基于对多媒体网络教学系统的构建应用与研究

多媒体教学信息资源的运用,必将引发一场深层次上的教学改革。其中,新型教材体系的建立是这场变革的前提和保障。根据最新的教学大纲编制的电子教材、电子教案、电教教材、电子题库广泛运用于教学全过程,适合于网络传输的网络版多媒体教材在教学中将起到重要作用。     

修井作业现场3G网络视频监控系统的研究

目前油田修井作业现场生产方式存在信息不畅通的问题,无法实时跟踪监控井场安全生产运行情况和设备安全运转情况。研究应用"修井作业现场3G网络视频监控系统",能很好的解决作业现场视频信息及时交换问题,较好的解决了较偏远的作业队督查、监控问题,提高油田修井作业现场安全管理和应急管理水平。     

视频业务识别方法综述

视频用户体验的质量要求给网络传输带来了巨大挑战,未来的虚拟现实/增强现实(Virtual Reality/Augmented Reality,VR/AR) 视频业务则对交互时延提出了更高要求。视频业务识别是网络运营商及视频业务提供商对视频进行优先网络资源分配和自适应速率控制的基本前提。综述了业务识别领域的一般研究方法及其对视频业务的具体应用。首先,总结了每种业务识别方法的工作原理,对比了这些方法应用于视频业务时的优缺点及在准确率和召回率指标上的识别性能;然后,特别介绍了可以提升识别准确率和计算性能的特征选择算法;最后,阐述并分析了高吞吐量网络分类速度不够、无成熟视频业务识别平台和样本分布不均衡等视频业务识别面临的挑战,并针对现有业务识别方法存在的问题,给出了引入移动边缘计算、基于端口的方法串联其他识别方法等可能的解决方案。     

高标清混合视频监控系统的设计与实施

分析了机车制造企业目前视频监控系统的现状和新的需求,针对机车制造企业的行业特点设计了高标清混合视频监控系统,在设计和实施中应用了高清视频监控的最新技术,同时做到了与原有标清视频监控系统的兼容。给出了具有一定使用价值的高标清混合视频监控系统的逻辑结构、系统总体结构和网络拓扑结构,提出了旧的视频监控系统在升级改造中应该注意的问题。     

1999年至2010年呼伦贝尔市重要湿地遥感动态变化研究

以1999年、2002年和2010年3期TM/ETM影像为数据源,综合应用RS与GIS技术,以呼伦贝尔市西南六县为重点研究区,对其湿地进行专题信息提取和分类,了解呼伦贝尔湿地近10多年来的动态变化。结果表明：近11年来,研究区湿地面积萎缩严重,总面积减少3 522.07 km2,变化率为36.5%。其中新巴尔虎右旗和陈巴尔虎旗湿地面积减少最多,变化主要包括湿地向非湿地的转变和草甸沼泽湿地向草本沼泽湿地的转变。初步反映了呼伦贝尔盟湿地的退化现状,为进一步加强湿地保护与生态恢复提供了依据。     

欧盟BioMA模型在我国农业遥感监测中 应用的可行性分析

针对目前中国农情遥感监测系统CHARMS中,作物长势监测和产量预报还主要应用的是气象模 型、遥感模型、统计模型等,基于作物生物物理模型进行农情监测的研究和应用还较薄弱的现状,该文重 点介绍了欧盟先进的生物物理模型BioMA及其在我国农业遥感监测中应用的可行性分析。该文首先简要介 绍了目前我国农情监测主要采用的方法及BioMA开发的背景和目的,然后详细介绍了BioMA的技术框架及 BioMA由研究向业务化运行转变的可视化模型工具,最后以BioMA中水稻产量预测模型WARM为例,从 数据准备、模型综合利用等方面分析了BioMA在中国农业遥感监测中应用中的可行性。     

智能视频监控技术在监狱中的应用

智能视频监控技术将被动监控变为主动监控,将监狱监控系统的事后分析变为事中分析和事前预警。监狱作为国家的刑罚执行机关,担负着维护社会安宁和稳定、预防和减少犯罪的重要职能,更需要运用现代科技手段来保证职能的履行。本文在分析智能视频监控技术的基础上,探讨了其在监狱中的具体应用。     

Is green growth relevant for poor economies?

