a very important development and delivery platform for real-time flood forecasting systems. In this paper, the findings of a case study are presented of the development of a Web-based flood forecasting system for reservoirs using Java 2 platform Enterprise Edition (J2EE). J2EE of Sun Microsystems is chosen as the development solution for the Web-based flood forecasting system, Weblogic 6.0 of BEA as the container provider, and JBuilder 7.0 of Borland as the development tool. One of the key objectives in this project is to establish a collaborative platform for flood forecasting via Web technology in order to render hydrological models and data available to stakeholders and experts involved and thus offer an efficient medium for transferring and sharing information, knowledge and experiences among them. Compared with general Web-based query systems and traditional flood forecasting systems, the Web-based flood forecasting system is more focused on the on-line analysis of model-based forecasting of floods and provides opportunities for improving the transfer of information and knowledge from the hydrological scientists and managers to decision makers. Finally, a prototype system is used to demonstrate the system application.     

Evaluating the Process and Outcomes of Collaborative Conservation: Tools,Techniques, and Strategies

Abstract

Collaborative conservation has been touted as a viable option for addressing contentious natural resource stewardship issues in a way that represents the diverse voices impacted by, and involved in, conservation decisions. Engaging meaningfully in collaborative conservation involves overcoming a unique set of challenges while also realizing opportunities. In this special issue, we use the term collaborative conservation evaluation to encompass research and evaluation related to collaborative governance and collaborative natural resource management projects, programs, or decision-making processes that leverage a participatory approach, involve multiple stakeholders, and incorporate a range of contemporary evaluation approaches. Here, we provide a series of articles and tools intended to highlight different approaches to evaluation that utilize a variety of methodologies adapted for different contexts. We intend for these articles to spark further conversation and inspire future directions in evaluating collaborative conservation for researchers and practitioners.     

苏州市区多种地下地质资源协同开发利用研究

地下空间、地下水、浅层地热能和地质材料是重要的地下地质资源,协同开发利用是大势所趋。苏州既是历史文化名城又是现代国际大都市,城市发展至今对地下地质资源的需求相当迫切。通过对苏州各类地下地质资源的的识别分析,表明其具备分别开发地下空间、地下水、浅层地热能和地质材料资源的能力。若多种资源协同开发,平面上开发利用条件较好,竖向尺度地下浅层到次深层适宜地下空间和地质材料的协同开发,而深层适宜以浅层地热能为主的协同开发。结合苏州国土空间发展格局和地下资源的优势分布特征,城镇空间建议采取“地下空间+浅层地热能”的协同利用模式;农业空间建议采取以“浅层地热能”为主的协同利用模式;生态空间予以生态环境保护。     

基于Fabric区块链的智能合约协同开发系统

针对传统协同开发系统普遍采用"中心化"存储架构带来的单点故障、数据不可信、故障难以追责等安全问题,以及传统协同办公系统仅支持单一企业内部办公的问题,本文借助超级账本Fabric区块链技术以及业务流程管理和服务组合技术实现了一款基于Fabric区块链的智能合约协同开发系统.系统架构中首先结合传统中心化存储技术和区块链去中心化存储技术,通过将系统核心业务数据信息存储在区块链分布式账本中而把业务流程管理等不重要的数据存储在传统数据库中解决了"中心化"存储管理带来的安全信任问题.其次系统通过结合超级账本联盟链技术提供的企业联盟的特点使得系统可以应用于企业联盟办公中,解决了单一办公的问题.