To be relevant to developing countries, green growth must be reconciled with the two key structural features of natural resource use and poverty in these countries. First, primary products account for the majority of their export earnings, and they are unable to diversify from primary production. Second, many economies have a substantial share of their rural population located on less favored agricultural land and in remote areas, thus encouraging “geographic” poverty traps. If green growth is to be a catalyst for economy-wide transformation and poverty alleviation in developing countries, then it must be accompanied by policies aimed directly at overcoming these two structural features. Policies and reforms should foster forward and backward linkages of primary production, enhance its integration with the rest of the economy, and improve opportunities for innovation and knowledge spillovers. Rural poverty, especially the persistent concentration of the rural poor on less favored agricultural lands and in remote areas, needs to be addressed by additional targeted policies and investments, and where necessary, policies to promote rural-urban migration.     

Dynamic land use and land cover changes and their effect on forest resources in a coastal village of Matemwe,Zanzibar, Tanzania

Recent land cover change estimates show overall decline of tropical forests at the regional and global scales caused by multiple social, cultural and economic factors. There is an overall concern on the prevailing land use practices, such as shifting cultivation and extraction of forest materials as agents of forests losses, but also new, emerging land uses are threatening tropical forests. Understanding of the long-term development and driving forces of forest changes are needed, especially at local levels where many decisions on forest policies and land uses are made. This paper addresses the importance of such information for improved estimates of forest dynamics by studying local level land cover and land use changes during the last 50–70 years in the Eastern African tropical island of Zanzibar, Tanzania. The paper discusses the role of traditional and new land uses mainly subsistence farming, tourism and government interference through tree planting, in the long-term development of the forests at the village level. The material for the study is gathered from the interpretation of archival maps and aerial photographs combined with contemporary digital aerial photographs. The analyses are based on the mapping, spatial sampling and spatio-temporal change trajectory analysis (LCTA) of forest land cover, forest land uses and settlement patterns with GIS and statistics. Six distinct forest land cover change trajectories were identified and these illustrate dynamic and heterogeneous nature of the forests. Closed forest cover has dominated throughout due to cyclical land use patterns, but over 70% of the land area has been continuously transforming between closed, semi-open and open land cover conditions. Land use turnover rates indicate that hardly any forest areas are left untouched from the forces, which remove and re-establish forest vegetation in the long run. Land cover and land use change trajectories are spatially fragmented in the studied landscape. Majority of forest loss-gain dynamics is caused by shifting cultivation, while forest losses are most dramatic along the coast, where traditional and new land uses meet and land uses pressures are highest. The study suggests that landscape change trajectory analyses, where contemporary and historical information on land uses and land cover changes are spatially linked, can provide valuable aspects into local level forest land use planning and management strategies. For the case study, the findings suggest the following key forest management strategies for consideration: (1) establishment of a protected forest/scrubland in participation with the local stakeholders, especially the farmers, (2) promotion of areas for permanent agricultural practices, while simultaneously introducing management controls in the traditional slash-and-burn farming areas, and (3) promoting new livelihood opportunities for the farmers, who have traditionally been dependent on forest resources, meanwhile introducing alternatives for fuel wood for cooking.     

基于RS和GIS的土地利用结构动态变化及发展预测研究--以南通市为例

在遥感技术（RS）与地理信息系统（GIS）技术支持下,通过对南通市区2003年、2005年、2007年三期中巴地球资源卫星CBERS遥感影像数据进行处理,并通过对处理后的图像进行非监督分类获得了南通市三期土地利用类型图和不同土地利用类型的面积数据,之后通过对三期土地利用类型数据进行叠加分析,得到了南通市区土地利用类型转移矩阵,计算了各种地类的变化率,并对未来南通市区土地利用变化情况做出了预测,结果表明：1.南通市土地变化总体呈现出建设用地持续快速增长,耕地显著减少的趋势;2.导致这种变化的直接诱因则是南通城市化进程加快,经济发展迅速,建筑用地正在不断的取代耕地和其他用地;3.如果以当前的变化模式稳定延续下去,在2012年后很短时间内南通市区建设用地面积将占全区总面积的50%以上,同时耕地面积会进一步大幅下降,土地非农化的趋势将更加明显。